The Incidence of Oncocytoma and Angiomyolipoma in Patients Undergoing Nephron-Sparing Surgery for Small Renal Masses
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Birnbacher, L.; Braunagel, M.; Willner, M.; Marschner, M.; De Marco, F.; Viermetz, M.; Auweter, S.; Notohamiprodjo, S.; Hellbach, K.; Notohamiprodjo, M.; et al. Quantitative differentiation of minimal-fat angiomyolipomas from renal cell carcinomas using grating-based X-ray phase-contrast computed tomography: An ex vivo study. PLoS ONE 2023, 18, e0279323. [Google Scholar] [CrossRef] [PubMed]
- Allgood, E.; Raman, S.S. Image Interpretation: Practical Triage of Benign from Malignant Renal Masses. Radiol. Clin. N. Am. 2020, 58, 875–884. [Google Scholar] [CrossRef] [PubMed]
- Kay, F.U.; Pedrosa, I. Imaging of Solid Renal Masses. Urol. Clin. N. Am. 2018, 45, 311–330. [Google Scholar] [CrossRef] [PubMed]
- Ljunberg, B.; Albiges, L.; Bedke, J.; Bex, A.; Capitanio, U.; Giles, R.; Hora, M.; Klatte, T.; Lam, T.; Marconi, L.; et al. Guidelines on Renal Cell Carcinoma. Available online: https://uroweb.org/guidelines/renal-cell-carcinoma (accessed on 21 January 2025).
- Lounová, V.; Študent, V., Jr.; Purová, D.; Hartmann, I.; Vidlář, A.; Študent, V. Frequency of benign tumors after partial nephrectomy and the association between malignant tumor findings and preoperative clinical parameters. BMC Urol. 2024, 24, 175. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Bauman, T.M.; Potretzke, A.M.; Wright, A.J.; Knight, B.A.; Vetter, J.M.; Figenshau, R.S. Partial Nephrectomy for Presumed Renal-Cell Carcinoma: Incidence, Predictors, and Perioperative Outcomes of Benign Lesions. J. Endourol. 2017, 31, 412–417. [Google Scholar] [CrossRef] [PubMed]
- Li, N.; Hu, Z.; Liu, Y.; Ding, J.; Han, P.; Jing, X.; Kan, Y. Dynamic contrast-enhanced ultrasound characteristics of renal tumors: VueBox™ quantitative analysis. Clin. Hemorheol. Microcirc. 2023, 85, 341–354. [Google Scholar] [CrossRef] [PubMed]
- Basile, G.; Fallara, G.; Verri, P.; Uleri, A.; Chiti, A.; Gianolli, L.; Pepe, G.; Tedde, A.; Algaba, F.; Territo, A.; et al. The role of 99mTc-Sestamibi single-photon Emission Computed Tomography/Computed Tomography in the diagnostic pathway for renal masses: A systematic review and Meta-analysis. Eur. Urol. 2024, 85, 63–71. [Google Scholar] [CrossRef] [PubMed]
- Richard, P.O.; Jewett, M.A.; Bhatt, J.R.; Kachura, J.R.; Evans, A.J.; Zlotta, A.R.; Finelli, A. Renal tumor biopsy for small renal masses: A single-center 13-year experience. Eur. Urol. Apr. 2015, 68, 1007–1013. [Google Scholar] [CrossRef] [PubMed]
- Halverson, S.J.; Kunju, L.P.; Bhalla, R.; Gadzinski, A.J.; Alderman, M.; Miller, D.C.; Wolf, J.S. Accuracy of determining small renal mass management with risk stratified biopsies: Confirmation by final pathology. J. Urol. 2013, 189, 441–446. [Google Scholar] [CrossRef] [PubMed]
- Fujii, Y.; Komai, Y.; Saito, K.; Iimura, Y.; Yonese, J.; Kawakami, S.; Fukui, I. Incidence of benign pathologic lesions at partial nephrectomy for presumed RCC renal masses: Japanese dual-center experience with 176 consecutive patients. Urol. Sep. 2008, 72, 598–602. [Google Scholar] [CrossRef] [PubMed]
- Jeon, H.G.; Lee, S.R.; Kim, K.H.; Oh, Y.T.; Cho, N.H.; Rha, K.H.; Yang, S.C.; Han, W.K. Benign lesions after partial nephrectomy for presumed renal cell carcinoma in masses 4 cm or less: Prevalence and predictors in korean patients. Urology 2010, 76, 574–579. [Google Scholar] [CrossRef] [PubMed]
- Kutikov, A.; Fossett, L.K.; Ramchandani, P.; Tomaszewski, J.E.; Siegelman, E.S.; Banner, M.P.; Van Arsdalen, K.N.; Wein, A.J.; Malkowicz, S.B. Incidence of benign pathologic findings at partial nephrectomy for solitary renal mass presumed to be renal cell carcinoma on preoperative imaging. Urology 2006, 68, 737–740. [Google Scholar] [CrossRef] [PubMed]
- Lindkvist Pedersen, C.; Winck-Flyvholm, L.; Dahl, C.; Azawi, N.H. High rate of benign histology in radiologically suspect renal lesions. Dan. Med. J. Oct. 2014, 61, A4932. [Google Scholar]
- McKiernan, J.; Yossepowitch, O.; Kattan, M.W.; Simmons, R.; Motzer, R.J.; Reuter, V.E.; Russo, P. Partial nephrectomy for renal cortical tumors: Pathologic findings and impact on outcome. Urology 2002, 60, 1003–1009. [Google Scholar] [CrossRef] [PubMed]
- Marszalek, M.; Ponholzer, A.; Brossner, C.; Wachter, J.; Maier, U.; Madersbacher, S. Elective open nephron-sparing surgery for renal masses: Single-center experience with 129 consecutive patients. Urol. Jul. 2004, 64, 38–42. [Google Scholar] [CrossRef] [PubMed]
- Capitanio, U.; Bensalah, K.; Bex, A.; Boorjian, S.A.; Bray, F.; Coleman, J.; Gore, J.L.; Sun, M.; Wood, C.; Russo, P. Epidemiology of Renal Cell Carcinoma. Eur. Urol. 2019, 75, 74–84. [Google Scholar] [CrossRef] [PubMed]
- Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2018. CA Cancer J. Clin. 2018, 68, 7–30. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, K.A.; Brito, J.; Hsiang, W.; Nolte, A.; Syed, J.S.; Suarez-Sarmiento, A.; Leapman, M.S.; Such, B. National trends and economic impact of surgical treatment for benign kidney tumors. Urol. Oncol. 2019, 37, 183-e9. [Google Scholar] [CrossRef] [PubMed]
- Kim, J.; Lee, J.S.; Jo, Y.; Han, W.K. Superiority of magnetic resonance imaging in small renal mass diagnosis where image reports mismatches between computed tomography and magnetic resonance imaging. Investig. Clin. Urol. 2023, 64, 148–153. [Google Scholar] [CrossRef] [PubMed]
- Chen, M.C.; Chang, Y.H.; Sheng, T.W.; Huang, L.K.; Kan, H.C.; Liu, C.Y.; Lin, P.H.; Yu, K.J.; Chuang, C.K.; Pang, S.T.; et al. Predicting Bleeding Related Events in Robotic-Assisted Partial Nephrectomy for Angiomyolipoma: Simplifying Risk Assessment with Tumor Diameter and Depth, A Retrospective Study. Ther. Clin. Risk Manag. 2024, 20, 883–892. [Google Scholar] [CrossRef] [PubMed]
- Sidoti Abate, M.A.; Menold, H.S.; Neuberger, M.; Kirchner, M.; Haney, C.M.; Nuhn, P.; Westhoff, N.; Honeck, P.; Michel, M.S.; Kriegmair, M.C.; et al. Quality-of-life outcomes of the ROBOtic-assisted versus Conventional Open Partial nephrectomy (ROBOCOP) II trial. BJU Int. 2024, 134, 434–441. [Google Scholar] [CrossRef] [PubMed]
- Lienert, A.R.; Nicol, D. Renal angiomyolipoma. BJU Int. 2012, 25, 7. [Google Scholar] [CrossRef] [PubMed]
- Jinzaki, M.; Silverman, S.G.; Akita, H.; Nagashima, Y.; Mikami, S.; Oya, M. Renal angiomyolipoma: A radiological classification and update on recent developments in diagnosis and management. Abdom Imaging 2014, 39, 588–604. [Google Scholar] [CrossRef] [PubMed]
- Snyder, M.E.; Bach, A.; Kattan, M.W.; Raj, G.V.; Reuter, V.E.; Russo, P. Incidence of benign lesions for clinically localized renal masses smaller than 7 cm in radiological diameter: Influence of sex. J. Urol. 2006, 176, 2391–2395. [Google Scholar] [CrossRef] [PubMed]
- Liu, J.; Homewood, D.; Rajarubendra, N.; Rashid, P.; Bolton, D.; Lawrentschuk, N. Common incidental urological lesions on computed tomography images: What to do with renal and adrenal computed tomography incidentalomas in a primary care setting. Aust. J. Gen. Pract. 2024, 53 (Suppl. 11), S47–S52. [Google Scholar] [CrossRef] [PubMed]
- Joshi, B.M.; Desai, P.; Dwivedi, G.; Ranjan, S.; Kumar, A. Living Donor Renal Transplant After Ex Vivo Partial Nephrectomy for Incidentally Detected Small Renal Mass: A Case Series. Exp. Clin. Transpl. 2025, 23, 116–119. [Google Scholar]
- Schachter, L.R.; Cookson, M.S.; Chang, S.S.; Smith, J.A.; Dietrich, M.S.; Jayaram, G.; Herrell, S.D. Second prize: Frequency of benign renal cortical tumors and histologic subtypes based on size in a contemporary series: What to tell our patients. J. Endourol. 2007, 21, 819–823. [Google Scholar] [CrossRef] [PubMed]
- Nicolau, C.; Antunes, N.; Paño, B.; Sebastia, C. Imaging Characterization of Renal Masses. Medicina 2021, 57, 51. [Google Scholar] [CrossRef] [PubMed]
- Flum, A.S.; Hamoui, N.; Said, M.A.; Yang, X.J.; Casalino, D.D.; McGuire, B.B.; Perry, K.T.; Nadler, R.B. Update on the Diagnosis and Management of Renal Angiomyolipoma. J. Urol. 2016, 195 Pt 1, 834–846. [Google Scholar] [CrossRef] [PubMed]
- Romero-Fernández, S.; García-Ramos, V.; García, V.; Ceballos, M.L. Postembolization syndrome in a patient with a giant renal angiomyolipoma: A case report. Radiol. Case Rep. 2024, 19, 6269–6273. [Google Scholar] [CrossRef] [PubMed]
- Mach, M.; Maciejewski, K.; Ostrowski, T.; Maciąg, R.; Sajdek, M.; Gałązka, Z. Endovascular Treatment of a Bilateral, Ruptured Angiomyolipoma in a Patient With Tuberous Sclerosis Complex. Cureus 2024, 16, e66200. [Google Scholar] [CrossRef] [PubMed]
- Zeid, M.; Sayedin, H.; Nabi, N.; Abdelrahman, M.; Jacob, P.T.; Alhadi, B.; Giri, S. Active Surveillance for Renal Angiomyolipoma Less Than 4 Centimeters: A Systematic Review of Cohort Studies. Cureus 2022, 14, e22678. [Google Scholar] [CrossRef] [PubMed]
- Troncoso, P.; Rojas, P.A.; Saavedra, Á. Masas renales pequeñas: Predictores de malignidad en una serie de 10 años [Small renal masses. Analysis of 152 cases]. Rev. Med. Chil. 2019, 147, 703–708. [Google Scholar] [CrossRef] [PubMed]
- Kan, H.C.; Lin, P.H.; Shao, I.H.; Cheng, S.C.; Fan, T.Y.; Chang, Y.H.; Huang, L.K.; Chu, Y.C.; Yu, K.J.; Chuang, C.K.; et al. Using deep learning to differentiate among histology renal tumor types in computed tomography scans. BMC Med. Imaging 2025, 25, 66. [Google Scholar] [CrossRef] [PubMed]
- Han, J.H.; Kim, B.W.; Kim, T.M.; Ko, J.Y.; Choi, S.J.; Kang, M.; Kim, S.Y.; Cho, J.Y.; Ku, J.H.; Kwak, C.; et al. Fully automated segmentation and classification of renal tumors on CT scans via machine learning. BMC Cancer 2025, 25, 173. [Google Scholar] [CrossRef] [PubMed]
- Uhlig, A.; Uhlig, J.; Leha, A.; Biggemann, L.; Bachanek, S.; Stöcklem, M.; Reichert, M.; Lotz, J.; Zeuschner, P.; Maßmann, A. Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting. Eur. Radiol. 2024, 34, 6254–6263. [Google Scholar] [CrossRef] [PubMed]
- Coy, H.; Hsieh, K.; Wu, W.; Nagarajan, M.B.; Young, J.R.; Douek, M.L.; Brown, M.S.; Scalzo, F.; Raman, S.S. Deep learning and radiomics: The utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT. Abdom. Radiol. 2019, 44, 2009–2020. [Google Scholar] [CrossRef] [PubMed]
- Feng, Z.; Rong, P.; Cao, P.; Zhou, Q.; Zhu, W.; Yan, Z.; Liu, Q.; Wang, W. Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma. Eur. Radiol. 2018, 28, 1625–1633. [Google Scholar] [CrossRef] [PubMed]
- Lee, H.; Hong, H.; Kim, J.; Jung, D.C. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation. Med. Phys. 2018, 45, 1550–1561. [Google Scholar] [CrossRef] [PubMed]
- Ray, S.; Cheaib, J.G.; Pierorazio, P.M. Active Surveillance for Small Renal Masses. Rev. Urol. 2020, 22, 9–16. [Google Scholar] [PubMed]
- Pallauf, M.; Rezaee, M.; Elias, R.; Wlajnitz, T.; Fletcher, S.A.; Cheaib, J.; Alkhatib, K.; Chang, P.; Wagner, A.A.; McKiernan, J.M.; et al. Tumour size is associated with growth rates of >0.5 cm/year and delayed intervention in small renal masses in patients on active surveillance. BJU Int. 2025, 135, 860–868. [Google Scholar] [CrossRef] [PubMed]
- Alam, R.; Yerrapragada, A.; Wlajnitz, T.; Watts, E.; Pallauf, M.; Enikeev, D.; Chang, P.; Wagner, A.A.; McKiernan, J.M.; Pierorazio, P.M.; et al. Evaluation of Growth Rates for Small Renal Masses in Elderly Patients Undergoing Active Surveillance. Eur. Urol. Open Sci. 2023, 50, 78–84. [Google Scholar] [CrossRef] [PubMed]
- Metcalf, M.R.; Cheaib, J.G.; Biles, M.J.; Patel, H.D.; Peña, V.N.; Chang, P.; Wagner, A.A.; McKiernan, J.M.; Pierorazio, P.M. Outcomes of Active Surveillance for Young Patients with Small Renal Masses: Prospective Data from the DISSRM Registry. J. Urol. 2021, 205, 1286–1293. [Google Scholar] [CrossRef] [PubMed]
- Guo, P.; Wang, H.; Wang, Z.; Xu, T.; Li, J.; Xu, Y.; Ding, D.; Li, C.; Teng, L.; Chen, H.; et al. Robot-assisted partial nephrectomy and robot-assisted radical prostatectomy using the Chinese surgical systems KangDuo-SR-2000 and EDGE MP1000 versus the Da Vinci Xi system: A prospective, single-center, non-randomized clinical trial. World J. Urol. 2025, 43, 205. [Google Scholar] [CrossRef] [PubMed]
- Banno, T.; Kobari, Y.; Fukuda, H.; Yoshida, K.; Hirai, T.; Omoto, K.; Iizuka, J.; Shimizu, T.; Ishida, H.; Takagi, T. Comparing surgical outcomes between robot-assisted laparoscopic and open partial nephrectomy for allograft kidney tumors: A retrospective, single-center study. BMC Surg. 2025, 25, 103. [Google Scholar] [CrossRef]
- Thiravit, S.; Teerasamit, W.; Thiravit, P. The different faces of renal angiomyolipomas on radiologic imaging: A pictorial review. Br. J. Radiol. 2018, 91, 20170533. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Furrer, M.A.; Spycher, S.C.J.; Büttiker, S.M.; Gross, T.; Bosshard, P.; Thalmann, G.N.; Schneider, M.P.; Roth, B. Comparison of the diagnostic performance of contrast-enhanced Ultrasound with that of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging in the evaluation of renal masses: A systematic review and Meta-analysis. Eur. Urol. Oncol. 2020, 3, 464–473. [Google Scholar] [CrossRef] [PubMed]
All Patients (n = 30) | Oncocytoma (n = 18) | AML (n = 12) | p Value | |
---|---|---|---|---|
Surgery type (%) Open Robotic | 5 (16.7%) 25 (83.3%) | 2 (11.1%) 16 (88.9%) | 3 (25%) 9 (75%) | 0.32 |
Age (mean, years) | 58.6 ± 11.1 | 64.4 ± 8.5 | 49.92 ± 8.78 | <0.001 |
Gender (%) Male Female | 9 (30%) 21 (70%) | 8 (44.4%) 10 (55.6%) | 1 (8.3%) 11 (91.7%) | 0.02 |
Nephrectomy side Left Right | 17 (56.7%) 13 (43.3%) | 11 (61.1%) 7 (38.9%) | 6 (50%) 6 (50%) | 0.55 |
Baseline serum creatinine (mean, mg/dL) | 0.80 ± 0.10 | 0.86 ± 0.08 | 0.71 ± 0.11 | 0.002 |
Serum creatinine at last follow-up | 0.83 ± 0.12 | 0.87 ± 0.10 | 0.77 ± 0.11 | 0.01 |
eGFR at baseline (mean, mL/min/1.73 m2) | 91.32 ± 10.35 | 85.42 ± 14.50 | 100.17 ± 8.32 | 0.003 |
eGFR at last follow-up (mean, mL/min/1.73 m2) | 87.33 ± 17.20 | 82.93 ± 18.25 | 93.92 ± 10.05 | 0.06 |
R.E.N.A.L. n (%) Low (4–6) Intermediate (7–9) | 17 (56.7%) 13 (43.3%) | 10 (55.6%) 8 (44.4%) | 7 (58.3%) 5 (41.7%) | 0.88 |
HTA | 13 (43.3%) | 11 (61.1%) | 2 (16.7%) | 0.01 |
Diabetes | 3 (10%) | 3 (16.7%) | 0 (0%) | 0.14 |
Obesity | 5 (16.7%) | 3 (16.7%) | 2 (16.7%) | 1 |
Variable | Oncocytoma (n = 18) | AML (n = 12) | ||||
---|---|---|---|---|---|---|
Surgery Type | Open (n = 2) | Robotic (n = 16) | p Value | Open (n = 3) | Robotic (n = 9) | p Value |
Tumor Dimension (cm, mean) | 3.17 ± 0.41 | 2.82 ± 0.23 | 0.07 | 3.30 ± 0.78 | 2.55 ± 0.43 | 0.06 |
RENAL Score | Low/Intermediate | Low/Intermediate | Low/Intermediate/High | Low/Intermediate | ||
Charlson comorbidity index | 5.5 ± 1.0 | 4.2 ± 1.0 | 0.10 | 3.5 ± 0.8 | 2.56 ± 0.8 | 0.10 |
Hospital Stay (days, mean) | 6 ± 2 | 5 ± 1 | 0.23 | 5 ± 2 | 4.7 ± 1 | 0.72 |
Blood Loss (mL, median) | 150.5 (50–250) | 90.88 (50–200) | 0.01 | 287.75 (50–550) | 77.89 (50–150) | <0.001 |
Transfusions | 0 (0%) | 0 (0%) | - | 2 (66.7%) | 0 (0%) | 0.01 |
Complications | 1 (50%) | 2 (12.5%) | 0.19 | 1 (33.3%) | 0 (0%) | 0.08 |
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Ianiotescu, S.; Gingu, C.; Balescu, I.; Bacalbasa, N.; Balalau, C.; Sinescu, I. The Incidence of Oncocytoma and Angiomyolipoma in Patients Undergoing Nephron-Sparing Surgery for Small Renal Masses. J. Mind Med. Sci. 2025, 12, 38. https://doi.org/10.3390/jmms12020038
Ianiotescu S, Gingu C, Balescu I, Bacalbasa N, Balalau C, Sinescu I. The Incidence of Oncocytoma and Angiomyolipoma in Patients Undergoing Nephron-Sparing Surgery for Small Renal Masses. Journal of Mind and Medical Sciences. 2025; 12(2):38. https://doi.org/10.3390/jmms12020038
Chicago/Turabian StyleIaniotescu, Stelian, Constantin Gingu, Irina Balescu, Nicolae Bacalbasa, Cristian Balalau, and Ioanel Sinescu. 2025. "The Incidence of Oncocytoma and Angiomyolipoma in Patients Undergoing Nephron-Sparing Surgery for Small Renal Masses" Journal of Mind and Medical Sciences 12, no. 2: 38. https://doi.org/10.3390/jmms12020038
APA StyleIaniotescu, S., Gingu, C., Balescu, I., Bacalbasa, N., Balalau, C., & Sinescu, I. (2025). The Incidence of Oncocytoma and Angiomyolipoma in Patients Undergoing Nephron-Sparing Surgery for Small Renal Masses. Journal of Mind and Medical Sciences, 12(2), 38. https://doi.org/10.3390/jmms12020038