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Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
Validation and Predictive Modelling of a Portable Bladder Scanner for Precision Bladder Management in Pelvic
Wenzheng Huang1, Weiping Fu2, Xinlei Zhang1
1Department of Radiotherapy, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111Xianxia Road, Shanghai, 200336.
Objectives:
Validate the accuracy of a portable bladder scanner (Caresono PadScan HD5) against planning CT and demonstrate its clinical application to optimize bladder preparation in pelvic radiotherapy.
Methods:
Two retrospective cohorts were analyzed: 114 patients assessed with HD5 and 111 historical controls. Agreement between HD5-measured volume (VHD5) and planning CT (VCT) was evaluated with correlation, regression, Bland-Altman, and paired tests. Initial CBCT repetition rates were compared between cohorts. Subgroup analyses (BV < 300 vs ≥ 300 mL; age < 65 vs ≥ 65 years); sex and multivariable linear regression with interaction terms explored predictors of measurement error.
Results:
VHD5 correlated with VCT (r = 0.723, P < 0.001) but underestimated volumes (mean bias -34.39 mL). Underestimation was markedly greater at VCT ≥ 300 mL (-71.46 vs -18.64 mL, P < 0.001). Multivariable regression confirmed bladder volume (BV) as the primary driver, with an age-dependent interaction showing steeper underestimation in younger (< 65 years) patients (P < 0.001). Following HD5 implementation, initial CBCT repetition rates decreased from 48.7% to 22.8% (P < 0.001).
Conclusions:
HD5 enables reliable, though negatively biased, BV estimates. Embedding an age-stratified, moderate-fill workflow reduces repeat initial CBCT and standardizes bladder preparation.
Advances In Knowledge:
We quantify volume-dependent underestimation and an age interaction, and translate them into a predictive, age-stratified protocol that operationalizes HD5 measurements for routine pelvic RT bladder management.
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