Clinical value of CT imaging features to predict infiltration degree and pathological subtype of ground glass lung adenocarcinoma

Gong, X.; Huang, C.

doi:10.61186/ijrr.22.4.909

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Volume 22, Issue 4 (10-2024)

Int J Radiat Res 2024, 22(4): 909-918

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Clinical value of CT imaging features to predict infiltration degree and pathological subtype of ground glass lung adenocarcinoma

X. Gong

, C. Huang

Department of Thoracic Surgery, Nanjing Medical University, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China , huangchenjun2022@163.com

Abstract: (717 Views)

Background: To test the value of Computed tomography (CT) features in predicting the infiltration degree and pathological subtype of ground glass lung adenocarcinoma (≤ 3 cm). Materials and Methods: Data from 412 lung adenocarcinoma patients with mixed ground glass nodules on CT from Jan. 2017 to Dec. 2021 were tested retrospectively. The patients were separated by the infiltrating degree into a minimally invasive adenocarcinoma (MIA) group and an invasive adenocarcinoma (IAC) group. Then the IAC group was subdivided into low-, medium- and high-risk groups by the prognosis differences among subtypes, which were of lepidic, papillary, and micropapillary predominance respectively. Results: Average diameter of nodules, average CT value, solid component ratio, lobe sign, and burr sign were independent risk factors of IAC. The average diameter of nodules ≥ 12.5 mm, solid component ratio ≥ 20.96%, average CT value ≥ -473.07 HU, positive lobe sign and positive burr sign indicated the nodules were more likely IAC. Average CT value, and solid component ratio were independent risk factors for the high-risk pathological type of lung adenocarcinoma. The average CT value ≥ -242.92 HU and solid component ratio ≥ 69.536% indicated nodules were more likely the high-risk pathological type of lung adenocarcinoma. Conclusion: CT imaging features improve the diagnostic efficacy of ground glass nodules, and have certain clinical value.

Keywords: ground glass nodules, pathological subtype, imaging features, lung adenocarcinoma, degree of infiltration.

Full-Text [PDF 981 kb] (213 Downloads)

Type of Study: Original Research | Subject: Radiation Biology

References

1. Sung H, Ferlay J and Siegel RL, et al. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. Ca-a Cancer Journal for Clinicians, 71(3): 209-249. [DOI:10.3322/caac.21660] [PMID]

2. Pizzato M, Li M, Vignat J, et al. (2022) The epidemiological landscape of thyroid cancer worldwide: GLOBOCAN estimates for incidence and mortality rates in 2020. Lancet Diabetes Endocrinol, 10(4): 264-272. [DOI:10.1016/S2213-8587(22)00035-3]

3. Yotsukura M, Asamura H and Motoi N, et al. (2021) Long-Term Prognosis of Patients with Resected Adenocarcinoma In Situ and Minimally Invasive Adenocarcinoma of the Lung. Journal of Thoracic Oncology, 16(8): 1312-1320. [DOI:10.1016/j.jtho.2021.04.007] [PMID]

4. Watanabe Y, Hattori A and Nojiri S, et al. (2022) Clinical impact of a small component of ground-glass opacity in solid-dominant clinical stage IA non-small cell lung cancer. Journal of Thoracic and Cardiovascular Surgery, 163(3): 791-801. [DOI:10.1016/j.jtcvs.2020.12.089] [PMID]

5. Tsao MS, Nicholson AG, Maleszewski JJ, Marx A and Travis WD (2022) Introduction to 2021 WHO Classification of Thoracic Tumors. Journal of Thoracic Oncology, 17(1): e1-e4. [DOI:10.1016/j.jtho.2021.09.017] [PMID]

6. Nicholson AG, Tsao MS and Beasley MB, et al. (2022) The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015. Journal of Thoracic Oncology, 17(3): 362-387. [DOI:10.1016/j.jtho.2021.11.003] [PMID]

7. Moreira AL, Ocampo P and Xia Y, et al. (2020) A Grading System for Invasive Pulmonary Adenocarcinoma: A Proposal from the International Association for the Study of Lung Cancer Pathology Committee. Journal of Thoracic Oncology, 15(10): 1599-1610. [DOI:10.1016/j.jtho.2020.06.001] [PMID] []

8. Choi SH, Jeong JY and Lee SY, et al. (2021) Clinical implication of minimal presence of solid or micropapillary subtype in early-stage lung adenocarcinoma. Thoracic Cancer, 12(2): 235-244. [DOI:10.1111/1759-7714.13754] [PMID] []

9. Yanagawa N, Shiono S, Abiko M, Katahira M, Osakabe M and Ogata SY (2016) The Clinical Impact of Solid and Micropapillary Patterns in Resected Lung Adenocarcinoma. Journal of Thoracic Oncology, 11(11): 1976-1983. [DOI:10.1016/j.jtho.2016.06.014] [PMID]

10. He J, Li N and Chen WQ, et al. (2021) [China guideline for the screening and early detection of lung cancer (2021, Beijing)]. Zhonghua Zhong Liu Za Zhi, 43(3): 243-268.

11. MacMahon H, Naidich DP and Goo JM, et al. (2017) Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology, 284(1): 228-243. [DOI:10.1148/radiol.2017161659] [PMID]

12. Gao F, Sun Y, Zhang G, Zheng X, Li M and Hua Y (2019) CT characterization of different pathological types of subcentimeter pulmonary ground-glass nodular lesions. British Journal of Radiology, 92(1094): 20180204. [DOI:10.1259/bjr.20180204] [PMID] []

13. Miao Y, Zhang J, Zou J, Zhu Q, Lv T and Song Y (2017) Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma. Translational Lung Cancer Research, 6(1): 14-22. [DOI:10.21037/tlcr.2017.02.06] [PMID] []

14. Zhang Y, Qiang JW, Shen Y, Ye JD, Zhang J and Zhu L (2016) Using air bronchograms on multi-detector CT to predict the invasiveness of small lung adenocarcinoma. European Journal of Radiology, 85(3): 571-577. [DOI:10.1016/j.ejrad.2015.12.014] [PMID]

15. Zhang N, Liu JF, Wang YN and Yang L (2020) A nomogram to predict invasiveness in lung adenocarcinoma presenting as ground glass nodule. Translational Cancer Research, 9(3): 1660-1669. [DOI:10.21037/tcr.2020.01.55] [PMID] []

16. Wender R, Fontham ET and Barrera EJ, et al. (2013) American Cancer Society lung cancer screening guidelines. Ca-a Cancer Journal for Clinicians, 63(2): 107-117. [DOI:10.3322/caac.21172] [PMID] []

17. Qi L, Xue K and Li C, et al. (2019) Analysis of CT morphologic features and attenuation for differentiating among transient lesions, atypical adenomatous hyperplasia, adenocarcinoma in situ, minimally invasive and invasive adenocarcinoma presenting as pure ground-glass nodules. Scientific Reports, 9(1): 14586. [DOI:10.1038/s41598-019-50989-1] [PMID] []

18. Fu F, Zhang Y and Wang S, et al. (2021) Computed tomography density is not associated with pathological tumor invasion for pure ground-glass nodules. Journal of Thoracic and Cardiovascular Surgery, 162(2): 451-459. [DOI:10.1016/j.jtcvs.2020.04.169] [PMID]

19. Horeweg N, van der Aalst CM and Thunnissen E, et al. (2013) Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial. American Journal of Respiratory and Critical Care Medicine, 187(8): 848-854. [DOI:10.1164/rccm.201209-1651OC] [PMID]

20. Zhou QJ, Zheng ZC and Zhu YQ, et al. (2017) Tumor invasiveness defined by IASLC/ATS/ERS classification of ground-glass nodules can be predicted by quantitative CT parameters. Journal of Thoracic Disease, 9(5): 1190-1200. [DOI:10.21037/jtd.2017.03.170] [PMID] []

21. He S, Chen C and Wang Z, et al. (2023) The use of the mean computed-tomography value to predict the invasiveness of ground-glass nodules: A meta-analysis. Asian Journal of Surgery, 46(2): 677-682. [DOI:10.1016/j.asjsur.2022.07.031] [PMID]

22. Wang H, Yang H, Liu Z, Chen L, Xu X and Zhu Q (2022) [Comparison of Two-dimensional and Three-dimensional Features of Chest CT in the Diagnosis of Invasion of Pulmonary Ground Glass Nodules]. Zhongguo Fei Ai Za Zhi, 25(10): 723-729.

23. Zheng W, Wang Q, Wang Y, Guo F, Wang X and Yu T (2017) [Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images: Detection and Quantification of the Solid Component]. Zhongguo Fei Ai Za Zhi, 20(5): 341-345.

24. Yip R, Li K and Liu L, et al. (2018) Controversies on lung cancers manifesting as part-solid nodules. European Radiology, 28(2): 747-759. [DOI:10.1007/s00330-017-4975-9] [PMID] []

25. Suzuki K, Koike T and Asakawa T, et al. (2011) A prospective radiological study of thin-section computed tomography to predict pathological noninvasiveness in peripheral clinical IA lung cancer (Japan Clinical Oncology Group 0201). Journal of Thoracic Oncology, 6(4): 751-756. [DOI:10.1097/JTO.0b013e31821038ab] [PMID]

26. Katsumata S, Aokage K and Nakasone S, et al. (2019) Radiologic Criteria in Predicting Pathologic Less Invasive Lung Cancer According to TNM 8th Edition. Clinical Lung Cancer, 20(2): e163-e170. [DOI:10.1016/j.cllc.2018.11.001] [PMID]

27. Zhang P, Li T, Tao X, Jin X and Zhao S (2021) HRCT features between lepidic-predominant type and other pathological subtypes in early-stage invasive pulmonary adenocarcinoma appearing as a ground-glass nodule. Bmc Cancer, 21(1): 1124. [DOI:10.1186/s12885-021-07788-7] [PMID] []

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Gong X, Huang C. Clinical value of CT imaging features to predict infiltration degree and pathological subtype of ground glass lung adenocarcinoma. Int J Radiat Res 2024; 22 (4) :909-918
URL: http://ijrr.com/article-1-5748-en.html

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