Added prognostic value of 3D deep learning-derived features from preoperative MRI for adult-type diffuse gliomas.
Neuro Oncol
; 26(3): 571-580, 2024 03 04.
Article
en En
| MEDLINE
| ID: mdl-37855826
ABSTRACT
BACKGROUND:
To investigate the prognostic value of spatial features from whole-brain MRI using a three-dimensional (3D) convolutional neural network for adult-type diffuse gliomas.METHODS:
In a retrospective, multicenter study, 1925 diffuse glioma patients were enrolled from 5 datasets SNUH (nâ =â 708), UPenn (nâ =â 425), UCSF (nâ =â 500), TCGA (nâ =â 160), and Severance (nâ =â 132). The SNUH and Severance datasets served as external test sets. Precontrast and postcontrast 3D T1-weighted, T2-weighted, and T2-FLAIR images were processed as multichannel 3D images. A 3D-adapted SE-ResNeXt model was trained to predict overall survival. The prognostic value of the deep learning-based prognostic index (DPI), a spatial feature-derived quantitative score, and established prognostic markers were evaluated using Cox regression. Model evaluation was performed using the concordance index (C-index) and Brier score.RESULTS:
The MRI-only median DPI survival prediction model achieved C-indices of 0.709 and 0.677 (BSâ =â 0.142 and 0.215) and survival differences (Pâ <â 0.001 and Pâ =â 0.002; log-rank test) for the SNUH and Severance datasets, respectively. Multivariate Cox analysis revealed DPI as a significant prognostic factor, independent of clinical and molecular genetic variables hazard ratioâ =â 0.032 and 0.036 (Pâ <â 0.001 and Pâ =â 0.004) for the SNUH and Severance datasets, respectively. Multimodal prediction models achieved higher C-indices than models using only clinical and molecular genetic variables 0.783 vs. 0.774, Pâ =â 0.001, SNUH; 0.766 vs. 0.748, Pâ =â 0.023, Severance.CONCLUSIONS:
The global morphologic feature derived from 3D CNN models using whole-brain MRI has independent prognostic value for diffuse gliomas. Combining clinical, molecular genetic, and imaging data yields the best performance.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias Encefálicas
/
Aprendizaje Profundo
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Glioma
Límite:
Adult
/
Humans
Idioma:
En
Revista:
Neuro Oncol
Asunto de la revista:
NEOPLASIAS
/
NEUROLOGIA
Año:
2024
Tipo del documento:
Article