AIMC Topic: Esophageal Squamous Cell Carcinoma

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Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Scientific reports Aug 7, 2025
Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities; however, they sometimes share similarities in histological structure depending on the context. Thus, distinguishing between the two may require care...
Humans Female Carcinoma, Squamous Cell Support Vector Machine Esophageal Neoplasms Extracellular Matrix Esophageal Squamous Cell Carcinoma Microscopy, Fluorescence, Multiphoton Aged Male Middle Aged Image Processing, Computer-Assisted
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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 ...
Radiomics Image Processing, Computer-Assisted Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Humans Precision Medicine Prognosis
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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)...
Treatment Outcome Tomography, X-Ray Computed Middle Aged Esophageal Neoplasms Humans Female Aged Chemoradiotherapy ROC Curve Radiomics Machine Learning Esophageal Squamous Cell Carcinoma Logistic Models Male Retrospective Studies Nomograms
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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 Female Deep Learning Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Esophageal Neoplasms Aged Sensitivity and Specificity Male Middle Aged Pathologic Complete Response Japan Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Esophagoscopy
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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...
Autoantibodies Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Retrospective Studies Humans Male Female Machine Learning Aged Middle Aged Biomarkers, Tumor Case-Control Studies ROC Curve Early Detection of Cancer
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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...
Humans Machine Learning Female Aged Diet Bacteria Gastrointestinal Microbiome Male Middle Aged Esophageal Squamous Cell Carcinoma RNA, Ribosomal, 16S Boosting Machine Learning Algorithms Esophageal Neoplasms Microbiota Feeding Behavior
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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...
Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Lymphatic Metastasis Female Humans Contrast Media Aged Middle Aged Retrospective Studies Predictive Value of Tests Aged, 80 and over Sensitivity and Specificity Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Adult Male Deep Learning Lymph Nodes
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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...
Single-Cell Analysis Antigens, Neoplasm Mutation Esophageal Neoplasms Data Mining Esophageal Squamous Cell Carcinoma Machine Learning Algorithms Prognosis Tumor Microenvironment Humans
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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 Esophagoscopy Humans Male Artificial Intelligence Early Detection of Cancer Algorithms Esophageal Neoplasms Female Esophageal Squamous Cell Carcinoma
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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 Treatment Outcome Humans Pathologic Complete Response Retrospective Studies Prognosis Aged Neoadjuvant Therapy Tomography, X-Ray Computed Radiomics Esophageal Neoplasms Male Esophageal Squamous Cell Carcinoma Middle Aged Deep Learning Immunotherapy
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