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Table 2 Systematic review of 23 studies deriving tau PET cut-points

From: What’s the cut-point?: a systematic investigation of tau PET thresholding methods

Study

Sample

Reference region

PVC

ROI(s)

Analytic approach

Cut-point

[19] Botha et al. (2018), Brain

24 CI OAs from MCSA and ADRC

Cerebellar crus gray

Not reported

Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

ROC maximizing sensitivity/specificity between YAs and A+ CI OAs

1.33

[20] Cho et al. (2018), Neurobiol Aging

220 OAs (all dx) from memory clinic

Cerebellar cortex

Yes using region-based voxelwise method (and no)

25 individual ROIs

Mean + 2.5 SDs above CU with minimal cortical Abeta (<1.4) and EC tau (<1.2)

Not reported

[21] Dodich et al. (2020), Eur J Nucl Med

81 CI OAs from memory clinic

Cerebellar crus

Not reported

Meta-ROI (medial temporal lobe, lateral occipital, ITG)

ROC between A−/N− vs other

1.24

[22] Guo et al. (2020), Alz Res Ther

341 OAs (all dx) from ADNI

Inferior cerebellar cortex

Yes using GTM

(1) Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

(2) EC ROI

(A) ROC with Youden index between A− CU and A+ C

(B) Mean +2 SDs above A− CU

(1A) 1.25

(2A) 1.21

(1B) 1.34

(2B) 1.31

[23] Jack et al. (2017), Alz Dem

49 YAs and 153 OAs (all dx) from MCSA and ADRC

Cerebellar crus gray median

“Most likely CSF” voxels were removed

Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

(1) Maximize specificity (95%) based on YAs

(2) Maximize sensitivity (10%) based on A+ CI OAs

(3) ROC maximizing accuracy between YAs and A+ CI OAs

(4) ROC maximizing accuracy between A− CU OAs and A+ CI OAs

(1) 1.19

(2) 1.21

(3) 1.21

(4) 1.32

[24] Jack et al. (2017), Lancet Neuro

435 OAs from MCSA (YAs not reported)

Cerebellar crus gray median

No

Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

ROC maximizing accuracy between YAs and A+ CI OAs

1.23

[25] Jack et al. (2019), JAMA

480 OAs without dementia

from MCSA (YAs not reported)

Cerebellar crus gray

No (and yes using two compartment method)

Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

(1) ROC maximizing accuracy between YAs and A+ CI OAs

(2) ROC maximizing accuracy between A− CU and A+ CI OAs

(1) 1.25

(2) 1.33

[26] Jang et al. (2019), Eur J Nucl Med imaging

60 OAs with SVCI from medical center and 49 OAs (all dx) from hospital

Cerebellar gray

Yes

(1) Braak V/VI

(2) Braak III/IV

(3) Braak I/II

CIDT (criterion variable unspecified); T+ considered III/IV or above

(1) 1.58

(2) 1.33

(3) 1.29

[27] Lowe et al. (2018), Alz Dem: DADM

112 YAs from MCSA and 576 OAs from MCSA and ADRC

Cerebellar Crus

No

Temporal meta-ROI (EC, parahippocampal, hippocampus); 26 individual ROIs also assessed

95% above A− YAs

Not reported

[28] Lowe et al. (2018), Brain

98 YAs, 601 A− CU OAs, 86 A+ CI OAs from MCSA and ADRC

Cerebellar crus gray

No (and yes using two compartment method)

47 individual ROIs

95% above A− YAs for each ROI

Not reported

[29] Lowe et al. (2019), Neurology

117 YAs; 579 CU OAs from MCSA

Cerebellar crus

No (and yes using GTM)

43 individual ROIs

95% percent above A− YAs

1.17 in EC

[30] Lowe et al. (2020), Alz Dem

26 OAs from MCSA and ADRC

Cerebellar Crus

No (and yes using GTM)

(1) Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

(2) EC ROI

ROC with Youden index between AD and non-AD spectrum pathology

*

(1) 1.29

(2) 1.27

[14] Maass et al. (2017), Neuroimage

Sample 1: 12 YAs, 74 CU OAs from BACS, and 61 CI OAs from ADRC

Sample 2: 42 CU and 28 CI OAs from ADNI

Inferior cerebellar gay

(1) Yes using GTM

(2) No

(A) Temporal meta-ROI

(B) ITG

(Also examined whole brain, AD-vulnerable mask, and Braak stage composite regions)

ROC with Youden index between A− CU OAs and A+ CI OAs)

(Also used CIDT with age/diagnostic group as input variable for Braak composite staging)

(1A) 1.47 (BACS/UCSF) and 1.34 (ADNI)

(1B) 1.27 (BACS/UCSF) and 1.20 (ADNI)

(2A) 1.46 (BACS/UCSF) and 1.40 (ADNI)

(2B) 1.30 (BACS/UCSF) and 1.23 (ADNI)

(other cut-points omitted from table but included in results section)

[31] Mattsson-Carlgren et al. (2020), Sci Adv

131 OAs (all dx) from BioFINDER

Inferior cerebellar gray

No (and yes using GTM in EC)

(1) EC

(2) ITG

(3) Braak V/VI

Mean +2 SDs above independent A− CU group

(1) 1.39

(2) 1.31

(3) 1.28

[32] Meyer et al. (2020), JAMA Neuro

322 OAs (all dx) from ADNI

Inferior cerebellar gray

No (and yes using GTM)

Temporal meta-ROI (amygdala, EC, fusiform, parahippocampal, ITG, MTG)

ROC with maximum percentage correct classification between A− CU OAs and A+ CI OAs

*

1.37

[33] Mishra et al. (2017), Neuroimage

97 OAs (all dx) from ADRC

(1) Whole cerebellum

(2) Cerebellar cortex

Yes using RSF

Meta-ROI (EC, lateral occipital, ITG, amygdala)

SKM method to cluster into high and low tau groups; midpoint taken

(1) 1.25

(2) 1.22

[34] Ossenkoppele et al. (2018), JAMA

719 OAs (all dx) from ADRC, BioFINDER, and memory clinic

Inferior cerebellar gray

No (and yes using GTM)

5 ROIs examined: EC, ITG, temporal meta-ROI, temporoparietal cortex, Braak V/VI

(1) Mean +2 SDs above CU

(2) ROC Youden index between controls and AD

*

For temporal meta-ROI:

(1) 1.34

(2) 1.27

(other cut-points omitted from table but included in results section)

[35] Rafii et al. (2017), JAD

9 adults with Down syndrome from DSBI

(1) Cerebellar cortex (bottom slice removed and edges eroded)

(2) Subcortical WM

Yes using Muller-Gartner method

Braak I-VI average

Quantitative discrimination of A− vs A+

(1) 1.2

(2) 1.05

[36] Schöll et al. (2016), Neuron

5 YAs and 33 CU OAs from BACS; 15 CI OAs from ADRC

Cerebellar gray

Yes using GTM

(1) Braak V/VI

(2) Braak III/IV

(3) Braak I/II

CIDT using age/diagnostic group as input variable

(1) 2.79

(2) 1.73

(3) 1.40

[37] Schwarz et al. (2016), Brain

14 YAs and 173 OAs (all dx) from a clinical study

Cerebellar crus

Not reported

7 ROIs corresponding to Braak histological stages

Mean +2.5 SDs above YAs

Ranged from 1.22 (STG) to 1.36 (fusiform)

[38] Schwarz et al. (2018), Alz Dem

14 YA, 21 OAs (all dx) for test-retest, and 98 OAs (all dx) from ADNI

Cerebellar gray

Not reported

(1) Meta-ROI (hippocampus, TEC, fusiform, MTG, STG, extrastriate, striate)

(2) Simplified meta-ROI (medial temporal, lateral temporal, STG, primary visual cortex)

(3) Lobar (average temporal, parietal, and frontal lobes) (ROIs gray matter masked)

(1) Mean +2.5 SDs above T− YAs for each ROI within meta-ROI; T+ includes those above threshold in hippocampus, TEC, fusiform, MTG, and extrastriate

(2) Mean +3 SDs above T− YAs to obtain same average as (1); T+ includes those above threshold in MTL and lateral temporal

(3) Mean +3 SDs above T− YAs to obtain same average as (1); T+ includes those above threshold in temporal lobe

*

1.28

[39] Wang et al. (2016), JAMA Neuro

59 OAs (all dx) from ADRC

Cerebellar cortex

No (and yes using linear regression)

(1) Hippocampus

(2) Meta-ROI (medial temporal, ITG, lateral temporal, inferior parietal, PCC, precuneus, SPL)

(A) ROC with Youden index between A− CU and A+ AD

(B) ROC with Youden index between A+ CU and A+ AD

*

(1A) 1.36

(2A) 1.19

(1B) 1.36

(2B) 1.33

[40] Weigand et al. (2020), Brain Comms

523 OAs (all dx) from ADNI

Inferior cerebellar gray

Yes using GTM

(1) Braak V/VI

(2) Braak III/IV

(3) Braak I/II

CIDT with MMSE as input variable

(1) 1.96

(2) 1.51

(3) 1.18

  1. A amyloid, ADNI Alzheimer’s Disease Neuroimaging Initiative, ADRC Alzheimer’s Disease Research Center, BACS Berkeley Aging Cohort Study, CIDT conditional inference decision tree, CU cognitively unimpaired, CI cognitively impaired, DSBI Down Syndrome Biomarker Initiative, Dx diagnoses, EC entorhinal cortex, GTM geometric transfer matrix, ITG inferior temporal gyrus, MCSA Mayo Clinic Study of Aging, MTG middle temporal gyrus, N neurodegeneration, OAs older adults, PCC posterior cingulate cortex, ROC receiver operating characteristics, ROI region of interest, SD standard deviation, SKM sparse k-means, SPL superior parietal lobe, STG superior temporal gyrus, SVCI subcortical vascular cognitive impairment, T tau, TEC transentorhinal cortex, UCSF University of California San Francisco, YAs younger adults
  2. *Additional cut-points are reported in the supplementary material of these studies