Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI

作者全名："Gao, Jueni; Liu, Zhi; Pan, Hongyu; Cao, Xu; Kan, Yubo; Wen, Zhipeng; Chen, Shanxiong; Wen, Ming; Zhang, Liqiang"

作者地址："[Wen, Ming; Zhang, Liqiang] 1 YouYi Rd, Chongqing 400016, Peoples R China; [Chen, Shanxiong] 2 TianSheng Rd, Chongqing 400715, Peoples R China; [Gao, Jueni; Wen, Ming; Zhang, Liqiang] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing, Peoples R China; [Liu, Zhi] Chongqing Hosp Tradit Chinese Med, Dept Nucl Med, Chongqing, Peoples R China; [Pan, Hongyu; Chen, Shanxiong] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China; [Cao, Xu; Kan, Yubo] Chengdu Univ Tradit Chinese Med, Sch Med & Life Sci, Chengdu, Peoples R China; [Wen, Zhipeng] Sichuan Canc Hosp, Dept Radiol, Chengdu, Peoples R China"

通信作者："Wen, M; Zhang, LQ (通讯作者)，1 YouYi Rd, Chongqing 400016, Peoples R China.; Chen, SX (通讯作者)，2 TianSheng Rd, Chongqing 400715, Peoples R China."

来源：JOURNAL OF MAGNETIC RESONANCE IMAGING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001044852300001

JCR分区：Q1

影响因子：3.3

年份：2023

卷号：　

期号：　

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结束页：　

文献类型：Article; Early Access

关键词：CDKN2A; B; astrocytoma; deep learning-based radiomics; radiomics

摘要："Background: Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) homozygous deletion has been verified as an independent and critical biomarker of negative prognosis and short survival in isocitrate dehydrogenase (IDH)-mutant astrocytoma. Therefore, noninvasive and accurate discrimination of CDKN2A/B homozygous deletion status is essential for the clinical management of IDH-mutant astrocytoma patients.Purpose: To develop a noninvasive, robust preoperative model based on MR image features for discriminating CDKN2A/ B homozygous deletion status of IDH-mutant astrocytoma.Study Type: Retrospective.Population: Two hundred fifty-one patients: 107 patients with CDKN2A/B homozygous deletion and 144 patients without CDKN2A/B homozygous deletion.Field Strength/Sequence:3.0 T/1.5 T: Contrast-enhanced T1-weighted spin-echo inversion recovery sequence (CE-T1WI) and T2-weighted fluid-attenuation spin-echo inversion recovery sequence (T2FLAIR).Assessment: A total of 1106 radiomics and 1000 deep learning features extracted from CE-T1WI and T2FLAIR were used to develop models to discriminate the CDKN2A/B homozygous deletion status. Radiomics models, deep learning-based radiomics (DLR) models and the final integrated model combining radiomics features with deep learning features were developed and compared their preoperative discrimination performance.Statistical Testing: Pearson chi-square test and Mann Whitney U test were used for assessing the statistical differences in patients' clinical characteristics. The Delong test compared the statistical differences of receiver operating characteristic (ROC) curves and area under the curve (AUC) of different models. The significance threshold is P < 0.05.Results: The final combined model (training AUC = 0.966; validation AUC = 0.935; test group: AUC = 0.943) out-performed the optimal models based on only radiomics or DLR features (training: AUC = 0.916 and 0.952; validation: AUC = 0.886 and 0.912; test group: AUC = 0.862 and 0.902).Data Conclusion: Whether based on a single sequence or a combination of two sequences, radiomics and DLR models have achieved promising performance in assessing CDKN2A/B homozygous deletion status. However, the final model combining both deep learning and radiomics features from CE-T1WI and T2FLAIR outperformed the optimal radiomics or DLR model."

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