AIMC Topic: Esophageal Squamous Cell Carcinoma

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Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.

BMC cancer Oct 30, 2021
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-checkpoint inhibitor plus chemotherapy (ICI + CT) in patients with advanced esophageal squamous cell carcinoma (ESCC).
Support Vector Machine Bias Esophageal Neoplasms Combined Modality Therapy Nomograms Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Antibodies, Monoclonal, Humanized Carboplatin Docetaxel Esophageal Squamous Cell Carcinoma Humans Tomography, X-Ray Computed Female Biomarkers, Tumor Male Middle Aged Immune Checkpoint Inhibitors
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Artificial intelligence for detecting superficial esophageal squamous cell carcinoma under multiple endoscopic imaging modalities: A multicenter study.

Journal of gastroenterology and hepatology Oct 4, 2021
BACKGROUND AND AIM: Diagnosis of esophageal squamous cell carcinoma (ESCC) is complicated and requires substantial expertise and experience. This study aimed to develop an artificial intelligence (AI) system for detecting superficial ESCC under multi...
Artificial Intelligence Retrospective Studies Sensitivity and Specificity Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Humans
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Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.

BMC cancer Aug 9, 2021
BACKGROUND: A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC. The purpose of this study was to ident...
Humans Biomarkers, Tumor Gene Expression Profiling Transcriptome Computational Biology Kaplan-Meier Estimate Machine Learning Algorithms Prognosis Reproducibility of Results Esophageal Squamous Cell Carcinoma
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A Novel Deep Learning System for Diagnosing Early Esophageal Squamous Cell Carcinoma: A Multicenter Diagnostic Study.

Clinical and translational gastroenterology Aug 4, 2021
INTRODUCTION: This study aims to construct a real-time deep convolutional neural networks (DCNNs) system to diagnose early esophageal squamous cell carcinoma (ESCC) with white light imaging endoscopy.
Esophagoscopy Humans Deep Learning Sensitivity and Specificity Esophageal Neoplasms Diagnosis, Computer-Assisted Early Diagnosis Esophageal Squamous Cell Carcinoma
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3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279).

International journal of radiation oncology, biology, physics Jul 3, 2021
PURPOSE: To develop and validate a pretreatment computed tomography (CT)-based deep-learning (DL) model for predicting the treatment response to concurrent chemoradiation therapy (CCRT) among patients with locally advanced thoracic esophageal squamou...
Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Humans Prospective Studies Retrospective Studies Deep Learning
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Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 15, 2020
BACKGROUND: Deep learning is promising to predict treatment response. We aimed to evaluate and validate the predictive performance of the CT-based model using deep learning features for predicting pathologic complete response to neoadjuvant chemoradi...
Tomography, X-Ray Computed Tumor Microenvironment Deep Learning Head and Neck Neoplasms Neoadjuvant Therapy Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Humans Retrospective Studies
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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...
Narrow Band Imaging Esophagoscopy Middle Aged Neoplasm Invasiveness Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Humans Neural Networks, Computer Artificial Intelligence Aged Sensitivity and Specificity Male Retrospective Studies Female
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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. ...
Retrospective Studies Female Reproducibility of Results Aged Endoscopic Mucosal Resection Japan Deep Learning Humans Aged, 80 and over Outcome Assessment, Health Care Neoplasm Invasiveness Neural Networks, Computer Esophageal Squamous Cell Carcinoma Sensitivity and Specificity Area Under Curve Artificial Intelligence Preoperative Care Male Esophageal Neoplasms Middle Aged
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Four transcription profile-based models identify novel prognostic signatures in oesophageal cancer.

Journal of cellular and molecular medicine Nov 19, 2019
Oesophageal cancer (ESCA) is a clinically challenging disease with poor prognosis and health-related quality of life. Here, we investigated the transcriptome of ESCA to identify high risk-related signatures. A total of 159 ESCA patients of The Cancer...
Humans Tumor Cells, Cultured Machine Learning Algorithms Cell Proliferation Apoptosis Male Prognosis Esophageal Neoplasms Middle Aged Female Esophageal Squamous Cell Carcinoma Transcriptome Survival Rate Gene Expression Regulation, Neoplastic Biomarkers, Tumor
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Endoscopic detection and differentiation of esophageal lesions using a deep neural network.

Gastrointestinal endoscopy Oct 1, 2019
BACKGROUND AND AIMS: Diagnosing esophageal squamous cell carcinoma (SCC) depends on individual physician expertise and may be subject to interobserver variability. Therefore, we developed a computerized image-analysis system to detect and differentia...
Narrow Band Imaging Precancerous Conditions Optical Imaging Esophageal Squamous Cell Carcinoma Esophageal Diseases Male Neoplasm Invasiveness Aged Humans Middle Aged Aged, 80 and over Esophagus Neural Networks, Computer Deep Learning Adult Esophageal Neoplasms Female Image Processing, Computer-Assisted Sensitivity and Specificity Observer Variation Reproducibility of Results
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