Abstract Archives of the RSNA, 2014
INS172
Visualizing the Relationships among MRI Protocols and Diseases, Signs and Symptoms Coded by ICD-10 Using Network Analysis
Scientific Posters
Presented on December 4, 2014
Presented as part of INS-THB: Informatics Thursday Poster Discussions
Ayako Yagahara, Presenter: Nothing to Disclose
Shintarou Tsuji, Abstract Co-Author: Nothing to Disclose
Naoki Nishimoto PhD, Abstract Co-Author: Nothing to Disclose
Jyunya Katahata, Abstract Co-Author: Nothing to Disclose
Katsuhiko Ogasawara PhD, MBA, Abstract Co-Author: Research Grant, TSURUHA Holdings Inc
Tomoyasu Tsuzuki, Abstract Co-Author: Nothing to Disclose
MRI examination protocols in varied combinations are decided by patient’s diseases, signs or symptoms. The purpose of our study is to visualize the structure of the relation among patient’s diseases, signs and symptoms and MRI examination protocols.
We acquired 17,154 brain MRI examination application forms in Hokkaido University Hospital (from Jan 2010 to Feb 2013). We coded disease names by ICD (International Statistical Classification of Diseases and Related Health Problems)-10 manually in all forms and extracted 751 forms completed at 1.5 tesla MRI, and described a disease which is coded to “Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified” (ICD-10 R00-R99). Protocols were defined as the combination of MRI protocols and slice orientation (e.g. T1WI Axitial). We applied a network diagram consisted of nodes and links as the method of visualization and structure. Nodes correspond to disease code and protocols, and links were expressed as the relation of them. The network diagram was created by force based algorithm using visualizing software Gephi.
The number of nodes was 93: disease codes were 32 and MRI protocols were 61. That of links was 349. Average protocols per an examination were 4.3. “Headache” (R51), “Dizziness and giddiness” (R42) and Abnormal findings on diagnostic imaging of central nervous system (R90) were more than 100 forms and existed in the center of the network. Lowest frequency diseases such as Nausea and vomiting (R11) tend to spread outward. R51 linked 9 protocols; by contrast R42 and R90 linked more than 20 protocols. In protocols, T1WI, FLAIR, T2WI, DWI axitial were existed the center. Location of nodes in the network and the number of relation to protocols were no relation. The number of the relation was reflected the distance of the links and the relation of all nodes represented by the positional relation in the network diagram.
Network diagram consisted of 93 nodes and 349 links visualized the complex relations among MRI protocols and disease. The strength of relations among nodes were represented by the positional relations.
This study will contribute to assist education and decision making for radiologists and radiologic technologists engaged in MRI examination by simply visualize the complex relations.
Yagahara, A,
Tsuji, S,
Nishimoto, N,
Katahata, J,
Ogasawara, K,
Tsuzuki, T,
Visualizing the Relationships among MRI Protocols and Diseases, Signs and Symptoms Coded by ICD-10 Using Network Analysis. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14000502.html