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Volpe F, Nappi C, Piscopo L, Zampella E, Mainolfi CG, Ponsiglione A, Imbriaco M, Cuocolo A, Klain M. Emerging Role of Nuclear Medicine in Prostate Cancer: Current State and Future Perspectives. Cancers (Basel) 2023; 15:4746. [PMID: 37835440 PMCID: PMC10571937 DOI: 10.3390/cancers15194746] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Prostate cancer is the most frequent epithelial neoplasia after skin cancer in men starting from 50 years and prostate-specific antigen (PSA) dosage can be used as an early screening tool. Prostate cancer imaging includes several radiological modalities, ranging from ultrasonography, computed tomography (CT), and magnetic resonance to nuclear medicine hybrid techniques such as single-photon emission computed tomography (SPECT)/CT and positron emission tomography (PET)/CT. Innovation in radiopharmaceutical compounds has introduced specific tracers with diagnostic and therapeutic indications, opening the horizons to targeted and very effective clinical care for patients with prostate cancer. The aim of the present review is to illustrate the current knowledge and future perspectives of nuclear medicine, including stand-alone diagnostic techniques and theragnostic approaches, in the clinical management of patients with prostate cancer from initial staging to advanced disease.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80138 Naples, Italy; (F.V.); (C.N.); (L.P.); (E.Z.); (C.G.M.); (A.P.); (M.I.); (A.C.)
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2
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Koopaei S, Fathi Kazerooni A, Ghafoori M, Alviri M, Pashaei F, Saligheh Rad H. Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate. J Biomed Phys Eng 2023; 13:251-260. [PMID: 37312887 PMCID: PMC10258207 DOI: 10.31661/jbpe.v0i0.2008-1158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 10/28/2020] [Indexed: 06/15/2023]
Abstract
Background The most common cancer (non-cutaneous) malignancy among men is prostate cancer. Management of prostate cancer, including staging and treatment, playing an important role in decreasing mortality rates. Among all current diagnostic tools, multiparametric MRI (mp-MRI) has shown high potential in localizing and staging prostate cancer. Quantification of mp-MRI helps to decrease the dependency of diagnosis on readers' opinions. Objective The aim of this research is to set a method based on quantification of mp-MRI images for discrimination between benign and malignant prostatic lesions with fusion-guided MR imaging/transrectal ultrasonography biopsy as a pathology validation reference. Material and Methods It is an analytical research that 27 patients underwent the mp-MRI examination, including T1- and T2- weighted and diffusion weighted imaging (DWI). Quantification was done by calculating radiomic features from mp-MRI images. Receiver-operating-characteristic curve was done for each feature to evaluate the discriminatory capacity and linear discriminant analysis (LDA) and leave-one-out cross-validation for feature filtering to estimate the sensitivity, specificity and accuracy of the benign and malignant lesion differentiation process is used. Results An accuracy, sensitivity and specificity of 92.6%, 95.2% and 83.3%, respectively, were achieved from a subset of radiomics features obtained from T2-weighted images and apparent diffusion coefficient (ADC) maps for distinguishing benign and malignant prostate lesions. Conclusion Quantification of mp-MRI (T2-weighted images and ADC-maps) based on radiomics feature has potential to distinguish benign with appropriate accuracy from malignant prostate lesions. This technique is helpful in preventing needless biopsies in patients and provides an assisted diagnosis for classifications of prostate lesions.
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Affiliation(s)
- Soheila Koopaei
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Anahita Fathi Kazerooni
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Mahyar Ghafoori
- Department of Radiology, Hazrat Rasoul Akram University Hospital, Tehran, Iran
| | - Mohamadreza Alviri
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
| | - Fakhereh Pashaei
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Radiation Sciences Research Center (RSRC), Aja University of Medical Sciences, Tehran, Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Institute for Advanced Medical Technologies, Imam Hospital, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Science Tehran, Iran
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Laughlin BS, Silva AC, Vora SA, Keole SR, Wong WW, Schild MH, Schild SE. Long-term outcomes of prostate intensity-modulated radiation therapy incorporating a simultaneous intra-prostatic MRI-directed boost. Front Oncol 2022; 12:921465. [PMID: 36033460 PMCID: PMC9399820 DOI: 10.3389/fonc.2022.921465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 07/18/2022] [Indexed: 12/03/2022] Open
Abstract
Purpose/objectives This retrospective study demonstrates the long-term outcomes of treating prostate cancer using intensity modulated (IMRT) with incorporation of MRI-directed boost. Materials/methods From February 2009 to February 2013, 78 men received image-guided IMRT delivering 77.4 Gy in 44 fractions with simultaneously integrated boost to 81-83 Gy to an MRI-identified lesion. Patients with intermediate-risk or high-risk prostate cancer were recommended to receive 6 and 24-36 months of adjuvant hormonal therapy, respectively. Results Median follow-up was 113 months (11-147). There were 18 low-risk, 43 intermediate-risk, and 17 high-risk patients per NCCN risk stratification included in this study. Adjuvant hormonal therapy was utilized in 32 patients (41%). The 10-year biochemical control rate for all patients was 77%. The 10-year biochemical control rates for low-risk, intermediate-risk, and high-risk diseases were 94%, 81%, and 88%, respectively (p = 0.35). The 10-year rates of local control, distant control, and survival were 99%, 88%, and 66%, respectively. Of 25 patients who died, only four (5%) died of prostate cancer. On univariate analysis, T-category and pretreatment PSA level were associated with distant failure rate (p = 0.02). There was no grade =3 genitourinary and gastrointestinal toxicities that persisted at the last follow-up. Conclusions This study demonstrated the long-term efficacy of using MRI to define an intra-prostatic lesion for SIB to 81-83Gy while treating the entire prostate gland to 77.4 Gy with IMRT. Our study confirms that modern MRI can be used to locally intensify dose to prostate tumors providing high long-term disease control while maintaining favorable long-term toxicity.
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Affiliation(s)
- Brady S. Laughlin
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States
| | - Alvin C. Silva
- Department of Radiology, Mayo Clinic, Phoenix, AZ, United States
| | - Sujay A. Vora
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States
| | - Sameer R. Keole
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States
| | - William W. Wong
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States
| | | | - Steven E. Schild
- Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States
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Fernandes MC, Yildirim O, Woo S, Vargas HA, Hricak H. The role of MRI in prostate cancer: current and future directions. MAGMA (NEW YORK, N.Y.) 2022; 35:503-521. [PMID: 35294642 PMCID: PMC9378354 DOI: 10.1007/s10334-022-01006-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 01/16/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate cancer. MRI already plays an essential role in the detection and staging, with the introduction of functional MRI sequences. Recent advancements in radiomics and artificial intelligence are being tested to potentially improve detection, assessment of aggressiveness, and provide usefulness as a prognostic marker. MRI can improve pretreatment risk stratification and therefore selection of and follow-up of patients for active surveillance. MRI can also assist in guiding targeted biopsy, treatment planning and follow-up after treatment to assess local recurrence. MRI has gained importance in the evaluation of metastatic disease with emerging technology including whole-body MRI and integrated positron emission tomography/MRI, allowing for not only better detection but also quantification. The main goal of this article is to review the most recent advances on MRI in prostate cancer and provide insights into its potential clinical roles from the radiologist's perspective. In each of the sections, specific roles of MRI tailored to each clinical setting are discussed along with its strengths and weakness including already established material related to MRI and the introduction of recent advancements on MRI.
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Affiliation(s)
- Maria Clara Fernandes
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Onur Yildirim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
| | - Hebert Alberto Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
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A Prostate MRI Segmentation Tool Based on Active Contour Models Using a Gradient Vector Flow. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10186163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Medical support systems used to assist in the diagnosis of prostate lesions generally related to prostate segmentation is one of the majors focus of interest in recent literature. The main problem encountered in the diagnosis of a prostate study is the localization of a Regions of Interest (ROI) containing a tumor tissue. In this paper, a new GUI tool based on a semi-automatic prostate segmentation is presented. The main rationale behind this tool and the focus of this article is facilitate the time consuming segmentation process used for annotating images in the clinical practice, enabling the radiologists to use novel and easy to use semi-automatic segmentation techniques instead of manual segmentation. In this work, a detailed specification of the proposed segmentation algorithm using an Active Contour Models (ACM) aided with a Gradient Vector Flow (GVF) component is defined. The purpose is to help the manual segmentation process of the main ROIs of prostate gland zones. Finally, an experimental case of use and a discussion part of the results are presented.
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Comparison of 68Ga-PSMA-617 PET/CT with mpMRI for the detection of PCa in patients with a PSA level of 4-20 ng/ml before the initial biopsy. Sci Rep 2020; 10:10963. [PMID: 32620790 PMCID: PMC7334214 DOI: 10.1038/s41598-020-67385-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 06/02/2020] [Indexed: 12/15/2022] Open
Abstract
The study was aimed at assessing the diagnostic performance of 68Ga-PSMA-617 PET/CT in the detection of prostate cancer (PCa) in patients with a prostate-specific antigen (PSA) level of 4–20 ng/ml and to compare its efficacy with that of multiparametric MRI (mpMRI). We analyzed the data of 67 consecutive patients with PSA levels of 4–20 ng/ml who almost simultaneously underwent 68Ga-PSMA-617 PET/CT and mpMRI. 68Ga-PSMA-617 PET/CT and mpMRI diagnostic performances were compared via receiver operating characteristic (ROC) curve analysis. Of the 67 suspected PCa cases, 33 had pathologically confirmed PCa. 68Ga-PSMA-617 PET/CT showed a patient-based sensitivity, specificity, and positive and negative predictive values (PPVs and NPVs) of 87.88%, 88.24%, 87.88%, and 88.24%, respectively. The corresponding values for mpMRI were 84.85%, 52.94%, 63.64%, and 78.26%. The area under the curve values for 68Ga-PSMA-617 PET/CT and mpMRI were 0.881 and 0.689, respectively. 68Ga-PSMA-617 PET/CT showed a better diagnostic performance than mpMRI in the detection of PCa in patients with PSA levels of 4–20 ng/ml.
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Wildeboer RR, van Sloun RJG, Wijkstra H, Mischi M. Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020; 189:105316. [PMID: 31951873 DOI: 10.1016/j.cmpb.2020.105316] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 12/09/2019] [Accepted: 01/04/2020] [Indexed: 05/16/2023]
Abstract
Prostate cancer represents today the most typical example of a pathology whose diagnosis requires multiparametric imaging, a strategy where multiple imaging techniques are combined to reach an acceptable diagnostic performance. However, the reviewing, weighing and coupling of multiple images not only places additional burden on the radiologist, it also complicates the reviewing process. Prostate cancer imaging has therefore been an important target for the development of computer-aided diagnostic (CAD) tools. In this survey, we discuss the advances in CAD for prostate cancer over the last decades with special attention to the deep-learning techniques that have been designed in the last few years. Moreover, we elaborate and compare the methods employed to deliver the CAD output to the operator for further medical decision making.
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Affiliation(s)
- Rogier R Wildeboer
- Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, De Zaale, 5600 MB, Eindhoven, the Netherlands.
| | - Ruud J G van Sloun
- Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, De Zaale, 5600 MB, Eindhoven, the Netherlands.
| | - Hessel Wijkstra
- Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, De Zaale, 5600 MB, Eindhoven, the Netherlands; Department of Urology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Massimo Mischi
- Lab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, De Zaale, 5600 MB, Eindhoven, the Netherlands
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Ahn H, Hwang SI, Lee HJ, Suh HS, Choe G, Byun SS, Hong SK, Lee S, Lee J. Prediction of extraprostatic extension on multi-parametric magnetic resonance imaging in patients with anterior prostate cancer. Eur Radiol 2019; 30:26-37. [DOI: 10.1007/s00330-019-06340-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/03/2019] [Accepted: 06/26/2019] [Indexed: 01/15/2023]
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9
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Durai P, Wu QH, Chiong E. Clinical Aspects and Investigations in Genitourinary Cancer. Urol Oncol 2019. [DOI: 10.1007/978-3-319-42623-5_46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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10
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Sadasivan G, Arul R, Prabaharan A. An Unusual Presentation of Prostate Carcinoma. Indian J Med Paediatr Oncol 2018. [DOI: 10.4103/ijmpo.ijmpo_37_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
AbstractProstate carcinoma is the second most common cancer among men worldwide. Although prostate carcinoma is common, its presentation resembling retroperitoneal fibrosis is uncommon. We report a patient with prostate carcinoma mimicking retroperitoneal fibrosis. An elderly male presenting in a volume overload state with features of obstructive uropathy was diagnosed as a case of prostate carcinoma. Magnetic resonance imaging was suggestive of retroperitoneal fibrosis. The presentation of prostate carcinoma as retroperitoneal fibrosis is rare.
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Affiliation(s)
- Greeshma Sadasivan
- Departments of General Medicine, Coimbatore Medical College Hospital, Coimbatore, Tamil Nadu, India
| | - R Arul
- Departments of Nephrology, Coimbatore Medical College Hospital, Coimbatore, Tamil Nadu, India
| | - A Prabaharan
- Departments of Nephrology, Coimbatore Medical College Hospital, Coimbatore, Tamil Nadu, India
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Azadi J, Nguyen ML, Leroy A, Macura KJ, Gorin MA, Rowe SP. The emerging role of imaging in prostate cancer secondary screening: multiparametric magnetic resonance imaging and the incipient incorporation of molecular imaging. Br J Radiol 2018; 91:20170960. [PMID: 30048145 DOI: 10.1259/bjr.20170960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
An increasingly robust body of evidence indicates that multiparametric MRI (mpMRI) prior to prostate biopsy can improve the detection of clinically significant prostate cancer while avoiding unnecessary biopsies. As a result, the use of mpMRI and biopsy platforms that allow for the real-time fusion of mpMRI and transrectal ultrasound images is now routinely used in clinical practice. On the horizon, molecular imaging offers the promise of improved sensitivity relative to mpMRI and early data would suggest that the combination of mpMRI and positron emission tomography using radiotracers targeting prostate-specific membrane antigen provide a more accurate assessment than either modality alone. In this review, we examine the current role of imaging to aid in the initial diagnosis of prostate cancer.
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Affiliation(s)
- Javad Azadi
- 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, MD , USA
| | - My-Linh Nguyen
- 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, MD , USA
| | | | - Katarzyna J Macura
- 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, MD , USA.,3 The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine , Baltimore , MD, USA
| | - Michael A Gorin
- 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, MD , USA.,3 The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine , Baltimore , MD, USA
| | - Steven P Rowe
- 1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, MD , USA.,3 The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine , Baltimore , MD, USA
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Nascimento-Gonçalves E, Faustino-Rocha AI, Seixas F, Ginja M, Colaço B, Ferreira R, Fardilha M, Oliveira PA. Modelling human prostate cancer: Rat models. Life Sci 2018; 203:210-224. [DOI: 10.1016/j.lfs.2018.04.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 04/10/2018] [Accepted: 04/11/2018] [Indexed: 12/16/2022]
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MRI and 11C Acetate PET/CT for Prediction of Regional Lymph Node Metastasis in Newly Diagnosed Prostate Cancer. Radiol Oncol 2018. [PMID: 29520210 PMCID: PMC5839086 DOI: 10.2478/raon-2018-0001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Background The aim of the study was to examine the value of quantitative and qualitative MRI and 11C acetate PET/CT parameters in predicting regional lymph node (LN) metastasis of newly diagnosed prostate cancer (PCa). Patients and methods Patients with intermediate (n = 6) and high risk (n = 47) PCa underwent 3T MRI (40 patients) and 11C acetate PET/CT (53 patients) before extended pelvic LN dissection. For each patient the visually most suspicious LN was assessed for mean apparent diffusion coefficient (ADCmean), maximal standardized uptake value (SUVmax), size and shape and the primary tumour for T stage on MRI and ADCmean and SUVmax in the index lesion. The variables were analysed in simple and multiple logistic regression analysis. Results All variables, except ADCmean and SUVmax of the primary tumor, were independent predictors of LN metastasis. In multiple logistic regression analysis the best model was ADCmean in combintion with MRI T-stage where both were independent predictors of LN metastasis, this combination had an AUC of 0.81 which was higher than the AUC of 0.65 for LN ADCmean alone and the AUC of 0.69 for MRI T-stage alone. Conclusions Several quantitative and qualitative imaging parameters are predictive of regional LN metastasis in PCa. The combination of ADCmean in lymph nodes and T-stage on MRI was the best model in multiple logistic regression with increased predictive value compared to lymph node ADCmean and T-stage on MRI alone.
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Clinical Aspects and Investigations in Genitourinary Cancer. Urol Oncol 2018. [DOI: 10.1007/978-3-319-42603-7_46-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions. Abdom Radiol (NY) 2017; 42:2732-2744. [PMID: 28702787 DOI: 10.1007/s00261-017-1184-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Review the multiparametric MRI (mpMRI) findings of transition zone (TZ) prostate cancer (PCa) using T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) MRI and to integrate mpMRI findings with clinical history, laboratory values, and histopathology. CONCLUSION TZ prostate tumors are challenging to detect clinically and at MRI. mpMRI using the combination of sequences has the potential to improve accuracy of TZ cancer detection and staging.
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Zang S, Shao G, Cui C, Li TN, Huang Y, Yao X, Fan Q, Chen Z, Du J, Jia R, Sun H, Hua Z, Tang J, Wang F. 68Ga-PSMA-11 PET/CT for prostate cancer staging and risk stratification in Chinese patients. Oncotarget 2017; 8:12247-12258. [PMID: 28103574 PMCID: PMC5355341 DOI: 10.18632/oncotarget.14691] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 12/27/2016] [Indexed: 11/25/2022] Open
Abstract
We evaluated the clinical utility of 68Ga-PSMA-11 PET/CT for staging and risk stratification of treatment-naïve prostate cancer (PCa) and metastatic castrate-resistant prostate cancer (mCRPC). Twenty-two consecutive patients with treatment-naïve PCa and 18 with mCRPC were enrolled. 68Ga-PSMA-11 PET/CT and magnetic resonance imaging (MRI) were performed for the evaluation of primary prostatic lesions, and bone scans were used for evaluation bone metastasis. Among the 40 patients, 37 (92.5% [22 treatment-naïve PCa, 15 mCRPC]) showed PSMA-avid lesions on 68Ga-PSMA-11 images. Only 3 patients with stable mCRPC after chemotherapy were negative for PSMA. The sensitivity, specificity and accuracy of 68Ga-PSMA-11 imaging were 97.3%, 100.0% and 97.5%, respectively. The maximum standardized uptake (SUVmax) of prostatic lesions was 17.09 ± 11.08 and 13.33 ± 12.31 in treatment-naïve PCa and mCRPC, respectively. 68Ga-PSMA-11 revealed 105 metastatic lymph nodes in 15 patients; the SUVmax was 16.85 ± 9.70 and 7.54 ± 5.20 in treatment-naïve PCa and mCRPC, respectively. 68Ga-PSMA-11 PET/CT also newly detected visceral metastasis in 9 patients (22.5%) and bone metastasis in 29 patients (72.5%). 68Ga-PSMA-11 PET/CT exhibits potential for staging and risk stratification in naïve PCa, as well as improved sensitivity for detection of lymph node and remote metastasis.
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Affiliation(s)
- Shiming Zang
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Guoqiang Shao
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Can Cui
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Tian-Nv Li
- Department of Nuclear Medicine, PET Centre, No. 1 Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China
| | - Yue Huang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Xiaochen Yao
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Qiu Fan
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Zejun Chen
- Department of Nuclear Medicine, The Affiliated Jiangyin Hospital of Southeast University Medical College, Jiangyin 214400, China
| | - Jin Du
- Department of Technology Development, China Isotope Radiation Corporation, No. 1 Nansixiang, Sanlihe, West District, Beijing 100045, China
| | - Ruipeng Jia
- Department of Urology, Nanjing Medical University, Nanjing 210006, China
| | - Hongbin Sun
- Department of Urology, Nanjing Medical University, Nanjing 210006, China
| | - Zichun Hua
- The State Key Laboratory of Pharmaceutical Biotechnology, Department of Biochemistry, College of Life Sciences, Nanjing University, Nanjing 210006, China
| | - Jun Tang
- Department of Nuclear Medicine, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Feng Wang
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
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Jagannathan D, Indiran V. Accuracy of Diffusion Weighted Images and MR Spectroscopy in Prostate Lesions - Our Experience with Endorectal Coil on 1.5 T MRI. J Clin Diagn Res 2017; 11:TC10-TC14. [PMID: 28658871 DOI: 10.7860/jcdr/2017/27754.9825] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 04/07/2017] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Prostatic cancer is most commonly seen in individuals greater than 65 years of age. The incidence rates are constantly increasing. AIM To assess the accuracy of the non-contrast sequences {Diffusion Weighted Imaging (DWI) and Magnetic Resonance Spectroscopy (MRS)} in the multiparametric Magnetic Resonance Imaging (mp-MRI) in identifying and differentiating benign and malignant prostate lesions using endorectal coil on 1.5 T MRI. MATERIALS AND METHODS Twenty-six patients with clinical indications for prostate lesions were evaluated using endorectal coil on 1.5 T MRI. DWI and MRS were obtained in all the lesions. Signal change on T2 weighted images, Apparent Diffusion Coefficient (ADC) values and choline + creatinine to citrate ratios (Cho+Cr/Ci) of the lesions were obtained for all the patients. All the patients underwent Transrectal Ultrasound (TRUS) guided biopsy within one week of MRI study. Signal change on T2 weighted images, DWI and Cho+Cr/Ci ratios were correlated with the histopathological findings using appropriate statistical analysis (Wilson score). RESULTS Of the 26 patients, seven had benign pathology and 19 had malignant pathology on the histopathological examination. Sensitivity and specificity (89.5% and 85.7% respectively) of the diagnosis of malignancy based on DWI were quite good. Positive and negative predictive values were also very much acceptable (94.4% and 75% respectively). Though, MRS had good sensitivity and Positive Predictive Value (PPV) (84.2% and 76.2% respectively), specificity and Negative Predictive Value (NPV) were poor (28.6% and 40% respectively). Accuracy of imaging diagnosis based on combining T2, DWI and MRS was same as that of results based on T2 signal alone (80.8%) and had higher sensitivity and lower specificity than DWI alone (94.7% and 42.9% respectively). Receiver Operating Characteristic (ROC) curves were calculated for ADC values and Cho+Cr/Ci ratios. The Area Under the Curve (AUC) for ADC is 0.74 and for Cho+Cr/Ci is 0.70. CONCLUSION Comparing the accuracy of the non-contrast sequences T2, DWI and MRS in identifying and differentiating benign and malignant lesions, giving weightage to the MRS in mp-MRI reduces the negative predictive value. The diagnosis of malignancy based on diffusion restriction was quite good and it can be the workhorse for prostate cancer detection as a shortened mp-MRI.
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Affiliation(s)
- Devimeenal Jagannathan
- Professor and Head, Department of Radiodiagnosis, Government Kilpauk Medical College, Chennai, Tamil Nadu, India
| | - Venkatraman Indiran
- Professor, Department of Radiodiagnosis, Sree Balaji Medical College and Hospital, Chennai, Tamil Nadu, India
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Follow-up MR imaging of PI-RADS 3 and PI-RADS 4 prostate lesions. Clin Imaging 2017; 43:64-68. [DOI: 10.1016/j.clinimag.2017.01.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 01/12/2017] [Accepted: 01/27/2017] [Indexed: 01/09/2023]
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Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI. Magn Reson Imaging 2016; 34:1227-1234. [PMID: 27451403 DOI: 10.1016/j.mri.2016.06.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 06/14/2016] [Accepted: 06/26/2016] [Indexed: 12/22/2022]
Abstract
PURPOSE The aim of this proof-of-concept work is to propose an unsupervised framework that combines multiple parameters, in "positive-if-all-positive" manner, from different models to localize tumors. METHODS A voxel-by-voxel analysis of the DW-MRI images of whole prostate was performed to obtain parametric maps for D*, D, f, and K using the IVIM and kurtosis models. Ten patients with moderate or high-risk prostate cancer were included in study. The mean age and serum PSA for these 10 patients were 65years (range 54-78) and 21.9ng/mL (range 4.84-44.81), respectively. These patients were scanned using a DW spin-echo sequence with echo-planar readout with 16 equidistantly spaced b-values in the range of 0-2000s/mm2 (TE=58ms; TR=3990ms; spatial resolution 2.19×2.19×2.73mm3, slices =26, FOV=140×140mm, slice gap =0.27mm, NSA=2). RESULTS The proposed framework detected 24 lesions of which 14 were true positive with 58% tumor detection rate on lesion-based analysis with sensitivity of 100%. The mpMRI evaluation (PIRADSv2) identified 12 of 14 true positive lesions with sensitivity of 86%; positive predictive value of mpMRI was 92%. The index lesions were visible on all framework maps and were coded as the most suspicious in 9 of 10 patients. CONCLUSION Preliminary results of the proposed framework indicate high patient-based sensitivity with 100% detection rate for identifying moderate-high risk aggressive index lesions.
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Verma S, Sarkar S, Young J, Venkataraman R, Yang X, Bhavsar A, Patil N, Donovan J, Gaitonde K. Evaluation of the impact of computed high b-value diffusion-weighted imaging on prostate cancer detection. Abdom Radiol (NY) 2016; 41:934-45. [PMID: 27193792 DOI: 10.1007/s00261-015-0619-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
PURPOSE The purpose of this study was to compare high b-value (b = 2000 s/mm(2)) acquired diffusion-weighted imaging (aDWI) with computed DWI (cDWI) obtained using four diffusion models-mono-exponential (ME), intra-voxel incoherent motion (IVIM), stretched exponential (SE), and diffusional kurtosis (DK)-with respect to lesion visibility, conspicuity, contrast, and ability to predict significant prostate cancer (PCa). METHODS Ninety four patients underwent 3 T MRI including acquisition of b = 2000 s/mm(2) aDWI and low b-value DWI. High b = 2000 s/mm(2) cDWI was obtained using ME, IVIM, SE, and DK models. All images were scored on quality independently by three radiologists. Lesions were identified on all images and graded for lesion conspicuity. For a subset of lesions for which pathological truth was established, lesion-to-background contrast ratios (LBCRs) were computed and binomial generalized linear mixed model analysis was conducted to compare clinically significant PCa predictive capabilities of all DWI. RESULTS For all readers and all models, cDWI demonstrated higher ratings for image quality and lesion conspicuity than aDWI except DK (p < 0.001). The LBCRs of ME, IVIM, and SE were significantly higher than LBCR of aDWI (p < 0.001). Receiver Operating Characteristic curves obtained from binomial generalized linear mixed model analysis demonstrated higher Area Under the Curves for ME, SE, IVIM, and aDWI compared to DK or PSAD alone in predicting significant PCa. CONCLUSION High b-value cDWI using ME, IVIM, and SE diffusion models provide better image quality, lesion conspicuity, and increased LBCR than high b-value aDWI. Using cDWI can potentially provide comparable sensitivity and specificity for detecting significant PCa as high b-value aDWI without increased scan times and image degradation artifacts.
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Affiliation(s)
- Sadhna Verma
- Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA.
| | - Saradwata Sarkar
- Research & Development Division, 13366 Grass Valley Avenue Suite A, Grass Valley, CA, 95945, USA
| | - Jason Young
- Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA
| | - Rajesh Venkataraman
- Research & Development Division, 13366 Grass Valley Avenue Suite A, Grass Valley, CA, 95945, USA
| | - Xu Yang
- Research & Development Division, 13366 Grass Valley Avenue Suite A, Grass Valley, CA, 95945, USA
| | - Anil Bhavsar
- Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA
| | - Nilesh Patil
- Department of Urology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA
| | - James Donovan
- Department of Urology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA
| | - Krishnanath Gaitonde
- Department of Urology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA
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Oppenheimer DC, Weinberg EP, Hollenberg GM, Meyers SP. Multiparametric Magnetic Resonance Imaging of Recurrent Prostate Cancer. J Clin Imaging Sci 2016; 6:18. [PMID: 27195184 PMCID: PMC4863405 DOI: 10.4103/2156-7514.181494] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 04/14/2016] [Indexed: 11/30/2022] Open
Abstract
Multiparametric magnetic resonance (MR) imaging of the prostate combines both morphological and functional MR techniques by utilizing small field of view T1-weighted, T2-weighted, diffusion-weighted imaging, dynamic contrast-enhanced imaging, and MR spectroscopy to accurately detect, localize, and stage primary and recurrent prostate cancer. Localizing the site of recurrence in patients with rising prostate-specific antigen following treatment affects decision making regarding treatment and can be accomplished with multiparametric prostate MR. Several different treatment options are available for prostate cancer including radical prostatectomy, external beam radiation therapy, brachytherapy, androgen deprivation therapy, or a number of focal therapy techniques. The findings of recurrent prostate cancer can be different depending on the treatment the patient has received, and the radiologist must be able to recognize the variety of imaging findings seen with this common disease. This review article will detail the findings of recurrent prostate cancer on multiparametric MR and describe common posttreatment changes which may create challenges to accurate interpretation.
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Affiliation(s)
| | - Eric P Weinberg
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Gary M Hollenberg
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Steven P Meyers
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA
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Sarkar S, Das S. A Review of Imaging Methods for Prostate Cancer Detection. Biomed Eng Comput Biol 2016; 7:1-15. [PMID: 26966397 PMCID: PMC4777886 DOI: 10.4137/becb.s34255] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 01/07/2016] [Accepted: 01/11/2016] [Indexed: 12/21/2022] Open
Abstract
Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities-multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI-US fusion imaging, and positron emission tomography (PET) imaging-used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis-a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared.
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Affiliation(s)
| | - Sudipta Das
- Department of Medicine, University of California, San Diego, CA, USA
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24
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Review of Commonly Used Serum Tumor Markers and Their Relevance for Image Interpretation. J Comput Assist Tomogr 2016; 39:825-34. [PMID: 26248153 DOI: 10.1097/rct.0000000000000297] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Serum tumor markers are firmly entrenched as one of the primary tools in an oncologist's armamentarium. They can be implemented in a broad range of applications from diagnostic assistance, assessing prognosis, or guiding therapeutic decisions. However, tumor markers also have limitations, which significantly impact how they should be used. Radiologists should be familiar with the following most prevalent tumor markers, which will all be discussed here: prostate-specific antigen (prostate), carcinoembryonic antigen (colon), α-fetoprotein (hepatocellular and testicular), carbohydrate antigen 19.9 (pancreas), cancer antigen 125 (ovarian), human chorionic gonadotropin/lactic dehydrogenase (testicular), and chromogranin A (neuroendocrine). This knowledge should avoid needless intervention, enhance image interpretation, and ultimately provide optimal patient care.
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25
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Value of functional MRI in evaluation of patients with suspected prostate cancer. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2015. [DOI: 10.1016/j.ejrnm.2015.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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Liu X, Verma S. Common technical and anatomical pitfalls in the evaluation of multiparametric prostate magnetic resonance imaging. Semin Roentgenol 2015; 50:294-304. [PMID: 26542430 DOI: 10.1053/j.ro.2015.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Xiaozhou Liu
- University of Cincinnati College of Medicine, Cincinnati, OH; University of Cincinnati Medical Center, Cincinnati, OH
| | - Sadhna Verma
- Department of Radiology, Section of Abdominal Imaging, University of Cincinnati Medical Center, Cincinnati OH.
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Hedgire SS, Eberhardt SC, Borczuk R, McDermott S, Harisinghani MG. Interpretation and reporting multiparametric prostate MRI: a primer for residents and novices. ACTA ACUST UNITED AC 2015; 39:1036-51. [PMID: 24566965 DOI: 10.1007/s00261-014-0097-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Multiparametric MRI has developed as a tool for prostate cancer lesion detection, characterization, staging, surveillance, and imaging of local recurrence. Given the disease frequency and the growing importance of imaging, as reliance on PSA declines, radiologists involved in prostate MRI imaging must become proficient with the fundamentals of multiparametric prostate MRI (T2WI, DWI, DCE-MRI, and MR spectroscopy). Interpretation and reporting must yield accuracy, consistency, and add value to clinical care. This review provides a primer to novices and trainees learning about multiparametric prostate MRI. MRI technique is presented along with the use of particular MRI sequences. Relevant prostate anatomy is outlined and imaging features of prostate cancer with staging are discussed. Finally structured reporting is introduced, and some limitations of prostate MRI are discussed.
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Affiliation(s)
- Sandeep S Hedgire
- Department of Abdominal Imaging and Intervention, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA,
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Mata C, Walker PM, Oliver A, Brunotte F, Martí J, Lalande A. ProstateAnalyzer: Web-based medical application for the management of prostate cancer using multiparametric MR imaging. Inform Health Soc Care 2015; 41:286-306. [PMID: 25710606 DOI: 10.3109/17538157.2015.1008488] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVES In this paper, we present ProstateAnalyzer, a new web-based medical tool for prostate cancer diagnosis. ProstateAnalyzer allows the visualization and analysis of magnetic resonance images (MRI) in a single framework. METHODS ProstateAnalyzer recovers the data from a PACS server and displays all the associated MRI images in the same framework, usually consisting of 3D T2-weighted imaging for anatomy, dynamic contrast-enhanced MRI for perfusion, diffusion-weighted imaging in the form of an apparent diffusion coefficient (ADC) map and MR Spectroscopy. ProstateAnalyzer allows annotating regions of interest in a sequence and propagates them to the others. RESULTS From a representative case, the results using the four visualization platforms are fully detailed, showing the interaction among them. The tool has been implemented as a Java-based applet application to facilitate the portability of the tool to the different computer architectures and software and allowing the possibility to work remotely via the web. CONCLUSION ProstateAnalyzer enables experts to manage prostate cancer patient data set more efficiently. The tool allows delineating annotations by experts and displays all the required information for use in diagnosis. According to the current European Society of Urogenital Radiology guidelines, it also includes the PI-RADS structured reporting scheme.
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Affiliation(s)
- Christian Mata
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain .,b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France
| | - Paul M Walker
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
| | - Arnau Oliver
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain
| | - François Brunotte
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
| | - Joan Martí
- a Department of Computer Architecture and Technology , University of Girona , Girona , Spain
| | - Alain Lalande
- b Laboratoire Electronique Informatique et Image (Le2I) , Université de Bourgogne , Dijon , France .,c Department of NMR Spectroscopy , University Hospital , Dijon , France
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Multiparametric magnetic resonance imaging of the prostate aids detect lesion progression. J Comput Assist Tomogr 2014; 38:565-7. [PMID: 24733004 DOI: 10.1097/rct.0000000000000069] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Multiparametric magnetic resonance imaging (MRI) provides an accurate anatomical assessment of the tumor and its local staging. Herein, we report a case of intermediate-risk prostatic adenocarcinoma, initially followed on active surveillance, which upgraded from Gleason 7 (3 + 4) to Gleason 8 (4 + 4) on transrectal ultrasound/MRI fusion biopsy after progression of MR spectroscopic findings and review of the role of multiparametric MRI in the follow-up of patients with prostate cancer undergoing active surveillance.
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Johnson LM, Turkbey B, Figg WD, Choyke PL. Multiparametric MRI in prostate cancer management. Nat Rev Clin Oncol 2014; 11:346-53. [PMID: 24840072 DOI: 10.1038/nrclinonc.2014.69] [Citation(s) in RCA: 110] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Prostate cancer is the second most common cancer in men worldwide. The clinical behaviour of prostate cancer ranges from low-grade indolent tumours that never develop into clinically significant disease to aggressive, invasive tumours that may progress rapidly to metastatic disease and death. Therefore, there is an urgent clinical need to detect high-grade cancers and to differentiate them from the indolent, slow-growing tumours. Conventional methods of cancer detection-such as levels of prostate-specific antigen (PSA) in serum, digital rectal examination, and random biopsies-are limited in their sensitivity, specificity, or both. The combination of conventional anatomical MRI and functional magnet resonance sequences-known as multiparametric MRI (mp-MRI)-is emerging as an accurate tool for identifying clinically relevant tumours owing to its ability to localize them. In this Review, we discuss the value of mp-MRI in localized and metastatic prostate cancer, highlighting its role in the detection, staging, and treatment planning of prostate cancer.
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Affiliation(s)
- Linda M Johnson
- Molecular Pharmacology Section, Medical Oncology Branch, National Cancer Institute, 10 Center Drive, MSC 1182 Building 10, Bethesda, MD 20892-1088, USA
| | - Baris Turkbey
- Molecular Imaging Program, National Cancer Institute, 10 Center Drive, MSC 1182 Building 10, Bethesda, MD 20892-1088, USA
| | - William D Figg
- Clinical Pharmacology Program, Center for Cancer Research, National Cancer Institute, 10 Center Drive, MSC 1182 Building 10, Bethesda, MD 20892-1088, USA
| | - Peter L Choyke
- Molecular Imaging Program, National Cancer Institute, 10 Center Drive, MSC 1182 Building 10, Bethesda, MD 20892-1088, USA
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Schild MH, Schild SE, Wong WW, Vora SA, Silva AC, Silva AM, Daniels TB, Keole SR. Early Outcome of Prostate Intensity Modulated Radiation Therapy (IMRT) Incorporating a Simultaneous Intra-Prostatic MRI Directed Boost. ACTA ACUST UNITED AC 2014; 3. [PMID: 25717423 DOI: 10.4172/2167-7964.1000170] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This study assessed the feasibility and outcomes of treating prostate cancer with intensity modulated radiotherapy (IMRT) incorporating a Magnetic Resonance Imaging (MRI) directed boost. Seventy-eight men received IMRT for localized prostate cancer. The entire prostate received 77.4Gy in 43 fractions and simultaneous intra-prostatic boosts (SIB) of 83Gy were administered to increase the dose to the MRI identified malignancy. In 16 (21%) patients, the MRI didn't detect a neoplasm and these patients received an SIB of 81Gy to the posterior prostate. Androgen Deprivation Therapy (ADT) was also administered to 32 (41%) patients. The 3-year rates of biochemical control, local control, distant control, and survival were 92%, 98%, 95%, and 95% respectively. While grade 1-2 toxicities were common, there were only 2 patients who suffered grade 3 toxicity. These patients developed strictures which were dilated resulting in improvement in symptoms such that both had grade 1-2 toxicity at last follow up examination. The results of this program of IMRT incorporating a MRI directed intra-prostatic boost suggest this technique is feasible and well tolerated. This technique appears to shift the therapeutic index favorably by boosting the malignancy to the highest dose without increasing the doses administered to the bladder and rectum.
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Affiliation(s)
- Michael H Schild
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Steven E Schild
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - William W Wong
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Sujay A Vora
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Alvin C Silva
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Annelise M Silva
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Thomas B Daniels
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
| | - Sameer R Keole
- Department of Radiation Oncology, Mayo Clinic Arizona, Scottsdale 85259, USA
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Schieda N, Malone SC, Al Dandan O, Ramchandani P, Siegelman ES. Multi-modality organ-based approach to expected imaging findings, complications and recurrent tumour in the genitourinary tract after radiotherapy. Insights Imaging 2013; 5:25-40. [PMID: 24277341 PMCID: PMC3948910 DOI: 10.1007/s13244-013-0295-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2013] [Revised: 09/07/2013] [Accepted: 10/11/2013] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Radiotherapy (RT) is an integral component in the management of many abdominal and pelvic malignancies. Imaging follow-up in patients who have received RT is performed to assess for treatment response, evaluate for tumour recurrence and to diagnose complications related to treatment. The purpose of this pictorial review is to depict the expected imaging findings and potential complications following RT in the genitourinary (GU) tract using an organ-based approach and to review the diagnosis of locally recurrent tumour in the GU tract following RT. CONCLUSIONS Some GU malignancies, namely cervical and prostatic carcinoma, can be treated with radical RT with intent to cure. More frequently, the GU tract is indirectly treated as a result of RT to adjacent cancers. Expected imaging findings, RT-related complications and the diagnosis of recurrent tumour following RT in the GU tract often necessitate a multi-modality imaging approach, the incorporation of functional imaging techniques and an organ-based approach for diagnosis.
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Affiliation(s)
- Nicola Schieda
- Department of Medical Imaging C1, The Ottawa Hospital, The University of Ottawa, 1053 Carling Avenue, Ottawa, Ontario, Canada, K1Y 4E9,
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Esen M, Onur MR, Akpolat N, Orhan I, Kocakoc E. Utility of ADC measurement on diffusion-weighted MRI in differentiation of prostate cancer, normal prostate and prostatitis. Quant Imaging Med Surg 2013; 3:210-6. [PMID: 24040617 DOI: 10.3978/j.issn.2223-4292.2013.08.06] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Accepted: 08/27/2013] [Indexed: 01/01/2023]
Abstract
To determine the utility of apparent diffusion coefficient (ADC) values in differentiation of prostate cancer from normal prostate parenchyma and prostatitis we obtained ADC values of 50 patients at b 100, 600 and 1,000 s/mm(2) diffusion gradients. The ADC values of prostate cancer group were significantly lower than normal prostate and prostatitis group at b 600 and 1,000 s/mm(2) gradients. The ADC values at high diffusion gradients may be used in differentiation prostate cancer from normal prostate and prostatitis.
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Affiliation(s)
- Meltem Esen
- Department of Radiology, Inegol Government Hospital, Bursa, Turkey
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Eberhardt SC, Carter S, Casalino DD, Merrick G, Frank SJ, Gottschalk AR, Leyendecker JR, Nguyen PL, Oto A, Porter C, Remer EM, Rosenthal SA. ACR Appropriateness Criteria prostate cancer--pretreatment detection, staging, and surveillance. J Am Coll Radiol 2013; 10:83-92. [PMID: 23374687 DOI: 10.1016/j.jacr.2012.10.021] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2012] [Accepted: 10/31/2012] [Indexed: 01/01/2023]
Abstract
Prostate cancer is the most common noncutaneous male malignancy in the United States. The use of serum prostate-specific antigen as a screening tool is complicated by a significant fraction of nonlethal cancers diagnosed by biopsy. Ultrasound is used predominately as a biopsy guidance tool. Combined rectal examination, prostate-specific antigen testing, and histology from ultrasound-guided biopsy provide risk stratification for locally advanced and metastatic disease. Imaging in low-risk patients is unlikely to guide management for patients electing up-front treatment. MRI, CT, and bone scans are appropriate in intermediate-risk to high-risk patients to better assess the extent of disease, guide therapy decisions, and predict outcomes. MRI (particularly with an endorectal coil and multiparametric functional imaging) provides the best imaging for cancer detection and staging. There may be a role for prostate MRI in the context of active surveillance for low-risk patients and in cancer detection for undiagnosed clinically suspected cancer after negative biopsy results. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed every 2 years by a multidisciplinary expert panel. The guideline development and review include an extensive analysis of current medical literature from peer-reviewed journals and the application of a well-established consensus methodology (modified Delphi) to rate the appropriateness of imaging and treatment procedures by the panel. In those instances in which evidence is lacking or not definitive, expert opinion may be used to recommend imaging or treatment.
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Hedgire SS, Oei TN, McDermott S, Cao K, Patel M Z, Harisinghani MG. Multiparametric magnetic resonance imaging of prostate cancer. Indian J Radiol Imaging 2013; 22:160-9. [PMID: 23599562 PMCID: PMC3624737 DOI: 10.4103/0971-3026.107176] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
In India, prostate cancer has an incidence rate of 3.9 per 100,000 men and is responsible for 9% of cancer-related mortality. It is the only malignancy that is diagnosed with an apparently blind technique, i.e., transrectal sextant biopsy. With increasing numbers of high-Tesla magnetic resonance imaging (MRI) equipment being installed in India, the radiologist needs to be cognizant about endorectal MRI and multiparametric imaging for prostate cancer. In this review article, we aim to highlight the utility of multiparamteric MRI in prostate cancer. It plays a crucial role, mainly in initial staging, restaging, and post-treatment follow-up.
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Affiliation(s)
- Sandeep S Hedgire
- Department of Abdominal Imaging and Intervention, Massachusetts General Hospital 55 Fruit St, Boston, 02114 Massachusetts, USA
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Li B, Du Y, Yang H, Huang Y, Meng J, Xiao D. Magnetic resonance imaging for prostate cancer clinical application. Chin J Cancer Res 2013; 25:240-9. [PMID: 23592906 DOI: 10.3978/j.issn.1000-9604.2013.03.06] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2012] [Accepted: 12/14/2012] [Indexed: 01/16/2023] Open
Abstract
As prostate cancer is a biologically heterogeneous disease for which a variety of treatment options are available, the major objective of prostate cancer imaging is to achieve more precise disease characterization. In clinical practice, magnetic resonance imaging (MRI) is one of the imaging tools for the evaluation of prostate cancer, the fusion of MRI or dynamic contrast-enhanced MRI (DCE-MRI) with magnetic resonance spectroscopic imaging (MRSI) is improving the evaluation of cancer location, size, and extent, while providing an indication of tumor aggressiveness. This review summarizes the role of MRI in the application of prostate cancer and describes molecular MRI techniques (including MRSI and DCE-MRI) for aiding prostate cancer management.
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Affiliation(s)
- Bing Li
- Sichuan Key Laboratory of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China ; Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
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Pace L, Nicolai E, Aiello M, Catalano OA, Salvatore M. Whole-body PET/MRI in oncology: current status and clinical applications. Clin Transl Imaging 2013. [DOI: 10.1007/s40336-013-0012-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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38
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Prostate cancer: multiparametric MRI for index lesion localization--a multiple-reader study. AJR Am J Roentgenol 2012; 199:830-7. [PMID: 22997375 DOI: 10.2214/ajr.11.8446] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The purpose of this study was to evaluate the utility of multiparametric MRI in localization of the index lesion of prostate cancer. MATERIALS AND METHODS Fifty-one patients who underwent 3-T MRI of the prostate with a pelvic phased-array coil that included T2-weighted, diffusion-weighted, and dynamic contrast-enhanced sequences before prostatectomy were included. Six radiologists assessed all images to identify the lesion most suspicious of being the index lesion, which was localized to one of 18 regions. A uropathologist using the same 18-region scheme reviewed the prostatectomy slides to localize the index lesion. MRI performance was assessed by requiring either an exact match or an approximate match (discrepancy of up to one region) between the MRI and pathologic findings in terms of assigned region. RESULTS The pathologist identified an index lesion in 49 of 51 patients. In exact-match analysis, the average sensitivity was 60.2% (range, 51.0-63.3%), and the average positive predictive value (PPV) was 65.3% (range, 61.2-69.4%). In approximate-match analysis, the average sensitivity was 75.9% (range, 65.3-69.6%), and the average PPV was 82.6% (range, 79.2-91.4%). The sensitivity was higher for index lesions with a Gleason score greater than 6 in exact-match (74.8% vs 15.3%, p<0.001) and approximate-match (88.7% vs 36.1%, p=<0.001) analyses and for index lesions measuring at least 1 cm in approximate-match analysis (80.3% vs 58.3%, p=0.016). In exact-match analysis, 30.0%, 44.9%, and 79.1% of abnormalities found with one, two, and three MRI parameters represented the index lesion (p<0.001). CONCLUSION The sensitivity and PPV of multiparametric MRI for index lesion localization were moderate, although they improved in the setting of more aggressive pathologic features and a greater number of abnormal MRI parameters, respectively.
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Routine pelvic MRI using phased-array coil for detection of extraprostatic tumour extension: accuracy and clinical significance. Eur Radiol 2012; 23:1158-66. [PMID: 23114883 PMCID: PMC3599204 DOI: 10.1007/s00330-012-2669-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Revised: 08/20/2012] [Accepted: 09/04/2012] [Indexed: 11/21/2022]
Abstract
Objectives To determine the accuracy and assess the clinical significance of surface-coil 1.5-T magnetic resonance imaging (MRI) for the detection of locally advanced prostate cancer (PCa). Methods Between December 2007 and January 2010, we examined 209 PCa patients (mean age = 62.5 years) who were consecutively treated with robot-assisted laparoscopic prostatectomy and prospectively staged by MRI. One hundred and thirty-five patients (64.6 %) had locally advanced disease. Conventional clinical tumour stage and MRI-assessed tumour stage were compared with histopathological tumour stage (pT). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and overall accuracy (OA) were calculated using pT as the “gold standard”. Overstaged and understaged cases at MRI were reviewed. Results Sensitivity, specificity, PPV, NPV and OA for the detection of locally advanced disease were 25.9, 95.9, 92.1, 41.2 and 50.5 % and 56.3, 82.2, 85.4, 50.4 and 65.4 % for clinical staging and MRI, respectively. Among patients understaged at MRI, the resection margins were free in 64.4 % of the cases (38/59). Conclusions Although the accuracy was limited, the detection of locally advanced disease improved substantially when MRI was added to routine clinical staging. The majority of the understaged patients nevertheless achieved free margins. When assessing the clinical significance of MRI staging the extent of extraprostatic extension has to be considered. Key Points • MRI substantially improves detection of locally advanced prostate cancer • MRI has limited overall staging accuracy • Most T3 cancers unrecognised at MRI still achieved free resection margins • Assessing the true clinical contribution of MRI remains challenging
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Mouraviev V, Venkatraman TN, Tovmasyan A, Kimura M, Tsivian M, Mouravieva V, Polascik TJ, Wang H, Amrhein TJ, Batinic-Haberle I, Lascola C. Mn porphyrins as novel molecular magnetic resonance imaging contrast agents. J Endourol 2012; 26:1420-4. [PMID: 22783812 DOI: 10.1089/end.2012.0171] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND AND PURPOSE In this study, we investigated the potential of a new class of therapeutic Mn porphyrins as molecular MRI probes for prostate cancer imaging. Two compounds of different bioavailibility were investigated: Mn(III) meso-tetrakis(N-ethylpyridinium-2-yl)porphyrin (MnTE-2-PyP(5+)) and Mn(III) meso-tetrakis(N-n-hexylpyridinium-2-yl)porphyrin (MnTnHex-2-PyP(5+)). These compounds have previously been shown to have adjunctive antineoplastic activity through their actions as powerful superoxide dismutase mimics, peroxynitrite scavengers, and modulators of cellular redox-based signaling pathways. Strong paramagnetic MRI contrast properties and affinity for cancer cells suggest their potential application as novel diagnostic imaging agents. MATERIALS AND METHODS MRI experiments were performed at 7.0T on a Bruker Biospec horizontal bore scanner. All in-vivo experiments were performed on 12 C57 black mice implanted with RM-9 prostate cancer cells on the hind limb. Two mg/kg of MnTnHex-2-PyP(5+) (n=6) and 8 mg/kg MnTE-2-PyP(5+) (n=6) were administered intraperitoneally 90 minutes before imaging. All the images were collected using a volume coil and processed using Paravision 4.0. RESULTS Phantom studies reveal remarkably high T1 relaxivity changes for both metalloporphyrins, which are twofold to threefold higher than commercially available gadolinium chelates. Observable detection limits using conventional T1-weighted MRI are in the low micromolar range for both compounds. In vivo, MR relaxation changes in prostate tumor xenografts were readily observed after a single injection of either MnTE-2-PyP(5+)or MnTnHex-2-PyP(5+), with tumor contrast to background ratio greatest after MnTE-2-PyP(5+) administration. CONCLUSION After a single dose of MnTE-2-PyP(5+), contrast changes in prostate tumors are up to sixfold greater than in surrounding, noncancerous tissues, suggesting the potential use of this metalloporphyrin as a novel diagnostic probe for detecting prostate malignancy using MRI.
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Affiliation(s)
- Vladimir Mouraviev
- Department of Urology/Surgery, Duke University Medical Center, Durham, North Carolina 27710, USA
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Buckle T, Brouwer OR, Valdés Olmos RA, van der Poel HG, van Leeuwen FW. Relationship Between Intraprostatic Tracer Deposits and Sentinel Lymph Node Mapping in Prostate Cancer Patients. J Nucl Med 2012; 53:1026-33. [DOI: 10.2967/jnumed.111.098517] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Evaluation of primary prostate cancer using 11C-methionine-PET/CT and 18F-FDG-PET/CT. Ann Nucl Med 2011; 26:138-45. [PMID: 22069194 DOI: 10.1007/s12149-011-0551-6] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2011] [Accepted: 10/10/2011] [Indexed: 10/15/2022]
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Mouraviev V, Venkatraman TN, Tovmasyan A, Kimura M, Tsivian M, Mouravieva V, Polascik TJ, Wang H, Amrhein TJ, Batinic-Haberle I, Lascola C. Mn-porphyrins as novel molecular magnetic resonance imaging contrast agents. J Endourol 2011:1420-4. [PMID: 22050509 DOI: 10.1089/end.2011.0133] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND PURPOSE In this study, we investigated the potential of a new class of therapeutic Mn porphyrins as molecular MRI probes for prostate cancer imaging. Two compounds of different bioavailibility were investigated: Mn(III) meso-tetrakis(N-ethylpyridinium-2-yl)porphyrin (MnTE-2-PyP(5 +)) and Mn(III) mesotetrakis(N-n-hexylpyridinium-2-yl)porphyrin (MnTnHex-2-PyP(5 +)). These compounds have previously been shown to have adjunctive antineoplastic activity through their actions as powerful superoxide dismutase mimics, peroxynitrite scavengers, and modulators of cellular redox-based signaling pathways. Strong paramagnetic MRI contrast properties and affinity for cancer cells suggest their potential application as novel diagnostic imaging agents. MATERIALS AND METHODS MRI experiments were performed at 7.0T on a Bruker Biospec horizontal bore scanner. All in-vivo experiments were performed on 12 C57 black mice implanted with RM-9 prostate cancer cells on the hind limb. Two mg/kg of MnTnHex-2-PyP(5 +) (n = 6) and 8 mg/kg MnTE-2-PyP(5 +) (n = 6) were administered intraperitoneally 90 minutes before imaging. All the images were collected using a volume coil and processed using Paravision 4.0. RESULTS Phantom studies reveal remarkably high T1 relaxivity changes for both metalloporphyrins, which are twofold to threefold higher than commercially available gadolinium chelates. Observable detection limits using conventional T1-weighted MRI are in the low micromolar range for both compounds. In vivo, MR relaxation changes in prostate tumor xenografts were readily observed after a single injection of either MnTE-2-PyP(5 +) or MnTnHex-2-PyP(5 +), with tumor contrast to background ratio greatest after MnTE-2-PyP(5 +) administration. CONCLUSION After a single dose of MnTE-2-PyP(5 +), contrast changes in prostate tumors are up to sixfold greater than in surrounding, noncancerous tissues, suggesting the potential use of this metalloporphyrin as a novel diagnostic probe for detecting prostate malignancy using MRI.
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Affiliation(s)
- Vladimir Mouraviev
- Department of Urology/Surgery, Duke University Medical Center, Durham, North Carolina 27710, USA
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A Clinically Relevant Approach to Imaging Prostate Cancer:Self-Assessment Module. AJR Am J Roentgenol 2011; 196:S11-4. [DOI: 10.2214/ajr.10.7295] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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