AIMC Topic: Chemoradiotherapy

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Using Deep Learning for MRI to Identify Responders to Chemoradiotherapy in Rectal Cancer.

Radiology Apr 21, 2020
Deep Learning Magnetic Resonance Imaging Rectal Neoplasms Chemoradiotherapy Humans
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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...
Humans Treatment Outcome Neoadjuvant Therapy Rectal Neoplasms Chemoradiotherapy Female Diffusion Magnetic Resonance Imaging Male Middle Aged Deep Learning ROC Curve
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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...
Adolescent Incidence Cohort Studies Child Support Vector Machine Adult Male Middle Aged Brazil Supervised Machine Learning Tongue Neoplasms Chemoradiotherapy Finland Decision Trees Bayes Theorem Mouth Neoplasms Neoplasm Recurrence, Local Combined Modality Therapy Humans Algorithms Prognosis Female Aged Aged, 80 and over Young Adult
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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.
Humans Endemic Diseases Nasopharynx Induction Chemotherapy Image Processing, Computer-Assisted Antineoplastic Combined Chemotherapy Protocols Neoplasm Staging Male Progression-Free Survival Cisplatin Prognosis Middle Aged Fluorouracil Radiotherapy, Intensity-Modulated Retrospective Studies Risk Assessment Kaplan-Meier Estimate Female Deep Learning Chemoradiotherapy Adult China Nasopharyngeal Neoplasms
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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.
Humans Prognosis Retrospective Studies Female Aged Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Recurrence Middle Aged Radiopharmaceuticals Aged, 80 and over Deep Learning Adult Fluorodeoxyglucose F18 Cohort Studies Sensitivity and Specificity Chemoradiotherapy Treatment Outcome Uterine Cervical Neoplasms Cervix Uteri
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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 ...
Chemoradiotherapy Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Predictive Value of Tests Rectum Rectal Neoplasms Tumor Burden Image Enhancement Male Middle Aged Treatment Outcome Humans Contrast Media Machine Learning Female Reproducibility of Results
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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...
Middle Aged ROC Curve Esophageal Neoplasms Chemoradiotherapy Radiometry Female Carcinoma, Squamous Cell Aged Aged, 80 and over Male Humans Machine Learning Tomography, X-Ray Computed
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Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 23, 2019
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine ...
Chemoradiotherapy Radiation Pneumonitis Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Radiotherapy Dosage Humans Aged Machine Learning Male Female Middle Aged Lung Lung Neoplasms
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Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.

Physics in medicine and biology Jan 8, 2019
Multi-modality examinations have been extensively applied in current clinical cancer management. Leveraging multi-modality medical images can be highly beneficial for automated tumor segmentation as they provide complementary information that could m...
Nasopharyngeal Carcinoma Humans Neural Networks, Computer Tomography, X-Ray Computed Middle Aged Female Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging Young Adult Multimodal Imaging Adult Chemoradiotherapy Male
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Medical physics Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
Chemoradiotherapy Prognosis Humans Neoplasms Neural Networks, Computer Logistic Models Machine Learning Decision Trees Software Area Under Curve
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