AIMC Topic: Esophageal Squamous Cell Carcinoma

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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BMC cancer Nov 21, 2024
BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophagea...
Female Aged Aged, 80 and over Survival Rate Biomarkers, Tumor Humans Machine Learning Prognosis Retrospective Studies Male Oxidative Stress ROC Curve Decision Trees Support Vector Machine Esophageal Neoplasms Esophageal Squamous Cell Carcinoma
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A F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Nov 12, 2024
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (DL) features extracted from F-fluorodeoxyglucose (F-FDG) Positron emission tomography/Computed Tomography (PET/CT) images of tumor and cervical lymph n...
Female Fluorodeoxyglucose F18 Humans Retrospective Studies Male Aged Middle Aged Deep Learning Adult Lymph Nodes Radiomics Neck Lymphatic Metastasis Positron Emission Tomography Computed Tomography Esophageal Neoplasms Radiopharmaceuticals Esophageal Squamous Cell Carcinoma
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Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach.

Medical & biological engineering & computing Oct 10, 2024
This study explores the bidirectional relation of esophageal squamous cell carcinoma (ESCC) and oral squamous cell carcinoma (OSCC), examining shared risk factors and underlying molecular mechanisms. By employing random forest (RF) classifier, enhanc...
Humans Machine Learning Carcinoma, Squamous Cell Databases, Genetic MicroRNAs Mouth Neoplasms Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Gene Expression Profiling Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic
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Randomized controlled trial of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice.

Endoscopy Sep 24, 2024
BACKGROUND: Artificial intelligence (AI) has made remarkable progress in image recognition using deep learning systems. It has been used to detect esophageal squamous cell carcinoma (ESCC); however, none of the previous reports were investigations in...
Early Detection of Cancer Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Narrow Band Imaging Endoscopy, Digestive System Female Aged Male Middle Aged Humans Artificial Intelligence Prospective Studies
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Esophageal Neoplasms Mitochondria Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Mitochondrial Proteins Mitophagy Single-Cell Gene Expression Analysis Gene Expression Regulation, Neoplastic Cell Proliferation Cell Movement Transcriptome Cell Line, Tumor Single-Cell Analysis RNA-Seq Humans Machine Learning Algorithms Prognosis Biomarkers, Tumor
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Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Digestion Jul 26, 2024
BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented in image recognition and utilized in the realm of gastrointestina...
Esophageal Squamous Cell Carcinoma Adenocarcinoma Colorectal Neoplasms Diagnosis, Computer-Assisted Endoscopy, Gastrointestinal Endoscopy, Digestive System Humans Deep Learning Gastrointestinal Neoplasms Artificial Intelligence Image Processing, Computer-Assisted Esophageal Neoplasms Stomach Neoplasms Sensitivity and Specificity
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Metabolism score and machine learning models for the prediction of esophageal squamous cell carcinoma progression.

Cancer science Jul 11, 2024
The incomplete prediction of prognosis in esophageal squamous cell carcinoma (ESCC) patients is attributed to various therapeutic interventions and complex prognostic factors. Consequently, there is a pressing demand for enhanced predictive biomarker...
Middle Aged Disease Progression Nomograms Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Aged Adult Biomarkers, Tumor Humans Male Machine Learning Prognosis Female
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ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles.

British journal of cancer Jul 2, 2024
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a deadly cancer with no clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and validate a user-friendly diagnostic tool for early ESCC detection.
Humans Machine Learning Female Aged Biomarkers, Tumor Male Middle Aged ROC Curve Support Vector Machine Early Detection of Cancer Autoantibodies Esophageal Neoplasms Esophageal Squamous Cell Carcinoma
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ASO Author Reflections: Development and Validation Study of the Prognostic Impact of Deep Learning-Determined Myxoid Stroma After Neoadjuvant Chemotherapy in Patients with Esophageal Squamous Cell Carcinoma.

Annals of surgical oncology Jul 2, 2024
Esophageal Neoplasms Humans Stromal Cells Prognosis Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Survival Rate Deep Learning Neoadjuvant Therapy
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Development and Validation Study of the Prognostic Impact of Deep Learning-Determined Myxoid Stroma After Neoadjuvant Chemotherapy in Patients with Esophageal Squamous Cell Carcinoma.

Annals of surgical oncology Jun 24, 2024
PURPOSE: This study was designed to investigate the prognostic significance of artificial intelligence (AI)-based quantification of myxoid stroma in patients undergoing esophageal squamous cell carcinoma (ESCC) surgery after neoadjuvant chemotherapy ...
Middle Aged Deep Learning Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Female Humans Aged Esophagectomy Chemotherapy, Adjuvant Prognosis Survival Rate Esophageal Neoplasms Retrospective Studies Male Stromal Cells Esophageal Squamous Cell Carcinoma
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