Literature DB >> 35782234

Structured bone marrow report as an assessment tool in patients with hematopoietic disorders.

Mercedes Roca-Espiau1,2, Esther Valero-Tena2,3, Maria Jose Ereño-Ealo4, Pilar Giraldo2,5.   

Abstract

Background: There are multiple hematological and other entities (metastases, infections) that can affect the bone marrow (BM). The gold standard imaging technique for BM examination is magnetic resonance imaging (MRI). Technological advances have made it possible to digitalize image files and create applications that help to produce higher quality structured reports, facilitating the analysis of data and unifying the criteria collected, making it possible to fill an existing gap. The aim of this study is to present a structured report model applicable to BM studies by MRI.
Methods: We have carried out a systematic review following the recommendations of the PRISMA checklist report to explore previous publications applying structured BM MRI reporting. Eligibility criteria: the selection of articles carried out by MeSH thesaurus. Original or review articles of BM pathology assessed by MRI. Our group with a wide experience in the evaluation of BM by MRI have designed a model for BM report using eight items: demographic data, diagnostic suspicion, technical data, type of exam initial or control, distribution and patterns involvement, complications and location, total assessment comments.
Results: We have not found articles that reflect the existence of a structured report of BM examination by MRI. Only one descriptive article has been identified on guidelines for acquisition, interpretation and reporting which refers to a single entity. With the selected parameters, a software has been developed that allows to fill in the sections of the structured report with ease and immediacy and to send the result directly to the clinician. Discussion: Structured reports are the result of applying a logical structure to the radiological report, and the rules of elaboration comprise several criteria: (I) using a uniform language. The standardization of terminology avoids ambiguity in reporting and makes it easier to compare reports. (II) Accurately describe the radiological findings, following a prescribed order with review questions and answers. (III) Drafting using diagnostic screening tables. (IV) Respect the radiologists' workflow by facilitating the work and not hindering it. The final report of this work has been the product of the clinical-radiological collaboration in our working group. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Template report; bone marrow patterns; magnetic resonance imaging (MRI); structured form

Year:  2022        PMID: 35782234      PMCID: PMC9246758          DOI: 10.21037/qims-21-1191

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  28 in total

1.  Structured Reporting and Communication.

Authors:  Giles W Boland; Richard Duszak
Journal:  J Am Coll Radiol       Date:  2015-09-28       Impact factor: 5.532

2.  Creating and curating a terminology for radiology: ontology modeling and analysis.

Authors:  Daniel L Rubin
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

3.  The PRISMA 2020 statement: An updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  J Clin Epidemiol       Date:  2021-03-29       Impact factor: 6.437

4.  Whole body MRI in type I Gaucher patients: evaluation of skeletal involvement.

Authors:  Ludger W Poll; Marie-Louise Cox; Erhard Godehardt; Verena Steinhof; Stephan vom Dahl
Journal:  Blood Cells Mol Dis       Date:  2010-11-05       Impact factor: 3.039

Review 5.  Imaging and quantifying skeletal involvement in Gaucher disease.

Authors:  M Maas; L W Poll; M R Terk
Journal:  Br J Radiol       Date:  2002       Impact factor: 3.039

6.  Impact of a Structured Report Template on the Quality of CT and MRI Reports for Hepatocellular Carcinoma Diagnosis.

Authors:  Milana Flusberg; Jeremy Ganeles; Tulay Ekinci; Shlomit Goldberg-Stein; Viktoriya Paroder; Mariya Kobi; Victoria Chernyak
Journal:  J Am Coll Radiol       Date:  2017-05-06       Impact factor: 5.532

7.  S-MRI score: A simple method for assessing bone marrow involvement in Gaucher disease.

Authors:  M Roca; J Mota; P Alfonso; M Pocoví; P Giraldo
Journal:  Eur J Radiol       Date:  2006-12-11       Impact factor: 3.528

8.  Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies.

Authors:  José Verdú-Díaz; Jorge Alonso-Pérez; Claudia Nuñez-Peralta; Giorgio Tasca; John Vissing; Volker Straub; Roberto Fernández-Torrón; Jaume Llauger; Isabel Illa; Jordi Díaz-Manera
Journal:  Neurology       Date:  2020-02-06       Impact factor: 9.910

9.  Chest CT in COVID-19 at the ED: Validation of the COVID-19 Reporting and Data System (CO-RADS) and CT severity score.

Authors:  Arthur W E Lieveld; Kaoutar Azijli; Bernd P Teunissen; Rutger M van Haaften; Ruud S Kootte; Inge A H van den Berk; Sabine F B van der Horst; Carlijn de Gans; Peter M van de Ven; Prabath W B Nanayakkara
Journal:  Chest       Date:  2020-11-30       Impact factor: 9.410

10.  Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS).

Authors:  Christina Messiou; Jens Hillengass; Stefan Delorme; Frédéric E Lecouvet; Lia A Moulopoulos; David J Collins; Matthew D Blackledge; Niels Abildgaard; Brian Østergaard; Heinz-Peter Schlemmer; Ola Landgren; Jon Thor Asmussen; Martin F Kaiser; Anwar Padhani
Journal:  Radiology       Date:  2019-02-26       Impact factor: 11.105

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