AIMC Topic: Esophageal Neoplasms
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A different overview of staging PET/CT images in patients with esophageal cancer: the role of textural analysis with machine learning methods.
Annals of nuclear medicine
Jun 9, 2021
OBJECTIVE: This study evaluates the ability of several machine learning (ML) algorithms, developed using volumetric and texture data extracted from baseline F-FDG PET/CT studies performed initial staging of patient with esophageal cancer (EC), to pre...
Incidence of Recurrent Laryngeal Nerve Palsy in Robot-Assisted Versus Conventional Minimally Invasive McKeown Esophagectomy in Prone Position: A Propensity Score-Matched Study.
Annals of surgical oncology
May 25, 2021
BACKGROUND: Esophagectomy with lymphadenectomy is the principal treatment for localized esophageal cancer. Conventional minimally invasive esophagectomy (C-MIE) in prone position has spread worldwide as it is less invasive. However, its efficacy rema...
Robot-Assisted Minimally Invasive Esophagectomy Reduces the Risk of Recurrent Laryngeal Nerve Palsy.
Annals of surgical oncology
May 18, 2021
Esophageal cancer detection based on classification of gastrointestinal CT images using improved Faster RCNN.
Computer methods and programs in biomedicine
May 16, 2021
PURPOSE: Esophageal cancer is a common malignant tumor in life, which seriously affects human health. In order to reduce the work intensity of doctors and improve detection accuracy, we proposed esophageal cancer detection using deep learning. The ch...
Commentary: Minimally invasive esophagectomy (MIE) and robotic-assisted esophagectomy (RAMIE): We need high-volume surgeons, more science, and more robots!
The Journal of thoracic and cardiovascular surgery
May 11, 2021
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.
Nature medicine
Apr 15, 2021
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance.
Scientific reports
Apr 8, 2021
Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examinations. We investigated the ability of AI to detect superficial esophageal squamous cell carcinoma (ESCC) from esophagogastroduodenoscopy (EGD) videos...
Comparison of short-term outcomes between transthoracic and robot-assisted transmediastinal radical surgery for esophageal cancer: a prospective study.
BMC cancer
Mar 31, 2021
BACKGROUND: The present study aimed to assess the lower invasiveness of robot-assisted transmediastinal radical esophagectomy by prospectively comparing this procedure with transthoracic esophagectomy in terms of perioperative outcomes, serum cytokin...
Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 10, 2021
PURPOSE: To investigate the effect of data quality and quantity on the performance of deep learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of esophageal cancer.
Novel "Modified Bascule Method" for Lymphadenectomy Along the Left Recurrent Laryngeal Nerve During Robot-Assisted Minimally Invasive Esophagectomy.
Annals of surgical oncology
Mar 8, 2021
BACKGROUND: Given the worldwide popularization of conventional minimally invasive esophagectomy (C-MIE), robot-assisted MIE (RAMIE) can be expected to provide a finer procedure. However, controversy remains regarding whether RAMIE is superior to C-MI...
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