TY - JOUR
T1 - 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
T2 - Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score
AU - Peters, Max
AU - Eldred-Evans, David
AU - Kurver, Piet
AU - Falagario, Ugo Giovanni
AU - Connor, Martin J.
AU - Shah, Taimur T.
AU - Verhoeff, Joost J.C.
AU - Taimen, Pekka
AU - Aronen, Hannu J.
AU - Knaapila, Juha
AU - Montoya Perez, Ileana
AU - Ettala, Otto
AU - Stabile, Armando
AU - Gandaglia, Giorgio
AU - Fossati, Nicola
AU - Martini, Alberto
AU - Cucchiara, Vito
AU - Briganti, Alberto
AU - Lantz, Anna
AU - Picker, Wolfgang
AU - Haug, Erik Skaaheim
AU - Nordström, Tobias
AU - Tanaka, Mariana Bertoncelli
AU - Reddy, Deepika
AU - Bass, Edward
AU - van Rossum, Peter S.N.
AU - Wong, Kathie
AU - Tam, Henry
AU - Winkler, Mathias
AU - Gordon, Stephen
AU - Qazi, Hasan
AU - Boström, Peter J.
AU - Jambor, Ivan
AU - Ahmed, Hashim U.
N1 - Funding Information: Funding/Support and role of the sponsor: This work was supported by Wellcome Trust Senior Research Fellowship (ref: 204998/Z/16/Z) and NHS England Cancer Transformation Fund. The funders had no role in any of the aspects of the conduction of the current study. Funding Information: Financial disclosures: Max Peters certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: Martin J. Connor reports grant funding from University College Hospitals London (UCLH) Charity for his prostate cancer research. Pekka Taimen reports research grant paid to institution by Finnish Cancer Foundation; consulting fees from Faron Pharmaceuticals; honoraria for lecture from Roche Finland; being a data management committee member at ProScreen Prostate Cancer Screening Trial. Hannu J. Aronen reports novel MRI techniques for noninvasive detection and characterisation of prostate cancer research grant from the Turku University Central Hospital. Otto Ettala reports academic grants from Finnish Cancer Society and Sakari Alhopuro Foundation. Alberto Martini reports grants from Intuitive Surgical (Sunnyvale, CA, USA). Alberto Briganti reports academic grant from Italian Ministry of Health. Tobias Nordström reports consulting fees from AstraZeneca; payment/honoraria from Ipsen; stock or stock options at A3P Biomedical. Deepika Reddy reports funding for research from Prostate Cancer UK; funding for attendance to conferences from Sonblate Corp and Imperial Healthcare Charity. Peter J. Boström reports grant from Cancer Society of Finland; lecture fees from Astellas; being a member of the advisory board of Pfizer. Hashim U. Ahmed reports support from Wellcome Trust; grants from Cancer Research UK, National Institute of Health Research, Medical Research Council, the Urology Foundation, Prostate Cancer UK, the BMA Foundation, Sophiris Biocorp, and Sonablate Corp; consulting fees for teaching/training of HIFU prostate procedure from Sonablate Corp and teaching/training of cryotherapy and Rezum prostate procedure from Boston Scientific; payment/honoraria for teaching/training courses for HIFU from Sonablate Corp and teaching/training courses for Rezum from Boston Scientific; support for attending meetings and/or travels from Sonablate Corp; participation for trial design in Francis Medical; chair at NCRI Prostate Research Group (unpaid); specialist adviser for NICE Diagnostics Assessment Panel on Transperineal Freehand Biopsy (unpaid). Publisher Copyright: © 2022 The Author(s)
PY - 2022/11
Y1 - 2022/11
N2 - Background: Although multiparametric magnetic resonance imaging (MRI) has high sensitivity, its lower specificity leads to a high prevalence of false-positive lesions requiring biopsy. Objective: To develop and externally validate a scoring system for MRI-detected Prostate Imaging Reporting and Data System (PIRADS)/Likert ≥3 lesions containing clinically significant prostate cancer (csPCa). Design, setting, and participants: The multicentre Rapid Access to Prostate Imaging and Diagnosis (RAPID) pathway included 1189 patients referred to urology due to elevated age-specific prostate-specific antigen (PSA) and/or abnormal digital rectal examination (DRE); April 27, 2017 to October 25, 2019. Intervention: Visual-registration or image-fusion targeted and systematic transperineal biopsies for an MRI score of ≥4 or 3 + PSA density ≥0.12 ng/ml/ml. Outcome measurements and statistical analysis: Fourteen variables were used in multivariable logistic regression for Gleason ≥3 + 4 (primary) and Gleason ≥4 + 3, and PROMIS definition 1 (any ≥4 + 3 or ≥6 mm any grade; secondary). Nomograms were created and a decision curve analysis (DCA) was performed. Models with varying complexity were externally validated in 2374 patients from six international cohorts. Results and limitations: The five-item Imperial RAPID risk score used age, PSA density, prior negative biopsy, prostate volume, and highest MRI score (corrected c-index for Gleason ≥3 + 4 of 0.82 and 0.80–0.86 externally). Incorporating family history, DRE, and Black ethnicity within the eight-item Imperial RAPID risk score provided similar outcomes. The DCA showed similar superiority of all models, with net benefit differences increasing in higher threshold probabilities. At 20%, 30%, and 40% of predicted Gleason ≥3 + 4 prostate cancer, the RAPID risk score was able to reduce, respectively, 11%, 21%, and 31% of biopsies against 1.8%, 6.2%, and 14% of missed csPCa (or 9.6%, 17%, and 26% of foregone biopsies, respectively). Conclusions: The Imperial RAPID risk score provides a standardised tool for the prediction of csPCa in patients with an MRI-detected PIRADS/Likert ≥3 lesion and can support the decision for prostate biopsy. Patient summary: In this multinational study, we developed a scoring system incorporating clinical and magnetic resonance imaging characteristics to predict which patients have prostate cancer requiring treatment and which patients can safely forego an invasive prostate biopsy. This model was validated in several other countries.
AB - Background: Although multiparametric magnetic resonance imaging (MRI) has high sensitivity, its lower specificity leads to a high prevalence of false-positive lesions requiring biopsy. Objective: To develop and externally validate a scoring system for MRI-detected Prostate Imaging Reporting and Data System (PIRADS)/Likert ≥3 lesions containing clinically significant prostate cancer (csPCa). Design, setting, and participants: The multicentre Rapid Access to Prostate Imaging and Diagnosis (RAPID) pathway included 1189 patients referred to urology due to elevated age-specific prostate-specific antigen (PSA) and/or abnormal digital rectal examination (DRE); April 27, 2017 to October 25, 2019. Intervention: Visual-registration or image-fusion targeted and systematic transperineal biopsies for an MRI score of ≥4 or 3 + PSA density ≥0.12 ng/ml/ml. Outcome measurements and statistical analysis: Fourteen variables were used in multivariable logistic regression for Gleason ≥3 + 4 (primary) and Gleason ≥4 + 3, and PROMIS definition 1 (any ≥4 + 3 or ≥6 mm any grade; secondary). Nomograms were created and a decision curve analysis (DCA) was performed. Models with varying complexity were externally validated in 2374 patients from six international cohorts. Results and limitations: The five-item Imperial RAPID risk score used age, PSA density, prior negative biopsy, prostate volume, and highest MRI score (corrected c-index for Gleason ≥3 + 4 of 0.82 and 0.80–0.86 externally). Incorporating family history, DRE, and Black ethnicity within the eight-item Imperial RAPID risk score provided similar outcomes. The DCA showed similar superiority of all models, with net benefit differences increasing in higher threshold probabilities. At 20%, 30%, and 40% of predicted Gleason ≥3 + 4 prostate cancer, the RAPID risk score was able to reduce, respectively, 11%, 21%, and 31% of biopsies against 1.8%, 6.2%, and 14% of missed csPCa (or 9.6%, 17%, and 26% of foregone biopsies, respectively). Conclusions: The Imperial RAPID risk score provides a standardised tool for the prediction of csPCa in patients with an MRI-detected PIRADS/Likert ≥3 lesion and can support the decision for prostate biopsy. Patient summary: In this multinational study, we developed a scoring system incorporating clinical and magnetic resonance imaging characteristics to predict which patients have prostate cancer requiring treatment and which patients can safely forego an invasive prostate biopsy. This model was validated in several other countries.
KW - Clinically significant prostate cancer
KW - Imperial Rapid Access to Prostate Imaging and Diagnosis risk score
KW - Magnetic resonance imaging
KW - Rapid Access to Prostate Imaging and Diagnosis pathway
UR - http://www.scopus.com/inward/record.url?scp=85135860596&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.eururo.2022.07.022
DO - https://doi.org/10.1016/j.eururo.2022.07.022
M3 - Article
C2 - 35963650
SN - 0302-2838
VL - 82
SP - 559
EP - 568
JO - European Urology
JF - European Urology
IS - 5
ER -