J 2021

MRI Diffusion-Weighted Imaging to Measure Infarct Volume: Assessment of Manual Segmentation Variability

CIMFLOVÁ, Petra, Jiří KRÁL, Ondřej VOLNÝ, MacKenzie HORN, Piyush OJHA et. al.

Základní údaje

Originální název

MRI Diffusion-Weighted Imaging to Measure Infarct Volume: Assessment of Manual Segmentation Variability

Autoři

CIMFLOVÁ, Petra (203 Česká republika, domácí), Jiří KRÁL (203 Česká republika, domácí), Ondřej VOLNÝ (203 Česká republika), MacKenzie HORN, Piyush OJHA, Martin CABAL (203 Česká republika), Linda MACHOVÁ (203 Česká republika, domácí), Jaroslav HAVELKA (203 Česká republika), Tomas JONSZTA (203 Česká republika), Michal BAR (203 Česká republika) a Wu QIU (garant)

Vydání

Journal of Neuroimaging, Hoboken, Wiley-Blackwell, 2021, 1051-2284

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.324

Kód RIV

RIV/00216224:14110/21:00122326

Organizační jednotka

Lékařská fakulta

UT WoS

000634712300001

Klíčová slova anglicky

Ischemic lesion volume; manual segmentation variability; MRI‐ DWI; stroke imaging

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 14. 9. 2021 07:54, Mgr. Tereza Miškechová

Anotace

V originále

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.