Publications by authors named "Sabitha Manoj"
Purpose: Sarcopenia is considered a negative prognostic factor in patients with malignant tumors. Among other diagnostic options, computed tomography (CT), which is repeatedly performed on tumor patients, can be of further benefit. The present study aims to establish a framework for classifying the impact of sarcopenia on the prognosis of patients diagnosed with esophageal or gastric cancer.
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- The study focuses on predicting lymph node metastasis (LNM) in testicular cancer to improve treatment decisions and prognosis, using a sample of 91 early-stage patients.
- Researchers developed predictive models by combining clinical risk factors such as age, tumor markers, histotype, and BMI with lymph node radiomics features using various machine learning methods.
- The Random Forest model showed the best predictive performance (AUC of 0.95), indicating that integrating machine learning with radiomics and clinical factors can enhance precision in oncology for testicular cancer treatment.