Clinical trial · Observational
Artificial Intelligence for Help Non-Small Cell Lung Cancer: Measure Cancer Biology and Treatment Response Via Imaging
Artificial Intelligence to Help Non-Small Cell Lung Cancer Patients: Measure Lung Cancer Biology and Treatment Response Via Imaging
- 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)
SALMON is a prospective, multi-center, multi-country, biomarker validation study that synergizes an extensive non-interventional biomarker discovery study on diagnostic images and tissue biopsies of non-small cell lung cancer NSCLC (rATLAS) with a smaller biomarker minimally interventional study on patients with metastases who undergo liquid biopsy and imaging follow-up for 2 years (aRECIST). A total of 1120 patients will be screened to get 1000 participants enrolled in rATLAS, and a subset of 250 participants will be screened to then recruit 150 participants also for aRECIST. The study will end after one visit for participants in rATLAS while there is a 2-years follow-up period for participants in aRECIST. Participants will not receive any treatment specific for this study, but might receive standard of care therapy or investigational products in the framework of another clinical study following the baseline visit. The objectives of optimizing AI based tools for the assessment of EGFR status (rATLAS) and automated Response Evaluation Criteria in Solid Tumours 1.1 (RECIST 1.1) (aRECIST) will be achieved using a trial design that combines a biomarker discovery study design (cross-sectional for rATLAS) with a reader study design (follow-up study in aRECIST). Medical treatments in the aRECIST cohort are not dictated by study protocol, rather determined by the clinicians in line with standard clinical practice.
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 |
|---|---|---|---|
| Non Small Cell Lung Cancer | Lung Non-Small Cell Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Liquid biopsy | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- aRECIST
- description
- Treatment naive patients with metastatic NSCLC (stage four) with life expectancy of more than three months.
- interventionNames
- Procedure: Liquid biopsy
- label
- rATLAS
- description
- Treatment naive patients diagnosed with NSCLC.
Primary outcomes (6)
- measure
- Equivalence between aRECIST and manual RECIST in the evaluation of target lesions at time of study enrolment
- timeFrame
- At time of study enrolment
- description
- Equivalence will be assessed by comparing manual RECIST target response (central readings) with the target response as generated by the automated Radiomics aRECIST workflow. Categorical similarity measures between central panel RECIST and aRECIST will be computed through Cohen's kappa coefficient. aRECIST is considered successful if kappa is at least 0.7 (lower bound), in the full dataset of 150 patients.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Participant must be aged at least 18 years * Willing and able to comply with clinic visits and study-related procedures. * Willing and able to provide signed informed consent. * Participant must be at first diagnosis of NSCLC and have the largest diameter of the primary tumor equal or greater than 2 cm. * Participant must be treatment naïve (includes radiotherapy). * Participant must have received a CT scan for the diagnosis of NSCLC according to "Imaging Protocol" document (Appendix 1). * Participant with confirmed availability of representative tumor specimens in formalin-fixed, paraffin-embedded (FFPE) blocks or ≥25 unstained slides (at least 10 unstained slides). Participant without adequate archival tumor specimens cannot be included Additional inclusion criteria specific to aRECIST cohort: * Participant must be diagnosed with NSCLC Stage IV. * Participant must have a life expectancy ≥ 3 months. * Participant must have at least one lesion that is suitable for accurate repeated assessment (according to RECIST criteria). * Participant must be able to comply with standard of care visits for imaging purposes to follow-up on treatment response. * Participant must need to agree to undergo a liquid biopsy at baseline and at follow-up visits. * Participant must undergo either chemotherapy or immunotherapy after baseline visit, according to SoC. Exclusion Criteria: * Pregnant or breast-feeding participants (to avoid radiation exposure) * Participant is either an employee of Radiomics or the investigational center or an immediate relative of an employee of Radiomics or the investigational center. * Participant with total body CT scan already performed at a different site with acquisition parameters different from those reported in the Imaging Protocol Additional inclusion criteria specific to aRECIST cohort: • Participant who previously underwent or are planned for curable cancer surgery (lobectomy, wedge resection, pneumonectomy) or ablative radiotherapy on metastases.
References
Publications (9)
- BACKGROUNDGridelli C, Rossi A, Carbone DP, Guarize J, Karachaliou N, Mok T, Petrella F, Spaggiari L, Rosell R. Non-small-cell lung cancer. Nat Rev Dis Primers. 2015 May 21;1:15009. doi: 10.1038/nrdp.2015.9. PMID 27188576
- BACKGROUNDGoldstraw P, Ball D, Jett JR, Le Chevalier T, Lim E, Nicholson AG, Shepherd FA. Non-small-cell lung cancer. Lancet. 2011 Nov 12;378(9804):1727-40. doi: 10.1016/S0140-6736(10)62101-0. Epub 2011 May 10. PMID 21565398
- BACKGROUNDDempke WC, Suto T, Reck M. Targeted therapies for non-small cell lung cancer. Lung Cancer. 2010 Mar;67(3):257-74. doi: 10.1016/j.lungcan.2009.10.012. Epub 2009 Nov 14. PMID 19914732
- BACKGROUNDEl-Deiry WS, Goldberg RM, Lenz HJ, Shields AF, Gibney GT, Tan AR, Brown J, Eisenberg B, Heath EI, Phuphanich S, Kim E, Brenner AJ, Marshall JL. The current state of molecular testing in the treatment of patients with solid tumors, 2019. CA Cancer J Clin. 2019 Jul;69(4):305-343. doi: 10.3322/caac.21560. Epub 2019 May 22. PMID 31116423
- BACKGROUNDAerts HJ. The Potential of Radiomic-Based Phenotyping in Precision Medicine: A Review. JAMA Oncol. 2016 Dec 1;2(12):1636-1642. doi: 10.1001/jamaoncol.2016.2631. PMID 27541161
- 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
- BACKGROUNDEisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M, Rubinstein L, Shankar L, Dodd L, Kaplan R, Lacombe D, Verweij J. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009 Jan;45(2):228-47. doi: 10.1016/j.ejca.2008.10.026. PMID 19097774