{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T19:56:35Z","timestamp":1769111795953,"version":"3.49.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81220108007"],"award-info":[{"award-number":["81220108007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"crossref","award":["4122018"],"award-info":[{"award-number":["4122018"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"crossref","award":["7174282"],"award-info":[{"award-number":["7174282"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s10916-019-1175-y","type":"journal-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T04:03:16Z","timestamp":1548993796000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma"],"prefix":"10.1007","volume":"43","author":[{"given":"Han","family":"Liu","sequence":"first","affiliation":[]},{"given":"Bin","family":"Jing","sequence":"additional","affiliation":[]},{"given":"Wenjuan","family":"Han","sequence":"additional","affiliation":[]},{"given":"Zhuqing","family":"Long","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Mo","sequence":"additional","affiliation":[]},{"given":"Haiyun","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,1]]},"reference":[{"issue":"5","key":"1175_CR1","doi-asserted-by":"publisher","first-page":"277","DOI":"10.3322\/caac.20073","volume":"60","author":"A Jemal","year":"2010","unstructured":"Jemal, A., Siegel, R., Xu, J. et al., Cancer statistics, 2010. CA Cancer J. Clin. 60(5):277\u2013300, 2010.","journal-title":"CA Cancer J. Clin."},{"issue":"1","key":"1175_CR2","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1378\/chest.128.1.452","volume":"128","author":"P Yang","year":"2005","unstructured":"Yang, P., Allen, M. S., Aubry, M. C. et al., Clinical features of 5,628 primary lung cancer patients: Experience at Mayo Clinic from 1997 to 2003. Chest 128(1):452\u2013462, 2005.","journal-title":"Chest"},{"issue":"3","key":"1175_CR3","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1634\/theoncologist.2008-0232","volume":"14","author":"G Scagliotti","year":"2009","unstructured":"Scagliotti, G., Hanna, N., Fossella, F. et al., The differential efficacy of pemetrexed according to NSCLC histology: A review of two phase III studies. Oncologist 14(3):253\u2013263, 2009.","journal-title":"Oncologist"},{"issue":"5","key":"1175_CR4","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1097\/RTI.0000000000000294","volume":"32","author":"GS Shroff","year":"2017","unstructured":"Shroff, G. S., Benveniste, M. F., de Groot, P. M. et al., Targeted therapy and imaging findings. J. Thorac. Imaging 32(5):313\u2013322, 2017.","journal-title":"J. Thorac. Imaging"},{"issue":"11","key":"1175_CR5","doi-asserted-by":"publisher","first-page":"2688","DOI":"10.1007\/s00268-016-3596-9","volume":"40","author":"M Yano","year":"2016","unstructured":"Yano, M., Yoshida, J., Koike, T. et al., The outcomes of a limited resection for non-small cell lung cancer based on differences in pathology. World J. Surg. 40(11):2688\u20132697, 2016.","journal-title":"World J. Surg."},{"issue":"1","key":"1175_CR6","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1097\/JTO.0000000000000425","volume":"10","author":"E Thunnissen","year":"2015","unstructured":"Thunnissen, E., Noguchi, M., Aisner, S. et al., Reproducibility of histopathological diagnosis in poorly differentiated NSCLC: An international multiobserver study. J. Thorac. Oncol. 10(1):1354\u20131362, 2015.","journal-title":"J. Thorac. Oncol."},{"issue":"1","key":"1175_CR7","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1148\/radiology.214.1.r00ja1473","volume":"214","author":"SJ Swensen","year":"2000","unstructured":"Swensen, S. J., Viggiano, R. W., Midthun, D. E. et al., Lung nodule enhancement at CT: Multicenter study. Radiology 214(1):73\u201380, 2000.","journal-title":"Radiology"},{"issue":"4","key":"1175_CR8","doi-asserted-by":"publisher","first-page":"041004","DOI":"10.1117\/1.JMI.2.4.041004","volume":"2","author":"SK Dilger","year":"2015","unstructured":"Dilger, S. K., Uthoff, J., Judisch, A. et al., Improved pulmonary nodule classification utilizing quantitative lung parenchyma features. J. Med. Imaging 2(4):041004, 2015.","journal-title":"J. Med. Imaging"},{"issue":"6","key":"1175_CR9","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/s13244-012-0196-6","volume":"3","author":"F Davnall","year":"2012","unstructured":"Davnall, F., Yip, C. S., Ljungqvist, G. et al., Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice? Insights Imaging. 3(6):573\u2013589, 2012.","journal-title":"Insights Imaging."},{"issue":"1","key":"1175_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1475-925X-14-1","volume":"14","author":"HM Orozco","year":"2015","unstructured":"Orozco, H. M., OOV, V., VGC, S. et al., Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. Biomed. Eng. Online 14(1):1\u201320, 2015.","journal-title":"Biomed. Eng. Online"},{"issue":"1","key":"1175_CR11","first-page":"6","volume":"6","author":"C Dennie","year":"2016","unstructured":"Dennie, C., Thornhill, R., Sethivirmani, V. et al., Role of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules. Quant. Imaging Med. Surg. 6(1):6\u201315, 2016.","journal-title":"Quant. Imaging Med. Surg."},{"issue":"11","key":"1175_CR12","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1097\/RLI.0000000000000186","volume":"50","author":"IP Hwang","year":"2015","unstructured":"Hwang, I. P., Park, C. M., Park, S. J. et al., Persistent pure ground-glass nodules larger than 5 mm: Differentiation of invasive pulmonary adenocarcinomas from preinvasive lesions or minimally invasive adenocarcinomas using texture analysis. Investig. Radiol. 50(11):798\u2013804, 2015.","journal-title":"Investig. Radiol."},{"issue":"4","key":"1175_CR13","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1007\/s00330-011-2319-8","volume":"22","author":"B Ganeshan","year":"2012","unstructured":"Ganeshan, B., Panayiotou, E., Burnand, K. et al., Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: A potential marker of survival. Eur. Radiol. 22(4):796\u2013802, 2012.","journal-title":"Eur. Radiol."},{"key":"1175_CR14","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ejrad.2017.02.043","volume":"90","author":"F Giganti","year":"2017","unstructured":"Giganti, F., Marra, P., Ambrosi, A. et al., Pre-treatment MDCT-based texture analysis for therapy response prediction in gastric cancer: Comparison with tumour regression grade at final histology. Eur. J. Radiol. 90:129\u2013137, 2017.","journal-title":"Eur. J. Radiol."},{"issue":"1","key":"1175_CR15","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/s40644-017-0106-8","volume":"17","author":"MA Haider","year":"2017","unstructured":"Haider, M. A., Vosough, A., Khalvati, F. et al., CT texture analysis: A potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib. Cancer Imaging 17(1):4, 2017.","journal-title":"Cancer Imaging"},{"issue":"4","key":"1175_CR16","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1016\/j.ijrobp.2014.07.020","volume":"90","author":"DV Fried","year":"2014","unstructured":"Fried, D. V., Tucker, S. L., Zhou, S. et al., Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer. Int. J. Radiat. Oncol. Biol. Phys. 90(4):834\u2013842, 2014.","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"1175_CR17","doi-asserted-by":"crossref","unstructured":"Emaminejad, N., Qian, W., Kang, Y. et al., Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. In: SPIE Medical Imaging, 2015, 94141M.","DOI":"10.1117\/12.2081617"},{"issue":"1","key":"1175_CR18","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1102\/1470-7330.2010.0021","volume":"10","author":"G Balaji","year":"2010","unstructured":"Balaji, G., Sandra, A., RCD, Y. et al., Texture analysis of non-small cell lung cancer on unenhanced computed tomography: Initial evidence for a relationship with tumour glucose metabolism and stage. Cancer Imaging 10(1):137\u2013143, 2010.","journal-title":"Cancer Imaging"},{"issue":"1","key":"1175_CR19","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1148\/radiol.12112428","volume":"266","author":"B Ganeshan","year":"2013","unstructured":"Ganeshan, B., Goh, V., Mandeville, H. C. et al., Non-small cell lung cancer: Histopathologic correlates for texture parameters at CT. Radiology 266(1):326\u2013336, 2013.","journal-title":"Radiology"},{"issue":"Suppl 2","key":"1175_CR20","first-page":"71","volume":"6","author":"W Wu","year":"2016","unstructured":"Wu, W., Chintan, P., Patrick, G. et al., Exploratory study to identify radiomics classifiers for lung cancer histology. Front. Oncol. 6(Suppl 2):71, 2016.","journal-title":"Front. Oncol."},{"issue":"1","key":"1175_CR21","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.cmpb.2008.08.005","volume":"94","author":"A Materka","year":"2009","unstructured":"Materka, A., and Klepaczko, A., MaZda-A software package for image texture analysis. Comput. Methods Prog. Biomed. 94(1):66\u201376, 2009.","journal-title":"Comput. Methods Prog. Biomed."},{"issue":"4","key":"1175_CR22","doi-asserted-by":"publisher","first-page":"283","DOI":"10.18383\/j.tom.2016.00163","volume":"2","author":"S Echegaray","year":"2016","unstructured":"Echegaray, S., Nair, V., Kadoch, M. et al., A rapid segmentation-insensitive \u201cdigital biopsy\u201d method for Radiomic feature extraction: Method and pilot study using CT images of non-small cell lung cancer. Tomography. 2(4):283\u2013294, 2016.","journal-title":"Tomography."},{"issue":"6","key":"1175_CR23","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"smc. 3","author":"RM Haralick","year":"1973","unstructured":"Haralick, R. M., Shanmugam, K., and Dinstein, I., Textural features for image classification. IEEE Trans. Syst. Man Cybern. smc. 3(6):610\u2013621, 1973.","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"1175_CR24","first-page":"73","volume-title":"MaZda \u2013 the software package for textural analysis of biomedical images","author":"PM Szczypi\u0144ski","year":"2009","unstructured":"Szczypi\u0144ski, P. M., Strzelecki, M., Materka, A. et al., MaZda \u2013 the software package for textural analysis of biomedical images. Berlin: Springer, 2009, 73\u201384."},{"key":"1175_CR25","unstructured":"Duda, R. O., Hart, P. E., and Stork, D. G., Pattern classification. 2nd edition, Wiley, New York, 2001."},{"issue":"4","key":"1175_CR26","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1016\/j.neuroimage.2005.06.070","volume":"28","author":"J Mour\u00e3o-Miranda","year":"2005","unstructured":"Mour\u00e3o-Miranda, J., Bokde, A. L., Born, C. et al., Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data. NeuroImage 28(4):980\u2013995, 2005.","journal-title":"NeuroImage"},{"issue":"3","key":"1175_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C. C., and Lin, C. J., LIBSVM: A library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3):1\u201327, 2011.","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"9","key":"1175_CR28","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1097\/JTO.0000000000000630","volume":"10","author":"WD Travis","year":"2015","unstructured":"Travis, W. D., Brambilla, E., Nicholson, A. G. et al., The 2015 World Health Organization classification of lung tumors: Impact of genetic, clinical and radiologic advances since the 2004 classification. J. Thorac. Oncol. 10(9):1243\u20131260, 2015.","journal-title":"J. Thorac. Oncol."},{"issue":"5","key":"1175_CR29","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1148\/rg.2017170056","volume":"37","author":"MG Lubner","year":"2017","unstructured":"Lubner, M. G., Smith, A. D., Sandrasegaran, K. et al., CT texture analysis: Definitions, applications, biologic correlates, and challenges. Radiographics A Review Publication of the Radiological Society of North America Inc. 37(5):1483, 2017.","journal-title":"Radiographics A Review Publication of the Radiological Society of North America Inc."},{"key":"1175_CR30","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJ Aerts","year":"2014","unstructured":"Aerts, H. J., Velazquez, E. R., Leijenaar, R. T. et al., Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5:4006, 2014.","journal-title":"Nat. Commun."},{"issue":"2","key":"1175_CR31","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies, R. J., Kinahan, P. E., and Hricak, H., Radiomics: Images are more than pictures, they are data. Radiology 278(2):563\u2013577, 2016.","journal-title":"Radiology"},{"key":"1175_CR32","doi-asserted-by":"publisher","first-page":"20170267","DOI":"10.1259\/bjr.20170267","volume":"91","author":"L Phillips","year":"2017","unstructured":"Phillips, L., Ajaz, M., Ezhil, V. et al., Clinical applications of textural analysis in non-small cell lung cancer. Br. J. Radiol. 91:20170267, 2017.","journal-title":"Br. J. Radiol."},{"issue":"4","key":"1175_CR33","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/S0895-6111(00)00011-2","volume":"24","author":"DG Vince","year":"2000","unstructured":"Vince, D. G., Dixon, K. J., Cothren, R. M. et al., Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound images. Comput. Med. Imaging Graph. 24(4):221\u2013229, 2000.","journal-title":"Comput. Med. Imaging Graph."},{"issue":"8","key":"1175_CR34","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1016\/j.mri.2008.01.016","volume":"26","author":"J Zhang","year":"2008","unstructured":"Zhang, J., Tong, L., Wang, L. et al., Texture analysis of multiple sclerosis: A comparative study. Magn. Reson. Imaging 26(8):1160\u20131166, 2008.","journal-title":"Magn. Reson. Imaging"},{"issue":"9","key":"1175_CR35","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.acra.2015.04.004","volume":"22","author":"L Yan","year":"2015","unstructured":"Yan, L., Liu, Z., Wang, G. et al., Angiomyolipoma with minimal fat: Differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images. Acad. Radiol. 22(9):1115\u20131121, 2015.","journal-title":"Acad. Radiol."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-019-1175-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1175-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1175-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T19:11:47Z","timestamp":1580497907000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-019-1175-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,1]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["1175"],"URL":"https:\/\/doi.org\/10.1007\/s10916-019-1175-y","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,1]]},"assertion":[{"value":"26 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the national research committee.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"For this type of study formal consent is not required.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}],"article-number":"59"}}