| Literature DB >> 27832518 |
Mindy Y Licurse1, Darco Lalevic2, Hanna M Zafar2,3, Mitchell D Schnall2,3, Tessa S Cook2.
Abstract
An automated radiology recommendation-tracking engine for incidental focal masses in the liver, pancreas, kidneys, and adrenal glands was launched within our institution in July 2013. For 2 years, the majority of CT, MR, and US examination reports generated within our health system were mined by the engine. However, the need to expand the system beyond the initial four organs was soon identified. In July 2015, the second phase of the system was implemented and expanded to include additional anatomic structures in the abdomen and pelvis, as well as to provide non-radiology and non-imaging options for follow-up. The most frequent organs with incidental findings, outside of the original four, included the ovaries and the endometrium, which also correlated to the most frequently ordered imaging follow-up study of pelvic ultrasound and non-imaging follow-up study of endometrial biopsies, respectively. The second phase expansion has demonstrated new venues for augmenting and improving radiologist roles in optimal communication and management of incidental findings.Entities:
Keywords: Cancer detection; Communication; Data mining; Imaging informatics
Mesh:
Year: 2017 PMID: 27832518 PMCID: PMC5359201 DOI: 10.1007/s10278-016-9912-y
Source DB: PubMed Journal: J Digit Imaging ISSN: 0897-1889 Impact factor: 4.056