Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer

Liu, Shenghua; Xu, Feijia; Xu, Tianmin; Yang, Yan; Yao, Xudong; Tang, Guangyu

doi:10.21037/tau.2020.02.16

Cited by 38 publications

(34 citation statements)

References 24 publications

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“…The number, size, location, and with or without retraction of the lesions were recorded. Size referred to the maximal diameter of the tumor and was divided into ≥3 cm and < 3 cm 28–30 . When more than one lesion was present, the most invasive tumor was selected as the index lesion.…”

Section: Methodsmentioning

confidence: 99%

Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy

Wang

Sun

et al. 2021

Magnetic Resonance Imaging

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Background Accurate evaluation of the invasion depth of tumors with a Vesical Imaging‐Reporting and Data System (VI‐RADS) score of 3 is difficult. Purpose To evaluate the diagnostic performance of a new magnetic resonance imaging (MRI) strategy based on the integration of the VI‐RADS and tumor contact length (TCL) for the diagnosis of muscle‐invasive bladder cancer (MIBC). Study type Single center, retrospective. Subjects A group of 179 patients with a mean age of 67 years (range, 24.0–96.0) underwent multiparametric MRI (mpMRI) before surgery, including 147 (82.1%) males and 32 (17.9%) females. Twenty‐four (13.4%), 90 (50.3%), 43 (24.0%), 15 (8.4%), and 7 (3.9%) cases were Ta, T1, T2, T3, and T4, respectively. Field Strength/Sequence A 1.5 T and 3.0 T, T2‐weighted turbo spin‐echo (TSE), single‐shot echo‐planar (SS‐EPI), diffusion‐weighted imaging (DWI), and T1‐weighted volumetric interpolated breath‐hold examination (T1‐VIBE). Assessment Three radiologists independently graded the VI‐RADS score and measured the TCL on index lesion images. A proposed MRI strategy called VI‐RADS_TCL was introduced by modifying the VI‐RADS score, which was downgraded to VI‐RADS 3F (equal to a VI‐RADS score of 2) if VI‐RADS = 3 and TCL < 3 cm. Statistical Tests Intraclass correlation coefficients (ICCs), Mann–Whitney U test, chi‐square tests, receiver operating characteristic (ROC) curves, and 2 × 2 contingency tables were applied. Results Inter‐reader agreement values were 0.941 (95% CI, 0.924–0.955) and 0.934 (95% CI, 0.916–0.948) for the TCL and VI‐RADS score. The TCL was significantly increased in the MIBC group (6.40–6.85 cm) compared with the NMIBC group (1.98–2.45 cm) (P < 0.05). The specificity and positive predictive values (PPV) of VI‐RADS_TCL were 82.46%–87.72% and 90.91%–91.59%, which were significantly greater than VI‐RADS score (P < 0.05). Additionally, 52.17%–55.88% NMIBC lesions with VI‐RADS 3 were downgraded to 3F by using VI‐RADS_TCL. Data Conclusion The proposed MRI strategy could reduce the false‐positive rate of lesions with a VI‐RADS score of 3 while retaining sensitivity. Evidence Level 4 Technical Efficacy 2

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Section: Methodsmentioning

confidence: 99%

Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy

Wang

Sun

et al. 2021

Magnetic Resonance Imaging

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“…An MRI with T2-and diffusion-weighted imaging of the bladder before TURBT can be used to assess the tumour size, depth of invasion and nodal involvement. 32,33 T2-and diffusion-weighted MRI is useful for distinguishing normal bladder tissue from bladder tumour and this can be used in patient assessment and in radiotherapy planning to outline the boost radiotherapy volume. 34,35 An FDG PET may be used to assess the patient for nodal or distant metastatic disease and has been shown to be more sensitive than CT in upstaging MIBC.…”

Section: Guideline 2: Patient Assessment and Prognostic Factorsmentioning

confidence: 99%

FROGG patterns of practice survey and consensus recommendations on radiation therapy for MIBC

et al. 2020

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“…VI-RADS provides five-point scores that predict the possibility of muscle invasiveness by BCa. The reported accuracy of VI-RADS in predicting MIBC has exceeded 85% in recent validation studies (13)(14)(15)(16)(17) with a great inter-reader agreement and reviewer acceptance (17,18), so VI-RADS has obtained novel interest and acceptance and has been adopted by many radiologists and institutions in clinical routine. Recent studies reported that VI-RADS also had the potential to differentiate BCa patients with extravesical extension (19) and select high risk NMIBC patients who are a candidate for repeated transurethral Resection (16).…”

Section: Introductionmentioning

confidence: 99%

Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer

Zheng

et al. 2021

Front. Oncol.

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BackgroundThe treatment and prognosis for muscle-invasive bladder cancer (MIBC) and non-muscle-invasive bladder cancer (NMIBC) are different. We aimed to construct a nomogram based on the multiparametric MRI (mpMRI) radiomics signature and the Vesical Imaging-Reporting and Data System (VI-RADS) score for the preoperative differentiation of MIBC from NMIBC.MethodThe retrospective study involved 185 pathologically confirmed bladder cancer (BCa) patients (training set: 129 patients, validation set: 56 patients) who received mpMRI before surgery between August 2014 to April 2020. A total of 2,436 radiomics features were quantitatively extracted from the largest lesion located on the axial T2WI and from dynamic contrast-enhancement images. The minimum redundancy maximum relevance (mRMR) algorithm was used for feature screening. The selected features were introduced to construct radiomics signatures using three classifiers, including least absolute shrinkage and selection operator (LASSO), support vector machines (SVM) and random forest (RF) in the training set. The differentiation performances of the three classifiers were evaluated using the area under the curve (AUC) and accuracy. Univariable and multivariable logistic regression were used to develop a nomogram based on the optimal radiomics signature and clinical characteristics. The performance of the radiomics signatures and the nomogram was assessed and validated in the validation set.ResultsCompared to the RF and SVM classifiers, the LASSO classifier had the best capacity for muscle invasive status differentiation in both the training (accuracy: 90.7%, AUC: 0.934) and validation sets (accuracy: 87.5%, AUC: 0.906). Incorporating the radiomics signature and VI-RADS score, the nomogram demonstrated better discrimination and calibration both in the training set (accuracy: 93.0%, AUC: 0.970) and validation set (accuracy: 89.3%, AUC: 0.943). Decision curve analysis showed the clinical usefulness of the nomogram.ConclusionsThe mpMRI radiomics signature may be useful for the preoperative differentiation of muscle-invasive status in BCa. The proposed nomogram integrating the radiomics signature with the VI-RADS score may further increase the differentiation power and improve clinical decision making.

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Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer

Cited by 38 publications

References 24 publications

Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy

Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy

FROGG patterns of practice survey and consensus recommendations on radiation therapy for MIBC

Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer

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