Journal of Capital Medical University ›› 2022, Vol. 43 ›› Issue (4): 552-557.doi: 10.3969/j.issn.1006-7795.2022.04.007

• Integrated Diagnosis and Treatment of Lung Cancer • Previous Articles     Next Articles

Postoperative pathological analysis of elderly pulmonary ground-glass opacity

Su Lei1*, Zhang Yi1, Gao Yan2, Wei Bing3, Li Yuanbo1, Wang Tengteng1, Qian Kun1, Wang Leiming4   

  1. 1. Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China;
    2. Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China;
    3. Department of Pulmonary and Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China;
    4. Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
  • Received:2022-04-13 Online:2022-08-21 Published:2022-10-28
  • Contact: *E-mail:sulei@xwh.ccmu.edu.cn
  • Supported by:
    This study was supported by National Basic Research Program of China(2011CB510100).

Abstract: Objective Analyze the imaging manifestations and pathological results of elderly patients with pulmonary ground-glass opacity (GGO). Methods The imaging findings and postoperative pathological findings of 281 GGO patients aged over 60 years who underwent surgical treatment in our hospital from January 2017 to December 2019 were retrospectively studied. Results The mean maximum diameter of GGO was (13.3±7.5)mm. There were 97 cases (34.5%) of GGO type I, 119 cases (42.3%) of GGO type Ⅱ, 51 cases (18.1%) of GGO type Ⅲ and 14 cases (5.0%) of GGO type IV. The mean observation time was (13.5±23.3) months. In the postoperative pathological report, there were 30 cases (10.7%) of benign lesions, 75 cases (26.7%) of preinvasive lesions, 65 cases (23.1%) of minimally invasive adenocarcinoma(MIA), and 111 cases (39.5%) of invasive adenocarcinoma(IA). The correlation analysis of GGO imaging features and postoperative pathological results showed that there was a significant correlation between GGO classification based on GGO imaging features and postoperative pathological results (r=0.365, P<0.01). GGO classification was possibly correlated with pathological subtypes of lung cancer (P<0.05, r=0.276), and significantly correlated with STAS (P<0.05, r=0.175) and pleural infiltration (P<0.01, r=0.236). Conclusion The GGO imaging classification in elderly patients is more closely related to postoperative tumor properties and tumor invasive degree.

Key words: elderly patients, ground-glass opacity, single-hole thoracoscopy, postoperative pathological

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