AIMC Topic: Progression-Free Survival

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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.

European radiology Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Prognosis Female Reproducibility of Results Aged Adult Survival Rate Humans Muscle, Skeletal Positron Emission Tomography Computed Tomography Neoplasm Staging Body Composition Progression-Free Survival Proportional Hazards Models Male Middle Aged Disease Progression Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Body Surface Area Intra-Abdominal Fat Subcutaneous Fat Whole Body Imaging
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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.
Chemoradiotherapy Nasopharyngeal Neoplasms Endemic Diseases Nasopharynx Induction Chemotherapy Middle Aged Risk Assessment Deep Learning China Image Processing, Computer-Assisted Antineoplastic Combined Chemotherapy Protocols Neoplasm Staging Cisplatin Fluorouracil Progression-Free Survival Radiotherapy, Intensity-Modulated Kaplan-Meier Estimate Humans Prognosis Retrospective Studies Female Adult Male
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Image-Guided Robotic Radiosurgery for Treatment of Recurrent Grade II and III Meningiomas. A Single-Center Study.

World neurosurgery Jul 12, 2019
OBJECTIVE: Stereotactic radiosurgery (SRS) has been increasingly applied for malignant meningiomas as an alternative to conventionally fractioned radiation therapy. We performed a retrospective analysis of an institutional patient cohort with maligna...
Neoplasm Recurrence, Local Progression-Free Survival Radiosurgery Radiotherapy, Image-Guided Meningioma Meningeal Neoplasms Prognosis Retrospective Studies Female Aged Male Humans Aged, 80 and over Middle Aged Adult Treatment Outcome Age Factors Robotics Neoplasm Grading
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Clinical Decision-Making Female Risk Factors Aged Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Risk Assessment Disease Progression Time Factors Humans Machine Learning Decision Support Techniques Retrospective Studies Practice Guidelines as Topic Recovery of Function Heart-Assist Devices Predictive Value of Tests Heart Transplantation Patient Selection Ohio Heart Failure Baltimore Cardiac Resynchronization Therapy Progression-Free Survival
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Survival outcome prediction in cervical cancer: Cox models vs deep-learning model.

American journal of obstetrics and gynecology Dec 21, 2018
BACKGROUND: Historically, the Cox proportional hazard regression model has been the mainstay for survival analyses in oncologic research. The Cox proportional hazard regression model generally is used based on an assumption of linear association. How...
Survival Analysis Proportional Hazards Models Female Comorbidity Carcinoma, Squamous Cell Deep Learning Adult Pilot Projects Uterine Cervical Neoplasms Adenocarcinoma Middle Aged Neoplasm Staging Risk Assessment Progression-Free Survival Humans Retrospective Studies
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Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

PloS one Dec 7, 2018
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep learning that incorporates a clinical algorithm, e.g., a risk stratification schema to improve prognostic profiling. We present the first application ...
Neoplasm Recurrence, Local Risk Assessment Humans Progression-Free Survival Infant Neuroblastoma Gene Expression Profiling Algorithms Deep Learning Prognosis Child Female Gene Expression Regulation, Neoplastic Male
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Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Predictive Value of Tests Cause of Death Heart Ventricles Progression-Free Survival Ventricular Dysfunction, Left Humans Image Interpretation, Computer-Assisted Male Machine Learning Ventricular Function, Left Retrospective Studies Phenotype Middle Aged Female Pattern Recognition, Automated Risk Assessment Risk Factors Diastole Disease Progression Hospitalization Echocardiography, Doppler, Color Cluster Analysis Aged Echocardiography, Doppler, Pulsed Aged, 80 and over
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Prediction of prognosis of immune checkpoint inhibitors combined with anti-angiogenic agents for unresectable hepatocellular carcinoma by machine learning-based radiomics.

BMC cancer May 19, 2025
OBJECTIVES: This study aims to develop and validate a novel radiomics model utilizing magnetic resonance imaging (MRI) to predict progression-free survival (PFS) in patients with unresectable hepatocellular carcinoma (uHCC) who are receiving a combin...
Immune Checkpoint Inhibitors Nomograms Angiogenesis Inhibitors Antineoplastic Combined Chemotherapy Protocols Magnetic Resonance Imaging Progression-Free Survival Adult Radiomics Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Humans Machine Learning Prognosis Retrospective Studies Female Aged
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A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.

JMIR cancer May 15, 2025
BACKGROUND: Progression-free survival (PFS) is a crucial endpoint in cancer drug research. Clinician-confirmed cancer progression, namely real-world PFS (rwPFS) in unstructured text (ie, clinical notes), serves as a reasonable surrogate for real-worl...
Pyridines Natural Language Processing Piperazines Workflow Progression-Free Survival Neoplasm Metastasis Female Aged Humans Breast Neoplasms Electronic Health Records Middle Aged Disease Progression Deep Learning
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Autoencoder techniques for survival analysis on renal cell carcinoma.

PloS one Jan 1, 2025
Survival is the gold standard in oncology when determining the real impact of therapies in patients outcome. Thus, identifying molecular predictors of survival (like genetic alterations or transcriptomic patterns of gene expression) is one of the mos...
Kidney Neoplasms Proportional Hazards Models Carcinoma, Renal Cell Autoencoder Axitinib Sunitinib Humans Transcriptome Immunotherapy Antibodies, Monoclonal, Humanized Progression-Free Survival Survival Analysis
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