Targeted Stereology: Sampling heterogeneously distributed structures and lesions in the lung.
airways
heterogeneity
pulmonary fibrosis
sampling
vasculature
Journal
American journal of physiology. Lung cellular and molecular physiology
ISSN: 1522-1504
Titre abrégé: Am J Physiol Lung Cell Mol Physiol
Pays: United States
ID NLM: 100901229
Informations de publication
Date de publication:
11 Jun 2024
11 Jun 2024
Historique:
medline:
11
6
2024
pubmed:
11
6
2024
entrez:
11
6
2024
Statut:
aheadofprint
Résumé
Stereology, the gold standard of lung morphometry, critically depends on sampling of tissue for analysis. Random sampling approaches guarantee each part of the organ an equal chance of being included in the analysis, hence they guarantee a representative sample of the whole. However, when biological or pathological structures of interest are rare and/or heterogeneously distributed over the whole lung, the random sampling approach can be inefficient or even result in meaningless data. In such cases, a targeted sampling approach can be useful which helps to relate the analytical items to an appropriate reference space. Targeted stereology greatly benefits from the increasing availability of multi-resolution imaging techniques at macroscopic and microscopic level as well as digital tools of segmentation. As such, the present article outlines two basic sampling scenarios: 1. In the first scenario, computed tomography and microscopy are subsequently used to segment the airway/arterial tree and perform stereological measurements on specific branches of the tree. 2. The second scenario deals with heterogeneous distribution of pathological lesions. This type of analysis can be divided into two stages: assessment of lesions of interest (LOI) within the lung and assessment of subcompartments within LOI. Taken together, targeted stereology has a thorough foundation in stereological theory and is not only able to significantly increase the efficiency of the analysis but also to yield new types of information that would be lost with the classical random sampling approach.
Identifiants
pubmed: 38860846
doi: 10.1152/ajplung.00321.2023
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : MU-3118/8-1
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : SFB 1449-431232613,project B01
Organisme : Bundesministerium für Bildung und Forschung (BMBF)
ID : DZL
Organisme : Berlin University Alliance (BUA)
ID : Alliance Center Electron Microscopy