AIMC Topic: Esophageal Neoplasms

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Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.

Journal of gastroenterology Aug 10, 2020
BACKGROUND: Although optimal treatment of superficial esophageal squamous cell carcinoma (SCC) requires accurate evaluation of cancer invasion depth, the current process is rather subjective and may vary by observer. We, therefore, aimed to develop a...
Artificial Intelligence Retrospective Studies Female Aged Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Sensitivity and Specificity Humans Narrow Band Imaging Male Esophagoscopy Neural Networks, Computer Middle Aged Neoplasm Invasiveness
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Assessment of Quality Outcomes and Learning Curve for Robot-Assisted Minimally Invasive McKeown Esophagectomy.

Annals of surgical oncology Jul 27, 2020
BACKGROUND: This study aimed to identify the results of the quality assessment and the learning curve of robot-assisted minimally invasive McKeown esophagectomy (RAMIE-MK).
Learning Curve Humans Retrospective Studies Robotics Robotic Surgical Procedures Esophagectomy Esophageal Neoplasms
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The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future.

Medicina (Kaunas, Lithuania) Jul 21, 2020
In the gastroenterology field, the impact of artificial intelligence was investigated for the purposes of diagnostics, risk stratification of patients, improvement in quality of endoscopic procedures and early detection of neoplastic diseases, implem...
Esophagus Esophageal Neoplasms Humans Artificial Intelligence Prognosis Endoscopy Diagnosis, Computer-Assisted Mass Screening Early Detection of Cancer
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Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.

Journal of gastroenterology and hepatology Jun 27, 2020
BACKGROUND AND AIM: Conventional endoscopy for the early detection of esophageal and esophagogastric junctional adenocarcinoma (E/J cancer) is limited because early lesions are asymptomatic, and the associated changes in the mucosa are subtle. There ...
Asia Esophagogastric Junction Sensitivity and Specificity Male Middle Aged Deep Learning Image Processing, Computer-Assisted Aged Adenocarcinoma Aged, 80 and over Early Detection of Cancer Adult Esophageal Neoplasms Humans Stomach Neoplasms Artificial Intelligence Female
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Utilizing artificial intelligence in endoscopy: a clinician's guide.

Expert review of gastroenterology & hepatology Jun 17, 2020
INTRODUCTION: Artificial intelligence (AI) that surpasses human ability in image recognition is expected to be applied in the field of gastrointestinal endoscopes. Accordingly, its research and development (R &D) is being actively conducted. With the...
Colorectal Neoplasms Deep Learning Rectal Diseases Endoscopy, Gastrointestinal Humans Stomach Neoplasms Colonic Polyps Image Interpretation, Computer-Assisted Capsule Endoscopy Precancerous Conditions Helicobacter Infections Helicobacter pylori Gastrointestinal Neoplasms Esophageal Neoplasms Pharyngeal Neoplasms
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Robot-Assisted Minimally Invasive Esophagectomy with Intrathoracic Anastomosis (Ivor Lewis): Promising Results in 100 Consecutive Patients (the European Experience).

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Feb 18, 2020
BACKGROUND: Robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis is gaining popularity as a treatment for esophageal cancer. The aim of this study was to describe postoperative complications and short-term oncologic ...
Postoperative Complications Treatment Outcome Robotics Minimally Invasive Surgical Procedures Laparoscopy Humans Esophagectomy Retrospective Studies Esophageal Neoplasms Anastomosis, Surgical
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A novel deep learning model using dosimetric and clinical information for grade 4 radiotherapy-induced lymphopenia prediction.

Physics in medicine and biology Feb 4, 2020
Radiotherapy-induced lymphopenia has increasingly been shown to reduce cancer survivorship. We developed a novel hybrid deep learning model to efficiently integrate an entire set of dosimetric parameters of a radiation treatment plan with a patient's...
Humans Deep Learning Radiometry Lymphopenia Models, Statistical Esophageal Neoplasms Radiotherapy Radiation Injuries
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Machine learning to predict early recurrence after oesophageal cancer surgery.

The British journal of surgery Jan 30, 2020
BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This s...
Area Under Curve Humans Neoplasm Recurrence, Local Clinical Decision Rules Aged Esophagectomy Middle Aged Machine Learning Esophageal Neoplasms Aged, 80 and over Risk Assessment Female Adult ROC Curve Male Adenocarcinoma
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Esophageal Neoplasms Japan Outcome Assessment, Health Care Esophageal Squamous Cell Carcinoma Preoperative Care Endoscopic Mucosal Resection Middle Aged Deep Learning Neoplasm Invasiveness Area Under Curve Aged, 80 and over Sensitivity and Specificity Retrospective Studies Humans Male Neural Networks, Computer Female Artificial Intelligence Reproducibility of Results Aged
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Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 24, 2020
Barrett cancer is a treatable disease when detected at an early stage. However, current screening protocols are often not effective at finding the disease early. Volumetric Laser Endomicroscopy (VLE) is a promising new imaging tool for finding dyspla...
Precancerous Conditions Humans Early Detection of Cancer Deep Learning Esophageal Neoplasms Microscopy, Confocal Barrett Esophagus Image Enhancement
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