Role of Additional MRI-Based Morphologic Measurements on the Performance of VI-RADS for Muscle-Invasive Bladder Cancer.

Vesical Imaging-Reporting and Data System morphologic measurement multiparametric MRI muscle-invasive bladder cancer

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
23 Jan 2024
Historique:
revised: 30 11 2023
received: 24 09 2023
accepted: 30 11 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: aheadofprint

Résumé

Vesical Imaging-Reporting and Data System (VI-RADS) is a pathway for the standardized imaging and reporting of bladder cancer staging using multiparametric (mp) MRI. To investigate additional role of morphological (MOR) measurements to VI-RADS for the detection of muscle-invasive bladder cancer (MIBC) with mpMRI. Retrospective. A total of 198 patients (72 MIBC and 126 NMIBC) underwent bladder mpMRI was included. 3.0 T/T2-weighted imaging with fast-spin-echo sequence, spin-echo-planar diffusion-weighted imaging and dynamic contrast-enhanced imaging with fast 3D gradient-echo sequence. VI-RADS score and MOR measurement including tumor location, number, stalk, cauliflower-like surface, type of tumor growth, tumor-muscle contact margin (TCM), tumor-longitudinal length (TLL), and tumor cellularity index (TCI) were analyzed by three uroradiologists (3-year, 8-year, and 15-year experience of bladder MRI, respectively) who were blinded to histopathology. Significant MOR measurements associated with MIBC were tested by univariable and multivariable logistic regression (LR) analysis with odds ratio (OR). Area under receiver operating characteristic curve (AUC) with DeLong's test and decision curve analysis (DCA) were used to compared the performance of unadjusted vs. adjusted VI-RADS. A P-value <0.05 was considered statistically significant. TCM (OR 9.98; 95% confidence interval [CI] 4.77-20.8), TCI (OR 5.72; 95% CI 2.37-13.8), and TLL (OR 3.35; 95% CI 1.40-8.03) were independently associated with MIBC at multivariable LR analysis. VI-RADS adjusted by three MORs achieved significantly higher AUC (reader 1 0.908 vs. 0.798; reader 2 0.906 vs. 0.855; reader 3 0.907 vs. 0.831) and better clinical benefits than unadjusted VI-RADS at DCA. Specially in VI-RADS-defined equivocal lesions, MOR-based adjustment resulted in 55.5% (25/45), 70.4% (38/54), and 46.4% (26/56) improvement in accuracy for discriminating MIBC in three readers, respectively. MOR measurements improved the performance of VI-RADS in detecting MIBC with mpMRI, especially for equivocal lesions. 3 TECHNICAL EFFICACY: Stage 2.

Sections du résumé

BACKGROUND BACKGROUND
Vesical Imaging-Reporting and Data System (VI-RADS) is a pathway for the standardized imaging and reporting of bladder cancer staging using multiparametric (mp) MRI.
PURPOSE OBJECTIVE
To investigate additional role of morphological (MOR) measurements to VI-RADS for the detection of muscle-invasive bladder cancer (MIBC) with mpMRI.
STUDY TYPE METHODS
Retrospective.
POPULATION METHODS
A total of 198 patients (72 MIBC and 126 NMIBC) underwent bladder mpMRI was included.
FIELD STRENGTH/SEQUENCE UNASSIGNED
3.0 T/T2-weighted imaging with fast-spin-echo sequence, spin-echo-planar diffusion-weighted imaging and dynamic contrast-enhanced imaging with fast 3D gradient-echo sequence.
ASSESSMENT RESULTS
VI-RADS score and MOR measurement including tumor location, number, stalk, cauliflower-like surface, type of tumor growth, tumor-muscle contact margin (TCM), tumor-longitudinal length (TLL), and tumor cellularity index (TCI) were analyzed by three uroradiologists (3-year, 8-year, and 15-year experience of bladder MRI, respectively) who were blinded to histopathology.
STATISTICAL TESTS METHODS
Significant MOR measurements associated with MIBC were tested by univariable and multivariable logistic regression (LR) analysis with odds ratio (OR). Area under receiver operating characteristic curve (AUC) with DeLong's test and decision curve analysis (DCA) were used to compared the performance of unadjusted vs. adjusted VI-RADS. A P-value <0.05 was considered statistically significant.
RESULTS RESULTS
TCM (OR 9.98; 95% confidence interval [CI] 4.77-20.8), TCI (OR 5.72; 95% CI 2.37-13.8), and TLL (OR 3.35; 95% CI 1.40-8.03) were independently associated with MIBC at multivariable LR analysis. VI-RADS adjusted by three MORs achieved significantly higher AUC (reader 1 0.908 vs. 0.798; reader 2 0.906 vs. 0.855; reader 3 0.907 vs. 0.831) and better clinical benefits than unadjusted VI-RADS at DCA. Specially in VI-RADS-defined equivocal lesions, MOR-based adjustment resulted in 55.5% (25/45), 70.4% (38/54), and 46.4% (26/56) improvement in accuracy for discriminating MIBC in three readers, respectively.
DATA CONCLUSION CONCLUSIONS
MOR measurements improved the performance of VI-RADS in detecting MIBC with mpMRI, especially for equivocal lesions.
LEVEL OF EVIDENCE METHODS
3 TECHNICAL EFFICACY: Stage 2.

Identifiants

pubmed: 38258496
doi: 10.1002/jmri.29184
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Key Research and Development Program of Jiangsu Province
ID : BE2017756

Informations de copyright

© 2024 International Society for Magnetic Resonance in Medicine.

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Auteurs

Yu Gong (Y)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Yi Cheng (Y)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Jing Zhang (J)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Mei-Ling Bao (ML)

Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Fei-Peng Zhu (FP)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Xue-Ying Sun (XY)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Yu-Dong Zhang (YD)

Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Classifications MeSH