| Literature DB >> 27236302 |
Nissar Sheikh1, Cheng Wei2, Magdalena Szewczyk-Bieda2,3, Annie Campbell4, Shaukat Memon1, Stephen Lang5, Ghulam Nabi6.
Abstract
PURPOSE: Transperineal template prostate (TPB) biopsy has been shown to improve prostate cancer detection in men with rising PSA and previous negative TRUS biopsies. Diagnostic performance of this approach especially MR imaging and using reliable reference standard remains scantly reported.Entities:
Keywords: Diffusion-weighted imaging (DWI); Multiparametric MRI (mpMRI); Prostate cancer (PCa); T2-weighted image (T2WI); Transperineal template biopsy (TPB); Transrectal ultrasound (TRUS)
Mesh:
Year: 2016 PMID: 27236302 PMCID: PMC5272897 DOI: 10.1007/s00345-016-1855-x
Source DB: PubMed Journal: World J Urol ISSN: 0724-4983 Impact factor: 4.226
Characteristics of the study cohort
| Number of patients (%) | 200 (100 %) |
| Age, year, mean (range) | 66 (48–78) |
| PSA level, ng/ml, median (range) | 12.5 (8–36) |
| Prostate volume, cc, median (range) | 45 (23–200) |
| Prostate size | |
| Left–right, mm, median (IQR) | 55 (52–60) |
| Apex–base, mm, median (IQR) | 42 (38–47) |
| Anterior–posterior, mm, median (IQR) | 42 (38–47) |
| Number of previous negative TRUS biopsies (%) | |
| 1 | 160 (80 %) |
| 2 | 26 (13 %) |
| 3 | 14 (7 %) |
Fig. 1Flow chart of study. One of the prostate lesions shows in T2-weighted MR images (a, red arrow); template prostate biopsy (b, red mass area); prostatectomy specimen slice (c, red arrow); and histology photo (d, red arrow). Asterisk: Pre-TPB is within 8 weeks of previous negative TRUS biopsies
Fig. 2Steps of patient-specific molds fabrication and histopathological sectioning—1 segmentation of MRI data in biomedical software MIMICS, 2 mold fabrication in CAD software SolidWorks, 3 3D printout from rapid prototyping machine MakerBot, 4 post-radical prostatectomy specimen before dyeing and mold placement, 5 slicing of prostate specimen with a single blade, 6 sliced sections shown in the mold and 7 specimen slices arranged from apex to base
Fig. 3Segmentation of the prostate (green area) in three different views of MR imaging, from left to right axial, coronal and sagittal
Fig. 4Patient outcome and lesion detection in different methods
Fig. 5Distribution of cancer foci in 36 patients with negative MRI and positive TPB
Number of foci of prostate cancer (PIRAD score 3 or more) correctly detected by template biopsies (TPB) and multiparametric MRI (mpMRI) versus histopathology of laparoscopic radical prostatectomy (LRP)
| Gleason grade | Size of lesions | mpMRI | TPB | LRP (reference) | |||
|---|---|---|---|---|---|---|---|
| Anterior | Posterior | Anterior | Posterior | Anterior | Posterior | ||
| Gleason 6 | <5 mm | 0 (0 %) | 3 (50 %) | 2 (67 %) | 3 (50 %) | 3 | 6 |
| ≥5 mm | 4 (80 %) | 4 (100 %) | 5 (100 %) | 3 (75 %) | 5 | 4 | |
| Gleason 7 | <5 mm | 2 (50 %) | 3 (38 %) | 3 (75 %) | 5 (63 %) | 4 | 8 |
| ≥5 mm | 6 (100 %) | 7 (100 %) | 6 (100 %) | 5 (71 %) | 6 | 7 | |
| Gleason 8 or more | <5 mm | 0 (0 %) | 0 (0 %) | 1 (100 %) | 1 (33 %) | 1 | 3 |
| ≥5 mm | 1 (100 %) | 3 (75 %) | 0 (0 %) | 2 (50 %) | 1 | 4 | |
| Sub-total | 13 (65 %) | 20 (63 %) | 17 (85 %) | 19 (59 %) | 20 | 32 | |
| Total | 33 (64 %) | 36 (70 %) | 52 | ||||