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Updated: Aug 28, 2026

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
Spectral CT-derived quantitative imaging parameters combined with inflammatory markers for exploratory preoperative
Shuang Qin1, Yi Hong2, Jie Cheng3
1Department of Medical Imaging, Shanghai Xuhui Central Hospital/Xuhui Hospital, Fudan University, Shanghai, China.
Background:
Pathological grade and muscular invasion determine bladder cancer treatment and prognosis. Conventional CT lacks quantitative tumor characterization, while gemstone spectral imaging CT (GSI-CT) provides perfusion-related quantitative metrics; systemic inflammatory markers also correlate with tumor aggressiveness.
Objective:
To explore whether combined GSI-CT parameters and inflammatory markers improve preoperative bladder cancer grading, and analyze their association with muscular invasion.
Methods:
This single-center retrospective study enrolled 61 pathologically confirmed bladder cancer patients (26 low-grade, 35 high-grade) with preoperative GSI-CT. Venous-phase iodine concentration (IC), spectral slope λHU, effective atomic number (Zeff) and four inflammatory indices were measured. Between-group comparisons, logistic regression and DeLong ROC comparison were performed using SPSS 25.0 and R 4.3.3 (α = 0.05).
Results:
Venous-phase IC, λHU and Zeff were significantly elevated in high-grade lesions, while lymphocyte-to-monocyte ratio (LMR) was markedly lower (all P < 0.05). The λHU + LMR combined model yielded an AUC of 0.877 versus LMR alone (AUC = 0.835), with no statistically significant diagnostic improvement (P = 0.061) by DeLong test. After adjusting for tumor diameter, both λHU and LMR remained independent grading predictors. A post-hoc inflammation-free subgroup analysis suggested λHU may partially offset the confounding effect of systemic inflammation on LMR performance, though this result is exploratory and requires further validation.
Conclusions:
Combined GSI-CT and LMR jointly reflect tumor angiogenesis and host immunity, yet the dual-parameter model offered no statistically meaningful incremental grading value over LMR in this NMIBC-dominated single-center cohort. The auxiliary value of λHU needs large multi-center prospective verification.
