Objective:

To investigate the predictive value of quantitative parameters of amide proton transfer imaging (APT) on the risk of bone metastasis in newly diagnosed prostate cancer patients.

Methods:

Retrospecti

ve analysis was conducted on the imaging and clinical data of 42 untreated patients with prostate cancer diagnosed by prostate tissue puncture or surgery pathology from July 2019 to March 2022 who underwent APT examination in Chongqing University Cancer Hospital. There were 27 cases in non-bone metastasis group and 15 cases in bone metastasis group. Independent sample t test or rank sum test were used to analyze the difference of parameters in predicting the risk of prostate cancer bone metastasis. The prediction probability of joint application of parameters was calculated through the modeling of logistic regression model

and the receiver operating characteristic (ROC) curve is drawn for analysis.

Results:

The results showed that there was no significant difference between the two groups in age testosterone

luteinizing hormone

follicle stimulating hormone

prolactin

estradiol

and Prostate Imaging Reporting And Data System (PI- RADS) score (

P

＞0.05); there were statistically significant differences between total prostate-specific antigen (PSA)

APTw

apparent diffusion coefficient (ADC)

Gleason score of prostate puncture and serum alkaline phosphatase in predicting the risk of bone metastasis of prostate cancer (

P

＜0.05). The ROC curve analysis showed that APTw had a high specificity (88.46) in independently predicting the risk of bone metastasis of prostate cancer

and the combination of all parameters had the best predictive ability (areaunder curve was 0.866).

Conclusion:

Quantitative parameters of APT are closely related to bone metastasis of prostate cancer

and can be an effective risk factor for predicting bone metastasis of prostate cancer.