AIMC Topic: Esophageal Neoplasms
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Deep-learning-based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma.
Histopathology
Jul 11, 2022
AIMS: Desmoplastic reaction (DR) categorisation has been shown to be a promising prognostic factor in oesophageal squamous cell carcinoma (ESCC). The usual DR evaluation is performed using semiquantitative scores, which can be subjective. This study ...
ASO Author Reflections: Can Artificial Intelligence Evaluate the Surgical Learning Curve of Robot-Assisted Minimally Invasive Esophagectomy?
Annals of surgical oncology
Jul 8, 2022
[Robot-assisted Minimally Invasive Oesophagectomy - Surgical Variants of Intrathoracic Circular Stapled Oesophagogastric Anastomosis].
Zentralblatt fur Chirurgie
Jun 28, 2022
INTRODUCTION: Anastomotic insufficiency after oesophagectomy contributes significantly to morbidity and mortality of affected patients. A safe surgical technique can reduce the incidence of such anastomotic insufficiencies.
Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence.
Annals of surgical oncology
Jun 28, 2022
BACKGROUND: Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures have been performed due to three-dimensional field of view, image stabilization, and flexible joint function, both the surgeons and surgical teams req...
Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.
Gastrointestinal endoscopy
Jun 17, 2022
BACKGROUND AND AIMS: The risk of progression in Barrett's esophagus (BE) increases with development of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver disagreement among expert pathologist...
A prediction model for pathological findings after neoadjuvant chemoradiotherapy for resectable locally advanced esophageal squamous cell carcinoma based on endoscopic images using deep learning.
The British journal of radiology
May 23, 2022
OBJECTIVES: To propose deep-learning (DL)-based predictive model for pathological complete response rate for resectable locally advanced esophageal squamous cell carcinoma (SCC) after neoadjuvant chemoradiotherapy (NCRT) with endoscopic images.
Propensity-Matched Analysis of the Short-Term Outcome of Robot-Assisted Minimally Invasive Esophagectomy Versus Conventional Thoracoscopic Esophagectomy in Thoracic Esophageal Cancer.
World journal of surgery
Apr 30, 2022
BACKGROUND: In this matched-cohort study, we investigated the short-term outcome of robot-assisted minimally invasive esophagectomy (RAMIE) compared with conventional minimally invasive thoracoscopic esophagectomy (MIE) in esophageal cancer patients.
Robot-assisted minimally invasive esophagectomy (RAMIE) with side-to-side semi-mechanical anastomosis: analysis of a learning curve.
Updates in surgery
Apr 11, 2022
Minimally invasive esophagectomy (MIE) reduces mortality and morbidity related to esophageal surgery, but a long learning curve is necessary due to the technical difficulties of thoracoscopy (35 to 119 patients required as reported in literature). Ro...
A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer.
Journal of healthcare engineering
Mar 24, 2022
The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients' data were used in this study, which was randomly ...
Minimally Invasive Esophagectomy Is Associated with Superior Survival Compared to Open Surgery.
The American surgeon
Mar 23, 2022
INTRODUCTION: Minimally invasive esophagectomy (MIE) has not been associated with a long-term survival advantage compared to open esophagectomy (OE). We investigated survival differences between MIE, including laparoscopic and robotic, and OE.
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