Clinical trial · Observational
Prognostic Value of Lung Cancer MicroAnatomy in 3D
Prognostic Value of Lung Cancer MicroAnatomy in Three Dimensions: a Micro-CT Based Trial
- 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)
Micro-computed tomography (micro-CT) is a novel biomedical non-destructive, slide-free digital imaging modality, which enables the rapid acquisition of accurate high-resolution, volumetric images of intact surgical tissue specimens. This imaging modality provides microscopic level of detail of intact tissues in three-dimensions without requiring any specimen preparation. Its non-destructive nature and the ongoing enhancement of imaging resolution and contrast renders micro-CT imaging particularly well suited for microanatomic studies in basic research across a wide range of interventional medical disciplines, including oncology. Our proposal concerns a multidisciplinary basic research effort which aims to facilitate the effective identification of different -and maybe challenging to differentiate- lung cancer patterns based on 3D X-ray histology. As an alternative for the use of hematoxylin \& eosin (H\&E) slides, optimized micro-CT scanning of soft tissues emerges as a promising tool to enable non-invasive 3D X-ray histology of formalin-fixed and paraffin-embedded (FFPE) lung cancer specimens. The objective of our proposal is to offer novel insights into the complex architecture of each lung cancer subtype after imaging FFPE surgical specimens, resected from lung cancer surgeries. The investigators aim to generate 3D datasets of FFPE lung cancer tissues which will be combined with the corresponding conventional 2D histology slides. Our study will be also adequately empowered to identify particular differences in morphometric measurements according to each particular lung cancer growth pattern. Finally, this proposal aims to delineate the different 3D microanatomy and morphology of some patterns that are challenging to interpret and differentiate through traditional 2D histological evaluation, such as papillary and lepidic adenocarcinoma growth patterns. Classification of the histological subtypes based on 2D histology sections can be ambiguous, as shown by suboptimal inter-observer consensus when determining predominant histological subtypes in FFPE lung adenocarcinoma tissue specimens. Hence, micro-CT-based 3D imaging of the lung specimens could aid classification of histological subtypes by providing more comprehensive sampling of the entire tissue block and yielding detail relevant for subtype classification that might not be visible in 2D sections alone.
Conditions
Conditions (6)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adenocarcinoma of Lung | Lung Adenocarcinoma | ALIAS | 0.90 |
| Digital Pathology | — | UNRESOLVED | — |
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Micro-computed Tomography | — | UNRESOLVED | — |
| Pathology | — | UNRESOLVED | — |
| X-ray Histology | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| micro-computed tomography scanning of lung tissue specimens | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Patients with lung cancer
- description
- Patients with a presumptive diagnosis of lung cancer for whom surgical resection or sampling will be clinically indicated according to the standard practices of the Cardiothoracic Department of AHEPA University Hospital of Thessaloniki, will be enrolled in this prospective study once they give written informed consent for specimen imaging. Surgical resections will be performed per standard of care and there will be no difference in patients' clinical management depending on the acquisition or not of surgical specimens. Patients with altered mental status and those who are unable or unwilling to provide informed consent will be excluded from this study.
- interventionNames
- Device: micro-computed tomography scanning of lung tissue specimens
Primary outcomes (2)
- measure
- Correlation between micro-CT and histopathological findings
- timeFrame
- 2 years
- description
- After co-registration of micro-CT and histopathological images via relevant software (e.g., ImageJ plugin: UnwarpJ elastic registration), a blinded pathologist (S.T.) will assess the co-aligned images to assess whether the investigator can identify the presence of lung cancer based on the generated 3D micro-CT images. The outcomes of this qualitative analysis will be statistically analyzed using Bland-Altman plots to determine intra- and inter-observer variability in the interpretation of micro-CT imaging data.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients with a presumptive diagnosis of lung cancer for whom surgical resection or sampling will be clinically indicated. Exclusion Criteria: * Patients with altered mental status and those who are unable or unwilling to provide informed consent for specimen imaging.
References
Publications (0)
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