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Margolis, Daniel

https://orcid.org/0000-0001-8212-707X

Mayo Clinic

Weill Cornell Medicine

Citations 3

Biparametric vs Multiparametric MRI for Prostate Cancer Diagnosis
Ng, Alexander , Asif, Aqua , Gómez‐Gómez, Enrique , Budäus, Lars, Barrett, Tristan , Radtke, Jan Philipp , Kesch, Claudia, Pham, Tho, Tewari, Ash , Cabello, M.A. Rodríguez , Mynderse, Lance A. , Borghi, Marcelo, Boesen, Lars , Singh, Paras B. , Renard‐Penna, Raphaële , Leow, Jeffrey J. , Pecoraro, Martina , Giannarini, Gianluca , Perlis, Nathan , López-Ruiz, Daniel, Rossiter, Marimo , Khetrapal, Pramit , Chan, Vinson Wai‐Shun , Haider, Aiman , Clarke, Caroline S. , Dickinson, Louise , Mitra, Anita, Margolis, Daniel J. A., Takwoingi, Yemisi , Emberton, Mark , Allen, Clare, Moore, Caroline M. , Kasivisvanathan, Veeru , Collaborators, PRIME Study Group, Briganti, Alberto , Evangelista, Alex, Freeman, Alex , Kirkham, Alex, Zlotta, Alexandre R. , Grey, Alistair, Ryan, Andrew, Borrelli, Antonella , Andrews, Antonette, Finelli, Antonio , Sancho, Arturo Platas, Baring, Ashley, Roy, Ashoke, Issa, Balqiisa, Israël, Bas , González, Carolina Aulló, English, Caroline, Zuiani, Chiara , Amate, Cristina, Yong, Daniel , Rozze, Davide, Lomas, Derek J. , Cannoletta, Donato , Chang, Eileen Wang, Chun, Felix, Zussino, Gaia , Antoch, Gerald , Gandaglia, Giorgio, Sauter, Guido , Thevarajah, Harini, Sorrell, Harriet, McBain, Hazel, Reis, Henning , Pita, Hernando Ríos , Potyka, Ingrid , Collavino, Jeanlou, Koshy, Jincy, Weng, Jing Yi , Withington, John, Egmond, Joke van, Piper, Jon, O’Brien, Jonathan , Rosa, José Valero, Sanz, Juan Luis , Quesada, Juan Mesa, Jannusch, Kai , Corr, Kateri , Haines, Kenneth, Umutlu, Lale , Quarta, Leonardo, Casarotto, Letizia, Gimeno, Linda , Moretti, Lucas, Laschena, Ludovica , Drewes, Lukas, Ostos, Manuel Sanchez, Peris, M., Volpacchio, Mariano , Prentice, Mark, Graefen, Markus , Soligo, Matteo, Boschheidgen, Matthias , Singhera, M., Wenzel, Mike, Fatterpekar, Monali, Al‐Nader, Mulham , Kachanov, Mykyta , Shaida, Nadeem , Muirhead, Nicola , Vasdev, Nikhil , Sanmugalingam, Nimalan , Nørgaard, Nis , Vicente, Pete, Incze, Peter , Ryan, Philip, Rouvier, Philippe , Mead, Phoebe, Mozer, Pierre, Viana, Públio César Cavalcante , Jiménez, Rafael E. , Novotta, Réka, Huang, Richard, O’Sullivan, Richard, Jepsen, Rikke Karlin , Frese, Robert, Clow, Rosemary, Al‐Monajjed, Rouvier , Lewis, Sara , Cashman, Sophia, Pizzolitto, Stefano, Lelie, S., Lindner, Sydney, Al‐Hammouri, Tarek , Sánchez, Teresa González, Reid, Thomas, McClure, Timothy, Maurer, Tobias , Peruzzi, Valeria, Tan, Wei Phin, Nahas, William Carlos, Chong, Yew Lam, Agarwal, Ridhi , Panebianco, Valeria , Girometti, Rossano , Ghai, Sangeet , COBELLI, Francesco DE , Pham, Tho, Taneja, Samir S. , Hu, Jim C. , Dias, Adriano Basso , Falkenbach, Fabian , Kastner, Christof , Schimmöller, Lars , Nathan, Arjun , Punwani, Shonit , Brew‐Graves, Chris , Brembilla, Giorgio , Margolis, Daniel , Giganti, Francesco , Collaborators, PRIME Study Group, Crestani, Alessandro , Sciarra, Alessandro , Evangelista, Alex, Kirkham, Alex P. S. , Grey, Alistair, Blanca, Ana , Bjartell, Anders , Tong, Angela , Warren, Anne Y. , Ciardi, Antonio , Rannikko, Antti , Stabile, Armando , Villers, Arnauld A. , Issa, Balqiisa, Hadaschik, Boris Alexander , English, Caroline L, Lee, Chau Hung , Caris, Christien T.M. , Stempel, Conrad von , Rozze, Davide, Messina, Emanuele , Chun, Felix, Gandaglia, Giorgio, Robert, G. , Caglič, Iztok , Theysohn, Jens Matthias , Grummet, Jeremy , Koshy, Jincy, Wilkinson, John, Withington, John, Egmond, Joke van, Deeks, Jonathan J , O'Brien, Jonathan, Quesada, Juan Mesa, Quarta, Leonardo , Orecchia, Luca , Moretti, Lucas, Rooij, Maarten de , Bicchetti, Marco , Gatti, Marco , Peris, María de los Desamparados Esteban, Roethke, Matthias Claudius , Monte, Maurizio Del, Wenzel, Mike, Takahashi, Naoki , Fleshner, Neil , Albers, Peter , Mead, Phoebe, Visschere, Pieter De , Huang, Richard, Shah, Syed Ahmar , Sanchez, Teresa González, Bathala, Tharakeswara K , Kwast, Theodorus van der , Reid, Thomas, Løgager, Vibeke , Prabhu, Vinay , Wagaskar, Vinayak Gorakhnath , Tan, Wei Phin, Nahas, William Carlos, Witjes, Wim P.J. , Chong, Yew Lam

JAMA | September 10, 2025 | Volume: 334 | Issue: 13 | Pages: 1170

10.1001/jama.2025.13722 Get It

Importance Multiparametric magnetic resonance imaging (MRI), with or without prostate biopsy, has become the standard of care for diagnosing clinically significant prostate cancer. Resource capacity limits widespread adoption. Biparametric MRI, which omits the gadolinium contrast sequence, is a shorter and cheaper alternative offering time-saving capacity gains for health systems globally. Objective To assess whether biparametric MRI is noninferior to multiparametric MRI for diagnosis of clinically significant prostate cancer. Design, Setting, and Participants A prospective, multicenter, within-patient, noninferiority trial of biopsy-naive men from 22 centers (12 countries) with clinical suspicion of prostate cancer (elevated prostate-specific antigen [PSA] level and/or abnormal digital rectal examination findings) from April 2022 to September 2023, with the last follow-up conducted on December 3, 2024. Interventions Participants underwent multiparametric MRI, comprising T2-weighted, diffusion-weighted, and dynamic contrast–enhanced (DCE) sequences. Radiologists reported abbreviated biparametric MRI first (T2-weighted and diffusion-weighted), blinded to the DCE sequence. After unblinding, radiologists reported the full multiparametric MRI. Patients underwent a targeted biopsy with or without systematic biopsy if either biparametric MRI or multiparametric MRI was suggestive of clinically significant prostate cancer. Main outcomes and measures The primary outcome was the proportion of men with clinically significant prostate cancer. Secondary outcomes included the proportion of men with clinically insignificant cancer. The noninferiority margin was 5%. Results Of 555 men recruited, 490 were included for primary outcome analysis. Median age was 65 (IQR, 59-70) years and median PSA level was 5.6 (IQR, 4.4-8.0) ng/mL. The proportion of patients with abnormal digital rectal examination findings was 12.7%. Biparametric MRI was noninferior to multiparametric MRI, detecting clinically significant prostate cancer in 143 of 490 men (29.2%), compared with 145 of 490 men (29.6%) (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points; P = .50). Biparametric MRI detected clinically insignificant cancer in 45 of 490 men (9.2%), compared with 47 of 490 men (9.6%) with the use of multiparametric MRI (difference, −0.4 [95% CI, −1.2 to 0.4] percentage points). Central quality control demonstrated that 99% of scans were of adequate diagnostic quality. Conclusion and relevance In men with suspected prostate cancer, provided image quality is adequate, an abbreviated biparametric MRI scan, with or without targeted biopsy, could become the new standard of care for prostate cancer diagnosis. With approximately 4 million prostate MRIs performed globally annually, adopting biparametric MRI could substantially increase scanner throughput and reduce costs worldwide. Trial registration ClinicalTrials.gov Identifier: NCT04571840
Management of Patients With a Negative Multiparametric Prostate MRI Examination: AJR Expert Panel Narrative Review
Padhani, Anwar R. , Tempany, Clare M. , Tan, Nelly , Pollock, Jordan Riley , Margolis, Daniel , Woo, Sungmin , Gorin, Michael A.

American Journal of Roentgenology | October 25, 2023 | Volume: 223 | Issue: 2 | Pages: No page available

10.2214/ajr.23.29969 Get It

Optimum Imaging Strategies for Advanced Prostate Cancer: ASCO Guideline
Trabulsi, Edouard J. , Rosenkrantz, Andrew B. , Verma, Sadhna , Margolis, Daniel , Froemming, Adam T. , Oto, Aytekin , Milowsky, Matthew I. , Schlemmer, Heinz-Peter, Eiber, Matthias , Padhani, Anwar R. , Jain, Suneil , Pinto, Peter, Keegan, Kirk A., Porter, Christopher R., Jani, Ashesh B. , Kamradt, Jeffrey M., Sholes, Westley, Vargas, H. Alberto, Froemming, Adam, Rumble, R. Bryan , Jadvar, Hossein , Hope, Thomas A. , Pomper, Martin G. , Türkbey, Barış , Purysko, Andrei Saraiva , Morris, Michael J. , Choyke, Peter L. , Oldan, Jorge Daniel , Fanti, Stefano , Coleman, Jonathan , Bauman, Glenn

Journal of Clinical Oncology | January 15, 2020 | Volume: 38 | Issue: 17 | Pages: 1963-1996

10.1200/jco.19.02757 Get It

PURPOSE Provide evidence- and expert-based recommendations for optimal use of imaging in advanced prostate cancer. Due to increases in research and utilization of novel imaging for advanced prostate cancer, this guideline is intended to outline techniques available and provide recommendations on appropriate use of imaging for specified patient subgroups. METHODS An Expert Panel was convened with members from ASCO and the Society of Abdominal Radiology, American College of Radiology, Society of Nuclear Medicine and Molecular Imaging, American Urological Association, American Society for Radiation Oncology, and Society of Urologic Oncology to conduct a systematic review of the literature and develop an evidence-based guideline on the optimal use of imaging for advanced prostate cancer. Representative index cases of various prostate cancer disease states are presented, including suspected high-risk disease, newly diagnosed treatment-naïve metastatic disease, suspected recurrent disease after local treatment, and progressive disease while undergoing systemic treatment. A systematic review of the literature from 2013 to August 2018 identified fully published English-language systematic reviews with or without meta-analyses, reports of rigorously conducted phase III randomized controlled trials that compared ≥ 2 imaging modalities, and noncomparative studies that reported on the efficacy of a single imaging modality. RESULTS A total of 35 studies met inclusion criteria and form the evidence base, including 17 systematic reviews with or without meta-analysis and 18 primary research articles. RECOMMENDATIONS One or more of these imaging modalities should be used for patients with advanced prostate cancer: conventional imaging (defined as computed tomography [CT], bone scan, and/or prostate magnetic resonance imaging [MRI]) and/or next-generation imaging (NGI), positron emission tomography [PET], PET/CT, PET/MRI, or whole-body MRI) according to the clinical scenario.