肺结节恶性风险评估方法的研究进展
摘要
<正>肺结节被认为是肺癌的早期形态。它是一种边界清楚,发生在肺内,直径≤3 cm的局灶性、圆形或类圆形高密度阴影,周围完全被充气肺组织包围,可单发,也可多发。由于多数肺结节患者早期无明显临床症状和体征,所以常常不被重视,仅在临床体检时偶然发现。目前,肺癌是世界上发病率和病死率最高的恶性肿瘤之一,每年有100多万美国人检测到肺结节,1/4偶然发现的肺结节患者经历了临床检查的痛苦,目前临床有关癌症风险和预测评估的现有设备和知识储备
引文
[1] Freiman M R,Clark J A,Slatore C G,et al. Patients'knowledge,beliefs,and distress associated with detection and evaluation of incidental pulmonary nodules for cancer:results from a multicenter survey[J]. J Thorac Oncol,2016,11(5):700-708.
[2] Aberle D R,Adams A M,Berg C D,et al. Reduced lung-cancer mortality with low-dose computed tomographic screening[J]. N Engl J Med,2011,365(5):395-409.
[3] Christopher G. Slatore,renda soylemez wiener. Pulmonary nodules[J]. Chest Pulmonary Nodules,2018,153(4):1004-1015.
[4] Wahidi M M,Govert J A,Goudar R K,et al. American College of Chest Physicians. Evidence for the treatment of patients with pulmonary nodules:when is it lung cancer? ACCP evidence-based clinical practice guidelines(2 nd edition)[J]. Chest,2007,132(3 Suppl):94-107.
[5] Mac Mahon 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[J]. Radiology,2017,284(1):228-243.
[6]董诗坤,杨晶月,赵诚,等.肺癌与吸烟、二手烟及其他因素的相关分析[J].影像研究与医学应用,2017,1(5):35-38.
[7]张贺龙,刘文超.临床肿瘤学[M].西安:第四军医大学出版社,2015:219-220.
[8] Haiman C A,Stram D O,Wilkens L R,et al. Ethnic and racial differences in the smoking-related risk of lung cancer[J]. N Engl J Med,2006,354(4):333-342.
[9] He Y T,Zhang Y C,Shi G F,et al. Risk factors for pulmonary nodules in north China:A prospective cohort study[J]. Lung Cancer,2018,120(6):122-129.
[10] Flavell R R,Behr S C,Mabray M C,et al. Detecting pulmonary nodules in lung cancer patients using whole body fdg PET/CT,high-resolution lung reformat of FDG PET/CT,or diagnostic breath hold chest CT[J]. Academic Radiology,2016,23(9):1123-1129.
[11]杨春然,郭翌,汪源源.基于影像组学的肺结节恶性程度预测[J].肿瘤影像学,2017,26(2):97-100.
[12]来成明.多层CT显示肺结节细分叶征及其对孤立性肺结节的诊断分析[J].吉林医学,2012,33(32):6982-6983.
[13] Ru Zhao Y,Xie X,de Koning H J,et al. NELSON lung cancer screening study[J]. Cancer Imaging,2011,11(1A):79-84.
[14] Horeweg N,van Rosmalen J,Heuvelmans M A,et al.Lung cancer probability in patients with CT-detected pulmonary nodules:a prespecified analysis of data from the NELSON trial of low-dose CT screening[J]. Lancet Oncol,2014,15(12):1332-1341.
[15] Snoeckx A,Reyntiens P,Desbuquoit D,et al. Evaluation of the solitary pulmonary nodule:size matters,but do not ignore the power of morphology[J]. Insights Imaging,2018,9(1):73-86.
[16] Bartholmai B J,Koo C W,Johnson G B,et al. Pulmonary nodule characterization,including computer analysis and quantitative features[J]. J Thorac Imaging,2015,30(2):139-156.
[17]陈训贵,桑强章,吴成.肺肿瘤标记物检测联合MSCT检查对孤立性肺结节诊断价值[J].世界最新医学信息文摘,2018,18(15):27-28.
[18] Catharina M. KORSE,Stefan HOLDENRIEDER,Xiuyi ZHI,等.一项在欧洲和中国进行的新型胃泌素释放肽前体(Pro GRP)免疫检测多中心评估研究[J].中国肺癌杂志,2017,19(8):568-577.
[19] Mc Nitt Gray M F,Hart E M,Wyckoff N,A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT:preliminary results[J]. Med Phys,1999,26(6):880-888.
[20]胡召锁,李树锦,谢曙文.多种肿瘤标志物联检诊断孤立性肺结节的临床应用价值分析[J].国际检验医学杂志,2017,38(24):3424-3428.
[21]张亚娟,张健鹏,常德,等. CEA、纤维蛋白原对孤立性肺结节良恶性诊断价值[J].中华灾害救援医学,2017,5(3):138-142.
[22] Kupert E,Anderson M,Liu Y,et al. Plasma secretory phospholipase A2-IIa as a potential biomarker for lung cancer in patients with solitary pulmonary nodules[J].BMC Cancer,2011,11:513.
[23]章智荣,毛友生.孤立性肺结节病变的诊断与处理策略[J].中国肺癌杂志,2013,16(9):499-508.
[24]赵义刚,宋波.锝99-甲氧基乙腈亲肿瘤显像联合血清肿瘤标志物诊断肺结节良恶性的临床价值[J].标记免疫分析与临床,2016,23(7):742-743.
[25]王琳,吴传勇,娄加陶.肿瘤标记物检测在肺部孤立性结节鉴别诊断中的价值[J].现代免疫学,2016,36(5):405-409.
[26] Eberhardt R,Morgan R K,Ernst A,et al. Comparison of suction catheter versus forceps biopsy for sampling of solitary pulmonary nodules guided by electromagnetic navigational bronchoscopy[J]. Respiration,2010,79(1):54-60.
[27] Vachani A,Pass H I,Rom W N,et al. Validation of a multiprotein plasma classifier to identify benign lung nodules[J]. J Thorac Oncol,2015,10(4):629-637.
[28] Ferguson J S,Van Wert R,Choi Y,et al. Impact of a bronchial genomic classifier on clinical decision making in patients undergoing diagnostic evaluation for lung cancer[J]. BMC Pulm Med,2016,16(1):66.
[29] Bouvier E,Cohen E,Najman L. From crowd simulation to airbag deployment:particle systems,a new paradigm of simulation[J]. J Electronic Imaging,1997,6(1):94-107.
[30] Helbing D,Farkas I,Vicsek T. Simulating dynamical features of escape panic[J]. Nature,2000,407(6803):487-490.
[31] Mc Williams A,Tammemagi M C,Mayo J R,et al.Probability of cancer in pulmonary nodules detected on first screening CT[J]. N Engl J Med,2013,369(10):910-919.
[32] van Riel S J,Ciompi F,Winkler Wille M M,et al.Malignancy risk estimation of pulmonary nodules in screening CTs:Comparison between a computer model and human observers[J]. PLo S One,2017,12(11):1-15.
[33] Baldwin D R,Callister M E J. Physician assessment of pretest probability of malignancy and adherence to guidelines for pulmonary nodule evaluation[J]. Chest,2017,152(2):447-448.
[34] Gould M K,Donington J,Lynch W R,et al. Evaluation of individuals with pulmonary nodules:when is it lung cancer? Diagnosis and management of lung cancer,3rd ed:American College of Chest Physicians evidencebased clinical practice guidelines[J]. Chest,2013,143(5 Suppl):93-120.
[35] 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[J]. Chest,2014,145(3):464-472.
[36] Deppen S A,Grogan E L. Using clinical risk models for lung nodule classification[J]. Semin Thorac Cardiovasc Surg,2015,27(1):30-35.
[37] Mai C,Verleden S E,Mc Donough J E,et al. Thinsection CT features of idiopathic pulmonary fibrosis correlated with Micro-CT and histologic analysis[J]. Radiology,2017,283(1):264-272.
[38]裴博,强彦,赵涓涓.一个基于PET/CT的孤立性肺结节恶性概率的预测模型[J].计算机应用与软件,2015,32(12):170-174.
[39] Wang X,Xu Y H,Du Z Y,et al. Risk factor analysis of the patients with solitary pulmonary nodules and establishment of a prediction model for the probability of malignancy[J]. Zhonghua Zhong Liu Za Zhi,2018,40(2):115-120.
[40] Takano T,Elimam H,Cybulsky A V. Complement-mediated,cellular injury[J]. Semin Nephrol,2013,33(6):586-601.
[41] Bai C,Choi C M,Chu C M,et al. Evaluation of pulmonary nodules:clinical practice consensus guidelines for asia[J]. Chest,2016,150(4):877-893.
[2] Aberle D R,Adams A M,Berg C D,et al. Reduced lung-cancer mortality with low-dose computed tomographic screening[J]. N Engl J Med,2011,365(5):395-409.
[3] Christopher G. Slatore,renda soylemez wiener. Pulmonary nodules[J]. Chest Pulmonary Nodules,2018,153(4):1004-1015.
[4] Wahidi M M,Govert J A,Goudar R K,et al. American College of Chest Physicians. Evidence for the treatment of patients with pulmonary nodules:when is it lung cancer? ACCP evidence-based clinical practice guidelines(2 nd edition)[J]. Chest,2007,132(3 Suppl):94-107.
[5] Mac Mahon 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[J]. Radiology,2017,284(1):228-243.
[6]董诗坤,杨晶月,赵诚,等.肺癌与吸烟、二手烟及其他因素的相关分析[J].影像研究与医学应用,2017,1(5):35-38.
[7]张贺龙,刘文超.临床肿瘤学[M].西安:第四军医大学出版社,2015:219-220.
[8] Haiman C A,Stram D O,Wilkens L R,et al. Ethnic and racial differences in the smoking-related risk of lung cancer[J]. N Engl J Med,2006,354(4):333-342.
[9] He Y T,Zhang Y C,Shi G F,et al. Risk factors for pulmonary nodules in north China:A prospective cohort study[J]. Lung Cancer,2018,120(6):122-129.
[10] Flavell R R,Behr S C,Mabray M C,et al. Detecting pulmonary nodules in lung cancer patients using whole body fdg PET/CT,high-resolution lung reformat of FDG PET/CT,or diagnostic breath hold chest CT[J]. Academic Radiology,2016,23(9):1123-1129.
[11]杨春然,郭翌,汪源源.基于影像组学的肺结节恶性程度预测[J].肿瘤影像学,2017,26(2):97-100.
[12]来成明.多层CT显示肺结节细分叶征及其对孤立性肺结节的诊断分析[J].吉林医学,2012,33(32):6982-6983.
[13] Ru Zhao Y,Xie X,de Koning H J,et al. NELSON lung cancer screening study[J]. Cancer Imaging,2011,11(1A):79-84.
[14] Horeweg N,van Rosmalen J,Heuvelmans M A,et al.Lung cancer probability in patients with CT-detected pulmonary nodules:a prespecified analysis of data from the NELSON trial of low-dose CT screening[J]. Lancet Oncol,2014,15(12):1332-1341.
[15] Snoeckx A,Reyntiens P,Desbuquoit D,et al. Evaluation of the solitary pulmonary nodule:size matters,but do not ignore the power of morphology[J]. Insights Imaging,2018,9(1):73-86.
[16] Bartholmai B J,Koo C W,Johnson G B,et al. Pulmonary nodule characterization,including computer analysis and quantitative features[J]. J Thorac Imaging,2015,30(2):139-156.
[17]陈训贵,桑强章,吴成.肺肿瘤标记物检测联合MSCT检查对孤立性肺结节诊断价值[J].世界最新医学信息文摘,2018,18(15):27-28.
[18] Catharina M. KORSE,Stefan HOLDENRIEDER,Xiuyi ZHI,等.一项在欧洲和中国进行的新型胃泌素释放肽前体(Pro GRP)免疫检测多中心评估研究[J].中国肺癌杂志,2017,19(8):568-577.
[19] Mc Nitt Gray M F,Hart E M,Wyckoff N,A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT:preliminary results[J]. Med Phys,1999,26(6):880-888.
[20]胡召锁,李树锦,谢曙文.多种肿瘤标志物联检诊断孤立性肺结节的临床应用价值分析[J].国际检验医学杂志,2017,38(24):3424-3428.
[21]张亚娟,张健鹏,常德,等. CEA、纤维蛋白原对孤立性肺结节良恶性诊断价值[J].中华灾害救援医学,2017,5(3):138-142.
[22] Kupert E,Anderson M,Liu Y,et al. Plasma secretory phospholipase A2-IIa as a potential biomarker for lung cancer in patients with solitary pulmonary nodules[J].BMC Cancer,2011,11:513.
[23]章智荣,毛友生.孤立性肺结节病变的诊断与处理策略[J].中国肺癌杂志,2013,16(9):499-508.
[24]赵义刚,宋波.锝99-甲氧基乙腈亲肿瘤显像联合血清肿瘤标志物诊断肺结节良恶性的临床价值[J].标记免疫分析与临床,2016,23(7):742-743.
[25]王琳,吴传勇,娄加陶.肿瘤标记物检测在肺部孤立性结节鉴别诊断中的价值[J].现代免疫学,2016,36(5):405-409.
[26] Eberhardt R,Morgan R K,Ernst A,et al. Comparison of suction catheter versus forceps biopsy for sampling of solitary pulmonary nodules guided by electromagnetic navigational bronchoscopy[J]. Respiration,2010,79(1):54-60.
[27] Vachani A,Pass H I,Rom W N,et al. Validation of a multiprotein plasma classifier to identify benign lung nodules[J]. J Thorac Oncol,2015,10(4):629-637.
[28] Ferguson J S,Van Wert R,Choi Y,et al. Impact of a bronchial genomic classifier on clinical decision making in patients undergoing diagnostic evaluation for lung cancer[J]. BMC Pulm Med,2016,16(1):66.
[29] Bouvier E,Cohen E,Najman L. From crowd simulation to airbag deployment:particle systems,a new paradigm of simulation[J]. J Electronic Imaging,1997,6(1):94-107.
[30] Helbing D,Farkas I,Vicsek T. Simulating dynamical features of escape panic[J]. Nature,2000,407(6803):487-490.
[31] Mc Williams A,Tammemagi M C,Mayo J R,et al.Probability of cancer in pulmonary nodules detected on first screening CT[J]. N Engl J Med,2013,369(10):910-919.
[32] van Riel S J,Ciompi F,Winkler Wille M M,et al.Malignancy risk estimation of pulmonary nodules in screening CTs:Comparison between a computer model and human observers[J]. PLo S One,2017,12(11):1-15.
[33] Baldwin D R,Callister M E J. Physician assessment of pretest probability of malignancy and adherence to guidelines for pulmonary nodule evaluation[J]. Chest,2017,152(2):447-448.
[34] Gould M K,Donington J,Lynch W R,et al. Evaluation of individuals with pulmonary nodules:when is it lung cancer? Diagnosis and management of lung cancer,3rd ed:American College of Chest Physicians evidencebased clinical practice guidelines[J]. Chest,2013,143(5 Suppl):93-120.
[35] 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[J]. Chest,2014,145(3):464-472.
[36] Deppen S A,Grogan E L. Using clinical risk models for lung nodule classification[J]. Semin Thorac Cardiovasc Surg,2015,27(1):30-35.
[37] Mai C,Verleden S E,Mc Donough J E,et al. Thinsection CT features of idiopathic pulmonary fibrosis correlated with Micro-CT and histologic analysis[J]. Radiology,2017,283(1):264-272.
[38]裴博,强彦,赵涓涓.一个基于PET/CT的孤立性肺结节恶性概率的预测模型[J].计算机应用与软件,2015,32(12):170-174.
[39] Wang X,Xu Y H,Du Z Y,et al. Risk factor analysis of the patients with solitary pulmonary nodules and establishment of a prediction model for the probability of malignancy[J]. Zhonghua Zhong Liu Za Zhi,2018,40(2):115-120.
[40] Takano T,Elimam H,Cybulsky A V. Complement-mediated,cellular injury[J]. Semin Nephrol,2013,33(6):586-601.
[41] Bai C,Choi C M,Chu C M,et al. Evaluation of pulmonary nodules:clinical practice consensus guidelines for asia[J]. Chest,2016,150(4):877-893.