AIMC Topic: Esophageal Squamous Cell Carcinoma

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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 ...
Carcinoma, Squamous Cell Deep Learning Esophageal Neoplasms Humans Esophageal Squamous Cell Carcinoma Prognosis
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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.
Treatment Outcome Neoadjuvant Therapy Esophageal Neoplasms Chemoradiotherapy Humans Esophageal Squamous Cell Carcinoma Retrospective Studies Deep Learning
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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).
Humans Tomography, X-Ray Computed Female Biomarkers, Tumor Nomograms Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Antibodies, Monoclonal, Humanized Male Middle Aged Immune Checkpoint Inhibitors Esophageal Squamous Cell Carcinoma Combined Modality Therapy Carboplatin Support Vector Machine Docetaxel Bias Esophageal Neoplasms
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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...
Humans Artificial Intelligence Retrospective Studies Sensitivity and Specificity Esophageal Neoplasms Esophageal Squamous Cell Carcinoma
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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...
Kaplan-Meier Estimate Esophageal Squamous Cell Carcinoma Gene Expression Profiling Transcriptome Computational Biology Prognosis Reproducibility of Results Machine Learning Biomarkers, Tumor Algorithms Humans
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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.
Early Diagnosis Esophageal Squamous Cell Carcinoma Esophagoscopy Humans Deep Learning Esophageal Neoplasms Sensitivity and Specificity Diagnosis, Computer-Assisted
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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...
Deep Learning Esophageal Neoplasms Chemoradiotherapy Humans Esophageal Squamous Cell Carcinoma Prospective Studies Retrospective Studies
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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...
Humans Esophageal Squamous Cell Carcinoma Deep Learning Neoadjuvant Therapy Retrospective Studies Head and Neck Neoplasms Tomography, X-Ray Computed Tumor Microenvironment Esophageal Neoplasms Chemoradiotherapy
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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...
Esophagoscopy Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Narrow Band Imaging Male Middle Aged Retrospective Studies Neoplasm Invasiveness Female Aged Sensitivity and Specificity Humans Neural Networks, Computer Artificial Intelligence
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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. ...
Outcome Assessment, Health Care Aged Esophageal Squamous Cell Carcinoma Aged, 80 and over Retrospective Studies Area Under Curve Preoperative Care Sensitivity and Specificity Endoscopic Mucosal Resection Female Esophageal Neoplasms Humans Deep Learning Male Japan Neural Networks, Computer Reproducibility of Results Middle Aged Neoplasm Invasiveness Artificial Intelligence
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