Kamuran Ibis

The “Undefined and Ignored Normal Tissue” Bulboclitoral Complex in Locally Advanced Cervical Cancer Treated with Definitive Radiochemotherapy: Is It Not the Organ at Risk?

Background and Objectives: The bulboclitoral complex (BCC) is an essential organ for female sexual health. However, it is not defined as an organ at risk in any guideline defining target volumes in radiotherapy of gynecological cancers, and there is no information about dose constraint. Materials and Methods: Simulation computed tomography scans of 20 patients diagnosed with locally advanced cervical cancer were used retrospectively. The volumetric modulated arc therapy treatment plan with a total dose of 45 Gy in 25 fractions was created using the planning target volume (PTV)-standard, which was created without considering the BCC, and the PTV-BCC spared, which were contoured and included in the optimization. Bulboclitoral complex doses in PTV-standard and PTV-BCC spared plans were compared using the paired simple t test. Results: Median BCC volume was 17.6 cm3 (11.20–25.50). Bulboclitoral complex maximum dose (Dmax) was median 49.07 Gy (48.49–50.25) and 28.81 Gy (18.14–44.61) in the PTV-standard and PTV-BCC spared plans, respectively, and the BCC Dmax was statistically significantly lower in the PTV-BCC spared plan (p < 0.001). When comparing BCC percentage of volume receiving 45 Gy (V45), the median values for PTV-standard and PTV-BCC spared plans were 37.5% (13.3–82.6) and 0%, respectively (p ≤ 0.001). Conclusions: The bulboclitoral complex can be dosimetrically protected from radiation by contouring and optimizing it as an organ at risk in the radiotherapy plan. The clinical effects of protecting the BCC from radiation as an organ at risk on sexual health need to be investigated.

Machine Learning-Based Prognostic Modelling Using MRI Radiomic Data in Cervical Cancer Treated with Definitive Chemoradiotherapy and Brachytherapy

Background: This study aims to evaluate the contribution of clinical and radiomic features to machine learning-based models for survival prediction in patients with locally advanced cervical cancer. Methods: Clinical and radiomic data from 161 patients were retrospectively collected from a single center. Radiomic features were obtained from contrast-enhanced magnetic resonance imaging (MRI) T1-weighted (T1W), T2-weighted (T2W), and diffusion-weighted (DWI) sequences. After data cleaning, feature engineering, and scaling, survival prediction models were created using the CatBoost algorithm with different data combinations (clinical, clinical + T1W, clinical + T2W, clinical + DWI). The performance of the models was evaluated using test accuracy, precision, recall, F1-score, ROC curve, and Bland–Altman analysis. Results: Models using both clinical and radiomic features showed significant improvements in accuracy and F1-score compared to models based solely on clinical data. In particular, the CatBoost_CLI + T2W_DMFS model achieved the best performance, with a test accuracy of 92.31% and an F1-score of 88.62 for distant metastasis-free survival prediction. ROC and Bland–Altman analyses further demonstrated that this model has high discriminative power and prediction consistency. Conclusions: The CatBoost algorithm shows high accuracy and reliability for survival prediction in locally advanced cervical cancer when clinical and radiomic features are combined. The addition of radiomics data significantly improves model performance.

Efficacy of cumulative cisplatin dose on survival in patients with locally advanced cervical cancer treated with definitive chemoradiotherapy: multicenter study by Turkish Oncology Group

To investigate the impact of cumulative cisplatin dose on clinical outcomes in locally advanced cervical cancer patients undergoing definitive chemoradiotherapy. A retrospective analysis was conducted on 654 patients with stage IB3-IVA disease treated with definitive chemoradiotherapy. Radiotherapy was applied as external beam pelvic with or without para-aortic radiotherapy and brachytherapy. Concomitant chemotherapy was in the form of weekly or 3 weekly cisplatin. Data on demographics, treatment protocols, cumulative cisplatin dose, adverse effects, and survival outcomes were collected. Statistical analyses, including univariate and multivariate Cox regression models, were used to assess factors influencing progression free survival and overall survival. The median cumulative cisplatin dose was 210 mg (range 40-320), and ≥200 mg in 503 (76.9%) patients. Median follow-up was 35 months (range 1-150). The 5 year progression free survival and overall survival rates were 66.9% and 77.1%, respectively. Multivariate analysis identified poor performance status, non-squamous cell histology, presence of lymph node metastases, and hemoglobin 200 mg, particularly in patients with lymph node metastases, significantly improved overall survival. Factors such as anemia, toxicity related challenges, and comorbidities were identified as critical considerations in treatment planning. These findings emphasize the balance between maximizing therapeutic efficacy and managing toxicity, guiding personalized treatment approaches for locally advanced cervical cancer.