Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values

Abstract The Centiloid Project describes a post-hoc data transformation to standardize amyloid PET measurements to enable direct data comparisons across sites and studies using differing acquisition/analysis methods. It uses linear regression that transforms values using different measurement scales...

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Autores principales:	Christopher G. Schwarz, Nirubol Tosakulwong, Matthew L. Senjem, Jeffrey L. Gunter, Terry M. Therneau, Prashanthi Vemuri, Val J. Lowe, Clifford R. Jack
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/384c32a4458e4957a1125b51825a85b5
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spelling	oai:doaj.org-article:384c32a4458e4957a1125b51825a85b52021-12-02T11:40:54ZConsiderations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values10.1038/s41598-018-25459-92045-2322https://doaj.org/article/384c32a4458e4957a1125b51825a85b52018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25459-9https://doaj.org/toc/2045-2322Abstract The Centiloid Project describes a post-hoc data transformation to standardize amyloid PET measurements to enable direct data comparisons across sites and studies using differing acquisition/analysis methods. It uses linear regression that transforms values using different measurement scales to match those from a standard Centiloid unit scale. Our group’s measurement method differs from the Centiloid’s standard method in both acquisition and analysis methods. In this work we examine multiple variations for performing these transformations and compare several approaches. We hypothesized that using Deming regression, which accounts for error on both axes, would produce a more optimal transformation than the recommended standard linear regression. We also examined the effects of performing separate regressions for differences in acquisition and analysis methods, rather than a direct single-regression approach. Our results found that all transformation approaches had very similar performance and were within the recommended tolerance thresholds.Christopher G. SchwarzNirubol TosakulwongMatthew L. SenjemJeffrey L. GunterTerry M. TherneauPrashanthi VemuriVal J. LoweClifford R. JackNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-6 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Christopher G. Schwarz Nirubol Tosakulwong Matthew L. Senjem Jeffrey L. Gunter Terry M. Therneau Prashanthi Vemuri Val J. Lowe Clifford R. Jack Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
description	Abstract The Centiloid Project describes a post-hoc data transformation to standardize amyloid PET measurements to enable direct data comparisons across sites and studies using differing acquisition/analysis methods. It uses linear regression that transforms values using different measurement scales to match those from a standard Centiloid unit scale. Our group’s measurement method differs from the Centiloid’s standard method in both acquisition and analysis methods. In this work we examine multiple variations for performing these transformations and compare several approaches. We hypothesized that using Deming regression, which accounts for error on both axes, would produce a more optimal transformation than the recommended standard linear regression. We also examined the effects of performing separate regressions for differences in acquisition and analysis methods, rather than a direct single-regression approach. Our results found that all transformation approaches had very similar performance and were within the recommended tolerance thresholds.
format	article
author	Christopher G. Schwarz Nirubol Tosakulwong Matthew L. Senjem Jeffrey L. Gunter Terry M. Therneau Prashanthi Vemuri Val J. Lowe Clifford R. Jack
author_facet	Christopher G. Schwarz Nirubol Tosakulwong Matthew L. Senjem Jeffrey L. Gunter Terry M. Therneau Prashanthi Vemuri Val J. Lowe Clifford R. Jack
author_sort	Christopher G. Schwarz
title	Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
title_short	Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
title_full	Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
title_fullStr	Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
title_full_unstemmed	Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
title_sort	considerations for performing level-2 centiloid transformations for amyloid pet suvr values
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/384c32a4458e4957a1125b51825a85b5
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Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values

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