科研成果详情

题名胸膜下纯磨玻璃结节的位置及相关分型在诊断浸 润性腺癌的临床价值
其他题名Clinical value of location and related classification of pureground glass nodules under pleura in diagnosis of invasiveadenocarcinoma
作者
学位类型硕士
导师杨运俊
答辩日期2021-11-19
学位授予单位温州医科大学
学位专业影像医学与核医学
关键词肺肿物 腺癌 体层摄影术,X 线计算机
摘要背景和目的 近年来随着肺部低剂量 CT 筛查普遍展开、CT 成像技术的进展、人工智能 检测肺结节软件的应用,纯磨玻璃结节(Subpleural ground glass nodules,pGGN) 的检出率逐年增加。胸膜下 pGGN 属于手术的优势部位,对于早期肿瘤通常采 用楔形切除或局部切除就能达到根治目的,如果病理等级比较高,外科医生需要 根据实际情况扩大手术范围,甚至行肺叶切除。已有研究证实 CT 形态学特征与 周围肺腺癌的病理分类相关。因此胸膜下 pGGN 的影像学评估能一定程度上为 结节随访计划的制定或手术方式的选择提供重要参考价值。本研究探讨胸膜下纯 磨玻璃结节与胸膜的位置关系,并且通过分析影像学特点提高对胸膜下 pGGN 为肺腺癌的浸润性鉴别能力。 方法回顾性分析温州医科大学附属第一医院 2014 年 1 月至 2018 年 6 月经手术切 除病理证实为肺腺癌或其浸润前病变外周胸膜下 2 厘米之内的 pGGN 共 195 个 (192 例患者)。根据病理结果将其分为浸润前病变或微浸润腺癌组(PIL、MIA 组)、浸润性腺癌组(IAC 组)。搜集患者临床资料及影像学资料,由两名 CT 胸组高年资主治医师分别对图像进行分析评估,意见不同时通过协商取得一致。 主要评估内容包括:结节长径与短径、结节平均密度、边缘是否清晰、形态是否 规则、有无空泡征、分叶征、支气管充气征、毛刺征及血管集束征,并根据结节 与胸膜位置关系分为三型:I 型:与胸膜无关系;Ⅱ型:结节与胸膜相贴;Ⅲ型: 结节与胸膜线状牵拉。计量资料采用独立样本 t-检验或秩和检验;计数资料采用 卡方检验进行统计分析。单因素分析中 P<0.01 的变量将被纳入多因素 Logistic 回归模型分析 IAC 的独立预测因子。探讨预测 IAC 的危险因素,分析胸膜凹陷 在各型位置关系中产生的原因及诊断意义。P<0.05 为差异有统计学意义。 结果共包括 PIL、MIA 组 163 个、IAC 组 32 个。单因素分析显示结节长径、结 节短径、毛刺征、结节与胸膜的位置关系在两组患者之间具有显著统计学差异(P 温州医科大学硕士学位论文 <0.05);多因素 Logistic 回归模型,结果显示结节与胸膜关系Ⅲ型在两组间存 在统计学意义(OR=3.952,95%CI=0.794~5.674),为胸膜下 IAC 的独立预测因 子;年龄(OR=1.038;95%CI:1.000~1.076,P=0.048)、病灶的平均密度(OR =1.004;95%CI:1.001~1.007,P=0.018)、病灶边缘与胸膜距离(OR=0.684;95% CI:0.562~0.833,P<0.001)和肿瘤的胸膜牵连发生有关。 结论结节与胸膜关系Ⅲ型是胸膜下 pGGN 浸润程度的独立风险因子,结节与胸 膜关系分型有助于结节浸润程度的判断,可以指导随访计划和选择性手术治疗。 关键词肺肿物;腺癌;体层摄影术,X 线计算机
其他摘要Abstract Background and Objective Subpleural ground glass nodules (pGGN) have been increasingly detected in recent years with the widespread development of low-dose CT screening, the development of CT imaging technology and the application of artificial intelligence software for detecting pulmonary nodules. Subpleural pGGN is the preferred location for surgery, because wedge resection or local resection can generally achieve radical treatment for early-stage tumors. If the pathological grade is relatively high, surgeons need to expand the surgical scope according to the actual situation, or even perform lobectomy. It has been confirmed that CT morphological signs are associated with the pathological classification of peripheral lung adenocarcinoma. Therefore, imaging evaluation of subpleural pGGN can, to a certain extent, is valuable for making follow-up plans for nodules or selecting optimal surgical methods. In this study, we aimed to investigate the relationship between subpleural pGGN and pleura location, and improve the distinguish ability of invasiveness of subpleural pGGN from lung adenocarcinoma by analyzing the imaging characteristics. Methods We retrospectively reviewed 192 patients with 195 pGGN less than 2 cm which were pathologically confirmed to be lung adenocarcinoma or its preinvasive lesion in the First Affiliated Hospital of Wenzhou Medical University from January 2014 to June 2018. All pGGN were divided into preinvasive lesion (PIL), microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) groups according to pathological results. Clinical and image data of the patients were collected. The images were analyzed and evaluated by two senior attending physicians, and consensus was reached when opinions were different. We evaluated the following morphological characteristics of pGGN: long diameter and short diameter of nodules, 6温州医科大学硕士学位论文 average density of nodules, clear edge, regular shape, vacuolar sign, lobulation sign, bronchial inflation sign, burr sign and vascular cluster sign. The position relationship between nodules and pleura were divided into three types: no relationship with pleura (type 1); nodules attached to pleura (type 2); and linear traction of nodules with pleura (type 3). Continuous variables were evaluated using independent sample T-test or rank sum test. Categorical data were analyzed by Chi-square test. Variables with P < 0.01 in univariate analysis were incorporated into the multivariate logistic regression model for obtaining independent predictors of IAC. P < 0.05 was considered statistically significant. Results A total of 163 pGGN were found in PIL, MIA group and 32 in IAC group. Univariate analysis showed that there were significant differences in the long diameter of nodules, short diameter of nodules, burr sign and the position relationship between nodules and pleura between 2 groups (P < 0.05). Multivariate Logistic regression model demonstrated that nodule pleural relationship type III was statistically significant between the two groups (odds ratio = 3.952, 95% confidence interval = [0.794, 5.674], which was an independent predictor of subpleural IAC. Age (OR = 1.038; 95% CI: 1.000-1.076, P=0.048) and mean density of lesions (OR=1.004; 95% CI: 1.001-1.007, P=0.018) and the distance between the lesion edge and pleura (OR=0.684; 95% CI: 0.562~0.833, P < 0.001) were associated with pleural involvement of tumors. Conclusion Type III of the position relationship between nodules and pleura is an independent risk factor for the degree of subpleural pGGN invasion. The classification of the relationship between nodules and pleura is helpful for the judgment of the degree of nodular invasion and can guide follow-up planning and select surgical treatment. Keywords lung tumor; adenocarcinoma; tomography,X-ray compute
学号169001048
发布年限2021-12-17
毕业论文分类号R4
原始专题温州医科大学第一临床学院
学位论文研究方向胸膜下纯磨玻璃结节
参考文献[1] Chen W , Zhu D , Chen H , et al. Predictive model for the diagnosis of benign/malignant small pulmonary nodules[J]. Medicine, 2020, 99. [2] 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 [J]. Eur Radiol, 2019:10.1007/s00330-00019-06533-w. [3] Zappa C, Mousa SA. Non-small cell lung cancer: Current treatment and future advances [J]. Transl Lung Cancer Res, 2016,5(3):288-300. [4] Yip R, Henschke CI, Xu DM, et al. Lung cancers manifesting as part-solid nodules in the national lung screening trial [J]. AJR Am J Roentgenol, 2017,208(5):1011-1021. [5] Bak SH, Lee HY, Kim J-H, et al. Quantitative ct scanning analysis of pure ground-glass opacity nodules predicts further ct scanning change [J]. Chest, 2016,149(1):180-191. [6] Li Q, Fan L, Cao E-T, et al. Quantitative ct analysis of pulmonary pure ground-glass nodule predicts histological invasiveness [J]. Eur J Radiol, 2017,89(67-71. [7] Travis WD, Brambilla E, Nicholson AG, et al. The 2015 world health organization classification of lung tumors: Impact of genetic, clinical and radiologic advances since the 2004 classification [J]. J Thorac Oncol, 2015,10(9):1243-1260. [8] Wu F, Tian S-P, Jin X, et al. Ct and histopathologic characteristics of lung adenocarcinoma with pure ground-glass nodules 10 mm or less in diameter [J]. Eur Radiol, 2017,27(10):4037-4043. [9] Nemec U, Heidinger BH, Anderson KR, et al. Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography [J]. Eur Radiol, 2018,28(1):235-242. [10] 王春红, 许乙凯, 张晓东, et al. 孤立性肺结节与胸膜关系的 msct 评价 [J]. 临床放射学 杂志, 2016,v.35;No.308(03):50-53. [11] 庄远迪, 傅钢泽, 纪晓微, et al. 含空泡征肺小结节的 ct 征象与病理对照研究 [J]. 医学 影像学杂志, 2019,7):1135-1140. [12] Callister MEJ, Baldwin DR, Akram AR, et al. British thoracic society guidelines for the investigation and management of pulmonary nodules [J]. Thorax, 2015,70 Suppl 2(ii1-ii54. [13] 周莹, 刘士远, 李琼, et al. 临床ⅰa 期周围型肺腺癌病理性脉管浸润与其薄层 ct 征象的相 关性研究 [J]. 中华放射学杂志, 2015,49(4):259-263. [14] Lee S W, Leem C S, Kim T J, et al. The long-term course of ground-glass opacities detected 19温州医科大学硕士学位论文 20 on thin-section computed tomography. Respiratory Medicine 2013,107(6):904-910. [15] Cho J, Kim E S, Kim S J, 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. Journal of Thoracic Oncology 2016,11(9):1453-1459. [16] Bai C, Choi C M, Chu C M, et al. Evaluation of Pulmonary Nodules : Clinical Practice Consensus Guidelines for Asia. Chest 2016,150(4):877-893. [17] Mcwilliams A, Tammemagi M C, Mayo J R, et al. Probability of cancer in pulmonary nodules detected on first screening CT. N Engl J Med 2013,369(10):910-919. [18] Yang L, Zhang Q, Bai L, et al. Assessment of the cancer risk factors of solitary pulmonary nodules. Oncotarget 2017,8(17):29318-29327. [19] Chang H L, Cheng Y J, Su C K, et al. Association of estrogen receptor α gene PvuII and XbaI polymorphisms with non-small cell lung cancer. Oncology Letters 2012,3(2):462-468. [20] Kitami A, Sano F, Hayashi S, et al. Correlation between histological invasiveness and the computed tomography value in pure ground-glass nodules. Surgery Today 2016,46(5):1-6. [21] Snoeckx A , Reyntiens P , De Sbuquoit D , et al. Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology[J]. Insights Into Imaging, 2018. [22] 黄伟燕,陈建强. 肺小结节影像学研究进展[J]. 吉林医学, 2020, v.41(12):200-203. [23] Hu H, Wang Q, Tang H et al (2016) Multi-slice computed tomography characteristics of solitary pulmonary ground-glass nodules: differences between malignant and benign. Thorac Cancer 7:80–87. [24] 秦福兵, 中国医学计算机成像杂志 陆 J. 纯磨玻璃结节定量 ct 鉴别肺浸润性腺癌与浸 润前病变和微浸润腺癌 [J]. 中国医学计算机成像杂志, 2016,1):22-26,共 25 页. [25] Zwirewich CV, Vedal S, Miller RR, Müller NL (1991) Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation. Radiology 179:469–476. [26] Winer-Muram HT (2006) The solitary pulmonary nodule.Radiology 239:34–49. [27] Lee HY, Choi Y-L, Lee KS, et al. Pure ground-glass opacity neoplastic lung nodules: Histopathology, imaging, and management [J]. AJR Am J Roentgenol, 2014,202(3):W224-W233. [28] Zhang Y, Tang J, Xu J, et al. Analysis of pulmonary pure ground-glass nodule in enhanced dual energy ct imaging for predicting invasive adenocarcinoma: Comparing with conventional thin-section ct imaging [J]. J Thorac Dis, 2017,9(12):4967-4978. [29] Zhao Q, Wang J-W, Yang L, et al. Ct diagnosis of pleural and stromal invasion in malignant subpleural pure ground-glass nodules: An exploratory study [J]. Eur Radiol, 2019,29(1):279-286. [30] Liu Y, Balagurunathan Y, Atwater T, et al. Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules. Clinical Cancer Research 2016,23(6):1442-1449.温州医科大学硕士学位论文 [31] She Y, Zhao L, Dai C, et al. Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study. Oncotarget 2016,8(10):17229. [32] Yang C-C, Liu S-H, Mok GSP, et al. Evaluation of radiation dose and image quality of ct scan for whole-body pediatric pet/ct: A phantom study [J]. Med Phys, 2014,41(9):092505-092505. 参考文献 [1] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018;68:394-424. [1] Chen W , Zhu D , Chen H , et al. Predictive model for the diagnosis of benign/malignant small pulmonary nodules[J]. Medicine, 2020, 99. [2] The IASLC lung cancer staging project: Proposals for revision of the TNM stage groupings in the forthcoming (eighth) edition of the TNM Classification for lung cancer[J]. Journal of Thoracic Oncology, 2016, 11( 1):39-51. [3] 黄伟燕,陈建强. 肺小结节影像学研究进展[J]. 吉林医学, 2020, v.41(12):200-203. [4] Alpert J B, Lowry C M, Ko J P. Imaging the Solitary Pulmonary Nodule. Clinics in Chest Medicine 2015,36(2):161-178. [5] John G, Pamela M, Richard F, et al. Baseline findings of a randomized feasibility trial of lung cancer screening with spiral CT scan vs chest radiograph: the Lung Screening Study of the National Cancer Institute. Chest 2004,126(1):114-121. [6] Wahidi M M, Govert J A, Goudar R K, et al. Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition). Chest 2007,132(3 Suppl):94S-107S. [7] Matsuguma H , Mori K , Nakahara R , et al. Characteristics of Subsolid Pulmonary Nodules Showing Growth During Follow-up With CT Scanning[J]. Chest, 2013, 143(2):436-443. [8] Patel V K, Naik S K, Naidich D P, et al. A practical algorithmic approach to the diagnosis and management of solitary pulmonary nodules: part 1: radiologic characteristics and imaging modalities. Chest 2013,143(3):825-839. [9] 韦春晖.孤立性肺结节诊断和治疗新进展[J].当代医学,2018,24(05):181-183. [10] Liu S, Zhang M, Yang L, et al. Prevalence and patterns of tobacco smoking among Chinese adult men and women: findings of the 2010 national smoking survey. J Epidemiol Community Health 2017;71:154–61. [11] Li M, Liu X, Zhang L. The relationship of indoor coal use and environmental tobacco smoke exposure with lung cancer in China: a meta-analysis. J Cancer Res Therapeutics 2018;14:S7–13. [12] Lee S W, Leem C S, Kim T J, et al. The long-term course of ground-glass opacities detected on thin-section computed tomography. Respiratory Medicine 2013,107(6):904-910. [13] Cho J, Kim E S, Kim S J, et al. Long-Term Follow-up of Small Pulmonary Ground-Glass温州医科大学硕士学位论文 Nodules Stable for 3 Years: Implications of the Proper Follow-up Period and Risk Factors for Subsequent Growth. Journal of Thoracic Oncology 2016,11(9):1453-1459. [14] Macmahon H, Naidich D P, Goo J M, et al. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology 2017,284(1):228-243. [15] 吕文晖, 张龙江, 卢光明. Fleischner 协会关于 CT 影像上肺结节测量方法的指南解读[J]. 国际医学放射学杂志, 2017(06):78-83. [16] Petrick N, Kim H J, Clunie D, et al. Comparison of 1D, 2D, and 3D Nodule Sizing Methods by Radiologists for Spherical and Complex Nodules on Thoracic CT Phantom Images. Academic Radiology 2014,21(1):30-40. [17] Mehta H J, Ravenel J G, Shaftman S R, et al. The Utility of Nodule Volume in the Context of Malignancy Prediction for Small Pulmonary Nodules. Chest 2014,145(3):464-472. Swensen S J, Silverstein M D, Ilstrup D M, et al. The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. Archives of Internal Medicine 1997,157(8):849-855 [18] Gavrielides M A, Li Q, Zeng R, et al. Volume estimation of multidensity nodules with thoracic computed tomography. Journal of Medical Imaging 2016,3(1):013504. [19] Hoop B D , Ginneken B V , Gietema H , et al. Pulmonary Perifissural Nodules on CT Scans: Rapid Growth Is Not a Predictor of Malignancy[J]. Radiology, 2012, 265(2). [20] Haruhisa M, Kiyoshi M, Rie N, et al. Characteristics of subsolid pulmonary nodules showing growth during follow-up with CT scanning. Chest 2013,143(2):436-443. [21] 王华斌, 谢飞, 姚杰,等. 孤立性肺结节容积倍增时间在鉴别良恶性结节中的应用价值 [J]. 中国中西医结合影像学杂志, 2015, 13(006):647-648. [22] 周科峰, 朱斌, 秦国初,等. 倍增时间的测定在肺小结节随访中的应用价值[J]. 中国 CT 和 MRI 杂志, 2012(06):41-43. [23] 齐琳琳, 王建卫, 杨琳,等. 肺纯磨玻璃结节体积和质量倍增时间在鉴别浸润腺癌与微 浸润腺癌及浸润前病变中的作用[J]. 中华放射学杂志, 2017, 51(007):493-499. [24] 吴敬阳, 林良安, 江文坛,等. 倍增时间的测定在肺小结节病变随访中的应用价值研究 [J]. 中外医疗 2020 年 39 卷 14 期, 97-99 页, 2020. [25] Li F, Sone S, Abe H et al (2004) Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings. Radiology 233:793–798. [26] Edey AJ, Hansell DM (2009) Incidentally detected small pulmonary nodules on CT. Clin Radiol 64:872–884. [27] Takashima S, Sone S, Li F et al (2003) Small solitary pulmonary nodules (< or =1 cm) 37温州医科大学硕士学位论文 38 detected at population-based CT screening for lung cancer: reliable high-resolution CT features of benign lesions.Am J Roentgenol 180:955–964. [28] Winer-Muram HT (2006) The solitary pulmonary nodule.Radiology 239:34–49. [29] Snoeckx A , Reyntiens P , De Sbuquoit D , et al. Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology[J]. Insights Into Imaging, 2018. [30] Siegelman SS, Khouri NF, Scott WW et al (1986) Pulmonary hamartoma: CT findings. Radiology 160:313–317. [31] Zwirewich CV, Vedal S, Miller RR, Müller NL (1991) Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation. Radiology 179:469–476. [32] Voloudaki A E , Bouros D E , Froudarakis M E , et al. Crescentic and ring-shaped opacities. CT features in two cases of bronchiolitis obliterans organizing pneumonia (BOOP).[J]. Acta Radiologica, 1996, 37(3P2):889-92. [33] Zompatori M , Poletti V , Battista G , et al. Bronchiolitis obliterans with organizing pneumonia (BOOP), presenting as a ring-shaped opacity at HRCT (the atoll sign). A case report[J]. La radiologia medica, 1999, 97(4):308-310. [34] ZHAN X, ZHANG L, WANG Z, et al. Reversed Halo Sign: Presents in Different Pulmonary Diseases [J]. PLoS One, 2015, 10(6): e0128153. [35] Siegelman SS, Khouri NF, Scott WW et al (1986) Pulmonary hamartoma: CT findings. Radiology 160:313–317. [36] Diederich S, Wormanns D, Semik M et al (2002) Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic Smokers1. Radiology 222:773–781. [37] Mahoney MC, Shipley RT, Corcoran HL, Dickson BA (1990) CT demonstration of calcification in carcinoma of the lung. Am J Roentgenol 154:255–258. [38] Qiang J W, Zhou K R, Lu G, et al. The relationship between solitary pulmonary nodules and bronchi: multi-slice CT-pathological correlation. Clinical Radiology 2004,59(12):1121-1127. [39] Takashima S, Maruyama Y, Hasegawa M et al (2003) CT findings and progression of small peripheral lung neoplasms having a replacement growth pattern. Am J Roentgenol 180:817–826. [40] Hsu J-S, Han I-T, Tsai T-H et al (2016) Pleural tags on CT scans to predict visceral pleural invasion of non–small cell lung cancer that does not about the pleura. Radiology 279:590–596. [41] Hu H, Wang Q, Tang H et al (2016) Multi-slice computed tomography characteristics of solitary pulmonary ground-glass nodules: differences between malignant and benign. Thorac Cancer 7:80–87. [42] Xing W , Sun H , Yan C , et al. A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary温州医科大学硕士学位论文 nodules[J]. BMC Cancer, 2021, 21(1). [43] Gillies R J , Kinahan P E , Hricak H . Radiomics: Images Are More than Pictures, They Are Data[J]. Radiology, 2015, 278(2):151169. [44] Zhao W, Xu YN, Yang ZM, Sun YL, Li C, Jin L, Gao P, He WJ, Wang PJ, Shi HL, Hua YQ, Li M. Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules. Eur J Radiol 2019;112:161-8. [45] Liu A , Wang Z , Yang Y , et al. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram[J]. Cancer Commun (Lond), 2020, 40: 16-24. [46] Lee HY, Coo JM, Lee HJ, et al. Usefulness of concurrent reading using thin- section and thic- section CT images in subcentimetre solitary pulmonary nodules[J]. Clin Radial, 2009,64(2):127-132. [47] 耿国军,于修义,姜杰,等.胸腔镜手术 3D 与 2D 模式下治疗孤 立性肺结节的病例对照研 究[J]. 中国胸心血管外科临床杂 志,2015,11(7):664-667. [48] Gabriella S, Mattia B, Marta R, et al. Clinical utility of a plasma-based miRNA signature classifier within computed tomography lung cancer screening: a correlative MILD trial study. Journal of Clinical Oncology Official Journal of the American Society of Clinical Oncology 2014,32(8):768-773. [49] Francesca M, Matteo Jacopo M, Fabio D, et al. miR-Test: a blood test for lung cancer early detection. Journal of the National Cancer Institute 2015,107(6):djv063. [50] Ilie M, Hofman V, Long-Mira E, et al. "Sentinel" circulating tumor cells allow early diagnosis of lung cancer in patients with chronic obstructive pulmonary disease. Plos One 2018,9(10):e111597. [51] 王欣悦, 孙奋勇. 循环肿瘤 DNA 甲基化用于肿瘤诊断和预后的研究进展[J]. 中华检验 医学杂志, 2021, 44(05):426-429. [52] Raquel C, Ana C, António A, et al. Circulating DNA: diagnostic tool and predictive marker for overall survival of NSCLC patients. Plos One 2012,7(6):e38559. [53] Gabriella S, Luca R, Davide C, et al. Plasma DNA quantification in lung cancer computed tomography screening: five-year results of a prospective study. Am J Respir Crit Care Med 2009,179(1):69-74. [54] 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;284:228–43.
全文文件名169001048陈中港2021影像医学与核医学.pdf
文献类型学位论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/175636
专题温州医科大学
作者单位
溫州医科大学温州医科大学第一临床学院
第一作者单位温州医科大学
推荐引用方式
GB/T 7714
陈中港. 胸膜下纯磨玻璃结节的位置及相关分型在诊断浸 润性腺癌的临床价值[D]. 温州医科大学,2021.

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