Learning objectives
Learn about the various RADS reporting schema (e.g.,
BI-RADS,
Lung-RADS,
etc.) for screening examinations
Understand the differences between each schema
Learn how the RADS assessment categories can be calculated using structured report data
Background
The RADS structured reporting schema are designed to improve the content and clarity of radiology reports for the communication of screening examinations.
With the success of BI-RADS for mammography reporting,
there has been a proliferation of other schema for early cancer detection as well as non-cancer related applications including (1-9):
Lung-RADS (Lung cancer)
PI-RADS (Prostate cancer)
C-RADS (Colon cancer)
LI-RADS (Liver cancer)
NI-RADS (Head/neck cancer)
TI-RADS (Thyroid cancer)
GI-RADS (Ovarian pathologies)
CAD-RADS (Coronary stenosis)
However,
it is often difficult for radiologists to recall the details...
Findings and procedure details
We developed a structured reporting solution that works in the following manner:
Records key images and a radiologist’s verbal descriptions of image findings (Figure 3).
Tags the findings in a database with metadata describing the anatomical locations,
radiological diagnoses,
and common data elements using natural language processing (NLP) (Figure 4).
Assembles a multimedia report (Figure 5).
When a particular finding is identified (e.g.,
lung nodule),
the system prompts the radiologist to dictate salient disease features using displays of common data elements (CDEs) (10).As the features...
Conclusion
Structured reporting employing common data elements and natural language processing provides a means to assist radiologists in describing essential information about a particular disease,
and when applicable,
automatically determine the appropriate RADS assessment categories for inclusion in a radiology report.
References
Spak DA,
Plaxco JS,
Santiago L,
et.
al.
BI-RADS® fifth edition: A summary of changes.
Diagn Interv Imaging 2017;98:179-190.
Pinsky PF,
Gierada DS,
Black W,
et.
al.
Performance of Lung-RADS in the National Lung Screening Trial: a retrospective assessment.
Ann Intern Med 2015;162:485-491.
Mitchell DG,
Bruix J,
Sherman M,
Sirlin CB.
LI-RADS (Liver Imaging Reporting and Data System): summary,
discussion,
and consensus of the LI-RADS Management Working Group and future directions.
Hepatology 2015;61:1056-1065.
Tessler FN,
Middleton WD,
Grant EG,
et.
al.
ACR Thyroid Imaging,
Reporting...