Abstract:
RATIONALE AND OBJECTIVES:Our primary aim was to improve radiology reports by increasing concordance of target lesion measurements with oncology records using radiology preprocessors (RP). Faster notification of incidental actionable findings to referring clinicians and clinical radiologist exam interpretation time savings with RPs quantifying tumor burden were also assessed. MATERIALS AND METHODS:In this prospective quality improvement initiative, RPs annotated lesions before radiologist interpretation of CT exams. Clinical radiologists then hyperlinked approved measurements into interactive reports during interpretations. RPs evaluated concordance with our tumor measurement radiologist, the determinant of tumor burden. Actionable finding detection and notification times were also deduced. Clinical radiologist interpretation times were calculated from established average CT chest, abdomen, and pelvis interpretation times. RESULTS:RPs assessed 1287 body CT exams with 812 follow-up CT chest, abdomen, and pelvis studies; 95 (11.7%) of which had 241 verified target lesions. There was improved concordance (67.8% vs. 22.5%) of target lesion measurements. RPs detected 93.1% incidental actionable findings with faster clinician notification by a median time of 1 hour (range: 15 minutes-16 hours). Radiologist exam interpretation times decreased by 37%. CONCLUSIONS:This workflow resulted in three-fold improved target lesion measurement concordance with oncology records, earlier detection and faster notification of incidental actionable findings to referring clinicians, and decreased exam interpretation times for clinical radiologists. These findings demonstrate potential roles for automation (such as AI) to improve report value, worklist prioritization, and patient care.
journal_name
Acad Radioljournal_title
Academic radiologyauthors
Do HM,Spear LG,Nikpanah M,Mirmomen SM,Machado LB,Toscano AP,Turkbey B,Bagheri MH,Gulley JL,Folio LRdoi
10.1016/j.acra.2019.09.014subject
Has Abstractpub_date
2020-01-01 00:00:00pages
96-105issue
1eissn
1076-6332issn
1878-4046pii
S1076-6332(19)30447-7journal_volume
27pub_type
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