Automated Color-Coding of Lesion Changes in Contrast-Enhanced 3D T1-Weighted Sequences for MRI Follow-up of Brain Metastases.

Brain Neoplasms / diagnostic imaging Contrast Media Follow-Up Studies Humans Magnetic Resonance Imaging / methods Retrospective Studies

Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
02 2022
Historique:
received: 11 04 2021
accepted: 06 10 2021
pubmed: 8 1 2022
medline: 11 3 2022
entrez: 7 1 2022
Statut: ppublish

Résumé

MR imaging is the technique of choice for follow-up of patients with brain metastases, yet the radiologic assessment is often tedious and error-prone, especially in examinations with multiple metastases or subtle changes. This study aimed to determine whether using automated color-coding improves the radiologic assessment of brain metastases compared with conventional reading. One hundred twenty-one pairs of follow-up examinations of patients with brain metastases were assessed. Two radiologists determined the presence of progression, regression, mixed changes, or stable disease between the follow-up examinations and indicated subjective diagnostic certainty regarding their decisions in a conventional reading and a second reading using automated color-coding after an interval of 8 weeks. The rate of correctly classified diagnoses was higher (91.3%, 221/242, versus 74.0%, 179/242, Compared with the conventional reading, automated color-coding of lesion changes in follow-up examinations of patients with brain metastases significantly increased the rate of correct diagnoses and resulted in higher diagnostic certainty.

Sections du résumé

BACKGROUND AND PURPOSE
MR imaging is the technique of choice for follow-up of patients with brain metastases, yet the radiologic assessment is often tedious and error-prone, especially in examinations with multiple metastases or subtle changes. This study aimed to determine whether using automated color-coding improves the radiologic assessment of brain metastases compared with conventional reading.
MATERIALS AND METHODS
One hundred twenty-one pairs of follow-up examinations of patients with brain metastases were assessed. Two radiologists determined the presence of progression, regression, mixed changes, or stable disease between the follow-up examinations and indicated subjective diagnostic certainty regarding their decisions in a conventional reading and a second reading using automated color-coding after an interval of 8 weeks.
RESULTS
The rate of correctly classified diagnoses was higher (91.3%, 221/242, versus 74.0%, 179/242,
CONCLUSIONS
Compared with the conventional reading, automated color-coding of lesion changes in follow-up examinations of patients with brain metastases significantly increased the rate of correct diagnoses and resulted in higher diagnostic certainty.

Identifiants

DOI: 10.3174/ajnr.A7380 PMID: 34992128 PMC: PMC8985679
pubmed: 34992128
pii: ajnr.A7380
doi: 10.3174/ajnr.A7380
pmc: PMC8985679
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

188-194

Informations de copyright

© 2022 by American Journal of Neuroradiology.

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Auteurs

D Zopfs (D)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany David.zopfs@uk-koeln.de.
ORCID: 0000-0001-9978-7453

K Laukamp (K)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0002-5600-5914

R Reimer (R)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0002-5900-7181

N Grosse Hokamp (N)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0001-7928-0487

C Kabbasch (C)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0003-3712-2258

J Borggrefe (J)

Department of Radiology (J.B.), Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
ORCID: 0000-0003-2908-7560

L Pennig (L)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0002-6606-9313

A C Bunck (AC)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0003-0986-0042

M Schlamann (M)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0002-7734-611X

S Lennartz (S)

From the Institute for Diagnostic and Interventional Radiology (D.Z., K.L., R.R., N.G.H., C.K., L.P., A.C.B., M.S., S.L.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
ORCID: 0000-0002-3254-4809

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Classifications MeSH

questionsmedicales.fr › Maladies du système nerveux › Tumeurs du système nerveux › Tumeurs du système nerveux central › Tumeurs du cerveau › Automated Color-Coding of Lesion Changes in...
questionsmedicales.fr › Actions chimiques et utilisations › Utilisations spécialisées de produits chimiques › Produits de contraste › Automated Color-Coding of Lesion Changes in...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études de suivi › Automated Color-Coding of Lesion Changes in...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Automated Color-Coding of Lesion Changes in...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Automated Color-Coding of Lesion Changes in...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études rétrospectives › Automated Color-Coding of Lesion Changes in...