Abstract
The automated volumetric output of FreeSurfer and Individual Brain Atlases using Statistical Parametric Mapping (IBASPM), two widely used and well published software packages, was examined for accuracy and consistency relative to auto-assisted manual (AAM) tracings (i.e., manual correction of automated output) when measuring the caudate, putamen, amygdala, and hippocampus in the baseline scans of 120 HIV-infected patients (86.7% male, 47.3 ± 6.3. y.o., mean HIV duration 12.0 ± 6.3. years) from the NIH-funded HIV Neuroimaging Consortium (HIVNC) cohort. The data was examined for accuracy and consistency relative to auto-assisted manual tracing, and construct validity was assessed by correlating automated and AAM volumetric measures with relevant clinical measures of HIV progression. When results were averaged across all patients in the eight structures examined, FreeSurfer achieved lower absolute volume difference in five, higher sensitivity in seven, and higher spatial overlap in all eight structures. Additionally, FreeSurfer results exhibited less variability in all measures. Output from both methods identified discrepant correlations with clinical measures of HIV progression relative to AAM segmented data. Overall, FreeSurfer proved more effective in the context of subcortical volumetry in HIV-patients, particularly in a multisite cohort study such as this. These findings emphasize that regardless of the automated method used, visual inspection of segmentation output, along with manual correction if necessary, remains critical to ensuring the validity of reported results.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1334-1344 |
| Number of pages | 11 |
| Journal | NeuroImage |
| Volume | 51 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 1 2010 |
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ASJC Scopus subject areas
- Neurology
- Cognitive Neuroscience
Cite this
Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study. / Dewey, Jeffrey; Hana, George; Russell, Troy; Price, Jared; McCaffrey, Daniel; Harezlak, Jaroslaw; Sem, Ekta; Anyanwu, Joy C.; Guttmann, Charles R.; Navia, Bradford; Cohen, Ronald; Tate, David F.
In: NeuroImage, Vol. 51, No. 4, 01.07.2010, p. 1334-1344.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study
AU - Dewey, Jeffrey
AU - Hana, George
AU - Russell, Troy
AU - Price, Jared
AU - McCaffrey, Daniel
AU - Harezlak, Jaroslaw
AU - Sem, Ekta
AU - Anyanwu, Joy C.
AU - Guttmann, Charles R.
AU - Navia, Bradford
AU - Cohen, Ronald
AU - Tate, David F.
PY - 2010/7/1
Y1 - 2010/7/1
N2 - The automated volumetric output of FreeSurfer and Individual Brain Atlases using Statistical Parametric Mapping (IBASPM), two widely used and well published software packages, was examined for accuracy and consistency relative to auto-assisted manual (AAM) tracings (i.e., manual correction of automated output) when measuring the caudate, putamen, amygdala, and hippocampus in the baseline scans of 120 HIV-infected patients (86.7% male, 47.3 ± 6.3. y.o., mean HIV duration 12.0 ± 6.3. years) from the NIH-funded HIV Neuroimaging Consortium (HIVNC) cohort. The data was examined for accuracy and consistency relative to auto-assisted manual tracing, and construct validity was assessed by correlating automated and AAM volumetric measures with relevant clinical measures of HIV progression. When results were averaged across all patients in the eight structures examined, FreeSurfer achieved lower absolute volume difference in five, higher sensitivity in seven, and higher spatial overlap in all eight structures. Additionally, FreeSurfer results exhibited less variability in all measures. Output from both methods identified discrepant correlations with clinical measures of HIV progression relative to AAM segmented data. Overall, FreeSurfer proved more effective in the context of subcortical volumetry in HIV-patients, particularly in a multisite cohort study such as this. These findings emphasize that regardless of the automated method used, visual inspection of segmentation output, along with manual correction if necessary, remains critical to ensuring the validity of reported results.
AB - The automated volumetric output of FreeSurfer and Individual Brain Atlases using Statistical Parametric Mapping (IBASPM), two widely used and well published software packages, was examined for accuracy and consistency relative to auto-assisted manual (AAM) tracings (i.e., manual correction of automated output) when measuring the caudate, putamen, amygdala, and hippocampus in the baseline scans of 120 HIV-infected patients (86.7% male, 47.3 ± 6.3. y.o., mean HIV duration 12.0 ± 6.3. years) from the NIH-funded HIV Neuroimaging Consortium (HIVNC) cohort. The data was examined for accuracy and consistency relative to auto-assisted manual tracing, and construct validity was assessed by correlating automated and AAM volumetric measures with relevant clinical measures of HIV progression. When results were averaged across all patients in the eight structures examined, FreeSurfer achieved lower absolute volume difference in five, higher sensitivity in seven, and higher spatial overlap in all eight structures. Additionally, FreeSurfer results exhibited less variability in all measures. Output from both methods identified discrepant correlations with clinical measures of HIV progression relative to AAM segmented data. Overall, FreeSurfer proved more effective in the context of subcortical volumetry in HIV-patients, particularly in a multisite cohort study such as this. These findings emphasize that regardless of the automated method used, visual inspection of segmentation output, along with manual correction if necessary, remains critical to ensuring the validity of reported results.
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UR - http://www.scopus.com/inward/citedby.url?scp=77952885506&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2010.03.033
DO - 10.1016/j.neuroimage.2010.03.033
M3 - Article
C2 - 20338250
AN - SCOPUS:77952885506
VL - 51
SP - 1334
EP - 1344
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
IS - 4
ER -