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《中华肺部疾病杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:

期数:

2023年03期

页码:

406-408

栏目:

短篇论著

出版日期:

2023-06-20

文章信息/Info

Title:

-

作者:

邢海东¹; 胡满意²; 许贺松³; 李 强⁴

100062 北京,北京市普仁医院放射科¹
101499 北京,北京怀柔医院放射科²
100071 北京,北京市丰台区中医医院放射科³
100034 北京,北京大学第一医院呼吸内科⁴

Author(s):

-

关键词:

肺磨玻璃结节;  生长倾向;  ROC曲线;  预测意义

Keywords:

-

分类号:

R563

DOI:

10.3877/cma.j.issn.1674-6902.2023.03.029

摘要:

-

Abstract:

-

参考文献/References:

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3 范子文, 谢 冬, 姜格宁, 等. 肺磨玻璃结节自然生长史研究进展[J]. 中国胸心血管外科临床杂志, 2019, 26(2): 175-179.
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6 Li CD, Huang ZG, Sun HL, et al. CT-guided preoperative localization of ground glass nodule: comparison between the application of embolization microcoil and the locating needle designed for pulmonary nodules[J]. Br J Radiol, 2021, 94(1123): 20210193.
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8 薛丽敏, 李 瀛, 强金伟, 等. 基于靶扫描和常规扫描CT图像的影像组学模型预测肺磨玻璃结节的2年生长[J]. 复旦学报:医学版, 2021, 48(6): 739-747.
9 Anyasodor AE, Nwose EU, Bwititi PT, et al. Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria[J]. Front Public Health, 2022, 10: 932631.
10 孟俊祥, 柏正尧, 计雪伟. 基于CT影像分析的肺部疾病辅助诊断系统应用研究[J]. 中国数字医学, 2019, 14(3): 92-96.
11 杨兴云, 宋立江, 王 涛, 等. 多层螺旋CT图像后处理技术在肺部结节鉴别诊断中的应用研究[J]. 中国医学装备, 2019, 16(8): 33-36.
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13 Kobayashi Y, Sakao Y, Deshpande GA, et al. The association between baseline clinical-radiological characteristics and growth of pulmonary nodules with ground-glass opacity[J]. Lung Cancer, 2014, 83(1): 61-66.
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15 Kakinuma R, Muramatsu Y, Kusumoto M, et al. Solitary pure ground-glass nodules 5 mm or smaller: Frequency of growth[J]. Radiology, 2015, 276(3): 873-882.
16 Cho J, Kim ES, Kim SJ, et al. Long-term follow-up of small pulmonary ground-glass nodules stable for 3 years: implications of the proper follow-up period and risk factors for subsequent growth[J]. J Thorac Oncol, 2016, 11(9): 1453-1459.
17 Shi Z, Deng J, She Y, et al. Quantitative features can predict further growth of persistent pure ground-glass nodule[J]. Quant Imaging Med Surg, 2019, 9(2): 283-291.
18 Miyanaga N, Akaza H, Yamakawa M, et al.Tissue elasticity imaging for diagnosis of prostate cancer: a preliminary report[J]. Int J Urol, 2006, 13(12): 1514-1518.
19 Zhang Y, Shen Y, Qiang JW, et al. HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules[J]. Eur Radiol, 2016, 26(9): 2921-2928.
20 Thawani R, McLane M, Beig N, et al. Radiomics and radiogenomics in lung cancer: A review for the clinician[J]. Lung Cancer, 2018, 115: 34-41.
21 Chen G, Jiao D, Peng S, et al. Peritumoral abnormalities on dynamic-enhanced CT after brachytherapy for hepatic malignancies: local progression or benign changes?[J]. Eur Radiol, 2022, 32(10): 7307-7319.
22 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.
23 Zheng H, Zhang H, Wang S, et al. Invasive Prediction of Ground Glass Nodule Based on Clinical Characteristics and Radiomics Feature[J]. Front Genet, 2022, 12: 783391.
24 Fan L, Fang M, Li Z, et al. Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule[J]. Eur Radiol, 2019, 29(2): 889-897.
25 Sun Q, Huang Y, Wang J, et al. Applying CT texture analysis to determine the prognostic value of subsolid nodules detected during low-dose CT screening[J]. Clin Radiol, 2019, 74(1): 59-66.
26 Hu X, Ye W, Li Z, et al. Non-invasive evaluation for benign and malignant subcentimeter pulmonary ground-glass nodules(≤1 cm)based on CT texture analysis[J]. Br J Radiol, 2020, 93(1114): 20190762.
27 Bandara MS, Gurunayaka B, Lakraj G, et al. Ultrasound Based Radiomics Features of Chronic Kidney Disease[J]. Acad Radiol, 2022, 29(2): 229-235.
28 YaSar S, Voyvoda N, Voyvoda B, et al. Using texture analysis as a predictive factor of subtype, grade and stage of renal cell carcinoma[J]. Abdom Radiol(NY), 2020, 45(11): 3821-3830.
29 Yan M, Wang W. A Non-invasive Method to Diagnose Lung Adenocarcinoma[J]. Front Oncol, 2020, 10: 602.
30 Tao G, Yin L, Shi D, et al. Dependence of radiomic features on pixel size affects the diagnostic performance of radiomic signature for the invasiveness of pulmonary ground-glass nodule[J]. Br J Radiol, 2021, 94(1118): 20200089.

备注/Memo

备注/Memo:

通信作者: 邢海东, Email: xhdlxy1987@126.com

常用功能

更新日期/Last Update: 2023-06-20