2023
DOI: 10.3390/diagnostics13132300
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MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment

Abstract: (1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI-RADS score is subject to interobserver variability and cannot provide information about tumor cellularity. These limitations may be overcome by using a quantitative approach, such as the new emerging domain of radiomics. (2) Aim: To systematically review published… Show more

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Cited by 4 publications
(2 citation statements)
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“…Radiomics is a data-driven approach that is used to quantify visually imperceptible statistical features from qualitative and quantitative MRI that can provide their correlation with tumor physiology with no a priori information [57]. Extracting radiomic features from qualitative MRI (T 1 w/T 2 w) and quantitative (DW-and DCE-MRI) requires some preprocessing steps [76]. Radiomics is a quantitative imaging feature extraction method that provides more information about the grayscale patterns and inter-pixel relationships.…”
Section: Radiomicsmentioning
confidence: 99%
See 1 more Smart Citation
“…Radiomics is a data-driven approach that is used to quantify visually imperceptible statistical features from qualitative and quantitative MRI that can provide their correlation with tumor physiology with no a priori information [57]. Extracting radiomic features from qualitative MRI (T 1 w/T 2 w) and quantitative (DW-and DCE-MRI) requires some preprocessing steps [76]. Radiomics is a quantitative imaging feature extraction method that provides more information about the grayscale patterns and inter-pixel relationships.…”
Section: Radiomicsmentioning
confidence: 99%
“…Radiomics-based signatures from mpMRI developed for precision diagnosis and treatment may serve as a novel and powerful tool in modern precision medicine, determining the extent of the invasion of bladder cancer and its locations [94]. An MRI-based radiomics study demonstrated that image features extracted from MR images can distinguish the tumor grade in bladder cancer and could enhance staging and support a decision-making process [76]. Shi and Xu et al reported that histogram and GLCM feature analysis of T 2 w images exhibited significant differences between bladder cancer and the bladder wall [95,96].…”
Section: Mpmri For Staging Characterization and Prognosis In Mibcmentioning
confidence: 99%