Prediction of TERTp-mutation status in IDH-wildtype high-grade gliomas using pre-treatment dynamic [(18)F]FET PET radiomics.
Prediction of TERTp-mutation status in IDH-wildtype high-grade gliomas using pre-treatment dynamic [(18)F]FET PET radiomics.
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DOI：
10.1007/s00259-021-05526-6
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发表时间：
2021-12
影响因子：
9.1
通讯作者：
Albert NL
中科院分区：
文献类型：
--
作者：
Li Z;Kaiser L;Holzgreve A;Ruf VC;Suchorska B;Wenter V;Quach S;Herms J;Bartenstein P;Tonn JC;Unterrainer M;Albert NL
To evaluate radiomic features extracted from standard static images (20–40 min p.i.), early summation images (5–15 min p.i.), and dynamic [18F]FET PET images for the prediction of TERTp-mutation status in patients with IDH-wildtype high-grade glioma. A total of 159 patients (median age 60.2 years, range 19–82 years) with newly diagnosed IDH-wildtype diffuse astrocytic glioma (WHO grade III or IV) and dynamic [18F]FET PET prior to surgical intervention were enrolled and divided into a training (n = 112) and a testing cohort (n = 47) randomly. First-order, shape, and texture radiomic features were extracted from standard static (20–40 min summation images; TBR20–40), early static (5–15 min summation images; TBR5–15), and dynamic (time-to-peak; TTP) images, respectively. Recursive feature elimination was used for feature selection by 10-fold cross-validation in the training cohort after normalization, and logistic regression models were generated using the radiomic features extracted from each image to differentiate TERTp-mutation status. The areas under the ROC curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive value were calculated to illustrate diagnostic power in both the training and testing cohort. The TTP model comprised nine selected features and achieved highest predictability of TERTp-mutation with an AUC of 0.82 (95% confidence interval 0.71–0.92) and sensitivity of 92.1% in the independent testing cohort. Weak predictive capability was obtained in the TBR5–15 model, with an AUC of 0.61 (95% CI 0.42–0.80) in the testing cohort, while no predictive power was observed in the TBR20–40 model. Radiomics based on TTP images extracted from dynamic [18F]FET PET can predict the TERTp-mutation status of IDH-wildtype diffuse astrocytic high-grade gliomas with high accuracy preoperatively. The online version contains supplementary material available at 10.1007/s00259-021-05526-6.
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DOI：
10.1056/nejmoa1407279
发表时间：
2015-06-25
期刊：
The New England journal of medicine
影响因子：
--
作者：
Eckel-Passow JE;Lachance DH;Molinaro AM;Walsh KM;Decker PA;Sicotte H;Pekmezci M;Rice T;Kosel ML;Smirnov IV;Sarkar G;Caron AA;Kollmeyer TM;Praska CE;Chada AR;Halder C;Hansen HM;McCoy LS;Bracci PM;Marshall R;Zheng S;Reis GF;Pico AR;O'Neill BP;Buckner JC;Giannini C;Huse JT;Perry A;Tihan T;Berger MS;Chang SM;Prados MD;Wiemels J;Wiencke JK;Wrensch MR;Jenkins RB
通讯作者：
Jenkins RB
影响因子：
4.7
作者：
Fang S;Fan Z;Sun Z;Li Y;Liu X;Liang Y;Liu Y;Zhou C;Zhu Q;Zhang H;Li T;Li S;Jiang T;Wang Y;Wang L
通讯作者：
Wang L
影响因子：
2.8
作者：
Jiang, Chendan;Kong, Ziren;Ma, Wenbin
通讯作者：
Ma, Wenbin
影响因子：
15.9
作者：
Kunz, Mathias;Albert, Nathalie Lisa;Thon, Niklas
通讯作者：
Thon, Niklas
影响因子：
15.9
作者：
Albert, Nathalie L.;Weller, Michael;Tonn, Joerg C.
通讯作者：
Tonn, Joerg C.