Literature DB >> 31971823

The effect of capped biparametric magnetic resonance imaging slots on weekly prostate cancer imaging workload.

Nikita Sushentsev1, Iztok Caglic1,2, Evis Sala1,2, Nadeem Shaida1,2, Rhys A Slough1, Bruno Carmo1, Vasily Kozlov3, Vincent J Gnanapragasam4,5,6, Tristan Barrett1,2.   

Abstract

OBJECTIVE: To introduce capped biparametric (bp) MRI slots for follow-up imaging of prostate cancer patients enrolled in active surveillance (AS) and evaluate the effect on weekly variation in the number of AS cases and total MRI workload.
METHODS: Three 20 min bpMRI AS slots on two separate days were introduced at Addenbrooke's Hospital, Cambridge. The weekly numbers of total prostate MRIs and AS cases recorded 15 months before and after the change (Groups 1 and 2, respectively). An intergroup variation in the weekly scan numbers was assessed using the coefficient of variance (CV) and mean absolute deviation; the Mann-Whitney U test was used for an intergroup comparison of the latter.
RESULTS: In AS patients, a shift from considerable to moderate variation in weekly scan numbers was observed between the two groups (CV, 51.7 and 26.8%, respectively); mean absolute deviation of AS scans also demonstrated a significant decrease in Group 2 (1.28 vs 2.58 in Group 1; p < 0.001). No significant changes in the variation in total prostate MRIs were observed, despite a 10% increased workload in Group 2.
CONCLUSION: A significant reduction in weekly variation of AS cases was demonstrated following the introduction of capped bpMRI slots, which can be used for more accurate long-term planning of MRI workload. ADVANCES IN KNOWLEDGE: The paper illustrates the potential of introducing capped AS MRI slots using a bp protocol to reduce weekly variation in demand and allow for optimising workflow, which will be increasingly important as the demands on radiology departments increase worldwide.

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Year:  2020        PMID: 31971823      PMCID: PMC7362922          DOI: 10.1259/bjr.20190929

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  23 in total

Review 1.  PI-RADS version 2.1: one small step for prostate MRI.

Authors:  T Barrett; A Rajesh; A B Rosenkrantz; P L Choyke; B Turkbey
Journal:  Clin Radiol       Date:  2019-06-22       Impact factor: 2.350

2.  A multicentre assessment of prostate MRI quality and compliance with UK and international standards.

Authors:  P R Burn; S J Freeman; A Andreou; N Burns-Cox; R Persad; T Barrett
Journal:  Clin Radiol       Date:  2019-07-08       Impact factor: 2.350

3.  Clinical Utility of Multiparametric Magnetic Resonance Imaging as the First-line Tool for Men with High Clinical Suspicion of Prostate Cancer.

Authors:  Valeria Panebianco; Maria C Valerio; Alessandro Giuliani; Martina Pecoraro; Isabella Ceravolo; Giovanni Barchetti; Carlo Catalano; Anwar R Padhani
Journal:  Eur Urol Oncol       Date:  2018-05-15

4.  Dramatic increase in the utilization of multiparametric magnetic resonance imaging for detection and management of prostate cancer.

Authors:  Daniel T Oberlin; David D Casalino; Frank H Miller; Joshua J Meeks
Journal:  Abdom Radiol (NY)       Date:  2017-04

5.  High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naïve Men: The Next Step in Magnetic Resonance Imaging Accessibility.

Authors:  Marloes van der Leest; Bas Israël; Erik Bastiaan Cornel; Patrik Zámecnik; Ivo G Schoots; Hans van der Lelij; Anwar R Padhani; Maroeska Rovers; Inge van Oort; Michiel Sedelaar; Christina Hulsbergen-van de Kaa; Gerjon Hannink; Jeroen Veltman; Jelle Barentsz
Journal:  Eur Urol       Date:  2019-06-02       Impact factor: 20.096

6.  Novel biparametric MRI and targeted biopsy improves risk stratification in men with a clinical suspicion of prostate cancer (IMPROD Trial).

Authors:  Ivan Jambor; Peter J Boström; Pekka Taimen; Kari Syvänen; Esa Kähkönen; Markku Kallajoki; Ileana Montoya Perez; Tommi Kauko; Jaakko Matomäki; Otto Ettala; Harri Merisaari; Aida Kiviniemi; Peter B Dean; Hannu J Aronen
Journal:  J Magn Reson Imaging       Date:  2017-02-06       Impact factor: 4.813

Review 7.  Active surveillance for prostate cancer: a systematic review of the literature.

Authors:  Marc A Dall'Era; Peter C Albertsen; Christopher Bangma; Peter R Carroll; H Ballentine Carter; Matthew R Cooperberg; Stephen J Freedland; Laurence H Klotz; Christopher Parker; Mark S Soloway
Journal:  Eur Urol       Date:  2012-06-07       Impact factor: 20.096

8.  Active Surveillance Magnetic Resonance Imaging Study (ASIST): Results of a Randomized Multicenter Prospective Trial.

Authors:  Laurence Klotz; Andrew Loblaw; Linda Sugar; Madeline Moussa; David M Berman; Theo Van der Kwast; Danny Vesprini; Laurent Milot; Marlene Kebabdjian; Neil Fleshner; Sangeet Ghai; Joe Chin; Gregory R Pond; Masoom Haider
Journal:  Eur Urol       Date:  2018-07-13       Impact factor: 20.096

Review 9.  Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Authors:  Baris Turkbey; Andrew B Rosenkrantz; Masoom A Haider; Anwar R Padhani; Geert Villeirs; Katarzyna J Macura; Clare M Tempany; Peter L Choyke; Francois Cornud; Daniel J Margolis; Harriet C Thoeny; Sadhna Verma; Jelle Barentsz; Jeffrey C Weinreb
Journal:  Eur Urol       Date:  2019-03-18       Impact factor: 20.096

10.  Time from diagnosis to surgery and prostate cancer survival: a retrospective cohort study.

Authors:  Maria Theresa Redaniel; Richard M Martin; David Gillatt; Julia Wade; Mona Jeffreys
Journal:  BMC Cancer       Date:  2013-11-27       Impact factor: 4.430

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  11 in total

Review 1.  Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway.

Authors:  Tristan Barrett; Maarten de Rooij; Francesco Giganti; Clare Allen; Jelle O Barentsz; Anwar R Padhani
Journal:  Nat Rev Urol       Date:  2022-09-27       Impact factor: 16.430

2.  The effect of gadolinium-based contrast agent administration on magnetic resonance fingerprinting-based T1 relaxometry in patients with prostate cancer.

Authors:  Nikita Sushentsev; Joshua D Kaggie; Guido Buonincontri; Rolf F Schulte; Martin J Graves; Vincent J Gnanapragasam; Tristan Barrett
Journal:  Sci Rep       Date:  2020-11-24       Impact factor: 4.379

3.  Reproducibility of magnetic resonance fingerprinting-based T1 mapping of the healthy prostate at 1.5 and 3.0 T: A proof-of-concept study.

Authors:  Nikita Sushentsev; Joshua D Kaggie; Rhys A Slough; Bruno Carmo; Tristan Barrett
Journal:  PLoS One       Date:  2021-01-29       Impact factor: 3.240

4.  Serial changes in tumour measurements and apparent diffusion coefficients in prostate cancer patients on active surveillance with and without histopathological progression.

Authors:  Nikita Sushentsev; Iztok Caglic; Leonardo Rundo; Vasily Kozlov; Evis Sala; Vincent J Gnanapragasam; Tristan Barrett
Journal:  Br J Radiol       Date:  2021-09-19       Impact factor: 3.039

Review 5.  Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.

Authors:  Michael Roberts; Leonardo Rundo; Nikita Sushentsev; Nadia Moreira Da Silva; Michael Yeung; Tristan Barrett; Evis Sala
Journal:  Insights Imaging       Date:  2022-03-28

6.  MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

7.  ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.

Authors:  Tobias Penzkofer; Anwar R Padhani; Baris Turkbey; Masoom A Haider; Henkjan Huisman; Jochen Walz; Georg Salomon; Ivo G Schoots; Jonathan Richenberg; Geert Villeirs; Valeria Panebianco; Olivier Rouviere; Vibeke Berg Logager; Jelle Barentsz
Journal:  Eur Radiol       Date:  2021-05-15       Impact factor: 5.315

8.  Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.

Authors:  Nikita Sushentsev; Leonardo Rundo; Oleg Blyuss; Tatiana Nazarenko; Aleksandr Suvorov; Vincent J Gnanapragasam; Evis Sala; Tristan Barrett
Journal:  Eur Radiol       Date:  2021-07-13       Impact factor: 5.315

9.  MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study.

Authors:  Renato Cuocolo; Arnaldo Stanzione; Riccardo Faletti; Marco Gatti; Giorgio Calleris; Alberto Fornari; Francesco Gentile; Aurelio Motta; Serena Dell'Aversana; Massimiliano Creta; Nicola Longo; Paolo Gontero; Stefano Cirillo; Paolo Fonio; Massimo Imbriaco
Journal:  Eur Radiol       Date:  2021-04-01       Impact factor: 5.315

Review 10.  Optimal biopsy approach for detection of clinically significant prostate cancer.

Authors:  Simona Ippoliti; Peter Fletcher; Luca Orecchia; Roberto Miano; Christof Kastner; Tristan Barrett
Journal:  Br J Radiol       Date:  2021-08-06       Impact factor: 3.039

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