AIMC Topic: Peritoneal Neoplasms
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Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning.
JAMA network open
Jan 4, 2021
IMPORTANCE: Occult peritoneal metastasis frequently occurs in patients with advanced gastric cancer and is poorly diagnosed with currently available tools. Because the presence of peritoneal metastasis precludes the possibility of curative surgery, t...
Development and validation of a deep learning system for ascites cytopathology interpretation.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Jun 4, 2020
BACKGROUND: Early diagnosis of Peritoneal metastasis (PM) is clinically significant regarding optimal treatment selection and avoidance of unnecessary surgical procedures. Cytopathology plays an important role in early screening of PM. We aimed to de...
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.
International journal of computer assisted radiology and surgery
May 25, 2019
PURPOSE: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, real-time in vivo imaging with confocal laser microscopy has been propos...
Can machine learning predict resecability of a peritoneal carcinomatosis?
Surgical oncology
May 4, 2019
BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures are called 'open & close' (O & C) representing up to 48% of surgery. The objective of this study wa...
Can We Accurately Identify Peritoneal Metastases Based on Their Appearance? An Assessment of the Current Practice of Intraoperative Gastrointestinal Cancer Staging.
Annals of surgical oncology
Mar 25, 2019
BACKGROUND: Peritoneal lesions are common findings during operative abdominal cancer staging. The decision to perform biopsy is made subjectively by the surgeon, a practice the authors hypothesized to be imprecise. This study aimed to describe optica...
Clinical features of mesenteric lymphatic malformation in children.
Journal of pediatric surgery
Dec 9, 2015
BACKGROUND: Mesenteric lymphatic malformations (MLs) are a heterogeneous group of benign diseases of the lymphatic system that present with cystic dilated lymphatics of the mesentery. MLs are rare and represent less than 5% of all lymphatic malformat...
Predicting Severe Postoperative Complications after CRS-HIPEC: An Externally Validated Machine-Learning Tool.
World journal of surgery
Jun 1, 2025
INTRODUCTION: Current decision support tools designed to predict postoperative complications, following cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC), are limited by small sample sizes and lack of external validatio...
[Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
May 25, 2025
Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, ar...
[Integrated diagnosis and treatment of peritoneal metastasis in gastric cancer].
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
May 25, 2025
The high incidence and mortality rates of gastric cancer pose a significant burden on human health and public health systems. Peritoneal metastasis is one of the main routes of metastasis in gastric cancer, and patients with this condition have poor ...
Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.
The oncologist
Jan 17, 2025
BACKGROUND: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the...
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