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2. The Transatlantic Recommendations for Prostate Gland Evaluation with Magnetic Resonance Imaging After Focal Therapy (TARGET): A Systematic Review and International Consensus Recommendations

Author

Light, Alexander, Mayor, Nikhil, Cullen, Emma, Kirkham, Alex, Padhani, Anwar R., Arya, Manit, Bomers, Joyce G.R., Dudderidge, Tim, Ehdaie, Behfar, Freeman, Alex, Guillaumier, Stephanie, Hindley, Richard, Lakhani, Amish, Pendse, Douglas, Punwani, Shonit, Rastinehad, Ardeshir R., Rouvière, Olivier, Sanchez-Salas, Rafael, Schoots, Ivo G., Sokhi, Heminder K., Tam, Henry, Tempany, Clare M., Valerio, Massimo, Verma, Sadhna, Villeirs, Geert, van der Meulen, Jan, Ahmed, Hashim U., and Shah, Taimur T.

Published
2024
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3. The Role of Multiparametric MRI and MRI–targeted Biopsy in the Diagnosis of Radiorecurrent Prostate Cancer: An Analysis from the FORECAST Trial

Author

Light, Alexander, Kanthabalan, Abi, Otieno, Marjorie, Pavlou, Menelaos, Omar, Rumana, Adeleke, Sola, Giganti, Francesco, Brew-Graves, Chris, Williams, Norman R., Emara, Amr, Haroon, Athar, Latifoltojar, Arash, Sidhu, Harbir, Freeman, Alex, Orczyk, Clement, Nikapota, Ashok, Dudderidge, Tim, Hindley, Richard G., Virdi, Jaspal, Arya, Manit, Payne, Heather, Mitra, Anita V., Bomanji, Jamshed, Winkler, Mathias, Horan, Gail, Moore, Caroline M., Emberton, Mark, Punwani, Shonit, Ahmed, Hashim U., and Shah, Taimur T.

Published
2024
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5. Primary Whole-gland Ablation for the Treatment of Clinically Localized Prostate Cancer: A Focal Therapy Society Best Practice Statement

Author

Deivasigamani, Sriram, Kotamarti, Srinath, Rastinehad, Ardeshir R., Salas, Rafael Sanchez, de la Rosette, J.J.M.C.H., Lepor, Herbert, Pinto, Peter, Ahmed, Hashim U., Gill, Inderbir, Klotz, Laurence, Taneja, Samir S., Emberton, Mark, Lawrentschuk, Nathan, Wysock, James, Feller, John F., Crouzet, Sebastien, Kumar M., Praveen, Seguier, Denis, Adams, Eric S., Michael, Zoe, Abreu, Andre, Jack Tay, Kae, Ward, John F., Shinohara, Katsuto, Katz, Aaron E., Villers, Arnauld, Chin, Joseph L., Stricker, Phillip D., Baco, Eduard, Macek, Petr, Ahmad, Ardalan E., Chiu, Peter K.F., Crawford, E. David, Rogers, Craig G., Futterer, Jurgen J., Rais-Bahrami, Soroush, Robertson, Cary N., Hadaschik, Boris, Marra, Giancarlo, Valerio, Massimo, Chong, Kian Tai, Kasivisvanathan, Veeru, Tan, Wei Phin, Lomas, Derek, Walz, Jochen, Guimaraes, Gustavo Cardoso, Mertziotis, Nikos I., Becher, Ezequiel, Finelli, Antonio, Kasraeian, Ali, Lebastchi, Amir H., Vora, Anup, Rosen, Mark A., Bakir, Baris, Arcot, Rohit, Yee, Samuel, Netsch, Christopher, Meng, Xiaosong, de Reijke, Theo M., Tan, Yu Guang, Regusci, Stefano, Benjamin, Tavya G.R., Olivares, Ruben, Noureldin, Mohamed, Bianco, Fernando J., Sivaraman, Arjun, Kim, Fernando J., Given, Robert W., Dason, Shawn, Sheetz, Tyler J., Shoji, Sunao, Schulman, Ariel, Royce, Peter, Shah, Taimur T., Scionti, Stephen, Salomon, Georg, Laguna, Pilar, Tourinho-Barbosa, Rafael, Aminsharifi, Alireza, Cathelineau, Xavier, Gontero, Paolo, Stabile, Armando, Grummet, Jeremy, Ledbetter, Leila, Graton, Margaret, Stephen Jones, J., and Polascik, Thomas J.

Published
2023
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9. Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging–detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score

Author

Peters, Max, Eldred-Evans, David, Kurver, Piet, Falagario, Ugo Giovanni, Connor, Martin J., Shah, Taimur T., Verhoeff, Joost J.C., Taimen, Pekka, Aronen, Hannu J., Knaapila, Juha, Montoya Perez, Ileana, Ettala, Otto, Stabile, Armando, Gandaglia, Giorgio, Fossati, Nicola, Martini, Alberto, Cucchiara, Vito, Briganti, Alberto, Lantz, Anna, Picker, Wolfgang, Haug, Erik Skaaheim, Nordström, Tobias, Tanaka, Mariana Bertoncelli, Reddy, Deepika, Bass, Edward, van Rossum, Peter S.N., Wong, Kathie, Tam, Henry, Winkler, Mathias, Gordon, Stephen, Qazi, Hasan, Boström, Peter J., Jambor, Ivan, and Ahmed, Hashim U.

Published
2022
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11. Magnetic Resonance Imaging and Targeted Biopsies Compared to Transperineal Mapping Biopsies Before Focal Ablation in Localised and Metastatic Recurrent Prostate Cancer After Radiotherapy

Author

Shah, Taimur T., Kanthabalan, Abi, Otieno, Marjorie, Pavlou, Menelaos, Omar, Rumana, Adeleke, Sola, Giganti, Francesco, Brew-Graves, Chris, Williams, Norman R., Grierson, Jack, Miah, Haroon, Emara, Amr, Haroon, Athar, Latifoltojar, Arash, Sidhu, Harbir, Clemente, Joey, Freeman, Alex, Orczyk, Clement, Nikapota, Ashok, Dudderidge, Tim, Hindley, Richard G., Virdi, Jaspal, Arya, Manit, Payne, Heather, Mitra, Anita, Bomanji, Jamshed, Winkler, Mathias, Horan, Gail, Moore, Caroline M., Emberton, Mark, Punwani, Shonit, and Ahmed, Hashim U.

Published
2022
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13. Cancer Control Outcomes Following Focal Therapy Using High-intensity Focused Ultrasound in 1379 Men with Nonmetastatic Prostate Cancer: A Multi-institute 15-year Experience

Author

Reddy, Deepika, Peters, Max, Shah, Taimur T., van Son, Marieke, Tanaka, Mariana Bertoncelli, Huber, Philipp M., Lomas, Derek, Rakauskas, Arnas, Miah, Saiful, Eldred-Evans, David, Guillaumier, Stephanie, Hosking-Jervis, Feargus, Engle, Ryan, Dudderidge, Tim, Hindley, Richard G., Emara, Amr, Nigam, Raj, McCartan, Neil, Valerio, Massimo, Afzal, Naveed, Lewi, Henry, Orczyk, Clement, Ogden, Chris, Shergill, Iqbal, Persad, Raj, Virdi, Jaspal, Moore, Caroline M., Arya, Manit, Winkler, Mathias, Emberton, Mark, and Ahmed, Hashim U.

Published
2022
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14. Effect of Simulation-based Training on Surgical Proficiency and Patient Outcomes: A Randomised Controlled Clinical and Educational Trial

Author

Baig, Umair, Aya, Haleema, Husnain Iqbal, Mohammed, Kum, Francesca, Bultitude, Matthew, Glass, Jonathan, Khan, Azhar, Makanjuola, Jonathan, McCabe, John E., Samsuddin, Azi, McIlhenny, Craig, Brewin, James, Kulkarni, Shashank, Khwaja, Sikandar, Islam, Waliul, Marsh, Howard, Bhat, Taher, Thomas, Benjamin, Cutress, Mark, Housami, Fadi, Nedas, Timothy, Bates, Timothy, Mukherjee, Rono, Graham, Stuart, Bordenave, Matthieu, Coker, Charles, Ahmed, Shwan, Symes, Andrew, Calvert, Robert, Lynch, Ciaran, Long, Ronan, Patterson, Jacob M., Rukin, Nicholas J., Khan, Shahid A., Dasgupta, Ranan, Brown, Stephen, Grey, Ben, Mahmalji, Waseem, Lam, Wayne, Scheitlin, Walter, Saelzler, Norbert, Fiedler, Marcel, Ishikawa, Shuhei, Sasaki, Yoshihiro, Sazawa, Ataru, Shinno, Yuichiro, Mochizuki, Tango, Peter Jessen, Jan, Steiner, Roland, Wendt-Nordahl, Gunnar, Atassi, Nabil, Kohns, Heiko, Cox, Ashley, Rendon, Ricardo, Lawen, Joseph, Bailly, Greg, Marsh, Trevor, Aydın, Abdullatif, Ahmed, Kamran, Abe, Takashige, Raison, Nicholas, Van Hemelrijck, Mieke, Garmo, Hans, Ahmed, Hashim U., Mukhtar, Furhan, Al-Jabir, Ahmed, Brunckhorst, Oliver, Shinohara, Nobuo, Zhu, Wei, Zeng, Guohua, Sfakianos, John P., Gupta, Mantu, Tewari, Ashutosh, Gözen, Ali Serdar, Rassweiler, Jens, Skolarikos, Andreas, Kunit, Thomas, Knoll, Thomas, Moltzahn, Felix, Thalmann, George N., Lantz Powers, Andrea G., Chew, Ben H., Sarica, Kemal, Shamim Khan, Muhammad, and Dasgupta, Prokar

Published
2022
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15. Multiparametric ultrasound versus multiparametric MRI to diagnose prostate cancer (CADMUS): a prospective, multicentre, paired-cohort, confirmatory study

Author

Grey, Alistair D R, Scott, Rebecca, Shah, Bina, Acher, Peter, Liyanage, Sidath, Pavlou, Menelaos, Omar, Rumana, Chinegwundoh, Frank, Patki, Prasad, Shah, Taimur T, Hamid, Sami, Ghei, Maneesh, Gilbert, Kayleigh, Campbell, Diane, Brew-Graves, Chris, Arumainayagam, Nimalan, Chapman, Alex, McLeavy, Laura, Karatziou, Angeliki, Alsaadi, Zayneb, Collins, Tom, Freeman, Alex, Eldred-Evans, David, Bertoncelli-Tanaka, Mariana, Tam, Henry, Ramachandran, Navin, Madaan, Sanjeev, Winkler, Mathias, Arya, Manit, Emberton, Mark, and Ahmed, Hashim U

Published
2022
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17. Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

Author

Hu, Yipeng, Gibson, Eli, Vercauteren, Tom, Ahmed, Hashim U., Emberton, Mark, Moore, Caroline M., Noble, J. Alison, and Barratt, Dean C.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning
Abstract

In this paper, we describe how a patient-specific, ultrasound-probe-induced prostate motion model can be directly generated from a single preoperative MR image. Our motion model allows for sampling from the conditional distribution of dense displacement fields, is encoded by a generative neural network conditioned on a medical image, and accepts random noise as additional input. The generative network is trained by a minimax optimisation with a second discriminative neural network, tasked to distinguish generated samples from training motion data. In this work, we propose that 1) jointly optimising a third conditioning neural network that pre-processes the input image, can effectively extract patient-specific features for conditioning; and 2) combining multiple generative models trained separately with heuristically pre-disjointed training data sets can adequately mitigate the problem of mode collapse. Trained with diagnostic T2-weighted MR images from 143 real patients and 73,216 3D dense displacement fields from finite element simulations of intraoperative prostate motion due to transrectal ultrasound probe pressure, the proposed models produced physically-plausible patient-specific motion of prostate glands. The ability to capture biomechanically simulated motion was evaluated using two errors representing generalisability and specificity of the model. The median values, calculated from a 10-fold cross-validation, were 2.8+/-0.3 mm and 1.7+/-0.1 mm, respectively. We conclude that the introduced approach demonstrates the feasibility of applying state-of-the-art machine learning algorithms to generate organ motion models from patient images, and shows significant promise for future research., Comment: Accepted to MICCAI 2017

Published
2017
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18. Acceptability of magnetic resonance imaging for prostate cancer diagnosis with patients and GPs: a qualitative interview study.

Author

Merriel, Samuel WD, Archer, Stephanie, Forster, Alice S, Eldred-Evans, David, McGrath, John S, Ahmed, Hashim U, Hamilton, Willie, and Walter, Fiona M

Subjects
CANCER diagnosis, MAGNETIC resonance imaging, PROSTATE cancer patients, PRIMARY health care, THEMATIC analysis
Abstract

Background: Magnetic resonance imaging (MRI) of the prostate is a new, more accurate, non-invasive test for prostate cancer diagnosis. Aim: To understand the acceptability of MRI for patients and GPs for prostate cancer diagnosis. Design and setting: Qualitative study of men who had undergone a prostate MRI for possible prostate cancer, and GPs who had referred at least one man for possible prostate cancer in the previous 12 months in West London and Devon. Method: Semi-structured interviews, conducted in person or via telephone, were audio-recorded and transcribed verbatim. Deductive thematic analysis was undertaken using Sekhon's Theoretical Framework of Acceptability, retrospectively for patients and prospectively for GPs. Results: Twenty-two men (12 from Devon, age range 47–80 years), two patients' partners, and 10 GPs (6 female, age range 36–55 years) were interviewed. Prostate MRI was broadly acceptable for most patient participants, and they reported that it was not a significant undertaking to complete the scan. GPs were more varied in their views on prostate MRI, with a broad spectrum of knowledge and understanding of prostate MRI. Some GPs expressed concerns about additional clinical responsibility and local availability of MRI if direct access to prostate MRI in primary care were to be introduced. Conclusion: Prostate MRI appears to be acceptable to patients. Some differences were found between patients in London and Devon, mainly around burden of testing and opportunity costs. Further exploration of GPs' knowledge and understanding of prostate MRI could inform future initiatives to widen access to diagnostic testing in primary care. [ABSTRACT FROM AUTHOR]

Published
2024

21. Conventional radical versus focal treatment for localised prostate cancer: a propensity score weighted comparison of 6-year tumour control

Author

van Son, Marieke J., Peters, Max, Reddy, Deepika, Shah, Taimur T., Hosking-Jervis, Feargus, Robinson, Stephen, Lagendijk, Jan J. W., Mangar, Stephen, Dudderidge, Tim, McCracken, Stuart, Hindley, Richard G., Emara, Amr, Nigam, Raj, Persad, Raj, Virdi, Jaspal, Lewi, Henry, Moore, Caroline, Orczyk, Clement, Emberton, Mark, Arya, Manit, Ahmed, Hashim U., van der Voort van Zyp, Jochem R. N., Winkler, Matt, and Falconer, Alison

Published
2021
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25. The “Is mpMRI Enough” or IMRIE Study: A Multicentre Evaluation of Prebiopsy Multiparametric Magnetic Resonance Imaging Compared with Biopsy

Author

Stonier, Thomas, Simson, Nick, Shah, Taimur, Lobo, Niyati, Amer, Tarik, Lee, Su-Min, Bass, Edward, Chau, Edwin, Grey, Alistair, McCartan, Neil, Acher, Peter, Ahmad, Imran, Arumainayagam, Nimalan, Brown, Dominic, Chapman, Alex, Elf, Deborah, Hartington, Thomas, Ibrahim, Ibrahim, Leung, Hing, Liyanage, Sidath, Lovegrove, Catherine, Malthouse, Theo, Mateen, Bilal, Mistry, Kiki, Morrison, Iain, Nalagatla, Sarika, Persad, Raj, Pope, Alvan, Sokhi, Heminder, Syed, Hira, Tadtayev, Sergey, Tharmaratnam, Meera, Qteishat, Ahmed, Miah, Saiful, Emberton, Mark, Moore, Caroline, Walton, Tom, Eddy, Ben, and Ahmed, Hashim U.

Published
2021
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28. Focal therapy compared to radical prostatectomy for non-metastatic prostate cancer: a propensity score-matched study

Author

Shah, Taimur T., Reddy, Deepika, Peters, Max, Ball, Daniel, Kim, Na Hyun, Gomez, Enrique Gomez, Miah, Saiful, Evans, David Eldred, Guillaumier, Stephanie, van Rossum, Peter S. N., Van Son, Marieke J., Hosking-Jervis, Feargus, Dudderidge, Tim, Hindley, Richard, Emara, Amr, McCracken, Stuart, Greene, Damian, Nigam, Raj, McCartan, Neil, Valerio, Massimo, Minhas, Suks, Afzal, Naveed, Lewi, Henry, Ogden, Chris, Persad, Raj, Virdi, Jaspal, Moore, Caroline M., Arya, Manit, Emberton, Mark, Ahmed, Hashim U., and Winkler, Mathias

Published
2021
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29. The Transatlantic Recommendations for Prostate Gland Evaluation with Magnetic Resonance Imaging After Focal Therapy (TARGET):A Systematic Review and International Consensus Recommendations

Author

Light, Alexander, Mayor, Nikhil, Cullen, Emma, Kirkham, Alex, Padhani, Anwar R., Arya, Manit, Bomers, Joyce G.R., Dudderidge, Tim, Ehdaie, Behfar, Freeman, Alex, Guillaumier, Stephanie, Hindley, Richard, Lakhani, Amish, Pendse, Douglas, Punwani, Shonit, Rastinehad, Ardeshir R., Rouvière, Olivier, Sanchez-Salas, Rafael, Schoots, Ivo G., Sokhi, Heminder K., Tam, Henry, Tempany, Clare M., Valerio, Massimo, Verma, Sadhna, Villeirs, Geert, van der Meulen, Jan, Ahmed, Hashim U., Shah, Taimur T., Light, Alexander, Mayor, Nikhil, Cullen, Emma, Kirkham, Alex, Padhani, Anwar R., Arya, Manit, Bomers, Joyce G.R., Dudderidge, Tim, Ehdaie, Behfar, Freeman, Alex, Guillaumier, Stephanie, Hindley, Richard, Lakhani, Amish, Pendse, Douglas, Punwani, Shonit, Rastinehad, Ardeshir R., Rouvière, Olivier, Sanchez-Salas, Rafael, Schoots, Ivo G., Sokhi, Heminder K., Tam, Henry, Tempany, Clare M., Valerio, Massimo, Verma, Sadhna, Villeirs, Geert, van der Meulen, Jan, Ahmed, Hashim U., and Shah, Taimur T.

Abstract

Background and objective: Magnetic resonance imaging (MRI) can detect recurrences after focal therapy for prostate cancer but there is no robust guidance regarding its use. Our objective was to produce consensus recommendations on MRI acquisition, interpretation, and reporting after focal therapy. Methods:A systematic review was performed in July 2022 to develop consensus statements. A two-round consensus exercise was then performed, with a consensus meeting in January 2023, during which 329 statements were scored by 23 panellists from Europe and North America spanning urology, radiology, and pathology with experience across eight focal therapy modalities. Using RAND Corporation/University of California-Los Angeles methodology, the Transatlantic Recommendations for Prostate Gland Evaluation with MRI after Focal Therapy (TARGET) were based on consensus for statements scored with agreement or disagreement. Key findings and limitations: In total, 73 studies were included in the review. All 20 studies (100%) reporting suspicious imaging features cited focal contrast enhancement as suspicious for cancer recurrence. Of 31 studies reporting MRI assessment criteria, the Prostate Imaging-Reporting and Data System (PI-RADS) score was the scheme used most often (20 studies; 65%), followed by a 5-point Likert score (six studies; 19%). For the consensus exercise, consensus for statements scored with agreement or disagreement increased from 227 of 295 statements (76.9%) in round one to 270 of 329 statements (82.1%) in round two. Key recommendations include performing routine MRI at 12 mo using a multiparametric protocol compliant with PI-RADS version 2.1 standards. PI-RADS category scores for assessing recurrence within the ablation zone should be avoided. An alternative 5-point scoring system is presented that includes a major dynamic contrast enhancement (DCE) sequence and joint minor diffusion-weighted imaging and T2-w

Published
2024

34. A Multicentre Analysis of the Detection of Clinically Significant Prostate Cancer Following Transperineal Image-fusion Targeted and Nontargeted Systematic Prostate Biopsy in Men at Risk

Author

Miah, Saiful, Hosking-Jervis, Feargus, Connor, Martin J., Eldred-Evans, David, Shah, Taimur T., Arya, Manit, Barber, Neil, Bhardwa, Jeetesh, Bott, Simon, Burke, Daniel, Doherty, Alan, Foster, Christopher, Freeman, Alex, Hindley, Richard, Jameson, Charles, Karim, Omer, Laniado, Marc, Montgomery, Bruce, Nigam, Raj, Punwani, Shonit, Sinclair, Andrew, Winkler, Mathias, Allen, Clare, and Ahmed, Hashim U.

Published
2020
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39. Feasibility of Comparative Health Research Outcome of Novel Surgery in prostate cancer (IP4-CHRONOS): statistical analysis plan for the randomised feasibility phase of the CHRONOS study

Author

Day, Emily, Prevost, A. Toby, Sydes, Matthew R., Reddy, Deepika, Shah, Taimur T., Winkler, Mathias, Dudderidge, Tim, Staffurth, John, McCracken, Stuart, Khoo, Vincent, Jadav, Puja, Klimowska-Nassar, Natalia, Sasikaran, Thiagarajah, Ahmed, Hashim U., and Fiorentino, Francesca

Published
2021
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41. ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ training

Author

de Rooij, Maarten, Israël, Bas, Tummers, Marcia, Ahmed, Hashim U., Barrett, Tristan, Giganti, Francesco, Hamm, Bernd, Løgager, Vibeke, Padhani, Anwar, Panebianco, Valeria, Puech, Philippe, Richenberg, Jonathan, Rouvière, Olivier, Salomon, Georg, Schoots, Ivo, Veltman, Jeroen, Villeirs, Geert, Walz, Jochen, and Barentsz, Jelle O.

Published
2020
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46. Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning

Author

Gibson, Eli, Hu, Yipeng, Ghavami, Nooshin, Ahmed, Hashim U., Moore, Caroline, Emberton, Mark, Huisman, Henkjan J., Barratt, Dean C., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Frangi, Alejandro F., editor, Schnabel, Julia A., editor, Davatzikos, Christos, editor, Alberola-López, Carlos, editor, and Fichtinger, Gabor, editor

Published
2018
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48. The SmartTarget Biopsy Trial: A Prospective, Within-person Randomised, Blinded Trial Comparing the Accuracy of Visual-registration and Magnetic Resonance Imaging/Ultrasound Image-fusion Targeted Biopsies for Prostate Cancer Risk Stratification

Author

Hamid, Sami, Donaldson, Ian A., Hu, Yipeng, Rodell, Rachael, Villarini, Barbara, Bonmati, Ester, Tranter, Pamela, Punwani, Shonit, Sidhu, Harbir S., Willis, Sarah, van der Meulen, Jan, Hawkes, David, McCartan, Neil, Potyka, Ingrid, Williams, Norman R., Brew-Graves, Chris, Freeman, Alex, Moore, Caroline M., Barratt, Dean, Emberton, Mark, and Ahmed, Hashim U.

Published
2019
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