A fully robotic, ultrasound-guided technique for organ-sparing resection of gastric gastrointestinal stromal tumors (GISTs) yields impressive results. In a cohort of 46 patients, the procedure demonstrated no intraoperative complications and a postoperative morbidity rate below 5%. All surgeries achieved R0 resection with a median follow-up of 36 months showing a disease-free survival rate of 98%. […]
Category: Sarcoma & rare tumors
Endoscopic resection proves safe for early-stage duodenal tumors
In a comprehensive review of 40 patients with grade 1-2 duodenal neuroendocrine tumors, endoscopic resection emerged as a viable first-line treatment option. Notably, ligation-assisted endoscopic mucosal resection achieved a remarkable 100% complete resection rate, with only one case of perforation successfully managed endoscopically. During a mean follow-up of nearly five years, no patients experienced metastasis […]
Robotic, organ-sparing surgery shows high efficacy for gastric tumors
Minimally invasive, ultrasound-guided robotic resections for gastric gastrointestinal stromal tumors (GISTs) demonstrate remarkable safety and efficacy. A study of 46 patients, primarily with challenging tumor locations, revealed no intraoperative complications or conversions to open surgery. The approach resulted in less than 5% postoperative morbidity and an impressive median disease-free survival rate of 98% at 36 […]
Automated machine learning excels in predicting liver metastases.
A groundbreaking automated machine learning model has significantly improved the prediction of liver metastases in patients with early-onset gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Analyzing data from over 12,000 patients, the gradient boosting machine (GBM) algorithm achieved an impressive area under the curve (AUC) of 0.961 in the training set and 0.953 in validation. Key predictors included […]
Size cut-offs established for rectal neuroendocrine neoplasm recurrence
A recent retrospective study involving 1,011 patients identified critical size thresholds for rectal neuroendocrine neoplasms (NENs). For grade 1 tumors, a 0.7 cm cut-off showed 100% sensitivity and 79% specificity, indicating minimal recurrence risk. Conversely, grade 1 tumors with lymphovascular invasion necessitated a 1.5 cm cut-off. Grade 2 NENs, which exhibited a 22.9% lymph node […]
Machine learning model improves survival predictions for pancreatic neuroendocrine tumors
A novel machine learning model has been developed by researchers to predict survival in metastatic pancreatic neuroendocrine tumors (PNETs), a condition traditionally associated with poor prognosis. Utilizing data from 1430 patients, the model employed the extreme gradient boosting (XGBoost) algorithm and integrated ten prognostic factors. It demonstrated strong predictive accuracy, achieving area under the receiver […]
Integrated care pathways enhance sarcoma treatment efficiency
A digital platform, ShapeHub, is proposed to streamline sarcoma care by integrating patient data across multiple healthcare providers. The initiative aims to address care fragmentation that often leads to delays and redundant testing. In a case study within the Swiss sarcoma network, ShapeHub demonstrated significant improvements in diagnostic pathways, decreased unplanned surgeries, and optimized radiotherapy […]
Serum EV-MDM2 Levels May Indicate Liposarcoma Recurrence
Elevated levels of extracellular vesicle (EV) MDM2-DNA in retroperitoneal liposarcoma patients suggest this biomarker could identify disease recurrence. In a study involving 42 patients, EV-MDM2 levels were significantly higher in individuals with well-differentiated or dedifferentiated liposarcoma compared to healthy controls. Post-surgery, levels dropped but rose again during follow-up for some, aligning with imaging evidence of […]
Gradient boosting model predicts liver metastasis in pancreatic neuroendocrine tumors.
A study utilizing data from 7,463 pancreatic neuroendocrine tumor (PanET) patients developed a gradient boosting machine (GBM) model, marking it as the most effective tool for predicting liver metastasis. The model achieved an AUC of 0.937 and an accuracy of 0.87, highlighting independent risk factors like T-stage, N-stage, and previous treatments. It culminated in a […]
Endoscopic resection proves effective for certain esophageal tumors
The study identifies significant clinicopathological differences between esophageal gastrointestinal stromal tumors (e-gist) and gastric gastrointestinal stromal tumors (g-gist), noting e-gist’s stronger male predominance, older median age, and increased tumor size and ulceration. Remarkably, endoscopic resection (ER) is found to be comparably effective to surgical resection for selected e-gist patients (tumors ≤5 cm without ulceration), with […]