Tags

Type your tag names separated by a space and hit enter

A Semiautomated Method for Quantification of F 18 Florbetapir PET Images.
J Nucl Med 2015; 56(11):1736-41JN

Abstract

PET amyloid imaging is increasingly used in research trials related to Alzheimer disease and has potential as a quantitative biomarker. This study had 3 objectives: first, to describe a semiautomated quantitative method that does not require subject-specific MR imaging scans for estimating F 18 Florbetapir plaque binding using 10-min PET images; second, to evaluate the method's accuracy for identifying positive and negative scans; and third, to correlate derived standardized uptake value ratios to neuropathologic measures of amyloid.

METHODS

The F 18 Florbetapir PET images are initially converted to Montreal Neurologic Institute brain atlas space using an internally developed PET target F 18 Florbetapir template. Subsequently, a single mean cortical standardized uptake value ratio (mcSUVr) is calculated from the mean standardized uptake value of 6 cortical regions normalized to a reference region. Four reference regions were explored: whole cerebellum, cerebellar gray matter, pons, and centrum semiovale. The performance of the resultant mcSUVrs were evaluated in 74 young cognitively normal subjects (age < 50 y) with a negligible likelihood of amyloid β pathology, and in 59 deceased subjects with autopsy-based amyloid β neuritic plaque measure who underwent F 18 Florbetapir PET imaging before death.

RESULTS

Significant correlations were obtained between mcSUVrs and 3 different pathologic measures of amyloid deposition at autopsy using all 4 reference regions, with the whole-cerebellum mcSUVr correlating most strongly across pathologic measures (r = 0.71-0.75, P < 0.0001). Using the whole-cerebellum mcSUVr and a threshold mcSUVr of less than 1.10, 100% of young cognitively normal subjects were correctly classified as amyloid-negative (mcSUVr range, 0.87-1.08). Similarly, 20 of 20 autopsy-negative subjects showed mcSUVrs of 1.10 or less, whereas 38 of 39 pathology-verified amyloid-positive subjects had mcSUVrs of more than 1.10.

CONCLUSION

This semiautomated F 18 Florbetapir PET quantification method yielded mcSUVrs that significantly correlated with measures of amyloid pathology at autopsy. The method also effectively discriminated autopsy-identified amyloid-positive and -negative cases using a whole-cerebellum mcSUVr threshold of 1.10.

Authors+Show Affiliations

Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania joshi@avidrp.com.Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania.Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania.Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania.Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania.Avid Radiopharmaceuticals, Inc., Philadelphia, Pennsylvania.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

26338898

Citation

Joshi, Abhinay D., et al. "A Semiautomated Method for Quantification of F 18 Florbetapir PET Images." Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine, vol. 56, no. 11, 2015, pp. 1736-41.
Joshi AD, Pontecorvo MJ, Lu M, et al. A Semiautomated Method for Quantification of F 18 Florbetapir PET Images. J Nucl Med. 2015;56(11):1736-41.
Joshi, A. D., Pontecorvo, M. J., Lu, M., Skovronsky, D. M., Mintun, M. A., & Devous, M. D. (2015). A Semiautomated Method for Quantification of F 18 Florbetapir PET Images. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine, 56(11), pp. 1736-41. doi:10.2967/jnumed.114.153494.
Joshi AD, et al. A Semiautomated Method for Quantification of F 18 Florbetapir PET Images. J Nucl Med. 2015;56(11):1736-41. PubMed PMID: 26338898.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A Semiautomated Method for Quantification of F 18 Florbetapir PET Images. AU - Joshi,Abhinay D, AU - Pontecorvo,Michael J, AU - Lu,Ming, AU - Skovronsky,Daniel M, AU - Mintun,Mark A, AU - Devous,Michael D,Sr Y1 - 2015/09/03/ PY - 2014/12/23/received PY - 2015/07/09/accepted PY - 2015/9/5/entrez PY - 2015/9/5/pubmed PY - 2016/2/18/medline KW - Alzheimer’s KW - PET KW - florbetapir KW - neuropathology KW - quantification SP - 1736 EP - 41 JF - Journal of nuclear medicine : official publication, Society of Nuclear Medicine JO - J. Nucl. Med. VL - 56 IS - 11 N2 - UNLABELLED: PET amyloid imaging is increasingly used in research trials related to Alzheimer disease and has potential as a quantitative biomarker. This study had 3 objectives: first, to describe a semiautomated quantitative method that does not require subject-specific MR imaging scans for estimating F 18 Florbetapir plaque binding using 10-min PET images; second, to evaluate the method's accuracy for identifying positive and negative scans; and third, to correlate derived standardized uptake value ratios to neuropathologic measures of amyloid. METHODS: The F 18 Florbetapir PET images are initially converted to Montreal Neurologic Institute brain atlas space using an internally developed PET target F 18 Florbetapir template. Subsequently, a single mean cortical standardized uptake value ratio (mcSUVr) is calculated from the mean standardized uptake value of 6 cortical regions normalized to a reference region. Four reference regions were explored: whole cerebellum, cerebellar gray matter, pons, and centrum semiovale. The performance of the resultant mcSUVrs were evaluated in 74 young cognitively normal subjects (age < 50 y) with a negligible likelihood of amyloid β pathology, and in 59 deceased subjects with autopsy-based amyloid β neuritic plaque measure who underwent F 18 Florbetapir PET imaging before death. RESULTS: Significant correlations were obtained between mcSUVrs and 3 different pathologic measures of amyloid deposition at autopsy using all 4 reference regions, with the whole-cerebellum mcSUVr correlating most strongly across pathologic measures (r = 0.71-0.75, P < 0.0001). Using the whole-cerebellum mcSUVr and a threshold mcSUVr of less than 1.10, 100% of young cognitively normal subjects were correctly classified as amyloid-negative (mcSUVr range, 0.87-1.08). Similarly, 20 of 20 autopsy-negative subjects showed mcSUVrs of 1.10 or less, whereas 38 of 39 pathology-verified amyloid-positive subjects had mcSUVrs of more than 1.10. CONCLUSION: This semiautomated F 18 Florbetapir PET quantification method yielded mcSUVrs that significantly correlated with measures of amyloid pathology at autopsy. The method also effectively discriminated autopsy-identified amyloid-positive and -negative cases using a whole-cerebellum mcSUVr threshold of 1.10. SN - 1535-5667 UR - https://www.unboundmedicine.com/medline/citation/26338898/A_Semiautomated_Method_for_Quantification_of_F_18_Florbetapir_PET_Images_ L2 - http://jnm.snmjournals.org/cgi/pmidlookup?view=long&amp;pmid=26338898 DB - PRIME DP - Unbound Medicine ER -