Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas.
Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomas.
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DOI：
10.1038/s41598-018-30273-4
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发表时间：
2018-08-06
影响因子：
4.6
通讯作者：
Kanemura Y
中科院分区：
文献类型：
--
作者：
Arita H;Kinoshita M;Kawaguchi A;Takahashi M;Narita Y;Terakawa Y;Tsuyuguchi N;Okita Y;Nonaka M;Moriuchi S;Takagaki M;Fujimoto Y;Fukai J;Izumoto S;Ishibashi K;Nakajima Y;Shofuda T;Kanematsu D;Yoshioka E;Kodama Y;Mano M;Mori K;Ichimura K;Kanemura Y
肿瘤的分子生物学特征已经成为胶质瘤患者护理的关键步骤。本研究的目的是建立传统的基于MRI的放射组学模型来预测II/III级胶质瘤内的遗传改变，试图在模型中实现病变位置信息，以提高诊断准确性。入组了199例II/III级胶质瘤患者。鉴定了三种分子亚型：IDH 1/2-突变体、具有TERT启动子突变的IDH 1/2-突变体和IDH-野生型。从169个MRI数据集中提取了109个放射组学特征，从199个数据集中提取了位置信息。通过LASSO回归对111个数据集进行遗传改变的预测建模训练，并通过其余58个数据集进行验证。IDH突变检测的准确度为0.82的训练集和0.83的验证集没有病变位置信息。当实施病变位置信息时，训练集的诊断准确性提高到0.85，验证集的诊断准确性提高到0.87。对于预测II/III级胶质瘤的3种分子亚型，训练集的诊断准确率为0.74，采用病变位置信息的验证集的诊断准确率为0.56。传统的基于MRI的放射组学是最有前途的策略之一，可能会导致一个非侵入性的诊断技术的分子特征的II/III级胶质瘤。
Molecular biological characterization of tumors has become a pivotal procedure for glioma patient care. The aim of this study is to build conventional MRI-based radiomics model to predict genetic alterations within grade II/III gliomas attempting to implement lesion location information in the model to improve diagnostic accuracy. One-hundred and ninety-nine grade II/III gliomas patients were enrolled. Three molecular subtypes were identified: IDH1/2-mutant, IDH1/2-mutant with TERT promoter mutation, and IDH-wild type. A total of 109 radiomics features from 169 MRI datasets and location information from 199 datasets were extracted. Prediction modeling for genetic alteration was trained via LASSO regression for 111 datasets and validated by the remaining 58 datasets. IDH mutation was detected with an accuracy of 0.82 for the training set and 0.83 for the validation set without lesion location information. Diagnostic accuracy improved to 0.85 for the training set and 0.87 for the validation set when lesion location information was implemented. Diagnostic accuracy for predicting 3 molecular subtypes of grade II/III gliomas was 0.74 for the training set and 0.56 for the validation set with lesion location information implemented. Conventional MRI-based radiomics is one of the most promising strategies that may lead to a non-invasive diagnostic technique for molecular characterization of grade II/III gliomas.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
5.7
作者：
Drabycz, Sylvia;Roldan, Gloria;Mitchell, J. Ross
通讯作者：
Mitchell, J. Ross
影响因子：
3.5
作者：
Ellingson, B. M.;Lai, A.;Cloughesy, T. F.
通讯作者：
Cloughesy, T. F.
影响因子：
17.1
作者：
Andronesi OC;Kim GS;Gerstner E;Batchelor T;Tzika AA;Fantin VR;Vander Heiden MG;Sorensen AG
通讯作者：
Sorensen AG
影响因子：
45.3
作者：
Cairncross, Gregory;Wang, Meihua;Mehta, Minesh
通讯作者：
Mehta, Minesh