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Du Y, Wang T, Qu L, Li H, Guo Q, Wang H, Liu X, Wu X, Song Z. Preoperative Molecular Subtype Classification Prediction of Ovarian Cancer Based on Multi-Parametric Magnetic Resonance Imaging Multi-Sequence Feature Fusion Network. Bioengineering (Basel) 2024; 11:472. [PMID: 38790338 PMCID: PMC11117786 DOI: 10.3390/bioengineering11050472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/22/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024] Open
Abstract
In the study of the deep learning classification of medical images, deep learning models are applied to analyze images, aiming to achieve the goals of assisting diagnosis and preoperative assessment. Currently, most research classifies and predicts normal and cancer cells by inputting single-parameter images into trained models. However, for ovarian cancer (OC), identifying its different subtypes is crucial for predicting disease prognosis. In particular, the need to distinguish high-grade serous carcinoma from clear cell carcinoma preoperatively through non-invasive means has not been fully addressed. This study proposes a deep learning (DL) method based on the fusion of multi-parametric magnetic resonance imaging (mpMRI) data, aimed at improving the accuracy of preoperative ovarian cancer subtype classification. By constructing a new deep learning network architecture that integrates various sequence features, this architecture achieves the high-precision prediction of the typing of high-grade serous carcinoma and clear cell carcinoma, achieving an AUC of 91.62% and an AP of 95.13% in the classification of ovarian cancer subtypes.
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Affiliation(s)
- Yijiang Du
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; (Y.D.)
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China
| | - Tingting Wang
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Linhao Qu
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; (Y.D.)
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China
| | - Haiming Li
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Qinhao Guo
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Haoran Wang
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; (Y.D.)
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China
| | - Xinyuan Liu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xiaohua Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Zhijian Song
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China; (Y.D.)
- Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai 200032, China
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Stamatelatou A, Scheenen TWJ, Heerschap A. Developments in proton MR spectroscopic imaging of prostate cancer. MAGMA (NEW YORK, N.Y.) 2022; 35:645-665. [PMID: 35445307 PMCID: PMC9363347 DOI: 10.1007/s10334-022-01011-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/04/2022] [Accepted: 03/22/2022] [Indexed: 10/25/2022]
Abstract
In this paper, we review the developments of 1H-MR spectroscopic imaging (MRSI) methods designed to investigate prostate cancer, covering key aspects such as specific hardware, dedicated pulse sequences for data acquisition and data processing and quantification techniques. Emphasis is given to recent advancements in MRSI methodologies, as well as future developments, which can lead to overcome difficulties associated with commonly employed MRSI approaches applied in clinical routine. This includes the replacement of standard PRESS sequences for volume selection, which we identified as inadequate for clinical applications, by sLASER sequences and implementation of 1H MRSI without water signal suppression. These may enable a new evaluation of the complementary role and significance of MRSI in prostate cancer management.
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Affiliation(s)
- Angeliki Stamatelatou
- Department of Medical Imaging (766), Radboud University Medical Center Nijmegen, Geert Grooteplein 10, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - Tom W J Scheenen
- Department of Medical Imaging (766), Radboud University Medical Center Nijmegen, Geert Grooteplein 10, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Arend Heerschap
- Department of Medical Imaging (766), Radboud University Medical Center Nijmegen, Geert Grooteplein 10, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
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Deal M, Bardet F, Walker PM, de la Vega MF, Cochet A, Cormier L, Bentellis I, Loffroy R. Three-dimensional nuclear magnetic resonance spectroscopy: a complementary tool to multiparametric magnetic resonance imaging in the identification of aggressive prostate cancer at 3.0T. Quant Imaging Med Surg 2021; 11:3749-3766. [PMID: 34341747 DOI: 10.21037/qims-21-331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022]
Abstract
Background The limitations of the assessment of tumor aggressiveness by Prostate Imaging Reporting and Data System (PI-RADS) and biopsies suggest that the diagnostic algorithm could be improved by quantitative measurements in some chosen indications. We assessed the tumor high-risk predictive performance of 3.0 Tesla (3.0T) multiparametric magnetic resonance imaging (mp-MRI) combined with nuclear magnetic resonance spectroscopic sequences (NMR-S) in order to show that the metabolic analysis could bring out an evocative result for the aggressive form of prostate cancer. Methods We conducted a retrospective study of 26 patients (mean age, 62.4 years) who had surgery for prostate cancer between 2009 and 2016 after pre-therapeutic assessment with 3.0T mp-MRI and NMR-S. Groups within the intermediate range of the D'Amico risk classification were divided into two categories, low risk (n=20) and high risk (n=6), according to the International Society of Urological Pathology (ISUP) 2-3 limit. Histoprognostic discordances within various risk groups were compared with the corresponding predictive MRI values. The performance of predictive models was assessed based on sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results After prostatectomy, histological analysis reclassified 18 patients as high-risk, including 16 who were T3 MRI grade, of whom 13 (81.3%) were found to be pT3. Among the patients who had cT1 or cT2 digital rectal examinations, the T3 MRI factor multiplied by 8.7 [odds ratio (OR), 8.7; 95% confidence interval (CI), 1.3-56.2; P=0.024] the relative risk of being pT3 and by 5.8 (OR, 5.8; 95% CI, 0.95-35.7; P=0.05) the relative risk of being pGleason (pGS) > GS-prostate biopsy. Spectroscopic data showed that the choline concentration was significantly higher (P=0.001) in aggressive disease. Conclusions The predictive model of tumor aggressiveness combining mp-MRI plus NMR-S was better than the mp-MRI model alone (AUC, 0.95 vs. 0.86). Information obtained by mp-MRI coupled with spectroscopy may improve the detection of occult aggressive disease, helping in the discrimination of intermediate risks.
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Affiliation(s)
- Michael Deal
- Department of Urology and Andrology, Arnault Tzanck Private Institute, Mougins Sophia-Antipolis, Mougins Cedex, France.,Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Florian Bardet
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Paul-Michael Walker
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | | | - Alexandre Cochet
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | - Luc Cormier
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Imad Bentellis
- Department of Urology and Andrology, Sophia Antipolis University Hospital, Nice, France
| | - Romaric Loffroy
- ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France.,Department of Radiology and Medical Imaging, François-Mitterrand University Hospital, Dijon, France
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Stabile A, Giganti F, Rosenkrantz AB, Taneja SS, Villeirs G, Gill IS, Allen C, Emberton M, Moore CM, Kasivisvanathan V. Multiparametric MRI for prostate cancer diagnosis: current status and future directions. Nat Rev Urol 2020; 17:41-61. [PMID: 31316185 DOI: 10.1038/s41585-019-0212-4] [Citation(s) in RCA: 194] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2019] [Indexed: 12/31/2022]
Abstract
The current diagnostic pathway for prostate cancer has resulted in overdiagnosis and consequent overtreatment as well as underdiagnosis and missed diagnoses in many men. Multiparametric MRI (mpMRI) of the prostate has been identified as a test that could mitigate these diagnostic errors. The performance of mpMRI can vary depending on the population being studied, the execution of the MRI itself, the experience of the radiologist, whether additional biomarkers are considered and whether mpMRI-targeted biopsy is carried out alone or in addition to systematic biopsy. A number of challenges to implementation remain, such as ensuring high-quality execution and reporting of mpMRI and ensuring that this diagnostic pathway is cost-effective. Nevertheless, emerging clinical trial data support the adoption of this technology as part of the standard of care for the diagnosis of prostate cancer.
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Affiliation(s)
- Armando Stabile
- Division of Surgery and Interventional Science, University College London, London, UK.
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK.
- Department of Urology and Division of Experimental Oncology, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Francesco Giganti
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK
| | | | - Samir S Taneja
- Department of Radiology, NYU Langone Health, New York, NY, USA
- Department of Urology, NYU Langone Health, New York, NY, USA
| | - Geert Villeirs
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Inderbir S Gill
- USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Clare Allen
- Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Caroline M Moore
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Veeru Kasivisvanathan
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
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Abstract
BACKGROUND Multiparametric MRI (mpMRI) is currently the most accurate imaging modality for detection and local staging of prostate cancer (PCa). Disadvantages of this modality are high costs, time consumption and the need for a contrast medium. AIMS The aim of the work was to provide an overview of the current state of fast and contrast-free MRI imaging of the prostate. RESULTS Biparametric examination protocols and the use of three-dimensional T2-weighted sequences are readily available methods that can be used to shorten the examination time without sacrificing diagnostic accuracy.
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Effect of Combined 68Ga-PSMAHBED-CC Uptake Pattern and Multiparametric MRI Derived With Simultaneous PET/MRI in the Diagnosis of Primary Prostate Cancer: Initial Experience. AJR Am J Roentgenol 2018. [DOI: 10.2214/ajr.17.18881] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Furlan A, Borhani AA, Westphalen AC. Multiparametric MR imaging of the Prostate. Radiol Clin North Am 2018; 56:223-238. [DOI: 10.1016/j.rcl.2017.10.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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9
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Improving the Diagnosis of Clinically Significant Prostate Cancer with Magnetic Resonance Imaging. J Belg Soc Radiol 2018. [PMCID: PMC6095051 DOI: 10.5334/jbsr.1438] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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Polanec SH, Lazar M, Wengert GJ, Bickel H, Spick C, Susani M, Shariat S, Clauser P, Baltzer PAT. 3D T2-weighted imaging to shorten multiparametric prostate MRI protocols. Eur Radiol 2017; 28:1634-1641. [PMID: 29134351 PMCID: PMC5834556 DOI: 10.1007/s00330-017-5120-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 09/24/2017] [Accepted: 10/03/2017] [Indexed: 11/25/2022]
Abstract
Objectives To determine whether 3D acquisitions provide equivalent image quality, lesion delineation quality and PI-RADS v2 performance compared to 2D acquisitions in T2-weighted imaging of the prostate at 3 T. Methods This IRB-approved, prospective study included 150 consecutive patients (mean age 63.7 years, 35–84 years; mean PSA 7.2 ng/ml, 0.4–31.1 ng/ml). Two uroradiologists (R1, R2) independently rated image quality and lesion delineation quality using a five-point ordinal scale and assigned a PI-RADS score for 2D and 3D T2-weighted image data sets. Data were compared using visual grading characteristics (VGC) and receiver operating characteristics (ROC)/area under the curve (AUC) analysis. Results Image quality was similarly good to excellent for 2D T2w (mean score R1, 4.3 ± 0.81; R2, 4.7 ± 0.83) and 3D T2w (mean score R1, 4.3 ± 0.82; R2, 4.7 ± 0.69), p = 0.269. Lesion delineation was rated good to excellent for 2D (mean score R1, 4.16 ± 0.81; R2, 4.19 ± 0.92) and 3D T2w (R1, 4.19 ± 0.94; R2, 4.27 ± 0.94) without significant differences (p = 0.785). ROC analysis showed an equivalent performance for 2D (AUC 0.580–0.623) and 3D (AUC 0.576–0.629) T2w (p > 0.05, respectively). Conclusions Three-dimensional acquisitions demonstrated equivalent image and lesion delineation quality, and PI-RADS v2 performance, compared to 2D in T2-weighted imaging of the prostate. Three-dimensional T2-weighted imaging could be used to considerably shorten prostate MRI protocols in clinical practice. Key points • 3D shows equivalent image quality and lesion delineation compared to 2D T2w. • 3D T2w and 2D T2w image acquisition demonstrated comparable diagnostic performance. • Using a single 3D T2w acquisition may shorten the protocol by 40%. • Combined with short DCE, multiparametric protocols of 10 min are feasible.
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Affiliation(s)
- Stephan H Polanec
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Mathias Lazar
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Georg J Wengert
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Hubert Bickel
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Claudio Spick
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Martin Susani
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - Shahrokh Shariat
- Department of Urology, Medical University of Vienna (AKH), Waehringer-Guertel 18-20, A-1090, Vienna, Austria
| | - Paola Clauser
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria
| | - Pascal A T Baltzer
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, A-1090, Wien, Vienna, Austria.
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria.
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Kuess P, Andrzejewski P, Nilsson D, Georg P, Knoth J, Susani M, Trygg J, Helbich TH, Polanec SH, Georg D, Nyholm T. Association between pathology and texture features of multi parametric MRI of the prostate. ACTA ACUST UNITED AC 2017; 62:7833-7854. [DOI: 10.1088/1361-6560/aa884d] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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12
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Leapman MS, Wang ZJ, Behr SC, Kurhanewicz J, Zagoria RJ, Carroll PR, Westphalen AC. Impact of the integration of proton magnetic resonance imaging spectroscopy to PI-RADS 2 for prediction of high grade and high stage prostate cancer. Radiol Bras 2017; 50:299-307. [PMID: 29085163 PMCID: PMC5656070 DOI: 10.1590/0100-3984.2016.0117] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Objective To compare the predictions of dominant Gleason pattern ≥ 4 or
non-organ confined disease with Prostate Imaging Reporting and Data System
(PI-RADS v2) with or without proton magnetic resonance spectroscopic imaging
(1H-MRSI). Materials and Methods Thirty-nine men underwent 3-tesla endorectal multiparametric MRI including
1H-MRSI and prostatectomy. Two radiologists assigned PI-RADS
v2 and 1H-MRSI scores to index lesions. Statistical analyses used
logistic regressions, receiver operating characteristic (ROC) curves, and
2x2 tables for diagnostic accuracies. Results The sensitivity and specificity of 1H-MRSI and PI-RADS v2 for
high-grade prostate cancer (PCa) were 85.7% (57.1%) and 92.9% (100%), and
56% (68.0%) and 24.0% (24.0%). The sensitivity and specificity of
1H-MRSI and PI-RADS v2 for extra-prostatic extension (EPE)
were 64.0% (40%) and 20.0% (48%), and 50.0% (57.1%) and 71.4% (64.3%). The
area under the ROC curves (AUC) for prediction of high-grade prostate cancer
were 0.65 and 0.61 for PI-RADS v2 and 0.72 and 0.70 when combined with
1H-MRSI (readers 1 and 2, p = 0.04 and
0.21). For prediction of EPE the AUC were 0.54 and 0.60 for PI-RADS v2 and
0.55 and 0.61 when combined with 1H-MRSI (p >
0.05). Conclusion 1H-MRSI might improve the discrimination of high-grade prostate
cancer when combined to PI-RADS v2, particularly for PI-RADS v2 score 4
lesions, but it does not affect the prediction of EPE.
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Affiliation(s)
- Michael S Leapman
- MD, Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Zhen J Wang
- MD, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Spencer C Behr
- MD, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - John Kurhanewicz
- PhD, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Ronald J Zagoria
- MD, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Peter R Carroll
- MPH, MD, Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Antonio C Westphalen
- MD, PhD, Department of Radiology and Biomedical Imaging and Department of Urology, University of California San Francisco, San Francisco, CA, USA
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Polanec SH, Andrzejewski P, Baltzer PAT, Helbich TH, Stiglbauer A, Georg D, Karanikas G, Susani M, Wadsak W, Margreiter M, Mitterhauser M, Brader P, Pinker K. Multiparametric [11C]Acetate positron emission tomography-magnetic resonance imaging in the assessment and staging of prostate cancer. PLoS One 2017; 12:e0180790. [PMID: 28719629 PMCID: PMC5515396 DOI: 10.1371/journal.pone.0180790] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 06/21/2017] [Indexed: 02/06/2023] Open
Abstract
Background The aim of this study was to evaluate whether MP [11C]Acetate PET-MRI enables an accurate differentiation of benign and malignant prostate tumors as well as local and distant staging. Materials and methods Fifty-six consecutive patients fulfilling the following criteria were included in this IRB-approved prospective study: elevated PSA levels or suspicious findings at digital rectal examination or TRUS; and histopathological verification. All patients underwent MP [11C]Acetate PET-MRI of the prostate performed on separate scanners with PET/CT using [11C]Acetate and 3T MP MR imaging. Appropriate statistical tests were used to determine diagnostic accuracy, local and distant staging. Results MP imaging with two MRI parameters (T2w and DWI) achieved the highest sensitivity, specificity, and diagnostic accuracy of 95%, 68.8%, and 88%, with an AUC of 0.82 for primary PCa detection. Neither assessments with a single parameter (AUC, 0.54–0.79), nor different combinations with up to five parameters (AUC, 0.67–0.79) achieved equally good results. MP [11C]Acetate PET-MRI improved local staging with a sensitivity, specificity, and diagnostic accuracy of 100%, 96%, and 97% compared to MRI alone with 72.2%, 100%, and 95.5%. MP [11C]Acetate PET-MRI correctly detected osseous and liver metastases in five patients. Conclusions MP [11C]Acetate PET-MRI merges morphologic with functional information, and allows insights into tumor biology. MP [11C]Acetate PET-MRI with two MRI-derived parameters (T2 and DWI) yields the highest diagnostic accuracy. The addition of more parameters does not improve diagnostic accuracy of primary PCa detection. MP [11C]Acetate PET-MRI facilitates improved local and distant staging, providing “one-stop” staging in patients with primary PCa, and therefore has the potential to improve therapy. Patient summary In this report we investigated MP [11C]Acetate PET-MRI for detection, local and distant staging of prostate cancer. We demonstrate that MP [11C]Acetate PET-MRI with two MRI-derived parameters (T2 and DWI) achieves the best diagnostic accuracy for primary prostate cancer detection and that MP [11C]Acetate PET-MRI enables an improved local and distant staging.
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Affiliation(s)
- Stephan H. Polanec
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Piotr Andrzejewski
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- Department of Radiation Oncology, Division of Medical Radiation Physics, Medical University of Vienna, Vienna, Austria
| | - Pascal A. T. Baltzer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | - Thomas H. Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Alexander Stiglbauer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Dietmar Georg
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- Department of Radiation Oncology, Division of Medical Radiation Physics, Medical University of Vienna, Vienna, Austria
| | - Georgios Karanikas
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Martin Susani
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Wadsak
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Markus Margreiter
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Markus Mitterhauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Peter Brader
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
| | - Katja Pinker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria
- Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
- * E-mail:
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Marino MA, Helbich T, Baltzer P, Pinker-Domenig K. Multiparametric MRI of the breast: A review. J Magn Reson Imaging 2017. [DOI: 10.1002/jmri.25790] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Maria Adele Marino
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging; Medical University of Vienna; Austria
- Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino; University of Messina; Messina Italy
| | - Thomas Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging; Medical University of Vienna; Austria
| | - Pascal Baltzer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging; Medical University of Vienna; Austria
| | - Katja Pinker-Domenig
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging; Medical University of Vienna; Austria
- Department of Radiology; Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center; New York New York USA
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15
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Hoffner MKM, Huebner F, Scholtz JE, Zangos S, Schulz B, Luboldt W, Vogl TJ, Bodelle B. Impact of an endorectal coil for 1H-magnetic resonance spectroscopy of the prostate at 3.0T in comparison to 1.5T: Do we need an endorectal coil? Eur J Radiol 2016; 85:1432-8. [PMID: 27423684 DOI: 10.1016/j.ejrad.2016.05.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Revised: 05/25/2016] [Accepted: 05/31/2016] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To evaluate the influence of endorectal coil (ERC) regarding spectral quality and diagnostic suitability and diagnostic performance in 3.0T 1H-magnetic resonance spectroscopy imaging (MRSI) compared to 1.5T MRSI. MATERIALS AND METHODS The study was approved by the Institutional Review Board. MRSI of the prostate was performed on 19 patients at 1.5T with ERC (protocol 1), at 3.0T with a disabled ERC (protocol 2) and at 3.0T with ERC (protocol 3). Age, weight, body size, body-mass-index, prostate volume, time between measurements, diagnostic suitability of spectra, histopathological results after biopsy of cancer suspect lesions (CSL), sensitivity and specificity were evaluated. Signal-to-noise ratio (SNR) was calculated and compared using semiparametrical multiple Conover-comparisons. Correlations between SNR and prostate volume and BMI were indicated using Pearson correlation coefficient. Distribution of SNR was evaluated for prostate quadrants. RESULTS Diagnostic suitable spectra were achieved in 76 % (protocol 1, 100% in CSL), 32 % (protocol 2, 59% in CSL) and 50 % (protocol 3, 80% in CSL) of the voxels. SNR was significantly higher in protocol 3 compared to protocol 2 and 1 (93,729 vs. 27,836 vs. 32,897, p<0.0001) with significant difference between protocol 2 and 1 (p<0.023). Highest SNR was achieved in the dorsal prostate (protocols 1 and 3; p<0.0001). Sensitivity at 3.0T was higher with use of ERC. Specificity was highest at 1.5T with ERC. CONCLUSION The ERC improves the diagnostic suitability and the SNR in MRSI at 3.0T. Less voxels at 3.0T with disabled ERC are suitable for diagnosis compared to 1.5T with ERC. MRSI at 3.0T with ERC shows the highest SNR. SNR in dorsal quadrants of the prostate was higher using ERC.
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Affiliation(s)
- Maximilian K M Hoffner
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Frank Huebner
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Jan Erik Scholtz
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Stephan Zangos
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Boris Schulz
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Wolfgang Luboldt
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Thomas J Vogl
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
| | - Boris Bodelle
- Department of Diagnostic and Interventional Radiology, Goethe University of Frankfurt, Theodor-Stern-Kai 7, Haus 23c, 60590 Frankfurt am Main, Hesse, Germany.
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Mertan FV, Berman R, Szajek K, Pinto PA, Choyke PL, Turkbey B. Evaluating the Role of mpMRI in Prostate Cancer Assessment. Expert Rev Med Devices 2016; 13:129-41. [PMID: 26690507 PMCID: PMC6364697 DOI: 10.1586/17434440.2016.1134311] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Prostate cancer is the most common malignancy among American men. The role of multi-parametric MRI has recently gained more importance in detection of prostate cancer, its targeted biopsy, and focal therapy guidance. In this review, uses of multi-parametric MRI in prostate cancer assessment and treatment are discussed.
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Affiliation(s)
| | - Rose Berman
- Molecular Imaging Program, NCI, NIH, Bethesda, MD, USA
| | - Kathryn Szajek
- Molecular Imaging Program, NCI, NIH, Bethesda, MD, USA
- Department of Science, Mount St. Mary’s University, Emmitsburg, MD, USA
| | | | | | - Baris Turkbey
- Molecular Imaging Program, NCI, NIH, Bethesda, MD, USA
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