Volume 31, Issue 3 pp. 541-550
Clinical Investigative Study

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

Petra Cimflova

Petra Cimflova

Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada

Department of Medical Imaging, St. Anne´s University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic

International Clinical Research Center, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic

Faculty of Medicine in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic

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Jiri Kral

Jiri Kral

Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic

Faculty of Medicine, Masaryk University, Brno, Czech Republic

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Ondrej Volny

Ondrej Volny

Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada

International Clinical Research Center, Stroke Research Program, St. Anne´s University Hospital, Brno, Czech Republic

Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic

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MacKenzie Horn

MacKenzie Horn

Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada

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Piyush Ojha

Piyush Ojha

Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada

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Martin Cabal

Martin Cabal

Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic

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Linda Kasickova

Linda Kasickova

Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic

Faculty of Medicine, Masaryk University, Brno, Czech Republic

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Jaroslav Havelka

Jaroslav Havelka

Department of Radiology, University Hospital Ostrava, Ostrava, Czech Republic

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Tomas Jonszta

Tomas Jonszta

Department of Radiology, University Hospital Ostrava, Ostrava, Czech Republic

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Michal Bar

Michal Bar

Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic

Faculty of Medicine, Ostrava University, Ostrava, Czech Republic

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Wu Qiu

Corresponding Author

Wu Qiu

Departments of Clinical Neurosciences, Calgary Stroke Program, Cumming School of Medicine, University of Calgary, Calgary, Canada

Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada

Correspondence: Address correspondence to Wu Qiu, Foothills Medical Centre, 1079 A, 29th St. NW, Calgary, AB T2N 2T9, Canada. E-mail: [email protected].

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First published: 30 March 2021
Citations: 3

Acknowledgements and Disclosures: This work was supported by the Ministry of Health, Czech Republic – Conceptual Development of Research Organization (Grant number: FNOs/2018) and the National Program of Sustainability II, Czech Republic (Grant number: LQ1605). We thank Erick Harr for English editing.

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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