Novel radiomic analysis on bi-parametric MRI for characterizing differences between MR non-visible and visible clinically significant prostate cancer.
Eur J Radiol Open
; 10: 100496, 2023.
Article
em En
| MEDLINE
| ID: mdl-37396490
ABSTRACT
Background:
around one third of clinically significant prostate cancer (CsPCa) foci are reported to be MRI non-visible (MRIâ).Objective:
To quantify the differences between MR visible (MRI+) and MRIâ CsPCa using intra- and peri-lesional radiomic features on bi-parametric MRI (bpMRI).Methods:
This retrospective and multi-institutional study comprised 164 patients with pre-biopsy 3T prostate multi-parametric MRI from 2014 to 2017. The MRIâ CsPCa referred to lesions with PI-RADS v2 score < 3 but ISUP grade group > 1. Three experienced radiologists were involved in annotating lesions and PI-RADS assignment. The validation set (Dv) comprised 52 patients from a single institution, the remaining 112 patients were used for training (Dt). 200 radiomic features were extracted from intra-lesional and peri-lesional regions on bpMRI.Logistic regression with least absolute shrinkage and selection operator (LASSO) and 10-fold cross-validation was applied on Dt to identify radiomic features associated with MRIâ and MRI+ CsPCa to generate corresponding risk scores RMRIâ and RMRI+. RbpMRI was further generated by integrating RMRIâ and RMRI+. Statistical significance was determined using the Wilcoxon signed-rank test.Results:
Both intra-lesional and peri-lesional bpMRI Haralick and CoLlAGe radiomic features were significantly associated with MRIâ CsPCa (p < 0.05). Intra-lesional ADC Haralick and CoLlAGe radiomic features were significantly different among MRIâ and MRI+ CsPCa (p < 0.05). RbpMRI yielded the highest AUC of 0.82 (95 % CI 0.72-0.91) compared to AUCs of RMRI+ 0.76 (95 % CI 0.63-0.89), and PI-RADS 0.58 (95 % CI 0.50-0.72) on Dv. RbpMRI correctly reclassified 10 out of 14 MRIâ CsPCa on Dv.Conclusion:
Our preliminary results demonstrated that both intra-lesional and peri-lesional bpMRI radiomic features were significantly associated with MRIâ CsPCa. These features could assist in CsPCa identification on bpMRI.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article