Literature DB >> 30661977

Institutional Implementation of a Structured Reporting System: Our Experience with the Brain Tumor Reporting and Data System.

Ashwani Gore1, Michael J Hoch1, Hui-Kuo G Shu2, Jeffrey J Olson3, Alfredo D Voloschin4, Brent D Weinberg5.   

Abstract

RATIONALE AND
OBJECTIVES: Analyze the impact of implementing a structured reporting system for primary brain tumors, the Brain Tumor Reporting and Data System, on attitudes toward radiology reports at a single institution.
MATERIALS AND METHODS: Following Institutional Review Board approval, an initial 22 question, 5 point (1-worst to 5-best), survey was sent to faculty members, house staff members, and nonphysician providers at our institution who participate in the direct care of brain tumor patients. Results were used to develop a structured reporting strategy for brain tumors which was implemented across an entire neuroradiology section in a staged approach. Nine months following structured reporting implementation, a follow-up 27 question survey was sent to the same group of providers. Keyword search of radiology reports was used to assess usage of Brain Tumor Reporting and Data System over time.
RESULTS: Fifty-three brain tumor care providers responded to the initial survey and 38 to the follow-up survey. After implementing BT-RADS, respondents reported improved attitudes across multiple areas including: report consistency (4.3 vs. 3.4; p < 0.001), report ambiguity (4.2 vs. 3.2, p < 0.001), radiologist/physician communication (4.5 vs. 3.8; p < 0.001), facilitation of patient management (4.2 vs. 3.6; p = 0.003), and confidence in reports (4.3 vs. 3.5; p < 0.001). Providers were more satisfied with the BT-RADS structured reporting system (4.3 vs. 3.7; p = 0.04). Use of the reporting template progressively increased with 81% of brain tumor reports dictated using the new template by 9 months.
CONCLUSION: Implementing a structured template for brain tumor imaging improves perception of radiology reports among radiologists and referring providers involved in the care of brain tumor patients.
Copyright © 2019 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain tumor; Glioblastoma; Patient care; Response criteria; Structured template

Mesh:

Year:  2019        PMID: 30661977     DOI: 10.1016/j.acra.2018.12.023

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


  8 in total

1.  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

2.  A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports.

Authors:  Scott J Lee; Brent D Weinberg; Ashwani Gore; Imon Banerjee
Journal:  J Digit Imaging       Date:  2020-12       Impact factor: 4.056

3.  Adding DSC PWI and DWI to BT-RADS can help identify postoperative recurrence in patients with high-grade gliomas.

Authors:  Yuelong Yang; Yunjun Yang; Xiaoling Wu; Yi Pan; Dong Zhou; Hongdan Zhang; Yonglu Chen; Jiayun Zhao; Zihua Mo; Biao Huang
Journal:  J Neurooncol       Date:  2020-01-04       Impact factor: 4.130

Review 4.  Structured reporting in radiology: a systematic review to explore its potential.

Authors:  J Martijn Nobel; Koos van Geel; Simon G F Robben
Journal:  Eur Radiol       Date:  2021-10-15       Impact factor: 7.034

5.  Final Report on Clinical Outcomes and Tumor Recurrence Patterns of a Pilot Study Assessing Efficacy of Belinostat (PXD-101) with Chemoradiation for Newly Diagnosed Glioblastoma.

Authors:  Karen Xu; Karthik Ramesh; Vicki Huang; Saumya S Gurbani; James Scott Cordova; Eduard Schreibmann; Brent D Weinberg; Soma Sengupta; Alfredo D Voloschin; Matthias Holdhoff; Peter B Barker; Lawrence R Kleinberg; Jeffrey J Olson; Hui-Kuo G Shu; Hyunsuk Shim
Journal:  Tomography       Date:  2022-03-03

6.  A multi-institutional pilot clinical trial of spectroscopic MRI-guided radiation dose escalation for newly diagnosed glioblastoma.

Authors:  Karthik Ramesh; Eric A Mellon; Saumya S Gurbani; Brent D Weinberg; Eduard Schreibmann; Sulaiman A Sheriff; Mohammed Goryawala; Macarena de le Fuente; Bree R Eaton; Jim Zhong; Alfredo D Voloschin; Soma Sengupta; Erin M Dunbar; Matthias Holdhoff; Peter B Barker; Andrew A Maudsley; Lawrence R Kleinberg; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurooncol Adv       Date:  2022-01-27

7.  [MRI reporting of gliomas : What neuro-oncology clinicians expect from radiologists].

Authors:  Torge Huckhagel; Christian Riedel
Journal:  Radiologie (Heidelb)       Date:  2022-05-25

8.  The Longitudinal Imaging Tracker (BrICS-LIT):A Cloud Platform for Monitoring Treatment Response in Glioblastoma Patients.

Authors:  Karthik Ramesh; Saumya S Gurbani; Eric A Mellon; Vicki Huang; Mohammed Goryawala; Peter B Barker; Lawrence Kleinberg; Hui-Kuo G Shu; Hyunsuk Shim; Brent D Weinberg
Journal:  Tomography       Date:  2020-06
  8 in total

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