Radiotherapy on Qualia Radiomics

Selected for ASTRO 2026 BEST of Physics — Oral Presentation in Boston

Mon, 18 May 2026 09:00:00 -0400

Thrilled to share that our work has been selected for an Oral Scientific Presentation in the BEST of Physics session at the American Society for Radiation Oncology (ASTRO) 2026 Annual Meeting, September 26–30 in Boston, MA. Out of ~2,700 abstracts submitted to ASTRO this year, only 300 were chosen for oral presentation, and BEST of Physics gathers the highest-rated physics work of the meeting.

Presentation details


Abstract #	75557
Title	Early Adaptive Interventions in Lung Cancer: Leveraging Fusion of Longitudinal CBCT Trajectories and Clinical Variables for Robust Survival Prediction
Session	SS 19 — BEST of Physics
Date / Time	September 28, 2026 · 10:45 AM – 12:00 PM ET
Venue	Thomas M. Menino Convention & Exhibition Center, Boston, MA
Format	7-min oral + 3-min Q&A
Publication	Red Journal supplement

Authors

Wookjin Choi, Pradeep Bhetwal, Michael Dichmann, Yingcui Jia, Wenchao Cao, Danfu Liang, Yingxuan Chen, Adam Dicker, Yevgeniy Vinogradskiy

Empowering Cancer Care with AI: A Jefferson Medical Student–Led Innovation

Tue, 08 Apr 2025 12:05:54 -0400

I’m excited to share a new collaborative study I had the privilege of co-authoring, which was recently published in Nutrients. Led by Jefferson medical student Julia Logan, this work explores how large language models (LLMs) like ChatGPT and Gemini can deliver accessible, culturally sensitive dietary advice to cancer patients—many of whom lack access to professional nutritional counseling due to insurance limitations or socioeconomic barriers.

AI-Powered Auto-Segmentation in Liver Cancer Therapy

Tue, 08 Apr 2025 11:48:42 -0400

We’re excited to share our latest work published in Technology in Cancer Research & Treatment: “Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy” — a collaboration between Jun Li, Rani Anne, and myself.

This study introduces a deep learning (DL) model built on the 3D U-Net architecture, developed to automatically segment the liver in CT scans for patients undergoing Y-90 Selective Internal Radiation Therapy (SIRT). Accurate liver segmentation is a critical step for calculating Y-90 dosage, traditionally done manually — a time-consuming and subjective process.

The Nexus featured our cardiac PET radiomics study

Thu, 27 Jun 2024 13:38:07 -0400

Jefferson Investigates: Artificial Intelligence and Heart Disease — The Nexus

https://medicalxpress.com/news/2024-06-machine-lung-cancer-scans-heart.html

Shining a Light: Unveiling Cardiac Risks Using PET Imaging in Lung Cancer Radiotherapy

Sun, 14 Apr 2024 16:38:31 -0400

Our study on cardiac toxicity in lung cancer treatment is now featured in a JCO CCI editorial. Discoveries that could change patient care are on the horizon. Stay tuned! #CardiacToxicity #LungCancer #Innovation

Shining a Light: Unveiling Cardiac Risks Using Positron Emission Tomography Imaging in Lung Cancer Radiotherapy

Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients

Sat, 07 Oct 2023 17:35:36 -0400

AAPM 2023, ASTRO 2023

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

Mon, 11 Sep 2023 12:03:17 -0400

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.

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.

2023 Accepted/Invited Annual Meeting abstracts

Mon, 08 May 2023 17:22:21 -0400

AAPM Annual Meeting (Houston, TX • July 23 ‒ 27, 2023)
1. Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
  Wookjin Choi, Yevgeniy Vinogradskiy
  Interactive ePoster Discussions: Sunday, July 23, 2023: 3:00 PM - 3:30 PM, GRBCC, Exhibit Hall | Forum 6
  SU-300-IePD-F6-4 Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
2. Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients
  Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Maria Werner-Wasik, Adam Mueller, and Karen E. Mooney
  PO-GePV-D-50 Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients

Longitudinal CBCT radiomics in Lung Cancer supported by Varian Medical Systems Inc.

Fri, 10 Feb 2023 15:23:27 -0500

Varian will support my research project entitled “Longitudinal CBCT radiomics analysis for lung cancer radiotherapy response and prognosis prediction” with $230,000 over 2 years. This is the first research grant from Varian to the Department of Radiation Oncology, Sidney Kimmel Medical College at Thomas Jefferson University. This project can potentially impact the clinical practice of lung cancer patients by using standard imaging modalities (CBCT and 4D-CBCT) to provide early prediction of prognosis and toxicity.

Artificial Intelligence in Radiation Oncology

Fri, 15 Oct 2021 00:49:35 -0400

Assessing the Dosimetric Links between Organ-At-Risk Delineation Variability and Treatment Planning Variability

Fri, 17 Jul 2020 10:47:16 -0400

The 2020 Joint AAPM | COMP Virtual Meeting
https://w3.aapm.org/meetings/2020AM/programInfo/programAbs.php?sid=8490&aid=52949

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

Thu, 18 Jul 2019 20:09:34 -0400

Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy

Thu, 21 Jun 2018 01:59:26 -0400

Sep 17, 2018

May 21, 2018

Individually Optimized Contrast-Enhanced 4D-CT for Radiotherapy Simulation in Pancreatic Adenocarcinoma

Wed, 21 Sep 2016 09:30:00 -0400

2016 ASTRO annual meeting This poster has been selected for the ARRO poster walk (6 out of 250 physics posters).

http://onlinelibrary.wiley.com/doi/10.1118/1.4963213/full

Current Projects - Sep 13, 2016

Wed, 14 Sep 2016 10:30:00 -0400

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

Fri, 05 Aug 2016 01:29:53 -0400

2016 AAPM annual meeting

http://onlinelibrary.wiley.com/doi/10.1118/1.4955803/abstract

Individually Optimized Contrast-Enhanced 4D-CT for Radiotherapy Simulation in Pancreatic Ductal Adenocarcinoma

Fri, 05 Aug 2016 01:26:35 -0400

2016 AAPM annual meeting

http://scitation.aip.org/content/aapm/journal/medphys/43/6/10.1118/1.4958261

Relationship of Target Volumes for moving target — Medical Physics

Sun, 03 Jul 2016 23:40:43 -0400

Dr. Jin Sung Kim introduced an insightful video clip to give you a better understanding of target volumes for moving target in radiation therapy. This clip visualize a concept of moving target volume which was reported by Wolthaus et al., 2006.

Wolthaus JWH, Schneider C, Sonke JJ et al. Mid-ventilation CT scan construction from four-dimensional respiration-correlated CT scans for radiotherapy planning of lung cancer patients. Int. J. Radiat. Oncol. Biol. Phys.65(5), 1560–1571 (2006)

Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques

Thu, 28 Apr 2016 23:05:45 -0400

Dual energy CT in radiotherapy: Current applications and future outlook

Thu, 28 Apr 2016 23:03:13 -0400

Image processing in lung cancer screening and treatment

Thu, 10 Mar 2016 21:11:35 -0500

Invited talk in GIST, Nov 2014

Quantitative Image Feature Analysis of Multiphase Liver CT for Hepatocellular Carcinoma (HCC) in Radiation Therapy

Tue, 15 Sep 2015 19:58:52 -0400

2015 AAPM annual meeting

Image quality assessment of contrast-enhanced 4D-CT for pancreatic adenocarcinoma in radiotherapy simulation

Tue, 15 Sep 2015 19:57:49 -0400

2015 AAPM annual meeting