2021
DOI: 10.1002/jmri.27676
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Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy

Abstract: 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 multipar… Show more

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Cited by 18 publications
(2 citation statements)
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References 38 publications
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“…However, the sensitivity rapidly decreased and reached the optimal specificity in VI-RADS score of 4. Some researchers use tumor contact length to overcome this limitation of VI-RADS (17). Another problem is that the three variables (T2-weighted, diffusion-weighted, and dynamic contrastenhanced images) in MRI are sometimes inconsistent.…”
Section: Discussionmentioning
confidence: 99%
“…However, the sensitivity rapidly decreased and reached the optimal specificity in VI-RADS score of 4. Some researchers use tumor contact length to overcome this limitation of VI-RADS (17). Another problem is that the three variables (T2-weighted, diffusion-weighted, and dynamic contrastenhanced images) in MRI are sometimes inconsistent.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, Ahn et al noted that tumor contact length could be used as a complementary indicator for VI-RADS to predict MIBC at a threshold of 3 cm to reduce the false-positive rate [36]. A single-center retrospective study showed that the specificity of the integration of VI-RADS and tumor contact length was 82.46-87.72%, and the PPV was 90.91-91.59%, indicating an effective strategy to reduce the false-positive rate of VI-RADS [37]. Feng et al proved that the integration of fractional-order calculus model and VI-RADS increased the AUC value from 0.859 to 0.931, which helped to identify and stage BCa [38].…”
Section: Imagingmentioning
confidence: 99%