Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 20 min ago
Peer-reviewedCC BY-NC-NDExperimental and therapeutic medicine

Assessment of muscularis propria invasion in urothelial bladder carcinoma using continuous-time random walk and stretched-exponential models: Comparison with VI-RADS and apparent diffusion coefficient.

  1. 1Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China.

Abstract

Accurate assessment of muscle layer invasion in bladder cancer is required to distinguish muscle-invasive bladder cancer (MIBC) from non-MIBC (NMIBC). The present prospective study evaluated continuous-time random-walk (CTRW) and stretched-exponential model (SEM) diffusion parameters against conventional apparent diffusion coefficient (ADC) and vesical imaging-reporting and data system (VI-RADS) scores. A total of 106 patients (62 MIBC and 44 NMIBC) who underwent 3.0T multiparametric magnetic resonance imaging, including multi-b-value diffusion-weighted imaging, at The Second Affiliated Hospital of Kunming Medical University (Kunming, China) were analyzed. CTRW and SEM parameters were extracted, and VI-RADS scores were assigned. Significant differences were found between groups for VI-RADS ≥4, SEM-ADC, CTRW-α and CTRW-β (P<0.05). Multivariate logistic regression identified VI-RADS ≥4 and CTRW-β as independent predictors of muscle invasion. While VI-RADS alone achieved an area under the curve (AUC) of 0.85, the combined model incorporating SEM-ADC, CTRW-α and VI-RADS achieved the highest overall performance (AUC=0.91; 95% CI: 0.86-0.96), significantly outperforming VI-RADS alone (raw P=0.002, Bonferroni-corrected P=0.004). Additionally, diffusion kurtosis was positively correlated with invasion depth (r=0.62). These findings indicate that advanced diffusion parameters, particularly CTRW-α and SEM-ADC, effectively differentiate MIBC from NMIBC. When integrated with VI-RADS, they significantly enhance diagnostic accuracy compared with VI-RADS alone (AUC: 0.91 vs. 0.85; P=0.030). Decision curve analysis confirmed clinical utility, with the combined model providing a mean net benefit gain of 0.10 (95% CI: 0.06-0.14) across the clinically relevant threshold range, corresponding with 10 additional correct diagnoses per 100 patients. These quantitative diffusion metrics represent promising non-invasive biomarkers for guiding therapeutic decisions.

Related

  1. Esophageal endoscopic muscularis dissection with a tunnel-first approach for deeply invasive Barrett’s adenocarcinoma
    Ewerton Marques Maggio
    EndoscopyPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. Calculation and application of the selenium toxicity coefficient for potential ecological risk assessment
    Xintian Wen, Yanjin Huang
    PLOS OnePeer-reviewedCC BY 4.0Full textEcologyEvolutionary biologyPLOS
  3. Stress-Testing Meta-Analyses: A Reproducible Python Framework for Robustness Assessment of Continuous Outcomes
    Sadia Nadeem
    CureusPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Assessment of Liver Fibrosis Using the Coefficient of Variation on Gadoxetic Acid-Enhanced Hepatobiliary Phase MR Imaging: A Prospective Multicenter Study
    Youe Ree Kim, Tae-Hoon Kim, Chang-Won Jeong +10
    Journal of Clinical MedicinePeer-reviewedCC BY 4.0Full textEpidemiology & public healthCrossrefEurope PMC
  5. Continuous performance tests in the assessment of children with attention-deficit/hyperactivity disorder: a narrative review
    Yao Zhou, Xiaoke Zhao
    Frontiers in NeurosciencePeer-reviewedCC BY 4.0Full textPsychiatry & mental healthCrossref
BibTeX
@article{wu2026assessment,
  title = {{Assessment of muscularis propria invasion in urothelial bladder carcinoma using continuous-time random walk and stretched-exponential models: Comparison with VI-RADS and apparent diffusion coefficient.}},
  author = {Yangying Wu and Xiaofang Zhu and Xiaolong Zhou and Canli Liu and Li Guo and Jingang Hao and Yunyun Shang},
  journal = {Experimental and therapeutic medicine},
  year = {2026},
  month = sep,
  doi = {10.3892/etm.2026.13316},
  url = {https://europepmc.org/article/MED/42923499},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Assessment of muscularis propria invasion in urothelial bladder carcinoma using continuous-time random walk and stretched-exponential models: Comparison with VI-RADS and apparent diffusion coefficient.
AU  - Yangying Wu
AU  - Xiaofang Zhu
AU  - Xiaolong Zhou
AU  - Canli Liu
AU  - Li Guo
AU  - Jingang Hao
AU  - Yunyun Shang
PY  - 2026
DA  - 2026/09/29
JO  - Experimental and therapeutic medicine
DO  - 10.3892/etm.2026.13316
UR  - https://europepmc.org/article/MED/42923499
AB  - Accurate assessment of muscle layer invasion in bladder cancer is required to distinguish muscle-invasive bladder cancer (MIBC) from non-MIBC (NMIBC). The present prospective study evaluated continuous-time random-walk (CTRW) and stretched-exponential model (SEM) diffusion parameters against conventional apparent diffusion coefficient (ADC) and vesical imaging-reporting and data system (VI-RADS) scores. A total of 106 patients (62 MIBC and 44 NMIBC) who underwent 3.0T multiparametric magnetic resonance imaging, including multi-b-value diffusion-weighted imaging, at The Second Affiliated Hospital of Kunming Medical University (Kunming, China) were analyzed. CTRW and SEM parameters were extracted, and VI-RADS scores were assigned. Significant differences were found between groups for VI-RADS ≥4, SEM-ADC, CTRW-α and CTRW-β (P<0.05). Multivariate logistic regression identified VI-RADS ≥4 and CTRW-β as independent predictors of muscle invasion. While VI-RADS alone achieved an area under the curve (AUC) of 0.85, the combined model incorporating SEM-ADC, CTRW-α and VI-RADS achieved the highest overall performance (AUC=0.91; 95% CI: 0.86-0.96), significantly outperforming VI-RADS alone (raw P=0.002, Bonferroni-corrected P=0.004). Additionally, diffusion kurtosis was positively correlated with invasion depth (r=0.62). These findings indicate that advanced diffusion parameters, particularly CTRW-α and SEM-ADC, effectively differentiate MIBC from NMIBC. When integrated with VI-RADS, they significantly enhance diagnostic accuracy compared with VI-RADS alone (AUC: 0.91 vs. 0.85; P=0.030). Decision curve analysis confirmed clinical utility, with the combined model providing a mean net benefit gain of 0.10 (95% CI: 0.06-0.14) across the clinically relevant threshold range, corresponding with 10 additional correct diagnoses per 100 patients. These quantitative diffusion metrics represent promising non-invasive biomarkers for guiding therapeutic decisions.
SN  - 1792-0981
SN  - 1792-1015
ER  -