Combining Magnetic Resonance Diffusion-Weighted Imaging with Prostate-Specific Antigen to Differentiate Between Malignant and Benign Prostate Lesions

23 April 2022 : Clinical Research

Liying Han^1CEF, Guanyong He^1CDE, Yingjie Mei^2CD, Qing Yu^3BF, Minning Zhao^3BF, Fu Luo^4B, Guanxun Cheng^1AEG*, Wen Liang^3AE

DOI: 10.12659/MSM.935307

Med Sci Monit 2022; 28:e935307

Background Material and Methods Results Discussion Conclusions References

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Table 4 Performance of the independent variables and combined model.

MRI/PSA metrics	AUC (95% CI)	Cutoff	Sensitivity	Specificity	PPV	NPV	P
Combined model	0.911 (0.829–0.962)	0.321	0.875	0.865	0.800	0.918
ADC (×10 mm/s)	0.887 (0.806–0.967)	0.855	0.844	0.865	0.794	0.90	0.204^a
D (×10 mm/s)	0.848 (0.755–0.941)	0.87	0.781	0.865	0.781	0.865
D (×10 mm/s)	0.672 (0.556–0.787)	66.71	0.813	0.519	0.51	0.818
D (×10 mm/s)	0.862 (0.774–0.951)	1.41	0.781	0.865	0.781	0.865
K	0.822 (0.725–0.920)	1.015	0.813	0.788	0.703	0.872
tPSA (ng/ml)	0.804 (0.693–0.915)	20.995	0.75	0.846	0.75	0.846
f/tPSA	0.733 (0.624–0.842)	0.114	0.719	0.692	0.59	0.80
PSAD (ng/ml/cm)	0.861 (0.770–0.951)	0.335	0.75	0.904	0.828	0.855	0.131^a
PI-RADS v2	0.859 (0.771–0.948)	>3	0.781	0.885	0.806	0.867	0.229^a
^a Delong test was used to compare the AUC of combined model and that of ADC, PSAD, and PI-RADS v2. AUC – area under curve; PPV – positive predictive value; NPV – negative predictive value; PI-RADS v2 – Prostate Imaging Reporting and Data System version 2.

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