The emerging potential of quantitative MRI biomarkers for the early prediction of brain metastasis response after stereotactic radiosurgery: a scoping review.
The emerging potential of quantitative MRI biomarkers for the early prediction of brain metastasis response after stereotactic radiosurgery: a scoping review.
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DOI：
10.21037/qims-22-412
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发表时间：
2023-02-01
影响因子：
2.8
通讯作者：
Sun, Xiaonan
中科院分区：
文献类型：
--
作者：
Hu, Jiamiao;Xie, Xuyun;Zhou, Weiwen;Hu, Xiao;Sun, Xiaonan
关键词：
目前，基于临床信息预测脑转移治疗结果的简单预后模型具有主观性和滞后性。因此，我们对多项研究进行了系统回顾，以评估定量磁共振成像（MRI）生物标志物在立体定向放射手术（SRS）脑转移治疗结果早期预测中的潜力。我们系统地检索了PubMed、Embase、Cochrane、Web of Science和Clinical Trials.gov数据库，检索了1991年2月1日至2022年4月11日之间发表的文章，没有语言限制。我们纳入了脑转移患者接受SRS的研究；纳入的患者需要有明确的原发肿瘤病理和完整的影像学资料（srs术前和术后）。我们排除了包括既往手术患者和未包括定期随访或相应MRI扫描的患者的文章。我们确定了2162项研究，其中26项纳入了我们的分析，共涉及1362名参与者。所有26项研究都探讨了相关MRI参数预测脑转移患者接受SRS的预后。根据解剖形态、显微结构、血管和代谢变化与SRS之间的关系，对结果进行了概括。通常，在传统MRI中，有几种基于放射术前放射组学的定量预后模型，可以预测局部脑转移控制下SRS治疗的结果。随着先进MRI的实施，相对表观扩散系数（ADC）、灌注分数(f)、相对脑血容量（rCBV）、相对脑区域血流量（rrCBF）、间质液压力（IFP）、二次时间依赖性渗漏（Ktrans2）、细胞外血管外体积（ve）、胆碱/肌酸（Cho/Cr）、核Overhauser效应（NOE）峰值、和细胞内水交换率常数（kIE）被证实是SRS治疗脑转移的疗效指标。从不同时间点的传统或先进MRI中提取的定量MRI生物标志物，可以分别代表解剖/形态、微结构、血管和代谢的变化，已被提出作为早期预测脑转移患者SRS反应的有希望的标志物。本综述存在一些局限性，包括选择偏倚的风险、研究对象数量有限、总数据的不可比较性以及综述过程的主观性。
At present, the simple prognostic models based on clinical information for predicting the treatment outcomes of brain metastases (BMs) are subjective and delayed. Thus, we performed this systematic review of multiple studies to assess the potential of quantitative magnetic resonance imaging (MRI) biomarkers for the early prediction of treatment outcomes of brain metastases with stereotactic radiosurgery (SRS). We systematically searched the PubMed, Embase, Cochrane, Web of Science, and Clinical Trials.gov databases for articles published between February 1, 1991, and April 11, 2022, with no language restrictions. We included studies involving patients with BMs receiving SRS; the included patients were required to have definite pathology of a primary tumor and complete imaging data (pre- and post-SRS). We excluded the articles that included patients who had undergone previous surgery and those that did not include regular follow-up or corresponding MRI scans. We identified 2,162 studies, of which 26 were included in our analysis, involving a total of 1,362 participants. All 26 studies explored the relevant MRI parameters to predict the prognosis of patients with BMs who received SRS. The outcomes were generalized according to the relationships between the anatomical/morphological, microstructural, vascular, and metabolic changes and SRS. Generally, with traditional MRI, there are several quantitative prognostic models based on preradiosurgical radiomics that predict the outcome of SRS treatment in local BM control. With the implementation of advanced MRI, the relative apparent diffusion coefficient (ADC), perfusion fraction (f), relative cerebral blood volume (rCBV), relative regional cerebral blood flow (rrCBF), interstitial fluid pressure (IFP), quadratic of time-dependent leakage (Ktrans2), extracellular extravascular volume (ve), choline/creatine (Cho/Cr), nuclear Overhauser effect (NOE) peak, and intraextracellular water exchange rate constant (kIE) were confirmed to be indicative of the therapeutic effect of SRS for BMs. Quantitative MRI biomarkers extracted from traditional or advanced MRI at different time points, which can represent the anatomical/morphological, microstructural, vascular, and metabolic changes, respectively, have been proposed as promising markers for the early prediction of SRS response in those with BMs. There are some limitations in this review, including the risk of selection bias, the limited number of study objects, the incomparability of the total data, and the subjectivity of the review process.
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影响因子：
6
作者：
Hlushchuk, Ruslan;Riesterer, Oliver;Djonov, Valentin
通讯作者：
Djonov, Valentin
影响因子：
3.3
作者：
Buckley, David L.;Kershaw, Lucy E.;Stanisz, Greg J.
通讯作者：
Stanisz, Greg J.
影响因子：
4
作者：
Jakubovic, Raphael;Zhou, Stephanie;Sahgal, Arjun
通讯作者：
Sahgal, Arjun
影响因子：
3.7
作者：
Huang J;Milchenko M;Rao YJ;LaMontagne P;Abraham C;Robinson CG;Huang Y;Shimony JS;Rich KM;Benzinger T
通讯作者：
Benzinger T
DOI：
10.1016/s0360-3016(96)00619-0
发表时间：
1997-03-01
影响因子：
7
作者：
Gaspar, L;Scott, C;Byhardt, R
通讯作者：
Byhardt, R