[Home ] [Archive]    
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
IJRR Information::
For Authors::
For Reviewers::
News & Events::
Web Mail::
Search in website

Advanced Search
Receive site information
Enter your Email in the following box to receive the site news and information.
Hard Copy 2322-3243
Online 2345-4229
Online Submission
Now you can send your articles to IJRR office using the article submission system.



:: Volume 20, Issue 3 (7-2022) ::
Int J Radiat Res 2022, 20(3): 679-685 Back to browse issues page
Correlation in high resolution computed tomography signs with pathological subtype and differentiation degree of lung adenocarcinoma
L. Duan , W. Shan , L. Guo , G. Bo
Department of Medical Imaging, the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, 223300, China , guolili163@163.com
Abstract:   (648 Views)
Background: To study the relationship between high-resolution computed tomography (HRCT) signs and the pathological subtypes and differentiation degree of lung adenocarcinoma. Materials and Methods: We retrospectively reviewed HRCT images of 394 lung adenocarcinoma cases and compared the diversity of images among preinvasive lesions (PILs), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) and the differentiation degrees of IAC by Kruskal-Wallis and χ2 tests. Results: There were significant differences in the size, density and incidences of the pleura traction sign, spicule sign, lobulation sign, tumor vascular sign, bronchial cutoff sign, air bronchogram sign and cavity sign of PILs, MIA and IAC (χ2=2.172~247.077, P<0.05). The incidences of all these signs (except for the cavity sign) in IAC were higher than those in the other two groups (P<0.05). There were no significant differences in margin irregularity or vacuole signs among PILs, MIA and IAC (P>0.05). There were significant differences in the size, density, and incidences of margin irregularity, the pleura traction sign, the spicule sign, the lobulation sign, the tumor vascular sign, the bronchial cutoff sign and the cavity sign in the three differentiated subgroups (χ2=6.818~63.331, P<0.05).  No significant differences were found in the air bronchogram sign and vacuole sign among the three differentiated subgroups (P>0.05). Conclusions: HRCT signs of lung adenocarcinoma are closely related to the pathological subtype and differentiation degree and have great value in helping predict tumor types and devise clinical treatment plans.
Keywords: Lung adenocarcinoma, computed tomography, sign, pathology, differentiation.
Full-Text [PDF 2338 kb]   (313 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
1. Boyle P and Levin B (2008) World cancer report 2008[M]. IARC Press, International agency for research on cancer, 2008.
2. Torre LA, Bray F, Siegel RL, et al. (2015) Global cancer statistics 2012. CA Cancer J Clin, 65(2): 87-108. [DOI:10.3322/caac.21262] [PMID]
3. Blom JW, Osanto S, Rosendaal FR (2004) The risk of a venous thrombotic event in lung cancer patients: higher risk for adenocarcinoma than squamous cell carcinoma. J Thromb Haemost, 2(10): 1760-5. [DOI:10.1111/j.1538-7836.2004.00928.x] [PMID]
4. Coroller TP, Grossmann P, Hou Y, et al. (2015) CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma. Radiother Oncol, 114(3): 345-50. [DOI:10.1016/j.radonc.2015.02.015] [PMID] []
5. Travis WD, Brambilla E, Noguchi M, et al. (2011) International association for the study of lung cancer/American thoracic society/European respiratory Society: international multidisciplinary classification of lung adenocarcinoma: executive summary. Journal of Thoracic Oncology, 6(2): 244-85. [DOI:10.1097/JTO.0b013e318206a221] [PMID] []
6. Fujimoto Y, Togo S, Tulafu M, et al. (2015) Variation in the expression levels of predictive chemotherapy biomarkers in histological subtypes of lung adenocarcinoma: an immunohistochemical study of tissue samples. Int J Clin Exp Pathol, 8(9): 10523-33.
7. Shimamura Y, Sasaki S, Shimohira M, et al. (2018) New technique of percutaneous CT fluoroscopy-guided marking before video-assisted thoracoscopic surgery for small lung lesions: feasibility of using a 25-gauge needle without local anaesthesia. The British Journal of Radiology, 91: 20170692. [DOI:10.1259/bjr.20170692] [PMID] []
8. Gu J, Lu C, Guo J, et al. (2013) Prognostic significance of the IASLC/ATS/ERS classification in Chinese patients-a single institution retrospective study of 292 lung adenocarcinoma. J Surg Oncol, 107(5): 474-80. [DOI:10.1002/jso.23259] [PMID]
9. Chen L, Yang S, Wang HJ, et al. (2018) A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography. Int Soci for Optics and Photonics, 10578: 105782M. [DOI:10.1117/12.2291968]
10. Cohen J G, Reymond E, Medici M, et al. (2018) CT-texture analysis of subsolid nodules for differentiating invasive from in-situ and minimally invasive lung adenocarcinoma subtypes. Diagn Interv Imaging, 99(5): 291-9. [DOI:10.1016/j.diii.2017.12.013] [PMID]
11. Ko JP, James S, Opeyemi I, et al. (2016) Lung adenocarcinoma: Correlation of quantitative CT findings with pathologic findings. Radiology, 280(3): 931-9. [DOI:10.1148/radiol.2016142975] [PMID]
12. Eriguchi D, Shimada Y, Imai K, et al. (2018) Predictive accuracy of lepidic growth subtypes in early-stage adenocarcinoma of the lung by quantitative CT histogram and FDG-PET. Lung Cancer, 125: 14-21. [DOI:10.1016/j.lungcan.2018.08.027] [PMID]
13. Linning E, Lin L, Li L, et al. (2019) Radiomics for classification of lung cancer histological subtypes based on nonenhanced computed tomography. Acad Radiol, 26(9): 1245-52. [DOI:10.1016/j.acra.2018.10.013] [PMID]
14. Xiaoli XU, Sui X, Zhong W, et al. (2018) Diagnostic value of quantitative dual-source CT dual-energy iodine maps combined with morphological CT features in assessing histological subtypes of lung cancer. Chinese Journal of Radiology, 52(11): 823-8.
15. Winer-Muram HT (2006) The solitary pulmonary nodule. Radiology, 239(1): 34-49. [DOI:10.1148/radiol.2391050343] [PMID]
16. Jeong YJ, Yi CA, Lee KS (2008) Solitary pulmonary nodules: detection, characterization, and guidance for further diagnostic workup and treatment. AJR Am J Roentgenol, 188(1): 183-95. [DOI:10.2214/AJR.05.2131] [PMID]
17. Moon Y, Sung SW, Lee KY, et al. (2016) Pure ground-glass opacity on chest computed tomography: predictive factors for invasive adenocarcinoma. Journal of Thoracic Disease, 8(7): 1561. [DOI:10.21037/jtd.2016.06.34] [PMID] []
18. Heidinger BH, Anderson KR, Nemec U, et al. (2017) Lung adenocarcinoma manifesting as pure ground-glass nodules: correlating CT size, volume, density, and roundness with histopathologic invasion and size. Journal of Thoracic Oncology, 12(8): 1288-98. [DOI:10.1016/j.jtho.2017.05.017] [PMID]
19. Eguchi T, Yoshizawa A, Kawakami S, et al. (2014) Tumor size and computed tomography attenuation of pulmonary pure ground-glass nodules are useful for predicting pathological invasiveness. PLoS, 9(5). [DOI:10.1371/journal.pone.0097867] [PMID] []
20. Henschke CI, Yankelevitz DF, Naidich DP, et al. (2004) CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans. Radiology, 231(1): 164-8. [DOI:10.1148/radiol.2311030634] [PMID]
21. Cho J, Ko SJ, Kim SJ, et al. (2014) Surgical resection of nodular ground-glass opacities without percutaneous needle aspiration or biopsy. BMC Cancer, 14(1): 838. [DOI:10.1186/1471-2407-14-838] [PMID] []
22. Oda S, Awai K, Liu D, et al. (2008) Ground-glass opacities on thin-section helical CT: differentiation between bronchioloalveolar carcinoma and atypical adenomatous hyperplasia. American J Roentgenology, 190(5): 1363-8. [DOI:10.2214/AJR.07.3101] [PMID]
23. Gao F, Li M, Ge X, et al. (2013) Multi-detector spiral CT study of the relationships between pulmonary ground-glass nodules and blood vessels. European Radiology, 23(12): 3271-7. [DOI:10.1007/s00330-013-2954-3] [PMID]
24. She Y, Zhao L, Dai C, et al. (2017) Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study. Oncotarget, 8(10): 17229. [DOI:10.18632/oncotarget.11236] [PMID] []
25. Yoshino I, Nakanishi R, Kodate M, et al. (2000) Pleural retraction and intra-tumoral air-bronchogram as prognostic factors for stage I pulmonary adenocarcinoma following complete resection. International Surgery, 85(2): 105-12.
26. Meng Y, Liu CL, Cai Q, et al. (2019) Contrast analysis of the relationship between the HRCT sign and new pathologic classification in small ground glass nodule-like lung adenocarcinoma. Radiol Med, 124(1): 8-13. [DOI:10.1007/s11547-018-0936-x] [PMID]
27. Zhang Y, Shen Y, Qiang JW, et al. (2016) HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules. Eur Radiol, 26(9): 2921-8. [DOI:10.1007/s00330-015-4131-3] [PMID]
28. Wang X, Duan H, Li X, et al. (2020) A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics. Phys Med Biol, 65(4): 045006. [DOI:10.1088/1361-6560/ab6e51] [PMID]
29. Wang X, Lv L, Zheng Q, et al. (2018) Differential diagnostic value of 64-slice spiral computed tomography in solitary pulmonary nodule. Exp Ther Med, 15(6): 4703-8. [DOI:10.3892/etm.2018.6041] [PMID] []
30. Wahidi MM, Govert JA, Goudar RK, et al. (2007) Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition). Chest, 132(3): 94S-107S. [DOI:10.1378/chest.07-1352] [PMID]
31. Lee SM, Park CM, Goo JM, et al. (2013) Invasive pulmonary adenocarcinomas versus preinvasive lesions appearing as ground-glass nodules: differentiation by using CT features. Radiology, 268(1): 265-73. [DOI:10.1148/radiol.13120949] [PMID]
32. Xiang W, Xing Y, Jiang S, et al. (2014) Morphological factors differentiating between early lung adenocarcinomas appearing as pure ground-glass nodules measuring≤ 10 mm on thin-section computed tomography. Cancer Imaging, 14(1): 33. [DOI:10.1186/s40644-014-0033-x] [PMID] []
33. Si MJ, Tao XF, Du GY, et al. (2016) Thin-section computed tomography-histopathologic comparisons of pulmonary focal interstitial fibrosis, atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma with pure ground-glass opacity. European Journal of Radiology, 85(10): 1708-15. [DOI:10.1016/j.ejrad.2016.07.012] [PMID]
34. Zheng B, Zhou X, Chen J, et al. (2015) A modified model for preoperatively predicting malignancy of solitary pulmonary nodules: an Asia cohort study. Ann Thorac Surg, 100(1): 288-94. [DOI:10.1016/j.athoracsur.2015.03.071] [PMID]
35. Yang ZG, Sone S, Takashima S, et al. (2001) High-resolution CT analysis of small peripheral lung adenocarcinomas revealed on screening helical CT. AJR Am J Roentgenol, 176(6): 1399-407. [DOI:10.2214/ajr.176.6.1761399] [PMID]
36. Liang J, Xu XQ, Xu H, et al. (2015) Using the CT features to differentiate invasive pulmonary adenocarcinoma from pre-invasive lesion appearing as pure or mixed ground-glass nodules. Br J Radiol, 88(1053): 20140811. [DOI:10.1259/bjr.20140811] [PMID] []
37. Liu LH, Liu M, Wei R, et al. (2015) CT findings of persistent pure ground glass opacity: can we predict the invasiveness. Asian Pac J Cancer Prev, 16(5): 1925-8. [DOI:10.7314/APJCP.2015.16.5.1925] [PMID]
Send email to the article author

Add your comments about this article
Your username or Email:


XML     Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Duan L, Shan W, Guo L, Bo G. Correlation in high resolution computed tomography signs with pathological subtype and differentiation degree of lung adenocarcinoma. Int J Radiat Res 2022; 20 (3) :679-685
URL: http://ijrr.com/article-1-4363-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 20, Issue 3 (7-2022) Back to browse issues page
International Journal of Radiation Research
Persian site map - English site map - Created in 0.06 seconds with 50 queries by YEKTAWEB 4624