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介入放射学在临床试验团队中的价值:来自 BATTLE 肺癌试验的经验。

The value of interventional radiology in clinical trial teams: experience from the BATTLE lung cancer trials.

机构信息

Department of Interventional Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Department of Thoracic/Head & Neck Medical Oncology the University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

出版信息

Clin Radiol. 2021 Feb;76(2):155.e25-155.e34. doi: 10.1016/j.crad.2020.09.024. Epub 2020 Oct 22.

Abstract

AIM

To report on the multidisciplinary approach, focusing specifically on the role of the interventional radiologist (IR), used to support the Biomarker-integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) and BATTLE-2 trials.

MATERIALS AND METHODS

Patients who underwent percutaneous image-guided biopsy for the BATTLE and BATTLE-2 trials were reviewed. A radiology-based, three-point, lesion-scoring system was developed and used by two IRs. Lesions were given a score of 3 (most likely to yield sufficient material for biomarker analysis) if they met the following criteria: size >2 cm, solid mass, demonstrated imaging evidence of viability, and were technically easy to sample. Lesions not meeting all four criteria were scored 2 with the missing criteria noted as negative factors. Lesions considered to have risks that outweighed potential benefits receive a score of 1 and were not biopsied. Univariate and multivariate analyses were performed to evaluate the score's ability to predict successful yield for biomarker adequacy.

RESULTS

A total of 555 biopsies were performed. The overall yield for analysis of the required biomarkers was 86.1% (478/555), and 84% (268/319) and 88.9% (210/236) for BATTLE and BATTLE-2, respectively (p=0.09). Lesions receiving a score of 3 were adequate for biomarker analysis in 89% of cases. Lesions receiving a score of 2 with more than two negative factors were adequate for molecular analysis in 69.2% (IR1, p=0.03) and 74% (IR2, p=0.04) of cases. The two IRs scored 78.4% of the lesions the same indicating moderate agreement (kappa=0.55; 95% confidence interval [CI]: 0.48, 0.61).

CONCLUSIONS

IRs add value to clinical trial teams by optimising lesions selected for biopsy and biomarker analysis.

摘要

目的

报告多学科方法,特别关注介入放射学家(IR)的作用,用于支持肺癌消除的生物标志物综合靶向治疗(BATTLE)和 BATTLE-2 试验。

材料与方法

回顾了参与 BATTLE 和 BATTLE-2 试验的经皮影像引导活检的患者。开发了一种基于放射学的三点病变评分系统,并由两名 IR 使用。如果满足以下标准,则将病变评为 3 分(最有可能获得足够的生物标志物分析材料):大小>2cm,实体肿块,具有影像学活力证据,且易于技术采样。不符合所有四个标准的病变评分为 2 分,并注明缺失标准为负因素。认为风险超过潜在益处的病变评分为 1 分,不予活检。进行单变量和多变量分析以评估评分预测生物标志物充分性的能力。

结果

共进行了 555 次活检。所需生物标志物分析的总体产量为 86.1%(478/555),BATTLE 和 BATTLE-2 分别为 84%(268/319)和 88.9%(210/236)(p=0.09)。评分 3 的病变有 89%的情况下适合进行生物标志物分析。评分 2 且有两个以上负因素的病变在分子分析中的成功率为 69.2%(IR1,p=0.03)和 74%(IR2,p=0.04)。两位 IR 对 78.4%的病变评分相同,表明中度一致性(kappa=0.55;95%置信区间[CI]:0.48,0.61)。

结论

IR 通过优化选择用于活检和生物标志物分析的病变,为临床试验团队增加了价值。

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