Academic Journal

Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation

التفاصيل البيبلوغرافية
العنوان: Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation
المؤلفون: Christopher G. Schwarz, Terry M. Therneau, Stephen D. Weigand, Jeffrey L. Gunter, Val J. Lowe, Scott A. Przybelski, Matthew L. Senjem, Hugo Botha, Prashanthi Vemuri, Kejal Kantarci, Bradley F. Boeve, Jennifer L. Whitwell, Keith A. Josephs, Ronald C. Petersen, David S. Knopman, Clifford R. Jack, Jr
المصدر: NeuroImage, Vol 238, Iss , Pp 118259- (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: AV-1451, Flortaucipir, Tau PET, Partial volume correction, PVC, GTM, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: Since tau PET tracers were introduced, investigators have quantified them using a wide variety of automated methods. As longitudinal cohort studies acquire second and third time points of serial within-person tau PET data, determining the best pipeline to measure change has become crucial. We compared a total of 415 different quantification methods (each a combination of multiple options) according to their effects on a) differences in annual SUVR change between clinical groups, and b) longitudinal measurement repeatability as measured by the error term from a linear mixed-effects model. Our comparisons used MRI and Flortaucipir scans of 97 Mayo Clinic study participants who clinically either: a) were cognitively unimpaired, or b) had cognitive impairments that were consistent with Alzheimer's disease pathology. Tested methods included cross-sectional and longitudinal variants of two overarching pipelines (FreeSurfer 6.0, and an in-house pipeline based on SPM12), three choices of target region (entorhinal, inferior temporal, and a temporal lobe meta-ROI), five types of partial volume correction (PVC) (none, two-compartment, three-compartment, geometric transfer matrix (GTM), and a tau-specific GTM variant), seven choices of reference region (cerebellar crus, cerebellar gray matter, whole cerebellum, pons, supratentorial white matter, eroded supratentorial WM, and a composite of eroded supratentorial WM, pons, and whole cerebellum), two choices of region masking (GM or GM and WM), and two choices of statistic (voxel-wise mean vs. median). Our strongest findings were: 1) larger temporal-lobe target regions greatly outperformed entorhinal cortex (median sample size estimates based on a hypothetical clinical trial were 520–526 vs. 1740); 2) longitudinal processing pipelines outperformed cross-sectional pipelines (median sample size estimates were 483 vs. 572); and 3) reference regions including supratentorial WM outperformed traditional cerebellar and pontine options (median sample size estimates were 370 vs. 559). Altogether, our results favored longitudinally SUVR methods and a temporal-lobe meta-ROI that includes adjacent (juxtacortical) WM, a composite reference region (eroded supratentorial WM + pons + whole cerebellum), 2-class voxel-based PVC, and median statistics.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1095-9572
Relation: http://www.sciencedirect.com/science/article/pii/S105381192100536X; https://doaj.org/toc/1095-9572
DOI: 10.1016/j.neuroimage.2021.118259
URL الوصول: https://doaj.org/article/876d2dc8070a43d89899380f4fd80a25
رقم الانضمام: edsdoj.876d2dc8070a43d89899380f4fd80a25
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10959572
DOI:10.1016/j.neuroimage.2021.118259