Clinical trial · Observational
Cutting-edge IMAGING Technologies to Improve the SAFEty and the Sustainability of LUNG Cancer Screening and the Accuracy of Non-invasive Lung Nodules Characterization
- 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)
Low-dose computed tomography (LDCT) is used in individuals at high risk of developing lung cancer (smokers over 50 years of age), as it allows for the identification of pulmonary nodules, which, in a small percentage of cases, may represent early-stage lung cancer. However, according to LUNG-RADS guidelines, individuals undergoing screening must repeat multiple LDCT scans, as the comparison between successive LDCT scans enables the assessment of existing nodules' progression and the identification of newly developed pulmonary nodules. This results in cumulative exposure to ionizing radiation, increasing the risk of radiation-induced cancers. This study addresses, through the implementation of new imaging techniques utilizing the latest and most advanced technological innovation (high-field 3T Magnetic Resonance Imaging (MRI) with artificial intelligence), the critical challenge of reducing radiation exposure in current LDCT-based screening programs, proposing the use of MRI as an alternative screening method to LDCT.
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 | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Magnetic Resonance Imaging | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- the sensitivity and specificity for lung nodule detection of a Single Breath- Hold Lung non-contrast MRI scan (SBH-Lung-MRI), lasting less than 20 seconds, in comparison to LDCT
- timeFrame
- 3 years
Secondary outcomes (1)
- measure
- the sensitivity and specificity for lung nodule detection of SBH-Lung-MRI, lasting less than 20 seconds, in comparison to two of the most accurate available sequences for MRI lung nodule detection, namely: 2D-UTE and spiral 3D- UTE MRI sequences.
- timeFrame
- 3 years
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 100 Years
Show eligibility criteria text
Inclusion Criteria: * Age ≥ 18 years * Indication to first lung cancer screening with LDCT according to international guidelines * Indication to repeated lung cancer screening with LDCT according to international guidelines Exclusion Criteria: * Age \< 18 years * contraindication to MRI * presence of metallic implants likely to hamper MRI image quality * inability to hold breath for 15-20 seconds * claustrophobia * refusal to participate in the study
References
Publications (9)
- BACKGROUNDNational Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29. PMID 21714641
- BACKGROUNDde Koning HJ, van der Aalst CM, de Jong PA, Scholten ET, Nackaerts K, Heuvelmans MA, Lammers JJ, Weenink C, Yousaf-Khan U, Horeweg N, van 't Westeinde S, Prokop M, Mali WP, Mohamed Hoesein FAA, van Ooijen PMA, Aerts JGJV, den Bakker MA, Thunnissen E, Verschakelen J, Vliegenthart R, Walter JE, Ten Haaf K, Groen HJM, Oudkerk M. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial. N Engl J Med. 2020 Feb 6;382(6):503-513. doi: 10.1056/NEJMoa1911793. Epub 2020 Jan 29. PMID 31995683
- BACKGROUNDPotter AL, Rosenstein AL, Kiang MV, Shah SA, Gaissert HA, Chang DC, Fintelmann FJ, Yang CJ. Association of computed tomography screening with lung cancer stage shift and survival in the United States: quasi-experimental study. BMJ. 2022 Mar 30;376:e069008. doi: 10.1136/bmj-2021-069008. PMID 35354556
- BACKGROUNDChristensen J, Prosper AE, Wu CC, Chung J, Lee E, Elicker B, Hunsaker AR, Petranovic M, Sandler KL, Stiles B, Mazzone P, Yankelevitz D, Aberle D, Chiles C, Kazerooni E. ACR Lung-RADS v2022: Assessment Categories and Management Recommendations. J Am Coll Radiol. 2024 Mar;21(3):473-488. doi: 10.1016/j.jacr.2023.09.009. Epub 2023 Oct 10. PMID 37820837
- BACKGROUNDMcCunney RJ, Li J. Radiation risks in lung cancer screening programs: a comparison with nuclear industry workers and atomic bomb survivors. Chest. 2014 Mar 1;145(3):618-24. doi: 10.1378/chest.13-1420. PMID 24590022
- BACKGROUNDOhno Y, Takenaka D, Yoshikawa T, Yui M, Koyama H, Yamamoto K, Hamabuchi N, Shigemura C, Watanabe A, Ueda T, Ikeda H, Hattori H, Murayama K, Toyama H. Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification. Radiology. 2022 Mar;302(3):697-706. doi: 10.1148/radiol.211254. Epub 2021 Nov 30.