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Review

Imaging in Vulval Cancer

by
Minah Ha
and
Lois Eva
*
Department of Gynaecological Oncology, Te Toka Tumai Auckland City Hospital, Auckland 1023, New Zealand
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(12), 2269; https://doi.org/10.3390/cancers16122269
Submission received: 30 May 2024 / Revised: 13 June 2024 / Accepted: 16 June 2024 / Published: 19 June 2024
(This article belongs to the Special Issue The Role of Medical Imaging in Gynecological Cancer)
Versions Notes

Abstract

:

Simple Summary

Vulval cancer is a rare gynaecological cancer, accounting for 3% of all gynaecological malignancies. The aim of this publication was to review the current evidence for the role of imaging in the diagnosis and staging of vulval cancer. We found that there is insufficient evidence to support the routine use of imaging for the assessment of primary vulval tumours. For nodal staging, there is no ideal imaging modality that shows superiority over other modalities. For the assessment of distant metastases, CT CAP and PET/CT have the most evidence supporting their use.

Abstract

Vulval cancer is a rare gynaecological cancer, accounting for 3% of all gynaecological malignancies, with 47,000 cases in 2022 globally. Various imaging modalities are widely used in conjunction with clinical assessment in the diagnosis and staging of vulval cancers; however, there is significant heterogeneity in which modalities are recommended in international guidelines, reflecting the paucity of evidence in this area. We reviewed the current evidence for the role of imaging in vulval cancer. A systematic search of the literature was performed on the PubMed database using the MeSH terms ‘vulval neoplasm’ and ‘diagnostic imaging’. We found that there is insufficient evidence to support the routine use of imaging for primary vulval tumours. For nodal assessment, there is no ideal imaging modality with sensitivity or specificity that is superior to other modalities. For distant metastases, CT CAP and FDG-PET/CT have the most evidence to support their use. In conclusion, the evidence for role of imaging in vulval cancer is limited by the heterogeneity of the study design and diagnostic criteria used in each study and the small sample size and retrospective nature of most studies.

1. Introduction

Vulval malignancy is a rare gynaecological neoplasm accounting for 3% of all gynaecological malignancies, with 47,000 cases in 2022 globally [1]. Squamous cell carcinoma (SCC) is the most common histological diagnosis, constituting more than 90% of cases, followed by melanoma, adenocarcinoma, basal cell carcinoma, sarcoma and undifferentiated type [2]. Around 59% of vulval cancers present early with localised disease, while 30% and 6% of cases have metastatic disease in regional lymph nodes and distant sites, respectively [3]. The standard treatment is radical resection of the primary tumour and surgical staging of the inguino-femoral lymph nodes [4]. An important prognostic factor in vulval cancer is lymph node status; the disease-free survival rate at two years is 88% in node-negative patients and 60%, 43% and 29% in patients with one, two or more than two positive lymph nodes, respectively [5]. Accurate preoperative staging is therefore crucial in treatment planning for vulval cancers.
The aim of this review is to evaluate the current evidence in imaging aspects of vulval carcinoma, in its diagnosis, staging, treatment planning, surveillance and in the setting of suspected recurrence. A systematic search of the literature was performed on the PubMed database, using the MeSH terms ‘vulval neoplasm’ and ‘diagnostic imaging’. Sixty-two manuscripts written in the English language were reviewed.
The most widely used staging system for vulval malignancy is the International Federation of Gynaecology and Obstetrics (FIGO) staging system, most recently revised in 2021 based on analyses of prospectively collected data and validated prognostic capability [6]. This is shown in Table 1. Important notations and changes include specifying lymph node positivity as micrometastasis and macrometastasis and allowing the incorporation of cross-sectional imaging findings into vulval cancer staging, similar to cervical cancer [7]. FIGO staging applies to all morphological types of vulval malignancy, with the only exception being vulval melanoma.

2. Summary of Current Guidelines

There is considerable variation in recommendations for imaging in vulval cancer in different guidelines, reflecting the paucity of prospective data in this area.
European Society of Gynaecology Oncology (ESGO) guidelines recommend tailoring imaging modalities depending on the extent of the disease, including no imaging required for clinically FIGO stage IA disease, magnetic resonance imaging (MRI) for locally advanced tumours, ultrasound (US) of the groin for assessment of inguino-femoral lymph nodes, and whole-body computed tomography (CT) for metastasis [8]. For surveillance, it is recommended that imaging should only be performed based on risks of recurrence, symptoms or findings suggestive of recurrence. Groin US may be considered for surveillance in node-negative patients treated with sentinel lymph node (SLN) dissection; however, comment is made on the lack of proven benefit/cost-effectiveness. For suspected recurrence, CT, MRI, chest/abdomen/pelvis fluoro-D-glucose positron emission tomography/CT (FDG-PET/CT) or PET-MRI is recommended for assessing the vulval, groin and pubic area, as well as for detecting possible metastases. ESGO guidelines are only applicable to SCC of the vulva and do not address other vulval cancer histologies.
The National Comprehensive Cancer Network (NCCN) guidelines published in 2024 recommend consideration of chest imaging with chest X-ray and pelvic MRI for initial workup, with other imaging modalities guided by symptomatology and clinical concern for metastatic disease [4]. FDG-PET/CT may be considered in patients with positive sentinel lymph nodes, for evaluation of residual nodal disease in the groin or pelvis, which may guide additional treatment. For follow-up, FDG-PET/CT could be considered at 3–6 months to assess treatment response after definitive primary treatment, but otherwise, imaging should be based on symptoms and clinical concern for recurrent or metastatic disease. For suspected recurrence/metastasis, whole-body CT or FDG-PET/CT should be considered, with pelvis MRI to aid in further treatment planning if confirmed recurrence/metastasis. These recommendations apply to SCC and adenocarcinoma of the vulva, with separate recommendations for vulval melanoma.
The European Society of Urogenital Radiology (ESUR) guidelines published in 2021 recommend no routine imaging for stage IA disease, in line with ESGO guidelines [9]. Pelvic MRI is recommended for local staging of SCC with stromal invasion > 1 mm, tumour size > 4 cm, or tumours with suspicious involvement of the urethra, vagina or anus (i.e., FIGO stages IB and II). For tumours > 2 cm and ≤4 cm, clinical staging and groin US (with fine needle aspiration (FNA) cytology of suspicious lymph nodes) or MRI are recommended. For regional or locally advanced disease (FIGO stages III-IVA) or metastatic disease (FIGO stage IVB), chest/abdomen/pelvis CT (CT-CAP) or FDG-PET/CT is recommended, with intravenous contrast on portal-venous phase to increase diagnostic accuracy. For suspicion of recurrence, pelvis MRI is recommended for determining the extent of local recurrence, and restaging by CT-CAP or FDG-PET/CT is recommended for groin recurrence. Similar to ESGO guidelines, these recommendations apply to SCC of the vulva and not to other histological types of vulval SCC.
The Society of Gynaecologic Oncology (SGO) published a guideline specifically on post-treatment surveillance and diagnosis of recurrence in gynaecologic malignancies in 2017 [10]. For vulval malignancy, routine use of radiographic imaging for surveillance is not recommended due to a lack of evidence to support this. In the setting of suspected recurrence, CT-CAP or FDG-PET/CT is recommended, especially if exenterative surgery is considered, to rule out distant disease.

3. Imaging Modalities for the Primary Vulval Tumour

There are only a few studies that have examined the role of imaging for the primary lesion in vulval malignancies, reflecting the critical value of thorough clinical examination.
There are two retrospective studies evaluating the role of MRI in assessing the extent of the primary lesion. In a retrospective study published in 2002, the staging accuracy of pelvic MRI was evaluated in 22 patients with primary vulval SCC undergoing surgery, with an accuracy of 70% [11]. Similar results were seen in another retrospective study by Kataoka et al., where diagnostic accuracy of pelvic MRI was assessed in 36 patients with primary vulval cancer, with 69% accuracy for the primary tumours [12].
The use of FDG-PET/CT was evaluated in two retrospective studies. Peiro et al. showed that the sensitivity of FDG-PET/CT for the detection of vulval malignancy was 100% in SCC and 60% in non-squamous lesions in their retrospective study of 10 patients [13]. This was consistent with the 100% sensitivity of FDG-PET/CT for detecting primary tumours in a retrospective study of 47 patients by Yanarates et al. [14].
Wessels et al. evaluated the use of optical coherence tomography (OCT) for determining surgical margins for SCC of the vulva [15]. In OCT, backscattered light is used to produce cross-sectional images, similar to backreflected sound waves in ultrasonography. In their prospective study of 18 patients undergoing surgery for vulval SCC, OCT was shown to have a sensitivity of 100% and specificity of 80% when a threshold of 0.35 mm was used to distinguish between benign (<0.35 mm) and (pre)malignant lesions (>0.35 mm).

4. Imaging Modalities for Nodal Assessment

In contrast to the paucity of evidence for imaging for primary vulval lesions, there are several prospective and retrospective studies evaluating imaging modalities in assessing inguino-femoral lymph node status in vulval cancer. This reflects the poor sensitivity of clinical examination in detecting inguino-femoral lymph node metastases [16], and the high rate of postoperative morbidity associated with radical groin dissection, necessitating a non-invasive or minimally invasive technique that allows the selection of patients for whom unnecessary groin lymphadenectomy can be avoided [17].

4.1. Magnetic Resonance Imaging (MRI)

Six studies have reviewed the utility of MRI in assessing nodal status (Table 2) [11,12,18,19,20,21]. Within these six studies, there were significant heterogeneity in the diagnostic criteria for metastatic lymph nodes and considerable differences in the reported sensitivity and specificity of MRI in detecting metastatic lymph nodes (Table 2). Two studies reported a low sensitivity of 40–52% [11,20], while the other four studies reported a high sensitivity of 86–89% [12,18,19,21]. Specificity was consistently reported high, ranging from 82 to 100%, except for Sakae et al. reporting a specificity of 70.6%. All six studies had a small sample size, ranging between 10 and 60 patients.

4.2. Computed Tomography (CT)

Four studies evaluating the role of CT-CAP in the preoperative assessment of lymph node metastases were identified (Table 3) [22,23,24,25]. Most of these studies used a nodal diameter > 10 mm as a diagnostic criterion, with abnormal appearance and evidence of necrosis as other markers of lymph node metastases on CT. All four studies reported a low sensitivity of 43–58% and specificity of 75–96% and concluded that preoperative CT is of limited value for preoperative diagnosis of nodal metastases.

4.3. Positron Emission Tomography/Computed Tomography (PET/CT)

PET/CT is the modality most widely studied for its usefulness in assessing nodal status in vulval cancer (Table 4). The majority of studies, however, had a small sample size ranging from 8 to 25 patients, with only one study having a significantly large sample size of 160 patients. In an early study by De Hullu et al., PET CT using L-[1–11C]-tyrosine (TYR) as a tracer was evaluated in 25 patients with vulval cancer, with a low sensitivity of 53%. It was concluded that TYR-PET was not superior to palpation in detecting inguinal lymph node metastases [26]. All other studies examining the role of PET-CT used fludeoxyglucose-18 (18F-FDG) as the tracer, with conflicting results. A number of studies reported a high sensitivity of 92–100% and concluded that 18F-FDG PET/CT may be a useful modality in the preoperative assessment of lymph node status in vulval cancers [27,28,29,30]. Conversely, a number of other studies have reported a low sensitivity ranging from 50 to 80%, and concluded that 18F-FDG PET/CT is not accurate in predicting lymph node metastasis [31,32,33].
Most studies have consistently reported on high specificity and negative predictive value, with some authors concluding that PET may be useful in planning radiation treatment and as an adjunct to lymphoscintigraphy and sentinel lymph node biopsy [31,32,34]. In a retrospective study by Robertson et al., the physician’s prognostic impression changed in 54% of cases after PET/CT, suggesting that it may play an important role in treatment planning [35].
In 2021, Triumbari et al. published a systematic review and meta-analysis of 10 studies evaluating 18F-FDG PET/CT in vulval cancer patients [36]. In their analysis, qualitative per-patient analysis resulted in a pooled sensitivity of 70%, specificity of 90%, PPV of 86% and NPV of 77%. It was concluded that a negative preoperative PET/CT may exclude groin metastases and select patients with early vulval cancer, who may be eligible for a less radical surgical treatment.
Table 4. Summary of studies evaluating the role of PET/CT in the detection of inguino-femoral lymph node metastases.
Table 4. Summary of studies evaluating the role of PET/CT in the detection of inguino-femoral lymph node metastases.
AuthorType of StudyYearNumber of PatientsDiagnostic CriteriaFindings
De Hullu et al. [26]Prospective199925Visual (qualitative) analysisSensitivity 53%
Specificity 95%
PPV 33%
NPV 98%
Cohn et al. [31]Prospective200215Visual (qualitative) analysisSensitivity 80%
Specificity 90%
PPV 80%
NPV 90%
Kamran et al. [32]Retrospective201420Focal increased tracer uptake (SUVmax)Sensitivity 50%
Specificity 100%
PPV 100%
NPV 57%
Peiro et al. [13]Retrospective201410Visual (qualitative) analysisSensitivity 100%
Lin et al. [27]Prospective201523SUVmax interpreted by two nuclear medicine physicians and two radiologistsSensitivity 92%
specificity 91%
PPV 85%
NPV 95%
Dolanbay et al. [30]Prospective20158Visual (qualitative) analysisSensitivity 100%
Specificity 100%
Robertson et al. [35]Retrospective201654Qualitative assessmentChange in prognosis in 51% of patients
Collarino et al. [29]Prospective201733Qualitative (visual) analysis and semi-quantitative analysis (SUVmax)Sensitivity 95%
Specificity 78%
PPV 69%
NPV 96%
Crivellaro et al. [33]Retrospective201729Focal increased tracer uptakeSensitivity 50%
Specificity 67%
PPV 58%
NPV 59%
Garganese et al. [34]Prospective201747Focal uptake of FDG tracerSensitivity 56%
Specificity 88%
PPV 38%
NPV 93%
Oldan et al. [37]Retrospective201821SUVmax cutoff of 4.5 or of two times the average liver uptakeSensitivity 100%
specificity 89%
Rufini et al. [28]Retrospective2021160Visual assessmentSensitivity 86%
Specificity 66%
PPV 52%
NPV 91%
Semi-quantitative analysis (SUVmax cut-off 1.89)Sensitivity 73%
Specificity 85%
PPV 68%
NPV 88%
Overall assessmentSensitivity 79%
Specificity 78%
PPV 61%
NPV 89%
Triumbari et al. [36]Systematic review and meta-analysis202172As per individual studiesSensitivity 70%
Specificity 90%
PPV 86%
NPV 77%

4.4. Ultrasound (US)

Ultrasound (US) assessment of lymph node status was studied in several small studies (Table 5). Similar to studies evaluating MRI and CT, there was significant heterogeneity in how a positive lymph node was defined on US. Most studies reported a high sensitivity and specificity, in the ranges of 80–100% and 83–96%, respectively, with improved accuracy when combined with FNA cytology [22,38,39,40,41,42]. Some authors have concluded that US, combined with FNA cytology, may be a useful preoperative tool to identify those who need groin dissection from those with uninvolved nodes, who could be spared from groin dissection and the associated morbidity [39,40]. Conversely, De Gregorio et al. conclude that, due to the fatality of a missed nodal metastasis, surgical staging for nodal metastases is still required, despite the relatively high sensitivity and specificity of US in predicting lymph node metastases [41]. Findings from a study by Sykes et al. further support the importance of accurate surgical staging and pathological assessment of sentinel lymph nodes, and not relying on imaging alone to detect nodal metastases [43]. In their multicentre retrospective review, a critical evaluation was performed on cases with early-stage vulval cancer with negative sentinel lymph nodes that later developed groin recurrence. It was found that in two of these cases, the recommended pathology protocol had not been adhered to, with metastases identified following serial sectioning of the node. In view of this evidence, the role of imaging is to exclude nodal metastases, not to diagnose them.
In 2022, Verri et al. published a systematic review and meta-analysis of eight studies on US assessment of groin lymph nodes in vulval cancer, some of which have been described above [44]. The pooled sensitivity and specificity from the meta-analysis were 85% and 86%, respectively. The pooled PPV and NPV were 65% and 92%, respectively. The authors concluded that ultrasound should be considered an accurate tool for assessment of nodal staging, to allow patients with low risk of nodal metastases to receive less invasive surgeries such as sentinel node biopsy; however, further prospective multicentre studies are required to confirm these findings.

4.5. Sentinel Lymph Node Biopsy

Sentinel lymph node identification using lymphoscintigraphy and the use of technetium-99 m-labelled nanocolloid (99 mTc) has also been evaluated in a number of studies [45,46,47,48,49,50,51,52,53,54,55]. Eleven of these studies were reviewed in a systematic review published in 2005, with a pooled sensitivity of 97% and a specificity of 100% [56].
The safety and clinical utility of the sentinel lymph node procedure were studied in GROINSS V-I, which was a multicentre observational study of 403 patients [57]. Patients with negative sentinel lymph nodes had no further treatment, while patients with positive sentinel lymph nodes had full inguino-femoral lymphadenectomy, and postoperative external radiation therapy was performed in those with more than one intranodal metastasis and/or extranodal tumour growth. The groin recurrence rate was 2.3% in patients with unifocal vulval disease and negative sentinel lymph nodes, with a median follow-up of 35 months.
Intraoperative use of indocyanine green (ICG) coupled with near-infrared (NIR) fluorescence imaging as a potential alternative to radioisotope use has been assessed in a number of studies, due to the high cost and complex logistics associated with radioisotope use [58]. A systematic review of 13 studies assessing the use of ICG and NIR fluorescence for the detection of SLN reported a detection rate of 89.7–100%, with no study demonstrating the superiority of other detection techniques compared to ICG and NIR imaging [59].

5. Imaging Modalities for Distant Metastasis

There is limited literature on the best imaging modality when assessing the presence of distant metastases in vulval cancer. The two modalities that have been studied are CT CAP and FDG-PET/CT.
Andersen et al. reviewed the role of preoperative CT CAP in 27 patients with localised vulval cancer [23]. No distant metastases were found, and preoperative CT did not change the initial treatment plan for any of the patients. Robertson et al. reviewed the addition of PET/CT to the conventional CT or MRI imaging in 54 patients and found that distant metastases were found in 10 patients, 4 of which were not seen on CT-CAP [35]. In a retrospective review by Lin et al., FDG PET/CT was reviewed in 23 patients with vulval cancer, in addition to CT-CAP or MRI [27]. There were no significant differences in sensitivity, specificity or accuracy between CT or MRI and FDG-PET/CT. Peiro et al. reviewed the utility of FDG-PET/CT in 10 patients, with four studies with possible distant metastases; 3 of these patients had changes to their management based on their FDG-PET/CT findings [13].

6. Imaging Modalities for Surveillance after Treatment and for Suspected Recurrent Vulval Cancer

Only two studies specifically evaluating imaging for surveillance and for suspected recurrence were identified in our review [60,61].
Pouwer et al. reviewed the role of groin US in women with negative sentinel lymph nodes in their single-centre prospective study [60]. In total, 139 women with vulval SCC with a negative SLN were monitored with three monthly ultrasounds of the groin. Two asymptomatic isolated groin recurrences were detected, after 348 ultrasounds and 29 FNA biopsies in total, with a sensitivity of 100% and specificity of 92%. The authors concluded that routine follow-up with ultrasound of the groin may lead to early detection of asymptomatic isolated groin recurrence.
In a retrospective multicentre study by Albano et al., the impact of FDG-PET/CT on treatment decision making in 63 patients with suspected recurrent vulval cancer was reviewed [61]. Out of 63 patients, 52 had the presence of recurrence on PET/CT, with reported sensitivity, specificity, PPV, NPV and accuracy of 100%, 92%, 98%, 100% and 98%. In 28 patients, PET/CT was registered as having a relevant impact; 12 moved from local therapy to systemic treatment due to disseminated disease, 10 showed the site of recurrence that was negative on conventional imaging, and 6 cases were confirmed to be true negatives and avoided unnecessary treatment. Based on these results, the authors have concluded that PET/CT has a high sensitivity and specificity in assessing patients with recurrent vulval cancer, with a significant impact on clinical decision making.

7. Conclusions

The role of imaging in vulval cancer has evolved over time. As with all rare tumours, the evidence for the role of imaging in vulval cancer is limited by the heterogeneity of the study design and diagnostic criteria used in each study, as well as the small sample size and retrospective nature of most studies. In early-stage disease (i.e., FIGO stage IA), an accurate assessment with clinical examination of the primary tumour may suffice for staging prior to treatment. In disease where the depth of invasion of the tumour is more than 1 mm, imaging has an important role in the assessment of local spread and in detecting nodal and distant metastases. In terms of delineation of local disease, MRI has superior soft-tissue resolution over other modalities and gives the best assessment of the size of the primary tumour, as well as the involvement of surrounding structures. For nodal staging, there is no perfect imaging modality that shows superiority over other modalities. Given the non-inferiority of US compared with CT, MRI or FDG-PET/CT, as well as the wider availability and low cost of US, further prospective studies on optimising the diagnostic performance of US may yield the most value in advancing our preoperative assessment of nodal status. Regardless of the modality used, consistent and comprehensive reporting on nodal assessment, such as that suggested by the Vulvar International Tumour Analysis (VITA) group, is crucial for optimising our diagnostic capability of nodal staging [62]. CT-CAP is the most useful in the detection of distant metastases and recurrent disease, especially if combined with FDG-PET/CT.

Author Contributions

Conceptualisation, supervision, critical review and editing, L.E. Literature review, writing—review and editing, M.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analysed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. World Health Organization. GLOBOCAN 2020: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2020. Available online: https://gco.iarc.fr/today/en/dataviz/bars?sexes=2&mode=cancer&group_populations=1&sort_by=value0&nb_items=-1 (accessed on 15 April 2024).
  2. Weinberg, D.; Gomez-Martinez, R.A. Vulvar Cancer. Obstet. Gynecol. Clin. N. Am. 2019, 46, 125–135. [Google Scholar] [CrossRef]
  3. Serrado, M.A.; Horta, M.; Cunha, T.M. State of the art in vulvar cancer imaging. Radiol. Bras. 2019, 52, 316–324. [Google Scholar] [CrossRef]
  4. National Comprehensive Cancer Network. NCCN clinical practice guidelines in oncology: Vulvar cancer (version 3.2024). J. Natl. Compr. Cancer Netw. 2024, 22, 117–135. [Google Scholar] [CrossRef]
  5. Woelber, L.; Eulenburg, C.; Choschzick, M.; Kruell, A.; Petersen, C.; Gieseking, F.; Jaenicke, F.; Mahner, S. Prognostic role of lymph node metastases in vulvar cancer and implications for adjuvant treatment. Int. J. Gynecol. Cancer 2012, 22, 503–508. [Google Scholar] [CrossRef]
  6. Olawaiye, A.B.; Cotler, J.; Cuello, M.A.; Bhatla, N.; Okamoto, A.; Wilailak, S.; Purandare, C.N.; Lindeque, G.; Berek, J.S.; Kehoe, S. FIGO staging for carcinoma of the vulva: 2021 revision. Int. J. Gynecol. Obstet. 2021, 155, 43–47. [Google Scholar] [CrossRef]
  7. Bhatla, N.; Berek, J.S.; Cuello Fredes, M.; Denny, L.A.; Grenman, S.; Karunaratne, K.; Kehoe, S.T.; Konishi, I.; Olawaiye, A.B.; Prat, J.; et al. Revised FIGO staging for carcinoma of the cervix uteri. Int. J. Gynecol. Obstet. 2019, 145, 129–135. [Google Scholar] [CrossRef]
  8. Oonk, M.H.M.; Planchamp, F.; Baldwin, P.; Mahner, S.; Mirza, M.R.; Fischerova, D.; Creutzberg, C.L.; Guillot, E.; Garganese, G.; Lax, S.; et al. European Society of Gynaecological Oncology Guidelines for the Management of Patients with Vulvar Cancer—Update 2023. Int. J. Gynecol. Cancer 2023, 33, 1023–1043. [Google Scholar] [CrossRef]
  9. Nikolic, O.; Sousa, F.A.E.; Cunha, T.M.; Nikolic, M.B.; Otero-Garcia, M.M.; Gui, B.; Nougaret, S.; Leonhardt, H.; ESUR Female Pelvic Imaging Working Group. Vulvar cancer staging: Guidelines of the European Society of Urogenital Radiology (ESUR). Insights Imaging 2021, 12, 131. [Google Scholar] [CrossRef]
  10. Salani, R.; Khanna, N.; Frimer, M.; Bristow, R.E.; Chen, L.M. An update on post-treatment surveillance and diagnosis of recurrence in women with gynecologic malignancies: Society of Gynecologic Oncology (SGO) recommendations. Gynecol. Oncol. 2017, 146, 3–10. [Google Scholar] [CrossRef]
  11. Sohaib, S.A.; Richards, P.S.; Ind, T.; Jeyarajah, A.R.; Shepherd, J.H.; Jacobs, I.J.; Reznek, R.H. MR imaging of carcinoma of the vulva. AJR Am. J. Roentgenol. 2002, 178, 373–377. [Google Scholar] [CrossRef]
  12. Kataoka, M.Y.; Sala, E.; Baldwin, P.; Reinhold, C.; Farhadi, A.; Hudolin, T.; Hricak, H. The accuracy of magnetic resonance imaging in staging of vulvar cancer: A retrospective multi-centre study. Gynecol. Oncol. 2010, 117, 82–87. [Google Scholar] [CrossRef]
  13. Peiro, V.; Chiva, L.; Gonzalez, A.; Bratos, R.; Alonso, S.; Marquez, R.; Carballo, N.; Alonso-Farto, J.C. Utility of the PET/CT in vulvar cancer management. Rev. Esp. Med. Nucl. Imagen Mol. 2014, 33, 87–92. [Google Scholar] [CrossRef]
  14. Yanarates, A.; Budak, E.; Budak, A.; Inan, A.H.; Kanmaz, A.G.; Oral, A.; Yazici, B. Clinical value of metabolic PET parameters of primary vulvar carcinoma. Rev. Esp. Med. Nucl. Imagen Mol. Engl. Ed. 2021, 40, 367–371. [Google Scholar] [CrossRef]
  15. Wessels, R.; van Beurden, M.; de Bruin, D.M.; Faber, D.J.; Vincent, A.D.; Sanders, J.; van Leeuwen, T.G.; Ruers, T.J. The value of optical coherence tomography in determining surgical margins in squamous cell carcinoma of the vulva: A single-center prospective study. Int. J. Gynecol. Cancer 2015, 25, 112–118. [Google Scholar] [CrossRef]
  16. Makela, P.J.; Leminen, A.; Kaariainen, M.; Lehtovirta, P. Pretreatment sonographic evaluation of inguinal lymph nodes in patients with vulvar malignancy. J. Ultrasound Med. 1993, 12, 255–258. [Google Scholar] [CrossRef]
  17. Wagner, M.M.; van der Zee, A.G.J.; Oonk, M.H.M. History and Updates of the GROINSS-V Studies. Cancers 2022, 14, 1956. [Google Scholar] [CrossRef]
  18. Hawnaur, J.M.; Reynolds, K.; Wilson, G.; Hillier, V.; Kitchener, H.C. Identification of inguinal lymph node metastases from vulval carcinoma by magnetic resonance imaging: An initial report. Clin. Radiol. 2002, 57, 995–1000. [Google Scholar] [CrossRef]
  19. Singh, K.; Orakwue, C.O.; Honest, H.; Balogun, M.; Lopez, C.; Luesley, D.M. Accuracy of magnetic resonance imaging of inguinofemoral lymph nodes in vulval cancer. Int. J. Gynecol. Cancer 2006, 16, 1179–1183. [Google Scholar] [CrossRef]
  20. Bipat, S.; Fransen, G.A.; Spijkerboer, A.M.; van der Velden, J.; Bossuyt, P.M.; Zwinderman, A.H.; Stoker, J. Is there a role for magnetic resonance imaging in the evaluation of inguinal lymph node metastases in patients with vulva carcinoma? Gynecol. Oncol. 2006, 103, 1001–1006. [Google Scholar] [CrossRef]
  21. Sakae, C.; Yamaguchi, K.; Matsumura, N.; Nakai, H.; Yoshioka, Y.; Kondoh, E.; Hamanishi, J.; Abiko, K.; Koshiyama, M.; Baba, T.; et al. Groin lymph node detection and sentinel lymph node biopsy in vulvar cancer. J. Gynecol. Oncol. 2016, 27, e57. [Google Scholar] [CrossRef]
  22. Land, R.; Herod, J.; Moskovic, E.; King, M.; Sohaib, S.A.; Trott, P.; Nasiri, N.; Shepherd, J.H.; Bridges, J.E.; Ind, T.E.; et al. Routine computerized tomography scanning, groin ultrasound with or without fine needle aspiration cytology in the surgical management of primary squamous cell carcinoma of the vulva. Int. J. Gynecol. Cancer 2006, 16, 312–317. [Google Scholar] [CrossRef]
  23. Andersen, K.; Zobbe, V.; Thranov, I.R.; Pedersen, K.D. Relevance of computerized tomography in the preoperative evaluation of patients with vulvar cancer: A prospective study. Cancer Imaging 2015, 15, 8. [Google Scholar] [CrossRef]
  24. Pounds, R.; O’Neill, D.; Subba, K.; Garg, A.; Scerif, M.; Leong, E.; Nevin, J.; Kehoe, S.; Yap, J. The role of preoperative computerized tomography (CT) scan of the pelvis and groin in the management of clinically early staged vulva squamous cell carcinoma. Gynecol. Oncol. 2020, 157, 444–449. [Google Scholar] [CrossRef]
  25. Bohlin, K.S.; Bruno, A.K.; von Knorring, C.; Rahm, C.; Leonhardt, H. Accuracy of computerized tomography in the preoperative evaluation of metastases in primary vulvar cancer—A population-based study. Gynecol. Oncol. 2021, 161, 449–453. [Google Scholar] [CrossRef]
  26. De Hullu, J.A.; Pruim, J.; Que, T.H.; Aalders, J.G.; Boonstra, H.; Vaalburg, W.; Hollema, H.; Van Der Zee, A.G. Noninvasive detection of inguinofemoral lymph node metastases in squamous cell cancer of the vulva by L-[1–11C]-tyrosine positron emission tomography. Int. J. Gynecol. Cancer 1999, 9, 141–146. [Google Scholar] [CrossRef]
  27. Lin, G.; Chen, C.Y.; Liu, F.Y.; Yang, L.Y.; Huang, H.J.; Huang, Y.T.; Jung, S.M.; Chou, H.H.; Lai, C.H.; Ng, K.K. Computed tomography, magnetic resonance imaging and FDG positron emission tomography in the management of vulvar malignancies. Eur. Radiol. 2015, 25, 1267–1278. [Google Scholar] [CrossRef]
  28. Rufini, V.; Garganese, G.; Ieria, F.P.; Pasciuto, T.; Fragomeni, S.M.; Gui, B.; Florit, A.; Inzani, F.; Zannoni, G.F.; Scambia, G.; et al. Diagnostic performance of preoperative [(18)F]FDG-PET/CT for lymph node staging in vulvar cancer: A large single-centre study. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 3303–3314. [Google Scholar] [CrossRef]
  29. Collarino, A.; Garganese, G.; Valdes Olmos, R.A.; Stefanelli, A.; Perotti, G.; Mirk, P.; Fragomeni, S.M.; Ieria, F.P.; Scambia, G.; Giordano, A.; et al. Evaluation of Dual-Timepoint (18)F-FDG PET/CT Imaging for Lymph Node Staging in Vulvar Cancer. J. Nucl. Med. 2017, 58, 1913–1918. [Google Scholar] [CrossRef]
  30. Dolanbay, M.; Ozcelik, B.; Abdulrezzak, U.; Serin, I.S.; Kutuk, M.S.; Uludag, S. F-18 fluoro-D-glucose (FDG)-positron emission tomography (PET)/computed tomography (CT) in planning of surgery and sentinel lymph node screening in vulvar cancers. Arch. Gynecol. Obstet. 2016, 293, 1319–1324. [Google Scholar] [CrossRef]
  31. Cohn, D.E.; Dehdashti, F.; Gibb, R.K.; Mutch, D.G.; Rader, J.S.; Siegel, B.A.; Herzog, T.J. Prospective evaluation of positron emission tomography for the detection of groin node metastases from vulvar cancer. Gynecol. Oncol. 2002, 85, 179–184. [Google Scholar] [CrossRef]
  32. Kamran, M.W.; O’Toole, F.; Meghen, K.; Wahab, A.N.; Saadeh, F.A.; Gleeson, N. Whole-body [18F]fluoro-2-deoxyglucose positron emission tomography scan as combined PET-CT staging prior to planned radical vulvectomy and inguinofemoral lymphadenectomy for squamous vulvar cancer: A correlation with groin node metastasis. Eur. J. Gynaecol. Oncol. 2014, 35, 230–235. [Google Scholar]
  33. Crivellaro, C.; Guglielmo, P.; De Ponti, E.; Elisei, F.; Guerra, L.; Magni, S.; La Manna, M.; Di Martino, G.; Landoni, C.; Buda, A. 18F-FDG PET/CT in preoperative staging of vulvar cancer patients: Is it really effective? Medicine 2017, 96, e7943. [Google Scholar] [CrossRef]
  34. Garganese, G.; Collarino, A.; Fragomeni, S.M.; Rufini, V.; Perotti, G.; Gentileschi, S.; Evangelista, M.T.; Ieria, F.P.; Zagaria, L.; Bove, S.; et al. Groin sentinel node biopsy and (18)F-FDG PET/CT-supported preoperative lymph node assessment in cN0 patients with vulvar cancer currently unfit for minimally invasive inguinal surgery: The GroSNaPET study. Eur. J. Surg. Oncol. 2017, 43, 1776–1783. [Google Scholar] [CrossRef]
  35. Robertson, N.L.; Hricak, H.; Sonoda, Y.; Sosa, R.E.; Benz, M.; Lyons, G.; Abu-Rustum, N.R.; Sala, E.; Vargas, H.A. The impact of FDG-PET/CT in the management of patients with vulvar and vaginal cancer. Gynecol. Oncol. 2016, 140, 420–424. [Google Scholar] [CrossRef]
  36. Triumbari, E.K.A.; de Koster, E.J.; Rufini, V.; Fragomeni, S.M.; Garganese, G.; Collarino, A. 18F-FDG PET and 18F-FDG PET/CT in Vulvar Cancer: A Systematic Review and Meta-analysis. Clin. Nucl. Med. 2021, 46, 125–132. [Google Scholar] [CrossRef]
  37. Oldan, J.D.; Sullivan, S.A. Positron emission tomography-computed tomography for inguinal nodes in vulvar cancer. World J. Nucl. Med. 2018, 17, 139–144. [Google Scholar] [CrossRef]
  38. Moskovic, E.C.; Shepherd, J.H.; Barton, D.P.; Trott, P.A.; Nasiri, N.; Thomas, J.M. The role of high resolution ultrasound with guided cytology of groin lymph nodes in the management of squamous cell carcinoma of the vulva: A pilot study. Br. J. Obstet. Gynaecol. 1999, 106, 863–867. [Google Scholar] [CrossRef]
  39. Abang Mohammed, D.K.; Uberoi, R.; Lopes, A.d.B.; Monaghan, J.M. Inguinal node status by ultrasound in vulva cancer. Gynecol. Oncol. 2000, 77, 93–96. [Google Scholar] [CrossRef]
  40. Hall, T.B.; Barton, D.P.; Trott, P.A.; Nasiri, N.; Shepherd, J.H.; Thomas, J.M.; Moskovic, E.C. The role of ultrasound-guided cytology of groin lymph nodes in the management of squamous cell carcinoma of the vulva: 5-year experience in 44 patients. Clin. Radiol. 2003, 58, 367–371. [Google Scholar] [CrossRef]
  41. de Gregorio, N.; Ebner, F.; Schwentner, L.; Friedl, T.W.; Deniz, M.; Lato, K.; Kreienberg, R.; Janni, W.; Varga, D. The role of preoperative ultrasound evaluation of inguinal lymph nodes in patients with vulvar malignancy. Gynecol. Oncol. 2013, 131, 113–117. [Google Scholar] [CrossRef]
  42. Garganese, G.; Fragomeni, S.M.; Pasciuto, T.; Leombroni, M.; Moro, F.; Evangelista, M.T.; Bove, S.; Gentileschi, S.; Tagliaferri, L.; Paris, I.; et al. Ultrasound morphometric and cytologic preoperative assessment of inguinal lymph-node status in women with vulvar cancer: MorphoNode study. Ultrasound Obstet. Gynecol. 2020, 55, 401–410. [Google Scholar] [CrossRef]
  43. Sykes, P.; Eva, L.; van der Griend, R.; McNally, O.; Blomfield, P.; Brand, A.; Tristram, A.; Bergzoll, C.; Petrich, S.; Kenwright, D.; et al. Pathological process has a crucial role in sentinel node biopsy for vulvar cancer. Gynecol. Oncol. 2019, 153, 292–296. [Google Scholar] [CrossRef]
  44. Verri, D.; Moro, F.; Fragomeni, S.M.; Zace, D.; Bove, S.; Pozzati, F.; Gui, B.; Scambia, G.; Testa, A.C.; Garganese, G. The Role of Ultrasound in the Evaluation of Inguinal Lymph Nodes in Patients with Vulvar Cancer: A Systematic Review and Meta-Analysis. Cancers 2022, 14, 3082. [Google Scholar] [CrossRef]
  45. Decesare, S.L.; Fiorica, J.V.; Roberts, W.S.; Reintgen, D.; Arango, H.; Hoffman, M.S.; Puleo, C.; Cavanagh, D. A pilot study utilizing intraoperative lymphoscintigraphy for identification of the sentinel lymph nodes in vulvar cancer. Gynecol. Oncol. 1997, 66, 425–428. [Google Scholar] [CrossRef]
  46. de Hullu, J.A.; Hollema, H.; Piers, D.A.; Verheijen, R.H.; van Diest, P.J.; Mourits, M.J.; Aalders, J.G.; van Der Zee, A.G. Sentinel lymph node procedure is highly accurate in squamous cell carcinoma of the vulva. J. Clin. Oncol. 2000, 18, 2811–2816. [Google Scholar] [CrossRef]
  47. De Cicco, C.; Sideri, M.; Bartolomei, M.; Grana, C.; Cremonesi, M.; Fiorenza, M.; Maggioni, A.; Bocciolone, L.; Mangioni, C.; Colombo, N.; et al. Sentinel node biopsy in early vulvar cancer. Br. J. Cancer 2000, 82, 295–299. [Google Scholar] [CrossRef]
  48. Sideri, M.; De Cicco, C.; Maggioni, A.; Colombo, N.; Bocciolone, L.; Trifiro, G.; De Nuzzo, M.; Mangioni, C.; Paganelli, G. Detection of sentinel nodes by lymphoscintigraphy and gamma probe guided surgery in vulvar neoplasia. Tumori 2000, 86, 359–363. [Google Scholar] [CrossRef]
  49. Molpus, K.L.; Kelley, M.C.; Johnson, J.E.; Martin, W.H.; Jones, H.W., 3rd. Sentinel lymph node detection and microstaging in vulvar carcinoma. J. Reprod. Med. 2001, 46, 863–869. [Google Scholar]
  50. Tavares, M.G.; Sapienza, M.T.; Galeb, N.A., Jr.; Belfort, F.A.; Costa, R.R.; Osorio, C.A.; Goes, J.C.; Endo, I.S.; Soares, J., Jr.; Lewin, S.; et al. The use of 99mTc-phytate for sentinel node mapping in melanoma, breast cancer and vulvar cancer: A study of 100 cases. Eur. J. Nucl. Med. 2001, 28, 1597–1604. [Google Scholar] [CrossRef]
  51. Boran, N.; Kayikcioglu, F.; Kir, M. Sentinel lymph node procedure in early vulvar cancer. Gynecol. Oncol. 2003, 90, 492–493. [Google Scholar] [CrossRef]
  52. Sliutz, G.; Reinthaller, A.; Lantzsch, T.; Mende, T.; Sinzinger, H.; Kainz, C.; Koelbl, H. Lymphatic mapping of sentinel nodes in early vulvar cancer. Gynecol. Oncol. 2002, 84, 449–452. [Google Scholar] [CrossRef]
  53. Moore, R.G.; DePasquale, S.E.; Steinhoff, M.M.; Gajewski, W.; Steller, M.; Noto, R.; Falkenberry, S. Sentinel node identification and the ability to detect metastatic tumor to inguinal lymph nodes in squamous cell cancer of the vulva. Gynecol. Oncol. 2003, 89, 475–479. [Google Scholar] [CrossRef]
  54. Puig-Tintore, L.M.; Ordi, J.; Vidal-Sicart, S.; Lejarcegui, J.A.; Torne, A.; Pahisa, J.; Iglesias, X. Further data on the usefulness of sentinel lymph node identification and ultrastaging in vulvar squamous cell carcinoma. Gynecol. Oncol. 2003, 88, 29–34. [Google Scholar] [CrossRef]
  55. Merisio, C.; Berretta, R.; Gualdi, M.; Pultrone, D.C.; Anfuso, S.; Agnese, G.; Aprile, C.; Mereu, L.; Salamano, S.; Tateo, S.; et al. Radioguided sentinel lymph node detection in vulvar cancer. Int. J. Gynecol. Cancer 2005, 15, 493–497. [Google Scholar] [CrossRef]
  56. Selman, T.J.; Luesley, D.M.; Acheson, N.; Khan, K.S.; Mann, C.H. A systematic review of the accuracy of diagnostic tests for inguinal lymph node status in vulvar cancer. Gynecol. Oncol. 2005, 99, 206–214. [Google Scholar] [CrossRef]
  57. Van der Zee, A.G.; Oonk, M.H.; De Hullu, J.A.; Ansink, A.C.; Vergote, I.; Verheijen, R.H.; Maggioni, A.; Gaarenstroom, K.N.; Baldwin, P.J.; Van Dorst, E.B.; et al. Sentinel node dissection is safe in the treatment of early-stage vulvar cancer. J. Clin. Oncol. 2008, 26, 884–889. [Google Scholar] [CrossRef]
  58. Prader, S.; du Bois, A.; Harter, P.; Breit, E.; Schneider, S.; Baert, T.; Heitz, F.; Traut, A.; Ehmann, S.; Pauly, N.; et al. Sentinel lymph node mapping with fluorescent and radioactive tracers in vulvar cancer patients. Arch. Gynecol. Obstet. 2020, 301, 729–736. [Google Scholar] [CrossRef]
  59. Koual, M.; Benoit, L.; Nguyen-Xuan, H.T.; Bentivegna, E.; Azais, H.; Bats, A.S. Diagnostic value of indocyanine green fluorescence guided sentinel lymph node biopsy in vulvar cancer: A systematic review. Gynecol. Oncol. 2021, 161, 436–441. [Google Scholar] [CrossRef]
  60. Pouwer, A.W.; Mus, R.; IntHout, J.; van der Zee, A.; Bulten, J.; Massuger, L.; de Hullu, J.A. The efficacy of ultrasound in the follow up after a negative sentinel lymph node in women with vulvar cancer: A prospective single-centre study. BJOG Int. J. Obstet. Gynaecol. 2018, 125, 1461–1468. [Google Scholar] [CrossRef]
  61. Albano, D.; Bonacina, M.; Savelli, G.; Ferro, P.; Busnardo, E.; Gianolli, L.; Camoni, L.; Giubbini, R.; Bertagna, F. Clinical and prognostic (18)F-FDG PET/CT role in recurrent vulvar cancer: A multicentric experience. Jpn. J. Radiol. 2022, 40, 66–74. [Google Scholar] [CrossRef]
  62. Fischerova, D.; Garganese, G.; Reina, H.; Fragomeni, S.M.; Cibula, D.; Nanka, O.; Rettenbacher, T.; Testa, A.C.; Epstein, E.; Guiggi, I.; et al. Terms, definitions and measurements to describe sonographic features of lymph nodes: Consensus opinion from the Vulvar International Tumor Analysis (VITA) group. Ultrasound Obstet. Gynecol. 2021, 57, 861–879. [Google Scholar] [CrossRef]
Table 1. FIGO 2021 staging for carcinoma of the vulva [6].
Table 1. FIGO 2021 staging for carcinoma of the vulva [6].
StageDescription
ITumour confined to the vulva
IATumour size ≤ 2 cm and stromal invasion ≤ 1 mm a
IBTumour size > 2 cm or stromal invasion > 1 mm a
IITumour of any size with extension to lower one-third of the urethra, lower one-third of the vagina, lower one-third of the anus with negative nodes
IIITumour of any size with extension to upper part of adjacent perineal structures, or with any number of non-fixed, non-ulcerated lymph node
IIIATumour of any size with disease extension to upper two-thirds of the urethra, upper two-thirds of the vagina, bladder mucosa, rectal mucosa, or regional lymph node metastases ≤ 5 mm
IIIBRegional b lymph node metastases > 5 mm
IIICRegional b lymph node metastases with extracapsular spread
IVTumour of any size fixed to the bone, or fixed, ulcerated lymph node metastases, or distant metastases
IVADisease fixed to pelvic bone, or fixed or ulcerated regional lymph node metastases
IVBDistant metastases
a Depth of invasion is measured from the basement membrane of the deepest, adjacent, dysplastic, tumour-free rete ridge (or nearest dysplastic rete peg) to the deepest point of invasion. b Regional refers to inguinal and femoral lymph nodes.
Table 2. Summary of studies evaluating the role of MRI in the detection of inguino-femoral lymph node metastases.
Table 2. Summary of studies evaluating the role of MRI in the detection of inguino-femoral lymph node metastases.
AuthorType of StudyYearNumber of PatientsDiagnostic CriteriaFindings
Sohaib et al. [11]Retrospective200222>10 mm short axis for superficial LNSensitivity 40%
Specificity 97%
>8 mm short axis for deep LNSensitivity 50%
Specificity 100%
Hawnaur et al. [18]Prospective200210One of the following: long axis diameter > 21 mm, short axis diameter > 10 mm, long/short axis ratio < 1.3:1, irregularity of contour, cystic changes within solid parts of an LNSensitivity 89%
Specificity 91%
Singh et al. [19]Retrospective200659Two of the following: short axis diameter 1 cm, irregular or rounded shape, increased signal intensity on STIR or heterogenous signal intensity on T2-WISensitivity 86%
Specificity 82%
Bipat et al. [20]Prospective200660Overall impression based on short axis diameter ≥8 mm, size in axial/sagittal and coronal plane, localisation, appearance, margin and shapeSensitivity 52%
Specificity 85%
PPV 46%
NPV 87%
Kataoka et al. [12]Retrospective201049Overall impression based on long and short axis diameter, contour, presence of cystic changes/necrosis, loss of fatty hilum, signal intensity similar to primary lesionSensitivity 88%
Specificity 86%
PPV 88%
NPV 86%
Sakae et al. [21]Retrospective201641Long axis > 10 mmSensitivity 88%
Specificity 71%
PPV 58%
NPV 92%
PPV: positive predictive value. NPV: negative predictive value.
Table 3. Summary of studies evaluating the role of CT-CAP in the detection of inguino-femoral lymph node metastases.
Table 3. Summary of studies evaluating the role of CT-CAP in the detection of inguino-femoral lymph node metastases.
AuthorType of StudyYearNumber of PatientsDiagnostic CriteriaFindings
Land et al. [22]Retrospective200644Long axis ≥ 10 mm, evidence of necrosis in an LN, or evidence of extranodal diseaseSensitivity 58%
Specificity 75%
PPV 58%
NPV 75%
Andersen et al. [23]Prospective201527Short axis > 10 mm and/or abnormal contrast enhancementSensitivity 60%
Specificity 90%
PPV 38%
NPV 96%
Pounds et al. [24]Prospective2020116Not specifiedSensitivity 59%
Specificity 78%
PPV 62%
NPV 76%
Bohlin et al. [25]Retrospective2021134Short axis > 10 mm, abnormal shape, attenuation or contrast enhancementSensitivity 43%
Specificity 96%
PPV 88%
NPV 73%
Table 5. Summary of studies evaluating the role of US and FNA cytology in the detection of inguino-femoral lymph node metastases.
Table 5. Summary of studies evaluating the role of US and FNA cytology in the detection of inguino-femoral lymph node metastases.
AuthorType of StudyYearNumber of PatientsDiagnostic CriteriaResults
Makela et al. [16]Prospective199325Nodal hypoechogenicity, absence of internal hilar echoes, greatest diameter > 1.5 cm, roundish shape, thickness ratio length > 1/2Sensitivity 82%
Specificity 87%
Moskovic et al. [38]Prospective199924LN with a more circular or irregular configuration and with loss of central hilar fatSensitivity 85%
Specificity 83%
FNA cytologySensitivity 58%
Specificity 100%
US combined with FNA cytologySensitivity 83%
Specificity 82%
Mohammed et al. [39]Prospective200020Short axis > 8 mmSensitivity 83%
Specificity 90%
PPV 63%,
NPV 97%
Long/short axis ratio ≤ 2Sensitivity 100%
Specificity 58%
PPV 38%
NPV 100%
Short axis > 8 mm AND L/S axis ratio ≤ 2Sensitivity 83%
Specificity 88%
PPV 63%
NPV 96%
Hall et al. [40]Prospective200344Grading based on size, shape (L/S ratio), preservation of an echogenic hilum, general attenuation and vascularity on DopplerSensitivity 86%
Specificity 96%
FNA cytologySensitivity 75%
Specificity 100%
Combined US + FNA cytologySensitivity 93%
Specificity 100%
Land et al. [22]Retrospective200644Circular or irregular configuration, loss of central hilar fat Sensitivity 87%
Specificity 69%
PPV 48%
NPV 94%
US features plus FNA cytology on the largest or most abnormal nodeSensitivity 80%
Specificity 100%
PPV 100%
NPV 93%
De Gregorio et al. [41]Retrospective201360Absence of fatty hilum, irregular shape, cortical region diameter ≥ 4 mm, peripheral vascularisationSensitivity 76%
Specificity 91%
PPV 83%
NPV 88%
Garganese et al. [42]Retrospective2020144Cortical thickness > 2.5 mmSensitivity 90%
Specificity 78%
PPV 59%
NPV 96%
Short axis > 8.5 mmSensitivity 64%
Specificity 91%
PPV 74%
NPV 86%
Cortex/medulla (C/M) ratio > 1.2Sensitivity 70%
Specificity 92%
PPV 73%
NPV 90%
Combination of short axis and C/M ratioSensitivity 89%
Specificity 82%
PPV 68%
NPV 95%
Final overall assessmentSensitivity 86%
Specificity 84%
PPV 73%
NPV 92%
Verri et al. [44]Systematic review and meta-analysis2022437As per individual studiesSensitivity 85%
Specificity 86%
PPV 65%
NPV 92%
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