ArticleScientific reports2019
A step towards valid detection and quantification of lung cancer volume in experimental mice with contrast agent-based X-ray microtomography.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast.Npj imaging · 2026Review
- Unveiling Another Dimension: Advanced Visualization of Cancer Invasion and Metastasis via Micro-CT Imaging.Cancers · 2025Article
- Chondrosarcoma evaluation using hematein-based x-ray staining and high-resolution 3D micro-CT: a feasibility study.European radiology experimental · 2024Article
- Contrast-enhanced Micro-CT 3D visualization of cell distribution in hydrated human cornea.Heliyon · 2024Article
- Non-invasive detection of orthotopic human lung tumors by microRNA expression profiling of mouse exhaled breath condensates and exhaled extracellular vesicles.Extracellular vesicles and circulating nucleic acids · 2024Article
- The Value of Micro-CT in the Diagnosis of Lung Carcinoma: A Radio-Histopathological Perspective.Diagnostics (Basel, Switzerland) · 2023Review
- Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease.PloS one · 2023Article
- Quantification and visualization of metastatic lung tumors in mice.Toxicological research · 2022Article
- X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning.Tomography (Ann Arbor, Mich.) · 2021Article
- Human-specific GAPDH qRT-PCR is an accurate and sensitive method of xenograft metastasis quantification.Molecular therapy. Methods & clinical development · 2021Article
- Application of Deep Convolution Network to Automated Image Segmentation of Chest CT for Patients With Tumor.Frontiers in oncology · 2021Article
- In-vivo lung fibrosis staging in a bleomycin-mouse model: a new micro-CT guided densitometric approach.Scientific reports · 2020Article
- Automatization and improvement of μCT analysis for murine lung disease models using a deep learning approach.Respiratory research · 2020Article
- X-ray-based virtual slicing of TB-infected lungs.Scientific reports · 2019Article
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10 authors.
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Abstract
Tumor volume is a parameter used to evaluate the performance of new therapies in lung cancer research. Conventional methods that are used to estimate tumor size in mouse models fail to provide fast and reliable volumetric data for tumors grown non-subcutaneously. Here, we evaluated the use of iodine-staining combined with micro-computed tomography (micro-CT) to estimate the tumor volume of ex vivo tumor-burdened lungs. We obtained fast high spatial resolution three-dimensional information of the lungs, and we demonstrated that iodine-staining highlights tumors and unhealthy tissue. We processed iodine-stained lungs for histopathological analysis with routine hematoxylin and eosin (H&E) staining. We compared the traditional tumor burden estimation performed manually with H&E histological slices with a semi-automated method using micro-CT datasets. In mouse models that develop lung tumors with well precise boundaries, the method that we describe here enables to perform a quick estimation of tumorous tissue volume in micro-CT images. Our method overestimates the tumor burden in tumors surrounded by abnormal tissue, while traditional histopathological analysis underestimates tumor volume. We propose to embed micro-CT imaging to the traditional workflow of tumorous lung analyses in preclinical cancer research as a strategy to obtain a more accurate estimation of the total lung tumor burden.
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