1 弋 坤, 母其文, 张福洲. 胸部多排螺旋CT灌注成像评估老年肺癌患者淋巴结转移的价值[J]. 中国老年学杂志, 2022, 42(12): 2899-2902.
2 蒋会东, 谢 强, 李 军, 等. 64排CT联合NSE、ProGRP在肺癌鉴别诊断及TNM分期中的应用[J]. 中国现代医学杂志, 2022, 32(14): 95-100.
3 樊 化, 孙 萍, 巫开文, 等. CT联合血清CEA、NSE、Cyfra21-1对非小细胞肺癌纵隔淋巴结转移的预测价值[J]. 山东医药, 2022, 62(7): 57-60.
4 孔 燕, 吴 佳, 魏贤顶, 等. 肺癌放疗患者症状性放射性肺炎预测的CT影像组学研究[J]. 中华放射医学与防护杂志, 2022, 42(2): 115-120.
5 侯振国, 李永才, 高凤霄, 等. 双能量CT在晚期非小细胞肺癌放化疗近期疗效评估中的价值[J]. 实用放射学杂志, 2022, 38(1): 38-41.
6 王紫君, 黄劲柏, 邱大胜, 等. 18F-FDG PET-CT显像在预测肺癌淋巴结分期中的价值[J]. 中国医学计算机成像杂志, 2020, 26(2): 164-169.
7 吴 涛, 陈 江. 增强CT与非小细胞肺癌临床病理特征及预后的关系[J]. 影像科学与光化学, 2020, 38(4): 734-738.
8 刘丽娟, 赵 磊, 刘挨师. 双能量CT碘图评价中央型肺癌 放化疗疗效的临床研究[J]. 实用放射学杂志, 2020, 36(9): 1383-1387.
9 张 峥, 毛燕君. 多学科团队护理模式在肺癌患者行CT引导下射频消融术围术期的应用效果[J]. 解放军护理杂志, 2022, 39(2): 80-83.
10 符启茂, 林昌昆, 郑 桦, 等. 西门子双源CT评估肺癌纵隔淋巴结转移的规律分析[J/CD]. 中华肺部疾病杂志(电子版), 2022, 15(3): 367-369.
11 Sun YJ, Lou J, Xu QL, et al. Comparison of clinical diagnostic value of spiral CT with different dose in patients with early-stage peripheral lung cancer[J]. Clin Transl Oncol, 2021, 23(6): 1128-1133.
12 Gawlitza J, Henzler T, Trinkmann F, et al. COPD imaging on a 3rd generation dual-source CT: acquisition of paired inspiratory-expiratory chest scans at an overall reduced radiation risk[J]. Diagnostics(Basel), 2020, 10(12): 1106.
13 Singh B, Spence R, Steele ML, et al. Exercise for individuals with lung cancer: a systematic review and meta-analysis of adverse events, feasibility, and effectiveness[J]. Sem Oncol Nurs, 2020, DOI:10.1016/j.soncn.2020.151076.
14 Kaliatsi EG, Argyriou AI, Bouras G, et al. Functional and structural aspects of la protein overexpression in lung cancer[J]. J Mol Biol, 2020, 432(24): 166712.
15 Cochrane A, Reid O, Woods S, et al. Variables associated with distress amongst informal caregivers of people with lung cancer: A systematic review of the literature[J]. Psychooncology, 2021, 30(8): 1246-1261.
16 Wang Z, Zhou C, Yang S. The roles, controversies, and combination therapies of autophagy in lung cancer[J]. Cell Biol Int, 2022, 46(1): 3-11.
17 Bordoloi D, Padmavathi G, Banik K, et al. Human tumor necrosis factor alpha-induced protein eight-like 1 exhibited potent anti-tumor effect through modulation of proliferation, survival, migration and invasion of lung cancer cells[J]. Mol Cell Biochem, 2021, 476(9): 3303-3318.
18 Sainz de Aja J, Dost AFM, Kim CF. Alveolar progenitor cells and the origin of lung cancer[J]. J Intern Med, 2021, 289(5): 629-635.
19 Sato T, Shimada Y, Mimae T, et al. The impact of pathological lymph node metastasis with lymphatic invasion on the survival of patients with clinically node-negative non-small cell lung cancer: A multicenter study[J]. Lung Cancer, 2021, 158: 9-14.
20 Ma D, Zhang Y, Shao X, et al. PET/CT for predicting occult lymph node metastasis in gastric cancer[J]. Curr Oncol, 2022, 29(9): 6523-6539.
21 Huang Y, Jiang X, Xu H, et al. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on 18F-FDG PET/CT radiomics[J]. Clin Radiol: J Royal Coll Radiol, 2023, 78(1): 8-17.
22 Pascal AT. Development of radiomics models to predict lymph node metastasis and de-escalated non-small-cell lung cancer surgery: a word of caution[J]. Eur J Cardio-thoracic Surg, 2021, 60(1): 72-73.
23 Suga K. F-18-FDG PET/CT findings of paraneoplastic dermatoses[J]. Jpn J Radiol, 2022, 40(9): 863-875.
24 Kukhon FR, Lan X, Helgeson SA, et al. Occult lymph node metastasis in radiologic stage I non-small cell lung cancer: The role of endobronchial ultrasound[J]. Clin Respir J, 2021, 15(6): 676-682.
25 Nakahashi K, Shiono S, Nakatsuka M, et al. Prediction of lymph node metastasis of clinical stage IA non-small cell lung cancer based on the tumor volume doubling time[J]. Surg Today, 2022, 52(7): 1063-1071.
26 Jun H, Lan L, Liu LS, et al. The diagnostic value of metabolic, morphological and heterogeneous parameters of 18 F-FDG PET/CT in mediastinal lymph node metastasis of non-small cell lung cancer[J]. Nucl Med Communicat, 2021, 42(11): 1247-1253.
27 Yin G, Song Y, Li X, et al. Prediction of mediastinal lymph node metastasis based on 18F-FDG PET/CT imaging using support vector machine in non-small cell lung cancer[J]. Eur Radiol, 2021, 31(6): 3983-3992.
28 Shi YM, Niu R, Shao XL, et al. Tumor-to-liver standard uptake ratio using fluorine-18 fluorodeoxyglucose positron emission tomography computed tomography effectively predict occult lymph node metastasis of non-small cell lung cancer patients[J]. Nucl Med Commun, 2020, 41(5): 459-468.