Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis

V. Ravano, M. Andelova, GF. Piredda, S. Sommer, S. Caneschi, L. Roccaro, J. Krasensky, M. Kudrna, T. Uher, RA. Corredor-Jerez, JA. Disselhorst, B. Maréchal, T. Hilbert, JP. Thiran, J. Richiardi, D. Horakova, M. Vaneckova, T. Kober

. 2024 ; 271 (9) : 5944-5957. [pub] 20240713

Jazyk angličtina Země Německo

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc24019108

Grantová podpora
NTC03706118 Roche
NU 22-04-001 Czech Ministry of Health
RVO VFN 64165 Charles University Hospital Prague
Project cooperation LF1 Czech Ministry of Education

E-zdroje Online Plný text

NLK ProQuest Central od 1997-04-01 do Před 1 rokem
Medline Complete (EBSCOhost) od 2000-01-01 do Před 1 rokem
Health & Medicine (ProQuest) od 1997-04-01 do Před 1 rokem

BACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely detection from cross-sectional data at early disease stages could be clinically relevant to inform treatment planning. Here, we propose to use multiparametric, quantitative MRI to allow a better cross-sectional characterization of lesions with different longitudinal phenotypes. METHODS: We analysed T1 and T2 relaxometry maps from a longitudinal cohort of MS patients. Lesions were classified as enlarging, shrinking, new or stable based on their longitudinal volumetric change using a newly developed automated technique. Voxelwise deviations were computed as z-scores by comparing individual patient data to T1, T2 and T2/T1 normative values from healthy subjects. We studied the distribution of microstructural properties inside lesions and within perilesional tissue. RESULTS AND CONCLUSIONS: Stable lesions exhibited the highest T1 and T2 z-scores in lesion tissue, while the lowest values were observed for new lesions. Shrinking lesions presented the highest T1 z-scores in the first perilesional ring while enlarging lesions showed the highest T2 z-scores in the same region. Finally, a classification model was trained to predict the longitudinal lesion type based on microstructural metrics and feature importance was assessed. Z-scores estimated in lesion and perilesional tissue from T1, T2 and T2/T1 quantitative maps carry discriminative and complementary information to classify longitudinal lesion phenotypes, hence suggesting that multiparametric MRI approaches are essential for a better understanding of the pathophysiological mechanisms underlying disease activity in MS lesions.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc24019108
003      
CZ-PrNML
005      
20241024111538.0
007      
ta
008      
241015s2024 gw f 000 0|eng||
009      
AR
024    7_
$a 10.1007/s00415-024-12568-x $2 doi
035    __
$a (PubMed)39003428
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gw
100    1_
$a Ravano, Veronica $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland. veronica.ravano@siemens-healthineers.com $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. veronica.ravano@siemens-healthineers.com $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. veronica.ravano@siemens-healthineers.com $1 https://orcid.org/0000000215329664
245    10
$a Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis / $c V. Ravano, M. Andelova, GF. Piredda, S. Sommer, S. Caneschi, L. Roccaro, J. Krasensky, M. Kudrna, T. Uher, RA. Corredor-Jerez, JA. Disselhorst, B. Maréchal, T. Hilbert, JP. Thiran, J. Richiardi, D. Horakova, M. Vaneckova, T. Kober
520    9_
$a BACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely detection from cross-sectional data at early disease stages could be clinically relevant to inform treatment planning. Here, we propose to use multiparametric, quantitative MRI to allow a better cross-sectional characterization of lesions with different longitudinal phenotypes. METHODS: We analysed T1 and T2 relaxometry maps from a longitudinal cohort of MS patients. Lesions were classified as enlarging, shrinking, new or stable based on their longitudinal volumetric change using a newly developed automated technique. Voxelwise deviations were computed as z-scores by comparing individual patient data to T1, T2 and T2/T1 normative values from healthy subjects. We studied the distribution of microstructural properties inside lesions and within perilesional tissue. RESULTS AND CONCLUSIONS: Stable lesions exhibited the highest T1 and T2 z-scores in lesion tissue, while the lowest values were observed for new lesions. Shrinking lesions presented the highest T1 z-scores in the first perilesional ring while enlarging lesions showed the highest T2 z-scores in the same region. Finally, a classification model was trained to predict the longitudinal lesion type based on microstructural metrics and feature importance was assessed. Z-scores estimated in lesion and perilesional tissue from T1, T2 and T2/T1 quantitative maps carry discriminative and complementary information to classify longitudinal lesion phenotypes, hence suggesting that multiparametric MRI approaches are essential for a better understanding of the pathophysiological mechanisms underlying disease activity in MS lesions.
650    _2
$a lidé $7 D006801
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a dospělí $7 D000328
650    _2
$a longitudinální studie $7 D008137
650    12
$a roztroušená skleróza $x diagnostické zobrazování $x patologie $7 D009103
650    12
$a fenotyp $7 D010641
650    _2
$a lidé středního věku $7 D008875
650    _2
$a mozek $x diagnostické zobrazování $x patologie $7 D001921
650    _2
$a multiparametrická magnetická rezonance $7 D000081364
650    _2
$a progrese nemoci $7 D018450
650    _2
$a průřezové studie $7 D003430
650    _2
$a magnetická rezonanční tomografie $7 D008279
655    _2
$a časopisecké články $7 D016428
700    1_
$a Andelova, Michaela $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic $1 https://orcid.org/0000000238127483
700    1_
$a Piredda, Gian Franco $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $1 https://orcid.org/0000000284496634
700    1_
$a Sommer, Stefan $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Swiss Center for Muscoloskeletal Imaging (SCMI) Balgrist Campus, Zurich, Switzerland $1 https://orcid.org/0000000334841679
700    1_
$a Caneschi, Samuele $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
700    1_
$a Roccaro, Lucia $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
700    1_
$a Krasensky, Jan $u Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic $1 https://orcid.org/0000000256058821 $7 xx0096156
700    1_
$a Kudrna, Matej $u Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
700    1_
$a Uher, Tomas $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic $1 https://orcid.org/0000000331609022 $7 xx0189534
700    1_
$a Corredor-Jerez, Ricardo A $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000281729850
700    1_
$a Disselhorst, Jonathan A $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000229241866
700    1_
$a Maréchal, Bénédicte $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000178662854
700    1_
$a Hilbert, Tom $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000182074908
700    1_
$a Thiran, Jean-Philippe $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000329389657 $7 ntk2010596805
700    1_
$a Richiardi, Jonas $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $1 https://orcid.org/0000000269755634
700    1_
$a Horakova, Dana $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic $1 https://orcid.org/0000000319150036
700    1_
$a Vaneckova, Manuela $u Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic $1 https://orcid.org/0000000168953738
700    1_
$a Kober, Tobias $u Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland $u Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland $u LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland $1 https://orcid.org/0000000175989456
773    0_
$w MED00002835 $t Journal of neurology $x 1432-1459 $g Roč. 271, č. 9 (2024), s. 5944-5957
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39003428 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20241015 $b ABA008
991    __
$a 20241024111532 $b ABA008
999    __
$a ok $b bmc $g 2201747 $s 1231081
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2024 $b 271 $c 9 $d 5944-5957 $e 20240713 $i 1432-1459 $m Journal of neurology $n J Neurol $x MED00002835
GRA    __
$a NTC03706118 $p Roche
GRA    __
$a NU 22-04-001 $p Czech Ministry of Health
GRA    __
$a RVO VFN 64165 $p Charles University Hospital Prague
GRA    __
$a Project cooperation LF1 $p Czech Ministry of Education
LZP    __
$a Pubmed-20241015

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...