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Dinneen E, Allen C, Strange T, Heffernan-Ho D, Banjeglav J, Lindsay J, Mulligan JP, Briggs T, Nathan S, Sridhar A, Grierson J, Haider A, Panayi C, Patel D, Freeman A, Aning J, Persad R, Ahmad I, Dutto L, Oakley N, Ambrosi A, Parry T, Kasivisvanathan V, Giganti F, Shaw G, Punwani S. Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy. Diagnostics (Basel) 2022; 12:1057. [PMID: 35626214 PMCID: PMC9139507 DOI: 10.3390/diagnostics12051057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 11/23/2022] Open
Abstract
Background: The accuracy of multi-parametric MRI (mpMRI) in the pre-operative staging of prostate cancer (PCa) remains controversial. Objective: The purpose of this study was to evaluate the ability of mpMRI to accurately predict PCa extra-prostatic extension (EPE) on a side-specific basis using a risk-stratified 5-point Likert scale. This study also aimed to assess the influence of mpMRI scan quality on diagnostic accuracy. Patients and Methods: We included 124 men who underwent robot-assisted RP (RARP) as part of the NeuroSAFE PROOF study at our centre. Three radiologists retrospectively reviewed mpMRI blinded to RP pathology and assigned a Likert score (1-5) for EPE on each side of the prostate. Each scan was also ascribed a Prostate Imaging Quality (PI-QUAL) score for assessing the quality of the mpMRI scan, where 1 represents the poorest and 5 represents the best diagnostic quality. Outcome measurements and statistical analyses: Diagnostic performance is presented for the binary classification of EPE, including 95% confidence intervals and the area under the receiver operating characteristic curve (AUC). Results: A total of 231 lobes from 121 men (mean age 56.9 years) were evaluated. Of these, 39 men (32.2%), or 43 lobes (18.6%), had EPE. A Likert score ≥3 had a sensitivity (SE), specificity (SP), NPV, and PPV of 90.4%, 52.3%, 96%, and 29.9%, respectively, and the AUC was 0.82 (95% CI: 0.77-0.86). The AUC was 0.76 (95% CI: 0.64-0.88), 0.78 (0.72-0.84), and 0.92 (0.88-0.96) for biparametric scans, PI-QUAL 1-3, and PI-QUAL 4-5 scans, respectively. Conclusions: MRI can be used effectively by genitourinary radiologists to rule out EPE and help inform surgical planning for men undergoing RARP. EPE prediction was more reliable when the MRI scan was (a) multi-parametric and (b) of a higher image quality according to the PI-QUAL scoring system.
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Affiliation(s)
- Eoin Dinneen
- Division of Surgery & Interventional Science, University College London, Charles Bell House, 3rd Floor, 43-45 Foley Street, London W1W 7TS, UK; (J.G.); (V.K.); (F.G.); (G.S.)
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Clare Allen
- Department of Radiology, University College London Hospitals, 235 Euston Road, London NW1 2BU, UK; (C.A.); (T.S.); (D.H.-H.); (S.P.)
| | - Tom Strange
- Department of Radiology, University College London Hospitals, 235 Euston Road, London NW1 2BU, UK; (C.A.); (T.S.); (D.H.-H.); (S.P.)
| | - Daniel Heffernan-Ho
- Department of Radiology, University College London Hospitals, 235 Euston Road, London NW1 2BU, UK; (C.A.); (T.S.); (D.H.-H.); (S.P.)
| | - Jelena Banjeglav
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Jamie Lindsay
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - John-Patrick Mulligan
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Tim Briggs
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Senthil Nathan
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Ashwin Sridhar
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Jack Grierson
- Division of Surgery & Interventional Science, University College London, Charles Bell House, 3rd Floor, 43-45 Foley Street, London W1W 7TS, UK; (J.G.); (V.K.); (F.G.); (G.S.)
- Department of Histopathology, University College Hospital London, 235 Euston Road, London NW1 2BU, UK; (A.H.); (C.P.); (D.P.); (A.F.)
| | - Aiman Haider
- Department of Histopathology, University College Hospital London, 235 Euston Road, London NW1 2BU, UK; (A.H.); (C.P.); (D.P.); (A.F.)
| | - Christos Panayi
- Department of Histopathology, University College Hospital London, 235 Euston Road, London NW1 2BU, UK; (A.H.); (C.P.); (D.P.); (A.F.)
| | - Dominic Patel
- Department of Histopathology, University College Hospital London, 235 Euston Road, London NW1 2BU, UK; (A.H.); (C.P.); (D.P.); (A.F.)
| | - Alex Freeman
- Department of Histopathology, University College Hospital London, 235 Euston Road, London NW1 2BU, UK; (A.H.); (C.P.); (D.P.); (A.F.)
| | - Jonathan Aning
- North Bristol Hospitals Trust, Department of Urology, Southmead Hospital, Southmead Lane, Westbury-on-Trym, Bristol BS10 5NB, UK; (J.A.); (R.P.)
| | - Raj Persad
- North Bristol Hospitals Trust, Department of Urology, Southmead Hospital, Southmead Lane, Westbury-on-Trym, Bristol BS10 5NB, UK; (J.A.); (R.P.)
| | - Imran Ahmad
- Department of Urology, Queen Elizabeth University Hospital, NHS Greater Glasgow & Clyde, 1345 Govan Road, Glasgow G51 4TF, UK; (I.A.); (L.D.)
| | - Lorenzo Dutto
- Department of Urology, Queen Elizabeth University Hospital, NHS Greater Glasgow & Clyde, 1345 Govan Road, Glasgow G51 4TF, UK; (I.A.); (L.D.)
| | - Neil Oakley
- Department of Urology, Sheffield Teaching Hospitals NHS Trust, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, UK;
| | - Alessandro Ambrosi
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, 20132 Milano, Italy;
| | - Tom Parry
- Centre for Medical Imaging, University College London, Charles Bell House, 2nd Floor, 43-45 Foley Street, London W1W 7TS, UK;
| | - Veeru Kasivisvanathan
- Division of Surgery & Interventional Science, University College London, Charles Bell House, 3rd Floor, 43-45 Foley Street, London W1W 7TS, UK; (J.G.); (V.K.); (F.G.); (G.S.)
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Francesco Giganti
- Division of Surgery & Interventional Science, University College London, Charles Bell House, 3rd Floor, 43-45 Foley Street, London W1W 7TS, UK; (J.G.); (V.K.); (F.G.); (G.S.)
- Department of Radiology, University College London Hospitals, 235 Euston Road, London NW1 2BU, UK; (C.A.); (T.S.); (D.H.-H.); (S.P.)
| | - Greg Shaw
- Division of Surgery & Interventional Science, University College London, Charles Bell House, 3rd Floor, 43-45 Foley Street, London W1W 7TS, UK; (J.G.); (V.K.); (F.G.); (G.S.)
- Department of Urology, University College Hospital London, Westmoreland Street Hospital, 16-18 Westmoreland Street, London W1G 8PH, UK; (J.B.); (J.L.); (J.-P.M.); (T.B.); (S.N.); (A.S.)
| | - Shonit Punwani
- Department of Radiology, University College London Hospitals, 235 Euston Road, London NW1 2BU, UK; (C.A.); (T.S.); (D.H.-H.); (S.P.)
- Centre for Medical Imaging, University College London, Charles Bell House, 2nd Floor, 43-45 Foley Street, London W1W 7TS, UK;
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Kido A, Tamada T, Sone T, Kanomata N, Miyaji Y, Yamamoto A, Ito K. Incremental value of high b value diffusion-weighted magnetic resonance imaging at 3-T for prediction of extracapsular extension in patients with prostate cancer: preliminary experience. Radiol Med 2016; 122:228-238. [PMID: 27943099 DOI: 10.1007/s11547-016-0712-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 11/20/2016] [Indexed: 11/26/2022]
Abstract
PURPOSE To investigate whether high b value diffusion-weighted imaging (DWI) contributes to the improvement of diagnostic ability of extracapsular extension (ECE) in prostate cancer (PC). MATERIALS AND METHODS Forty-three patients with PC underwent multiparametric MRI including DWI (b values: 0, 2000 s/mm2) at 3-T. Two radiologists assessed the presence of ECE and the diagnostic certainty degree using conventional diagnostic method by consensus. Tumor apparent diffusion coefficient (ADC, ×10-3 mm2/s) was also measured. Independent predictors of ECE were identified among PSA, tumor ADC, Gleason score, and conventional MRI. ECE in patients with low diagnostic certainty by conventional MRI was further reevaluated using ADC cutoff value, and the results were combined with those of patients with high diagnostic certainty by conventional MRI (MRI + ADC method). RESULTS Tumor ADC was an independent predictor of ECE, and the ADC cutoff value was 0.72. The sensitivity, specificity, and accuracy of conventional MRI and MRI + ADC method in the diagnosis of ECE were 44, 92, and 72%, and 78, 96, and 88%, respectively. Among MRI findings leading to the judgement of low diagnostic certainty, broad tumor contact was most common (72% of the patients). CONCLUSIONS The addition of ADC obtained with high b value DWI at 3-T to conventional MRI improved the diagnostic ability of ECE.
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Affiliation(s)
- Ayumu Kido
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama, 701-0192, Japan.
| | - Tsutomu Tamada
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama, 701-0192, Japan
| | - Teruki Sone
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama, 701-0192, Japan
| | - Naoki Kanomata
- Department of Pathology, Kawasaki Medical School, Kurashiki City, Okayama, 701-0192, Japan
| | - Yoshiyuki Miyaji
- Department of Urology, Kawasaki Medical School, Kurashiki City, Okayama, 701-0192, Japan
| | - Akira Yamamoto
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama, 701-0192, Japan
| | - Katsuyoshi Ito
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki City, Okayama, 701-0192, Japan
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Kim B, Breau RH, Papadatos D, Fergusson D, Doucette S, Cagiannos I, Morash C. Diagnostic accuracy of surface coil magnetic resonance imaging at 1.5 T for local staging of elevated risk prostate cancer. Can Urol Assoc J 2011; 4:257-62. [PMID: 20694103 DOI: 10.5489/cuaj.09103] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Preoperative prostate cancer stage predicts prognosis and affects treatment decisions. The purpose of this study was to estimate the sensitivity and specificity of surface coil magnetic resonance imaging (MRI) for prostate cancer stage using surgical pathologic data as the reference standard. METHODS High-risk patients (>/=cT3 or PSA >/=20 ng/mL or Gleason >/=8) and selected intermediate-risk patients (clinically bulky disease on exam or biopsy, cT2b/c, or Gleason 7 with >/=3 of 5 biopsy cores positive in a lobe) routinely received a pelvic MRI at our institution. The images of identified patients were reviewed by one radiologist who was blinded to clinical information. The radiologist reported presence or absence of tumour within each lobe of the prostate. Extraprostatic extension (EPE), seminal vesicle (SV) invasion and pelvic lymph node (PLN) metastasis were also reported. Radiological findings were compared with prostatectomy pathology reports. RESULTS During the study period, about 320 radical prostatectomies were performed. Of these, 32 had a preoperative surface coil pelvic MRI adequate for analysis. Pathologically, 53 of 64 (82.8%) prostate lobes contained tumour, 17 (26.6%) lobes had associated EPE, 12 (18.8%) had SV involvement and 7 (10.9%) sets of PLNs contained cancer. Magnetic resonance imaging sensitivity and specificity were, respectively, 94.3% and 81.8% for tumour location, 82.4% and 87.2% for EPE, 83.3% and 92.3% for SV invasion and 71.4% and 94.7% for PLN involvement. INTERPRETATION Surface coil MRI accurately stages many prostate cancer patients with elevated risk of extraprostatic disease. This mode of imaging may be reasonable at centres that do not have endorectal coil MRI.
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Affiliation(s)
- Brian Kim
- Division of Urology, Department of Surgery, University of Ottawa, Ottawa, ON
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