David Joseph Vining MD, Presenter: Royalties, Bracco Group CEO, VisionSR Stockholder, VisionSR

Thomas Yang MD, Abstract Co-Author: Nothing to Disclose

Usama Ibrahim Salem MBBCh, MSC, Abstract Co-Author: Nothing to Disclose

Andreea Pitici, Abstract Co-Author: Employee, Eloquentix

Cristian Popovici, Abstract Co-Author: Employee, Eloquentix

Adrian Prisacariu, Abstract Co-Author: Employee, Eloquentix, Inc

Iulian Aghenitei, Abstract Co-Author: Employee, Eloquentix

Mihai Jurca, Abstract Co-Author: Nothing to Disclose

Radu Rosu, Abstract Co-Author: CEO, Eloquentix

The practice of radiology is undergoing a transition from narrative reporting to structured reporting. We have developed a unique structured reporting solution that has been modified for use in reporting CTC examinations. A benefit of structured data output is that it can facilitate data entry into national data registries such as the ACR's CTC Data Registry.

Standardized reporting of CT Colonography (CTC) results is essential for the effective communication of diagnostic results and to support the American College of Radiology's (ACR) CTC Data Registry. Various image display and manipulation systems exist for analyzing CTC image data, but apart from coding the results of these examinations with C-RADS criteria, no standardized reporting method exists today. We present a multimedia structured reporting solution, called ViSion, which it is applicable to CTC and can be used to facilitate data entry into the ACR's CTC Data Registry.

We developed a multimedia structured reporting solution, called ViSion, which performs screen captures from any CTC image processing system and tags those key images with metadata describing anatomical locations, radiologic observations, and disease metrics. The ViSion software runs in parallel with the CTC program to perform screen captures of the 3D rendered images and to record the radiologist's voice descriptions of the image findings. The screen capture and voice data are uploaded to a cloud-based server where it was processed to extract metadata from the voice descriptions to tag the key images in a database. The ViSion system organizes the findings onto a graphic of a patient illustrating where particularly lesions were found in relation to the patient's anatomy. We have modified the output of the ViSion reporting system to facilitate the automatic uploading of structured data into the ACR’s CTC Data Registry.

We applied the use of ViSion to 75 CTC cases performed at our institution to generate structured reports that were then used to upload data into the ACR’s CTC Data Registry.

Vining, D, Yang, T, Salem, U, Pitici, A, Popovici, C, Prisacariu, A, Aghenitei, I, Jurca, M, Rosu, R, Application of ViSion Structured Reporting for C-RADS Reporting of CT Colonography Examinations.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13028417.html