Regional gray matter-dedicated SUVR with 3D-MRI detects positive amyloid deposits in equivocal amyloid PET images
Purpose It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcS...
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Published in | Annals of nuclear medicine Vol. 34; no. 11; pp. 856 - 863 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Singapore
Springer Singapore
01.11.2020
Springer Nature B.V |
Subjects | |
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Abstract | Purpose
It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcSUVR) measures accumulation in both gray matter (GM) and white matter, it may mis-estimate amyloid deposits. The purpose of the study was to develop a regional GM-dedicated SUVR measuring (GMSUVR) system for amyloid PET images with 3D-MRI, and evaluate its utility for detecting amyloid deposits in equivocal cases.
Methods
Of 126 subjects who underwent amyloid PET with
11
C-PiB and 3D-MRI, the area of amyloid-positive regions and the critical regional GMSUVR thresholds were first determined in 15 amyloid-positive and 15 amyloid-negative patients, using the automatic volumetric measurement of segmented brain images system. We then tested 36 amyloid-negative, 60 amyloid-positive, and 13 equivocal subjects with this GMSUVR system and with conventional mcSUVR.
Results
Sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were 100%, 92%, 97%, 95%, and 100% for the GMSUVR system; and 97%, 86%, 93%, 92% and 94%, respectively, for mcSUVR. In 24 cases in which the findings were equivocal or discordant, the sensitivity, specificity, accuracy, PPV, and NPV were all 100% for the GMSUVR system; and were 90%, 33%, 83%, 90%, and 33%, respectively, for mcSUVR.
Conclusion
The regional GMSUVR measurement method was well able to discriminate between amyloid-positive and -negative subjects, even in cases where amyloid deposition was equivocal. |
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AbstractList | It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcSUVR) measures accumulation in both gray matter (GM) and white matter, it may mis-estimate amyloid deposits. The purpose of the study was to develop a regional GM-dedicated SUVR measuring (GMSUVR) system for amyloid PET images with 3D-MRI, and evaluate its utility for detecting amyloid deposits in equivocal cases.PURPOSEIt is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcSUVR) measures accumulation in both gray matter (GM) and white matter, it may mis-estimate amyloid deposits. The purpose of the study was to develop a regional GM-dedicated SUVR measuring (GMSUVR) system for amyloid PET images with 3D-MRI, and evaluate its utility for detecting amyloid deposits in equivocal cases.Of 126 subjects who underwent amyloid PET with 11C-PiB and 3D-MRI, the area of amyloid-positive regions and the critical regional GMSUVR thresholds were first determined in 15 amyloid-positive and 15 amyloid-negative patients, using the automatic volumetric measurement of segmented brain images system. We then tested 36 amyloid-negative, 60 amyloid-positive, and 13 equivocal subjects with this GMSUVR system and with conventional mcSUVR.METHODSOf 126 subjects who underwent amyloid PET with 11C-PiB and 3D-MRI, the area of amyloid-positive regions and the critical regional GMSUVR thresholds were first determined in 15 amyloid-positive and 15 amyloid-negative patients, using the automatic volumetric measurement of segmented brain images system. We then tested 36 amyloid-negative, 60 amyloid-positive, and 13 equivocal subjects with this GMSUVR system and with conventional mcSUVR.Sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were 100%, 92%, 97%, 95%, and 100% for the GMSUVR system; and 97%, 86%, 93%, 92% and 94%, respectively, for mcSUVR. In 24 cases in which the findings were equivocal or discordant, the sensitivity, specificity, accuracy, PPV, and NPV were all 100% for the GMSUVR system; and were 90%, 33%, 83%, 90%, and 33%, respectively, for mcSUVR.RESULTSSensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were 100%, 92%, 97%, 95%, and 100% for the GMSUVR system; and 97%, 86%, 93%, 92% and 94%, respectively, for mcSUVR. In 24 cases in which the findings were equivocal or discordant, the sensitivity, specificity, accuracy, PPV, and NPV were all 100% for the GMSUVR system; and were 90%, 33%, 83%, 90%, and 33%, respectively, for mcSUVR.The regional GMSUVR measurement method was well able to discriminate between amyloid-positive and -negative subjects, even in cases where amyloid deposition was equivocal.CONCLUSIONThe regional GMSUVR measurement method was well able to discriminate between amyloid-positive and -negative subjects, even in cases where amyloid deposition was equivocal. PurposeIt is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcSUVR) measures accumulation in both gray matter (GM) and white matter, it may mis-estimate amyloid deposits. The purpose of the study was to develop a regional GM-dedicated SUVR measuring (GMSUVR) system for amyloid PET images with 3D-MRI, and evaluate its utility for detecting amyloid deposits in equivocal cases.MethodsOf 126 subjects who underwent amyloid PET with 11C-PiB and 3D-MRI, the area of amyloid-positive regions and the critical regional GMSUVR thresholds were first determined in 15 amyloid-positive and 15 amyloid-negative patients, using the automatic volumetric measurement of segmented brain images system. We then tested 36 amyloid-negative, 60 amyloid-positive, and 13 equivocal subjects with this GMSUVR system and with conventional mcSUVR.ResultsSensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were 100%, 92%, 97%, 95%, and 100% for the GMSUVR system; and 97%, 86%, 93%, 92% and 94%, respectively, for mcSUVR. In 24 cases in which the findings were equivocal or discordant, the sensitivity, specificity, accuracy, PPV, and NPV were all 100% for the GMSUVR system; and were 90%, 33%, 83%, 90%, and 33%, respectively, for mcSUVR.ConclusionThe regional GMSUVR measurement method was well able to discriminate between amyloid-positive and -negative subjects, even in cases where amyloid deposition was equivocal. Purpose It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative measurement standard uptake value ratio (SUVR), but the findings are equivocal in some cases. As conventional mean cortical SUVR (mcSUVR) measures accumulation in both gray matter (GM) and white matter, it may mis-estimate amyloid deposits. The purpose of the study was to develop a regional GM-dedicated SUVR measuring (GMSUVR) system for amyloid PET images with 3D-MRI, and evaluate its utility for detecting amyloid deposits in equivocal cases. Methods Of 126 subjects who underwent amyloid PET with 11 C-PiB and 3D-MRI, the area of amyloid-positive regions and the critical regional GMSUVR thresholds were first determined in 15 amyloid-positive and 15 amyloid-negative patients, using the automatic volumetric measurement of segmented brain images system. We then tested 36 amyloid-negative, 60 amyloid-positive, and 13 equivocal subjects with this GMSUVR system and with conventional mcSUVR. Results Sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) were 100%, 92%, 97%, 95%, and 100% for the GMSUVR system; and 97%, 86%, 93%, 92% and 94%, respectively, for mcSUVR. In 24 cases in which the findings were equivocal or discordant, the sensitivity, specificity, accuracy, PPV, and NPV were all 100% for the GMSUVR system; and were 90%, 33%, 83%, 90%, and 33%, respectively, for mcSUVR. Conclusion The regional GMSUVR measurement method was well able to discriminate between amyloid-positive and -negative subjects, even in cases where amyloid deposition was equivocal. |
Author | Ishii, Kazunari Hanaoka, Kohei Hanada, Kazushi Kaida, Hayato Rominger, Axel Yamada, Takahiro Miyazaki, Koichi Sauerbeck, Julia Saigoh, Kazumasa Ueda, Masami Bartenstein, Peter Kimura, Yuichi |
Author_xml | – sequence: 1 givenname: Kazunari orcidid: 0000-0001-6601-952X surname: Ishii fullname: Ishii, Kazunari email: ishii@med.kindai.ac.jp organization: Department of Radiology, Kindai University Faculty of Medicine, Institute of Advanced Clinical Medicine, Kindai University Hospital, Neurocognitive Disorders Center, Kindai University Hospital – sequence: 2 givenname: Takahiro surname: Yamada fullname: Yamada, Takahiro organization: Institute of Advanced Clinical Medicine, Kindai University Hospital – sequence: 3 givenname: Kohei surname: Hanaoka fullname: Hanaoka, Kohei organization: Institute of Advanced Clinical Medicine, Kindai University Hospital – sequence: 4 givenname: Hayato surname: Kaida fullname: Kaida, Hayato organization: Department of Radiology, Kindai University Faculty of Medicine, Institute of Advanced Clinical Medicine, Kindai University Hospital – sequence: 5 givenname: Koichi surname: Miyazaki fullname: Miyazaki, Koichi organization: Department of Radiology, Kindai University Faculty of Medicine – sequence: 6 givenname: Masami surname: Ueda fullname: Ueda, Masami organization: Neurocognitive Disorders Center, Kindai University Hospital – sequence: 7 givenname: Kazushi surname: Hanada fullname: Hanada, Kazushi organization: Neurocognitive Disorders Center, Kindai University Hospital – sequence: 8 givenname: Kazumasa surname: Saigoh fullname: Saigoh, Kazumasa organization: Neurocognitive Disorders Center, Kindai University Hospital – sequence: 9 givenname: Julia surname: Sauerbeck fullname: Sauerbeck, Julia organization: Department of Nuclear Medicine, Ludwig-Maximilians-University Munich – sequence: 10 givenname: Axel surname: Rominger fullname: Rominger, Axel organization: Inselspital, University Hospital Bern, University Clinic for Nuclear Medicine – sequence: 11 givenname: Peter surname: Bartenstein fullname: Bartenstein, Peter organization: Department of Nuclear Medicine, Ludwig-Maximilians-University Munich – sequence: 12 givenname: Yuichi surname: Kimura fullname: Kimura, Yuichi organization: Graduate School of Biology-Oriented Science and Technology, Kindai University |
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Cites_doi | 10.1212/01.wnl.0000240117.55680.0a 10.1186/s13550-019-0561-2 10.4172/2161-0460.1000317 10.1007/s00259-014-2728-4 10.1007/s12149-014-0924-8 10.1001/archneur.58.12.1985 10.1212/WNL.0000000000004058 10.1016/j.neuroimage.2007.07.007 10.2967/jnumed.115.156414 10.1007/s00259-013-2656-8 10.1212/WNL.51.6.1546 10.1088/0031-9155/61/15/5768 10.1007/s00259-016-3591-2 10.2967/jnumed.106.035691 10.1016/j.jalz.2011.03.005 10.1159/000357329 10.1007/s00259-019-04595-y 10.1016/j.neuroimage.2006.05.063 |
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It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or... PurposeIt is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or... It is usually easy to judge whether amyloid PET images should be interpreted as positive or negative for amyloid deposits by visual inspection or quantitative... |
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SubjectTerms | Alzheimer's disease Deposits Imaging Inspection Magnetic resonance imaging Measurement methods Medical imaging Medicine Medicine & Public Health Nuclear Medicine Original Article Positron emission Positron emission tomography Radiology Regional development Sensitivity Substantia alba Substantia grisea Tomography |
Title | Regional gray matter-dedicated SUVR with 3D-MRI detects positive amyloid deposits in equivocal amyloid PET images |
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