Highlights
- •Disease-specific template can improve the completeness of HRCT radiology reports in evaluating interstitial lung disease.
- •Multiple factors contribute to radiologists' reluctance to adopting structured reporting.
- •More research on how to improve the voluntary uptake of a disease-specific template is needed.
Abstract
Purpose
This QI study compared the completeness of HRCT radiology reports before and after
the implementation of a disease-specific structured reporting template for suspected
cases of interstitial lung disease (ILD).
Materials and methods
A pre-post study of radiology reports for HRCT of the thorax at a multicenter health
system was performed. Data was collected in 6-month period intervals before (June
2019–November 2019) and after (January 2021–June 2021) the implementation of a disease-specific
template. The use of the template was voluntary. The primary outcome measure was the
completeness of HRCT reports graded based on the documentation of ten descriptors.
The secondary outcome measure assessed which descriptor(s) improved after the intervention.
Results
521 HRCT reports before and 557 HRCT reports after the intervention were reviewed.
Of the 557 reports, 118 reports (21%) were created using the structured reporting
template. The mean completeness score of the pre-intervention group was 9.20 (SD = 1.08) and the post-intervention group was 9.36 (SD = 1.03) with a difference of −0.155, 95% CI [−0.2822, −0.0285, p < 0.0001]. Within the post-intervention group, the mean completeness score of the
unstructured reports was 9.25 (SD = 1.07) and the template reports was 9.93 (SD = 0.25) with a difference of −0.677, 95% CI [−0.7871, −0.5671, p < 0.0001]. After the intervention, the use of two descriptors improved significantly:
presence of honeycombing from 78.3% to 85.1% (p < 0.0039) and technique from 90% to 96.6% (p < 0.0001).
Discussion
Shifting to disease-specific structured reporting for HRCT exams of suspected ILD
is beneficial, as it improves the completeness of radiology reports. Further research
on how to improve the voluntary uptake of a disease-specific template is needed to
help increase the acceptance of structured reporting among radiologists.
Keywords
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References
- Impact of a structured report template on the quality of MRI reports for rectal cancer staging.AJR Am J Roentgenol. 2015; 205: 584-588https://doi.org/10.2214/AJR.14.14053
- Efficacy of a checklist-style structured radiology reporting template in reducing resident misses on cervical spine computed tomography examinations.J Digit Imaging. 2014; 27: 588-593
- Radiology reports: examining radiologist and clinician preferences regarding style and content.AJR Am J Roentgenol. 2001; 176: 591-598https://doi.org/10.2214/ajr.176.3.1760591
- The ACR BI-RADS experience: learning from history.J Am Coll Radiol. 2009; 6: 851-860https://doi.org/10.1016/j.jacr.2009.07.023
- Performance of ACR lung-RADS in a clinical CT lung screening program.J Am Coll Radiol. 2015; 12: 273-276https://doi.org/10.1016/j.jacr.2014.08.004
- Structured reporting platform improves CAD-RADS assessment.J Cardiovasc Comput Tomogr. 2017; 11: 449-454https://doi.org/10.1016/j.jcct.2017.09.008
- Improved quality of thyroid ultrasound reports after implementation of the ACR thyroid imaging reporting and data system nodule lexicon and risk stratification system.J Am Coll Radiol. 2018; 15: 743-748https://doi.org/10.1016/j.jacr.2018.01.024
- Diagnosis of idiopathic pulmonary fibrosis. An official ATS/ERS/JRS/ALAT clinical practice guideline.Am J Respir Crit Care Med. 2018; 198: e44-e68https://doi.org/10.1164/rccm.201807-1255ST
- Diagnostic criteria for idiopathic pulmonary fibrosis: a Fleischner society white paper.Lancet Respir Med. 2018; 6: 138-153https://doi.org/10.1016/S2213-2600(17)30433-2
- Practical imaging interpretation in patients suspected of having idiopathic pulmonary fibrosis: official recommendations from the radiology working Group of the Pulmonary Fibrosis Foundation.Radiol cardiothoracImaging. 2021; 3 (Published 2021 Feb 25)e200279https://doi.org/10.1148/ryct.2021200279
- A phase 3 trial of pirfenidone in patients with idiopathic pulmonary fibrosis [published correction appears in N Engl J Med. 2014 Sep 18;371(12):1172].N Engl J Med. 2014; 370: 2083-2092https://doi.org/10.1056/NEJMoa1402582
- Efficacy and safety of nintedanib in patients with advanced idiopathic pulmonary fibrosis.BMC Pulm Med. 2020; 20 (Published 2020 Jan 8): 3https://doi.org/10.1186/s12890-019-1030-4
- Redefining the structure of structured reporting in radiology.Insights Imaging. 2020; 11 (Published 2020 Feb 4): 10https://doi.org/10.1186/s13244-019-0831-6
- Six characteristics of effective structured reporting and the inevitable integration with speech recognition.J Digit Imaging. 2006; 19: 98-104https://doi.org/10.1007/s10278-005-8734-0
- AI-driven tools for coronavirus outbreak: need of active learning and cross-population train/test models on Multitudinal/Multimodal data.J Med Syst. 2020; 44 (Published 2020 Mar 18): 93https://doi.org/10.1007/s10916-020-01562-1
- Deep neural network to detect COVID-19: one architecture for both CT scans and chest X-rays.Appl Intell (Dordr). 2021; 51: 2777-2789https://doi.org/10.1007/s10489-020-01943-6
- Covid-19 imaging tools: how big data is big?.J Med Syst. 2021; 45 (Published 2021 Jun 3): 71https://doi.org/10.1007/s10916-021-01747-2
- Introducing ILD-RADS: a pilot study of an interstitial lung disease standardized reporting template.J Am Coll Radiol. 2019; 16: 1169-1172https://doi.org/10.1016/j.jacr.2019.02.032
- Structured reporting in radiology.Acad Radiol. 2018; 25: 66-73https://doi.org/10.1016/j.acra.2017.08.005
- Efficacy of a checklist-style structured radiology reporting template in reducing resident misses on cervical spine computed tomography examinations.J Digit Imaging. 2014; 27: 588-593
- Improving communication of diagnostic radiology findings through structured reporting.Radiology. 2011; 260: 174-181
- Cognitive and system factors contributing to diagnostic errors in radiology.AJR Am J Roentgenol. 2013; 201: 611-617
- Structured reporting: patient care enhancement or productivity nightmare.Radiology. 2008; 249: 739-747https://doi.org/10.1148/radiol.2493080988
- Structured reporting: if, why, when, how-and at what expense? Results of a focus group meeting of radiology professionals from eight countries.Insights Imaging. 2012; 3: 295-302https://doi.org/10.1007/s13244-012-0148-1
- State of structured reporting in radiology, a survey.Acad Radiol. 2015; 22: 226-233https://doi.org/10.1016/j.acra.2014.08.014
- The radiology report of the future.Radiology. 2009; 251: 313-316
- Reimbursement Benefits of Structured Radiology Reporting.2016 (Retrieved January 8, 2023)
Article info
Publication history
Published online: March 06, 2023
Accepted:
March 1,
2023
Received in revised form:
February 26,
2023
Received:
September 22,
2022
Identification
Copyright
Published by Elsevier Inc.
