Format

Send to

Choose Destination
PLoS One. 2011;6(9):e25033. doi: 10.1371/journal.pone.0025033. Epub 2011 Sep 26.

New computer-aided diagnosis of dementia using positron emission tomography: brain regional sensitivity-mapping method.

Author information

1
PET Medical Application Group, Central Research Laboratory, Hamamatsu Photonics K.K., Branch 5000, Hamamatsu, Japan.

Abstract

PURPOSE:

We devised a new computer-aided diagnosis method to segregate dementia using one estimated index (Total Z score) derived from the Brodmann area (BA) sensitivity map on the stereotaxic brain atlas. The purpose of this study is to investigate its accuracy to differentiate patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) from normal adults (NL).

METHODS:

We studied 101 adults (NL: 40, AD: 37, MCI: 24) who underwent (18)FDG positron emission tomography (PET) measurement. We divided NL and AD groups into two categories: a training group with (Category A) and a test group without (Category B) clinical information. In Category A, we estimated sensitivity by comparing the standard uptake value per BA (SUVR) between NL and AD groups. Then, we calculated a summated index (Total Z score) by utilizing the sensitivity-distribution maps and each BA z-score to segregate AD patterns. To confirm the validity of this method, we examined the accuracy in Category B. Finally, we applied this method to MCI patients.

RESULTS:

In Category A, we found that the sensitivity and specificity of differentiation between NL and AD were all 100%. In Category B, those were 100% and 95%, respectively. Furthermore, we found this method attained 88% to differentiate AD-converters from non-converters in MCI group.

CONCLUSIONS:

The present automated computer-aided evaluation method based on a single estimated index provided good accuracy for differential diagnosis of AD and MCI. This good differentiation power suggests its usefulness not only for dementia diagnosis but also in a longitudinal study.

PMID:
21966405
PMCID:
PMC3180278
DOI:
10.1371/journal.pone.0025033
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center