Loading [MathJax]/jax/output/SVG/jax.js
ISSN 1004-4140
CN 11-3017/P
Volume 28 Issue 1
Feb.  2019
Turn off MathJax
Article Contents
ZHANG Wenchao, LI Jingxu, GUAN Yubao, YANG Xinguan, XIA Tingting, ZHANG Liyi, CHEN Yeying, DONG Xiao. Correlation between CT Features and Patient's Prognosis of Multiple Primary Lung Cancer[J]. CT Theory and Applications, 2019, 28(1): 29-38. DOI: 10.15953/j.1004-4140.2019.28.01.03
Citation: ZHANG Wenchao, LI Jingxu, GUAN Yubao, YANG Xinguan, XIA Tingting, ZHANG Liyi, CHEN Yeying, DONG Xiao. Correlation between CT Features and Patient's Prognosis of Multiple Primary Lung Cancer[J]. CT Theory and Applications, 2019, 28(1): 29-38. DOI: 10.15953/j.1004-4140.2019.28.01.03

Correlation between CT Features and Patient's Prognosis of Multiple Primary Lung Cancer

More Information
  • Received Date: November 08, 2018
  • Available Online: November 05, 2021
  • Objective: To study the clinical, pathological and CT features of patients with multiple primary lung cancer (MPLC), analyze its prognosis and survival related factors, and provide theoretical basis for its clinical diagnosis, treatment and prognosis evaluation. Methods: A total of 93 MPLC patients diagnosed in our hospital from 2009-01-01 to 2014-12-31 with at least 3 years of follow-up data were reviewed. The clinical, pathological and CT data of the patients were analyzed, and survival analysis was performed. Results: Among the 93 patients, 86(92.5%) had synchronous multiple primary lung cancer and 7(7.5%) had metachronous multiple primary lung cancer. There were 47 males (50.5%) and 46 females (49.5%) with ages from 39 to 79 years (˜x=58 years). Of the 93 patients, 33 cases (35.5%) had a history of smoking; 22 cases of emphysema (23.7%) 62 cases (66.7%) were in stageⅠ, 12 cases (12.9%) in stageⅡ, 15 cases (16.1%) in stage Ⅲ, 4 cases (4.3%) in stage Ⅳ. A total of 205 primary tumor lesions were found in 93 patients, mainly adenocarcinoma (94.2%), with diameters of 0.4~8.3cm (˜x=1.9cm). CT mainly manifested as double primary lung cancer (81.7%), 48 cases (51.6%) showed solid nodules/masses with GGN, and 30 cases (32.3%) were multiple GGN. Lobulation were found in 72.2% cases, speculation sign in 57.6% cases, vascular bundle sign in 56.1% cases, and pleural indentation in 61.0% cases. The 3-year overall survival rate after surgery was 94.6% and the disease free survival rate was 84.9%. Smoking history (P=0.016), maximum tumor diameter (P=0.036), pleural indentation (P=0.045) and bronchial truncation sign (P=0.024) were independent risk factors for disease-free survival of MPLC patients. Conclusion: Adenocarcinoma was the main pathological type among MPLC. The largest lesion had the malignant characteristics of primary lung cancer, particularly the presence of single or multiple GGN. The overall prognosis of MPLC is good. Smoking history, tumor size, pleural indentation and bronchial truncation sign are independent risk factors influencing the prognosis of patients. Early diagnosis and surgical treatment may achieve better prognosis.
  • Cited by

    Periodical cited type(11)

    1. 周琪鹏,吴敏丹,杨彦龙,孙建鸿,郑文川,林茂煌,张淇钏. 以小细胞神经内分泌癌和鳞癌为表现的同时同叶双原发肺癌1例. 中国CT和MRI杂志. 2024(09): 184-185 .
    2. 孙维斌,康露,聂永红. 早期肺癌组织内支气管、血管CT异常影像与病理对照研究. 分子影像学杂志. 2023(03): 518-521 .
    3. 毕春宇,魏来,郑洪民. 肺腺癌铁死亡水平与CT征象的相关性及临床意义. 分子诊断与治疗杂志. 2023(08): 1458-1461+1464 .
    4. 杨连军,王小刚,杨茂生,彭君. 多层螺旋CT联合MRI在原发性肺癌患者中的诊断效果及临床治疗指导价值研究. 中国CT和MRI杂志. 2022(07): 58-60 .
    5. 陈阳阳,窦文广,岳军艳,梁长华. 多层螺旋CT联合血清相关肿瘤标志物检测在原发性肺癌患者诊断中的应用价值. 实用医学影像杂志. 2022(03): 310-313 .
    6. 黄秀,熊友菊. 铜梁地区吸烟者低剂量CT筛查早期肺癌的应用价值研究. 世界复合医学. 2022(08): 43-46 .
    7. 卢艳丽,万宏燕,吴俊. 肺腺癌CT征象与Ki67、PNCA及p53蛋白的相关性. 分子诊断与治疗杂志. 2022(09): 1590-1593+1597 .
    8. 崔戈丹,王飞. 老年人肺癌中医证候及其分布规律研究进展. 辽宁中医药大学学报. 2021(02): 80-84 .
    9. 吕引娣,侯秋萍. 多层螺旋CT超薄层扫描小间隔层面重建对周围性肺癌的诊断价值. 中国肿瘤临床与康复. 2021(12): 1432-1435 .
    10. 图爽,王拓,于丽华,吕仁锋. 放射影像技术在支气管异物诊断中的应用价值. 当代医学. 2020(14): 91-93 .
    11. 杨二鹏,陈梦琳,夏中颖,马慧淼,王淑萌,程志强. 广泛期小细胞肺癌合并肺腺癌1例. 中日友好医院学报. 2020(02): 125+129 .

    Other cited types(4)

Catalog

    Article views (454) PDF downloads (13) Cited by(15)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return