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磁共振成像的肿瘤生境分析可区分立体定向放射外科治疗脑转移瘤后肿瘤进展与放射性坏死。

Tumor habitat analysis by magnetic resonance imaging distinguishes tumor progression from radiation necrosis in brain metastases after stereotactic radiosurgery.

机构信息

Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.

DYNAPEX LLC, Seoul, Republic of Korea.

出版信息

Eur Radiol. 2022 Jan;32(1):497-507. doi: 10.1007/s00330-021-08204-1. Epub 2021 Aug 6.

Abstract

OBJECTIVES

The identification of viable tumor after stereotactic radiosurgery (SRS) is important for future targeted therapy. This study aimed to determine whether tumor habitat on structural and physiologic MRI can distinguish viable tumor from radiation necrosis of brain metastases after SRS.

METHOD

Multiparametric contrast-enhanced T1- and T2-weighted imaging, apparent diffusion coefficient (ADC), and cerebral blood volume (CBV) were obtained from 52 patients with 69 metastases, showing enlarging enhancing masses after SRS. Voxel-wise clustering identified three structural MRI habitats (enhancing, solid low-enhancing, and nonviable) and three physiologic MRI habitats (hypervascular cellular, hypovascular cellular, and nonviable). Habitat-based predictors for viable tumor or radiation necrosis were identified by logistic regression. Performance was validated using the area under the curve (AUC) of the receiver operating characteristics curve in an independent dataset with 24 patients.

RESULTS

None of the physiologic MRI habitats was indicative of viable tumor. Viable tumor was predicted by a high-volume fraction of solid low-enhancing habitat (low T2-weighted and low CE-T1-weighted values; odds ratio [OR] 1.74, p <.001) and a low-volume fraction of nonviable tissue habitat (high T2-weighted and low CE-T1-weighted values; OR 0.55, p <.001). Combined structural MRI habitats yielded good discriminatory ability in both development (AUC 0.85, 95% confidence interval [CI]: 0.77-0.94) and validation sets (AUC 0.86, 95% CI:0.70-0.99), outperforming single ADC (AUC 0.64) and CBV (AUC 0.58) values. The site of progression matched with the solid low-enhancing habitat (72%, 8/11).

CONCLUSION

Solid low-enhancing and nonviable tissue habitats on structural MRI can help to localize viable tumor in patients with brain metastases after SRS.

KEY POINTS

• Structural MRI habitats helped to differentiate viable tumor from radiation necrosis. • Solid low-enhancing habitat was most helpful to find viable tumor. • Providing spatial information, the site of progression matched with solid low-enhancing habitat.

摘要

目的

立体定向放射外科(SRS)后识别存活肿瘤对于未来的靶向治疗很重要。本研究旨在确定结构和功能 MRI 上的肿瘤生境是否可以区分 SRS 后脑转移瘤的存活肿瘤与放射性坏死。

方法

52 例 69 个转移瘤患者在 SRS 后出现增大的强化肿块,获得多参数对比增强 T1 加权和 T2 加权成像、表观扩散系数(ADC)和脑血容量(CBV)。体素聚类确定了三种结构 MRI 生境(强化、实性低强化和无活性)和三种生理 MRI 生境(血管丰富的细胞、低血管丰富的细胞和无活性)。通过逻辑回归确定基于生境的预测因子,用于预测存活肿瘤或放射性坏死。使用来自 24 例患者的独立数据集的接收者操作特征曲线下面积(AUC)验证性能。

结果

无一种生理 MRI 生境提示为存活肿瘤。高比例的实性低强化生境(低 T2 加权和低 CE-T1 加权值;优势比 [OR] 1.74,p <.001)和低比例的无活性组织生境(高 T2 加权和低 CE-T1 加权值;OR 0.55,p <.001)可预测存活肿瘤。结构 MRI 联合生境在发展数据集(AUC 0.85,95%置信区间 [CI]:0.77-0.94)和验证数据集(AUC 0.86,95%CI:0.70-0.99)中均具有良好的区分能力,优于单个 ADC(AUC 0.64)和 CBV(AUC 0.58)值。进展部位与实性低强化生境相匹配(72%,8/11)。

结论

SRS 后脑转移瘤患者结构 MRI 上的实性低强化和无活性组织生境有助于定位存活肿瘤。

关键点

  • 结构 MRI 生境有助于区分存活肿瘤和放射性坏死。

  • 实性低强化生境对发现存活肿瘤最有帮助。

  • 提供空间信息,进展部位与实性低强化生境相匹配。

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