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Eur Radiol. 2018 May;28(5):2115-2123. doi: 10.1007/s00330-017-5182-4. Epub 2017 Dec 12.
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Radiology. 2018 Mar;286(3):909-917. doi: 10.1148/radiol.2017170349. Epub 2017 Oct 30.
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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.脑肿瘤的放射组学:图像评估、定量特征描述符和机器学习方法。
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5
Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI.使用酰胺质子转移加权(APTw)MRI 预测 II 级胶质瘤的 IDH 突变状态。
Magn Reson Med. 2017 Sep;78(3):1100-1109. doi: 10.1002/mrm.26820. Epub 2017 Jul 16.
6
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Eur J Cancer. 2017 Sep;83:9-18. doi: 10.1016/j.ejca.2017.06.009. Epub 2017 Jul 10.
7
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Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response.复发性胶质母细胞瘤的大规模放射组学分析确定了一种用于分层抗血管生成治疗反应的影像预测指标。
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Insight into the quantitative metrics of chemical exchange saturation transfer (CEST) imaging.深入了解化学交换饱和转移(CEST)成像的定量指标。
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采用酰胺质子转移加权磁共振成像识别治疗后复发性恶性脑胶质瘤:一项基于影像引导立体定向活检的验证研究。

Identifying Recurrent Malignant Glioma after Treatment Using Amide Proton Transfer-Weighted MR Imaging: A Validation Study with Image-Guided Stereotactic Biopsy.

机构信息

Department of Radiology, Johns Hopkins University, Baltimore, Maryland.

Department of Pathology, Johns Hopkins University, Baltimore, Maryland.

出版信息

Clin Cancer Res. 2019 Jan 15;25(2):552-561. doi: 10.1158/1078-0432.CCR-18-1233. Epub 2018 Oct 26.

DOI:10.1158/1078-0432.CCR-18-1233
PMID:30366937
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6335169/
Abstract

PURPOSE

To quantify the accuracy of amide proton transfer-weighted (APTw) MRI for identifying active glioma after treatment via radiographically guided stereotactic tissue validation. Twenty-one patients who were referred for surgery for MRI features concerning for tumor progression versus treatment effect underwent preoperative APTw imaging. Stereotactic biopsy samples were taken from regions of interest with varying APTw signal intensities. The relationship between final clinical pathology and the histopathology of each of the 64 specimens was analyzed relative to APTw results. Analysis of confirmed recurrent tumor or treatment effect tissue was used to perform ROC analysis.

RESULTS

Eighteen of 21 patients had recurrent tumor, and 3 had treatment effect on clinical pathology. In 12 patients, there were multiple histopathologic assignments confirmed within the same tumor. Of the 64 total specimens, 20 specimens were active glioma, 27 mixed active and quiescent glioma, and 17 quiescent/no identifiable tumor. APTw signal intensity and histopathologic assignment, cellularity, and proliferation index had significant positive correlations ( = 0.651, 0.580, and 0.458, respectively; all < 0.001). ROC analysis with a 1.79% APTw intensity cutoff differentiated active from nonactive tumor (AUC of 0.881) with 85.1% sensitivity and 94.1% specificity. Analysis of clinical pathology showed the mean APTw intensity for each patient had 94.4% sensitivity and 100% positive predictive value for identifying recurrent glioma at this cutoff.

CONCLUSIONS

APTw imaging hyperintensity may be a marker of active malignant glioma. It is able to distinguish between regions of heterogeneous abnormality on anatomic brain MRI with high sensitivity and specificity.

摘要

目的

通过影像学引导的立体定向组织验证,定量酰胺质子转移加权(APTw)MRI 识别治疗后活跃性脑胶质瘤的准确性。21 例因 MRI 表现提示肿瘤进展与治疗效果而接受手术的患者进行了术前 APTw 成像。从具有不同 APTw 信号强度的感兴趣区域采集立体定向活检样本。分析与 APTw 结果相关的每个 64 个标本的最终临床病理和组织病理学之间的关系。分析确认的复发性肿瘤或治疗效果组织,以进行 ROC 分析。

结果

21 例患者中有 18 例为复发性肿瘤,3 例为临床病理学治疗效果。在 12 例患者中,同一肿瘤内有多个组织病理学诊断。在 64 个标本中,20 个为活跃性脑胶质瘤,27 个为活跃和静止混合性脑胶质瘤,17 个为静止/无法识别的肿瘤。APTw 信号强度与组织病理学诊断、细胞密度和增殖指数呈显著正相关(分别为 = 0.651、0.580 和 0.458,均<0.001)。APTw 强度为 1.79%的 ROC 分析可区分活跃性和非活跃性肿瘤(AUC 为 0.881),其敏感性为 85.1%,特异性为 94.1%。临床病理学分析表明,在该截点处,每位患者的平均 APTw 强度对识别复发性神经胶质瘤的敏感性为 94.4%,阳性预测值为 100%。

结论

APTw 成像高信号可能是活跃性恶性脑胶质瘤的标志物。它能够以高灵敏度和特异性区分解剖脑 MRI 上不均匀异常的区域。