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TRACK-TBI 研究中创伤性脑损伤后脑出血性挫伤的自动测量和结果。

Automated Measurement of Cerebral Hemorrhagic Contusions and Outcomes After Traumatic Brain Injury in the TRACK-TBI Study.

机构信息

Division of Neurocritical Care, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts.

Harvard Medical School, Boston, Massachusetts.

出版信息

JAMA Netw Open. 2024 Aug 1;7(8):e2427772. doi: 10.1001/jamanetworkopen.2024.27772.

Abstract

IMPORTANCE

Because withdrawal of life-sustaining therapy based on perceived poor prognosis is the most common cause of death after moderate or severe traumatic brain injury (TBI), the accuracy of clinical prognoses is directly associated with mortality. Although the location of brain injury is known to be important for determining recovery potential after TBI, the best available prognostic models, such as the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) score, do not currently incorporate brain injury location.

OBJECTIVE

To test whether automated measurement of cerebral hemorrhagic contusion size and location is associated with improved prognostic performance of the IMPACT score.

DESIGN, SETTING, AND PARTICIPANTS: This prognostic cohort study was performed in 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018. Adult participants aged 17 years or older from the US-based Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study with moderate or severe TBI (Glasgow Coma Scale score 3-12) and contusions detected on brain computed tomography (CT) scans were included. The data analysis was performed between January 2023 and February 2024.

EXPOSURES

Labeled contusions detected on CT scans using Brain Lesion Analysis and Segmentation Tool for Computed Tomography (BLAST-CT), a validated artificial intelligence algorithm.

MAIN OUTCOME AND MEASURE

The primary outcome was a Glasgow Outcome Scale-Extended (GOSE) score of 4 or less at 6 months after injury. Whether frontal or temporal lobe contusion volumes improved the performance of the IMPACT score was tested using logistic regression and area under the receiver operating characteristic curve comparisons. Sparse canonical correlation analysis was used to generate a disability heat map to visualize the strongest brainwide associations with outcomes.

RESULTS

The cohort included 291 patients with moderate or severe TBI and contusions (mean [SD] age, 42 [18] years; 221 [76%] male; median [IQR] emergency department arrival Glasgow Coma Scale score, 5 [3-10]). Only temporal contusion volumes improved the discrimination of the IMPACT score (area under the receiver operating characteristic curve, 0.86 vs 0.84; P = .03). The data-derived disability heat map of contusion locations showed that the strongest association with unfavorable outcomes was within the bilateral temporal and medial frontal lobes.

CONCLUSIONS AND RELEVANCE

These findings suggest that CT-based automated contusion measurement may be an immediately translatable strategy for improving TBI prognostic models.

摘要

重要性

由于基于预后不良的生命维持治疗的撤回是中度或重度创伤性脑损伤 (TBI) 后最常见的死亡原因,因此临床预后的准确性直接与死亡率相关。尽管脑损伤的位置对于确定 TBI 后的恢复潜力很重要,但目前最好的预后模型,如国际 TBI 预后和临床试验分析 (IMPACT) 评分,尚未纳入脑损伤位置。

目的

测试自动测量脑内出血性挫伤的大小和位置是否与改善 IMPACT 评分的预后性能有关。

设计、地点和参与者:这是一项预后队列研究,在 2014 年 2 月 26 日至 2018 年 8 月 8 日期间在美国 18 个 1 级创伤中心进行。来自美国转化研究和 TBI 临床知识 (TRACK-TBI) 研究的年龄在 17 岁或以上的成年参与者,具有中度或重度 TBI(格拉斯哥昏迷量表评分 3-12)和脑计算机断层扫描 (CT) 扫描上检测到的挫伤。数据分析于 2023 年 1 月至 2024 年 2 月进行。

暴露

使用 Brain Lesion Analysis and Segmentation Tool for Computed Tomography (BLAST-CT) 对 CT 扫描上的标记挫伤进行检测,这是一种经过验证的人工智能算法。

主要结果和测量

主要结果是损伤后 6 个月时格拉斯哥结局量表-扩展 (GOSE) 评分 4 或更低。使用逻辑回归和接受者操作特征曲线下面积比较测试额叶或颞叶挫伤体积是否改善了 IMPACT 评分的性能。稀疏典型相关分析用于生成残疾热图,以直观地显示与结果最强的脑区关联。

结果

该队列包括 291 名中度或重度 TBI 伴挫伤的患者(平均[标准差]年龄,42[18]岁;221[76%]男性;急诊室到达格拉斯哥昏迷量表评分中位数[四分位数范围],5[3-10])。只有颞叶挫伤体积改善了 IMPACT 评分的区分度(接受者操作特征曲线下面积,0.86 与 0.84;P=0.03)。基于 CT 的自动挫伤测量的残疾热图数据显示,与不良结局最强的关联是双侧颞叶和内侧额叶。

结论和相关性

这些发现表明,基于 CT 的自动挫伤测量可能是改善 TBI 预后模型的一种可立即转化的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cb6/11365003/7bf81b81cf0b/jamanetwopen-e2427772-g001.jpg

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