AIMC Topic: Chemoradiotherapy

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A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy.

Medical physics Mar 16, 2022
PURPOSE: Recent studies have shown that severe depletion of the absolute lymphocyte count (ALC) induced by radiation therapy (RT) has been associated with poor overall survival of patients with many solid tumors. In this paper, we aimed to predict ra...
Deep Learning Esophageal Neoplasms Chemoradiotherapy Lymphocyte Depletion Humans Neural Networks, Computer Forecasting
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Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study.

European radiology Feb 24, 2022
OBJECTIVES: This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal an...
Deep Learning Neoplasm Recurrence, Local Chemoradiotherapy Diffusion Magnetic Resonance Imaging Humans Prognosis Retrospective Studies Hypopharyngeal Neoplasms
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The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation.

Surgical endoscopy Oct 12, 2021
BACKGROUND: Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy...
Chemoradiotherapy Endoscopy Deep Learning Pilot Projects Treatment Outcome Neoadjuvant Therapy Watchful Waiting Humans Neoplasm Recurrence, Local Retrospective Studies Rectal Neoplasms
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The role of deep learning-based survival model in improving survival prediction of patients with glioblastoma.

Cancer medicine Aug 28, 2021
This retrospective study has been conducted to validate the performance of deep learning-based survival models in glioblastoma (GBM) patients alongside the Cox proportional hazards model (CoxPH) and the random survival forest (RSF). Furthermore, the ...
Male Middle Aged Deep Learning Age Factors Female Aged Adult Brain Neoplasms Survival Analysis DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins Predictive Value of Tests Glioblastoma Bayes Theorem Sex Factors Humans Retrospective Studies Isocitrate Dehydrogenase Karnofsky Performance Status Proportional Hazards Models Chemoradiotherapy Radiotherapy
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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...
Prospective Studies Retrospective Studies Deep Learning Esophageal Neoplasms Chemoradiotherapy Esophageal Squamous Cell Carcinoma Humans
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A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.

PloS one Jul 1, 2021
PURPOSE: To facilitate the demonstration of the prognostic value of radiomics, multicenter radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis is however challenging, as they are sensitive to the variability...
Chemoradiotherapy Young Adult Decision Support Systems, Clinical Humans Cervix Uteri Tomography, X-Ray Computed Adult Machine Learning Female Uterine Cervical Neoplasms Aged Retrospective Studies Middle Aged Aged, 80 and over Positron-Emission Tomography Image Interpretation, Computer-Assisted Datasets as Topic Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging
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A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients.

Annals of surgical oncology Jun 19, 2021
BACKGROUND: The relationship between collagen features (CFs) in the tumor microenvironment and the treatment response to neoadjuvant chemoradiotherapy (nCRT) is still unknown. This study aimed to develop and validate a perdition model based on the CF...
Tumor Microenvironment Nomograms Neoadjuvant Therapy Support Vector Machine Rectal Neoplasms Collagen Chemoradiotherapy Humans Retrospective Studies
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Image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance imaging.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 15, 2021
INTRODUCTION: To develop an image-based deep learning model for predicting pathological response in rectal cancer using post-chemoradiotherapy magnetic resonance (MR) imaging.
Magnetic Resonance Imaging Rectal Neoplasms Chemoradiotherapy Deep Learning Treatment Outcome Neoadjuvant Therapy Humans
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An interpretable machine learning prognostic system for locoregionally advanced nasopharyngeal carcinoma based on tumor burden features.

Oral oncology May 21, 2021
OBJECTIVES: We aimed to build a survival system by combining a highly-accurate machine learning (ML) model with explainable artificial intelligence (AI) techniques to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma (NPC...
Humans Machine Learning Prognosis Epstein-Barr Virus Infections Nasopharyngeal Carcinoma Herpesvirus 4, Human Nasopharyngeal Neoplasms Tumor Burden Chemoradiotherapy
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Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.

Clinical radiology May 1, 2021
AIM: To investigate machine learning based models combining clinical, radiomic, and molecular information to distinguish between early true progression (tPD) and pseudoprogression (psPD) in patients with glioblastoma.
Sensitivity and Specificity Brain Neoplasms Male Middle Aged Adolescent Treatment Outcome Contrast Media Magnetic Resonance Imaging Reproducibility of Results Aged Humans Young Adult Brain Machine Learning Adult Image Enhancement Retrospective Studies Diagnosis, Differential Female Chemoradiotherapy Predictive Value of Tests Glioblastoma Image Interpretation, Computer-Assisted
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