Oerther B, Engel H, Wilpert C, Nedelcu A, Sigle A, Grimm R
Cancers (Basel). 2025; 17(5).
PMID: 40075662
PMC: 11899360.
DOI: 10.3390/cancers17050815.
Yusim I, Mazor E, Frumkin E, Hefer B, Li S, Novack V
Front Oncol. 2024; 14:1496479.
PMID: 39723377
PMC: 11668676.
DOI: 10.3389/fonc.2024.1496479.
Savin Z, Shem-Tov Dlugy A, Grinbaum M, Mendelson T, Lifshitz K, Mano R
Diagnostics (Basel). 2024; 14(22).
PMID: 39594233
PMC: 11592533.
DOI: 10.3390/diagnostics14222567.
Lee J, Lee C, Song W, Kang M, Sung H, Jeong B
Prostate Int. 2024; 12(3):134-138.
PMID: 39498351
PMC: 11531972.
DOI: 10.1016/j.prnil.2024.04.002.
Malewski W, Milecki T, Tayara O, Poletajew S, Kryst P, Tokarczyk A
Curr Oncol. 2024; 31(9):5171-5194.
PMID: 39330011
PMC: 11430858.
DOI: 10.3390/curroncol31090383.
Biopsy strategies in the era of mpMRI: a comprehensive review.
Windisch O, Valerio M, Yee C, Gontero P, Bakir B, Kastner C
Prostate Cancer Prostatic Dis. 2024; .
PMID: 39232094
DOI: 10.1038/s41391-024-00884-2.
Comparing Two Targeted Biopsy Schemes for Detecting Clinically Significant Prostate Cancer in Magnetic Resonance Index Lesions: Two- to Four-Core versus Saturated Transperineal Targeted Biopsy.
Morote J, Paesano N, Picola N, Miro B, Abascal J, Servian P
Cancers (Basel). 2024; 16(13).
PMID: 39001369
PMC: 11240532.
DOI: 10.3390/cancers16132306.
Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.
Schrader A, Netzer N, Hielscher T, Gortz M, Zhang K, Schutz V
Eur Radiol. 2024; 34(12):7909-7920.
PMID: 38955845
PMC: 11557625.
DOI: 10.1007/s00330-024-10818-0.
Growth Patterns of Prostate Cancers Undetected by Prostate 3T Multiparametric MRI.
Chang K, Hsieh P, Lin W, Chang H
In Vivo. 2024; 38(2):833-841.
PMID: 38418107
PMC: 10905436.
DOI: 10.21873/invivo.13508.
Clinical and economic impact of the introduction of pre-biopsy MRI-based assessment on a large prostate cancer centre diagnostic population and activity: 10 years on.
Orecchia L, Katz-Summercorn C, Grainger R, Fletcher P, Ippoliti S, Barrett T
World J Urol. 2024; 42(1):82.
PMID: 38358545
DOI: 10.1007/s00345-024-04772-1.
Nomograms for predicting clinically significant prostate cancer in men with PI-RADS-3 biparametric magnetic resonance imaging.
Liang Z, Feng T, Zhou Y, Yang Y, Sun Y, Zhou Z
Am J Cancer Res. 2024; 14(1):73-85.
PMID: 38323293
PMC: 10839314.
[Prostate Biopsy: General Consideration and Systematic Biopsy].
Ahn H
J Korean Soc Radiol. 2023; 84(6):1211-1219.
PMID: 38107682
PMC: 10721412.
DOI: 10.3348/jksr.2023.0094.
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer.
Kovacs B, Netzer N, Baumgartner M, Schrader A, Isensee F, Weisser C
Sci Rep. 2023; 13(1):19805.
PMID: 37957250
PMC: 10643562.
DOI: 10.1038/s41598-023-46747-z.
Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.
Netzer N, Eith C, Bethge O, Hielscher T, Schwab C, Stenzinger A
Eur Radiol. 2023; 33(11):7463-7476.
PMID: 37507610
PMC: 10598076.
DOI: 10.1007/s00330-023-09882-9.
Comparing 12-core and 20-core biopsy for prostate cancer diagnosis with transperineal MR/US fusion biopsy: assessing the effective number of systemic cores using propensity score matching.
Kwon H, Rhew S, Yoon C, Shin D, Bang S, Park Y
Int Urol Nephrol. 2023; 55(10):2465-2471.
PMID: 37340208
PMC: 10499967.
DOI: 10.1007/s11255-023-03674-2.
Detection Rate of Prostate Cancer in Repeat Biopsy after an Initial Negative Magnetic Resonance Imaging/Ultrasound-Guided Biopsy.
Gortz M, Huber A, Linz T, Schwab C, Stenzinger A, Goertz L
Diagnostics (Basel). 2023; 13(10).
PMID: 37238245
PMC: 10217194.
DOI: 10.3390/diagnostics13101761.
The design and validation of a low-cost trans perineal (TP) prostate biopsy simulator for training: improving trainees' confidence and cognitive targeting skills.
Ong K, Bald P, Dryhurst D, Ahmed S, Yusuf G, Lunawat R
World J Urol. 2023; 41(6):1533-1540.
PMID: 37129680
PMC: 10153043.
DOI: 10.1007/s00345-023-04387-y.
Learning Curve of Transperineal MRI/US Fusion Prostate Biopsy: 4-Year Experience.
Hsieh P, Li P, Lin W, Chang H, Chang C, Wu H
Life (Basel). 2023; 13(3).
PMID: 36983794
PMC: 10059778.
DOI: 10.3390/life13030638.
Landmarks in the evolution of prostate biopsy.
Connor M, Gorin M, Eldred-Evans D, Bass E, Desai A, Dudderidge T
Nat Rev Urol. 2023; 20(4):241-258.
PMID: 36653670
DOI: 10.1038/s41585-022-00684-0.
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique.
Hu L, Fu C, Song X, Grimm R, von Busch H, Benkert T
Cancer Imaging. 2023; 23(1):6.
PMID: 36647150
PMC: 9843860.
DOI: 10.1186/s40644-023-00527-0.