Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas

被引：3

作者：

Ioannidis, Georgios S. ^{[1
]}

Pigott, Laura Elin ^{[2
,3
,4
]}

Iv, Michael ^{[5
]}

Surlan-Popovic, Katarina ^{[6
,7
]}

Wintermark, Max ^{[5
]}

Bisdas, Sotirios ^{[8
,9
]}

Marias, Kostas ^{[1
,10
]}

机构：

[1] Fdn Res & Technol Hellas FORTH, Inst Comp Sci, CBML, Iraklion, Greece

[2] London South Bank Univ, Inst Hlth & Social Care, London, England

[3] UCL, Fac Brain Sci, Queen Sq Inst Neurol, London, England

[4] UCL, Natl Hosp Neurol & Neurosurg, Lysholm Dept Neuroradiol, London, England

[5] Stanford Univ, Dept Radiol, Div Neuroimaging & Neurointervent, Stanford, CA USA

[6] Univ Ljubljana, Fac Med, Dept Radiol, Ljubljana, Slovenia

[7] Univ Med Ctr, Dept Neuroradiol, Ljubljana, Slovenia

[8] UCL, Dept Brain Repair & Rehabil, Queen Sq Inst Neurol, London, England

[9] Univ Coll London NHS Fdn Trust, Natl Hosp Neurol & Neurosurg, Dept Neuroradiol, London, England

[10] Hellen Mediterranean Univ, Dept Elect & Comp Engn, Iraklion, Greece

来源：

FRONTIERS IN NEUROLOGY | 2023年 / 14卷

关键词：

dynamic susceptibility contrast MRI; gliomas; radiogenomics; IDH mutation; generalizability; explainability; LOWER-GRADE GLIOMAS; CT PERFUSION; BRAIN-TUMORS; ACUTE STROKE; CLASSIFICATION; SYSTEM; CANCER;

D O I：

10.3389/fneur.2023.1249452

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

ObjectiveThis study aims to assess the value of biomarker based radiomics to predict IDH mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of primary glioma (WHO grades 2-4) from 3 different centers.MethodsTo quantify the DSC perfusion signal two different mathematical modeling methods were used (Gamma fitting, leakage correction algorithms) considering the assumptions about the compartments contributing in the blood flow between the extra- and intra vascular space.ResultsThe Mean slope of increase (MSI) and the K1 parameter of the bidirectional exchange model exhibited the highest performance with (ACC 74.3% AUROC 74.2%) and (ACC 75% AUROC 70.5%) respectively.ConclusionThe proposed framework on DSC-MRI radiogenomics in gliomas has the potential of becoming a reliable diagnostic support tool exploiting the mathematical modeling of the DSC signal to characterize IDH mutation status through a more reproducible and standardized signal analysis scheme for facilitating clinical translation.

引用

页数：10

共 65 条

[1] Brain Tumor Imaging: Applications of Artificial Intelligence [J].

Afridi, Muhammad ;

Jain, Abhi ;

Aboian, Mariam ;

Payabvash, Seyedmehdi .

SEMINARS IN ULTRASOUND CT AND MRI, 2022, 43 (02) :153-169

[2] Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas [J].

Arita, Hideyuki ;

Kinoshita, Manabu ;

Kawaguchi, Atsushi ;

Takahashi, Masamichi ;

Narita, Yoshitaka ;

Terakawa, Yuzo ;

Tsuyuguchi, Naohiro ;

Okita, Yoshiko ;

Nonaka, Masahiro ;

Moriuchi, Shusuke ;

Takagaki, Masatoshi ;

Fujimoto, Yasunori ;

Fukai, Junya ;

Izumoto, Shuichi ;

Ishibashi, Kenichi ;

Nakajima, Yoshikazu ;

Shofuda, Tomoko ;

Kanematsu, Daisuke ;

Yoshioka, Ema ;

Kodama, Yoshinori ;

Mano, Masayuki ;

Mori, Kanji ;

Ichimura, Koichi ;

Kanemura, Yonehiro .

SCIENTIFIC REPORTS, 2018, 8

[3] Effect of Applying Leakage Correction on rCBV Measurement Derived From DSC-MRI in Enhancing and Nonenhancing Glioma [J].

Arzanforoosh, Fatemeh ;

Croal, Paula L. ;

van Garderen, Karin A. ;

Smits, Marion ;

Chappell, Michael A. ;

Warnert, Esther A. H. .

FRONTIERS IN ONCOLOGY, 2021, 11

[4]

Bai James, 2020, Top Magn Reson Imaging, V29, P71, DOI [10.1097/rmr.0000000000000234, 10.1097/RMR.0000000000000234]

[5]

Barker PB., 2013, CLIN PERFUSION MRI

[6] IDH1 mutant malignant astrocytomas are more amenable to surgical resection and have a survival benefit associated with maximal surgical resection [J].

Beiko, Jason ;

Suki, Dima ;

Hess, Kenneth R. ;

Fox, Benjamin D. ;

Cheung, Vincent ;

Cabral, Matthew ;

Shonka, Nicole ;

Gilbert, Mark R. ;

Sawaya, Raymond ;

Prabhu, Sujit S. ;

Weinberg, Jeffrey ;

Lang, Frederick F. ;

Aldape, Kenneth D. ;

Sulman, Erik P. ;

Rao, Ganesh ;

McCutcheon, Ian E. ;

Cahill, Daniel P. .

NEURO-ONCOLOGY, 2014, 16 (01) :81-91

[7] Noninvasive Determination of IDH and 1p19q Status of Lower-grade Gliomas Using MRI Radiomics: A Systematic Review [J].

Bhandari, A. P. ;

Liong, R. ;

Koppen, J. ;

Murthy, S. V. ;

Lasocki, A. .

AMERICAN JOURNAL OF NEURORADIOLOGY, 2021, 42 (01) :94-101

[8] Perfusion CT in Acute Stroke: A Comprehensive Analysis of Infarct and Penumbra [J].

Bivard, Andrew ;

Levi, Christopher ;

Spratt, Neil ;

Parsons, Mark .

RADIOLOGY, 2013, 267 (02) :543-550

[9] Predictive value of MGMT promoter methylation on the survival of TMZ treated IDH-mutant glioblastoma [J].

Chai, Ruichao ;

Li, Guanzhang ;

Liu, Yuqing ;

Zhang, Kenan ;

Zhao, Zheng ;

Wu, Fan ;

Chang, Yuzhou ;

Pang, Bo ;

Li, Jingjun ;

Li, Yangfang ;

Jiang, Tao ;

Wang, Yongzhi .

CANCER BIOLOGY & MEDICINE, 2021, 18 (01) :271-+

[10] SMOTE: Synthetic minority over-sampling technique [J].

Chawla, Nitesh V. ;

Bowyer, Kevin W. ;

Hall, Lawrence O. ;

Kegelmeyer, W. Philip .

2002, American Association for Artificial Intelligence (16)

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