Search Results (809)

Background and Objectives: Breast cancer is a leading cause of cancer-related mortality, particularly in aggressive subtypes such as HER2-positive and triple-negative breast cancer (TNBC). Achieving a pathological complete response (pCR) after neoadjuvant therapy is strongly associated with improved survival outcomes in these subgroups, making the prediction of pCR a clinical priority. Sarcopenia, a progressive loss of skeletal muscle mass and strength, is increasingly recognized in cancer patients and has been linked to chemotherapy toxicity and poorer survival. However, its specific impact on pCR in HER2-positive and TNBC patients remains unclear. This study aimed to evaluate the association between radiologically defined sarcopenia, or a low skeletal muscle index (SMI), and pathological response in these subtypes, and to explore its potential as a predictive biomarker. Materials and Methods: This retrospective study included patients with HER2-positive or TNBC who received neoadjuvant therapy between January 2015 and October 2023. SMI was assessed using pre-treatment positron emission tomography images at the L3 vertebral level, with values < 38.5 cm²/m² considered as low. Univariate and multivariate logistic regression analyses were performed to identify factors associated with pCR. Results: A total of 85 patients were included, with low SMI present in 35 (41.2%). In univariate analysis, clinical stage and low SMI were associated with pCR. However, in the multivariate model, only low SMI remained an independent predictor. Patients without low SMI had higher odds of achieving pCR (odds ratio [OR] 4.13; 95% confidence interval [CI] 1.55–10.95; p = 0.004). Low SMI was also associated with higher rates of treatment-related toxicity (42.9% vs. 20.0%, p = 0.023). Conclusions: Pre-treatment low SMI is strongly associated with lower pCR rates in patients with HER2-positive and TNBC undergoing neoadjuvant therapy. These findings underscore the importance of early identification and management of radiologically defined sarcopenia to optimize treatment response and improve clinical outcomes. Full article

Skin cancer is the most common cancer form worldwide, and it is primarily divided into melanoma and non-melanoma types, with non-melanoma being the most prevalent condition. Cutaneous squamous cell carcinoma (cSCC) accounts for 50% of primary skin cancers and is characterized by uncontrolled keratinocyte proliferation. cSCC’s current standard treatment is surgical resection and chemotherapy. Unfortunately, these methods often lead to disfigurement, functional morbiditly, and compromised function. In contrast to immunotherapy, emerging scenarios have shown promising results, especially in neoadjuvant settings. Cemiplimab (Libtayo^®; Regeneron, Tarrytown, NY, USA), a PD-1 monoclonal antibody, has shown efficacy in treating advanced or metastatic cSCC, and its use as a neoadjuvant therapy has been recently explored. This review aims to evaluate Cemiplimab in the neoadjuvant setting for cSCC treatment. The Methodology followed PRISMA guidelines, this review analyzed studies on Cemiplimab as a neoadjuvant therapy for cSCC that were sourced from PubMed, Web of Science, and Scopus. Only controlled trials, cohort studies, case series, and systematic reviews were included. From 341 records, 21 studies were included, and six clinical trials provided key data about neoadjuvant Cemiplimab’s response rates, efficacy, adverse effects, and safety considerations. The targeted data revealed a neoadjuvant Cemiplimab mean pathologic response rate of 72%, with a 62% objective response rate. Treatment-related adverse events (TRAEs) affect 66% of patients, though most cases are not severe. The most common include fatigue, maculopapular rash, and diarrhea. The studies showed high rates of complete pathological responses (cPRs) and major pathological responses (mPRs), suggesting a strong therapeutic potential. Neoadjuvant Cemiplimab for cSCC therapy shows high response rates, low recurrence, improved survival, and manageable side effects. The current literature indicates that Cemiplimab may also be effective when used in immunosuppressed patients. Despite more research still being needed to confirm its long-term benefits and the effects of the drug’s use outside of clinical trials, there is strong evidence to consider neoadjuvant Cemiplimab as a promising and efficient treatment. Full article

Introduction/Background: Patients with locally advanced rectal cancer (LARC) with pathological complete response (pCR) after neoadjuvant chemo-radiotherapy (NCRT) are a privileged group because of the favorable progression of their disease. However, their follow-up patterns after surgery are similar to those of other groups with worse prognosis, with the consequent psychological and economic impact. Methods: This is a retrospective observational multicenter study with data obtained from the Spanish Rectal Cancer Project. Patients with LARC who underwent surgery with curative intent after NCRT and achieved pCR were selected. The last follow-up update was conducted in December 2021. A conditional survival model was used to analyze oncological outcomes during follow-up. Recurrence-free survival (RFS) was analyzed for the entire cohort of patients and for those who survived at one, two, and three years. Results: A total of 815 patients from 32 hospitals were included. Their mean age was 65.1 years, and 36.1% of them were women. Of the 815 patients, 35 died or experienced recurrence (local or systemic) in the first postoperative year, and 780 were included in the conditional survival analysis one year after surgery. The probability of RFS at 5 years was 86.5% in the whole cohort and 89.4%, 92.9%, and 95.2% for survivors at one, two, and three years, respectively. The probability of recurrence in these same groups was 6.5%, 4.3%, 1.8%, and 0.6%. Conclusions: Follow-up of patients with LARC and pCR after NCRT followed by surgery could be adapted based on conditional survival data showing that the probability of RFS increases as patients remain recurrence-free, and recurrences more than 3 years after treatment are exceptional. Full article

(1) Background: Response to neoadjuvant chemotherapy (NAC) is a key prognostic indicator in breast cancer. However, current response evaluation methods rely on histopathological assessment after surgery, delaying opportunities for early treatment adaptation. This study aimed to develop a machine learning model by integrating radiomic features extracted from pre-treatment, contrast-enhanced computed tomography (CT) images with baseline clinical variables to predict NAC response before therapy initiation. (2) Methods: The study investigated two categories of response: (i) pathologic complete response (pCR) versus non-pCR, and (ii) clinical response versus non-response, where clinical response was defined as a reduction in tumor size of at least 30%, encompassing both complete and partial responses. Radiomic features (n = 214) were extracted from intratumoral and peritumoral regions of pre-treatment CT images. Clinical variables (n = 7) were also incorporated to enhance predictive capability. A predictive model was developed using XGBoost algorithm, and performance was evaluated across ten independent data partitions using metrics including accuracy, precision, sensitivity, specificity, F1-score, and AUC. (3) Results: A total of 177 patients were enrolled in the study. The combined clinical-radiomic model set exhibited superior predictive performance compared to models based solely on either radiomic or clinical features. For pCR classification, integrating clinical and radiomic features produced the strongest model, achieving 82.8% accuracy with an AUC of 0.846. The clinical model alone reached 71.4% accuracy and an AUC of 0.797, while the radiomic model achieved 67.5% accuracy and an AUC of 0.615. For clinical response classification, the combined model again outperformed the individual models, achieving 71.7% accuracy with an AUC of 0.725, compared with 65.0% accuracy and an AUC of 0.666 for the clinical model, and 65.6% accuracy with an AUC of 0.615 for the radiomic model. (4) Conclusions: These results demonstrate that integrating CT radiomic features with clinical information enhances the prediction of NAC response, supporting the potential for earlier and more personalized therapeutic decision-making in breast cancer management. Full article

Background: Muscle-invasive bladder cancer (MIBC) is associated with high recurrence and mortality rates. While cisplatin-based neoadjuvant chemotherapy followed by radical cystectomy remains the standard of care, many patients are ineligible for cisplatin. Recent advances in immunotherapy and biomarker research are reshaping perioperative strategies, aiming to personalize treatment and improve outcomes. Methods: We conducted a comprehensive narrative review of the recent literature and clinical trials on the perioperative treatment of MIBC. We focused on published phase II and III trials assessing neoadjuvant and adjuvant strategies, including immunotherapy, antibody-drug conjugates (ADCs), combination regimens, and circulating tumor DNA (ctDNA)-based approaches. Results: Numerous trials (e.g., PURE-01, ABACUS, NABUCCO, AURA, NIAGARA) have demonstrated the feasibility and efficacy of immune checkpoint inhibitors (ICIs) in both cisplatin-eligible and -ineligible populations. Combination strategies, including ICIs plus chemotherapy or ADCs, have shown promising pathological complete response rates and event-free survival. In the adjuvant setting, nivolumab improved disease-free survival and received regulatory approval. Biomarkers such as PD-L1 and ctDNA are emerging tools for predicting treatment response and recurrence risk, although prospective validation is ongoing. Conclusions: The treatment paradigm for MIBC is shifting toward multimodal and biomarker-driven approaches. Integration of ICIs into perioperative management, especially in combination with chemotherapy or ADCs, may enhance outcomes. ctDNA shows potential as a predictive and prognostic biomarker, guiding therapeutic decisions and surveillance. Future research should focus on refining patient selection, optimizing treatment sequencing, and validating ctDNA-guided strategies to personalize care while minimizing overtreatment. Full article

Background/Objectives: Chronic hepatitis C virus (HCV) infection is associated with a wide spectrum of extrahepatic manifestations, involving the immune, dermatologic, endocrine, vascular, and neuropsychiatric systems. Among these, mixed cryoglobulinemic vasculitis (CryoVas) remains one of the most clinically relevant complications. This work aims to provide a structured overview of HCV-related extrahepatic conditions and to analyze the clinical and virological outcomes of direct-acting antivirals (DAAs) in CryoVas patients. Methods: We first categorized and reviewed extrahepatic manifestations of HCV across five major domains: immune, inflammatory/metabolic/vascular, dermatological, thyroid, and neuropsychiatric. Subsequently, we conducted a comparative analysis of five clinical studies evaluating the impact of DAA therapy in patients with CryoVas. Data on demographics, clinical symptoms, treatment regimens, sustained virological response, and clinical response were extracted and summarized. Results: HCV was found to be associated with numerous extrahepatic conditions, including mixed cryoglobulinemia, non-Hodgkin lymphoma, autoimmune thyroiditis, insulin resistance, and neurocognitive symptoms. In the CryoVas subgroup analysis, virological response rates were uniformly high (88.9–100%), but clinical remission varied significantly. Complete response ranged from 39% to 90%, highlighting a discrepancy between viral eradication and extrahepatic symptom resolution. These findings underscore the need for individualized follow-up and further investigation into persistent immunological dysfunction post-sustained virological response (SVR). However, clinical outcomes were more variable: complete response (CR) varied between 39% and 90%, partial response (PR) ranged from 4% to 42%, and no response (NR) was reported in 0% to 40% of cases. Although significant improvement in key manifestations such as purpura, arthralgia, and neuropathy was frequently observed, a subset of patients continued to exhibit residual or refractory symptoms despite achieving SVR. Conclusions: HCV infection exerts multisystemic effects that extend beyond liver pathology. While DAAs offer near-universal virological clearance, the heterogeneous clinical response in CryoVas underscores the need for closer monitoring of extrahepatic outcomes. Future research should assess whether combining DAAs with immunomodulatory strategies can improve symptom control and long-term outcomes in patients with severe or refractory CryoVas. Full article

Dose-dense chemotherapy shortens the interval between chemotherapy cycles and has shown improved outcomes in high-risk breast cancer patients. We retrospectively evaluated the efficacy and safety of dose-dense chemotherapy in 80 breast cancer patients treated at our hospital from 2020 to 2024. The regimen included epirubicin and cyclophosphamide followed by paclitaxel or docetaxel, with pegfilgrastim support. The overall treatment completion rate was 82.5%. Of the 80 patients, 55 underwent neoadjuvant chemotherapy, and the pathological complete response rate was significantly higher in triple-negative breast cancer (59.1%) compared to that in luminal-type cancer (9.1%). Common adverse events included anemia, liver dysfunction, myalgia, and peripheral neuropathy. Febrile neutropenia occurred in 8.8% of patients, with some cases linked to pegfilgrastim body pod use, particularly in individuals with low subcutaneous fat. Notably, two patients developed pneumocystis pneumonia, potentially associated with steroid administration. Despite these toxicities, most were manageable and resolved after treatment. Our findings support the efficacy of dose-dense chemotherapy, particularly in triple-negative breast cancer, while highlighting the importance of individualized supportive care and vigilance regarding hematologic and infectious complications. Full article

Background/Objectives: Myelofibrosis (MF) is a myeloproliferative neoplasm characterized by the replacement of healthy bone marrow (BM) with malignant and fibrotic tissue. In a healthy state, bone marrow is composed of approximately 60–70% fat cells, which are replaced as disease progresses. Proton density fat fraction (PDFF), a non-invasive and quantitative MRI metric, enables analysis of BM architecture by measuring the percentage of fat versus cells in the environment. Our objective is to investigate variance in quantitative PDFF-MRI values over time as a marker of disease progression and response to treatment. Methods: We analyzed existing data from three cohorts of mice: two groups with MF that failed to respond to therapy with approved drugs for MF (ruxolitinib, fedratinib), investigational compounds (navitoclax, balixafortide), or vehicle and monitored over time by MRI; the third group consisted of healthy controls imaged at a single time point. Using in-house MATLAB programs, we performed a voxel-wise analysis of PDFF values in lower extremity bone marrow, specifically comparing the variance of each voxel within and among mice. Results: Our findings revealed a significant difference in PDFF values between healthy and diseased BM. With progressive disease non-responsive to therapy, the expansion of hematopoietic cells in BM nearly completely replaced normal fat, as determined by a markedly reduced PDFF and notable reduction in the variance in PDFF values in bone marrow over time. Conclusions: This study validated our hypothesis that the variance in PDFF in BM decreases with disease progression, indicating pathologic expansion of hematopoietic cells. We can conclude that disease progression can be tracked by a decrease in PDFF values. Analyzing variance in PDFF may improve the assessment of disease progression in pre-clinical models and ultimately patients with MF. Full article

Background and Clinical Significance: Radial nerve palsy typically presents as wrist drop due to nerve compression, with conventional management often yielding prolonged recovery. We report a case where ultrasound-guided hydrodissection (HD) with 5% dextrose in water (D5W) achieved immediate functional restoration, suggesting neurapraxia as the underlying pathology. Case Presentation: A 54-year-old diabetic female presented with acute left wrist drop without trauma. Examination confirmed radial nerve palsy (MRC grade 0 wrist extension), while radiographs ruled out structural causes. Ultrasound revealed fascicular swelling at the spiral groove. Under real-time guidance, 50 mL D5W (no local anesthetic) was injected to hydrodissect the radial nerve. Immediate post-procedure assessment showed restored wrist extension (medical research council (MRC) grade 4+). At one- and three-month follow-ups, the patient maintained complete resolution of symptoms and normal function. Conclusions: This case highlights two key findings: (1) HD with D5W can serve as both a diagnostic tool (confirming reversible neurapraxia through immediate response) and therapeutic intervention, and (2) early HD may circumvent prolonged disability associated with conservative management. The absence of electrodiagnostic studies limits objective severity assessment, though ultrasound localized the lesion. While promising, these observations require validation through controlled trials comparing HD to standard care, particularly in diabetic patients with heightened compression susceptibility. Technical considerations—including optimal injectate volume and the role of adjuvant therapies—warrant further investigation. US-guided HD with D5W emerges as a minimally invasive, surgery-sparing option for acute compressive radial neuropathies, with potential to redefine treatment paradigms when applied at symptom onset. Full article

Background: Pathological complete response (pCR) serves as a prognostic surrogate endpoint for long-term clinical outcomes in breast cancer patients receiving neoadjuvant systemic therapy (NAST). This study aims to develop and evaluate machine learning-based biomarkers for predicting pCR and recurrence-free survival (RFS). Methods: This retrospective monocentric study included 235 women (mean age 46 ± 11 years) with non-metastatic breast cancer treated with NAST. We developed various machine learning models using clinical features (age, genetic mutations, TNM stage, hormonal receptor expression, HER2 status, and histological grade), along with morphological features (size, T2 signal, and surrounding edema) and radiomics data extracted from pre-treatment MRI. Patients were divided into training and test groups with different MRI models. A customized machine learning pipeline was implemented to handle these diverse data types, consisting of feature selection and classification components. Results: The models demonstrated superior prediction ability using radiomics features, with the best model achieving an AUC of 0.72. Subgroup analysis revealed optimal performance in triple-negative breast cancer (AUC of 0.80) and HER2-positive subgroups (AUC of 0.65). Conclusion: Machine learning models incorporating clinical, qualitative, and radiomics data from pre-treatment MRI can effectively predict pCR in breast cancer patients receiving NAST, particularly among triple-negative and HER2-positive breast cancer subgroups. Full article

Background and Objectives: The COVID-19 pandemic disrupted cancer care, prompting adaptations to reduce patient exposure while preserving treatment efficacy. This retrospective observational study compared a weekly cisplatin and 5-fluorouracil (5-FU) regimen to the standard monthly regimen for neoadjuvant chemoradiotherapy in patients with locally advanced esophageal squamous cell carcinoma. Materials and Methods: This single-center retrospective study included 91 patients, divided into two cohorts: weekly chemotherapy (n = 30) and standard chemotherapy (n = 61). Treatment assignment was based on hospital policy changes during the pandemic, with weekly outpatient chemotherapy implemented after November 2022 to conserve inpatient resources. All patients received radiotherapy at 50 Gy in 25 fractions. The weekly regimen consisted of cisplatin 20 mg/m² and 5-FU 800 mg/m², administered over 1–2 h weekly, while the standard regimen administered the same doses over four consecutive days on weeks 1 and 5. Primary endpoints were pathologic complete response (pCR), progression-free survival (PFS), and overall survival (OS). Results: The response rates were similar between groups (weekly: 86.7% vs. standard: 90.2%; p = 0.724). The weekly regimen group showed a higher pCR (40.0% vs. 26.2%; p = 0.181) and significantly lower recurrence (26.7% vs. 52.5%; p = 0.020). Mortality was also reduced in the weekly group (6.7% vs. 34.4%; p = 0.004), though the follow-up duration was shorter (10.6 vs. 22.8 months; p < 0.001). Conclusions: In this retrospective observational study, weekly cisplatin and 5-FU demonstrated comparable efficacy to the standard regimen, with potential advantages in reducing recurrence and mortality. This modified approach may be a viable alternative for maintaining oncologic outcomes while minimizing the burden on healthcare systems during pandemic conditions, although prospective validation is needed. Full article

Triple-negative breast cancer (TNBC) remains a major clinical challenge due to its aggressive behavior and lack of targeted therapies. Accurate early prediction of response to neoadjuvant chemotherapy (NACT) is essential for guiding personalized treatment strategies and improving patient outcomes. In this study, we present an attention-based multiple instance learning (MIL) framework designed to predict pathologic complete response (pCR) directly from pre-treatment hematoxylin and eosin (H&E)-stained biopsy slides. The model was trained on a retrospective in-house cohort of 174 TNBC patients and externally validated on an independent cohort (n = 30). It achieved a mean area under the curve (AUC) of 0.85 during five-fold cross-validation and 0.78 on external testing, demonstrating robust predictive performance and generalizability. To enhance model interpretability, attention maps were spatially co-registered with multiplex immunohistochemistry (mIHC) data stained for PD-L1, CD8+ T cells, and CD163+ macrophages. The attention regions exhibited moderate spatial overlap with immune-enriched areas, with mean Intersection over Union (IoU) scores of 0.47 for PD-L1, 0.45 for CD8+ T cells, and 0.46 for CD163+ macrophages. The presence of these biomarkers in high-attention regions supports their biological relevance to NACT response in TNBC. This not only improves model interpretability but may also inform future efforts to identify clinically actionable histological biomarkers directly from H&E-stained biopsy slides, further supporting the utility of this approach for accurate NACT response prediction and advancing precision oncology in TNBC. Full article

Background: Total neoadjuvant therapy (TNT) has emerged as a promising strategy for locally advanced rectal cancer (LARC). By administering both chemoradiotherapy (CRT) and systemic chemotherapy (CHT) pre-surgery, TNT is associated with improved disease-free survival (DFS), reduced distant metastases, and higher pathological complete response (pCR) rates. Materials and Methods: This study included patients with LARC who received various TNT schedules: induction chemotherapy (iCHT), consolidation chemotherapy (cCHT), or a combination of both (sandwichCHT). We analyzed treatment adherence, toxicity, and pathological response. Local and distant disease recurrence, as well as survival outcomes, were also evaluated. Results: Between May 2021 and January 2025, 70 patients received TNT. Treatment included iCHT (41%), sandwichCHT (49%), and cCHT (10%). Most patients (94%) received long-course radiotherapy (LCRT). Overall, TNT was well tolerated, with grade 2 gastrointestinal toxicity during CRT being the most common frequent adverse event (33%). Disease progression during TNT was noted in five patients (7%); three of these patients were receiving chemotherapy, while two underwent surgical resection of the primary tumor. A watch-and-wait strategy was adopted for five patients (7%) following TNT. Surgical procedures performed included anterior resection (92%), abdominoperineal resection (7%), and local excision (1%). Pathological assessment revealed an overall pCR rate of 30%. With a median follow-up of 17 months, no patients experienced local recurrence. Post-surgery, 10 patients (17%) developed disease progression. The median DFS was 14.7 months. Five patients (7%) died during the follow-up period, with only one death attributed to causes other than disease progression. Conclusions: In this cohort of LARC patients, TNT demonstrated favorable tolerability and encouraging short-term efficacy. Full article

Background and Objectives: The Hippo pathway, via Yes-associated protein 1 (YAP1), regulates cell proliferation, apoptosis, and tissue regeneration. Aberrant YAP1 activation is linked to tumor progression and immune evasion in various cancers, including breast carcinoma, despite conflicting evidence on its prognostic value. Preclinical studies have explored drugs targeting YAP1–TEAD interactions, but therapeutic application is limited. Materials and Methods: This study included 50 patients with locally advanced breast cancer, who were assessed by a multidisciplinary tumor board and underwent neoadjuvant treatment per tumor subtype and clinical guidelines. Eligibility required both pre-treatment core biopsy and post-treatment surgical resection samples. Due to the absence of residual tumor in some patients achieving complete pathological response, post-treatment tissue was available and analyzable in 30 patients. YAP1 expression was evaluated immunohistochemically for nuclear and cytoplasmic staining patterns. ROC analysis identified a cutoff for YAP1 expression, defining tumors with ≥70% nuclear and ≥80% cytoplasmic staining. Results: YAP1 expression had a significant relationship with tumor subtype (p = 0.001), being most frequent in HER-2-positive tumors (55.6%) and least frequent in luminal tumors (11.1%). YAP1 positivity significantly predicted axillary pathological complete response (pCR) (p = 0.01). In YAP1-positive patients, 77.8% achieved axillary pCR compared to 31.7% in YAP1-negative patients, though the YAP1 status and breast pCR association were insignificant (p = 0.07). The Mann–Whitney U test indicated that higher Ki-67 values were significantly associated with positive YAP1 expression (p = 0.028). In contrast, there was no association between ER, PR status, age, and tumor size. Following treatment, there was a statistically significant change in YAP1 expression, with nuclear staining decreasing (p = 0.004) while cytoplasmic staining increased (p = 0.002). YAP1 was significantly linked to axillary pCR, HER-2 status, and Ki-67. Conclusions: Post treatment, nuclear YAP1 decreased, whereas cytoplasmic expression increased, showing a localization shift. These results suggest that YAP1 may predict treatment response and become a future therapeutic target. Full article

Background: The accurate prediction of pathological complete response (pCR) following total neoadjuvant therapy (TNT) is crucial for optimising treatment protocols in locally advanced rectal cancer (LARC). Although conventional imaging techniques such as MRI show limitations in assessing treatment response, metabolic imaging utilising 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT) provides distinctive information by quantifying tumour glycolytic activity. This study investigates the predictive value of sequential 18F-FDG PET-CT parameters, focusing on Total Lesion Glycolysis (TLG), in predicting pCR after TNT. Methods: We conducted a retrospective analysis of 33 LARC patients (T3–4/N0–1) treated with TNT (neoadjuvant-chemoradiation followed by consolidation FOLFOX chemotherapy). Sequential PET-CT scans were performed at baseline, interim (after 4 cycles of FOLFOX), and post-TNT. Metabolic parameters, including maximum standardised uptake value (SUVmax) and TLG, were measured. Receiver operating characteristic (ROC) analysis assessed the predictive performance of these parameters for pCR. Results: The pCR rate was 21.2% (7/33). Post-TNT TLG ≤ 10 demonstrated excellent predictive accuracy for pCR (AUC 0.887, 92.3% sensitivity, 85.7% specificity, and 96.0% PPV), outperforming SUVmax (AUC 0.843). Interim TLG ≤ 10 also showed a strong predictive value (AUC 0.824, 100% sensitivity, and 71.4% specificity). Conclusions: TLG may serve as a reliable metabolic biomarker for predicting pathologic complete response (pCR) after total neoadjuvant therapy (TNT) in locally advanced rectal cancer (LARC). Its inclusion in clinical decision-making could improve patient selection for organ preservation strategies, thereby reducing the need for unnecessary surgeries in the future. However, given that the study is based on a small retrospective design, the findings should be interpreted with caution and used alongside other decision-making tools until more comprehensive data are collected from larger studies. Full article