Prostate biopsy is the definitive examination to establish the diagnosis of prostate cancer, but up to 40% of these biopsies overestimate or underestimate the severity of the disease. A novel biopsy needle system captures substantially more tissue than standard of care needles, but it is important to assess the retrieval of tissue for pathologic analyses. This study will compare quality and quantity of tissue retrieved by both systems. Further, tissue will be analyzed using computational pathology algorithms for atypical small acinar proliferation and Gleason scores in terms of tissue area, tissue length, and tissue tortuosity.
Prostate tissue captured in needle biopsy procedures are used to diagnose prostate cancer, but current biopsy systems (standard of care control device) have been shown to underperform when compared to a new novel needle biopsy system (test device). The objectives of the study are to (1) compare tissue quality between test and control devices; (2) compare diagnostic ambiguity between the two devices; and (3) compare tissue area, length, and tortuosity from the samples with a computational pathology algorithm. Tissue analyses will be completed by pathologists blinded to the biopsy system used.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
20
Tissue is collected from the prostate by introducing a needle into the prostate and cutting out a sample
Atypical Small Acinar Proliferation
Presence of suspicious prostate gland cells that appear cancerous but are not definitive enough to diagnose cancer
Time frame: From enrollment to end of treatment at 1 day
Gleason Score
Pathologist scores the biopsy sample for the percentage of samples with a Gleason score of 7, 8, 9 or 10.
Time frame: From enrollment to end of treatment at 1 day
Tissue area and length
The amount of tissue retrieved by either biopsy systems-- area and length-- will be measured using computational pathology and compared
Time frame: From treatment to end of pathology review at 2 days
Tissue toruosity
Tortuosity will be ranked from Tier 1 (high quality) to Tier 4 (low quality) using the computational pathology algorithm.
Time frame: From treatment to end of pathology review at 2 days
Standard Pathology versus Computational Pathology Results
Tissue samples will be analyzed by standard pathology techniques and computational pathology and differences in values of diagnosis, Gleason score, percent tumor volume, presence of cribiform glands, and perineural invasion compared
Time frame: From treatment to end of pathology review at 2 days
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