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Abstract
Abstract Title
A Biobot-guided biopsy dataset analysis of the influence of Prostate Volume on MRI Lesion Detection and ISUP Grading Accuracy in Prostate Cancer
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Oncology: Prostate
Author's Information
Number of Authors (including submitting/presenting author) *
4
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Australia
Co-author 1
Matthieu Mo bryanjmo@gmail.com Toowoomba Hospital Urology Toowoomba Australia *
Co-author 2
Nikhil Sapre nikhil.sapre@health.qld.gov.au Toowoomba Hospital Urology Toowoomba Australia -
Co-author 3
Jacob Gleeson jacob.gleeson@health.qld.gov.au St Vincent's Hospital Urology Toowoomba Australia -
Co-author 4
Devang Desai d.desai@toowoombaspecialists.com.au Toowoomba Hospital Urology Toowoomba Australia -
Co-author 5
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Abstract Content
Introduction
Accurate detection and grading of prostate cancer remain critical challenges in urologic oncology, with multiparametric MRI (MRIp) playing a central role in pre-biopsy evaluation. However, emerging evidence suggests that prostate volume significantly impacts MRI sensitivity and ISUP grading accuracy, particularly in larger glands where lesion conspicuity may be reduced [1]. Tumor underestimation in MRIp can lead to misclassification and suboptimal management decisions[2]. As PSMA PET imaging gains prominence, its utility in overcoming volumetric limitations warrants exploration. This study investigates how prostate size influences MRI performance using a Biobot-guided biopsy and radical prostatectomy dataset, aiming to optimize diagnostic pathways.
Materials and Methods
A prospective analysis was conducted using the Biobot prostate cancer database, encompassing 56 patients who underwent multiparametric MRI (mpMRI), PSMA PET, and radical prostatectomy (RP) between October 2022 and February 2025. Patients were stratified by prostate volume into three groups: ≤20 cc, 21–29 cc, and ≥30 cc based on MRI measurements. mpMRI-assigned ISUP grade groups (1–2 vs. 3–5) were compared to final RP histopathology to evaluate diagnostic accuracy. Accuracy was categorized as complete, underestimated, or overestimated. Subgroup analysis examined the correlation between prostate volume and MRI grading performance, aiming to identify patterns of diagnostic discrepancy across gland sizes.
Results
In this cohort of 56 patients, MRI accuracy in predicting ISUP grade varied by prostate volume. In prostates ≤20 cc, MRI correctly identified ISUP grade in 71% of ISUP 1–2 and 82% of ISUP 3–5 cases. For volumes 21–29 cc, accuracy was 68% and 77%, respectively. In prostates ≥30 cc, accuracy declined to 60% for ISUP 1–2 and 70% for ISUP 3–5. Underestimation occurred more frequently in larger prostates. This difference in accuracy across volume groups was statistically significant (p = 0.026), suggesting that increasing prostate size negatively affects MRI performance in grading prostate cancer severity.
Conclusions
MRI accuracy in ISUP grading declines with increasing prostate volume, particularly due to underestimation in larger glands. These findings highlight the importance of considering prostate size when interpreting MRI results and support the use of adjunct imaging or biopsy strategies in larger prostates.
Keywords
Biobot, prostate biopsy, MRI prostate, PSMA PET, ISUP, prostate lesion detection, grading accuracy, prostate cancer
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Character Count
2380
Vimeo Link
Presentation Details
Session
Free Paper Podium(17): Oncology Prostate (E)
Date
Aug. 16 (Sat.)
Time
16:30 - 16:36
Presentation Order
11