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利用数字减影技术对非增强性弥漫性胶质瘤 T2-FLAIR 不匹配进行定量分析。

Quantification of T2-FLAIR Mismatch in Nonenhancing Diffuse Gliomas Using Digital Subtraction.

机构信息

From the UCLA Brain Tumor Imaging Laboratory (N.S.C., F.S., V.L.L., S.O., A.T., J.Y., C.R., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California.

Department of Radiological Sciences (N.S.C., F.S., V.L.L., S.O., A.T., J.Y., C.R., W.B.P., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.

出版信息

AJNR Am J Neuroradiol. 2024 Feb 7;45(2):188-197. doi: 10.3174/ajnr.A8094.

Abstract

BACKGROUND AND PURPOSE

The T2-FLAIR mismatch sign on MR imaging is a highly specific imaging biomarker of isocitrate dehydrogenase ()-mutant astrocytomas, which lack 1p/19q codeletion. However, most studies using the T2-FLAIR mismatch sign have used visual assessment. This study quantified the degree of T2-FLAIR mismatch using digital subtraction of fluid-nulled T2-weighted FLAIR images from non-fluid-nulled T2-weighted images in human nonenhancing diffuse gliomas and then used this information to assess improvements in diagnostic performance and investigate subregion characteristics within these lesions.

MATERIALS AND METHODS

Two cohorts of treatment-naïve, nonenhancing gliomas with known and 1p/19q status were studied ( = 71 from The Cancer Imaging Archive (TCIA) and  = 34 in the institutional cohort). 3D volumes of interest corresponding to the tumor were segmented, and digital subtraction maps of T2-weighted MR imaging minus T2-weighted FLAIR MR imaging were used to partition each volume of interest into a T2-FLAIR mismatched subregion (T2-FLAIR mismatch, corresponding to voxels with positive values on the subtraction maps) and nonmismatched subregion (T2-FLAIR nonmismatch corresponding to voxels with negative values on the subtraction maps). Tumor subregion volumes, percentage of T2-FLAIR mismatch volume, and T2-FLAIR nonmismatch subregion thickness were calculated, and 2 radiologists assessed the T2-FLAIR mismatch sign with and without the aid of T2-FLAIR subtraction maps.

RESULTS

Thresholds of ≥42% T2-FLAIR mismatch volume classified -mutant astrocytoma with a specificity/sensitivity of 100%/19.6% (TCIA) and 100%/31.6% (institutional); ≥25% T2-FLAIR mismatch volume showed 92.0%/32.6% and 100%/63.2% specificity/sensitivity, and ≥15% T2-FLAIR mismatch volume showed 88.0%/39.1% and 93.3%/79.0% specificity/sensitivity. In -mutant astrocytomas with ≥15% T2-FLAIR mismatch volume, T2-FLAIR nonmismatch subregion thickness was negatively correlated with the percentage T2-FLAIR mismatch volume (< .0001) across both cohorts. The percentage T2-FLAIR mismatch volume was higher in grades 3-4 compared with grade 2 -mutant astrocytomas (< .05), and ≥15% T2-FLAIR mismatch volume mutant astrocytomas were significantly larger than <15% T2-FLAIR mismatch volume -mutant astrocytoma (< .05) across both cohorts. When evaluated by 2 radiologists, the additional use of T2-FLAIR subtraction maps did not show a significant difference in interreader agreement, sensitivity, or specificity compared with a separate evaluation of T2-FLAIR and T2-weighted MR imaging alone.

CONCLUSIONS

T2-FLAIR digital subtraction maps may be a useful, automated tool to obtain objective segmentations of tumor subregions based on quantitative thresholds for classifying -mutant astrocytomas using the percentage T2 FLAIR mismatch volume with 100% specificity and exploring T2-FLAIR mismatch/T2-FLAIR nonmismatch subregion characteristics. Conversely, the addition of T2-FLAIR subtraction maps did not enhance the sensitivity or specificity of the visual T2-FLAIR mismatch sign assessment by experienced radiologists.

摘要

背景与目的

磁共振成像(MRI)上的 T2-FLAIR 不匹配征象是异柠檬酸脱氢酶(IDH)突变型星形细胞瘤的高度特异性影像生物标志物,此类肿瘤缺乏 1p/19q 联合缺失。然而,大多数使用 T2-FLAIR 不匹配征象的研究都采用了视觉评估方法。本研究通过对未经强化弥漫性脑胶质瘤患者的非液体抑制 T2 加权 FLAIR 图像减去液体抑制 T2 加权图像进行数字减影,定量评估 T2-FLAIR 不匹配程度,然后利用这些信息评估诊断性能的改善情况,并对这些病变内的亚区特征进行研究。

材料与方法

本研究纳入了两个未经治疗的非强化性胶质瘤队列,这些患者的 IDH 和 1p/19q 状态已知(TCIA 队列中有 71 例,机构队列中有 34 例)。对应肿瘤的 3D 感兴趣区(ROI)被分割,T2 加权 MR 成像减去 T2 加权 FLAIR MR 成像的数字减影图用于将每个 ROI 划分为 T2-FLAIR 不匹配亚区(T2-FLAIR 不匹配,对应于减影图上呈阳性值的体素)和非不匹配亚区(T2-FLAIR 非不匹配,对应于减影图上呈阴性值的体素)。计算肿瘤亚区体积、T2-FLAIR 不匹配体积百分比和 T2-FLAIR 非不匹配亚区厚度,并由 2 位放射科医生独立评估有无 T2-FLAIR 减影图辅助时的 T2-FLAIR 不匹配征象。

结果

TCIA 队列中 T2-FLAIR 不匹配体积百分比≥42%可将 IDH 突变型星形细胞瘤特异性和敏感性分别分类为 100%/19.6%,而机构队列中的特异性和敏感性分别为 100%/31.6%;T2-FLAIR 不匹配体积百分比≥25%时,特异性和敏感性分别为 92.0%/32.6%和 100%/63.2%,T2-FLAIR 不匹配体积百分比≥15%时,特异性和敏感性分别为 88.0%/39.1%和 93.3%/79.0%。在 T2-FLAIR 不匹配体积百分比≥15%的 IDH 突变型星形细胞瘤中,T2-FLAIR 非不匹配亚区厚度与 T2-FLAIR 不匹配体积百分比呈负相关(<.0001),两个队列均如此。与 2 级 IDH 突变型星形细胞瘤相比,3-4 级 IDH 突变型星形细胞瘤的 T2-FLAIR 不匹配体积百分比更高(<.05),并且 T2-FLAIR 不匹配体积百分比≥15%的 IDH 突变型星形细胞瘤明显大于 T2-FLAIR 不匹配体积百分比<15%的 IDH 突变型星形细胞瘤(<.05),两个队列均如此。由 2 位放射科医生评估时,与单独评估 T2-FLAIR 和 T2 加权 MR 成像相比,使用 T2-FLAIR 减影图并不会显著提高读者间一致性、敏感性或特异性。

结论

T2-FLAIR 数字减影图可能是一种有用的自动化工具,可根据 T2-FLAIR 不匹配体积百分比的定量阈值获得肿瘤亚区的客观分割,从而对 IDH 突变型星形细胞瘤进行分类,达到 100%的特异性,并对 T2-FLAIR 不匹配/T2-FLAIR 非不匹配亚区特征进行探索。相反,在经验丰富的放射科医生评估中,添加 T2-FLAIR 减影图并没有提高视觉 T2-FLAIR 不匹配征象评估的敏感性或特异性。

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