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Reijnen JS, Ryg U, Marthinsen JB, Schönhardt I, Seierstad T, Hole KH. Monoparametric high-resolution diffusion weighted MRI as a possible first step in an MRI-directed diagnostic pathway for men with suspicion of prostate cancer. Front Oncol 2023; 13:1102860. [PMID: 36798813 PMCID: PMC9927387 DOI: 10.3389/fonc.2023.1102860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 01/20/2023] [Indexed: 02/01/2023] Open
Abstract
Purpose To explore if a high-resolution diffusion weighted MRI sequence (DWI-only) could be used as a first step in an MRI-directed diagnostic pathway. Methods Prospective single center study that between December 2017 and August 2018 included 129 consecutive patients with suspicion of prostate cancer into a PI-RADS-based MRI-directed diagnostic pathway. All patients had multiparametric MRI (mpMRI). Based on only the transversal high-resolution DWI images two consultant radiologists prospectively categorized the findings as positive, equivocal, or negative for clinically significant cancer. The radiologists then interpreted the mpMRI and assigned a PI-RADS score. A third independent reader retrospectively categorized the DWI-only exams without access to the mpMRI. The interpretations of DWI-only were compared to the PI-RADS classification from mpMRI and the histopathology from the biopsies. Non-biopsied patients were followed in a safety net monitoring for 56 months. Results Based on DWI-only, 29 (22.5%) of the exams were categorized as negative, 38 (29.5%) as equivocal and 62 (48.1%) as positive. Of the 56 patients with PI-RADS 4-5 at mpMRI, 55 were also categorized as positive at DWI-only. All patients diagnosed with clinically significant cancer were identified using DWI-only. 56 months of safety net monitoring did not reveal any clinically significant cancers among patients with exams categorized as negative or equivocal. There was high inter-reader agreement on positive findings, but less agreement on negative and equivocal findings. Conclusions In this concept study, the monoparametric DWI-only identified all patients with clinically significant cancer in a mpMRI-directed diagnostic pathway.
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Affiliation(s)
- Jeroen Sebastiaan Reijnen
- Department of Radiology, Sørlandet Hospital Trust, Kristiansand, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Una Ryg
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Radiology and Nuclear Medicine, Radiumhospitalet, Oslo University Hospital, Oslo, Norway
| | - Jon B. Marthinsen
- Department of Radiology, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Irina Schönhardt
- Department of Pathology, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Therese Seierstad
- Division of Radiology and Nuclear Medicine, Radiumhospitalet, Oslo University Hospital, Oslo, Norway
| | - Knut H. Hole
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Radiology and Nuclear Medicine, Radiumhospitalet, Oslo University Hospital, Oslo, Norway,*Correspondence: Knut H. Hole,
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2
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Giannarini G, Cereser L, Como G, Bonato F, Pizzolitto S, Valotto C, Ficarra V, Dal Moro F, Zuiani C, Girometti R. Accuracy of abbreviated multiparametric MRI-derived protocols in predicting local staging of prostate cancer in men undergoing radical prostatectomy. Acta Radiol 2021; 62:949-958. [PMID: 32718179 DOI: 10.1177/0284185120943047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Abbreviated magnetic resonance imaging (aMRI) protocols have emerged as an alternative to multiparametric MRI (mpMRI) to reduce examination time and costs. PURPOSE To compare multiple aMRI protocols for predicting pathological stage ≥T3 (≥pT3) prostate cancer (PCa). MATERIAL AND METHODS One hundred and eight men undergoing staging mpMRI before radical prostatectomy (RP) were retrospectively evaluated. 3.0-T imaging was performed with a 32-channel surface coil and a protocol including diffusion-weighted imaging (DWI), transverse T2-weighted (tT2W) imaging, coronal T2W (cT2W) imaging, sagittal T2W (sT2) imaging, and dynamic contrast-enhanced (DCE) imaging. Two readers independently assessed whether any MRI observation showed stage ≥T3 on each sequence (reading order: DWI, cT2W, tT2W, sT2W, DCE). Final stage was assessed by matching readers' assignments to pathology, and combining them into eight protocols: DWI + tT2W, DWI + cT2W + tT2W, DWI + tT2W + sT2W, DWI + cT2W + tT2W + sT2W, DWI + tT2W + DCE, DWI + cT2W + tT2W + DCE, DWI + tT2W + sT2W + DCE, and mpMRI. Diagnostic accuracy and inter-reader agreement for aMRI protocols were calculated. RESULTS Prevalence of ≥pT3 PCa was 31.5%. Sensitivity, specificity, positive (PPV) and negative predictive value (NPV) of aMRI protocols were comparable to mpMRI for R1. Sensitivity was 74.3% (95% confidence interval [CI] 64.8-72.0) to 77.1% (95% CI 67.9-84.4), and NPV 86.8% (95% CI 78.6-92.3) to 88.1% (95% CI 80.1-93.3). All accuracy measures of the various aMRI protocols were similar to mpMRI also for R2, albeit all slightly lower compared to R1. On a per-protocol basis, there was substantial inter-reader agreement in predicting stage ≥pT3 (k 0.63-0.67). CONCLUSION When comparing the diagnostic accuracy of multiple aMRI protocols against mpMRI for predicting stage ≥pT3 PCa, the protocol with the fewest sequences (DWI + tT2W) is apparently equivalent to standard mpMRI.
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Affiliation(s)
- Gianluca Giannarini
- Urology Unit, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Lorenzo Cereser
- Institute of Radiology, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Giuseppe Como
- Institute of Radiology, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Filippo Bonato
- Department of Medicine, University of Udine, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Stefano Pizzolitto
- Pathology Unit, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Claudio Valotto
- Urology Unit, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Vincenzo Ficarra
- Department of Human and Pediatric Pathology “Gaetano Barresi,” Urologic Section, University of Messina, Messina, Italy
| | - Fabrizio Dal Moro
- Urologic Clinic, University of Udine, Udine, Italy
- Department of Surgery, Oncology and Gastroenterology, Urology Unit, University of Padua, Padua, Italy
| | - Chiara Zuiani
- Institute of Radiology, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
- Department of Medicine, University of Udine, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
| | - Rossano Girometti
- Institute of Radiology, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
- Department of Medicine, University of Udine, Academic Medical Centre “Santa Maria della Misericordia,” Udine, Italy
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3
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Bao J, Zhi R, Hou Y, Zhang J, Wu C, Wang X, Zhang Y. Optimized
MRI
Assessment for Clinically Significant Prostate Cancer: A
STARD
‐Compliant Two‐Center Study. J Magn Reson Imaging 2020; 53:1210-1219. [PMID: 33075177 DOI: 10.1002/jmri.27394] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/26/2020] [Accepted: 09/29/2020] [Indexed: 11/05/2022] Open
Affiliation(s)
- Jie Bao
- Department of Radiology The First Affiliated Hospital of Soochow University Suzhou China
| | - Rui Zhi
- Department of Radiology The First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Ying Hou
- Department of Radiology The First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Jing Zhang
- Department of Radiology The First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Chen‐Jiang Wu
- Department of Radiology The First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Xi‐Ming Wang
- Department of Radiology The First Affiliated Hospital of Soochow University Suzhou China
| | - Yu‐Dong Zhang
- Department of Radiology The First Affiliated Hospital of Nanjing Medical University Nanjing China
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4
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Kim L, Boxall N, George A, Burling K, Acher P, Aning J, McCracken S, Page T, Gnanapragasam VJ. Clinical utility and cost modelling of the phi test to triage referrals into image-based diagnostic services for suspected prostate cancer: the PRIM (Phi to RefIne Mri) study. BMC Med 2020; 18:95. [PMID: 32299423 PMCID: PMC7164355 DOI: 10.1186/s12916-020-01548-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Accepted: 03/03/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The clinical pathway to detect and diagnose prostate cancer has been revolutionised by the use of multiparametric MRI (mpMRI pre-biopsy). mpMRI however remains a resource-intensive test and is highly operator dependent with variable effectiveness with regard to its negative predictive value. Here we tested the use of the phi assay in standard clinical practice to pre-select men at the highest risk of harbouring significant cancer and hence refine the use of mpMRI and biopsies. METHODS A prospective five-centre study recruited men being investigated through an mpMRI-based prostate cancer diagnostic pathway. Test statistics for PSA, PSA density (PSAd) and phi were assessed for detecting significant cancers using 2 definitions: ≥ Grade Group (GG2) and ≥ Cambridge Prognostic Groups (CPG) 3. Cost modelling and decision curve analysis (DCA) was simultaneously performed. RESULTS A total of 545 men were recruited and studied with a median age, PSA and phi of 66 years, 8.0 ng/ml and 44 respectively. Overall, ≥ GG2 and ≥ CPG3 cancer detection rates were 64% (349/545), 47% (256/545) and 32% (174/545) respectively. There was no difference across centres for patient demographics or cancer detection rates. The overall area under the curve (AUC) for predicting ≥ GG2 cancers was 0.70 for PSA and 0.82 for phi. AUCs for ≥ CPG3 cancers were 0.81 and 0.87 for PSA and phi respectively. AUC values for phi did not differ between centres suggesting reliability of the test in different diagnostic settings. Pre-referral phi cut-offs between 20 and 30 had NPVs of 0.85-0.90 for ≥ GG2 cancers and 0.94-1.0 for ≥ CPG3 cancers. A strategy of mpMRI in all and biopsy only positive lesions reduced unnecessary biopsies by 35% but missed 9% of ≥ GG2 and 5% of ≥ CPG3 cancers. Using PH ≥ 30 to rule out referrals missed 8% and 5% of ≥ GG2 and ≥ CPG3 cancers (and reduced unnecessary biopsies by 40%). This was achieved however with 25% fewer mpMRI. Pathways incorporating PSAd missed fewer cancers but necessitated more unnecessary biopsies. The phi strategy had the lowest mean costs with DCA demonstrating net clinical benefit over a range of thresholds. CONCLUSION phi as a triaging test may be an effective way to reduce mpMRI and biopsies without compromising detection of significant prostate cancers.
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Affiliation(s)
- Lois Kim
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Nicholas Boxall
- Department of Urology, Cambridge University Hospitals Trust, Cambridge, UK
| | - Anne George
- Urological Malignancies Programme CRUK & Cambridge Urology Translational Research and Clinical Trials Office, University of Cambridge Box 193, Cambridge Biomedical Campus Cambridge CB20QQ, Cambridge, UK
| | - Keith Burling
- NIHR Cambridge Biomedical Research Centre, Core Biochemical Assay Laboratory, University of Cambridge, Cambridge, UK
| | - Pete Acher
- Department of Urology, Southend Hospital, Essex, UK
| | - Jonathan Aning
- Department of Urology, North Bristol NHS Trust, Bristol, UK
| | - Stuart McCracken
- Department of Urology, South Tyneside and Sunderland NHS Trust, Sunderland, UK
| | - Toby Page
- Department of Urology, Newcastle Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Vincent J Gnanapragasam
- Department of Urology, Cambridge University Hospitals Trust, Cambridge, UK. .,Urological Malignancies Programme CRUK & Cambridge Urology Translational Research and Clinical Trials Office, University of Cambridge Box 193, Cambridge Biomedical Campus Cambridge CB20QQ, Cambridge, UK. .,Academic Urology Group, Department of Surgery, University of Cambridge, Cambridge, UK.
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Re: Marloes van der Leest, Bas Israël, Eric Bastiaan Cornel, et al. 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. Eur Urol 2019;76:574–81. Eur Urol 2020; 77:e56-e57. [DOI: 10.1016/j.eururo.2019.11.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 11/19/2019] [Indexed: 11/24/2022]
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Barentsz JO, van der Leest MMG, Israël B. Reply to Jochen Walz. Let's Keep It at One Step at a Time: Why Biparametric Magnetic Resonance Imaging Is Not the Priority Today. Eur Urol 2019;76:582-3: How to Implement High-quality, High-volume Prostate Magnetic Resonance Imaging: Gd Contrast Can Help but Is Not the Major Issue. Eur Urol 2019; 76:584-585. [PMID: 31409496 DOI: 10.1016/j.eururo.2019.07.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 07/24/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Jelle O Barentsz
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Marloes M G van der Leest
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bas Israël
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
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