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临床试验/NCT05819905
NCT05819905进行中(未招募)不适用

Prediction of Lung Cancer Characteristics Using PET/CT Radiomics

Poitiers University Hospital1 个研究点 分布在 1 个国家目标入组 600 人开始时间: 2023年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
进行中(未招募)
入组人数
600
试验地点
1
主要终点
prediction of PDL1 expression

研究概览

简要总结

Therapeutic progress for subgroups of Non Small Cell Lung Cancer can largely be attributed to the accumulation of molecular knowledge and the development of new drugs that specifically target molecular abnormalities. An understanding of the immune landscape of tumors, including immune-evasion strategies, has also led to breakthrough therapeutic advances.These new options require prior treatment tumoral sampling to identify patients who have neoplasms with specific genomic aberrations or favorable immune environment. Medical imaging and radiomic approach may provides surrogate markers non invasively.The objective of the present retrospective study is to build and validate a predictive model of common molecular alterations and PD-L1 expression in NSCLC using pre treatment PET/CT derived radiomics.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Histologically proven NSCLCC
  • pre treatment 18F FDG PET/CT
  • available molecular biology and histology results

排除标准

  • non available PET/CT images

结局指标

主要结局

prediction of PDL1 expression

时间窗: 1 month

Evaluation of the performances of PET/CT derived radiomics to predict PDL1 expression \>1% (PDL1 : Programmed death-ligand 1 as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity.

prediction of EGFR genomic alteration

时间窗: 1 month

Evaluation of the performances of PET/CT derived radiomics to predict the presence of EGFR mutation (EGFR: epidermal growth factor receptor, presence /or not of EGFR alteration as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity.

次要结局

  • Prediction of KRAS alteration(1 month)
  • Prediction of BRAF mutation(1 month)
  • Prediction of ALK/ROS translocation(1 month)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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