CIMFLOVÁ, Petra, Jiří KRÁL, Ondřej VOLNÝ, MacKenzie HORN, Piyush OJHA, Martin CABAL, Linda MACHOVÁ, Jaroslav HAVELKA, Tomas JONSZTA, Michal BAR and Wu QIU. MRI Diffusion-Weighted Imaging to Measure Infarct Volume: Assessment of Manual Segmentation Variability. Journal of Neuroimaging. Hoboken: Wiley-Blackwell, 2021, vol. 31, No 3, p. 541-550. ISSN 1051-2284. Available from: https://dx.doi.org/10.1111/jon.12850.
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Basic information
Original name MRI Diffusion-Weighted Imaging to Measure Infarct Volume: Assessment of Manual Segmentation Variability
Authors CIMFLOVÁ, Petra (203 Czech Republic, belonging to the institution), Jiří KRÁL (203 Czech Republic, belonging to the institution), Ondřej VOLNÝ (203 Czech Republic), MacKenzie HORN, Piyush OJHA, Martin CABAL (203 Czech Republic), Linda MACHOVÁ (203 Czech Republic, belonging to the institution), Jaroslav HAVELKA (203 Czech Republic), Tomas JONSZTA (203 Czech Republic), Michal BAR (203 Czech Republic) and Wu QIU (guarantor).
Edition Journal of Neuroimaging, Hoboken, Wiley-Blackwell, 2021, 1051-2284.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30224 Radiology, nuclear medicine and medical imaging
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.324
RIV identification code RIV/00216224:14110/21:00122326
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1111/jon.12850
UT WoS 000634712300001
Keywords in English Ischemic lesion volume; manual segmentation variability; MRI‐ DWI; stroke imaging
Tags 14110119, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 14/9/2021 07:54.
Abstract
BACKGROUND AND PURPOSE Manual segmentation of infarct volume on follow-up MRI diffusion-weighted imaging (MRI-DWI) is considered the gold standard but is prone to rater variability. We assess the variability of manual segmentations of MRI-DWI infarct volume. METHODS Consecutive patients (May 2018 to May 2019) with the anterior circulation stroke and endovascularly treated were enrolled. All patients underwent 24- to 32-hour follow-up MRI. Three users manually segmented DWI infarct volumes slice by slice twice. The reference standard of DWI infarct volume was generated by the STAPLE algorithm. Intra- and interrater reliability was evaluated using the intraclass correlation coefficient (ICC) by comparing manual segmentations with the reference standard. Spatial measurements were evaluated using metrics of the Dice similarity coefficient (DSC). Volumetric measurements were compared using the lesion volume. RESULTS The dataset consisted of 44 patients, mean (SD) age was 70.1 years (+/- 10.3), 43% were women, and median baseline NIHSS score was 16. Among three users, the mean DSC for MRI-DWI infarct volume segmentations ranged from 80.6% +/- 11.7% to 88.6% +/- 7.5%, and the mean absolute volume difference was 2.8 +/- 6.8 to 13.0 +/- 14.0 ml. Interrater ICC among the users for DSC and infarct volume was .86 (95% confidence interval [95% CI]: .78-.91) and .997 (95% CI: .995-.998). Intrarater ICC for the three users was .83 (95% CI: .69-.93), .84 (95% CI: .72-.91), and .80 (95% CI: .64-.89) for DSC, and .99 (95% CI: .987-.996), .991 (95% CI: .983-.995), and .996 (95% CI: .993-.998) for infarct volume. CONCLUSIONS Manual segmentation of infarct volume on follow-up MRI-DWI shows excellent agreement and good spatial overlap with the reference standard, suggesting its usefulness for measuring infarct volume on 24- to 32-hour MRI-DWI.
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