| [1] |
Lee HJ, Lee CH, Jeong YJ, et al. IASLC/ATS/ERS International Multidisciplinary Classification of Lung Adenocarcinoma: Novel concepts and radiologic implications. J Thorac Imaging, 2012, 27(6):340-353. doi: 10.1097/RTI.0b013e3182688d62.
doi: 10.1097/RTI.0b013e3182688d62
URL
|
| [2] |
World Health Organization Classification of Tumours Editorial Board. WHO Classification of Tumours. Thoracic Tumours. 5th ed. Lyon: IARC Press, 2021.
|
| [3] |
Callister ME, Baldwin DR, Akram AR, et al. British Thoracic Society guidelines for the investigation and management of pulmonary nodules. Thorax, 2015, 70 Suppl 2:ii1-ii54. doi: 10.1136/thoraxjnl-2015-207168.
doi: 10.1136/thoraxjnl-2015-207168
|
| [4] |
Qi LL, Wu BT, Tang W, et al. Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation. Eur radiol, 2020, 30(2):744-755. doi: 10.1007/s00330-019-06344-z.
doi: 10.1007/s00330-019-06344-z
URL
|
| [5] |
Gao C, Li J, Wu L, et al. The Natural Growth of Subsolid Nodules Predicted by Quantitative Initial CT Features: A Systematic Review. Front oncol, 2020,27, 10:318. doi: 10.3389/fonc.2020.00318.
doi: 10.3389/fonc.2020.00318
URL
|
| [6] |
Bullitt E, Ewend M, Vredenburgh J, et al. Computerized assessment of vessel morphological changes during treatment of glioblastoma multiforme: report of a case imaged serially by MRA over four years. Neuroimage, 2009, 47 Suppl 2: 143-151. doi: 10.1016/j.neuroimage.2008.10.067.
doi: 10.1016/j.neuroimage.2008.10.067
|
| [7] |
Li Y, Dai Y, Yu N, et al. Morphological analysis of blood vessels near lung tumors using 3-D quantitative CT. J Xray Sci Technol, 2019, 27(1):149-160. doi: 10.3233/XST-180429.
doi: 10.3233/XST-180429
|
| [8] |
Son BY, Cho S, Yum SW, et al. The maximum standardized uptake value of preoperative positron emission tomography/computed tomography in lung adenocarcinoma with a ground-glass opacity component of less than 30 mm. J Surg Oncol, 2018, 117(3):451-456. doi: 10.1002/jso.24857.
doi: 10.1002/jso.24857
URL
|
| [9] |
Niu R, Shao X, Shao X, et al. Lung Adenocarcinoma Manifesting as Ground-Glass Opacity Nodules 3 cm or Smaller: Evaluation With Combined High-Resolution CT and PET/CT Modality. AJR Am J Roentgenol, 2019, 213(5):W236-W245. doi: 10.2214/AJR.19.21382.
doi: 10.2214/AJR.19.21382
URL
|
| [10] |
Jiang SS, Mao CG, Feng YG, et al. Circulating tumor cells with epithelial-mesenchymal transition markers as potential biomarkers for the diagnosis of lung cancer. World J Clin Cases, 2021, 9(12):2721-2730. doi: 10.12998/wjcc.v9.i12.2721.
doi: 10.12998/wjcc.v9.i12.2721
URL
|
| [11] |
Zhou Q, Geng Q, Wang L, et al. Value of folate receptor-positive circulating tumour cells in the clinical management of indeterminate lung nodules: A non-invasive biomarker for predicting malignancy and tumour invasiveness. EBio Medicine, 2019, 41:236-243. doi: 10.1016/j. ebiom. 2019.02.028.
doi: 10.1016/j. ebiom. 2019.02.028
|
| [12] |
Massion PP, Healey GF, Peek LJ, et al. Autoantibody signature enhances the positive predictive power of computed tomography and nodule-based risk models for detection of lung cancer. J Thorac Oncol, 2017, 12(3):578-584. doi: 10.1016/j.jtho.2016.08.143.
doi: S1556-0864(16)30928-5
pmid: 27615397
|
| [13] |
Jiang N, Zhou J, Zhang W, et al. RNF213 gene mutation in circulating tumor DNA detected by targeted next-generation sequencing in the assisted discrimination of early-stage lung cancer from pulmonary nodules. Thorac Cancer, 2021, 12(2):181-193. doi: 10.1111/1759-7714.13741.
doi: 10.1111/1759-7714.13741
pmid: 33200540
|
| [14] |
Xi K, Wang W, Wen Y, et al. Combining Plasma miRNAs and Computed Tomography Features to Differentiate the Nature of Pulmonary Nodules. Front Oncol, 2019, 9:975. doi: 10.3389/fonc.2019.00975.
doi: 10.3389/fonc.2019.00975
URL
|
| [15] |
Gong J, Liu J, Hao W, et al. A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images. Eur Radiol, 2020, 30(4):1847-1855. doi: 10.1007/s00330-019-06533-w.
doi: 10.1007/s00330-019-06533-w
URL
|
| [16] |
Izumo T, Sasada S, Chavez C, et al. Radial endobronchial ultrasound images for ground-glass opacity pulmonary lesions. Eur Respir J, 2015, 45(6):1661-1668. doi: 10.1183/09031936.00167914.
doi: 10.1183/09031936.00167914
URL
|
| [17] |
MacMahon H, Naidich DP, Goo JM, et al. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology, 2017, 284(1):228-243. doi: 10.1148/radiol.2017161659.
doi: 10.1148/radiol.2017161659
pmid: 28240562
|
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