Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: September 2019
• Lecturer: Nicolas Grossmann
• Event: Eurographics Workshop on Visual Computing for Biology and Medicine (2019)
• DOI: 10.2312/vcbm.20191233
• Call for Papers: Call for Paper
• Booktitle: Eurographics Workshop on Visual Computing for Biology and Medicine (2019)
• Pages: 69 – 78

Abstract

In radiation therapy, anatomical changes in the patient might lead to deviations between the planned and delivered dose--including inadequate tumor coverage, and overradiation of healthy tissues. Exploring and analyzing anatomical changes throughout the entire treatment period can help clinical researchers to design appropriate treatment strategies, while identifying patients that are more prone to radiation-induced toxicity. We present the Pelvis Runner, a novel application for exploring the variability of segmented pelvic organs in multiple patients, across the entire radiation therapy treatment process. Our application addresses (i) the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. The workflow is based on available retrospective cohort data, which incorporate segmentations of the bladder, the prostate, and the rectum through the entire radiation therapy process. The Pelvis Runner is applied to four usage scenarios, which were conducted with two clinical researchers, i.e., medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment plan adaptation to anatomical changes.

Additional Files and Images

Weblinks

• Entry in the publication database of TU-Wien
• DOI: 10.2312/vcbm.20191233

BibTeX

@inproceedings{raidou_2019_pelvisrunner,
  title =      "Pelvis Runner: Visualizing Pelvic Organ Variability in a
               Cohort of Radiotherapy Patients",
  author =     "Nicolas Grossmann and Oscar Casares-Magaz and Ludvig Paul
               Muren and Vitali Moiseenko and John P. Einck and Eduard
               Gr\"{o}ller and Renata Raidou",
  year =       "2019",
  abstract =   "In radiation therapy, anatomical changes in the patient
               might lead to deviations between the planned and delivered
               dose--including inadequate tumor coverage, and overradiation
               of healthy tissues. Exploring and analyzing anatomical
               changes throughout the entire treatment period can help
               clinical researchers to design appropriate treatment
               strategies, while identifying patients that are more prone
               to radiation-induced toxicity. We present the Pelvis Runner,
               a novel application for exploring the variability of
               segmented pelvic organs in multiple patients, across the
               entire radiation therapy treatment process. Our application
               addresses (i) the global exploration and analysis of pelvic
               organ shape variability in an abstracted tabular view and
               (ii) the local exploration and analysis thereof in
               anatomical 2D/3D views, where comparative and ensemble
               visualizations are integrated. The workflow is based on
               available retrospective cohort data, which incorporate
               segmentations of the bladder, the prostate, and the rectum
               through the entire radiation therapy process. The Pelvis
               Runner is applied to four usage scenarios, which were
               conducted with two clinical researchers, i.e., medical
               physicists. Our application provides clinical researchers
               with promising support in demonstrating the significance of
               treatment plan adaptation to anatomical changes.",
  month =      sep,
  event =      "Eurographics Workshop on Visual Computing for Biology and
               Medicine (2019)",
  doi =        "10.2312/vcbm.20191233",
  booktitle =  "Eurographics Workshop on Visual Computing for Biology and
               Medicine (2019)",
  pages =      "69--78",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/",
}