Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer
Purpose To develop and evaluate an examination consisting of magnetic resonance (MR) fingerprinting-based T1, T2, and standard apparent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease. Materials and Methods This institutional review board-approved, HIPAA-...
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| Vydáno v: | Radiology Ročník 283; číslo 3; s. 729 - 738 |
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| Hlavní autoři: | , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
01.06.2017
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| ISSN: | 1527-1315 |
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| Abstract | Purpose To develop and evaluate an examination consisting of magnetic resonance (MR) fingerprinting-based T1, T2, and standard apparent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease. Materials and Methods This institutional review board-approved, HIPAA-compliant retrospective study of prospectively collected data included 140 patients suspected of having prostate cancer. T1 and T2 mapping was performed with fast imaging with steady-state precession-based MR fingerprinting with ADC mapping. Regions of interest were drawn by two independent readers in peripheral zone lesions and normal-appearing peripheral zone (NPZ) tissue identified on clinical images. T1, T2, and ADC were recorded for each region. Histopathologic correlation was based on systematic transrectal biopsy or cognitively targeted biopsy results, if available. Generalized estimating equations logistic regression was used to assess T1, T2, and ADC in the differentiation of (a) cancer versus NPZ, (b) cancer versus prostatitis, (c) prostatitis versus NPZ, and (d) high- or intermediate-grade tumors versus low-grade tumors. Analysis was performed for all lesions and repeated in a targeted biopsy subset. Discriminating ability was evaluated by using the area under the receiver operating characteristic curve (AUC). Results In this study, 109 lesions were analyzed, including 39 with cognitively targeted sampling. T1, T2, and ADC from cancer (mean, 1628 msec ± 344, 73 msec ± 27, and 0.773 × 10
mm
/sec ± 0.331, respectively) were significantly lower than those from NPZ (mean, 2247 msec ± 450, 169 msec ± 61, and 1.711 × 10
mm
/sec ± 0.269) (P < .0001 for each) and together produced the best separation between these groups (AUC = 0.99). ADC and T2 together produced the highest AUC of 0.83 for separating high- or intermediate-grade tumors from low-grade cancers. T1, T2, and ADC in prostatitis (mean, 1707 msec ± 377, 79 msec ± 37, and 0.911 × 10
mm
/sec ± 0.239) were significantly lower than those in NPZ (P < .0005 for each). Interreader agreement was excellent, with an intraclass correlation coefficient greater than 0.75 for both T1 and T2 measurements. Conclusion This study describes the development of a rapid MR fingerprinting- and diffusion-based examination for quantitative characterization of prostatic tissue.
RSNA, 2017 Online supplemental material is available for this article. |
|---|---|
| AbstractList | Purpose To develop and evaluate an examination consisting of magnetic resonance (MR) fingerprinting-based T1, T2, and standard apparent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease. Materials and Methods This institutional review board-approved, HIPAA-compliant retrospective study of prospectively collected data included 140 patients suspected of having prostate cancer. T1 and T2 mapping was performed with fast imaging with steady-state precession-based MR fingerprinting with ADC mapping. Regions of interest were drawn by two independent readers in peripheral zone lesions and normal-appearing peripheral zone (NPZ) tissue identified on clinical images. T1, T2, and ADC were recorded for each region. Histopathologic correlation was based on systematic transrectal biopsy or cognitively targeted biopsy results, if available. Generalized estimating equations logistic regression was used to assess T1, T2, and ADC in the differentiation of (a) cancer versus NPZ, (b) cancer versus prostatitis, (c) prostatitis versus NPZ, and (d) high- or intermediate-grade tumors versus low-grade tumors. Analysis was performed for all lesions and repeated in a targeted biopsy subset. Discriminating ability was evaluated by using the area under the receiver operating characteristic curve (AUC). Results In this study, 109 lesions were analyzed, including 39 with cognitively targeted sampling. T1, T2, and ADC from cancer (mean, 1628 msec ± 344, 73 msec ± 27, and 0.773 × 10
mm
/sec ± 0.331, respectively) were significantly lower than those from NPZ (mean, 2247 msec ± 450, 169 msec ± 61, and 1.711 × 10
mm
/sec ± 0.269) (P < .0001 for each) and together produced the best separation between these groups (AUC = 0.99). ADC and T2 together produced the highest AUC of 0.83 for separating high- or intermediate-grade tumors from low-grade cancers. T1, T2, and ADC in prostatitis (mean, 1707 msec ± 377, 79 msec ± 37, and 0.911 × 10
mm
/sec ± 0.239) were significantly lower than those in NPZ (P < .0005 for each). Interreader agreement was excellent, with an intraclass correlation coefficient greater than 0.75 for both T1 and T2 measurements. Conclusion This study describes the development of a rapid MR fingerprinting- and diffusion-based examination for quantitative characterization of prostatic tissue.
RSNA, 2017 Online supplemental material is available for this article. Purpose To develop and evaluate an examination consisting of magnetic resonance (MR) fingerprinting-based T1, T2, and standard apparent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease. Materials and Methods This institutional review board-approved, HIPAA-compliant retrospective study of prospectively collected data included 140 patients suspected of having prostate cancer. T1 and T2 mapping was performed with fast imaging with steady-state precession-based MR fingerprinting with ADC mapping. Regions of interest were drawn by two independent readers in peripheral zone lesions and normal-appearing peripheral zone (NPZ) tissue identified on clinical images. T1, T2, and ADC were recorded for each region. Histopathologic correlation was based on systematic transrectal biopsy or cognitively targeted biopsy results, if available. Generalized estimating equations logistic regression was used to assess T1, T2, and ADC in the differentiation of (a) cancer versus NPZ, (b) cancer versus prostatitis, (c) prostatitis versus NPZ, and (d) high- or intermediate-grade tumors versus low-grade tumors. Analysis was performed for all lesions and repeated in a targeted biopsy subset. Discriminating ability was evaluated by using the area under the receiver operating characteristic curve (AUC). Results In this study, 109 lesions were analyzed, including 39 with cognitively targeted sampling. T1, T2, and ADC from cancer (mean, 1628 msec ± 344, 73 msec ± 27, and 0.773 × 10-3 mm2/sec ± 0.331, respectively) were significantly lower than those from NPZ (mean, 2247 msec ± 450, 169 msec ± 61, and 1.711 × 10-3 mm2/sec ± 0.269) (P < .0001 for each) and together produced the best separation between these groups (AUC = 0.99). ADC and T2 together produced the highest AUC of 0.83 for separating high- or intermediate-grade tumors from low-grade cancers. T1, T2, and ADC in prostatitis (mean, 1707 msec ± 377, 79 msec ± 37, and 0.911 × 10-3 mm2/sec ± 0.239) were significantly lower than those in NPZ (P < .0005 for each). Interreader agreement was excellent, with an intraclass correlation coefficient greater than 0.75 for both T1 and T2 measurements. Conclusion This study describes the development of a rapid MR fingerprinting- and diffusion-based examination for quantitative characterization of prostatic tissue. © RSNA, 2017 Online supplemental material is available for this article. |
| Author | Yu, Alice C McGivney, Debra Pahwa, Shivani Ponsky, Lee E Dastmalchian, Sara Schluchter, Mark Tabayoyong, William Badve, Chaitra Jiang, Yun Rogers, Matthew Gulani, Vikas Margevicius, Seunghee Abouassaly, Robert Griswold, Mark A |
| Author_xml | – sequence: 1 givenname: Alice C surname: Yu fullname: Yu, Alice C organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 2 givenname: Chaitra surname: Badve fullname: Badve, Chaitra organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 3 givenname: Lee E surname: Ponsky fullname: Ponsky, Lee E organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 4 givenname: Shivani surname: Pahwa fullname: Pahwa, Shivani organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 5 givenname: Sara surname: Dastmalchian fullname: Dastmalchian, Sara organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 6 givenname: Matthew surname: Rogers fullname: Rogers, Matthew organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 7 givenname: Yun surname: Jiang fullname: Jiang, Yun organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 8 givenname: Seunghee surname: Margevicius fullname: Margevicius, Seunghee organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 9 givenname: Mark surname: Schluchter fullname: Schluchter, Mark organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 10 givenname: William surname: Tabayoyong fullname: Tabayoyong, William organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 11 givenname: Robert surname: Abouassaly fullname: Abouassaly, Robert organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 12 givenname: Debra surname: McGivney fullname: McGivney, Debra organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 13 givenname: Mark A surname: Griswold fullname: Griswold, Mark A organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 – sequence: 14 givenname: Vikas surname: Gulani fullname: Gulani, Vikas organization: From the School of Medicine (A.C.Y., M.R.), Department of Radiology (C.B., S.P., S.D., M.A.G., V.G.), Department of Urology (L.E.P., W.T., R.A., V.G.), Department of Biomedical Engineering (Y.J., M.A.G., V.G.), Department of Epidemiology and Biostatistics (S.M., M.S.), and Department of Mathematics (D.M.), Case Western Reserve University, 11100 Euclid Ave, Cleveland, OH 44106 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28187264$$D View this record in MEDLINE/PubMed |
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| References | 26823021 - Clin Radiol. 2016 Apr;71(4):356-62 25491018 - Magn Reson Med. 2015 Dec;74(6):1621-31 26427566 - Eur Urol. 2016 Jan;69(1):16-40 23392430 - Radiology. 2013 Jun;267(3):787-96 24040617 - Quant Imaging Med Surg. 2013 Aug;3(4):210-6 9408138 - Magn Reson Imaging. 1997;15(10):1177-86 21613875 - Top Magn Reson Imaging. 2010 Apr;21(2):101-13 17538295 - J Comput Assist Tomogr. 2007 May-Jun;31(3):449-54 20308476 - AJR Am J Roentgenol. 2010 Apr;194(4):W316-22 21502392 - Radiology. 2011 May;259(2):453-61 23083875 - J Urol. 2012 Dec;188(6):2152-7 23329653 - Radiology. 2013 Apr;267(1):164-72 26579733 - Radiology. 2016 Feb;278(2):563-77 26824078 - Tomography. 2015 Dec;1(2):136-144 21913058 - Eur Radiol. 2012 Feb;22(2):468-75 19692841 - Invest Radiol. 2009 Sep;44(9):572-6 21195536 - Eur Urol. 2011 Apr;59(4):477-94 25547670 - Diagn Interv Imaging. 2015 Apr;96(4):365-72 25626035 - JAMA. 2015 Jan 27;313(4):390-7 18839484 - Psychol Bull. 1979 Mar;86(2):420-8 23426849 - Br J Radiol. 2013 Apr;86(1024):20120469 25867656 - Invest Radiol. 2015 Aug;50(8):490-7 7596275 - Magn Reson Med. 1995 May;33(5):697-712 25687187 - Magn Reson Imaging. 2015 Jun;33(5):525-30 15163811 - Radiology. 2004 Jun;231(3):717-24 16374882 - J Magn Reson Imaging. 2006 Feb;23(2):130-4 25683501 - Acad Radiol. 2015 May;22(5):548-55 25408104 - J Magn Reson Imaging. 2015 Aug;42(2):446-53 22109293 - AJR Am J Roentgenol. 2011 Dec;197(6):1382-90 26094849 - Magn Reson Med. 2016 May;75(5):2130-40 20308447 - Radiology. 2010 Apr;255(1):89-99 23486058 - Nature. 2013 Mar 14;495(7440):187-92 |
| References_xml | – reference: 26094849 - Magn Reson Med. 2016 May;75(5):2130-40 – reference: 21195536 - Eur Urol. 2011 Apr;59(4):477-94 – reference: 23486058 - Nature. 2013 Mar 14;495(7440):187-92 – reference: 21913058 - Eur Radiol. 2012 Feb;22(2):468-75 – reference: 25687187 - Magn Reson Imaging. 2015 Jun;33(5):525-30 – reference: 23329653 - Radiology. 2013 Apr;267(1):164-72 – reference: 26823021 - Clin Radiol. 2016 Apr;71(4):356-62 – reference: 18839484 - Psychol Bull. 1979 Mar;86(2):420-8 – reference: 23426849 - Br J Radiol. 2013 Apr;86(1024):20120469 – reference: 23392430 - Radiology. 2013 Jun;267(3):787-96 – reference: 22109293 - AJR Am J Roentgenol. 2011 Dec;197(6):1382-90 – reference: 17538295 - J Comput Assist Tomogr. 2007 May-Jun;31(3):449-54 – reference: 19692841 - Invest Radiol. 2009 Sep;44(9):572-6 – reference: 16374882 - J Magn Reson Imaging. 2006 Feb;23(2):130-4 – reference: 21502392 - Radiology. 2011 May;259(2):453-61 – reference: 25491018 - Magn Reson Med. 2015 Dec;74(6):1621-31 – reference: 26579733 - Radiology. 2016 Feb;278(2):563-77 – reference: 25867656 - Invest Radiol. 2015 Aug;50(8):490-7 – reference: 9408138 - Magn Reson Imaging. 1997;15(10):1177-86 – reference: 20308476 - AJR Am J Roentgenol. 2010 Apr;194(4):W316-22 – reference: 7596275 - Magn Reson Med. 1995 May;33(5):697-712 – reference: 20308447 - Radiology. 2010 Apr;255(1):89-99 – reference: 25626035 - JAMA. 2015 Jan 27;313(4):390-7 – reference: 21613875 - Top Magn Reson Imaging. 2010 Apr;21(2):101-13 – reference: 23083875 - J Urol. 2012 Dec;188(6):2152-7 – reference: 26427566 - Eur Urol. 2016 Jan;69(1):16-40 – reference: 24040617 - Quant Imaging Med Surg. 2013 Aug;3(4):210-6 – reference: 25683501 - Acad Radiol. 2015 May;22(5):548-55 – reference: 25408104 - J Magn Reson Imaging. 2015 Aug;42(2):446-53 – reference: 26824078 - Tomography. 2015 Dec;1(2):136-144 – reference: 15163811 - Radiology. 2004 Jun;231(3):717-24 – reference: 25547670 - Diagn Interv Imaging. 2015 Apr;96(4):365-72 |
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| SubjectTerms | Adult Aged Biopsy Diffusion Magnetic Resonance Imaging - methods Humans Male Middle Aged Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - pathology Prostatitis - diagnostic imaging Prostatitis - pathology Retrospective Studies |
| Title | Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer |
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