Clinical trial · Observational
A Radiomic Model for Risk of Local Recurrence and DFS for T3 and T4 Non-small Cell Lung Cancer
Development of a Tumor and Peritumor Radiomics-based Model to Predict the High-risk Surgical Margin and Prognosis of T3 and T4 Non-Small Cell Lung Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The investigators retrospectively collected the participants with T3 and T4, N0-2, M0 NSCLC patients resected between January 2013 to December 2021 for training and internal validation. The Clinical data, preoperative laboratory results and images were collected. High-risk margins were defined as R1 or R2 surgical margins or local recurrence during follow-up, and the investigators also collected the disease-free survival time. On the Deepwise multi-modal research platform, the images were semi-automatically segmented and expanded outward by 3mm to obtain the peritumor tissue. PyRadiomics was used to extract the radiomic features. LASSO was used to select the features and tumor radiomics model, peritumor model and combined model were built using 5-fold cross-validation. And it was further tested on the independent cohort. Discrimination was assessed by using the C-index and area under the receiver operating characteristic curve (AUC), sensibility, specificity.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer, Nonsmall Cell | Malignant Lung Neoplasm | CURATED_EXACT | 0.85 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| tumor and peritumor radiomic feature | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- high-risk surgical margin
- description
- High-risk margins were defined as R1 or R2 surgical margins or local recurrence during follow-up.
- interventionNames
- Other: tumor and peritumor radiomic feature
- label
- Low-risk surgical margin
- description
- Low-risk margins were defined as R0 surgical margin meanwhile arising distant metastasis during follow-up.
- interventionNames
- Other: tumor and peritumor radiomic feature
Primary outcomes (1)
- measure
- disease free time and recurrence location
- timeFrame
- until the December 2023
- description
- the time from the surgery time to the recurrence time
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * patients with T3 and T4 stage NSCLC; * available preoperative chest CTE within two weeks of surgery Exclusion Criteria: * inadequate imaging quality resulted from breathing artifact; * without regularly follow-up information on recurrence location and time
References
Publications (13)
- BACKGROUNDWang EH, Corso CD, Rutter CE, Park HS, Chen AB, Kim AW, Wilson LD, Decker RH, Yu JB. Postoperative Radiation Therapy Is Associated With Improved Overall Survival in Incompletely Resected Stage II and III Non-Small-Cell Lung Cancer. J Clin Oncol. 2015 Sep 1;33(25):2727-34. doi: 10.1200/JCO.2015.61.1517. Epub 2015 Jun 22. PMID 26101240
- BACKGROUNDGillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016 Feb;278(2):563-77. doi: 10.1148/radiol.2015151169. Epub 2015 Nov 18. PMID 26579733
- BACKGROUNDHuang Y, Liu Z, He L, Chen X, Pan D, Ma Z, Liang C, Tian J, Liang C. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer. Radiology. 2016 Dec;281(3):947-957. doi: 10.1148/radiol.2016152234. Epub 2016 Jun 27. PMID 27347764
- BACKGROUNDYang H, Wang L, Shao G, Dong B, Wang F, Wei Y, Li P, Chen H, Chen W, Zheng Y, He Y, Zhao Y, Du X, Sun X, Wang Z, Wang Y, Zhou X, Lai X, Feng W, Shen L, Qiu G, Ji Y, Chen J, Jiang Y, Liu J, Zeng J, Wang C, Zhao Q, Yang X, Hu X, Ma H, Chen Q, Chen M, Jiang H, Xu Y. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy. Front Oncol. 2022 Aug 2;12:967360. doi: 10.3389/fonc.2022.967360. eCollection 2022. PMID 35982975
- BACKGROUNDShe Y, He B, Wang F, Zhong Y, Wang T, Liu Z, Yang M, Yu B, Deng J, Sun X, Wu C, Hou L, Zhu Y, Yang Y, Hu H, Dong D, Chen C, Tian J. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study. EBioMedicine. 2022 Dec;86:104364. doi: 10.1016/j.ebiom.2022.104364. Epub 2022 Nov 14. PMID 36395737
- BACKGROUNDSawabata N, Matsumura A, Ohota M, Maeda H, Hirano H, Nakagawa K, Matsuda H; Thoracic Surgery Study Group of Osaka University. Cytologically malignant margins of wedge resected stage I non-small cell lung cancer. Ann Thorac Surg. 2002 Dec;74(6):1953-7. doi: 10.1016/s0003-4975(02)03993-0.