Evidence map›Paper›PMID 33493230›Full record

ArticlePloS one2021

Diffusion weighted imaging of the breast: Performance of standardized breast tumor tissue selection methods in clinical decision making.

M Wielema, P E Sijens, H Dijkstra, G H De Bock, I G van Bruggen, J E Siegersma, E Langius, R M Pijnappel, M D Dorrius, M Oudkerk

Abstract read
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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

M WielemaDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0002-9275-0364
P E SijensDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
H DijkstraDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0001-6664-902X
G H De BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
I G van BruggenDepartment of Radiotherapy, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
J E SiegersmaDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
E LangiusDepartment of Radiology, Isala Hospital, Zwolle, the Netherlands.ORCID 0000-0002-2035-9788
R M PijnappelDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
M D DorriusDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
M OudkerkFaculty of Medical Sciences, University of Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn breast diffusion weighted imaging (DWI) protocol standardization, it is recently shown that no breast tumor tissue selection (BTTS) method outperformed the others. The purpose of this study is to analyze the feasibility of three fixed-size breast tumor tissue selection (BTTS) methods based on the reproducibility, accuracy and time-measurement in comparison to the largest oval and manual delineation in breast diffusion weighted imaging data.

methodsThis study is performed with a consecutive dataset of 116 breast lesions (98 malignant) of at least 1.0 cm, scanned in accordance with the EUSOBI breast DWI working group recommendations. Reproducibility of the maximum size manual (BTTS1) and of the maximal size round/oval (BTTS2) methods were compared with three smaller fixed-size circular BTTS methods in the middle of each lesion (BTTS3, 0.12 cm3 volume) and at lowest apparent diffusion coefficient (ADC) (BTTS4, 0.12 cm3; BTTS5, 0.24 cm3). Mean ADC values, intraclass-correlation-coefficients (ICCs), area under the curve (AUC) and measurement times (sec) of the 5 BTTS methods were assessed by two observers.

resultsExcellent inter- and intra-observer agreement was found for any BTTS (with ICC 0.88-0.92 and 0.92-0.94, respectively). Significant difference in ADCmean between any pair of BTTS methods was shown (p = <0.001-0.009), except for BTTS2 vs. BTTS3 for observer 1 (p = 0.10). AUCs were comparable between BTTS methods, with highest AUC for BTTS2 (0.89-0.91) and lowest for BTTS4 (0.76-0.85). However, as an indicator of clinical feasibility, BTTS2-3 showed shortest measurement times (10-15 sec) compared to BTTS1, 4-5 (19-39 sec).

conclusionThe performance of fixed-size BTTS methods, as a potential tool for clinical decision making, shows equal AUC but shorter ADC measurement time compared to manual or oval whole lesion measurements. The advantage of a fixed size BTTS method is the excellent reproducibility. A central fixed breast tumor tissue volume of 0.12 cm3 is the most feasible method for use in clinical practice.

Indexed as

Clinical Decision-MakingAdultAgedBreastBreast NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedReproducibility of ResultsYoung Adult

Identifiers

PMID33493230
PMCPMC7833148

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.