Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Different FreeSurfer versions might generate different statistical outcomes in case-control comparison studies

P. Filip, P. Bednarik, LE. Eberly, A. Moheet, A. Svatkova, H. Grohn, AF. Kumar, ER. Seaquist, S. Mangia

. 2022 ; 64 (4) : 765-773. [pub] 20220106

Language English Country Germany

Document type Journal Article

Grant support
P41 EB027061 NIBIB NIH HHS - United States
R01DK099137 NIH HHS - United States
UL1TR000114 NIH HHS - United States
P30 NS076408 NINDS NIH HHS - United States
P30 NS076408 NIH HHS - United States
P41 EB015894 NIH HHS - United States
KL2TR000113 NIH HHS - United States
R56 DK099137 NIDDK NIH HHS - United States
P41 EB015894 NIBIB NIH HHS - United States
P41 EB027061 NIH HHS - United States
R01 DK099137 NIDDK NIH HHS - United States
R56DK099137 NIH HHS - United States
UL1 TR000114 NCATS NIH HHS - United States
KL2 TR000113 NCATS NIH HHS - United States

E-resources Online Full text

NLK ProQuest Central from 2002-01-01 to 1 year ago
CINAHL Plus with Full Text (EBSCOhost) from 2008-01-01 to 1 year ago
Medline Complete (EBSCOhost) from 2003-01-01 to 1 year ago
Nursing & Allied Health Database (ProQuest) from 2002-01-01 to 1 year ago
Health & Medicine (ProQuest) from 2002-01-01 to 1 year ago

PURPOSE: Neuroimaging pipelines have long been known to generate mildly differing results depending on various factors, including software version. While considered generally acceptable and within the margin of reasonable error, little is known about their effect in common research scenarios such as inter-group comparisons between healthy controls and various pathological conditions. The aim of the presented study was to explore the differences in the inferences and statistical significances in a model situation comparing volumetric parameters between healthy controls and type 1 diabetes patients using various FreeSurfer versions. METHODS: T1- and T2-weighted structural scans of healthy controls and type 1 diabetes patients were processed with FreeSurfer 5.3, FreeSurfer 5.3 HCP, FreeSurfer 6.0 and FreeSurfer 7.1, followed by inter-group statistical comparison using outputs of individual FreeSurfer versions. RESULTS: Worryingly, FreeSurfer 5.3 detected both cortical and subcortical volume differences out of the preselected regions of interest, but newer versions such as FreeSurfer 5.3 HCP and FreeSurfer 6.0 reported only subcortical differences of lower magnitude and FreeSurfer 7.1 failed to find any statistically significant inter-group differences. CONCLUSION: Since group averages of individual FreeSurfer versions closely matched, in keeping with previous literature, the main origin of this disparity seemed to lie in substantially higher within-group variability in the model pathological condition. Ergo, until validation in common research scenarios as case-control comparison studies is included into the development process of new software suites, confirmatory analyses utilising a similar software based on analogous, but not fully equivalent principles, might be considered as supplement to careful quality control.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22010721
003      
CZ-PrNML
005      
20220506130127.0
007      
ta
008      
220425s2022 gw f 000 0|eng||
009      
AR
024    7_
$a 10.1007/s00234-021-02862-0 $2 doi
035    __
$a (PubMed)34988592
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gw
100    1_
$a Filip, Pavel $u Center for Magnetic Resonance Research (CMRR), University of Minnesota, 2021 Sixth St. SE, Minneapolis, MN, 55455, USA $u Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic
245    10
$a Different FreeSurfer versions might generate different statistical outcomes in case-control comparison studies / $c P. Filip, P. Bednarik, LE. Eberly, A. Moheet, A. Svatkova, H. Grohn, AF. Kumar, ER. Seaquist, S. Mangia
520    9_
$a PURPOSE: Neuroimaging pipelines have long been known to generate mildly differing results depending on various factors, including software version. While considered generally acceptable and within the margin of reasonable error, little is known about their effect in common research scenarios such as inter-group comparisons between healthy controls and various pathological conditions. The aim of the presented study was to explore the differences in the inferences and statistical significances in a model situation comparing volumetric parameters between healthy controls and type 1 diabetes patients using various FreeSurfer versions. METHODS: T1- and T2-weighted structural scans of healthy controls and type 1 diabetes patients were processed with FreeSurfer 5.3, FreeSurfer 5.3 HCP, FreeSurfer 6.0 and FreeSurfer 7.1, followed by inter-group statistical comparison using outputs of individual FreeSurfer versions. RESULTS: Worryingly, FreeSurfer 5.3 detected both cortical and subcortical volume differences out of the preselected regions of interest, but newer versions such as FreeSurfer 5.3 HCP and FreeSurfer 6.0 reported only subcortical differences of lower magnitude and FreeSurfer 7.1 failed to find any statistically significant inter-group differences. CONCLUSION: Since group averages of individual FreeSurfer versions closely matched, in keeping with previous literature, the main origin of this disparity seemed to lie in substantially higher within-group variability in the model pathological condition. Ergo, until validation in common research scenarios as case-control comparison studies is included into the development process of new software suites, confirmatory analyses utilising a similar software based on analogous, but not fully equivalent principles, might be considered as supplement to careful quality control.
650    _2
$a mozek $x diagnostické zobrazování $x patologie $7 D001921
650    _2
$a studie případů a kontrol $7 D016022
650    _2
$a lidé $7 D006801
650    _2
$a počítačové zpracování obrazu $7 D007091
650    12
$a magnetická rezonanční tomografie $x metody $7 D008279
650    12
$a neurozobrazování $x metody $7 D059906
650    _2
$a software $7 D012984
655    _2
$a časopisecké články $7 D016428
700    1_
$a Bednarik, Petr $u Center for Magnetic Resonance Research (CMRR), University of Minnesota, 2021 Sixth St. SE, Minneapolis, MN, 55455, USA $u High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
700    1_
$a Eberly, Lynn E $u Center for Magnetic Resonance Research (CMRR), University of Minnesota, 2021 Sixth St. SE, Minneapolis, MN, 55455, USA $u Division of Biostatistics, School of Public Health, University of Minnesota, Minnesota, MN, USA
700    1_
$a Moheet, Amir $u Department of Medicine, University of Minnesota, Minneapolis, MN, USA
700    1_
$a Svatkova, Alena $u Department of Medicine III, Clinical Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria $u Department of Imaging Methods, Faculty of Medicine, University of Ostrava, Ostrava, Czechia
700    1_
$a Grohn, Heidi $u Center for Magnetic Resonance Research (CMRR), University of Minnesota, 2021 Sixth St. SE, Minneapolis, MN, 55455, USA $u Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
700    1_
$a Kumar, Anjali F $u Department of Medicine, University of Minnesota, Minneapolis, MN, USA
700    1_
$a Seaquist, Elizabeth R $u Department of Medicine, University of Minnesota, Minneapolis, MN, USA
700    1_
$a Mangia, Silvia $u Center for Magnetic Resonance Research (CMRR), University of Minnesota, 2021 Sixth St. SE, Minneapolis, MN, 55455, USA. mangia@umn.edu $1 https://orcid.org/0000000163414516
773    0_
$w MED00003503 $t Neuroradiology $x 1432-1920 $g Roč. 64, č. 4 (2022), s. 765-773
856    41
$u https://pubmed.ncbi.nlm.nih.gov/34988592 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20220425 $b ABA008
991    __
$a 20220506130120 $b ABA008
999    __
$a ok $b bmc $g 1788726 $s 1161919
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 64 $c 4 $d 765-773 $e 20220106 $i 1432-1920 $m Neuroradiology $n Neuroradiology $x MED00003503
GRA    __
$a P41 EB027061 $p NIBIB NIH HHS $2 United States
GRA    __
$a R01DK099137 $p NIH HHS $2 United States
GRA    __
$a UL1TR000114 $p NIH HHS $2 United States
GRA    __
$a P30 NS076408 $p NINDS NIH HHS $2 United States
GRA    __
$a P30 NS076408 $p NIH HHS $2 United States
GRA    __
$a P41 EB015894 $p NIH HHS $2 United States
GRA    __
$a KL2TR000113 $p NIH HHS $2 United States
GRA    __
$a R56 DK099137 $p NIDDK NIH HHS $2 United States
GRA    __
$a P41 EB015894 $p NIBIB NIH HHS $2 United States
GRA    __
$a P41 EB027061 $p NIH HHS $2 United States
GRA    __
$a R01 DK099137 $p NIDDK NIH HHS $2 United States
GRA    __
$a R56DK099137 $p NIH HHS $2 United States
GRA    __
$a UL1 TR000114 $p NCATS NIH HHS $2 United States
GRA    __
$a KL2 TR000113 $p NCATS NIH HHS $2 United States
LZP    __
$a Pubmed-20220425

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...