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Published on: September 13, 2018
The Performance of MR Cytometry Imaging in Differentiating High- and Low-Grade Bladder Cancer
Li Chen1, Chaoyang Jin2, Erjia Guo1
1Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Background:
Accurate preoperative grading of bladder cancer is important for determining treatment and prognosis.
Purpose:
To investigate the diagnostic efficacy of MR cytometry imaging in differentiating high- and low-grade bladder cancer.
Study Type:
Prospective.
Population:
Sixty-participants (male: 27, mean age: 65 years) with pathologically confirmed bladder cancer (37 high-grade, 23 low-grade).
Field Strength/Sequence:
3.0 T, pulsed gradient spin-echo (PGSE) and oscillating gradient spin-echo (OGSE, 20 and 40 Hz) diffusion-weighted imaging.
Assessment:
All tumors were manually delineated independently by two radiologists, and inter-observer agreement was assessed using intraclass correlation coefficient (ICC). Time-dependent apparent diffusion coefficients (ADCs), including OGSE at 20 HZ (ADC20HZ), OGSE at 40 HZ (ADC40HZ), and PGSE (ADCPGSE), and MR cytometry-derived microstructural parameters (cell diameter [ ], intracellular volume fraction [ ], extracellular diffusivity [ ], and cellularity [ ]) were calculated. Histopathological examination of surgical specimens served as the reference standard for tumor grading.
Statistical Tests:
Mann-Whitney U test was used for group comparisons. Diagnostic performance was evaluated by logistic regression and receiver operating characteristic (ROC) analysis; area under the ROC curve (AUCs) was compared with the DeLong test. Statistical significance was set at p < 0.05.
Results:
High-grade tumors showed significantly higher (median: 0.31 vs. 0.20), (1.97 vs. 1.33 × 10-2 μm-1), and lower ADCs than low-grade tumors while (p = 0.85, 95% confidence interval [CI] of mean difference: -0.822 to -0.820) and (p = 0.053, 95% CI of mean difference: 0.025 to 0.352) were not different. demonstrated the highest AUC (0.89; 95% CI: 0.80-0.97) among single parameters, and the combined model of , , and ADCPGSE achieved the highest diagnostic accuracy (AUC = 0.92; 95% CI: 0.86-0.99).
Data Conclusion:
MR cytometry noninvasively differentiates high- from low-grade bladder cancer. showed good discriminatory performance, and combining , , and ADCPGSE further improves preoperative assessment.
Evidence Level:
1.
Technical Efficacy:
Stage 3: Diagnostic Thinking.
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