{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T09:27:10Z","timestamp":1775381230212,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T00:00:00Z","timestamp":1627516800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T00:00:00Z","timestamp":1627516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971271"],"award-info":[{"award-number":["61971271"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81701656"],"award-info":[{"award-number":["81701656"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81172133"],"award-info":[{"award-number":["81172133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81372413"],"award-info":[{"award-number":["81372413"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010040","name":"Taishan Scholar Project of Shandong Province","doi-asserted-by":"publisher","award":["Tsqn20161023"],"award-info":[{"award-number":["Tsqn20161023"]}],"id":[{"id":"10.13039\/501100010040","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Primary Research and Development Plan of Shandong Province","award":["2018GGX101018"],"award-info":[{"award-number":["2018GGX101018"]}]},{"name":"Primary Research and Development Plan of Shandong Province","award":["2019QYTPY020"],"award-info":[{"award-number":["2019QYTPY020"]}]},{"name":"Special Fund for Scientific Research in the Public Interest","award":["201402011"],"award-info":[{"award-number":["201402011"]}]},{"name":"Projects of Medical and Health Technology Development Program in Shandong Province","award":["2014WS0058"],"award-info":[{"award-number":["2014WS0058"]}]},{"name":"Outstanding Youth Natural Science Foundation of Shandong Province","award":["JQ201423"],"award-info":[{"award-number":["JQ201423"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s10278-021-00484-9","type":"journal-article","created":{"date-parts":[[2021,7,29]],"date-time":"2021-07-29T19:08:41Z","timestamp":1627585721000},"page":"1073-1085","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3178-7761","authenticated-orcid":false,"given":"Zekun","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Yinjun","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Linke","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yunhong","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Shuai","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Shuanghu","family":"Yuan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5126-3888","authenticated-orcid":false,"given":"Dengwang","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3666-279X","authenticated-orcid":false,"given":"Liheng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,29]]},"reference":[{"issue":"18","key":"484_CR1","doi-asserted-by":"publisher","first-page":"2004","DOI":"10.1200\/JCO.2014.58.3708","volume":"33","author":"SN Gettinger","year":"2015","unstructured":"S.N. Gettinger, L. Horn, L. Gandhi, D.R. Spigel, S.J. Antonia, N.A. Rizvi, J.D. Powderly, R.S. Heist, R.D. Carvajal, D.M. Jackman, L. V. Sequist, D.C. Smith, P. Leming, D.P. Carbone, M.C. Pinder-Schenck, S.L. Topalian, F.S. Hodi, J.A. Sosman, M. Sznol, D.F. McDermott, D.M. Pardoll, V. Sankar, C.M. Ahlers, M. Salvati, J.M. Wigginton, M.D. Hellmann, G.D. Kollia, A.K. Gupta, J.R. Brahmer: Overall survival and long-term safety of nivolumab (anti-programmed death 1 antibody, BMS-936558, ONO-4538) in patients with previously treated advanced non-small-cell lung cancer. J Clin Oncol 33(18): 2004-2012, 2015. https:\/\/doi.org\/10.1200\/JCO.2014.58.3708.","journal-title":"J Clin Oncol"},{"issue":"10027","key":"484_CR2","doi-asserted-by":"publisher","first-page":"1540","DOI":"10.1016\/S0140-6736(15)01281-7","volume":"387","author":"RS Herbst","year":"2016","unstructured":"R.S. Herbst, P. Baas, D.W. Kim, E. Felip, J.L. P\u00e9rez-Gracia, J.Y. Han, J. Molina, J.H. Kim, C.D. Arvis, M.J. Ahn, M. Majem, M.J. Fidler, G. De Castro, M. Garrido, G.M. Lubiniecki, Y. Shentu, E. Im, M. Dolled-Filhart, E.B. Garon: Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial. Lancet 387(10027): 1540-1550, 2016. https:\/\/doi.org\/10.1016\/S0140-6736(15)01281-7.","journal-title":"Lancet"},{"key":"484_CR3","doi-asserted-by":"publisher","unstructured":"C. Loughran, C. Keeling: Seeding of tumour cells following breast biopsy: a literature review. Br J Radiol 84(1006): 869\u2013874, 2011. https:\/\/doi.org\/10.1259\/bjr\/77245199.","DOI":"10.1259\/bjr\/77245199"},{"issue":"2","key":"484_CR4","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1183\/09031936.00010111","volume":"39","author":"N Girard","year":"2012","unstructured":"N. Girard, C.S. Sima, D.M. Jackman, L. V. Sequist, H. Chen, J.C.H. Yang, H. Ji, B. Waltman, R. Rosell, M. Taron, M.F. Zakowski, M. Ladanyi, G. Riely, W. Pao: Nomogram to predict the presence of EGFR activating mutation in lung adenocarcinoma. Eur Respir J 39(2): 366-372, 2012. https:\/\/doi.org\/10.1183\/09031936.00010111.","journal-title":"Eur Respir J"},{"key":"484_CR5","doi-asserted-by":"publisher","unstructured":"E. Rios Velazquez, C. Parmar, Y. Liu, T.P. Coroller, G. Cruz, O. Stringfield, Z. Ye, M. Makrigiorgos, F. Fennessy, R.H. Mak, R. Gillies, J. Quackenbush, H.J.W.L. Aerts: Somatic mutations drive distinct imaging phenotypes in lung cancer. Cancer Res 77(14): 3922\u20133930, 2017. https:\/\/doi.org\/10.1158\/0008-5472.CAN-17-0122.","DOI":"10.1158\/0008-5472.CAN-17-0122"},{"key":"484_CR6","doi-asserted-by":"publisher","unstructured":"H. Itakura, A.S. Achrol, L.A. Mitchell, J.J. Loya, T. Liu, E.M. Westbroek, A.H. Feroze, S. Rodriguez, S. Echegaray, T.D. Azad, K.W. Yeom, S. Napel, D.L. Rubin, S.D. Chang, G.R. Harsh, O. Gevaert: Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities. Sci Transl Med 7(303): 303ra138, 2015. https:\/\/doi.org\/10.1126\/scitranslmed.aaa7582.","DOI":"10.1126\/scitranslmed.aaa7582"},{"issue":"3","key":"484_CR7","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1001\/jamaoncol.2015.4482","volume":"2","author":"AG Sacher","year":"2016","unstructured":"A.G. Sacher, S.E. Dahlberg, J. Heng, S. Mach, P.A. J\u00e4nne, G.R. Oxnard: Association between younger age and targetable genomic alterations and prognosis in non-small-cell lung cancer. JAMA Oncol 2(3): 313-320, 2016. https:\/\/doi.org\/10.1001\/jamaoncol.2015.4482.","journal-title":"JAMA Oncol"},{"issue":"1","key":"484_CR8","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1007\/s00330-017-4964-z","volume":"28","author":"Y Li","year":"2018","unstructured":"Y. Li, X. Liu, K. Xu, Z. Qian, K. Wang, X. Fan, S. Li, Y. Wang, T. Jiang: MRI features can predict EGFR expression in lower grade gliomas: a voxel-based radiomic analysis. Eur Radiol 28(1): 356-362, 2018. https:\/\/doi.org\/10.1007\/s00330-017-4964-z.","journal-title":"Eur Radiol"},{"issue":"13","key":"484_CR9","doi-asserted-by":"publisher","first-page":"R150","DOI":"10.1088\/0031-9155\/61\/13\/R150","volume":"61","author":"SS Yip","year":"2016","unstructured":"SS Yip, HJ Aerts: Applications and limitations of radiomics. Phys Med Biol 61(13): R150-66, 2016. https:\/\/doi.org\/10.1088\/0031-9155\/61\/13\/R150.","journal-title":"Phys Med Biol"},{"key":"484_CR10","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.ejmp.2017.05.071","volume":"38","author":"M Avanzo","year":"2017","unstructured":"M Avanzo, J Stancanello, Naqa IEl: Beyond imaging: the promise of radiomics. Phys Med 38: 122\u2013139, 2017. https:\/\/doi.org\/10.1016\/j.ejmp.2017.05.071.","journal-title":"Phys Med"},{"issue":"5","key":"484_CR11","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1016\/j.cell.2018.02.010","volume":"172","author":"DS Kermany","year":"2018","unstructured":"DS Kermany, M Goldbaum, W Cai, CCS Valentim, H Liang, SL Baxter, A McKeown, G Yang, X Wu, F Yan, J Dong, MK Prasadha, J Pei, MYL Ting, J Zhu, C Li, S Hewett, J Dong, I Ziyar, A Shi, R Zhang, L Zheng, R Hou, W Shi, X Fu, Y Duan, V Huu, C Wen, ED Zhang, C L Zhang, O Li, X Wang, Michael A Singer, Xiaodong Sun, Jie Xu, Ali Tafreshi, M Anthony Lewis, Huimin Xia, Kang Zhang: Identifying medical diagnoses and treatable diseases by image-based deep learning, Cell 172(5): 1122-1131, 2018. https:\/\/doi.org\/10.1016\/j.cell.2018.02.010.","journal-title":"Cell"},{"issue":"1","key":"484_CR12","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1038\/labinvest.2013.128","volume":"94","author":"JR Brown","year":"2014","unstructured":"J.R. Brown, M.P. Digiovanna, B. Killelea, D.R. Lannin, D.L. Rimm: Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer. Lab Invest 94(1): 98-106, 2014. https:\/\/doi.org\/10.1038\/labinvest.2013.128.","journal-title":"Lab Invest"},{"issue":"13","key":"484_CR13","doi-asserted-by":"publisher","first-page":"5213","DOI":"10.1073\/pnas.0801279105","volume":"105","author":"M Diehn","year":"2008","unstructured":"M. Diehn, C. Nardini, D.S. Wang, S. McGovern, M. Jayaraman, Y. Liang, K. Aldape, S. Cha, M.D. Kuo: Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proc Natl Acad Sci U S A 105(13): 5213-5218, 2008. https:\/\/doi.org\/10.1073\/pnas.0801279105.","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"6","key":"484_CR14","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1007\/s00259-011-1787-z","volume":"38","author":"S Basu","year":"2011","unstructured":"S. Basu, T.C. Kwee, R. Gatenby, B. Saboury, D.A. Torigian: Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders. Eur J Nucl Med Mol Imaging 38(6): 987-991, 2011. https:\/\/doi.org\/10.1007\/s00259-011-1787-z.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"2","key":"484_CR15","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"R.J. Gillies, P.E. Kinahan, H. Hricak: Radiomics: images are more than pictures, they are data. Radiology 278(2): 563-577, 2016. https:\/\/doi.org\/10.1148\/radiol.2015151169.","journal-title":"Radiology"},{"issue":"4","key":"484_CR16","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"P. Lambin, E. Rios-Velazquez, R. Leijenaar, S. Carvalho, R.G.P.M. Van Stiphout, P. Granton, C.M.L. Zegers, R. Gillies, R. Boellard, A. Dekker, H.J.W.L. Aerts: Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 48(4): 441-446, 2012. https:\/\/doi.org\/10.1016\/j.ejca.2011.11.036.","journal-title":"Eur J Cancer"},{"issue":"2","key":"484_CR17","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.ejrad.2009.01.050","volume":"70","author":"AM Rutman","year":"2009","unstructured":"A.M. Rutman, M.D. Kuo: Radiogenomics: creating a link between molecular diagnostics and diagnostic imaging. Eur J Radiol 70(2): 232-241, 2009. https:\/\/doi.org\/10.1016\/j.ejrad.2009.01.050.","journal-title":"Eur J Radiol"},{"issue":"1","key":"484_CR18","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1148\/radiol.2017161845","volume":"286","author":"M Zhou","year":"2018","unstructured":"M. Zhou, A. Leung, S. Echegaray, A. Gentles, J.B. Shrager, K.C. Jensen, G.J. Berry, S.K. Plevritis, D.L. Rubin, S. Napel, O. Gevaert: Non-small cell lung cancer radiogenomics map identifies relationships between molecular and imaging phenotypes with prognostic implications. Radiology 286(1): 307-315, 2018. https:\/\/doi.org\/10.1148\/radiol.2017161845.","journal-title":"Radiology"},{"issue":"18","key":"484_CR19","doi-asserted-by":"publisher","first-page":"2157","DOI":"10.1200\/JCO.2015.65.9128","volume":"34","author":"YQ Huang","year":"2016","unstructured":"YQ Huang, CH Liang, L He, J Tian, CS Liang, X Chen, ZL Ma, ZY Liu: Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer. J Clin Oncol 34(18): 2157-64, 2016. https:\/\/doi.org\/10.1200\/JCO.2015.65.9128.","journal-title":"J Clin Oncol"},{"key":"484_CR20","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJWL Aerts","year":"2014","unstructured":"H.J.W.L. Aerts, E.R. Velazquez, R.T.H. Leijenaar, C. Parmar, P. Grossmann, S. Cavalho, J. Bussink, R. Monshouwer, B. Haibe-Kains, D. Rietveld, F. Hoebers, M.M. Rietbergen, C.R. Leemans, A. Dekker, J. Quackenbush, R.J. Gillies, P. Lambin: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5: 4006, 2014. https:\/\/doi.org\/10.1038\/ncomms5006.","journal-title":"Nat Commun"},{"issue":"14","key":"484_CR21","doi-asserted-by":"publisher","first-page":"5471","DOI":"10.1088\/0031-9155\/60\/14\/5471","volume":"60","author":"M Valli\u00e8res","year":"2015","unstructured":"M. Valli\u00e8res, C.R. Freeman, S.R. Skamene, I. El Naqa: A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Phys Med Biol 60(14): 5471-5496, 2015. https:\/\/doi.org\/10.1088\/0031-9155\/60\/14\/5471.","journal-title":"Phys Med Biol"},{"issue":"41","key":"484_CR22","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000001753","volume":"94","author":"HJ Yoon","year":"2015","unstructured":"H.J. Yoon, I. Sohn, J.H. Cho, H.Y. Lee, J.H. Kim, Y. La Choi, H. Kim, G. Lee, K.S. Lee, J. Kim: Decoding tumor phenotypes for ALK, ROS1, and RET fusions in lung adenocarcinoma using a radiomics approach. Medicine (Baltimore) 94(41): e1753, 2015. https:\/\/doi.org\/10.1097\/MD.0000000000001753.","journal-title":"Medicine (Baltimore)"},{"key":"484_CR23","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3389\/fonc.2020.00028","volume":"10","author":"D Hong","year":"2020","unstructured":"D. Hong, K. Xu, L. Zhang, X. Wan, Y. Guo: Radiomics signature as a predictive factor for EGFR mutations in advanced lung adenocarcinoma. Front Oncol 10: 28, 2020. https:\/\/doi.org\/10.3389\/fonc.2020.00028.","journal-title":"Front Oncol"},{"issue":"5","key":"484_CR24","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.cllc.2016.02.001","volume":"17","author":"Y Liu","year":"2016","unstructured":"Y. Liu, J. Kim, Y. Balagurunathan, Q. Li, A.L. Garcia, O. Stringfield, Z. Ye, R.J. Gillies: Radiomic features are associated with EGFR mutation status in lung adenocarcinomas. Clin Lung Cancer 17(5): 441-448.e6, 2016. https:\/\/doi.org\/10.1016\/j.cllc.2016.02.001.","journal-title":"Clin Lung Cancer"},{"issue":"15","key":"484_CR25","doi-asserted-by":"publisher","first-page":"3583","DOI":"10.1158\/1078-0432.CCR-17-2507","volume":"24","author":"J Song","year":"2018","unstructured":"J. Song, J. Shi, D. Dong, M. Fang, W. Zhong, K. Wang, N. Wu, Y. Huang, Z. Liu, Y. Cheng, Y. Gan, Y. Zhou, P. Zhou, B. Chen, C. Liang, Z. Liu, W. Li, J. Tian: A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy. Clin Cancer Res 24(15): 3583-3592, 2018. https:\/\/doi.org\/10.1158\/1078-0432.CCR-17-2507.","journal-title":"Clin Cancer Res"},{"key":"484_CR26","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.lungcan.2019.03.025","volume":"132","author":"W Tu","year":"2019","unstructured":"W. Tu, G. Sun, L. Fan, Y. Wang, Y. Xia, Y. Guan, Q. Li, D. Zhang, S. Liu, Z. Li: Radiomics signature: a potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology. Lung Cancer 132: 28-35, 2019. https:\/\/doi.org\/10.1016\/j.lungcan.2019.03.025.","journal-title":"Lung Cancer"},{"key":"484_CR27","doi-asserted-by":"publisher","unstructured":"Z Sun, S Hu, Y Ge, J Wang, S Duan, J Song, C Hu, Y Li: Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features. J Xray Sci Technol 28(3):449\u2013459, 2020. https:\/\/doi.org\/10.3233\/XST-190642.","DOI":"10.3233\/XST-190642"},{"issue":"4","key":"484_CR28","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1111\/1759-7714.13352","volume":"11","author":"J Yoon","year":"2020","unstructured":"J. Yoon, Y.J. Suh, K. Han, H. Cho, H.J. Lee, J. Hur, B.W. Choi: Utility of CT radiomics for prediction of PD-L1 expression in advanced lung adenocarcinomas. Thoracic Cancer 11(4): 993-1004, 2020. https:\/\/doi.org\/10.1111\/1759-7714.13352.","journal-title":"Thoracic Cancer"},{"issue":"9","key":"484_CR29","doi-asserted-by":"publisher","first-page":"733","DOI":"10.3779\/j.issn.1009-3419.2020.101.43","volume":"23","author":"Chinese Anti-Cancer Association","year":"2020","unstructured":"Chinese Anti-Cancer Association, Lung Cancer Study Group of Committee of Oncopathology, Chinese Society of Lung Cancer, Expert Group on PD-L1 Testing Consensus: Chinese expert consensus on standards of PD-L1 immunohistochemistry testing for non-small cell lung cancer (in Chinese). Chin J Lung Cancer 23(9): 733-740, 2020. https:\/\/doi.org\/10.3779\/j.issn.1009-3419.2020.101.43.","journal-title":"Chin J Lung Cancer"},{"key":"484_CR30","doi-asserted-by":"publisher","unstructured":"A Zwanenburg, M Valli\u00e8res, MA. Abdalah, HJWL. Aerts, v Andrearczyk, A Apte, S Ashrafinia, S Bakas, RJ. Beukinga, R Boellaard, M Bogowicz, L Boldrini, I Buvat, GJR. Cook, C Davatzikos, A Depeursinge, MC Desseroit, N Dinapoli, CV Dinh, S Echegaray, IE Naqa, AY. Fedorov, R Gatta, RJ. Gillies, V Goh, M G\u00f6tz, M Guckenberger, SM Ha, M Hatt, F Isensee, P Lambin, S Leger, RTH. Leijenaar, J Lenkowicz, F Lippert, A Losneg\u00e5rd, KH. Maier-Hein, O Morin, H M\u00fcller, S Napel, C Nioche, F Orlhac, S Pati, EAG. Pfaehler, A Rahmim, A Rao, J Scherer, MM Siddique, NM. Sijtsema, JS Fernandez, E Spezi, R Steenbakkers, S Tanadini-Lang, D Thorwarth, EGC. Troost, T Upadhaya, V Valentini, LV. Dijk, J Griethuysen, FHP. Velden, P Whybra, C Richter, S L\u00f6ck: The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping, Radiology 295(2): 328\u2013338, 2020. https:\/\/doi.org\/10.1148\/radiol.2020191145.","DOI":"10.1148\/radiol.2020191145"},{"issue":"10","key":"484_CR31","doi-asserted-by":"publisher","first-page":"4082","DOI":"10.1007\/s00330-017-4800-5","volume":"27","author":"J Wang","year":"2017","unstructured":"J. Wang, C.J. Wu, M.L. Bao, J. Zhang, X.N. Wang, Y.D. Zhang: Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer. Eur Radiol 27(10): 4082-4090, 2017. https:\/\/doi.org\/10.1007\/s00330-017-4800-5.","journal-title":"Eur Radiol"},{"issue":"5","key":"484_CR32","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0124165","volume":"10","author":"A Chalkidou","year":"2015","unstructured":"A. Chalkidou, M.J. O\u2019Doherty, P.K. Marsden: False discovery rates in PET and CT studies with texture features: a systematic review. PLoS One 10(5): e0124165, 2015. https:\/\/doi.org\/10.1371\/journal.pone.0124165.","journal-title":"PLoS One"},{"key":"484_CR33","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.lungcan.2020.05.028","volume":"146","author":"I Fornacon-Wood","year":"2020","unstructured":"I. Fornacon-Wood, C. Faivre-Finn, J.P.B. O\u2019Connor, G.J. Price: Radiomics as a personalized medicine tool in lung cancer: separating the hope from the hype. Lung Cancer 146: 197-208, 2020. https:\/\/doi.org\/10.1016\/j.lungcan.2020.05.028.","journal-title":"Lung Cancer"},{"key":"484_CR34","doi-asserted-by":"publisher","unstructured":"H Borghaei, L Paz-Ares, L Horn, DR. Spigel, M Steins, NE. Ready, LQ. Chow, EE. Vokes, E Felip, E Holgado, F Barlesi, M Kohlh\u00e4ufl, O Arrieta, MA Burgio, J Fayette, H Lena, E Poddubskaya, DE. Gerber, SN. Gettinger, CM. Rudin, N Rizvi, L Crin\u00f2, GR. Blumenschein, SJ. Antonia, C Dorange, CT. Harbison, FG Finckenstein, JR. Brahmer: Nivolumab versus Docetaxel in advanced nonsquamous non\u2013small-cell lung cancer. N Engl J Med 373(17):1627\u201339, 2015. https:\/\/doi.org\/10.1056\/NEJMoa1507643.","DOI":"10.1056\/NEJMoa1507643"},{"issue":"12","key":"484_CR35","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"P. Lambin, R.T.H. Leijenaar, T.M. Deist, J. Peerlings, E.E.C. De Jong, J. Van Timmeren, S. Sanduleanu, R.T.H.M. Larue, A.J.G. Even, A. Jochems, Y. Van Wijk, H. Woodruff, J. Van Soest, T. Lustberg, E. Roelofs, W. Van Elmpt, A. Dekker, F.M. Mottaghy, J.E. Wildberger, S. Walsh: Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14(12): 749-762, 2017. https:\/\/doi.org\/10.1038\/nrclinonc.2017.141.","journal-title":"Nat Rev Clin Oncol"},{"issue":"4","key":"484_CR36","doi-asserted-by":"publisher","first-page":"199","DOI":"10.4132\/jptm.2019.04.24","volume":"53","author":"H Kim","year":"2019","unstructured":"H Kim, JH Chung: PD-L1 testing in non-small cell lung cancer: past, present, and future. J Pathol Transl Med 53(4): 199-206, 2019. https:\/\/doi.org\/10.4132\/jptm.2019.04.24.","journal-title":"J Pathol Transl Med"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-021-00484-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-021-00484-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-021-00484-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T21:03:52Z","timestamp":1635368632000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-021-00484-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,29]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["484"],"URL":"https:\/\/doi.org\/10.1007\/s10278-021-00484-9","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,29]]},"assertion":[{"value":"28 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Approval was obtained from the ethics committee of Zhongshan Hospital Fudan University and Shandong Cancer Hospital. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}