A novel clinical trials imaging network platform for RECIST 1.1, and related protocols run on standard radiology software: A pilot at multiple oncology centers.

Abstract

e13552 Background: Oncologists face the following challenges with clinical trials imaging analysis: non-structured radiology reports, inconsistent lesion measurement between time points, time-consuming and error-prone manual calculations for clinical trials protocols, and lack of dedicated storage and auditable signoff. Clinical Trials Imaging Network (CTIN) is a novel clinical trials imaging platform that allows radiologists to provide oncologists with dedicated clinical trials imaging reads and calculations from non-proprietary standard radiology dictation and PACS software, using RECIST 1.1 and other tumor response criteria. It was piloted at several cancer centers between 2019 and 2021. Methods: An anonymous survey was sent out to the oncologist and research coordinators who have experience using the CTIN program. The survey was designed to gauge the effectiveness of the software. Questions asked included the decrease in turnaround time between initiation of scan and completion of research protocol calculations, and regarding the decrease in time the oncologists personally need to make calculations. Additionally, respondents were inquired regarding the accuracy of the data, and how much time they had to spend verifying the integrity of the data. Results: The survey was sent to approximately 150 recipients, with 32 respondents. 84.4% of respondents said they strongly agreed or agreed that there was a decreased turnaround time between scan initiation, and completion of research protocol calculations, and 15.6% neither agreed nor disagreed. 80% strongly agreed or agreed that there was a decreased time they personally performed the calculations. 25.0% said they saved less than 5 minutes per time point personally performing the calculations, 28.6% said 5-15 minutes, 23.4% 15 to 30 minutes, and 17.8% 30-60 minutes. Users were also asked regarding their time spend verifying the data. 64.5% of people spent less than 5 minutes per time point verifying the integrity and quality of the data. 19.4% spent 5-15 minutes, 12.9% spent 15-30 minutes, and 3.2% 30-60 minutes. No one spent greater than 60 minutes verifying the data. 65.6% of people strongly agreed that they were confident in the accuracy of the data, 25.0% agreed, and 9.4% neither agreed or disagreed. 90.6% of people said that they were very satisfied or satisfied with CTIN. Conclusions: We have piloted an approach to provide clinical trials imaging metrics to oncologists using non-proprietary technology that runs from any standard radiology voice recognition system and PACS. The majority of respondents agreed that they would recommend this system for its time-saving, automated calculation and ease of use, user features. The CTIN platform bridges the gap between general radiology reads and clinical trials imaging reads without the need for dedicated radiology software.