AIMC Topic: Peritoneal Neoplasms
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F-FDG PET/CT Radiomics-Based Multimodality Fusion Model for Preoperative Individualized Noninvasive Prediction of Peritoneal Metastasis in Advanced Gastric Cancer.
Annals of surgical oncology
Jul 8, 2024
PURPOSE: This study was designed to develop and validate a machine learning-based, multimodality fusion (MMF) model using F-fluorodeoxyglucose (FDG) PET/CT radiomics and kernelled support tensor machine (KSTM), integrated with clinical factors and nu...
Preoperative CECT-Based Multitask Model Predicts Peritoneal Recurrence and Disease-Free Survival in Advanced Ovarian Cancer: A Multicenter Study.
Academic radiology
May 1, 2024
RATIONALE AND OBJECTIVES: Peritoneal recurrence is the predominant pattern of recurrence in advanced ovarian cancer (AOC) and portends a dismal prognosis. Accurate prediction of peritoneal recurrence and disease-free survival (DFS) is crucial to iden...
Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.
International journal of surgery (London, England)
May 1, 2024
BACKGROUND: Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PDAC) are frequently overlooked during imaging. The authors aimed to develop and validate a computed tomography (CT)-based deep learning-based radiomics...
A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.
World journal of surgery
Apr 23, 2024
INTRODUCTION: Peritoneal carcinomatosis is considered a late-stage manifestation of neoplastic diseases. Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) can be an effective treatment for these patients. However, the p...
Development of a Deep Learning System for Intraoperative Identification of Cancer Metastases.
Annals of surgery
Apr 5, 2024
OBJECTIVE: The aim of this study was to develop and test a prototype of a deep learning surgical guidance system [computer-assisted staging laparoscopy (CASL)] that can intraoperative identify peritoneal surface metastases on routine laparoscopy imag...
Feasibility of Robot-Assisted Cytoreductive Surgery With Upper-Abdominal Peritonectomy for Pseudomyxoma Peritonei With Low Peritoneal Carcinomatosis Index: A Pilot Study.
Surgical laparoscopy, endoscopy & percutaneous techniques
Apr 1, 2024
INTRODUCTION: Our study's objective was to provide the method for, and preliminary findings from, robot-assisted cytoreductive surgery (r-CRS) combined with upper-abdominal peritonectomy in pseudomyxoma peritonei (PMP) with limited peritoneal surface...
Early port site and peritoneal metastasis following robot-assisted radical cystectomy: a rare case report.
Journal of cancer research and clinical oncology
Jan 25, 2024
Radical cystectomy with pelvic lymph node dissection is the recommended treatment for managing muscle-invasive carcinoma of the urinary bladder. Early recurrence is observed in only about 4.1% of cases. Port-site metastasis following robot-assisted r...
CT-based deep learning model: a novel approach to the preoperative staging in patients with peritoneal metastasis.
Clinical & experimental metastasis
Oct 5, 2023
Peritoneal metastasis (PM) is a frequent manifestation of advanced abdominal malignancies. Accurately assessing the extent of PM before surgery is essential for patients to receive optimal treatment. Therefore, we propose to construct a deep learning...
Robotic anterior resection and partial peritonectomy for rectal cancer with peritoneal carcinomatosis-A video vignette.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Aug 13, 2023
Associating Peritoneal Metastasis With T2-Weighted MRI Images in Epithelial Ovarian Cancer Using Deep Learning and Radiomics: A Multicenter Study.
Journal of magnetic resonance imaging : JMRI
May 3, 2023
BACKGROUND: The preoperative diagnosis of peritoneal metastasis (PM) in epithelial ovarian cancer (EOC) is challenging and can impact clinical decision-making.
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