AIMC Topic: Chemoradiotherapy

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MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.

Journal of magnetic resonance imaging : JMRI Aug 9, 2020
BACKGROUND: Distant metastasis is the primary cause of treatment failure in locoregionally advanced nasopharyngeal carcinoma (LANPC).
Herpesvirus 4, Human Magnetic Resonance Imaging Chemoradiotherapy Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Humans Retrospective Studies Deep Learning Epstein-Barr Virus Infections
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Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

Scientific reports Jul 28, 2020
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response (pCR) after neoadjuvant chemoradiotherapy (CRT) provides them with the optimal prognosis. However, no reliable prediction model is presently available...
Treatment Outcome Neoadjuvant Therapy Support Vector Machine Neoplasm Staging Rectal Neoplasms Female Aged Male Middle Aged Antineoplastic Agents Humans Chemoradiotherapy Neural Networks, Computer Machine Learning Retrospective Studies
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CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

Journal of medical imaging and radiation oncology May 9, 2020
INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict path...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Male Middle Aged Neoadjuvant Therapy Predictive Value of Tests Neoplasm Staging Female Aged Aged, 80 and over Adult Biomarkers, Tumor Neoplasm Grading Rectal Neoplasms Chemoradiotherapy Florida
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Using Deep Learning for MRI to Identify Responders to Chemoradiotherapy in Rectal Cancer.

Radiology Apr 21, 2020
Chemoradiotherapy Humans Deep Learning Magnetic Resonance Imaging Rectal Neoplasms
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Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Physics in medicine and biology Apr 2, 2020
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed) and deep learning (DL)-based radiomic features extracted from pre-tr...
ROC Curve Treatment Outcome Neoadjuvant Therapy Diffusion Magnetic Resonance Imaging Rectal Neoplasms Humans Chemoradiotherapy Female Male Middle Aged Deep Learning
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Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Humans Algorithms Prognosis Female Aged Mouth Neoplasms Chemoradiotherapy Male Cohort Studies Aged, 80 and over Neoplasm Recurrence, Local Finland Child Young Adult Combined Modality Therapy Middle Aged Support Vector Machine Supervised Machine Learning Brazil Decision Trees Adult Tongue Neoplasms Adolescent Bayes Theorem Incidence
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Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy.

Cancer medicine Dec 20, 2019
BACKGROUND: To explore the prognostic value and the role for treatment decision of pathological microscopic features in patients with nasopharyngeal carcinoma (NPC) using the method of deep learning.
Induction Chemotherapy Neoplasm Staging Cisplatin Fluorouracil Risk Assessment Humans Progression-Free Survival Deep Learning Prognosis Radiotherapy, Intensity-Modulated China Retrospective Studies Kaplan-Meier Estimate Image Processing, Computer-Assisted Chemoradiotherapy Antineoplastic Combined Chemotherapy Protocols Nasopharyngeal Neoplasms Female Endemic Diseases Adult Nasopharynx Male Middle Aged
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Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [F]-fluorodeoxyglucose positron emission tomography/computed tomography.

European radiology May 27, 2019
BACKGROUND: We designed a deep learning model for assessing F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.
Deep Learning Cohort Studies Treatment Outcome Humans Cervix Uteri Adult Prognosis Neoplasm Recurrence, Local Positron Emission Tomography Computed Tomography Retrospective Studies Radiopharmaceuticals Fluorodeoxyglucose F18 Female Sensitivity and Specificity Chemoradiotherapy Aged Uterine Cervical Neoplasms Recurrence Aged, 80 and over Middle Aged
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Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Magnetic resonance imaging May 3, 2019
PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally advanced rectal cancer (LARC) using radiomics and deep learning based on pre-treatment MRI and a mid-radiation follow-up MRI taken 3-4 weeks after the ...
Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Rectum Humans Rectal Neoplasms Tumor Burden Machine Learning Middle Aged Image Enhancement Treatment Outcome Female Chemoradiotherapy Contrast Media Reproducibility of Results Predictive Value of Tests Male
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Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.

European radiology Apr 26, 2019
PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated model combining computed tomography (CT) radiomic features and dosimetric parameters for patients with esophageal cancer (EC) who underwent concurrent...
ROC Curve Humans Carcinoma, Squamous Cell Esophageal Neoplasms Machine Learning Aged Chemoradiotherapy Tomography, X-Ray Computed Aged, 80 and over Female Radiometry Male Middle Aged
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