Principles of medical and oncological management of giant masses of the mediastinum: a narrative review

Therapeutic Decision Making in Prevascular Mediastinal Tumors Using CT Radiomics and Clinical Features: Upfront Surgery or Pretreatment Needle Biopsy?

The study aimed to develop machine learning (ML) classification models for differentiating patients who needed direct surgery from patients who needed core needle biopsy among patients with prevascular mediastinal tumor (PMT). Patients with PMT who received a contrast-enhanced computed tomography (CECT) scan and initial management for PMT between January 2010 and December 2020 were included in this retrospective study. Fourteen ML algorithms were used to construct candidate classification models via the voting ensemble approach, based on preoperative clinical data and radiomic features extracted from the CECT. The classification accuracy of clinical diagnosis was 86.1%. The first ensemble learning model was built by randomly choosing seven ML models from a set of fourteen ML models and had a classification accuracy of 88.0% (95% CI = 85.8 to 90.3%). The second ensemble learning model was the combination of five ML models, including NeuralNetFastAI, NeuralNetTorch, RandomForest with Entropy, RandomForest with Gini, and XGBoost, and had a classification accuracy of 90.4% (95% CI = 87.9 to 93.0%), which significantly outperformed clinical diagnosis (p < 0.05). Due to the superior performance, the voting ensemble learning clinical-radiomic classification model may be used as a clinical decision support system to facilitate the selection of the initial management of PMT.

Radiotherapy for tumors of the mediastinum - state of the art

Mediastinal tumors encompass a diverse range of malignancies, originating within or spreading to the mediastinum. The administration of radiotherapy within the anatomical confines of the mediastinum presents unique challenges owing to the close proximity of critical organs, including the heart, lungs, esophagus, and spinal cord. However, recent progress in imaging techniques, treatment modalities, and our understanding of tumor biology has significantly contributed to the development of effective and safe therapeutic strategies for mediastinal diseases. This review article aims to explore the latest innovations in radiotherapy and their practical applications in the management of mediastinal tumors, with a primary focus on lymphomas, thymomas, and thymic carcinomas. By examining these advancements, we seek to provide valuable insights into the current state of the art in radiotherapy for mediastinal malignancies, ultimately fostering improved patient outcomes and clinical decision-making.