AIMC Topic: Esophageal Neoplasms

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Radiomics applications in the modern management of esophageal squamous cell carcinoma.

Medical oncology (Northwood, London, England) May 27, 2025
Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more than half of worldwide esophageal squamous cell carcinoma (ESCC) cases. Late-stage diagnosis frequently precludes surgical intervention, contributing ...
Humans Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Precision Medicine Prognosis Radiomics Image Processing, Computer-Assisted
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Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients.

BMC gastroenterology Apr 29, 2025
PURPOSE: This study is aimed to develop and validate a machine learning model, which combined radiomics and clinical characteristics to predicting the definitive chemoradiotherapy (dCRT) treatment response in esophageal squamous cell carcinoma (ESCC)...
Middle Aged ROC Curve Logistic Models Nomograms Treatment Outcome Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Female Humans Aged Machine Learning Radiomics Retrospective Studies Male Tomography, X-Ray Computed
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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Humans Neural Networks, Computer Retrospective Studies Predictive Value of Tests Esophageal Neoplasms Japan Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Esophagoscopy Pathologic Complete Response Middle Aged Deep Learning Treatment Outcome Neoadjuvant Therapy Female Aged Sensitivity and Specificity Male
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Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case-control study.

BMC medicine Apr 23, 2025
BACKGROUND: Autoantibodies represent promising diagnostic blood-based biomarkers that may be generated prior to the first clinically detectable signs of cancers. In present study, we aimed to identify a novel optimized autoantibody panel with high di...
Early Detection of Cancer Autoantibodies Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Male Middle Aged Case-Control Studies ROC Curve Retrospective Studies Female Aged Biomarkers, Tumor Humans Machine Learning
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Unique Microbial Characterisation of Oesophageal Squamous Cell Carcinoma Patients with Different Dietary Habits Based on Light Gradient Boosting Machine Learning Classifier.

Nutrients Apr 14, 2025
: The microbiome plays an important role in cancer, but the relationship between dietary habits and the microbiota in oesophageal squamous cell carcinoma (ESCC) is not clear. The aim of this study is to explore the complex relationship between the mi...
Gastrointestinal Microbiome Boosting Machine Learning Algorithms Male Humans RNA, Ribosomal, 16S Feeding Behavior Middle Aged Machine Learning Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Diet Female Microbiota Bacteria Aged
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Deep learning-based prediction of enhanced CT scans for lymph node metastasis in esophageal squamous cell carcinoma.

Japanese journal of radiology Apr 11, 2025
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge with a particularly grim prognosis. Accurate prediction of lymph node metastasis (LNM) in ESCC is crucial for optimizing treatment strategies and improv...
Aged, 80 and over Adult Sensitivity and Specificity Male Contrast Media Retrospective Studies Middle Aged Radiographic Image Interpretation, Computer-Assisted Humans Predictive Value of Tests Tomography, X-Ray Computed Deep Learning Esophageal Neoplasms Female Lymph Nodes Esophageal Squamous Cell Carcinoma Aged Lymphatic Metastasis
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101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

International journal of molecular sciences Apr 4, 2025
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the digestive tract, characterized by a high recurrence rate and inadequate immunotherapy options. We analyzed mutation data of ESCC from public databases and...
Esophageal Neoplasms Data Mining Esophageal Squamous Cell Carcinoma Tumor Microenvironment Single-Cell Analysis Antigens, Neoplasm Mutation Humans Machine Learning Algorithms Prognosis
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Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging data.

PloS one Apr 4, 2025
Esophageal cancer is one of the most common cancers worldwide, especially esophageal squamous cell carcinoma, which is often diagnosed at a late stage and has a poor prognosis. This study aimed to develop an algorithm to detect tumors in esophageal e...
Narrow Band Imaging Male Esophagoscopy Humans Early Detection of Cancer Artificial Intelligence Esophageal Neoplasms Algorithms Esophageal Squamous Cell Carcinoma Female
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Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy.

Surgical endoscopy Mar 31, 2025
BACKGROUND: Robotic-assisted minimally invasive esophagectomy (RAMIE) is a complex surgical procedure for treating esophageal cancer. Artificial intelligence (AI) is an uprising technology with increasing applications in the surgical field. This scop...
Humans Artificial Intelligence Robotic Surgical Procedures Esophagectomy Esophageal Neoplasms Video Recording
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Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy.

Journal for immunotherapy of cancer Mar 15, 2025
BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunotherapy combined with chemotherapy (nICT) is crucial for tailoring patient care in esophageal squamous cell carcinoma (ESCC). This study aimed to develo...
Female Neoadjuvant Therapy Humans Middle Aged Aged Prognosis Esophageal Neoplasms Deep Learning Retrospective Studies Radiomics Esophageal Squamous Cell Carcinoma Tomography, X-Ray Computed Immunotherapy Male Pathologic Complete Response Treatment Outcome
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