Literature DB >> 29030284

Structured Reporting in Radiology.

Dhakshinamoorthy Ganeshan1, Phuong-Anh Thi Duong2, Linda Probyn3, Leon Lenchik4, Tatum A McArthur5, Michele Retrouvey6, Emily H Ghobadi7, Stephane L Desouches8, David Pastel9, Isaac R Francis10.   

Abstract

Radiology reports are vital for patient care as referring physicians depend upon them for deciding appropriate patient management. Traditional narrative reports are associated with excessive variability in the language, length, and style, which can minimize report clarity and make it difficult for referring clinicians to identify key information needed for patient care. Structured reporting has been advocated as a potential solution for improving the quality of radiology reports. The Association of University Radiologists-Radiology Research Alliance Structured Reporting Task Force convened to explore the current and future role of structured reporting in radiology and summarized its finding in this article. We review the advantages and disadvantages of structured radiology reports and discuss the current prevailing sentiments among radiologists regarding structured reports. We also discuss the obstacles to the use of structured reports and highlight ways to overcome some of those challenges. We also discuss the future directions in radiology reporting in the era of personalized medicine.
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Radiology; patient care; patient-centered radiology; research; structured reports

Mesh:

Year:  2017        PMID: 29030284     DOI: 10.1016/j.acra.2017.08.005

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  30 in total

1.  Standardized report template for indeterminate renal masses at CT and MRI: a collaborative product of the SAR Disease-Focused Panel on Renal Cell Carcinoma.

Authors:  Matthew S Davenport; Eric M Hu; Andrew Zhang; Atul B Shinagare; Andrew D Smith; Ivan Pedrosa; Samuel D Kaffenberger; Stuart G Silverman
Journal:  Abdom Radiol (NY)       Date:  2019-04

2.  Assessment of Explicitly Stated Interval Change on Noncontrast Head CT Radiology Reports.

Authors:  M Braileanu; K Crawford; S R Key; M E Mullins
Journal:  AJNR Am J Neuroradiol       Date:  2019-05-30       Impact factor: 3.825

3.  Improving the completeness of structured MRI reports for rectal cancer staging.

Authors:  Anna H Zhao; Shanna A Matalon; Atul B Shinagare; Leslie K Lee; Giles W Boland; Ramin Khorasani
Journal:  Abdom Radiol (NY)       Date:  2020-09-19

4.  Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication.

Authors:  Xing Meng; Craig H Ganoe; Ryan T Sieberg; Yvonne Y Cheung; Saeed Hassanpour
Journal:  J Biomed Inform       Date:  2019-04-05       Impact factor: 6.317

5.  Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times.

Authors:  Amar Udare; Minu Agarwal; Kiret Dhindsa; Amer Alaref; Michael Patlas; Abdullah Alabousi; Yoan K Kagoma; Christian B van der Pol
Journal:  J Digit Imaging       Date:  2022-01-10       Impact factor: 4.056

6.  Improving Our Understanding of Indolent Lesions: A New Role for AI.

Authors:  Steven C Horii
Journal:  Radiol Artif Intell       Date:  2022-02-02

Review 7.  [Structured reporting and artificial intelligence].

Authors:  Johann-Martin Hempel; Daniel Pinto Dos Santos
Journal:  Radiologe       Date:  2021-10-04       Impact factor: 0.635

Review 8.  [Basics and applications of Natural Language Processing (NLP) in radiology].

Authors:  F Jungmann; S Kuhn; B Kämpgen
Journal:  Radiologe       Date:  2018-08       Impact factor: 0.635

9.  PI-RADS and Likert scales for structured reporting in multiparametric MR imaging of the prostate.

Authors:  Shivang Desai; Daniel N Costa
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

10.  Structured reporting of brain MRI following mechanical thrombectomy in acute ischemic stroke patients.

Authors:  Sebastian Mönch; Tiberiu Andrisan; Kathleen Bernkopf; Benno Ikenberg; Benjamin Friedrich; Claus Zimmer; Dennis M Hedderich
Journal:  BMC Med Imaging       Date:  2021-05-25       Impact factor: 1.930

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