-
Je něco špatně v tomto záznamu ?
Diffuse glioma molecular profiling with arterial spin labeling and dynamic susceptibility contrast perfusion MRI: A comparative study
Y. Prysiazhniuk, A. Server, H. Leske, Ø. Bech-Aase, E. Helseth, RS. Eijgelaar, E. Fuster-García, P. Brandal, A. Bjørnerud, J. Otáhal, J. Petr, W. Nordhøy
Status neindexováno Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2019
PubMed Central
od 2019
Oxford Journals Open Access Collection
od 2019-05-01
ROAD: Directory of Open Access Scholarly Resources
od 2019
PubMed
39036439
DOI
10.1093/noajnl/vdae113
Knihovny.cz E-zdroje
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Evaluation of molecular markers (IDH, pTERT, 1p/19q codeletion, and MGMT) in adult diffuse gliomas is crucial for accurate diagnosis and optimal treatment planning. Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labeling (ASL) perfusion MRI techniques have both shown good performance in classifying molecular markers, however, their performance has not been compared side-by-side. METHODS: Pretreatment MRI data from 90 patients diagnosed with diffuse glioma (54 men/36 female, 53.1 ± 15.5 years, grades 2-4) were retrospectively analyzed. DSC-derived normalized cerebral blood flow/volume (nCBF/nCBV) and ASL-derived nCBF in tumor and perifocal edema were analyzed in patients with available IDH-mutation (n = 67), pTERT-mutation (n = 39), 1p/19q codeletion (n = 33), and MGMT promoter methylation (n = 31) status. Cross-validated uni- and multivariate logistic regression models assessed perfusion parameters' performance in molecular marker detection. RESULTS: ASL and DSC perfusion parameters in tumor and edema distinguished IDH-wildtype (wt) and pTERT-wt tumors from mutated ones. Univariate classification performance was comparable for ASL-nCBF and DSC-nCBV in IDH (maximum AUROCC 0.82 and 0.83, respectively) and pTERT (maximum AUROCC 0.70 and 0.81, respectively) status differentiation. The multivariate approach improved IDH (DSC-nCBV AUROCC 0.89) and pTERT (ASL-nCBF AUROCC 0.8 and DSC-nCBV AUROCC 0.86) classification. However, ASL and DSC parameters could not differentiate 1p/19q codeletion or MGMT promoter methylation status. Positive correlations were found between ASL-nCBF and DSC-nCBV/-nCBF in tumor and edema. CONCLUSIONS: ASL is a viable gadolinium-free replacement for DSC for molecular characterization of adult diffuse gliomas.
Center for Lifespan Changes in Brain and Cognition University of Oslo Oslo Norway
Department of Neurosurgery Amsterdam University Medical Center Amsterdam The Netherlands
Department of Neurosurgery Oslo University Hospital Oslo Norway
Department of Oncology Oslo University Hospital Oslo Norway
Department of Pathology Oslo University Hospital Oslo Norway
Department of Pathophysiology 2nd Faculty of Medicine Charles University Prague The Czech Republic
Institute of Clinical Medicine Faculty of Medicine University of Oslo Oslo Norway
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24018273
- 003
- CZ-PrNML
- 005
- 20241016081828.0
- 007
- ta
- 008
- 241008s2024 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/noajnl/vdae113 $2 doi
- 035 __
- $a (PubMed)39036439
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Prysiazhniuk, Yeva $u Department of Pathophysiology, Second Faculty of Medicine, Charles University, Prague, The Czech Republic $1 https://orcid.org/0000000173841693
- 245 10
- $a Diffuse glioma molecular profiling with arterial spin labeling and dynamic susceptibility contrast perfusion MRI: A comparative study / $c Y. Prysiazhniuk, A. Server, H. Leske, Ø. Bech-Aase, E. Helseth, RS. Eijgelaar, E. Fuster-García, P. Brandal, A. Bjørnerud, J. Otáhal, J. Petr, W. Nordhøy
- 520 9_
- $a BACKGROUND: Evaluation of molecular markers (IDH, pTERT, 1p/19q codeletion, and MGMT) in adult diffuse gliomas is crucial for accurate diagnosis and optimal treatment planning. Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labeling (ASL) perfusion MRI techniques have both shown good performance in classifying molecular markers, however, their performance has not been compared side-by-side. METHODS: Pretreatment MRI data from 90 patients diagnosed with diffuse glioma (54 men/36 female, 53.1 ± 15.5 years, grades 2-4) were retrospectively analyzed. DSC-derived normalized cerebral blood flow/volume (nCBF/nCBV) and ASL-derived nCBF in tumor and perifocal edema were analyzed in patients with available IDH-mutation (n = 67), pTERT-mutation (n = 39), 1p/19q codeletion (n = 33), and MGMT promoter methylation (n = 31) status. Cross-validated uni- and multivariate logistic regression models assessed perfusion parameters' performance in molecular marker detection. RESULTS: ASL and DSC perfusion parameters in tumor and edema distinguished IDH-wildtype (wt) and pTERT-wt tumors from mutated ones. Univariate classification performance was comparable for ASL-nCBF and DSC-nCBV in IDH (maximum AUROCC 0.82 and 0.83, respectively) and pTERT (maximum AUROCC 0.70 and 0.81, respectively) status differentiation. The multivariate approach improved IDH (DSC-nCBV AUROCC 0.89) and pTERT (ASL-nCBF AUROCC 0.8 and DSC-nCBV AUROCC 0.86) classification. However, ASL and DSC parameters could not differentiate 1p/19q codeletion or MGMT promoter methylation status. Positive correlations were found between ASL-nCBF and DSC-nCBV/-nCBF in tumor and edema. CONCLUSIONS: ASL is a viable gadolinium-free replacement for DSC for molecular characterization of adult diffuse gliomas.
- 590 __
- $a NEINDEXOVÁNO
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Server, Andres $u Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway $1 https://orcid.org/0000000258844527
- 700 1_
- $a Leske, Henning $u Department of Pathology, Oslo University Hospital, Oslo, Norway $1 https://orcid.org/0000000230578730
- 700 1_
- $a Bech-Aase, Øystein $u Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- 700 1_
- $a Helseth, Eirik $u Department of Neurosurgery, Oslo University Hospital, Oslo, Norway $u Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway $1 https://orcid.org/0000000157586485
- 700 1_
- $a Eijgelaar, Roelant Sjouke $u Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, The Netherlands $1 https://orcid.org/0000000217654444
- 700 1_
- $a Fuster-García, Elies $u Biomedical Data Science Laboratory, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, València, Spain $1 https://orcid.org/0000000207168960
- 700 1_
- $a Brandal, Petter $u Department of Oncology, Oslo University Hospital, Oslo, Norway $u Section for Cancer Cytogenetics, Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway $1 https://orcid.org/000000030259495X
- 700 1_
- $a Bjørnerud, Atle $u Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway $u Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway $1 https://orcid.org/0000000234863141
- 700 1_
- $a Otáhal, Jakub $u Department of Pathophysiology, Second Faculty of Medicine, Charles University, Prague, The Czech Republic $1 https://orcid.org/0000000159445803 $7 xx0105144
- 700 1_
- $a Petr, Jan $u Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany $u Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, The Netherlands $1 https://orcid.org/0000000232016002 $7 xx0143826
- 700 1_
- $a Nordhøy, Wibeke $u Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway $1 https://orcid.org/0000000312324187
- 773 0_
- $w MED00207627 $t Neuro-oncology advances $x 2632-2498 $g Roč. 6, č. 1 (2024), s. vdae113
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/39036439 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20241008 $b ABA008
- 991 __
- $a 20241016081823 $b ABA008
- 999 __
- $a ok $b bmc $g 2196507 $s 1230224
- BAS __
- $a 3
- BAS __
- $a PreBMC-PubMed-not-MEDLINE
- BMC __
- $a 2024 $b 6 $c 1 $d vdae113 $e 20240705 $i 2632-2498 $m Neuro-oncology advances $n Neurooncol Adv $x MED00207627
- LZP __
- $a Pubmed-20241008