Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET

A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference s...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 55; H. 3; S. 933 - 941
Hauptverfasser:	Rosario, Bedda L., Weissfeld, Lisa A., Laymon, Charles M., Mathis, Chester A., Klunk, William E., Berginc, Michael D., James, Jeffrey A., Hoge, Jessica A., Price, Julie C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.04.2011 Elsevier Limited
Schlagworte:	Aged Aged, 80 and over Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - diagnostic imaging Alzheimer's disease Amyloid - metabolism Aniline Compounds Atrophy Atrophy correction Automated Automated delineation Automation Brain - diagnostic imaging Confidence intervals Data Interpretation, Statistical Delineation Deposition Female Humans Image Processing, Computer-Assisted - methods Intra-class correlation coefficient Magnetic Resonance Imaging Male Manual delineation Medical imaging Methods Middle Aged Neurodegeneration Observer Variation Partial volume correction PET PiB Positron emission Positron-Emission Tomography - methods Positron-Emission Tomography - statistics & numerical data Radiopharmaceuticals Region-of-interest Reliability Reproducibility of Results Retention Sport utility vehicles SUV Thiazoles Tomography Atrophy correction Manual delineation Region-of-interest Automated delineation PiB Partial volume correction Intra-class correlation coefficient Reliability PET
ISSN:	1053-8119, 1095-9572, 1095-9572
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Abstract	A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (VT), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for VT and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) VT or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis. ►Manual ROI delineation provided high inter-rater reliability for PiB PET (ICC>0.8). ►CSF correction did not impact reliability of manual PiB PET measures. ►Highest inter-rater reliability was found in primary cortical areas. ►An automated ROI method agreed well with manual results in primary cortical areas.
AbstractList	A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (V(T)), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for V(T) and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) V(T) or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis.A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (V(T)), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for V(T) and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) V(T) or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis. A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (VT), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC>=0.932) was obtained across 3 manual raters for VTand SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC>=0.979 (ACG/PRC)] and SUVR [ICC>=0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) VTor SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis. A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n = 5) and AD (n = 5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (V sub(T), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC >= 0.932) was obtained across 3 manual raters for V) sub(T) and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC >= 0.979 (ACG/PRC)] and SUVR [ICC >= 0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) V sub(T or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis.) A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (VT), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for VT and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) VT or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis. ►Manual ROI delineation provided high inter-rater reliability for PiB PET (ICC>0.8). ►CSF correction did not impact reliability of manual PiB PET measures. ►Highest inter-rater reliability was found in primary cortical areas. ►An automated ROI method agreed well with manual results in primary cortical areas. A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer’s disease is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (VT), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC = 0.932) was obtained across 3 manual raters for VT and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC = 0.979 (ACG/PRC)] and SUVR [ICC = 0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) VT or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis. A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid deposition in human brain. Manual region-of-interest (ROI) delineation on structural magnetic resonance (MR) images is generally the reference standard for the extraction of count-rate data from PET images, as compared to automated MR-template(s) methods that utilize spatial normalization and a single set of ROIs. The goal of this work was to assess the inter-rater reliability of manual ROI delineation for PiB PET amyloid retention measures and the impact of CSF dilution correction (CSF) on this reliability for data acquired in elderly control (n=5) and AD (n=5) subjects. The intraclass correlation coefficient (ICC) was used to measure reliability. As a secondary goal, ICC scores were also computed for PiB outcome measures obtained by an automated MR-template ROI method and one manual rater; to assess the level of reliability that could be achieved using different processing methods. Fourteen ROIs were evaluated that included anterior cingulate (ACG), precuneus (PRC) and cerebellum (CER). The PiB outcome measures were the volume of distribution (V(T)), summed tissue uptake (SUV), and corresponding ratios that were computed using CER as reference (DVR and SUVR). Substantial reliability (ICC≥0.932) was obtained across 3 manual raters for V(T) and SUV measures when CSF correction was applied across all outcomes and regions and was similar in the absence of CSF correction. The secondary analysis revealed substantial reliability in primary cortical areas between the automated and manual SUV [ICC≥0.979 (ACG/PRC)] and SUVR [ICC≥0.977/0.952 (ACG/PRC)] outcomes. The current study indicates the following rank order among the various reliability results in primary cortical areas and cerebellum (high to low): 1) V(T) or SUV manual delineation, with or without CSF correction; 2) DVR or SUVR manual delineation, with or without CSF correction; 3) SUV automated delineation, with CSF correction; and 4) SUVR automated delineation, with or without CSF correction. The high inter-rater reliability of PiB outcome measures in primary cortical areas (ACG/PRC) is important as reliable methodology is needed for the detection of low levels of amyloid deposition on a cross-sectional basis and small changes in amyloid deposition on a longitudinal basis.
Author	Rosario, Bedda L. Laymon, Charles M. Price, Julie C. Weissfeld, Lisa A. James, Jeffrey A. Klunk, William E. Hoge, Jessica A. Berginc, Michael D. Mathis, Chester A.
AuthorAffiliation	a Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian Hospital, 200 Lothrop Street, Pittsburgh, PA 15213, USA b Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, USA c Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA 15213
AuthorAffiliation_xml	– name: c Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, 3811 O’Hara Street, Pittsburgh, PA 15213 – name: b Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, USA – name: a Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian Hospital, 200 Lothrop Street, Pittsburgh, PA 15213, USA
Author_xml	– sequence: 1 givenname: Bedda L. surname: Rosario fullname: Rosario, Bedda L. email: rosariobl@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 2 givenname: Lisa A. surname: Weissfeld fullname: Weissfeld, Lisa A. email: lweis@pitt.edu organization: Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, USA – sequence: 3 givenname: Charles M. surname: Laymon fullname: Laymon, Charles M. email: laymoncm@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 4 givenname: Chester A. surname: Mathis fullname: Mathis, Chester A. email: mathisca@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 5 givenname: William E. surname: Klunk fullname: Klunk, William E. email: klunkwe@upmc.edu organization: Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, 3811 O'Hara Street, Pittsburgh, PA 15213, USA – sequence: 6 givenname: Michael D. surname: Berginc fullname: Berginc, Michael D. email: bergincm@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 7 givenname: Jeffrey A. surname: James fullname: James, Jeffrey A. email: jamesja2@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 8 givenname: Jessica A. surname: Hoge fullname: Hoge, Jessica A. email: jessicahoge@gmail.com organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA – sequence: 9 givenname: Julie C. surname: Price fullname: Price, Julie C. email: pricejc@upmc.edu organization: Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, USA
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/21195782$$D View this record in MEDLINE/PubMed
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ContentType	Journal Article
Copyright	2011 Elsevier Inc. Copyright © 2011 Elsevier Inc. All rights reserved. Copyright Elsevier Limited Apr 1, 2011
Copyright_xml	– notice: 2011 Elsevier Inc. – notice: Copyright © 2011 Elsevier Inc. All rights reserved. – notice: Copyright Elsevier Limited Apr 1, 2011
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DOI	10.1016/j.neuroimage.2010.12.070
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Keywords	Atrophy correction Manual delineation Region-of-interest Automated delineation PiB Partial volume correction Intra-class correlation coefficient Reliability PET
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Jessica A. Hoge, MD, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, jessicahoge@gmail.com Jeffrey A. James, BS, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, jamesja2@upmc.edu Julie C. Price, PhD, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, pricejc@upmc.edu William E. Klunk, MD, PhD, Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic Room 1422, 3811 O’Hara Street, Pittsburgh, PA 15213, klunkwe@upmc.edu Michael D. Berginc, BS, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, bergincm@upmc.edu Lisa A. Weissfeld, PhD, Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, 130 DeSoto Street, 326 Parran Hall, Pittsburgh, PA 15261, lweis@pitt.edu Chester A. Mathis, PhD, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, mathisca@upmc.edu Charles M. Laymon, PhD, Department of Radiology, University of Pittsburgh School of Medicine, Presbyterian University Hospital, B-938, 200 Lothrop Street, Pittsburgh, PA 15213, laymoncm@upmc.edu
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Snippet	A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer's disease (AD) is the reliable detection of early amyloid... A major challenge in positron emission tomography (PET) amyloid imaging studies of Alzheimer’s disease is the reliable detection of early amyloid deposition in...
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SubjectTerms	Aged Aged, 80 and over Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - diagnostic imaging Alzheimer's disease Amyloid - metabolism Aniline Compounds Atrophy Atrophy correction Automated Automated delineation Automation Brain - diagnostic imaging Confidence intervals Data Interpretation, Statistical Delineation Deposition Female Humans Image Processing, Computer-Assisted - methods Intra-class correlation coefficient Magnetic Resonance Imaging Male Manual delineation Medical imaging Methods Middle Aged Neurodegeneration Observer Variation Partial volume correction PET PiB Positron emission Positron-Emission Tomography - methods Positron-Emission Tomography - statistics & numerical data Radiopharmaceuticals Region-of-interest Reliability Reproducibility of Results Retention Sport utility vehicles SUV Thiazoles Tomography
Title	Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET
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