1 |
杨 丽,钱桂生. 肺结节临床精准诊断的新理念[J/CD]. 中华肺部疾病杂志(电子版), 2022, 15(1): 1-5.
|
2 |
Wu Z, Wang F, Cao W, et al. Lung cancer risk prediction models based on pulmonary nodules: A systematic review[J]. Thorac Cancer, 2022, 13(5): 664-677.
|
3 |
Jacob M, Romano J, Ara Jo D, et al. Predicting lung nodules malignancy[J]. Pulmonology, 2022, 28(6): 454-460.
|
4 |
中国肺癌防治联盟,中华医学会呼吸病学分会肺癌学组,中国医师协会呼吸医师分会肺癌工作委员会. 肺癌筛查与管理中国专家共识[J]. 国际呼吸杂志,2019, 39(21): 1604-1615.
|
5 |
Avanzo M, Stancanello J, Pirrone G, et al. Radiomics and deep learning in lung cancer[J]. Strahlenther Onkol, 2020, 196(10): 879-887.
|
6 |
Sun Y, Li C, Jin L, et al. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction[J]. Eur Radiol, 2020, 30(7): 3650-3659.
|
7 |
Bortolotto C, Lancia A, Stelitano C, et al. Radiomics features as predictive and prognostic biomarkers in NSCLC[J]. Expert Rev Anticancer Ther, 2021, 21(3): 257-266.
|
8 |
Brazel D, Kroening G, Nagasaka M. Non-small cell lung cancer with EGFR or HER2 Exon 20 insertion mutations: Diagnosis and treatment options[J]. BioDrugs, 2022, 36(6): 717-729.
|
9 |
中华医学会呼吸病学分会肺癌学组,中国肺癌防治联盟专家组. 肺结节诊治中国专家共识(2018年版)[J]. 中华结核和呼吸杂志,2018, 41(10): 763-771.
|
10 |
Liu QX, Zhou D, Han TC, et al. A noninvasive multianalytical approach for lung cancer diagnosis of patients with pulmonary nodules[J]. Adv Sci (Weinh), 2021, 8(13): 2100104.
|
11 |
Chen KN. The diagnosis and treatment of lung cancer presented as ground-glass nodule[J]. Gen Thorac Cardiovasc Surg, 2020, 68(7): 697-702.
|
12 |
Araujo-Filho J, Halpenny D, McQuade C, et al. Management of pulmonary nodules in oncologic patients: AJR expert panel narrative review[J]. AJR Am J Roentgenol,2021, 216(6): 1423-1431.
|
13 |
Kim J, Dabiri B, Hammer MM. Micronodular lung disease on high-resolution CT: patterns and differential diagnosis[J]. Clin Radiol, 2021, 76(6): 399-406.
|
14 |
王 慧,韦小夏,马志敏,等. 吸烟和健康饮食评分在文化程度与肺癌发病风险关联中的中介效应研究[J]. 中华流行病学杂志,2022, 43(12): 1875-1880.
|
15 |
Moreira AL, Sabari JK. Seeing beyond the smoke: Reclassifying lung cancer by smoking-related mutational signatures[J]. J Thorac Oncol, 2023, 18(4): 396-398.
|
16 |
Yuan J, Sun Y, Wang K, et al. Development and validation of reassigned CEA, CYFRA21-1 and NSE-based models for lung cancer diagnosis and prognosis prediction[J]. BMC Cancer, 2022, 22(1): 686.
|
17 |
李道航,邓伟明,左 磊,等. 血清CEA、NSE、ProgRP、CYFRA21-1在孤立性肺结节中的变化及影响因素分析[J]. 分子诊断与治疗杂志,2023, 15(9): 1538-1542.
|
18 |
杨 冰,唐磊华,李 巍,等. 增强CT与CEA联合检测对孤立肺结节良恶性的诊断价值[J]. 实用癌症杂志,2019, 34(12): 1995-1997.
|
19 |
Fu L, Wang R, Yin L, et al. CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: A meta-analysis[J]. Int J Biol Markers, 2019, 34(3): 251-261.
|
20 |
何 桃,刘 英,宋清泉,等. AFP、CYFRA21-1、NSE及CT征象在孤立性肺结节性质中鉴别价值[J]. 分子诊断与治疗杂志,2021, 13(9): 1435-1439.
|
21 |
李振江,毛 羽,李宝生,等. 放射组学:临床应用及进展[J]. 中华放射肿瘤学杂志,2017, 26(7): 828-832.
|
22 |
Dang Y, Wang R, Qian K, et al. Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer[J]. J Appl Clin Med Phys, 2021, 22(1): 271-280.
|
23 |
Krarup M, Krokos G, Subesinghe M, et al. Artificial intelligence for the characterization of pulmonary nodules, lung tumors and mediastinal nodes on PET/CT[J]. Semin Nucl Med, 2021, 51(2): 143-156.
|
24 |
Apostolopoulos ID, Pintelas EG, Livieris IE, et al. Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques[J]. Med Biol Eng Comput, 2021, 59(6): 1299-1310.
|
25 |
Salihoglu YS, Uslu Erdemir R, Aydur Püren B, et al. Diagnostic performance of machine learning models based on 18F-FDG PET/CT radiomic features in the classification of solitary pulmonary nodules[J]. Mol Imaging Radionucl Ther, 2022, 31(2): 82-88.
|
26 |
张亚超,乔 辉,李 泽,等. 基于CT特征建立放射组学模型对非小细胞肺癌患者治疗效果的鉴别价值[J]. 实用放射学杂志,2020, 36(7): 1129-1132.
|
27 |
Pan X, Wang H, Yu H, et al. Lung cancer associated with cystic airspaces: CT and pathological features[J]. Transl Cancer Res, 2020, 9(6): 3960-3964.
|
28 |
Xue LM, Li Y, Zhang Y, et al. A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules[J]. Eur Radiol, 2022, 32(4): 2672-2682.
|
29 |
Susam S, Ucsular FD, Yalniz E, et al. Comparison of typical and atypical computed tomography patterns regarding reversibility and fibrosis in pulmonary sarcoidosis[J]. Ann Thorac Med, 2021, 16(1): 118-125.
|
30 |
Fu BJ, Lv FJ, Li WJ, et al. Significance of intra-nodular vessel sign in differentiating benign and malignant pulmonary ground-glass nodules[J]. Insights Imaging, 2021, 12(1): 65.
|