51黑料吃瓜在线观看,51黑料官网|51黑料捷克街头搭讪_51黑料入口最新视频

設(shè)為首頁 |  加入收藏
首頁首頁 期刊簡介 消息通知 編委會 電子期刊 投稿須知 廣告合作 聯(lián)系我們
基于肺部多模態(tài)圖像診斷惡性肺結(jié)節(jié)的影響因素

Influencing factors of malignant pulmonary nodules based on lung multimodal images

作者: 佟超  馮巍  韓勇  李偉銘  陶麗新  郭秀花  
單位:首都醫(yī)科大學公共衛(wèi)生學院(北京100069) <p>北京市臨床流行病學重點實驗室(北京100069)</p> <p>通信作者:郭秀花.E-mail: [email protected]</p> <p>&nbsp;</p>
關(guān)鍵詞: 惡性肺結(jié)節(jié);危險因素;Logistic回歸;腫瘤  
分類號:R318.04 <p>&nbsp;</p>
出版年·卷·期(頁碼):2022·41·1(38-41)
摘要:

目的探討多模態(tài)影像參數(shù)在判斷肺結(jié)節(jié)良、惡性中的應用價值。方法收集來自首都醫(yī) 科大學宣武醫(yī)院及北京市腫瘤防治研究所肺占位患者病例326例,包括115例良性病例,211例惡性病 例。記錄多模態(tài)影像指標,包括結(jié)節(jié)大小、最大標準攝取值(maximum standard uptake value,SUVmax)、 磨玻璃樣變、邊緣光滑、有暈征、分葉征、毛刺征、鈣化共計8個指標,通過多因素Logistic回歸分析篩選 出基于肺部多模態(tài)圖像的惡性肺結(jié)節(jié)的影響因素。結(jié)果多因素Logistic回歸分析顯示,結(jié)節(jié)大小、 SUVmax、分葉征、毛刺征為惡性肺結(jié)節(jié)的危險因素,相應的OR值分別為1. 31 ( 1. 03 ~ 1. 65)、1. 10 (1.03-1. 18)、7. 27(3. 57~ 14. 82),3. 16(1. 47-6. 83) o結(jié)節(jié)鈣化為惡性肺結(jié)節(jié)的保護因素,OR值為 0. 13(0. 05-0. 32)。結(jié)論結(jié)節(jié)大、SUVmax值大、存在分葉征、存在毛刺征、結(jié)節(jié)無鈣化提示肺結(jié)節(jié)為惡 性結(jié)節(jié)的可能性較大。

 

Objective  To explore the value of multimodal imaging parameters in determining benign and malignant pulmonary nodules. Methods This study collected pulmonary occupying patients from Xuanwu Hospital of Capital Medical University and Beijing Institute of Cancer Prevention and Treatment. A total of 326 cases were collected in this study, including 115 benign cases and 211 malignant cases.Multi-modal imaging indicators were recorded, including nodule size, maximum standard uptake value (SUVmax), ground glass nodules, margin, halo, lobular, spicule, and calcification. Multivariate Logistic regression analysis was used to screen out the influencing factors of malignant pulmonary nodules based on multi-modal images. Results Multivariate Logistic regression analysis showed that nodule size, SUVmax, lobular and spicule were risk factors for malignant pulmonary nodules, and the corresponding OR values were 1.31(1.03-1.65), 1.10(1.03-1.18), 7.27(3.57-14.82), 3.16(1.47-6.83). Calcification was a protective factor for malignant pulmonary nodules, with an OR value of 0.13(0.05-0.32). Conclusions Large nodules, large SUVmax values, lobular signs, burr signs, and no calcification of the nodules suggest that lung nodules are more likely to be malignant nodules.

 

參考文獻:

[1]Torre LA, Siegel RL, Jemal A. Lung cancer statistics[J]. Advances in Experimental Medicine and Biology, 2016, 893: 1-19.

[2]Walter JE, Heuvelmans MA, Ten Haaf K, et al. Persisting new nodules in incidence rounds of the NELSON CT lung cancer screening study[J]. Thorax, 2019, 74(3): 247-253.

[3]Koning HJ, Aalst CM, Jong PA, et al. Reduced lung-cancer mortality with volume CT screening in a randomized Trial[J]. New England Journal of Medicine, 2020, 382(6): 503-513.

[4]Yousaf-Khan U, Aalst C, Jong PA, et al. Risk stratification based on screening history: the NELSON lung cancer screening study[J]. Thorax, 2017, 72(9): 819-824.

[5]Rojewski AM, Tanner NT, Dai L, et al. Tobacco dependence predicts higher lung cancer and mortality rates and lower rates of smoking cessation in the national lung screening trial[J]. Chest, 2018, 154(1): 110-118.

[6]陳文. 醫(yī)學影像技術(shù)研究進展及其發(fā)展趨勢[J]. 實用醫(yī)學影像雜志, 2016, 17(3): 254-258.

Chen W.?Research progress and development trend of medical imaging technology[J]. Journal of Practical Medical Imaging, 2016, 17(3): 254-258.

[7]Hong QY, Wu GM, Qian GS, et al. Prevention and management of lung cancer in China[J]. Cancer, 2015, 17:3080-3088.

[8]孫政,李綱,王洪軍等. 徐州市銅山區(qū)肺癌影響因素的病例對照研究[J].?中國腫瘤, 2013, 22(4): 266-269.

Sun Z, Li G, Wang HJ, et al. A case-control study on the influencing factors of lung cancer in Tongshan District, Xuzhou City[J]. China Cancer, 2013, 22(4): 266-269.

[9]Malhotra J, Malvezzi M, Negri E, et al. Risk factors for lung cancer worldwide[J]. European Respiratory Journal, 2016, 48(3): 889-902.

[10]黃萌, 陳星, 邱月鋒等.?肺癌危險因素及交互作用研究[J], 中華疾病控制雜志, 2011,?15(2):91-94.

Huang M, Chen X, Qiu YF, et al. Study on influencing factors and their interactions for lung cancer?[J]. Chinese Journal of Disease Control & Prevention, 2011, 15(2):91-94.

[11]?劉偉潔.?新確診肺癌患者戒煙效果及影響因素[J].?山東醫(yī)藥, 2015,?55(39):?112-113.

[12]耿睿, 孫宵, 李超等.?臨床因素與CT影像學特征對判斷孤立性肺結(jié)節(jié)良、惡性的價值[J]. 寧夏醫(yī)科大學學報, 2019, 41(05): 517-521.

Geng R, Sun X, Li C, et al. Value of clinical factors and CT imaging features in the diagnosis of benign and malignant solitary pulmonary nodules [J]. Journal of Ningxia Medical University, 2019, 41(05): 517-521.

[13]王晶晶, 高妮, 梁志剛等.?肺結(jié)節(jié)患者影像學特征分析[J]. 北京生物醫(yī)學工程,?2015,34(1):85-89.

Wang JJ, Gao N, Liang ZG, et al. Analysis based on imaging characteristics in patient with pulmonary nodules [J]. Beijing Biomedical Engineering, 2015,34(1):85-89.

[14]張子洲, 朱曄涵, 章斌.?PET-CT顯像中SUVmax在非小細胞肺癌診斷中的價值[J]. 江蘇醫(yī)藥, 2012, 38(4): 447-450.

Zhang ZZ, Zhu HH, Zhang B. The value of SUVmax in the diagnosis of non-small cell lung cancer[J]. Jiangsu Medical Journal, 2012, 38(4): 447-450.

Nambu A, Fau-Sato YKS, Fau-Okuwaki HST, et al. Relationship between maximum standardized uptake value (SUVmax) of lung cancer and lymph node metastasis on FDG-PET[J].?European Respiratory Journal, 2016, 48(3): 889-902.

服務與反饋:
文章下載】【加入收藏
提示:您還未登錄,請登錄!點此登錄
 
友情鏈接  
地址:北京安定門外安貞醫(yī)院內(nèi)北京生物醫(yī)學工程編輯部
電話:010-64456508  傳真:010-64456661
電子郵箱:[email protected]