Y I Hsia, Yu Hsin Tsai, Pin-Kuei Fu, Chih Jung Chen
{"title":"Application of Innovative 3D Pathological Tactic for Diagnosis of Organizing Pneumonia.","authors":"Y I Hsia, Yu Hsin Tsai, Pin-Kuei Fu, Chih Jung Chen","doi":"10.21873/invivo.13656","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aim: </strong>The pathological diagnosis of organizing pneumonia (OP) relies on conventional traditional histopathological analysis, which involves examining stained thin slices of tissue. However, this method often results in suboptimal diagnostic objectivity due to low tissue sampling rates. This study aimed to assess the efficacy of tissue-clearing and infiltration-enhanced 3D spatial imaging techniques for elucidating the tissue architecture of OP.</p><p><strong>Materials and methods: </strong>H&E staining, 3D imaging technology, and AI-assisted analysis were employed to facilitate the construction of a multidimensional tissue architecture using six OP patient specimens procured from Taichung Veterans General Hospital, enabling a comprehensive morphological assessment.</p><p><strong>Results: </strong>Specimens underwent H&E staining and exhibited Masson bodies and varying degrees of interstitial fibrosis. Furthermore, we conducted a comprehensive study of 3D images of the pulmonary histology reconstructed through an in-depth pathology analysis, and uncovered heterogenous distributions of fibrosis and Masson bodies across different depths of the OP specimens.</p><p><strong>Conclusion: </strong>Integrating 3D imaging for OP with AI-assisted analysis permits a substantially enhanced visualization and delineation of complex histological pulmonary disorders such as OP. The synergistic application of conventional histopathology with novel 3D imaging elucidated the sophisticated spatial configuration of OP, revealing the presence of Masson bodies and interstitial fibrosis. This methodology transcends conventional pathology constraints and paves the way for advanced algorithmic approaches to enhance precision in the detection, classification, and clinical management of lung pathologies.</p>","PeriodicalId":13364,"journal":{"name":"In vivo","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11215595/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In vivo","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21873/invivo.13656","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background/aim: The pathological diagnosis of organizing pneumonia (OP) relies on conventional traditional histopathological analysis, which involves examining stained thin slices of tissue. However, this method often results in suboptimal diagnostic objectivity due to low tissue sampling rates. This study aimed to assess the efficacy of tissue-clearing and infiltration-enhanced 3D spatial imaging techniques for elucidating the tissue architecture of OP.
Materials and methods: H&E staining, 3D imaging technology, and AI-assisted analysis were employed to facilitate the construction of a multidimensional tissue architecture using six OP patient specimens procured from Taichung Veterans General Hospital, enabling a comprehensive morphological assessment.
Results: Specimens underwent H&E staining and exhibited Masson bodies and varying degrees of interstitial fibrosis. Furthermore, we conducted a comprehensive study of 3D images of the pulmonary histology reconstructed through an in-depth pathology analysis, and uncovered heterogenous distributions of fibrosis and Masson bodies across different depths of the OP specimens.
Conclusion: Integrating 3D imaging for OP with AI-assisted analysis permits a substantially enhanced visualization and delineation of complex histological pulmonary disorders such as OP. The synergistic application of conventional histopathology with novel 3D imaging elucidated the sophisticated spatial configuration of OP, revealing the presence of Masson bodies and interstitial fibrosis. This methodology transcends conventional pathology constraints and paves the way for advanced algorithmic approaches to enhance precision in the detection, classification, and clinical management of lung pathologies.
背景/目的:组织性肺炎(OP)的病理诊断依赖于传统的组织病理学分析,即检查染色后的组织薄片。然而,由于组织取样率低,这种方法往往无法达到最佳诊断客观性。本研究旨在评估组织清除和浸润增强三维空间成像技术在阐明 OP 组织结构方面的功效。材料与方法:采用 H&E 染色、三维成像技术和人工智能辅助分析,利用从台中荣民总医院获取的六份 OP 患者标本构建多维组织结构,从而进行全面的形态学评估:结果:标本经 H&E 染色后显示出马松体和不同程度的间质纤维化。此外,我们还对通过深入病理分析重建的肺组织学三维图像进行了全面研究,发现在 OP 标本的不同深度,纤维化和马松体的分布具有异质性:结论:将 OP 的三维成像与人工智能辅助分析相结合,可大大增强对 OP 等复杂肺组织学疾病的可视化和描述。传统组织病理学与新型三维成像的协同应用阐明了 OP 复杂的空间结构,揭示了马森体和间质纤维化的存在。这种方法超越了传统病理学的限制,为先进的算法方法铺平了道路,从而提高了肺部病变的检测、分类和临床管理的精确性。
期刊介绍:
IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management.
The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.