Literature DB >> 28952814

Do MRI Structured Reports for Multiple Sclerosis Contain Adequate Information for Clinical Decision Making?

Francesco Alessandrino1,2, Anna Pichiecchio1, Giulia Mallucci3, Emanuele Ghione1, Alfredo Romani3, Roberto Bergamaschi3, Stefano Bastianello1,4.   

Abstract

OBJECTIVE: Few data are available on how often MRI reports provide sufficient information for clinical decision making in patients with multiple sclerosis (MS). The aim of this study is to evaluate if structured reporting of MRI in MS contain adequate information for clinical decision making compared with nonstructured reporting.
MATERIALS AND METHODS: Brain and spinal cord MRI reports of patients with suspected or known MS before and after implementation of a structured reporting template were included. Brain and spinal cord MRI reports were assessed for presence of 11 and three key features relevant for management of MS, respectively. Three neurologists evaluated reports and images to assess lesion load, presence of sufficient information for clinical decision making, and necessity to review MR images for clinical decision making. Statistical analysis included t tests and chi-square tests.
RESULTS: Thirty-two structured and 37 nonstructured reports were reviewed. Brain MRI nonstructured reports contained a mean ± SD of 3.59 ± 0.76 key features, and structured reports contained a mean of 10.25 ± 1.32 key features (p < 0.001). No significant difference was observed in the number of key features in nonstructured and structured spinal cord MRI reports. All neurologists could understand lesion load significantly more often when reading structured versus nonstructured reports (p < 0.001). For two of the three neurologists, structured reports contained adequate information for clinical decision making more often than did nonstructured reports (p < 0.001 and p = 0.006). When reading nonstructured reports, two of the three neurologists needed to evaluate images significantly more often (p < 0.001).
CONCLUSION: Structured reports of MRI in patients with MS provided more adequate information for clinical decision making than nonstructured reports.

Entities:  

Keywords:  MRI; multiple sclerosis; structured reporting

Mesh:

Year:  2017        PMID: 28952814     DOI: 10.2214/AJR.17.18451

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Value of structured reporting in neuromuscular disorders.

Authors:  Francesco Alessandrino; Lara Cristiano; Claudia Maria Cinnante; Tommaso Tartaglione; Simonetta Gerevini; Tommaso Verdolotti; Giovanna Stefania Colafati; Emanuele Ghione; Raimondo Vitale; Lorenzo Peverelli; Claudia Brogna; Angela Berardinelli; Maurizio Moggio; Eugenio M Mercuri; Anna Pichiecchio
Journal:  Radiol Med       Date:  2019-03-09       Impact factor: 3.469

2.  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

Review 3.  Multiple Sclerosis: Systemic Challenges to Cost-Effective Care.

Authors:  David R Weinstein; Gary M Owens; Ankit Gandhi
Journal:  Am Health Drug Benefits       Date:  2022-03

4.  Reproducibility of Lesion Count in Various Subregions on MRI Scans in Multiple Sclerosis.

Authors:  Bence Bozsik; Eszter Tóth; Ilona Polyák; Fanni Kerekes; Nikoletta Szabó; Krisztina Bencsik; Péter Klivényi; Zsigmond Tamás Kincses
Journal:  Front Neurol       Date:  2022-05-10       Impact factor: 4.086

5.  Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma.

Authors:  Franziska Schoeppe; Wieland H Sommer; Dominik Nörenberg; Mareike Verbeek; Christian Bogner; C Benedikt Westphalen; Martin Dreyling; Ernst J Rummeny; Alexander A Fingerle
Journal:  Eur Radiol       Date:  2018-03-29       Impact factor: 5.315

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.