Jiaxin Huang BA, Presenter: Nothing to Disclose

David A. Bluemke MD, PhD, Abstract Co-Author: Nothing to Disclose

Xiao Zhang PhD, Abstract Co-Author: Nothing to Disclose

Ronald M. Summers MD, PhD, Abstract Co-Author: Royalties, iCAD, Inc Grant, iCAD, Inc Stockholder, Johnson & Johnson Grant, Viatronix, Inc

Les Roger Folio DO, MPH, Abstract Co-Author: Nothing to Disclose

Jianhua Yao PhD, Abstract Co-Author: Royalties, iCAD, Inc

Our integrated database and reporting system provides comprehensive analyses of tumor regression and cumulative reports, overcoming the current limitations of radiology reports, and demonstrates PACS-RIS integration capability.

Tumor growth per unit time post-oncologic treatment is a critical yet under-reported parameter due to challenges in radiology measurement and reporting systems. Our aim was to develop a cross-platform, web accessible, vendor-independent cumulative reporting system to capture tumor velocity measurements appropriate for clinical care.

The ability to assess tumor velocity augments oncologists’ ability to accurately monitor tumor changes. Paired with the other longitudinal analyses of tumor growth and HIS integration capability, this system will improve the overall clinical care for patients.

Our system consists of three components: database, communication, and reporting. The database was created with Filemaker Pro and consists of 7 tables: protocol, patient, study, tumor, measurement, report, and images. Perl scripts, DICOM and HL7 sender and listener make up the communication part. Image studies are exported from PACS and study and patient information are imported into the database. Tumor measurement values obtained from various image processing workstations are entered into the database. Specific queries (e.g. patients with 2 lesions greater than 1.8cm) can be performed. Reports are created, stored in the database, then transformed into suitable forms for integration with PACS (DICOM SR, DICOM encapsulated PDF) and RIS/HIS (RIS text report, HL7 messages). All data and reports are web accessible. User’s access is limited to the data relating to specific protocols.We tested our system on a pancreatic tumor data set with 134 patients, 183 tumors, 356 time points, and 524 measurements. The system plotted the tumor growth per unit time, computed the percent change in tumor size, tumor burden, and doubling time for each patient. It created a cumulative tumor measurement report, which included these analyses and a summary of the patient, study, and tumor information. The transformed HL7 messages were successfully transmitted to other parties.

Huang, J, Bluemke, D, Zhang, X, Summers, R, Folio, L, Yao, J, Assessing Tumor Velocity with a PACS-RIS Integrated Cumulative Reporting System.  Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12030873.html