Magnetic Resonance Imaging–targeted Prostate Biopsy Compared with Systematic Prostate Biopsy in Biopsy-naïve Patients with Suspected Prostate Cancer

Alkema, Nicolette G.; Hoogeveen, Sebastiaan F.J.S.; Cauberg, Evelyne C. C.; Witte, Lambertus P. W.; Kate, Miranda van 't Veer-ten; Boer, Erwin de; Hoogland, Marije A.M.; Blanker, Marco; Boomsma, Martijn F.; Steffens, M.G.

doi:10.1016/j.euros.2022.08.005

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…This approach arises a question that could the SB be avoided because the SB usually requires 12 additional biopsy cores, which increase potential harms with low detection of clinically signi cant PCa (csPCa) [3][4][5]. Despite growing evidence supporting mono-TB pathways (ie, mpMRI-TB only without SB, or when mpMRI is negative no biopsy at all) [6,7], there has been none consensus regarding the avoidance of SB because the added value of SB has been demonstrated in several clinical trials [8][9][10]. Therefore, the prediction of the concordance between TB and CB is of great interesting for the decision making of implementing mono-TB in men with positive MRI.…”

Section: Introductionmentioning

confidence: 99%

A PSMA PET/CT-based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

An,

Qiu,

Liu

et al. 2024

World J Urol

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Backgroud mpMRI-TB improves the clinically signi cant prostate cancer (csPCa) detection rate. However, there has been none consensus regarding the avoidance of systematic biopsy (SB) with more biopsy cores in patients undergoing mpMRI-TB. Thus, this study is to investigate the diagnostic value of 68 Ga-PSMA-11 in predicting the concordance between mpMRI-TB and combined biopsy (CB) in detecting PCa. Methods 115 consecutive men with 68 Ga-PSMA-11 PET/CT prior to prostate biopsy were included for analysis. PSMA intensity, quanti ed as maximum standard uptake value (SUVmax), minimum apparent diffusion coe cient (ADCmin) and other clinical characteristics were evaluated relative to biopsy concordance by using univariate and multivariate logistic regression analyses. A prediction model was developed based on the identi ed parameters. Resultsconcordance between mpMRI-TB and CB occurred in 76.5% (88/115) of the patients. Multivariate logistic regression analyses performed that SUVmax (OR = 0.952; 95% CI: 0.917-0.988; p = 0.010) and ADCmin (OR = 1.006; 95% CI: 1.003-1.010; p = 0.001) were independent risk factors for biopsy concordance. The developed model showed a sensitivity, speci city, accuracy and AUC of 0.67, 0.78, 0.81 and 0.78 in the full sample. ConclusionsThe developed prediction model based on SUVmax and ADCmin showed practical value in guiding the optimization of prostate biopsy pattern. Lower SUVmax and Higher ADCmin values are associated with greater con dence in implementing mono-TB and safely avoiding SB, effectively balancing bene ts and risks.

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Section: Introductionmentioning

confidence: 99%

A PSMA PET/CT-based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

An,

Qiu,

Liu

et al. 2024

World J Urol

View full text Add to dashboard Cite

show abstract

A PSMA PET/CT based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

An,

Qiu,

Liu

et al. 2023

Preprint

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Backgroud mpMRI-TB improves the clinically significant prostate cancer (csPCa) detection rate. However, there has been none consensus regarding the avoidance of systematic biopsy (SB) with more biopsy cores in patients undergoing mpMRI-TB. Thus, this study is to investigate the diagnostic value of 68Ga-PSMA-11 in predicting the concordance between mpMRI-TB and combined biopsy (CB) in detecting PCa. Methods 115 consecutive men with 68Ga-PSMA-11 PET/CT prior to prostate biopsy were included for analysis. PSMA intensity, quantified as maximum standard uptake value (SUVmax), minimum apparent diffusion coefficient (ADCmin) and other clinical characteristics were evaluated relative to biopsy concordance by using univariate and multivariate logistic regression analyses. A prediction model was developed based on the identified parameters. Results concordance between mpMRI-TB and CB occurred in 76.5% (88/115) of the patients. Multivariate logistic regression analyses performed that SUVmax (OR = 0.952; 95% CI: 0.917–0.988; p = 0.010) and ADCmin (OR = 1.006; 95% CI: 1.003–1.010; p = 0.001) were independent risk factors for biopsy concordance. The developed model showed a sensitivity, specificity, accuracy and AUC of 0.67, 0.78, 0.81 and 0.78 in the full sample. Conclusions The developed prediction model based on SUVmax and ADCmin showed practical value in guiding the optimization of prostate biopsy pattern. Lower SUVmax and Higher ADCmin values are associated with greater confidence in implementing mono-TB and safely avoiding SB, effectively balancing benefits and risks.

show abstract

Magnetic Resonance Imaging–targeted Prostate Biopsy Compared with Systematic Prostate Biopsy in Biopsy-naïve Patients with Suspected Prostate Cancer

Cited by 2 publications

References 18 publications

A PSMA PET/CT-based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

A PSMA PET/CT-based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

A PSMA PET/CT based risk model for prediction of concordance between targeted biopsy and combined biopsy in detecting prostate cancer

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