Personalized Optimization of Systematic Prostate Biopsy

Condition(s) studied

Investigational drug(s) / intervention(s)

Personalized Optimization of Systematic Prostate Biopsy: Login the model based on our previous study (https://daringsky.shinyapps.io/prediction\_v2/) allows for input of age, BMI, serum PSA, size and location of suspicious lesions, PIRADS - V2 score, and prostate volume to generate an individualized needle distribution map,then targeted biopsy combined personalized optimization of systematic prostate biopsy was performed.

Study summary

Targeted biopsy combined systematic biopsy is the gold standard for diagnosis of prostate cancer. Excessive cores in systematic biopsy increases the risk of puncture trauma， bleeding and infection. On the basis of establishing a model with DRS stratification to reduce the cores of systematic biopsy, we propose the (12 cores -x) model innovatively. We hope that through this prospective study to verify the efficacy of the model and provide patients with a new biopsy model with high accuracy and fewer complications.

In this study， patients with suspected prostate cancer were randomly divided into two groups. Experimental group received targeted biopsy combined personalized systematic biopsy, and the control group received systematic biopsy .The differences of the detection rate of Prostate cancer between the two groups were compared.

Eligibility

Primary outcome measure(s)

• The detection rate of clinically significant prostate cancer. — 3 months after biopsy
  According to the pathological results after biopsy, the detection rate of clinically significant prostate cancer (csPCa) was calculated.

Trial sites (1)

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