{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:36:18Z","timestamp":1769636178615,"version":"3.49.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T00:00:00Z","timestamp":1579564800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T00:00:00Z","timestamp":1579564800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003710","name":"Korea Health Industry Development Institute","doi-asserted-by":"crossref","award":["HI17C0086"],"award-info":[{"award-number":["HI17C0086"]}],"id":[{"id":"10.13039\/501100003710","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"crossref","award":["NRF-2019R1H1A2079721"],"award-info":[{"award-number":["NRF-2019R1H1A2079721"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"crossref","award":["NRF-2017M2A2A7A02018568"],"award-info":[{"award-number":["NRF-2017M2A2A7A02018568"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Ministry of Science and ICT","award":["IITP-2019-2018-0-01798"],"award-info":[{"award-number":["IITP-2019-2018-0-01798"]}]},{"name":"IITP grant funded by the AI Graduate School Support Program","award":["2019-0-00421"],"award-info":[{"award-number":["2019-0-00421"]}]},{"DOI":"10.13039\/501100010446","name":"Institute for Basic Science","doi-asserted-by":"crossref","award":["IBS-R015-D1"],"award-info":[{"award-number":["IBS-R015-D1"]}],"id":[{"id":"10.13039\/501100010446","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s00330-019-06581-2","type":"journal-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T00:43:27Z","timestamp":1579653807000},"page":"2984-2994","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma"],"prefix":"10.1007","volume":"30","author":[{"given":"Hwan-ho","family":"Cho","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geewon","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9960-5648","authenticated-orcid":false,"given":"Ho Yun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunjin","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,21]]},"reference":[{"key":"6581_CR1","doi-asserted-by":"publisher","unstructured":"Austin JHM, Garg K, Aberle D et al (2013) Radiologic implications of the 2011 classification of adenocarcinoma of the lung. Radiology. https:\/\/doi.org\/10.1148\/radiol.12120240","DOI":"10.1148\/radiol.12120240"},{"key":"6581_CR2","doi-asserted-by":"publisher","unstructured":"Borczuk AC, Qian F, Kazeros A et al (2009) Invasive size is an independent predictor of survival in pulmonary adenocarcinoma. AmJ Surg Pathol. https:\/\/doi.org\/10.1097\/PAS.0b013e318190157c","DOI":"10.1097\/PAS.0b013e318190157c"},{"key":"6581_CR3","doi-asserted-by":"publisher","first-page":"1196","DOI":"10.1097\/JTO.0B013E31829F09A7","volume":"8","author":"J Zhang","year":"2013","unstructured":"Zhang J, Wu J, Tan Q et al (2013) Why do pathological stage IA lung adenocarcinomas vary from prognosis?: a clinicopathologic study of 176 patients with pathological stage IA lung adenocarcinoma based on the IASLC\/ATS\/ERS classification. J Thorac Oncol 8:1196\u20131202. https:\/\/doi.org\/10.1097\/JTO.0B013E31829F09A7","journal-title":"J Thorac Oncol"},{"key":"6581_CR4","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1378\/CHEST.09-2547","volume":"139","author":"M Kates","year":"2011","unstructured":"Kates M, Swanson S, Wisnivesky JP (2011) Survival following lobectomy and limited resection for the treatment of stage I nonsmall cell lung cancer \u22641 cm in size: a review of SEER data. Chest 139:491\u2013496. https:\/\/doi.org\/10.1378\/CHEST.09-2547","journal-title":"Chest"},{"key":"6581_CR5","doi-asserted-by":"publisher","unstructured":"Wisnivesky JP, Henschke CI, Swanson S et al (2010) Limited resection for the treatment of patients with stage IA lung cancer. Ann Surg. https:\/\/doi.org\/10.1097\/SLA.0b013e3181c0e5f3","DOI":"10.1097\/SLA.0b013e3181c0e5f3"},{"key":"6581_CR6","doi-asserted-by":"publisher","unstructured":"MacMahon H, Naidich DP, Goo JM et al (2017) Guidelines for management of incidental pulmonary nodules detected on CT images:from the Fleischner Society 2017. Radiology. https:\/\/doi.org\/10.1148\/radiol.2017161659","DOI":"10.1148\/radiol.2017161659"},{"key":"6581_CR7","doi-asserted-by":"publisher","first-page":"2921","DOI":"10.1007\/s00330-015-4131-3","volume":"26","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Shen Y, Qiang JW, Ye JD, Zhang J, Zhao RY (2016) HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules. Eur Radiol 26:2921\u20132928. https:\/\/doi.org\/10.1007\/s00330-015-4131-3","journal-title":"Eur Radiol"},{"key":"6581_CR8","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1148\/radiol.2451061682","volume":"245","author":"HY Kim","year":"2007","unstructured":"Kim HY, Shim YM, Lee KS, Han J, Yi CA, Kim YK (2007) Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology 245:267\u2013275. https:\/\/doi.org\/10.1148\/radiol.2451061682","journal-title":"Radiology"},{"key":"6581_CR9","doi-asserted-by":"publisher","first-page":"R150","DOI":"10.1088\/0031-9155\/61\/13\/R150","volume":"61","author":"SS Yip","year":"2016","unstructured":"Yip SS, Aerts HJ (2016) Applications and limitations of radiomics. Phys Med Biol 61:R150\u2013R166. https:\/\/doi.org\/10.1088\/0031-9155\/61\/13\/R150","journal-title":"Phys Med Biol"},{"key":"6581_CR10","doi-asserted-by":"publisher","first-page":"37241","DOI":"10.1038\/srep37241","volume":"6","author":"P Prasanna","year":"2016","unstructured":"Prasanna P, Tiwari P, Madabhushi A (2016) Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor. Sci Rep 6:37241. https:\/\/doi.org\/10.1038\/srep37241","journal-title":"Sci Rep"},{"key":"6581_CR11","doi-asserted-by":"publisher","first-page":"2187","DOI":"10.3174\/ajnr.A5858","volume":"39","author":"M Ismail","year":"2018","unstructured":"Ismail M, Hill V, Statsevych V et al (2018) Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study. AJNR Am J Neuroradiol 39:2187\u20132193. https:\/\/doi.org\/10.3174\/ajnr.A5858","journal-title":"AJNR Am J Neuroradiol"},{"key":"6581_CR12","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/J.MEDIA.2017.07.008","volume":"42","author":"F Gr\u00e9lard","year":"2017","unstructured":"Gr\u00e9lard F, Baldacci F, Vialard A, Domenger J-P (2017) New methods for the geometrical analysis of tubular organs. Med Image Anal 42:89\u2013101. https:\/\/doi.org\/10.1016\/J.MEDIA.2017.07.008","journal-title":"Med Image Anal"},{"key":"6581_CR13","doi-asserted-by":"publisher","first-page":"15290","DOI":"10.1038\/s41598-018-33473-0","volume":"8","author":"M Alilou","year":"2018","unstructured":"Alilou M, Orooji M, Beig N et al (2018) Quantitative vessel tortuosity:a potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas. Sci Rep 8:15290. https:\/\/doi.org\/10.1038\/s41598-018-33473-0","journal-title":"Sci Rep"},{"key":"6581_CR14","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/s13058-017-0846-1","volume":"19","author":"NM Braman","year":"2017","unstructured":"Braman NM, Etesami M, Prasanna P et al (2017) Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast Cancer Res 19:57. https:\/\/doi.org\/10.1186\/s13058-017-0846-1","journal-title":"Breast Cancer Res"},{"key":"6581_CR15","doi-asserted-by":"publisher","unstructured":"Prasanna P, Patel J, Partovi S et al (2016) Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: preliminary findings. Eur Radiol. https:\/\/doi.org\/10.1007\/s00330-016-4637-3","DOI":"10.1007\/s00330-016-4637-3"},{"key":"6581_CR16","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1148\/radiol.12120628","volume":"266","author":"DP Naidich","year":"2013","unstructured":"Naidich DP, Bankier AA, MacMahon H et al (2013) Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society. Radiology 266:304\u2013317. https:\/\/doi.org\/10.1148\/radiol.12120628","journal-title":"Radiology"},{"key":"6581_CR17","doi-asserted-by":"publisher","first-page":"5119","DOI":"10.1007\/s00330-017-4917-6","volume":"27","author":"SM Lee","year":"2017","unstructured":"Lee SM, Park CM, Song YS et al (2017) CT assessment-based direct surgical resection of part-solid nodules with solid component larger than 5 mm without preoperative biopsy: experience at a single tertiary hospital. Eur Radiol 27:5119\u20135126. https:\/\/doi.org\/10.1007\/s00330-017-4917-6","journal-title":"Eur Radiol"},{"key":"6581_CR18","volume-title":"Statistical methods for rates and proportions","author":"JL Fleiss","year":"2013","unstructured":"Fleiss JL, Levin B, Paik MC (2013) Statistical methods for rates and proportions, 3rd edn. Wiley, Hoboken","edition":"3"},{"key":"6581_CR19","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1148\/rg.305095166","volume":"30","author":"SJ UyBico","year":"2010","unstructured":"UyBico SJ, Wu CC, Suh RD et al (2010) Lung cancer staging essentials: the new TNM staging system and potential imaging pitfalls. Radiographics 30:1163\u20131181. https:\/\/doi.org\/10.1148\/rg.305095166","journal-title":"Radiographics"},{"key":"6581_CR20","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1634\/theoncologist.2017-0538","volume":"23","author":"G Lee","year":"2018","unstructured":"Lee G, Park H, Sohn I et al (2018) Comprehensive computed tomography radiomics analysis of lung adenocarcinoma for prognostication. Oncologist 23:806\u2013813. https:\/\/doi.org\/10.1634\/theoncologist.2017-0538","journal-title":"Oncologist"},{"key":"6581_CR21","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"JJM Van Griethuysen","year":"2017","unstructured":"Van Griethuysen JJM, Fedorov A, Parmar C et al (2017) Computational radiomics system to decode the radiographic phenotype. Cancer Res 77:e104\u2013e107. https:\/\/doi.org\/10.1158\/0008-5472.CAN-17-0339","journal-title":"Cancer Res"},{"key":"6581_CR22","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"SMC-3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cybern SMC-3:610\u2013621. https:\/\/doi.org\/10.1109\/TSMC.1973.4309314","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"6581_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0118261","volume":"10","author":"O Grove","year":"2015","unstructured":"Grove O, Berglund AE, Schabath MB et al (2015) Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. PLoS One 10:1\u201314. https:\/\/doi.org\/10.1371\/journal.pone.0118261","journal-title":"PLoS One"},{"key":"6581_CR24","doi-asserted-by":"publisher","first-page":"369","DOI":"10.2967\/jnumed.110.082404","volume":"52","author":"F Tixier","year":"2011","unstructured":"Tixier F, Le Rest CC, Hatt M et al (2011) Intratumor heterogeneity characterized by textural features on baseline 18F-FDGPETimages predicts response to concomitant radio chemotherapy in esophageal cancer. J Nucl Med 52:369\u2013378. https:\/\/doi.org\/10.2967\/jnumed.110.082404","journal-title":"J Nucl Med"},{"key":"6581_CR25","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 CSP, Ljungqvist G et al (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3:573\u2013589. https:\/\/doi.org\/10.1007\/s13244-012-0196-6","journal-title":"Insights Imaging"},{"key":"6581_CR26","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1148\/radiol.09090571","volume":"255","author":"B de Hoop","year":"2010","unstructured":"de Hoop B, Gietema H, van de Vorst S et al (2010) Pulmonary ground-glass nodules: increase in mass as an early indicator of growth. Radiology 255:199\u2013206. https:\/\/doi.org\/10.1148\/radiol.09090571","journal-title":"Radiology"},{"key":"6581_CR27","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1148\/radiol.12111793","volume":"264","author":"HY Lee","year":"2012","unstructured":"Lee HY, Jeong JY, Lee KS et al (2012) Solitary pulmonary nodular lung adenocarcinoma: correlation of histopathologic scoring and patient survival with imaging biomarkers. Radiology 264:884\u2013893. https:\/\/doi.org\/10.1148\/radiol.12111793","journal-title":"Radiology"},{"key":"6581_CR28","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R (1996) Regression selection and shrinkage via the Lasso. J R Stat Soc B 58:267\u2013288","journal-title":"J R Stat Soc B"},{"key":"6581_CR29","doi-asserted-by":"publisher","unstructured":"Son JY, Lee HY, Kim JH et al (2016) Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma:the added value of using iodine mapping. Eur Radiol. https:\/\/doi.org\/10.1007\/s00330-015-3816-y","DOI":"10.1007\/s00330-015-3816-y"},{"key":"6581_CR30","doi-asserted-by":"publisher","first-page":"1675","DOI":"10.1016\/J.ATHORACSUR.2007.03.015","volume":"84","author":"H Nakayama","year":"2007","unstructured":"Nakayama H, Yamada K, Saito H et al (2007) Sublobar resection for patients with peripheral small adenocarcinomas of the lung:surgical outcome is associated with features on computed tomographic imaging. Ann Thorac Surg 84:1675\u20131679. https:\/\/doi.org\/10.1016\/J.ATHORACSUR.2007.03.015","journal-title":"Ann Thorac Surg"},{"key":"6581_CR31","doi-asserted-by":"publisher","first-page":"S552","DOI":"10.3978\/j.issn.2072-1439.2014.06.09","volume":"6","author":"XY FangW","year":"2014","unstructured":"FangW XY, Zhong C, Chen Q (2014) The IASLC\/ATS\/ERS classification of lung adenocarcinoma-a surgical point of view. J Thorac Dis 6:S552\u2013S560. https:\/\/doi.org\/10.3978\/j.issn.2072-1439.2014.06.09","journal-title":"J Thorac Dis"},{"key":"6581_CR32","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/J.CANLET.2016.01.043","volume":"387","author":"T Wu","year":"2017","unstructured":"Wu T, Dai Y (2017) Tumor microenvironment and therapeutic response. Cancer Lett 387:61\u201368. https:\/\/doi.org\/10.1016\/J.CANLET.2016.01.043","journal-title":"Cancer Lett"},{"key":"6581_CR33","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/J.CCR.2012.02.022","volume":"21","author":"D Hanahan","year":"2012","unstructured":"Hanahan D, Coussens LM (2012) Accessories to the crime: functions of cells recruited to the tumor microenvironment. Cancer Cell 21:309\u2013322. https:\/\/doi.org\/10.1016\/J.CCR.2012.02.022","journal-title":"Cancer Cell"},{"key":"6581_CR34","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1038\/nm.3394","volume":"19","author":"DF Quail","year":"2013","unstructured":"Quail DF, Joyce JA (2013) Microenvironmental regulation of tumor progression and metastasis. Nat Med 19:1423\u20131437. https:\/\/doi.org\/10.1038\/nm.3394","journal-title":"Nat Med"},{"key":"6581_CR35","doi-asserted-by":"publisher","unstructured":"Aerts HJWL, Velazquez ER, Leijenaar RTH et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5. https:\/\/doi.org\/10.1038\/ncomms5006","DOI":"10.1038\/ncomms5006"},{"key":"6581_CR36","doi-asserted-by":"publisher","unstructured":"Alcaide-Leon P, Dufort P, Geraldo AF et al (2017) Differentiation of enhancing glioma and primary central nervous system lymphoma by texture-based machine learning. AJNR Am J Neuroradiol. https:\/\/doi.org\/10.3174\/ajnr.A5173","DOI":"10.3174\/ajnr.A5173"},{"key":"6581_CR37","doi-asserted-by":"publisher","unstructured":"Kunimatsu A, Kunimatsu N, Kamiya K et al (2018) Comparison between glioblastoma and primary central nervous system lymphoma using MR image-based texture analysis. Magn Reson Med Sci. https:\/\/doi.org\/10.2463\/mrms.mp.2017-0044","DOI":"10.2463\/mrms.mp.2017-0044"},{"key":"6581_CR38","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1097\/JTO.0B013E318206A221","volume":"6","author":"WD Travis","year":"2011","unstructured":"Travis WD, Brambilla E, Noguchi M et al (2011) International Association for the Study of Lung Cancer\/American Thoracic Society\/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma. J Thorac Oncol 6:244\u2013285. https:\/\/doi.org\/10.1097\/JTO.0B013E318206A221","journal-title":"J Thorac Oncol"},{"key":"6581_CR39","doi-asserted-by":"publisher","unstructured":"Gupta R, Phan CM, Leidecker C et al (2010) Evaluation of dual energy CT for differentiating intracerebral hemorrhage from iodinated contrast material staining. Radiology. https:\/\/doi.org\/10.1148\/radiol.10091806","DOI":"10.1148\/radiol.10091806"},{"key":"6581_CR40","doi-asserted-by":"publisher","unstructured":"Chae EJ, Song J-W, Seo JB et al (2008) Clinical utility of dualenergy CT in the evaluation of solitary pulmonary nodules: initial experience. Radiology. https:\/\/doi.org\/10.1148\/radiol.2492071956","DOI":"10.1148\/radiol.2492071956"},{"key":"6581_CR41","doi-asserted-by":"publisher","first-page":"1584","DOI":"10.1016\/S0022-5223(03)00885-7","volume":"126","author":"H Nomori","year":"2003","unstructured":"Nomori H, Ohtsuka T, Naruke T, Suemasu K (2003) Histogram analysis of computed tomography numbers of clinical T1 N0 M0 lung adenocarcinoma, with special reference to lymph node metastasis and tumor invasiveness. J Thorac Cardiovasc Surg 126:1584\u20131589. https:\/\/doi.org\/10.1016\/S0022-5223(03)00885-7","journal-title":"J Thorac Cardiovasc Surg"},{"key":"6581_CR42","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/J.EJRAD.2016.09.005","volume":"86","author":"G Lee","year":"2017","unstructured":"Lee G, Lee HY, Park H et al (2017) Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management:state of the art. Eur J Radiol 86:297\u2013307. https:\/\/doi.org\/10.1016\/J.EJRAD.2016.09.005","journal-title":"Eur J Radiol"},{"key":"6581_CR43","doi-asserted-by":"publisher","first-page":"1457","DOI":"10.1200\/JCO.1990.8.9.1457","volume":"8","author":"AK Lee","year":"1990","unstructured":"Lee AK, DeLellis RA, Silverman ML et al (1990) Prognostic significance of peritumoral lymphatic and blood vessel invasion in node-negative carcinoma of the breast. J Clin Oncol 8:1457\u20131465. https:\/\/doi.org\/10.1200\/JCO.1990.8.9.1457","journal-title":"J Clin Oncol"},{"key":"6581_CR44","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/s12282-014-0572-9","volume":"22","author":"T Uematsu","year":"2015","unstructured":"Uematsu T (2015) Focal breast edema associated with malignancy on T2-weighted images of breast MRI: peritumoral edema, prepectoral edema, and subcutaneous edema. Breast Cancer 22:66\u201370. https:\/\/doi.org\/10.1007\/s12282-014-0572-9","journal-title":"Breast Cancer"},{"key":"6581_CR45","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1148\/radiol.2018180910","volume":"290","author":"N Beig","year":"2019","unstructured":"Beig N, Khorrami M, Alilou M et al (2019) Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas. Radiology 290:783\u2013792. https:\/\/doi.org\/10.1148\/radiol.2018180910","journal-title":"Radiology"},{"key":"6581_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-017-18310-0","volume":"8","author":"N Beig","year":"2018","unstructured":"Beig N, Patel J, Prasanna P et al (2018) Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Sci Rep 8:1\u201311. https:\/\/doi.org\/10.1038\/s41598-017-18310-0","journal-title":"Sci Rep"},{"key":"6581_CR47","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1007\/s00330-018-5530-z","volume":"29","author":"L Fan","year":"2019","unstructured":"Fan L, Fang M, Li Z et al (2019) Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule. Eur Radiol 29:889\u2013897. https:\/\/doi.org\/10.1007\/s00330-018-5530-z","journal-title":"Eur Radiol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-019-06581-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00330-019-06581-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-019-06581-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T13:32:42Z","timestamp":1722346362000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00330-019-06581-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,21]]},"references-count":47,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["6581"],"URL":"https:\/\/doi.org\/10.1007\/s00330-019-06581-2","relation":{},"ISSN":["0938-7994","1432-1084"],"issn-type":[{"value":"0938-7994","type":"print"},{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,21]]},"assertion":[{"value":"1 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 November 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 January 2020","order":4,"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 scientific guarantor of this publication is Ho Yun Lee","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"One of the authors has significant statistical expertise.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Some study subjects have been previously reported in (Son JY, Lee HY, Kim JH, et al (2016) Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma: the added value of using iodine mapping. Eur Radiol..)","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohort overlap"}},{"value":"\u2022 Retrospective\u2022 Diagnostic or prognostic study\u2022 Multicenter study","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}