Visibility of mpMRI region of interest on ultrasound during cognitive fusion targeted biopsy predicts prostate cancer detection: a prospective single-center study

Siegel, R. L.; Giaquinto, A. N.; Jemal, A., Cancer statistics, 2024. CA: a cancer journal for clinicians 2024, 74 (1), 12–49.

PubMed  Google Scholar 

Press, B.; Rosenkrantz, A. B.; Huang, R.; Taneja, S. S., The ultrasound characteristics of regions identified as suspicious by magnetic resonance imaging (MRI) predict the likelihood of clinically significant cancer on MRI-ultrasound fusion-targeted biopsy. BJU Int 2019, 123 (3), 439–446.

Article  PubMed  Google Scholar 

Nam, J. K.; Song, W. H.; Lee, S. S.; Lee, H. J.; Kim, T. U.; Park, S. W., Impact of Ultrasonographic Findings on Cancer Detection Rate during Magnetic Resonance Image/Ultrasonography Fusion-Targeted Prostate Biopsy. The world journal of men’s health 2023, 41 (3), 743–749.

Article  PubMed  PubMed Central  Google Scholar 

Garcia-Reyes, K.; Nguyen, H. G.; Zagoria, R. J.; Shinohara, K.; Carroll, P. R.; Behr, S. C.; Westphalen, A. C., Impact of Lesion Visibility on Transrectal Ultrasound on the Prediction of Clinically Significant Prostate Cancer (Gleason Score 3 + 4 or Greater) with Transrectal Ultrasound-Magnetic Resonance Imaging Fusion Biopsy. J Urol 2018, 199 (3), 699–705.

Article  PubMed  Google Scholar 

Choi, M. H.; Lee, Y. J.; Jung, S. E.; Lee, J. Y.; Choi, Y. J., Prostate cancer detection rate according to lesion visibility using ultrasound and MRI. Clinical radiology 2019, 74 (6), 474–479.

Article  PubMed  Google Scholar 

Velarde, N.; Westphalen, A. C.; Nguyen, H. G.; Neuhaus, J.; Shinohara, K.; Simko, J. P.; Larson, P. E.; Magudia, K., US lesion visibility predicts clinically significant upgrade of prostate cancer by systematic biopsy. Abdom Radiol (NY) 2022, 47 (3), 1133–1141.

Article  PubMed  Google Scholar 

Nakano Junqueira, V. C.; Zogbi, O.; Cologna, A.; Dos Reis, R. B.; Tucci, S., Jr.; Reis, L. O.; Westphalen, A. C.; Muglia, V. F., Is a visible (hypoechoic) lesion at biopsy an independent predictor of prostate cancer outcome? Ultrasound Med Biol 2012, 38 (10), 1689–94.

Article  PubMed  Google Scholar 

Rouvière, O.; Puech, P.; Renard-Penna, R.; Claudon, M.; Roy, C.; Mège-Lechevallier, F.; Decaussin-Petrucci, M.; Dubreuil-Chambardel, M.; Magaud, L.; Remontet, L.; Ruffion, A.; Colombel, M.; Crouzet, S.; Schott, A. M.; Lemaitre, L.; Rabilloud, M.; Grenier, N., Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study. Lancet Oncol 2019, 20 (1), 100–109.

Article  PubMed  Google Scholar 

Anract, J.; Baures, M.; Barry Delongchamps, N.; Capiod, T., Microcalcifications, calcium-sensing receptor, and cancer. Cell calcium 2019, 82, 102051.

Article  PubMed  Google Scholar 

Lu, J.; Liao, J.; Chen, Y.; Li, J.; Huang, X.; Zhang, H.; Zhang, B., Risk factor analysis and prediction model for papillary thyroid carcinoma with lymph node metastasis. Frontiers in endocrinology 2023, 14, 1287593.

Article  PubMed  PubMed Central  Google Scholar 

Bai, X.; Wang, Y.; Song, R.; Li, S.; Song, Y.; Wang, H.; Tong, X.; Wei, W.; Ruan, L.; Zhao, Q., Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis. Clinical hemorheology and microcirculation 2023, 85 (2), 147–162.

Article  PubMed  PubMed Central  Google Scholar 

O’Grady, S.; Morgan, M. P., Microcalcifications in breast cancer: From pathophysiology to diagnosis and prognosis. Biochimica et biophysica acta. Reviews on cancer 2018, 1869 (2), 310–320.

Article  PubMed  Google Scholar 

Liu, Y.; Zhao, Y.; Fu, J.; Liu, S., Ultrasonographic differentiation and Ultrasound-based management of partially cystic thyroid nodules. Archives of endocrinology and metabolism 2021, 65 (3), 336–341.

PubMed  PubMed Central  Google Scholar 

Ahmed, H. U.; El-Shater Bosaily, A.; Brown, L. C.; Gabe, R.; Kaplan, R.; Parmar, M. K.; Collaco-Moraes, Y.; Ward, K.; Hindley, R. G.; Freeman, A.; Kirkham, A. P.; Oldroyd, R.; Parker, C.; Emberton, M., Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 2017, 389 (10071), 815–822.

Article  PubMed  Google Scholar 

Smolski, M.; Turo, R.; Whiteside, S.; Bromage, S.; Collins, G. N., Prevalence of prostatic calcification subtypes and association with prostate cancer. Urology 2015, 85 (1), 178–81.

Article  PubMed  Google Scholar 

Ghai, S.; Eure, G.; Fradet, V.; Hyndman, M. E.; McGrath, T.; Wodlinger, B.; Pavlovich, C. P., Assessing Cancer Risk on Novel 29 MHz Micro-Ultrasound Images of the Prostate: Creation of the Micro-Ultrasound Protocol for Prostate Risk Identification. J Urol 2016, 196 (2), 562–9.

Article  PubMed  Google Scholar 

Pepe, P.; Pepe, L.; Panella, P.; Pennisi, M., Can multiparametric ultrasound improve cognitive MRI/TRUS fusion prostate biopsy. Archivio italiano di urologia, andrologia: organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica 2020, 92 (2).

Barentsz, J. O.; Richenberg, J.; Clements, R.; Choyke, P.; Verma, S.; Villeirs, G.; Rouviere, O.; Logager, V.; Fütterer, J. J., ESUR prostate MR guidelines 2012. Eur Radiol 2012, 22 (4), 746–57.

Article  PubMed  PubMed Central  Google Scholar 

Turkbey, B.; Rosenkrantz, A. B.; Haider, M. A.; Padhani, A. R.; Villeirs, G.; Macura, K. J.; Tempany, C. M.; Choyke, P. L.; Cornud, F.; Margolis, D. J.; Thoeny, H. C.; Verma, S.; Barentsz, J.; Weinreb, J. C., Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol 2019, 76 (3), 340–351.

Article  PubMed  Google Scholar 

Pepe, P.; Candiano, G.; Pepe, L.; Pennisi, M.; Fraggetta, F., mpMRI PI-RADS score 3 lesions diagnosed by reference vs affiliated radiological centers: Our experience in 950 cases. Archivio italiano di urologia, andrologia: organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica 2021, 93 (2), 139–142.

Schoots, I. G.; Padhani, A. R., Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation. BJU Int 2021, 127 (2), 175–178.

Article  PubMed  Google Scholar 

Cornford, P.; van den Bergh, R. C. N.; Briers, E.; Van den Broeck, T.; Brunckhorst, O.; Darraugh, J.; Eberli, D.; De Meerleer, G.; De Santis, M.; Farolfi, A.; Gandaglia, G.; Gillessen, S.; Grivas, N.; Henry, A. M.; Lardas, M.; van Leenders, G.; Liew, M.; Linares Espinos, E.; Oldenburg, J.; van Oort, I. M.; Oprea-Lager, D. E.; Ploussard, G.; Roberts, M. J.; Rouvière, O.; Schoots, I. G.; Schouten, N.; Smith, E. J.; Stranne, J.; Wiegel, T.; Willemse, P. M.; Tilki, D., EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer-2024 Update. Part I: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol 2024, 86 (2), 148–163.

Article  PubMed  Google Scholar 

Pepe, P.; Pepe, L.; Tamburo, M.; Marletta, G.; Pennisi, M.; Fraggetta, F., Targeted prostate biopsy: 68Ga-PSMA PET/CT vs. mpMRI in the diagnosis of prostate cancer. Archivio italiano di urologia, andrologia: organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica 2022, 94 (3), 274–277.

Emmett, L.; Buteau, J.; Papa, N.; Moon, D.; Thompson, J.; Roberts, M. J.; Rasiah, K.; Pattison, D. A.; Yaxley, J.; Thomas, P.; Hutton, A. C.; Agrawal, S.; Amin, A.; Blazevski, A.; Chalasani, V.; Ho, B.; Nguyen, A.; Liu, V.; Lee, J.; Sheehan-Dare, G.; Kooner, R.; Coughlin, G.; Chan, L.; Cusick, T.; Namdarian, B.; Kapoor, J.; Alghazo, O.; Woo, H. H.; Lawrentschuk, N.; Murphy, D.; Hofman, M. S.; Stricker, P., The Additive Diagnostic Value of Prostate-specific Membrane Antigen Positron Emission Tomography Computed Tomography to Multiparametric Magnetic Resonance Imaging Triage in the Diagnosis of Prostate Cancer (PRIMARY): A Prospective Multicentre Study. Eur Urol 2021, 80 (6), 682–689.

Article  PubMed  Google Scholar 

Emmett, L.; Papa, N.; Hope, T. A.; Fendler, W.; Calais, J.; Burger, I.; Eiber, M.; Barbato, F.; Moon, D.; Counter, W.; John, N.; Xue, A.; Franklin, A.; Thompson, J.; Rasiah, K.; Frydenberg, M.; Yaxley, J.; Buteau, J.; Agrawal, S.; Ho, B.; Nguyen, A.; Liu, V.; Lee, J.; Woo, H.; Hsiao, E.; Sutherland, T.; Perry, E.; Stricker, P.; Hofman, M. S.; Kasivisvanathan, V.; Roberts, M.; Murphy, D., Beyond Prostate Imaging Reporting and Data System: Combining Magnetic Resonance Imaging Prostate Imaging Reporting and Data System and Prostate-Specific Membrane Antigen-Positron Emission Tomography/Computed Tomography PRIMARY Score in a Composite (P) Score for More Accurate Diagnosis of Clinically Significant Prostate Cancer. J Urol 2024, 212 (2), 299–309.

Hamoen, E. H. J.; de Rooij, M.; Witjes, J. A.; Barentsz, J. O.; Rovers, M. M., Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis. Eur Urol 2015, 67 (6), 1112–1121.

Article  PubMed  Google Scholar 

Epstein, J. I.; Egevad, L.; Amin, M. B.; Delahunt, B.; Srigley, J. R.; Humphrey, P. A., The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System. The American journal of surgical pathology 2016, 40 (2), 244– 52.

Roobol, M. J.; Verbeek, J. F. M.; van der Kwast, T.; Kümmerlin, I. P.; Kweldam, C. F.; van Leenders, G., Improving the Rotterdam European Randomized Study of Screening for Prostate Cancer Risk Calculator for Initial Prostate Biopsy by Incorporating the 2014 International Society of Urological Pathology Gleason Grading and Cribriform growth. Eur Urol 2017, 72 (1), 45–51.

Article  PubMed  Google Scholar 

Woods, J. E.; Soh, S.; Wheeler, T. M., Distribution and significance of microcalcifications in the neoplastic and nonneoplastic prostate. Archives of pathology & laboratory medicine 1998, 122 (2), 152–5.

Google Scholar 

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