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Shape Analysis of Peripheral Zone Observations on Prostate DWI: Correlation to Histopathology Outcomes After Radical Prostatectomy. AJR Am J Roentgenol 2020; 214:1239-1247. [PMID: 32228325 DOI: 10.2214/ajr.19.22318] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE. The objective of our study was to subjectively and quantitatively assess shape features of peripheral zone (PZ) tumors at DWI compared with pathologic outcomes. MATERIALS AND METHODS. During the study period, 241 consecutive men with PZ dominant prostate tumors underwent 3-T MRI including DWI before undergoing radical prostatectomy. DW images of these patients were retrospectively assessed by two blinded radiologists. The reviewers assigned Prostate Imaging Reporting and Data System (PI-RADS) shape categories (round or oval, crescentic [i.e., conforming to PZ], linear or wedge-shaped) and segmented tumors for quantitative shape analysis. Discrepancies were resolved by consensus. Comparisons were performed with Gleason score (GS) and pathologic stage. RESULTS. Consensus review results were as follows: 63.9% (154/241) of tumors were round or oval; 22.8% (55/241), crescentic; and 13.3% (32/241), linear or wedge-shaped. Agreement for shape assessment was moderate (κ = 0.41). Round or oval tumors were higher grade (GS 6 = 1.3%, GS 7 = 78.0%, GS ≥ 8 = 20.7%) than crescentic tumors (GS 6 = 9.1%, GS 7 = 74.6%, GS ≥ 8 = 16.3%) and linear or wedge-shaped tumors (GS 6 = 6.3%, GS 7 = 78.1%, GS ≥ 8 = 15.6%) (p = 0.011). In addition, round or oval tumors had higher rates of extraprostatic extension (EPE) and seminal vesicle invasion (SVI) (EPE and SVI: 70.1% and 26.0%) than crescentic tumors (67.3% and 9.1%; p = 0.003) and linear or wedge-shaped tumors (40.6% and 9.4%; p = 0.008). Quantitatively, the shape features termed "circularity" and "roundness" were associated with EPE (p < 0.001 and p = 0.003), SVI (p < 0.001 and p = 0.029), and increasing GS (p = 0.009 and p = 0.021), but there was overlap between groups. CONCLUSION. In this study, approximately 10% of resected PZ tumors were linear or wedge-shaped on DWI. PZ tumors that were judged subjectively and evaluated quantitatively to be round or oval were associated with increased prostate cancer aggressiveness.
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Barat M, Colleter L, Mongiat-Artus P, Jolibois Z, Quero L, Hennequin C, Desgrandchamps F, de Kerviler E. Salvage cryoablation for local recurrence of prostatic cancer after curative therapy. Diagn Interv Imaging 2019; 100:679-687. [PMID: 31331832 DOI: 10.1016/j.diii.2019.07.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 06/27/2019] [Accepted: 07/01/2019] [Indexed: 01/14/2023]
Abstract
PURPOSE The purpose of this study was to determine the efficacy of salvage cryotherapy for intra-prostatic and local extraprostatic recurrences after curative treatment of prostate adenocarcinoma. MATERIAL AND METHOD Twenty-eight men (mean age, 69±6 [SD] years; range: 51-82 years) treated with cryoablation for prostatic (N=21) or extraprostatic (N=7) recurrent prostate cancer after radiotherapy with or without associated prostatectomy were included. Technical success, complication and recurrences were reported. Biological recurrence was defined as an elevation ≥2ng/mL of prostate specific antigen (PSA) serum level after the treatment. RESULTS The mean follow-up was 18 months. Among the 21 patients with intraprostatic recurrence, 14 had successful cryotherapy with a mean decrease in serum prostate-specific antigen (PSA) levels of -5.7±2.6 (SD) ng/mL (range: -2.1 to -16.9ng/mL). Four patients (19%) had early progression and three patients (14%) had delayed biological recurrence (mean time: 15 months). Among the 7 patients with extraprostatic recurrence, 2/7 (291%) had successful cryotherapy with a decrease in PSA serum level of -2.7±1.6 (SD) ng/mL (range: -0.5--5.5ng/mL) and 4/7 (57%) had early biological recurrence after cryotherapy that required androgen deprivation therapy, whereas 1/7 (4%) was lost to follow-up. No major complications were observed for both intra- and extraprostatic recurrence. CONCLUSION Salvage cryoablation of locally recurrent prostate cancer after curative treatment is feasible and safe when the half prostate is treated. It could delay initiation of androgen deprivation therapy in these patients.
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Affiliation(s)
- M Barat
- Department of Radiology, Hôpital Cochin, AP-HP, & Université de Paris-Descartes Paris 5,, 75014 Paris, France.
| | - L Colleter
- Department of Radiology, Hôpital Saint-Louis, APHP & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - P Mongiat-Artus
- Department of Urology, Hôpital Saint-Louis & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - Z Jolibois
- Department of Radiology, Hôpital Saint-Louis, APHP & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - L Quero
- Department of Radiation Oncology, Hôpital Saint-Louis & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - C Hennequin
- Department of Radiation Oncology, Hôpital Saint-Louis & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - F Desgrandchamps
- Department of Urology, Hôpital Saint-Louis & Université de Paris-Diderot Paris 7, 75010 Paris, France
| | - E de Kerviler
- Department of Radiology, Hôpital Saint-Louis, APHP & Université de Paris-Diderot Paris 7, 75010 Paris, France
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Rouviere O, Moldovan PC. The current role of prostate multiparametric magnetic resonance imaging. Asian J Urol 2018; 6:137-145. [PMID: 31061799 PMCID: PMC6488694 DOI: 10.1016/j.ajur.2018.12.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 10/26/2018] [Accepted: 10/26/2018] [Indexed: 12/21/2022] Open
Abstract
Prostate multi-parametric magnetic resonance imaging (mpMRI) has shown excellent sensitivity for Gleason ≥7 cancers, especially when their volume is ≥0.5 mL. As a result, performing an mpMRI before prostate biopsy could improve the detection of clinically significant prostate cancer (csPCa) by adding targeted biopsies to systematic biopsies. Currently, there is a consensus that targeted biopsies improve the detection of csPCa in the repeat biopsy setting and at confirmatory biopsy in patients considering active surveillance. Several prospective multicentric controlled trials recently showed that targeted biopsy also improved csPCa detection in biopsy-naïve patients. The role of mpMRI and targeted biopsy during the follow-up of active surveillance remains unclear. Whether systematic biopsy could be omitted in case of negative mpMRI is also a matter of controversy. mpMRI did show excellent negative predictive values (NPV) in the literature, however, since NPV depends on the prevalence of the disease, negative mpMRI findings should be interpreted in the light of a priori risk for csPCa of the patient. Nomograms combining mpMRI findings and classical risk predictors (age, prostate-specific antigen density, digital rectal examination, etc.) will probably be developed in the future to decide whether a prostate biopsy should be obtained. mpMRI has a good specificity for detecting T3 stage cancers, but its sensitivity is low. It should therefore not be used routinely for staging purposes in low-risk patients. Nomograms combining mpMRI findings and other clinical and biochemical data will also probably be used in the future to better assess the risk of T3 stage disease.
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Affiliation(s)
- Olivier Rouviere
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France.,Université de Lyon, Lyon, France.,Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
| | - Paul Cezar Moldovan
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France.,Université de Lyon, Lyon, France.,Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
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van Schie MA, Dinh CV, Houdt PJV, Pos FJ, Heijmink SWTJP, Kerkmeijer LGW, Kotte ANTJ, Oyen R, Haustermans K, van der Heide UA. Contouring of prostate tumors on multiparametric MRI: Evaluation of clinical delineations in a multicenter radiotherapy trial. Radiother Oncol 2018; 128:321-326. [PMID: 29731160 DOI: 10.1016/j.radonc.2018.04.015] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 03/26/2018] [Accepted: 04/11/2018] [Indexed: 11/18/2022]
Abstract
PURPOSE To date no guidelines are available for contouring prostate cancer inside the gland, as visible on multiparametric (mp-) MRI. We assessed inter-institutional differences in interpretation of mp-MRI in the multicenter phase III FLAME trial. METHODS We analyzed clinical delineations on mp-MRI and clinical characteristics from 260 patients across three institutes. We performed a logistic regression analysis to examine each institute's weighting of T2w, ADC and Ktrans intensity maps in the delineation of the cancer. As reviewing of all delineations by an expert panel is not feasible, we made a selection based on discrepancies between a published tumor probability (TP) model and each institute's clinical delineations using Areas Under the ROC Curve (AUC) analysis. RESULTS Regression coefficients for the three institutes were -0.07, -0.27 and -0.11 for T2w, -1.96, -0.53 and -0.65 for ADC and 0.15, 0.20 and 0.62 for Ktrans, with significant differences between institutes for ADC and Ktrans. AUC analysis showed median AUC values of 0.92, 0.80 and 0.79. Five patients with lowest AUC values were reviewed by a uroradiologist. CONCLUSION Regression coefficients revealed considerably different interpretations of mp-MRI in tumor contouring between institutes and demonstrated the need for contouring guidelines. Based on AUC values outlying delineations could efficiently be identified for review.
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Affiliation(s)
- Marcel A van Schie
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cuong V Dinh
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Petra J van Houdt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Floris J Pos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Linda G W Kerkmeijer
- Department of Radiation Oncology, University Medical Center, Utrecht, The Netherlands
| | - Alexis N T J Kotte
- Department of Radiation Oncology, University Medical Center, Utrecht, The Netherlands
| | - Raymond Oyen
- Department of Radiology, University Hospitals, Leuven, Belgium
| | - Karin Haustermans
- Department of Radiation Oncology, University Hospitals, Leuven, Belgium
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Abstract
Multi-parametric magnetic resonance imaging (mp-MRI) has an increasingly important role in the diagnosis of prostate cancer. Due to the large amount of data and variations in mp-MRI, tumor detection can be affected by multiple factors, such as the observer's clinical experience, image quality, and appearance of the lesions. In order to improve the quantitative assessment of the disease and reduce the reporting time, various computer-aided diagnosis (CAD) systems have been designed to help radiologists identify lesions. This manuscript presents an overview of the literature regarding prostate CAD using mp-MRI, while focusing on the studies of the most recent five years. Current prostate CAD technologies and their utilization are discussed in this review.
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Rouvière O, Dagonneau T, Cros F, Bratan F, Roche L, Mège-Lechevallier F, Ruffion A, Crouzet S, Colombel M, Rabilloud M. Diagnostic value and relative weight of sequence-specific magnetic resonance features in characterizing clinically significant prostate cancers. PLoS One 2017; 12:e0178901. [PMID: 28599001 PMCID: PMC5466299 DOI: 10.1371/journal.pone.0178901] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Accepted: 05/19/2017] [Indexed: 11/30/2022] Open
Abstract
Purpose To assess the diagnostic weight of sequence-specific magnetic resonance features in characterizing clinically significant prostate cancers (csPCa). Materials and methods We used a prospective database of 262 patients who underwent T2-weighted, diffusion-weighted, and dynamic contrast-enhanced (DCE) imaging before prostatectomy. For each lesion, two independent readers (R1, R2) prospectively defined nine features: shape, volume (V_Max), signal abnormality on each pulse sequence, number of pulse sequences with a marked (S_Max) and non-visible (S_Min) abnormality, likelihood of extracapsular extension (ECE) and PSA density (dPSA). Overall likelihood of malignancy was assessed using a 5-level Likert score. Features were evaluated using the area under the receiver operating characteristic curve (AUC). csPCa was defined as Gleason ≥7 cancer (csPCa-A), Gleason ≥7(4+3) cancer (csPCa-B) or Gleason ≥7 cancer with histological extraprostatic extension (csPCa-C), Results For csPCa-A, the Signal1 model (S_Max+S_Min) provided the best combination of signal-related variables, for both readers. The performance was improved by adding V_Max, ECE and/or dPSA, but not shape. All models performed better with DCE findings than without. When moving from csPCa-A to csPCa-B and csPCa-C definitions, the added value of V_Max, dPSA and ECE increased as compared to signal-related variables, and the added value of DCE decreased. For R1, the best models were Signal1+ECE+dPSA (AUC = 0,805 [95%CI:0,757–0,866]), Signal1+V_Max+dPSA (AUC = 0.823 [95%CI:0.760–0.893]) and Signal1+ECE+dPSA [AUC = 0.840 (95%CI:0.774–0.907)] for csPCa-A, csPCA-B and csPCA-C respectively. The AUCs of the corresponding Likert scores were 0.844 [95%CI:0.806–0.877, p = 0.11], 0.841 [95%CI:0.799–0.876, p = 0.52]) and 0.849 [95%CI:0.811–0.884, p = 0.49], respectively. For R2, the best models were Signal1+V_Max+dPSA (AUC = 0,790 [95%CI:0,731–0,857]), Signal1+V_Max (AUC = 0.813 [95%CI:0.746–0.882]) and Signal1+ECE+V_Max (AUC = 0.843 [95%CI: 0.781–0.907]) for csPCa-A, csPCA-B and csPCA-C respectively. The AUCs of the corresponding Likert scores were 0. 829 [95%CI:0.791–0.868, p = 0.13], 0.790 [95%CI:0.742–0.841, p = 0.12]) and 0.808 [95%CI:0.764–0.845, p = 0.006]), respectively. Conclusion Combination of simple variables can match the Likert score’s results. The optimal combination depends on the definition of csPCa.
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Affiliation(s)
- Olivier Rouvière
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France
- Université de Lyon, Lyon, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
- Inserm, U1032, LabTau, Lyon, France
- * E-mail:
| | - Tristan Dagonneau
- Hospices Civils de Lyon, Service de Biostatistique et Bioinformatique, Lyon, France; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biotatistique-Santé, Villeurbanne, France
| | - Fanny Cros
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France
| | - Flavie Bratan
- Hospices Civils de Lyon, Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France
| | - Laurent Roche
- Hospices Civils de Lyon, Service de Biostatistique et Bioinformatique, Lyon, France; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biotatistique-Santé, Villeurbanne, France
| | | | - Alain Ruffion
- Hospices Civils de Lyon, Department of Urology, Centre Hospitalier Lyon Sud, Pierre Bénite, France
| | - Sébastien Crouzet
- Université de Lyon, Lyon, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
- Inserm, U1032, LabTau, Lyon, France
- Hospices Civils de Lyon, Department of Urology, Hôpital Edouard Herriot, Lyon, France
| | - Marc Colombel
- Université de Lyon, Lyon, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
- Hospices Civils de Lyon, Department of Urology, Hôpital Edouard Herriot, Lyon, France
| | - Muriel Rabilloud
- Université de Lyon, Lyon, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon, France
- Hospices Civils de Lyon, Service de Biostatistique et Bioinformatique, Lyon, France; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biotatistique-Santé, Villeurbanne, France
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Liu L, Tian Z, Zhang Z, Fei B. Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications. Acad Radiol 2016; 23:1024-46. [PMID: 27133005 PMCID: PMC5355004 DOI: 10.1016/j.acra.2016.03.010] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Revised: 03/18/2016] [Accepted: 03/21/2016] [Indexed: 01/10/2023]
Abstract
One in six men will develop prostate cancer in his lifetime. Early detection and accurate diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently, imaging of prostate cancer has greatly advanced since the introduction of multiparametric magnetic resonance imaging (mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and magnetic resonance spectroscopy imaging. Because of the big data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. To improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This review paper presents an overview of literatures on computer-aided detection of prostate cancer with mp-MRI, which include the technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.
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Affiliation(s)
- Lizhi Liu
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA 30329; Center of Medical Imaging and Image-guided Therapy, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Zhiqiang Tian
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA 30329
| | - Zhenfeng Zhang
- Center of Medical Imaging and Image-guided Therapy, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Baowei Fei
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Road NE, Atlanta, GA 30329; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, 1841 Clifton Road NE, Atlanta, Georgia 30329; Winship Cancer Institute of Emory University, 1841 Clifton Road NE, Atlanta, Georgia 30329.
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Rosset R, Bratan F, Crouzet S, Tonoli-Catez H, Mège-Lechevallier F, Gelet A, Rouvière O. Can pre- and postoperative magnetic resonance imaging predict recurrence-free survival after whole-gland high-intensity focused ablation for prostate cancer? Eur Radiol 2016; 27:1768-1775. [DOI: 10.1007/s00330-016-4491-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 05/31/2016] [Accepted: 06/22/2016] [Indexed: 12/18/2022]
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Magnetic resonance imaging for prostate cancer radiotherapy. Phys Med 2016; 32:446-51. [PMID: 26858164 DOI: 10.1016/j.ejmp.2016.01.484] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 01/13/2016] [Accepted: 01/26/2016] [Indexed: 11/21/2022] Open
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Prostate Focused Ultrasound Therapy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 880:21-41. [PMID: 26486330 DOI: 10.1007/978-3-319-22536-4_2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Lee SH, Koo KC, Lee DH, Chung BH. Nonvisible tumors on multiparametric magnetic resonance imaging does not predict low-risk prostate cancer. Prostate Int 2015; 3:127-31. [PMID: 26779459 PMCID: PMC4685234 DOI: 10.1016/j.prnil.2015.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 09/20/2015] [Accepted: 09/24/2015] [Indexed: 12/02/2022] Open
Abstract
Purpose To determine whether multiparametric MRI could help predict the diagnosis of low-risk prostate cancer (PCA). Methods We retrospectively analyzed consecutive 623 patients with PCA who underwent multiparametric MRI before radical prostatectomy(RP). High-resolution T1- and T2-weighted, diffusion-weighted, and dynamic precontrast and postcontrast image sequences were obtained for each patient. Of the 623 patients, 177(28.4%) exhibited non visible tumors on MRI of clinical stage T1c. The imaging results were compared with the pathological findings with respect to both stage and Gleason scores (GS). Results Of the 177 prostatectomy patients with non visible tumors on MRI, pathological findings resulted in the upgrading of 49(27.7%) patients to a sum of GS 7 or more. 101(57.1%) patients exhibited tumor volumes greater than 0.5cc. The biochemical recurrence rate was significantly higher in the pathological upgraded group compared with the nonupgraded group after a mean follow-up time of 29 months. In the multiple logistic analysis, non visible tumor on MRI was not a significant predictor of low-risk PCA. Conclusions Even though cancer foci were not visualized by postbiopsy MRI, the pathological tumor volumes and extent of GS upgrading were relatively high. Therefore, nonvisible tumors by multiparametric MRI do not appear to be predictive of low-risk PCA.
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Affiliation(s)
- Seung Hwan Lee
- Department of Urology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Kyo Chul Koo
- Department of Urology, Gangnam Severance Hospital, Yonsei University Health System, Seoul, South Korea
| | - Dong Hoon Lee
- Department of Urology, Busan National University College of Medicine, Busan, South Korea
| | - Byung Ha Chung
- Department of Urology, Gangnam Severance Hospital, Yonsei University Health System, Seoul, South Korea
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Hoang Dinh A, Souchon R, Melodelima C, Bratan F, Mège-Lechevallier F, Colombel M, Rouvière O. Characterization of prostate cancer using T2 mapping at 3T: a multi-scanner study. Diagn Interv Imaging 2014; 96:365-72. [PMID: 25547670 DOI: 10.1016/j.diii.2014.11.016] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
RATIONALE AND OBJECTIVES To assess the prostate T2 value as a predictor of malignancy on two different 3T scanners. PATIENTS AND METHODS Eighty-three pre-prostatectomy multiparametric MRIs were retrospectively evaluated [67 obtained on a General Electric MRI (scanner 1) and 16 on a Philips MRI (scanner 2)]. After correlation with prostatectomy specimens, readers measured the T2 value of regions-of-interest categorized as "cancers", "false positive lesions", or "normal tissue". RESULTS On scanner 1, in PZ, cancers had significantly lower T2 values than false positive lesions (P=0.02) and normal tissue (P=2×10(-9)). Gleason≥6 cancers had similar T2 values than false positive lesions and significantly higher T2 values than Gleason≥7 cancers (P=0.009). T2 values corresponding to a 25% and 75% risk of Gleason≥7 malignancy were respectively 132 ms (95% CI: 129-135 ms) and 77 ms (95% CI: 74-81 ms). In TZ, cancers had significantly lower T2 values than normal tissue (P=0.008), but not than false positive findings. Mean T2 values measured on scanner 2 were not significantly different than those measured on scanner 1 for all tissue classes. CONCLUSION All tested tissue classes had similar mean T2 values on both scanners. In PZ, the T2 value was a significant predictor of Gleason≥7 cancers.
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Affiliation(s)
| | - R Souchon
- Inserm, U1032, LabTau, Lyon 69003, France
| | - C Melodelima
- Université Joseph-Fourier, laboratoire d'écologie Alpine, BP 53, Grenoble 38041, France; CNRS, UMR 5553, BP 53, Grenoble 38041, France
| | - F Bratan
- Inserm, U1032, LabTau, Lyon 69003, France; Hospices civils de Lyon, department of urinary and vascular radiology, hôpital Édouard-Herriot, Lyon 69437, France; Université de Lyon, Lyon 69003, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon 69003, France
| | - F Mège-Lechevallier
- Hospices civils de Lyon, department of pathology, hôpital Édouard-Herriot, Lyon, 69437, France
| | - M Colombel
- Université de Lyon, Lyon 69003, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon 69003, France; Hospices civils de Lyon, department of urology, hôpital Édouard-Herriot, Lyon, 69437, France
| | - O Rouvière
- Inserm, U1032, LabTau, Lyon 69003, France; Hospices civils de Lyon, department of urinary and vascular radiology, hôpital Édouard-Herriot, Lyon 69437, France; Université de Lyon, Lyon 69003, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon 69003, France.
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Vaché T, Bratan F, Mège-Lechevallier F, Roche S, Rabilloud M, Rouvière O. Characterization of prostate lesions as benign or malignant at multiparametric MR imaging: comparison of three scoring systems in patients treated with radical prostatectomy. Radiology 2014; 272:446-55. [PMID: 24937690 DOI: 10.1148/radiol.14131584] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
PURPOSE To compare the subjective Likert score to the Prostate Imaging Reporting and Data System (PIRADS) and morphology-location-signal intensity (MLS) scores for categorization of prostate lesions as benign or malignant at multiparametric magnetic resonance (MR) imaging. MATERIALS AND METHODS Two hundred fifteen patients who underwent T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced multiparametric MR imaging of the prostate before radical prostatectomy were included in a prospective database after they signed the institutional review board-approved forms. Senior readers 1 and 2 prospectively noted the location, shape, and signal intensity of lesions on MR images from individual pulse sequences and scored each for likelihood of malignancy by using a Likert scale (range, 1-5). A junior reader (reader 3) retrospectively reviewed the database and did the same analysis. The MLS score (range, 1-13) was computed by using the readers' descriptions of the lesions. Then, the three readers again scored the lesions they described by using the PIRADS score (range, 3-15). MLS and PIRADS scores were compared with the Likert score by using their areas under the receiver operating characteristic curves. RESULTS Areas under the receiver operating characteristic curves of the Likert, MLS, and PIRADS scores were 0.81, 0.77 (P = .03), and 0.75 (P = .01) for reader 1; 0.88, 0.74 (P < .0001), and 0.76 (P < .0001) for reader 2; and 0.81, 0.78 (P = .23), and 0.75 (P = .01) for reader 3. For diagnosing cancers with Gleason scores greater than or equal to 7, the Likert score was significantly more accurate than the others, except for the MLS score for reader 3. Weighted κ values were 0.470-0.524, 0.405-0.430, and 0.378-0.441 for the Likert, MLS, and PIRADS scores, respectively. CONCLUSION The Likert score allowed significantly more accurate categorization of prostate lesions on MR images than did the MLS and PIRADS scores.
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Affiliation(s)
- Tiphaine Vaché
- From the Departments of Urinary and Vascular Radiology (T.V., F.B., O.R.) and Pathology (F.M.L.), Hospices Civils de Lyon, Hôpital Edouard Herriot, 5 place d'Arsonval, 69437 Lyon Cedex 03-France; Université de Lyon, Lyon, France; Université Lyon 1, Faculté de Médecine Lyon Est, Lyon, France (F.B., O.R.); Inserm, U1032, LabTau, Lyon, France; Université de Lyon, Lyon, France; Université Lyon 1, France (F.B., O.R.); Department of Biostatistics, Hospices Civils de Lyon, Lyon, France; Université de Lyon, Lyon, France; Université Lyon 1; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biotatistique-Santé, Villeurbanne, France (S.R., M.R.)
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Rosenkrantz AB, Geppert C, Grimm R, Block TK, Glielmi C, Feng L, Otazo R, Ream JM, Romolo MM, Taneja SS, Sodickson DK, Chandarana H. Dynamic contrast-enhanced MRI of the prostate with high spatiotemporal resolution using compressed sensing, parallel imaging, and continuous golden-angle radial sampling: preliminary experience. J Magn Reson Imaging 2014; 41:1365-73. [PMID: 24833417 DOI: 10.1002/jmri.24661] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Revised: 04/24/2014] [Accepted: 04/28/2014] [Indexed: 01/06/2023] Open
Abstract
PURPOSE To demonstrate dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) of the prostate with both high spatial and temporal resolution via a combination of golden-angle radial k-space sampling, compressed sensing, and parallel-imaging reconstruction (GRASP), and to compare image quality and lesion depiction between GRASP and conventional DCE in prostate cancer patients. MATERIALS AND METHODS Twenty prostate cancer patients underwent two 3T prostate MRI examinations on separate dates, one using standard DCE (spatial resolution 3.0 × 1.9 × 1.9 mm, temporal resolution 5.5 sec) and the other using GRASP (spatial resolution 3.0 × 1.1 × 1.1 mm, temporal resolution 2.3 sec). Two radiologists assessed measures of image quality and dominant lesion size. The experienced reader recorded differences in contrast arrival times between the dominant lesion and benign prostate. RESULTS Compared with standard DCE, GRASP demonstrated significantly better clarity of the capsule, peripheral/transition zone boundary, urethra, and periprostatic vessels; image sharpness; and lesion conspicuity for both readers (P < 0.001-0.020). GRASP showed improved interreader correlation for lesion size (GRASP: r = 0.691-0.824, standard: r = 0.495-0.542). In 8/20 cases, only GRASP showed earlier contrast arrival in tumor than benign; in no case did only standard DCE show earlier contrast arrival in tumor. CONCLUSION High spatiotemporal resolution prostate DCE is possible with GRASP, which has the potential to improve image quality and lesion depiction as compared with standard DCE.
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Niaf E, Lartizien C, Bratan F, Roche L, Rabilloud M, Mège-Lechevallier F, Rouvière O. Prostate focal peripheral zone lesions: characterization at multiparametric MR imaging--influence of a computer-aided diagnosis system. Radiology 2014; 271:761-9. [PMID: 24592959 DOI: 10.1148/radiol.14130448] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess the impact of a computer-aided diagnosis (CAD) system in the characterization of focal prostate lesions at multiparametric magnetic resonance (MR) imaging. MATERIALS AND METHODS Formal institutional review board approval was not required. Thirty consecutive 1.5-T multiparametric MR imaging studies (with T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced imaging) obtained before radical prostatectomy in patients between September 2008 and February 2010 were reviewed. Twelve readers assessed the likelihood of malignancy of 88 predefined peripheral zone lesions by using a five-level (level, 0-4) subjective score (SS) in reading session 1. This was repeated 5 weeks later in reading session 2. The CAD results were then disclosed, and in reading session 3, the readers could amend the scores assigned during reading session 2. Diagnostic accuracy was assessed by using a receiver operating characteristic (ROC) regression model and was quantified with the area under the ROC curve (AUC). RESULTS Mean AUCs were significantly lower for less experienced (<1 year) readers (P < .02 for all sessions). Seven readers improved their performance between reading sessions 1 and 2, and 12 readers improved their performance between sessions 2 and 3. The mean AUCs for reading session 1 (83.0%; 95% confidence interval [CI]: 77.9%, 88.0%) and reading session 2 (84.1%; 95% CI: 78.1%, 88.7%) were not significantly different (P = .76). Although the mean AUC for reading session 3 (87.2%; 95% CI: 81.0%, 92.0%) was higher than that for session 2, the difference was not significant (P = .08). For an SS positivity threshold of 3, the specificity of reading session 2 (79.0%; 95% CI: 71.1%, 86.4%) was not significantly different from that of session 1 (78.7%; 95% CI: 70.5%, 86.8%) but was significantly lower than that of session 3 (86.2%; 95% CI: 77.1%, 93.1%; P < .03). The sensitivity of reading session 2 (68.4%; 95% CI: 57.5%, 77.7%) was significantly higher than that of session 1 (64.0%; 95% CI: 52.9%, 73.9%; P = .003) but was not significantly different from that of session 3 (71.4%; 95% CI: 58.3%, 82.7%). CONCLUSION A CAD system may improve the characterization of prostate lesions at multiparametric MR imaging by increasing reading specificity.
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Affiliation(s)
- Emilie Niaf
- From Inserm, U1032, LabTau, Lyon, F-69003, France; Université de Lyon, Lyon, F-69003, France; Université Lyon 1, Lyon, F-69003, France (E.N., F.B., O.R.); Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France (E.N., C.L.); Hospices Civils de Lyon, Department of Urinary and Vascular Radiology (F.B., O.R.) and Department of Pathology (F.M.), Hôpital Edouard Herriot, Lyon, F-69437, France; Hospices Civils de Lyon, Department of Biostatistics, F-69003, Lyon, France; Université de Lyon, F-69000, Lyon; Université Lyon 1; CNRS, UMR5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biotatistique-Santé, F-69622, Villeurbanne, France (L.R., M.R.); and Université de Lyon, Lyon, F-69003, France; Université Lyon 1, Faculté de Médecine Lyon Est, Lyon, F-69003, France (O.R.)
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Habchi H, Bratan F, Paye A, Pagnoux G, Sanzalone T, Mège-Lechevallier F, Crouzet S, Colombel M, Rabilloud M, Rouvière O. Value of prostate multiparametric magnetic resonance imaging for predicting biopsy results in first or repeat biopsy. Clin Radiol 2014; 69:e120-8. [DOI: 10.1016/j.crad.2013.10.018] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2013] [Revised: 10/13/2013] [Accepted: 10/30/2013] [Indexed: 12/31/2022]
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Comparison of Interreader Reproducibility of the Prostate Imaging Reporting and Data System and Likert Scales for Evaluation of Multiparametric Prostate MRI. AJR Am J Roentgenol 2013; 201:W612-8. [DOI: 10.2214/ajr.12.10173] [Citation(s) in RCA: 136] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Abstract
Multiparametric magnetic resonance imaging (mpMRI) is of interest for the diagnosis of clinically significant prostate cancer and mpMRI-targeted biopsies are being used increasingly in clinical practice. Target acquisition is performed using a range of magnet strengths and varying combinations of anatomical and functional sequences. Target identification at the time of biopsy can be carried out in the MRI scanner (in-bore biopsy) or, more commonly, the MRI-target is biopsied under ultrasonographic guidance. Many groups use cognitive or visual registration, whereby the biopsy target is identified on MRI and ultrasonography is subsequently used to direct the needle to the same location. Other groups use registration software to show prebiopsy MRI data on real-time ultrasonography. The reporting of histological results in MRI-targeted biopsy studies varies greatly. The most useful reports compare the detection of clinically significant disease in standard cores versus mpMRI-targeted cores in the same cohort of men, as recommended by the STAndards of Reporting for MRI-Targeted biopsy studies (START) consensus panel. Further evidence is needed before an mpMRI-targeted strategy can be recommended as the standard intervention for men at risk of prostate cancer.
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Rosenkrantz AB, Kim S, Lim RP, Hindman N, Deng FM, Babb JS, Taneja SS. Prostate cancer localization using multiparametric MR imaging: comparison of Prostate Imaging Reporting and Data System (PI-RADS) and Likert scales. Radiology 2013; 269:482-92. [PMID: 23788719 DOI: 10.1148/radiol.13122233] [Citation(s) in RCA: 207] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To compare the recently proposed Prostate Imaging Reporting and Data System (PI-RADS) scale that incorporates fixed criteria and a standard Likert scale based on overall impression in prostate cancer localization using multiparametric magnetic resonance (MR) imaging. MATERIALS AND METHODS This retrospective study was HIPAA compliant and institutional review board approved. Seventy patients who underwent 3-T pelvic MR imaging, including T2-weighted imaging, diffusion-weighted imaging, and dynamic contrast material-enhanced imaging, with a pelvic phased-array coil before radical prostatectomy were included. Three radiologists, each with 6 years of experience, independently scored 18 regions (12 peripheral zone [PZ], six transition zone [TZ]) using PI-RADS (range, scores 3-15) and Likert (range, scores 1-5) scales. Logistic regression for correlated data was used to compare scales for detection of tumors larger than 3 mm in maximal diameter at prostatectomy. RESULTS Maximal accuracy was achieved with score thresholds of 8 and higher and of 3 and higher for PI-RADS and Likert scales, respectively. At these thresholds, in the PZ, similar accuracy was achieved with the PI-RADS scale and the Likert scale for radiologist 1 (89.0% vs 88.2%, P = .223) and radiologist 3 (88.5% vs 88.2%, P = .739) and greater accuracy was achieved with the PI-RADS scale than the Likert scale for radiologist 2 (89.6% vs 87.1%, P = .008). In the TZ, accuracy was lower with the PI-RADS scale than with the Likert scale for radiologist 1 (70.0% vs 87.1%, P < .001), radiologist 2 (87.6% vs 92.6%, P = .002), and radiologist 3 (82.9% vs 91.2%, P < .001). For tumors with Gleason score of at least 7, sensitivity was higher with the PI-RADS scale than with the Likert scale for radiologist 1 (88.6% vs 82.6%, P = .032), and sensitivity was similar for radiologist 2 (78.0% vs 76.5, P = .467) and radiologist 3 (77.3% vs 81.1%, P = .125). CONCLUSION Radiologists performed well with both PI-RADS and Likert scales for tumor localization, although, in the TZ, performance was better with the Likert scale than the PI-RADS scale. SUPPLEMENTAL MATERIAL http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.13122233/-/DC1.
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Affiliation(s)
- Andrew B Rosenkrantz
- Department of Radiology, Department of Pathology, and Division of Urologic Oncology, Department of Urology, Langone Medical Center, NYU School of Medicine, 560 First Ave, TCH-HW202, New York, NY 10016
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Chesnais A, Niaf E, Bratan F, Mège-Lechevallier F, Roche S, Rabilloud M, Colombel M, Rouvière O. Differentiation of transitional zone prostate cancer from benign hyperplasia nodules: Evaluation of discriminant criteria at multiparametric MRI. Clin Radiol 2013; 68:e323-30. [DOI: 10.1016/j.crad.2013.01.018] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2012] [Revised: 01/12/2013] [Accepted: 01/23/2013] [Indexed: 10/27/2022]
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Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study. Eur Radiol 2013; 23:2019-29. [PMID: 23494494 DOI: 10.1007/s00330-013-2795-0] [Citation(s) in RCA: 212] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Revised: 01/06/2013] [Accepted: 01/11/2013] [Indexed: 01/18/2023]
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Fiard G, Descotes JL, Rambeaud JJ, Hohn N, Troccaz J, Long JA. Biopsies prostatiques ciblées guidées par IRM dans le diagnostic du cancer de prostate : revue de la littérature. Prog Urol 2012; 22:903-12. [DOI: 10.1016/j.purol.2012.06.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2012] [Revised: 04/13/2012] [Accepted: 06/06/2012] [Indexed: 12/01/2022]
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Advances in imaging and in non-surgical salvage treatments after radiorecurrence in prostate cancer: what does the oncologist, radiotherapist and radiologist need to know? Eur Radiol 2012; 22:2848-58. [PMID: 22797953 DOI: 10.1007/s00330-012-2546-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2012] [Revised: 04/20/2012] [Accepted: 05/18/2012] [Indexed: 01/09/2023]
Abstract
OBJECTIVES In this article the state of art the of prostate cancer (Pca) imaging and non-surgical salvage treatments (STs) is surveyed in order to explore the impact of imaging findings on the identification of radiorecurrent Pca after external beam radiotherapy (EBRT). METHODS A computerised search was performed to identify all relevant studies in Medline up to 2012. Additional articles were extracted based on recommendations from an expert panel of authors. RESULTS Definitive EBRT for Pca is increasingly used as treatment. After radiorecurrent Pca, non-surgical STs are emerging and shifting from investigational status to more established therapeutic options. Therefore, several scientific societies have published guidelines including clinical and imaging recommendations, even if the timing, efficacy and long-term toxicity of these STs have to be established. In some measure, accurately delineating the location and the extent of cancer is critical in selecting target lesions and in identifying patients who are candidates for STs. However, there is increasing awareness that anatomical approaches based on measurements of tumour size have substantial limitations, especially for tumours of unknown activity that persist or recur following irradiation CONCLUSIONS To date, the main focus for innovations in imaging is the combination of excellence in anatomical resolution with specific biological correlates that depict metabolic processes and hallmarks at the tumour level. The emergence of new molecular markers could favour the development of methods that directly determine their presence, thereby improving tumour detection. KEY POINTS Imaging may influence therapeutic decisions during non-surgical STs. MRI findings correlate with parametric maps derived from multiple functional techniques. Non-surgical salvage treatments allow local tumour control in patients with radiorecurrent PCa.
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