RSNA 2014 

Abstract Archives of the RSNA, 2014


SSQ11-07

Clinical Trial Management and Analysis Utilizing Multimedia Structured Reporting

Scientific Papers

Presented on December 4, 2014
Presented as part of SSQ11: Informatics (Results and Reporting)

Participants

David Joseph Vining MD, Presenter: Royalties, Bracco Group CEO, VisionSR Stockholder, VisionSR
Andreea Pitici, Abstract Co-Author: Employee, Eloquentix, Inc
Cristian Popovici, Abstract Co-Author: Employee, Eloquentix, Inc
Adrian Prisacariu, Abstract Co-Author: Employee, Eloquentix, Inc
Berhan Pirimoglu MD, Abstract Co-Author: Nothing to Disclose
Radu Rosu, Abstract Co-Author: CEO, Eloquentix, Inc

CONCLUSION

Multimedia structured reporting provides a means to automate and imrove the efficiency of clinical trial management and analysis.

BACKGROUND

Clinical trials are dependent upon radiologists for efficient tumor assessment. We have developed a multimedia structured reporting system that facilitates this task by aggregating structured data from cohorts to automate the management and analysis of clinical trial data.

EVALUATION

We developed a structured reporting system that captures key images, metrics and voice descriptions during a radiologist's interpretative session of oncological studies using any vendor's image display system, and  then assembles the data in a multimedia structured report.  Our software provides a means to link image findings from serial examinations to generate graphical disease timelines which show progression of disease at individual anatomical sites. Specific image findings can be designated as “target lesions” from which the calculation of the response criteria can be performed, such as that prescribed by the Response Evaluation Criteria in Solid Tumors (RECIST). Our system then aggregates structured data from cohorts in real-time to automate the managment and analysis of clinical trial data, including the generation of Waterfall plots, Progression Free Survival (PFS) and Overall Survival (OS) rates, Kaplan-Meier survival curves.

DISCUSSION

Improving the efficiency of clinical trials could signficantly reduce the costs associated with developing new therapies. We have created a multimedia structured reporting solution that is capable of aggregating structured data from cohorts of patients in order to achieve this aim.

Cite This Abstract

Vining, D, Pitici, A, Popovici, C, Prisacariu, A, Pirimoglu, B, Rosu, R, Clinical Trial Management and Analysis Utilizing Multimedia Structured Reporting.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14018706.html