Novel Functional Radiomics for Predicting Cardiotoxicity in Lung Cancer Radiotherapy using Cardiac FDG-PET Uptake

Our paper “Novel Functional Radiomics for Prediction of Cardiac Positron Emission Tomography Avidity in Lung Cancer Radiotherapy” has been published in JCO CCI. This research work delves into an innovative approach to predict clinical cardiac assessment using functional imaging. Note: This post summarizes broader functional cardiac PET radiomics work. Only one related presentation below is specifically a delta-radiomics analysis. Abstract: Traditional methods for evaluating cardiotoxicity primarily focus on radiation doses to the heart. However, functional imaging offers the potential to enhance early prediction of cardiotoxicity in lung cancer patients undergoing radiotherapy. In this context, Fluorine-18 (18F) fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) imaging plays a crucial role. This study aims to develop a radiomics model that predicts clinical cardiac assessment using 18F-FDG PET/CT scans before thoracic radiation therapy. ...

September 11, 2023 · 2 min · 350 words · Wookjin Choi

Artificial Intelligence in Radiation Oncology

October 15, 2021 · 0 min · 0 words · Wookjin Choi

Quantitative Cancer Image Analysis

November 3, 2019 · 0 min · 0 words · Wookjin Choi

Simulation of Realistic Organ-At-Risk Delineation Variability in Head and Neck Radiation Therapy

July 18, 2019 · 0 min · 0 words · Wookjin Choi

Radiomics in Lung Cancer

October 1, 2018 · 0 min · 0 words · Wookjin Choi

Interpretable Spiculation Quantification for Lung Cancer Screening

UKC2018 Aug 4, 2018 MSKCC Postdoctoral Research Symposium Sep 28, 2018 https://twitter.com/arxiv_org/status/1034746650089021445 Presented at MICCAI ShapeMI Workshop https://shapemi.github.io/program/

September 11, 2018 · 1 min · 18 words · Wookjin Choi

Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy

Sep 17, 2018 May 21, 2018

June 21, 2018 · 1 min · 6 words · Wookjin Choi

Radiomics and Deep Learning for Lung Cancer Screening

KOCSEA Technical Symposium 2017, Invited Talk, KSEA Travel Grant

November 12, 2017 · 1 min · 9 words · Wookjin Choi

Robust Normal Lung CT Texture Features for the Prediction of Radiation-Induced Lung Disease

2017 ASTRO annual meeting http://www.redjournal.org/article/S0360-3016(17)31540-7/fulltext

October 2, 2017 · 1 min · 5 words · Wookjin Choi

Radiomics Analysis of Pulmonary Nodules in Low Dose CT for Early Detection of Lung Cancer

2017 AAPM annual meeting http://www.aapm.org/meetings/2017AM/PRAbs.asp?mid=127&aid=36486

August 3, 2017 · 1 min · 5 words · Wookjin Choi