Prostate cancer: diagnostic yield of modified transrectal ultrasound-guided twelve-core combined biopsy (targeted plus systematic biopsies) using prebiopsy magnetic resonance imaging

Song, C.; Park, Sung Yoon

doi:10.1007/s00261-021-03179-5

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…Next, the SB with six to eight cores was done in the nonsuspicious lesions. Patients with PI-RADS scores = 2 or who did not undergo mpMRI had 10 to 12 cores of SB from the peripheral zone of the prostate at the apex, mid-gland, and base ( 6 ). Each core of the biopsy was labeled individually.…”

Section: Methodsmentioning

confidence: 99%

“…Over the past two decades, multiparametric magnetic resonance imaging (mpMRI) has significantly improved the diagnosis rates of PCa, especially csPCa, and targeted biopsy of suspicious lesions identified by mpMRI (MRI-TB) has been proven by many clinical studies to detect more csPCa and less clinically insignificant PCa (icsPCa) compared with TRUSB ( 3 – 5 ). The combined biopsy of prostate cancer (targeted plus systematic biopsies) also showed high detection of csPCa compared with TRUSB ( 6 , 7 ). However, there is little knowledge about the effectiveness of the combined biopsy for biopsy-naïve men with PSA < 20 ng/ml in China.…”

Section: Introductionmentioning

confidence: 94%

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Integration of PSAd and multiparametric MRI to forecast biopsy outcomes in biopsy-naïve patients with PSA 4~20 ng/ml

Ren,

Chen,

Liu

et al. 2024

Front. Oncol.

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IntroductionThis study aims to investigate whether the transrectal ultrasound-guided combined biopsy (CB) improves the detection rates of prostate cancer (PCa) and clinically significant PCa (csPCa) in biopsy-naïve patients. We also aimed to compare the Prostate Imaging Reporting and Data System (PI-RADS v2.1) score, ADC values, and PSA density (PSAd) in predicting csPCa by the combined prostate biopsy.MethodsThis retrospective and single-center study included 389 biopsy-naïve patients with PSA level 4~20 ng/ml, of whom 197 underwent prebiopsy mpMRI of the prostate. The mpMRI-based scores (PI-RADS v2.1 scores and ADC values) and clinical parameters were collected and evaluated by logistic regression analyses. Multivariable models based on the mpMRI-based scores and clinical parameters were developed by the logistic regression analyses to forecast biopsy outcomes of CB in biopsy-naïve patients. The ROC curves measured by the AUC values, calibration plots, and DCA were performed to assess multivariable models.ResultsThe CB can detect more csPCa compared with TRUSB (32.0% vs. 53%). The Spearman correlation revealed that Gleason scores of the prostate biopsy significantly correlated with PI-RADS scores and ADC values. The multivariate logistic regression confirmed that PI-RADS scores 4, 5, and prostate volume were important predictors of csPCa. The PI-RADS+ADC+PSAd (PAP) model had the highest AUCs of 0.913 for predicting csPCa in biopsy-naïve patients with PSA level 4~20 ng/ml. When the biopsy risk threshold of the PAP model was greater than or equal to 0.10, 51% of patients could avoid an unnecessary biopsy, and only 5% of patients with csPCa were missed.ConclusionThe prebiopsy mpMRI and the combined prostate biopsy have a high CDR of csPCa in biopsy-naïve patients. A multivariable model based on the mpMRI-based scores and PSAd could provide a reference for clinicians in forecasting biopsy outcomes in biopsy-naïve patients with PSA 4~20 ng/ml and make a more comprehensive assessment during the decision-making of the prostate biopsy.

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Section: Methodsmentioning

confidence: 99%