A respiratory cytology support system using a chromatin homology profile for clinical applications.

IF 1.6 4区 医学 Q3 PATHOLOGY
Acta Cytologica Pub Date : 2025-05-28 DOI:10.1159/000546578
Kazuki Kanayama, Yuhki Yokoyama, Kento Iida, Kunimitsu Kawahara, Masako Onishi, Mai Iwasaki, Makiko Shibahara, Takashi Matsumoto, Sachiko Nagumo, Hirofumi Yamamoto, Kazuaki Nakane
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引用次数: 0

Abstract

Introduction: In a previous study, we developed a chromatin homology profile (CHP) method using the mathematical concept of homology and an analysis application, "Cell Checker", to differentiate histological types of lung cancer in respiratory cytology. However, issues such as the analyzed field of view and data volume arose because the CHP method is based on images taken with a 100× objective lens. In this study, to overcome these challenges, we investigated the accuracy of the CHP method for differentiating histologic types of lung cancer using images obtained with a 40× objective.

Methods: In total, 35 cases of lung cancer and benign tissue were selected, and 6 cancer cells and ciliated columnar epithelial cells per case were imaged with a 40× objective using a KEYENCE microscopy system. We analyzed chromatin contact (b1MAX value) and chromatin density (b1MAX/nuclear area value) with Cell Checker.

Results: The b1MAX value was lower in small cell carcinoma and there was a significant difference between small cell and non-small cell carcinoma. Significant differences in b1MAX/nuclear area values were found between adenocarcinoma and squamous cell carcinoma. These results were similar to those obtained with images from the 100× objective. Moreover, significant differences in b1MAX and b1MAX/nuclear area values were observed between benign and malignant cases.

Conclusion: We have overcome the problem associated with using images obtained with the 100× objective and shown that the CHP method can be used to differentiate between benign and malignant cases. The CHP method could be used as a diagnostic support system for respiratory cytology.

呼吸细胞学支持系统使用的染色质同源性档案的临床应用。
在之前的一项研究中,我们利用同源性的数学概念和分析应用“Cell Checker”开发了一种染色质同源谱(CHP)方法,用于区分呼吸细胞学中肺癌的组织学类型。然而,由于CHP方法基于用100倍物镜拍摄的图像,因此出现了诸如分析视场和数据量等问题。在本研究中,为了克服这些挑战,我们研究了使用40倍物镜获得的图像来区分肺癌组织学类型的CHP方法的准确性。方法:选择35例肺癌及良性组织,每例6个癌细胞及纤毛柱状上皮细胞,采用40x物镜,KEYENCE显微镜系统成像。我们用Cell Checker分析染色质接触(b1MAX值)和染色质密度(b1MAX/核面积值)。结果:b1MAX值在小细胞癌中较低,且在小细胞癌与非小细胞癌之间存在显著性差异。腺癌和鳞状细胞癌的b1MAX/核面积值存在显著差异。这些结果与从100倍物镜获得的图像相似。b1MAX及b1MAX/核面积值在良恶性病例间差异有统计学意义。结论:我们克服了使用100倍物镜获得的图像的问题,表明CHP方法可以用于区分良恶性病例。该方法可作为呼吸细胞学的诊断支持系统。
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来源期刊
Acta Cytologica
Acta Cytologica 生物-病理学
CiteScore
3.70
自引率
11.10%
发文量
46
审稿时长
4-8 weeks
期刊介绍: With articles offering an excellent balance between clinical cytology and cytopathology, ''Acta Cytologica'' fosters the understanding of the pathogenetic mechanisms behind cytomorphology and thus facilitates the translation of frontline research into clinical practice. As the official journal of the International Academy of Cytology and affiliated to over 50 national cytology societies around the world, ''Acta Cytologica'' evaluates new and existing diagnostic applications of scientific advances as well as their clinical correlations. Original papers, review articles, meta-analyses, novel insights from clinical practice, and letters to the editor cover topics from diagnostic cytopathology, gynecologic and non-gynecologic cytopathology to fine needle aspiration, molecular techniques and their diagnostic applications. As the perfect reference for practical use, ''Acta Cytologica'' addresses a multidisciplinary audience practicing clinical cytopathology, cell biology, oncology, interventional radiology, otorhinolaryngology, gastroenterology, urology, pulmonology and preventive medicine.
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