Clinical and Pathological Validation of CT-Based Regional Harmonization Methods of Amyloid PET

被引:0
作者
Kim, Soo-Jong [1 ,2 ,4 ,5 ]
Jang, Hyemin [1 ,2 ,3 ,6 ]
Yoo, Heejin [3 ]
Na, Duk L. [1 ,2 ,4 ,7 ]
Ham, Hongki [1 ,2 ,5 ,6 ]
Kim, Hee Jin [1 ,2 ]
Kim, Jun Pyo [1 ,2 ,3 ]
Farrar, Gill [8 ]
Moon, Seung Hwan [9 ]
Seo, Sang Won [1 ,3 ,4 ,5 ,6 ]
机构
[1] Sungkyunkwan Univ, Samsung Med Ctr, Sch Med, Dept Neurol, Seoul, South Korea
[2] Samsung Med Ctr, Neurosci Ctr, Seoul, South Korea
[3] Samsung Med Ctr, Alzheimers Dis Convergence Res Ctr, Seoul, South Korea
[4] Sungkyunkwan Univ, SAIHST, Dept Hlth Sci & Technol, Seoul, South Korea
[5] Sungkyunkwan Univ, Dept Intelligent Precis Healthcare Convergence, Suwon, South Korea
[6] Sungkyunkwan Univ, SAIHST, Dept Digital Hlth, Seoul, South Korea
[7] Samsung Med Ctr, Stem Cell & Regenerat Med Inst, Seoul, South Korea
[8] GE Healthcare, Pharmaceut Diagnost, Chalfont St Giles, England
[9] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Nucl Med, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
amyloid PET; CT; Centiloid; neuropathological assessments; clinical utility; POSITRON-EMISSION-TOMOGRAPHY; BETA PLAQUES;
D O I
10.1097/RLU.0000000000004937
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: The CT-based regional direct comparison Centiloid (dcCL) method was developed to harmonize and quantify regional beta-amyloid (A beta) burden. In the present study, we aimed to investigate correlations between the CT-based regional dcCL scales and A beta pathological burdens and to validate the clinical utility using thresholds derived from pathological assessment. Patients and Methods: We included a pathological cohort of 63 cases and a clinical cohort of 4062 participants, and obtained modified Consortium to Establish a Registry for Alzheimer's Disease criteria (mCERAD) scores by assessment of neuritic plaque burdens in multiple areas of each cortical region. PET and CT images were processed using the CT-based regional dcCL method to calculate scales in 6 distinct regions. Results: The CT-based regional dcCL scales were correlated with neuritic plaque burdens represented by mCERAD scores, globally and regionally (r = 0.56 similar to 0.76). In addition, striatum dcCL scales reflected A beta involvement in the striatum (P < 0.001). The regional dcCL scales could predict significant A beta deposition in specific brain regions with high accuracy: area under the receiver operating characteristic curve of 0.81-0.97 with an mCERAD cutoff of 1.5 and area under the receiver operating characteristic curve of 0.88-0.93 with an mCERAD cutoff of 0.5. When applying the dcCL thresholds of 1.5 mCERAD scores, the G(-)R(+) group showed lower performances in memory and global cognitive functions and had less hippocampal volume compared with the G(-)R(-) group (P < 0.001). However, when applying the dcCL thresholds of 0.5 mCERAD scores, there were no differences in the global cognitive functions between the 2 groups. Conclusions: The thresholds of regional dcCL scales derived from pathological assessments might provide clinicians with a better understanding of biomarker-guided diagnosis and distinguishable clinical phenotypes, which are particularly useful when harmonizing different PET ligands with only PET/CT.
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页码:1 / 8
页数:8
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