Multi-institutional analysis of CT and MRI reports evaluating indeterminate renal masses: comparison to a national survey investigating desired report elements

To determine the need for a standardized renal mass reporting template by analyzing reports of indeterminate renal masses and comparing their contents to stated preferences of radiologists and urologists.

The host IRB waived regulatory oversight for this multi-institutional HIPAA-compliant quality improvement effort. CT and MRI reports created to characterize an indeterminate renal mass were analyzed from 6 community (median: 17 reports/site) and 6 academic (median: 23 reports/site) United States practices. Report contents were compared to a published national survey of stated preferences by academic radiologists and urologists from 9 institutions. Descriptive statistics and Chi-square tests were calculated.

Of 319 reports, 85% (271; 192 CT, 79 MRI) reported a possibly malignant mass (236 solid, 35 cystic). Some essential elements were commonly described: size (99% [269/271]), mass type (solid vs. cystic; 99% [268/271]), enhancement (presence vs. absence; 92% [248/271]). Other essential elements had incomplete penetrance: the presence or absence of fat in solid masses (14% [34/236]), size comparisons when available (79% [111/140]), Bosniak classification for cystic masses (54% [19/35]). Preferred but non-essential elements generally were described in less than half of reports. Nephrometry scores usually were not included for local therapy candidates (12% [30/257]). Academic practices were significantly more likely than community practices to include mass characterization details, probability of malignancy, and staging. Community practices were significantly more likely to include management recommendations.

Renal mass reporting elements considered essential or preferred often are omitted in radiology reports. Variation exists across radiologists and practice settings. A standardized template may mitigate these inconsistencies.

Abdominal radiology (New York). 2018 Apr 17 [Epub ahead of print]

Eric M Hu, Andrew Zhang, Stuart G Silverman, Ivan M Pedrosa, Zhen J Wang, Andrew D Smith, Hersh Chandarana, Ankur Doshi, Atul B Shinagare, Erick M Remer, Samuel D Kaffenberger, David C Miller, Matthew S Davenport

Michigan Medicine, Ann Arbor, MI, USA., Brigham and Women's, Boston, MA, USA., UT Southwestern, Dallas, TX, USA., UCSF, San Francisco, CA, USA., UAB, Birmingham, AL, USA., NYU, New York, NY, USA., Cleveland Clinic, Cleveland, OH, USA., Michigan Medicine, Ann Arbor, MI, USA. .