Abstract
Background
Pre-biopsy multiparametric magnetic resonance imaging (mpMRI) of the prostate is used to conduct targeted prostate biopsy (TB), guided by ultrasound and registered (fused) to the MRI. Systematic biopsy (SB) continues to be used together with TB or in mpMRI-negative patients. There is insufficient evidence on how to use SB to inform clinical decision-making in the mpMRI era. The purpose of this study was to estimate the effect of prostate volume and number of SB cores on sampling clinically significant prostate cancer (csPCa) using a simulation method based on clinical data.
Methods
SBs were simulated using data from 42 patients enrolled in a transrectal ultrasound robot-assisted biopsy trial. Linear mixed models were used to examine the relationship between the number of SB cores and prostate volume on 1) clinically significant cancer detection probability (csCDP) and 2) percent of mpMRI depicted regions of interest (ROIs) sampled with the SB.
Results
Median values and interquartile range (IQR) were 47.16 cm3 (35.61–65.57) for prostate volume, 0.57 cm3 (0.39–0.83) for ROI volume, and 4.0 (2–4) for PI-RADS v2.1 scores on MRI. csCDP increased with the increasing number of simulated SB cores and decreased substantially with larger prostate volume. Similarly, the percent of ROIs sampled increased with the increasing number of simulated SB cores and was lower for prostate volumes ≥60 cm3 compared to glands <60 cm3.
Conclusions
The effect of the number of SBs performed on detecting csPCa varies largely with gland volume. The common 12-core SB can achieve adequate cancer detection and sampling of ROIs in smaller glands, but not in larger glands. In addition to TB or in mpMRI-negative patients, the number of SB cores can be adjusted to prostate volume. Performing 12-core SB alone in ≥60 cm3 glands results in inadequate sampling and potential PCa underdiagnosis.
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Data availability
Limited datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request and with the permission of Johns Hopkins Medicine.
References
Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, et al. MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med. 2018;378:1767–77. https://www.ncbi.nlm.nih.gov/pubmed/29552975.
Padhani AR, Barentsz J, Villeirs G, Rosenkrantz AB, Margolis DJ, Turkbey B, et al. PI-RADS Steering Committee: the PI-RADS multiparametric MRI and MRI-directed biopsy pathway. Radiology. 2019;292:464–74. https://www.ncbi.nlm.nih.gov/pubmed/31184561.
Romero D. Targeted biopsy reduces detection of clinically insignificant cancer. Nat Rev Clin Oncol. 2023;20:63. https://www.ncbi.nlm.nih.gov/pubmed/36600007.
Wei JT, Barocas D, Carlsson S, Coakley F, Eggener S, Etzioni R, et al. Early detection of prostate cancer: AUA/SUO guideline part II: considerations for a prostate biopsy. J Urol. 2023;210:54–63. https://doi.org/10.1097/ju0000000000003492.
Ahdoot M, Wilbur AR, Reese SE, Lebastchi AH, Mehralivand S, Gomella PT, et al. MRI-targeted, systematic, and combined biopsy for prostate cancer diagnosis. N Engl J Med. 2020;382:917–28.
Masone MC. Can systematic biopsy be omitted from the prostate cancer diagnostic pathway? Nat Rev Urol. 2023;20:65–5.
Han M, Chang D, Kim C, Lee BJ, Zuo Y, Kim HJ. Pet al: Geometric evaluation of systematic transrectal ultrasound-guided prostate biopsy. J Urol. 2012;188:2404–9.
Bott SR, Young MP, Kellett MJ, Parkinson MC. Contributors to the UCLHTRPD: anterior prostate cancer: is it more difficult to diagnose? BJU Int. 2002;89:886–9. https://www.ncbi.nlm.nih.gov/pubmed/12010233.
Kongnyuy M, Sidana A, George AK, Muthigi A, Iyer A, Fascelli M, et al. The significance of anterior prostate lesions on multiparametric magnetic resonance imaging in African-American men. Urol Oncol. 2016;34:254 e215–21. https://www.ncbi.nlm.nih.gov/pubmed/26905304.
Lee AYM, Chen K, Tan YG, Lee HJ, Shutchaidat V, Fook-Chong S, et al. Reducing the number of systematic biopsy cores in the era of MRI targeted biopsy-implications on clinically-significant prostate cancer detection and relevance to focal therapy planning. Prostate Cancer Prostatic Dis. 2022;25:720–6. https://www.ncbi.nlm.nih.gov/pubmed/35027690.
Drost FH, Osses D, Nieboer D, Bangma CH, Steyerberg EW, Roobol MJ, et al. Prostate magnetic resonance imaging, with or without magnetic resonance imaging-targeted biopsy, and systematic biopsy for detecting prostate cancer: a cochrane systematic review and meta-analysis. Eur Urol. 2020;77:78–94. https://www.ncbi.nlm.nih.gov/pubmed/31326219 .
Ahmed HU, Emberton M, Kepner G, Kepner J. A biomedical engineering approach to mitigate the errors of prostate biopsy. Nat Rev Urol. 2012;9:227–31. https://doi.org/10.1038/nrurol.2012.3.
Gore JL, Shariat SF, Miles BJ, Kadmon D, Jiang N, Wheeler TM, et al. Optimal combinations of systematic sextant and laterally directed biopsies for the detection of prostate cancer. J Urol. 2001;165:1554–9.
Kanao K, Eastham JA, Scardino PT, Reuter VE, Fine SW. Can transrectal needle biopsy be optimised to detect nearly all prostate cancer with a volume of ≥0.5 mL? A three-dimensional analysis. BJU Int. 2013;112:898–904.
Chang D, Chong X, Kim C, Jun C, Petrisor D, Han M, et al. Geometric systematic prostate biopsy. Minim Invasive Ther Allied Technol. 2016;26:78–85. http://urobotics.urology.jhu.edu/pub/2016-chang-mitat.pdf.
Stoianovici D, Chang D, Han M. Geometric biopsy plan optimization. USA Patent 10,751,034 B2 (C13488) 2020. https://urobotics.urology.jhu.edu/pub/2020-stoianovici-US10751034.pdf.
Lim S, Jun C, Chang D, Petrisor D, Han M, Stoianovici D. Robotic transrectal ultrasound guided prostate biopsy. IEEE Trans Biomed Eng. 2019;66:2527–37.
Rezaee ME, Macura KJ, Trock B, Petrisor D, Burnett AL, Herati A, et al. Abstract#11: randomized controlled trial of trus-robot vs. uronav biopsy in the diagnosis of clinically significant prostate cancer, preliminary results. In Proceedings of 36th annual meeting of Engineering and Urology Society. 2023; https://urobotics.urology.jhu.edu/pub/2023-rezaee-EUS.pdf.
American College of Radiology: Prostate Imaging Reporting & Data System (PI-RADS Version 2.1). https://www.acr.org/-/media/ACR/Files/RADS/Pi-RADS/PIRADS-v2-1.pdf .
Epstein J, Walsh P, Carmichael M, Brendler C. Pathologic and clinical findings to predict tumor extent of nonpalpable (stage T1c) prostate cancer. JAMA. 1994;271:368–74.
Stricker HJ, Ruddock LJ, Wan J, Belville WD:. Detection of non-palpable prostate cancer. a mathematical and laboratory model. Br J Urol. 1993;71:43–6. https://bjui-journals.onlinelibrary.wiley.com/doi/abs/10.1111/j.1464-410X.1993.tb15878.x.
Coogan CL, Latchamsetty KC, Greenfield J, Corman JM, Lynch B, Porter CR. Increasing the number of biopsy cores improves the concordance of biopsy Gleason score to prostatectomy Gleason score. BJU Int. 2005;96:324–7. https://www.ncbi.nlm.nih.gov/pubmed/16042723.
Vashi AR, Wojno KJ, Gillespie B, Oesterling JE. A model for the number of cores per prostate biopsy based on patient age and prostate gland volume. J Urol. 1998;159:920–4.
Andriole GL. Pathology: the lottery of conventional prostate biopsy. Nat Rev Urol. 2009;6:188–9. https://www.ncbi.nlm.nih.gov/pubmed/19352393.
Bjurlin MA, Wysock JS, Taneja SS. Optimization of prostate biopsy: review of technique and complications. Urol Clin North Am. 2014;41:299–313.
de la Taille A, Antiphon P, Salomon L, Cherfan M, Porcher R, Hoznek A, et al. Prospective evaluation of a 21-sample needle biopsy procedure designed to improve the prostate cancer detection rate. Urology. 2003;61:1181–6. https://www.sciencedirect.com/science/article/pii/S0090429503001080.
Fleshner N, Klotz L. Role of “saturation biopsy” in the detection of prostate cancer among difficult diagnostic cases. Urology. 2002;60:93–7. https://www.sciencedirect.com/science/article/pii/S0090429502016254.
American Urological Association: Practicing urologists in the United States. https://www.AUAnet.org/common/pdf/research/census/State-Urology-Workforce-Practice-US.pdf. Accessed 2 June 2023.
Rosenkrantz AB, Lepor H, Huang WC, Taneja SS. Practical barriers to obtaining pre-biopsy prostate MRI: assessment in over 1,500 consecutive men undergoing prostate biopsy in a single urologic practice. Urol Int. 2016;97:247–8. https://doi.org/10.1159/000446003.
Raman AG, Sarma KV, Raman SS, Priester AM, Mirak SA, Riskin-Jones HH, et al. Optimizing spatial biopsy sampling for the detection of prostate cancer. J Urol. 2021;206:595–603. https://www.ncbi.nlm.nih.gov/pubmed/33908801.
Panebianco V, Barchetti G, Simone G, Del Monte M, Ciardi A, Grompone MD, et al. Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What’s Next? Eur Urol. 2018;74:48–54. https://www.ncbi.nlm.nih.gov/pubmed/29566957.
Baboudjian M, Uleri A, Beauval JB, Touzani A, Diamand R, Roche JB, et al. MRI lesion size is more important than the number of positive biopsy cores in predicting adverse features and recurrence after radical prostatectomy: implications for active surveillance criteria in intermediate-risk patients. Prostate Cancer Prostatic Dis. https://doi.org/10.1038/s41391-023-00693-z 2023.
Cheng E, Davuluri M, Lewicki PJ, Hu JC, Basourakos SP. Developments in optimizing transperineal prostate biopsy. Curr Opin Urol. 2022;32:85–90.
Kepner G, Kepner J. Transperineal prostate biopsy: analysis of a uniform core sampling pattern that yields data on tumor volume limits in negative biopsies. Theor Biol Med Model. 2010;17:7–23.
Acknowledgements
Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA247959.
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MER – Conducted prostate biopsies for clinical trial. Contributed to data analysis interpretation and development of manuscript. KJM – Reviewed prostate-related imaging for clinical trial. Contributed to development of manuscript. BJT – Performed statistical analysis, interpreted data analysis, and contributed to development of the manuscript. AH – Conducted prostate biopsies for clinical trial. Contributed to development of manuscript. CPP – Conducted prostate biopsies for clinical trial. Contributed to development of manuscript. MH – Conducted prostate biopsies for clinical trials. Conceived and supervised all aspects of the project, including development of the manuscript. DS – Conceived and supervised all aspects of the project, including development of the manuscript. Constructed all study figures.
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Under a license agreement between Eigen Health Services and Johns Hopkins University, author DS and the University are entitled to royalty distributions related to technology described in this article. This arrangement has been reviewed and approved by the JHU in accordance with its conflict-of-interest policies.
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Rezaee, M.E., Macura, K.J., Trock, B.J. et al. Likelihood of sampling prostate cancer at systematic biopsy as a function of gland volume and number of cores. Prostate Cancer Prostatic Dis (2024). https://doi.org/10.1038/s41391-023-00780-1
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DOI: https://doi.org/10.1038/s41391-023-00780-1
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