دورية أكاديمية

Local fractal dimension of collagen detects increased spatial complexity in fibrosis.

التفاصيل البيبلوغرافية
العنوان: Local fractal dimension of collagen detects increased spatial complexity in fibrosis.
المؤلفون: Casey DT; Department of Medicine, University of Vermont Larner College of Medicine, 149 Beaumont Ave, Burlington, VT, 05405, USA. dtcasey@uvm.edu.; Complex Systems Center, University of Vermont, Burlington, VT, USA. dtcasey@uvm.edu., Lahue KG; Department of Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA., Mori V; Department of Medicine, University of Vermont Larner College of Medicine, 149 Beaumont Ave, Burlington, VT, 05405, USA., Herrmann J; Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA., Hall JK; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Suki B; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Janssen-Heininger YMW; Department of Pathology and Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA., Bates JHT; Department of Medicine, University of Vermont Larner College of Medicine, 149 Beaumont Ave, Burlington, VT, 05405, USA.
المصدر: Histochemistry and cell biology [Histochem Cell Biol] 2024 Jan; Vol. 161 (1), pp. 29-42. Date of Electronic Publication: 2023 Nov 08.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 9506663 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-119X (Electronic) Linking ISSN: 09486143 NLM ISO Abbreviation: Histochem Cell Biol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin : Springer,
مواضيع طبية MeSH: Fractals* , Collagen*, Humans ; Fibrosis
مستخلص: Increase of collagen content and reorganization characterizes fibrosis but quantifying the latter remains challenging. Spatially complex structures are often analyzed via the fractal dimension; however, established methods for calculating this quantity either provide a single dimension for an entire object or a spatially distributed dimension that only considers binary images. These neglect valuable information related to collagen density in images of fibrotic tissue. We sought to develop a fractal analysis that can be applied to 3-dimensional (3D) images of fibrotic tissue. A fractal dimension map for each image was calculated by determining a single fractal dimension for a small area surrounding each image pixel, using fiber thickness as the third dimension. We found that this local fractal dimension increased with age and with progression of fibrosis regardless of collagen content. Our new method of distributed 3D fractal analysis can thus distinguish between changes in collagen content and organization induced by fibrosis.
(© 2023. The Author(s).)
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معلومات مُعتمدة: T32 HL076122 United States HL NHLBI NIH HHS; R35 HL135828 United States NH NIH HHS; R35 HL135828 United States HL NHLBI NIH HHS; U01 HL139466 United States NH NIH HHS; T32 HL076122 United States NH NIH HHS; U01 HL139466 United States HL NHLBI NIH HHS; R01 AG074488 United States AG NIA NIH HHS
فهرسة مساهمة: Keywords: Aging; Collagen; Fibrosis; Fractal; Lung; Morphological analysis
المشرفين على المادة: 9007-34-5 (Collagen)
تواريخ الأحداث: Date Created: 20231108 Date Completed: 20240118 Latest Revision: 20240210
رمز التحديث: 20240210
مُعرف محوري في PubMed: PMC10794291
DOI: 10.1007/s00418-023-02248-8
PMID: 37938346
قاعدة البيانات: MEDLINE
الوصف
تدمد:1432-119X
DOI:10.1007/s00418-023-02248-8