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Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography

  • Di Sun
  • , Lubomir Hadjiiski
  • , Rohan Garje
  • , Yousef Zakharia
  • , Lauren Pomerantz
  • , Monika Joshi
  • , Ajjai Alva
  • , Heang Ping Chan
  • , Richard H. Cohan
  • , Elaine M. Caoili
  • , Kenny H. Cha
  • , Galina Kirova-Nedyalkova
  • , Matthew S. Davenport
  • , Prasad R. Shankar
  • , Isaac R. Francis
  • , Kimberly Shampain
  • , Nathaniel Meyer
  • , Daniel Barkmeier
  • , Sean Woolen
  • , Phillip L. Palmbos
  • Alon Z. Weizer, Ravi K. Samala, Chuan Zhou, Martha Matuszak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have previously developed a computerized decision support system for bladder cancer treatment response assessment (CDSS-T) in CT urography (CTU). In this work, we conducted an observer study to evaluate the diagnostic accuracy and intra-observer variability with and without the CDSS-T system. One hundred fifty-seven pre-and posttreatment lesion pairs were identified in pre-and post-chemotherapy CTU scans of 123 patients. Forty lesion pairs had T0 stage (complete response) after chemotherapy. Multi-disciplinary observers from 4 different institutions participated in reading the lesion pairs, including 5 abdominal radiologists, 4 radiology residents, 5 oncologists, 1 urologist, and 1 medical student. Each observer provided estimates of the T0 likelihood after treatment without and then with the CDSST aid for each lesion. To assess the intra-observer variability, 51 cases were evaluated two times-the original and the repeated evaluation. The average area under the curve (AUC) of 16 observers for estimation of T0 disease after treatment increased from 0.73 without CDSS-T to 0.77 with CDSS-T (p = 0.003). For the evaluation with CDSS-T, the average AUC performance for different institutions was similar. The performance with CDSS-T was improved significantly and the AUC standard deviations were slightly smaller showing potential trend of more accurate and uniform performance with CDSS-T. There was no significant difference between the original and repeated evaluation. This study demonstrated that our CDSS-T system has the potential to improve treatment response assessment of physicians from different specialties and institutions, and reduce the inter-and intra-observer variabilities of the assessments.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2022
Subtitle of host publicationComputer-Aided Diagnosis
EditorsKaren Drukker, Khan M. Iftekharuddin
PublisherSPIE
ISBN (Electronic)9781510649415
DOIs
StatePublished - 2022
EventMedical Imaging 2022: Computer-Aided Diagnosis - Virtual, Online
Duration: Mar 21 2022Mar 27 2022

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12033
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2022: Computer-Aided Diagnosis
CityVirtual, Online
Period3/21/223/27/22

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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