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- Title
Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images.
- Authors
Mistral, Thomas; Roca, Pauline; Maggia, Christophe; Tucholka, Alan; Forbes, Florence; Doyle, Senan; Krainik, Alexandre; Galanaud, Damien; Schmitt, Emmanuelle; Kremer, Stéphane; Kastler, Adrian; Troprès, Irène; Barbier, Emmanuel L.; Payen, Jean-François; Dojat, Michel
- Abstract
Objectives: Determining the volume of brain lesions after trauma is challenging. Manual delineation is observer-dependent and time-consuming and cannot therefore be used in routine practice. The study aimed to evaluate the feasibility of an automated atlas-based quantification procedure (AQP) based on the detection of abnormal mean diffusivity (MD) values computed from diffusion-weighted MR images. Methods: The performance of AQP was measured against manual delineation consensus by independent raters in two series of experiments based on: (i) realistic trauma phantoms (n = 5) where low and high MD values were assigned to healthy brain images according to the intensity, form and location of lesion observed in real TBI cases; (ii) severe TBI patients (n = 12 patients) who underwent MR imaging within 10 days after injury. Results: In realistic TBI phantoms, no statistical differences in Dice similarity coefficient, precision and brain lesion volumes were found between AQP, the rater consensus and the ground truth lesion delineations. Similar findings were obtained when comparing AQP and manual annotations for TBI patients. The intra-class correlation coefficient between AQP and manual delineation was 0.70 in realistic phantoms and 0.92 in TBI patients. The volume of brain lesions detected in TBI patients was 59 ml (19–84 ml) (median; 25–75th centiles). Conclusions: Our results support the feasibility of using an automated quantification procedure to determine, with similar accuracy to manual delineation, the volume of low and high MD brain lesions after trauma, and thus allow the determination of the type and volume of edematous brain lesions. This approach had comparable performance with manual delineation by a panel of experts. It will be tested in a large cohort of patients enrolled in the multicenter OxyTC trial (NCT02754063).
- Subjects
BRAIN damage; DIFFUSION magnetic resonance imaging; MAGNETIC resonance imaging; INTRACLASS correlation; BRAIN injuries
- Publication
Frontiers in Neurology, 2022, Vol 13, p1
- ISSN
1664-2295
- Publication type
Article
- DOI
10.3389/fneur.2021.740603