ISSN 1004-4140
CN 11-3017/P
Turn off MathJax
Article Contents
Abstract
References
WU S J, HU L H, LI Z J, et al. Assessment of MSCT Value in Predicting the Degree of Pathological Differentiation of Peripheral Squamous Cell Lung Carcinoma[J]. CT Theory and Applications, xxxx, x(x): 1-6. DOI: 10.15953/j.ctta.2024.213. (in Chinese).
Citation: WU S J, HU L H, LI Z J, et al. Assessment of MSCT Value in Predicting the Degree of Pathological Differentiation of Peripheral Squamous Cell Lung Carcinoma[J]. CT Theory and Applications, xxxx, x(x): 1-6. DOI: 10.15953/j.ctta.2024.213. (in Chinese).
shu

Assessment of MSCT Value in Predicting the Degree of Pathological Differentiation of Peripheral Squamous Cell Lung Carcinoma

  • a.

    Huangshan People's Hospital, Huangshan 245000, China CT/MRI Room

  • b.

    Huangshan People's Hospital, Huangshan 245000, China Department of Pathology

More Information
  • Received Date: September 29, 2024
  • Revised Date: December 31, 2024
  • Accepted Date: January 01, 2025
  • Available Online: February 18, 2025
    Graphical Abstract
    • Abstract

  • Objective: We explored the application value of multi-slice spiral CT (MSCT) in preoperative prediction of the degree of pathological differentiation of peripheral lung squamous cell carcinoma (PLSCC). Methods: A total of 76 lesions from 75 patients with PLSCC confirmed by pathology in our hospital from January 2020 to November 2023 were selected and divided into a well-to-moderately differentiated group (n=55) and a poorly differentiated group (n=21) according to their pathological differentiation grades. The MSCT features of the two groups were compared and analyzed, including tumor size, shape, location, cavity, calcification, and signs of lobulation, air bronchogram, spiculation, vacuole, vascular convergence, pleural indentation, bronchial crawling, and bronchial truncation. Results: Compared with the poorly differentiated PLSCC group, the well-to-moderately differentiated PLSCC group had larger lesions, more signs of air bronchogram, and fewer signs of lobulation. These differences between groups were statistically significant. Conclusions: Some MSCT detected PLSCC features correlate with its degree of pathological differentiation and can be used to predict the pathological differentiation degree of PLSCC preoperatively.

    • FullText(HTML)
    • References (19)
  • [1]
    江楠, 杨洋, 李刚锋, 等. 双能量CT在孤立性肺结节诊断中的研究进展[J]. CT理论与应用研究, 2024, 33(6): 733-739. DOI: 10.15953/j.ctta.2024.066.

    JIANG N, YANG Y, LI G F, et al. Advances in dual-energy CT for the diagnosis of solitary pulmonary nodules[J]. CT Theory and Applications, 2024, 33(6): 733-739. DOI: 10.15953/j.ctta.2024.066.
    [2]
    易琳, 刘新福, 金德芳, 等. Ki-67在肺鳞状细胞癌组织的表达及其与预后相关性研究[J]. 浙江临床医学, 2021, 23(2): 169-170,173. DOI: 10.3969/j.issn.1008-7664.2021.02.005.

    YI L, LIU X F, JIN D F, et al. The expression of Ki-67 in lung squamous cell carcinoma tissue and its correlation with prognosis[J]. Zhejiang Clinical Medical Journal, 2021, 23(2): 169-170,173. DOI: 10.3969/j.issn.1008-7664.2021.02.005. (in Chinese).
    [3]
    邓启明, 李传俊, 吴晓涛, 等. 不同b值表观扩散系数在鉴别肺癌病理类型及腺癌分化程度中的价值[J]. 吉林医学, 2020, 41(12): 2844-2847. DOI: 10.3969/j.issn.1004-0412.2020.12.009.

    DENG Q M, LI C J, WU X T, et al. The value of apparent diffusion coefficient of different b values in distinguishing pathologicaltypes of lung cancer and differentiation of adenocarcinoma[J]. Jilin Medical Journal, 2020, 41(12): 2844-2847. DOI: 10.3969/j.issn.1004-0412.2020.12.009.
    [4]
    黄启静, 吴春军. 肺小细胞癌和低分化鳞状细胞癌临床病理分析及与预后的相关性[J]. 医学信息, 2012, 25(2): 205-206. DOI: 10.3969/j.issn.1006-1959.2012.02.180.

    HUANG Q J, WU C J. Clinical and pathological analysis of small cell lung cancer and poorly differentiated squamous cell carcinoma and their correlation with prognosis[J]. Medical Information, 2012, 25(2): 205-206. DOI: 10.3969/j.issn.1006-1959.2012.02.180.
    [5]
    徐岩, 练伟, 韩丹, 等. 3cm以下周围型肺鳞状细胞癌薄层CT征象分析[J]. 山西医科大学学报, 2019, 50(8): 1100-1103. DOI: 10.13753/j.issn.1007-6611.2019.08.013.

    XU Y, LIAN W, HAN D, et al. Thin-section CT features of lung peripheral squamous cell carcinoma of 3 cm or less[J]. Journal of Shanxi Medical University, 2019, 50(8): 1100-1103. DOI: 10.13753/j.issn.1007-6611.2019.08.013.
    [6]
    陈真伟, 腾晓东. 2015版WHO肺肿瘤组织学分类解读[J]. 中华肿瘤防治杂志, 2016, 23(1): 60-64. DOI: 10.3969/j.issn.1673-5269.2016.01.013.

    CHEN Z W, TENG X D. Fourth edition of WHO classification of tumours of the lung, published in 2015[J]. Chinese Journal of Cancer Prevention and Treatment, 2016, 23(1): 60-64. DOI: 10.3969/j.issn.1673-5269.2016.01.013.
    [7]
    任丽娜, 王勇, 庄美俊. 中央型肺鳞癌不同分型MSCT影像学表现特征分析[J]. 中国CT和MRI杂志, 2022, 20(11): 70-71. DOI: 10.3969/j.issn.1672-5131.2022.11.026.

    REN L N, WANG Y, ZHUANG M J. Imaging characteristics of different typesof central lung squamous cell carcinomain MSCT[J]. Chinese Journal of CT and MRI, 2022, 20(11): 70-71. DOI: 10.3969/j.issn.1672-5131.2022.11.026.
    [8]
    赵杰. 早期肺鳞癌与肺腺癌周围组织特点及病理学意义[J]. 中国现代药物应用, 2016, 10(7): 13-14. DOI: 10.14164/j.cnki.cn11-5581/r.2016.07.008.

    ZHAO J. Characteristics of surrounding tissues and pathological significance of early squamous cell lungcarcinoma and lung adenocarcinoma[J]. Chinese Journal of Modern Drug Application, 2016, 10(7): 13-14. DOI: 10.14164/j.cnki.cn11-5581/r.2016.07.008.
    [9]
    付亮, 王宏亮, 赵钰. 周围型肺癌在多层螺旋CT诊断中的影像学表现与术后病理学诊断的一致性分析[J]. 中国CT和MRI杂志, 2020, 18(4): 43-45. DOI: 10.3969/j.issn.1672-5131.2020.04.014.

    FU L, WANG H L, ZHAO Y. imaging findings of peripheral lung cancer in multi-slice spiral CT diagnosis and its consistency with postoperative pathological diagnosis[J]. Chinese Journal of CT and MRI, 2020, 18(4): 43-45. DOI: 10.3969/j.issn.1672-5131.2020.04.014.
    [10]
    王欢欢. 周围型肺癌CT诊断价值及其影像学特征探讨[J]. 影像研究与医学应用, 2022, 6(10): 63-65. DOI: 10.3969/j.issn.2096-3807.2022.10.021.

    WANG H H. Exploration of CT diagnostic value and imaging characteristics of peripheral lung cancer[J]. Journal of Imaging Research and Medical Applications, 2022, 6(10): 63-65. DOI: 10.3969/j.issn.2096-3807.2022.10.021.
    [11]
    曾庆国. 周围型肺癌CT征象与病理对照研究[J]. 现代医学影像学, 2022, 31(6): 1080-1082. DOI: 10.3969/j.issn.1006-7035.2022.06.022.

    ZENG Q G. Comparative study of CT features and pathology in peripheral lung cancer[J]. Modern Medical Imagelogy, 2022, 31(6): 1080-1082. DOI: 10.3969/j.issn.1006-7035.2022.06.022.
    [12]
    彭泽品, 圣磊, 王明扬, 等. 早期周围型肺癌CT高危征象与组织病理学类型的关系[J]. 安徽医学, 2020, 41(8): 920-922. DOI: 10. 3969/j. issn. 1000-0399. 2020. 08. 015. DOI: 10.3969/j.issn.1000-0399.2020.08.015.

    PENG Z P, SHENG L, WANG M Y, et al. The relationship between high-risk CT signs and histopathological types in early peripheral lung cancer[J]. Anhui Medical Journal, 2020, 41(8): 920-922. DOI: 10.3969/j.issn.1000-0399.2020.08.015.
    [13]
    林吉征, 张光辉, 杨学东, 等. 周围型肺腺癌、鳞癌的CT、病理表现与血管内皮生长因子(VEGF)表达的相关性研究[J]. 中国医学影像技术, 2007, 23(4): 523-526. DOI: 10.3321/j.issn.1003-3289.2007.04.013.

    LIN J Z, ZHANG G H, YANG X D, et al. Correlative study of CT appearances, pathological performance and the expression of vascular endothelial growth factor in peripheral lung adenocarcinoma and squamous cell carcinoma[J]. Chinese Journal of Medical Imaging Technolog, 2007, 23(4): 523-526. DOI: 10.3321/j.issn.1003-3289.2007.04.013.
    [14]
    彭丽静, 胡效坤, 刘道义, 等. 肺癌病理组织类型与影像学征象及临床表现的相关性研究[J]. 医学影像学杂志, 2007, 17(8): 826-829. DOI: 10.3969/j.issn.1006-9011.2007.08.019.

    PENG L J, HU X K, LIU D Y, et al. The study of the concerning nosology and imaging and clinical manifestation about lung cancer[J]. Journal of Medical Imaging, 2007, 17(8): 826-829. DOI: 10.3969/j.issn.1006-9011.2007.08.019.
    [15]
    陈洁琼, 梁亦贤. 多层螺旋CT对早期周围型肺癌病理特征的分析及诊断价值[J]. 浙江创伤外科, 2023, 28(9): 1769-1772. DOI: 10.3969/j.issn.1009-7147.2023.09.052.

    CHEN J Q, LIANG Y X. Analysis and diagnostic value of multi-slice spiral CT in the pathological characteristics of early peripheral lung cancer[J]. Zhejiang Journal of Traumatic Surgery, 2023, 28(9): 1769-1772. DOI: 10.3969/j.issn.1009-7147.2023.09.052.
    [16]
    文建昌, 王小建, 刘剑. 中央型小细胞肺癌与鳞癌患者多层螺旋CT影像特点分析[J]. 湖南师范大学学报(医学版), 2018, 15(2): 143-146. DOI: 10.3969/j.issn.1673-016X.2018.02.044.

    WEN J C, WANG X J, LIU J. Multi-slice spiral CT findings of patients with central small cell lung cancer and patients with squamous carcinoma[J]. Journal of Hunan Normal University (Medical Science), 2018, 15(2): 143-146. DOI: 10.3969/j.issn.1673-016X.2018.02.044.
    [17]
    唐新, 梁江涛, 丁忠祥. 肺鳞癌与腺癌PET/MRI影像学比较[J]. 浙江临床医学, 2023, 25(1): 124-126. DOI: 10.3969/j.issn.1008-7664.2023.01.043.

    TANG X, LIANG J T, DING Z X. Comparison of PET/MRI imaging between lung squamous cell carcinoma and adenocarcinoma[J]. Zhejiang Clinical Medical Journal, 2023, 25(1): 124-126. DOI: 10.3969/j.issn.1008-7664.2023.01.043. (in Chinese).
    [18]
    王慧莹, 陈殿森, 强军, 等. 周围型肺小鳞癌支气管改变的CT征象与病理对照[J]. 医学影像学杂志, 2023, 33(2): 249-252.

    WANG H Y, CHEN D S, QIANG J, et al. A controlled study of imaging and pathology of bronchial changes in small squamous carcinoma of the peripheral lung[J]. Journal of Medical Imaging, 2023, 33(2): 249-252. (in Chinese).
    [19]
    张唐世. 多层螺旋CT对周围型小细胞肺癌肺腺癌及肺鳞癌鉴别的诊断价值[J]. 山西医药杂志, 2020, 49(23): 3232-3234. DOI: 10.3969/j.issn.0253-9926.2020.23.014.

    ZHANG T S. The diagnostic value of multi-slice spiral CT in distinguishing peripheral small cell lung cancer from lung adenocarcinoma and lung squamous cell carcinoma[J]. Shanxi Medical Journal, 2020, 49(23): 3232-3234. DOI: 10.3969/j.issn.0253-9926.2020.23.014.
    • Related Articles

  • Cited by

    Periodical cited type(2)

    1. 宋冉，梁长华，李强. 能谱CT结合血清miR-23a预测大面积急性心肌梗死患者主要心血管不良事件发生风险的价值. 海南医学. 2025(04): 528-533 .
    2. 夏宾，叶鹏飞，邵祎炜，李俊杰，李宇庆. 心肌灌注成像联合增强CT评估心肌缺血患者再灌注损伤的价值. 河南医学研究. 2024(03): 550-554 .

    Other cited types(0)

Catalog

    Get Citation
    PDF
    XML
    Article views (30) PDF downloads (5) Cited by(2)
    Related

    Website Copyright © Editorial Office of Computerized Tomography Theory and Applications

    Address：No.5 Minzudaxue Nanlu,Haidian District,Beijing 100081,P.R.China（100081）

    E-mail：cttacn@cea-igp.ac.cn

    Phone：010-68729234

    京ICP备08002722号-11

    震球期刊
    CT理论与应用研究-中英文
    E-mail
    RSS

    Supported by: Beijing Renhe Information Technology Co. Ltd     Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return