{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T23:06:45Z","timestamp":1791932805487,"version":"4.3.4"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cardiovasc Intervent Radiol"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s00270-024-03680-6","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T16:02:21Z","timestamp":1709136141000},"page":"462-471","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Radiomics-Based Prediction Model for Outcome of Radioembolization in Metastatic Colorectal Cancer"],"prefix":"10.1007","volume":"47","author":[{"given":"Wolfgang","family":"Roll","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max","family":"Masthoff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"K\u00f6hler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kambiz","family":"Rahbar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars","family":"Stegger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Ventura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haluk","family":"Morg\u00fcl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonel","family":"Trebicka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Sch\u00e4fers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walter","family":"Heindel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moritz","family":"Wildgruber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8098-9853","authenticated-orcid":false,"given":"Philipp","family":"Schindler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"issue":"3","key":"3680_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209\u201349.","journal-title":"CA Cancer J Clin"},{"issue":"6","key":"3680_CR2","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394\u2013424.","journal-title":"CA Cancer J Clin"},{"issue":"4","key":"3680_CR3","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1136\/gutjnl-2015-310912","volume":"66","author":"M Arnold","year":"2017","unstructured":"Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017;66(4):683\u201391.","journal-title":"Gut"},{"issue":"4","key":"3680_CR4","first-page":"217","volume":"11","author":"D Li","year":"2014","unstructured":"Li D, Kang J, Golas BJ, Yeung VW, Madof DC. Minimally invasive local therapies for liver cancer. Cancer Biol Med. 2014;11(4):217\u201336.","journal-title":"Cancer Biol Med"},{"key":"3680_CR5","doi-asserted-by":"publisher","DOI":"10.3390\/CANCERS14225685","author":"I Yu","year":"2022","unstructured":"Yu I, Wu R, Tokumaru Y, Terracina KP, Takabe K. The Role of the microbiome on the pathogenesis and treatment of colorectal cancer. Cancers (Basel). 2022. https:\/\/doi.org\/10.3390\/CANCERS14225685.","journal-title":"Cancers (Basel)"},{"issue":"9","key":"3680_CR6","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1016\/S1470-2045(17)30457-6","volume":"18","author":"HS Wasan","year":"2017","unstructured":"Wasan HS, Gibbs P, Sharma N, Taieb J, Heinemann V, Ricke J, et al. First-line selective internal radiotherapy plus chemotherapy versus chemotherapy alone in patients with liver metastases from colorectal cancer (FOXFIRE, SIRFLOX, and FOXFIRE-Global): a combined analysis of three multicentre, randomised, phase 3 trials. Lancet Oncol. 2017;18(9):1159\u201371.","journal-title":"Lancet Oncol"},{"issue":"4","key":"3680_CR7","doi-asserted-by":"publisher","first-page":"e617","DOI":"10.1016\/j.clcc.2018.06.001","volume":"17","author":"P Gibbs","year":"2018","unstructured":"Gibbs P, Heinemann V, Sharma N, Taieb J, Ricke J, Peeters M, et al. Effect of primary tumor side on survival outcomes in untreated patients with metastatic colorectal cancer when selective internal radiation therapy is added to chemotherapy: combined analysis of two randomized controlled studies. Clin Colorectal Cancer. 2018;17(4):e617\u201329.","journal-title":"Clin Colorectal Cancer"},{"issue":"35","key":"3680_CR8","first-page":"3897","volume":"39","author":"MF Mulcahy","year":"2021","unstructured":"Mulcahy MF, Mahvash A, Pracht M, Montazeri AH, Bandula S, Martin RCG, et al. Radioembolization with chemotherapy for colorectal liver metastases: a randomized, open-label, international, multicenter. Phase III Trial J Clin Oncol. 2021;39(35):3897\u2013907.","journal-title":"Phase III Trial J Clin Oncol"},{"issue":"3","key":"3680_CR9","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1245\/s10434-014-4164-x","volume":"22","author":"A Saxena","year":"2015","unstructured":"Saxena A, Meteling B, Kapoor J, Golani S, Morris DL, Bester L. Is yttrium-90 radioembolization a viable treatment option for unresectable, chemorefractory colorectal cancer liver metastases? A large single-center experience of 302 patients. Ann Surg Oncol. 2015;22(3):794\u2013802.","journal-title":"Ann Surg Oncol"},{"issue":"1","key":"3680_CR10","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.clon.2018.09.002","volume":"31","author":"J White","year":"2019","unstructured":"White J, Carolan-Rees G, Dale M, Morgan HE, Patrick HE, See TC, et al. Analysis of a national programme for selective internal radiation therapy for colorectal cancer liver metastases. Clin Oncol (R Coll Radiol). 2019;31(1):58\u201366.","journal-title":"Clin Oncol (R Coll Radiol)"},{"issue":"4","key":"3680_CR11","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s00432-013-1564-4","volume":"140","author":"A Saxena","year":"2014","unstructured":"Saxena A, Bester L, Shan L, Perera M, Gibbs P, Meteling B, et al. A systematic review on the safety and efficacy of yttrium-90 radioembolization for unresectable, chemorefractory colorectal cancer liver metastases. J Cancer Res Clin Oncol. 2014;140(4):537\u201347.","journal-title":"J Cancer Res Clin Oncol"},{"issue":"5","key":"3680_CR12","doi-asserted-by":"publisher","first-page":"665","DOI":"10.2967\/jnumed.115.166082","volume":"57","author":"R Hickey","year":"2016","unstructured":"Hickey R, Lewandowski RJ, Prudhomme T, Ehrenwald E, Baigorri B, Critchfield J, et al. 90Y Radioembolization of colorectal hepatic metastases using glass microspheres: safety and survival outcomes from a 531-patient multicenter study. J Nucl Med. 2016;57(5):665\u201371.","journal-title":"J Nucl Med"},{"issue":"11","key":"3680_CR13","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1097\/RLI.0b013e31829810f7","volume":"48","author":"F Morsbach","year":"2013","unstructured":"Morsbach F, Pfammatter T, Reiner CS, Fischer MA, Sah BR, Winklhofer S, et al. Computed tomographic perfusion imaging for the prediction of response and survival to transarterial radioembolization of liver metastases. Invest Radiol. 2013;48(11):787\u201394.","journal-title":"Invest Radiol"},{"issue":"12","key":"3680_CR14","doi-asserted-by":"publisher","first-page":"1564","DOI":"10.1016\/j.jvir.2009.08.013","volume":"20","author":"KT Sato","year":"2009","unstructured":"Sato KT, Omary RA, Takehana C, Ibrahim S, Lewandowski RJ, Ryu RK, et al. The role of tumor vascularity in predicting survival after yttrium-90 radioembolization for liver metastases. J Vasc Interv Radiol. 2009;20(12):1564\u20139.","journal-title":"J Vasc Interv Radiol"},{"issue":"2","key":"3680_CR15","doi-asserted-by":"publisher","first-page":"255","DOI":"10.2967\/jnumed.111.094235","volume":"53","author":"E Garin","year":"2012","unstructured":"Garin E, Lenoir L, Rolland Y, Edeline J, Mesbah H, Laffont S, et al. Dosimetry based on 99\u00a0mTc-macroaggregated albumin SPECT\/CT accurately predicts tumor response and survival in hepatocellular carcinoma patients treated with 90Y-loaded glass microspheres: preliminary results. J Nucl Med. 2012;53(2):255\u201363.","journal-title":"J Nucl Med"},{"key":"3680_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2385-5-7","author":"A Dhabuwala","year":"2005","unstructured":"Dhabuwala A, Lamerton P, Stubbs RS. Relationship of 99mtechnetium labelled macroaggregated albumin (99mTc-MAA) uptake by colorectal liver metastases to response following selective internal radiation therapy (SIRT). BMC Nucl Med. 2005. https:\/\/doi.org\/10.1186\/1471-2385-5-7.","journal-title":"BMC Nucl Med"},{"issue":"12","key":"3680_CR17","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749\u201362.","journal-title":"Nat Rev Clin Oncol"},{"issue":"2","key":"3680_CR18","first-page":"563","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures. They Are Data Radiology. 2016;278(2):563\u201377.","journal-title":"They Are Data Radiology"},{"issue":"23","key":"3680_CR19","doi-asserted-by":"publisher","first-page":"7209","DOI":"10.1158\/1078-0432.CCR-17-0306","volume":"23","author":"JG Joung","year":"2017","unstructured":"Joung JG, Oh BY, Hong HK, Al-Khalidi H, Al-Alem F, Lee HO, et al. Tumor heterogeneity predicts metastatic potential in colorectal cancer. Clin Cancer Res. 2017;23(23):7209\u201316.","journal-title":"Clin Cancer Res"},{"key":"3680_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/CANCERS13153849","author":"W Roll","year":"2021","unstructured":"Roll W, Schindler P, Masthoff M, Seifert R, Schlack K, B\u00f6gemann M, et al. Evaluation of 68 Ga-PSMA-11 PET-MRI in patients with advanced prostate cancer receiving 177 Lu-PSMA-617 therapy: a radiomics analysis. Cancers (Basel). 2021. https:\/\/doi.org\/10.3390\/CANCERS13153849.","journal-title":"Cancers (Basel)"},{"issue":"5","key":"3680_CR21","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1159\/000494099","volume":"8","author":"L Yang","year":"2019","unstructured":"Yang L, Gu D, Wei J, Yang C, Rao S, Wang W, et al. A radiomics nomogram for preoperative prediction of microvascular invasion in hepatocellular carcinoma. Liver cancer. 2019;8(5):373\u201386.","journal-title":"Liver cancer"},{"key":"3680_CR22","doi-asserted-by":"publisher","DOI":"10.3389\/FONC.2022.788968\/FULL","author":"J Lv","year":"2022","unstructured":"Lv J, Chen X, Liu X, Du D, Lv W, Lu L, et al. Imbalanced data correction based PET\/CT radiomics model for predicting lymph node metastasis in clinical stage T1 lung adenocarcinoma. Front Oncol. 2022. https:\/\/doi.org\/10.3389\/FONC.2022.788968\/FULL.","journal-title":"Front Oncol"},{"issue":"2","key":"3680_CR23","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41571-021-00560-7","volume":"19","author":"K Bera","year":"2021","unstructured":"Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2021;19(2):132\u201346.","journal-title":"Nat Rev Clin Oncol"},{"key":"3680_CR24","doi-asserted-by":"publisher","DOI":"10.1109\/cibcb.2019.8791473","author":"A Bizzego","year":"2019","unstructured":"Bizzego A, Bussola N, Salvalai D, Chierici M, Maggio V, Jurman G, et al. Integrating deep and radiomics features in cancer bioimaging. IEEE Conf Comput Intell Bioinform Comput Biol. 2019. https:\/\/doi.org\/10.1109\/cibcb.2019.8791473.","journal-title":"IEEE Conf Comput Intell Bioinform Comput Biol"},{"issue":"4","key":"3680_CR25","doi-asserted-by":"publisher","first-page":"W211","DOI":"10.2214\/AJR.16.17398","volume":"209","author":"HJ Park","year":"2017","unstructured":"Park HJ, Kim JH, Choi SY, Lee ES, Park SJ, Byun JY, et al. Prediction of therapeutic response of hepatocellular carcinoma to transcatheter arterial chemoembolization based on pretherapeutic dynamic CT and textural findings. AJR Am J Roentgenol. 2017;209(4):W211\u201320.","journal-title":"AJR Am J Roentgenol"},{"issue":"11","key":"3680_CR26","doi-asserted-by":"publisher","first-page":"13248","DOI":"10.18632\/oncotarget.7467","volume":"7","author":"M Li","year":"2016","unstructured":"Li M, Fu S, Zhu Y, Liu Z, Chen S, Lu L, et al. Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma. Oncotarget. 2016;7(11):13248\u201359.","journal-title":"Oncotarget"},{"issue":"23","key":"3680_CR27","doi-asserted-by":"publisher","first-page":"37855","DOI":"10.18632\/oncotarget.13675","volume":"8","author":"S Fu","year":"2017","unstructured":"Fu S, Chen S, Liang C, Liu Z, Zhu Y, Li Y, et al. Texture analysis of intermediate-advanced hepatocellular carcinoma: prognosis and patients\u2019 selection of transcatheter arterial chemoembolization and sorafenib. Oncotarget. 2017;8(23):37855\u201365.","journal-title":"Oncotarget"},{"key":"3680_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/J.EJRO.2021.100375","author":"A Kobe","year":"2021","unstructured":"Kobe A, Zgraggen J, Messmer F, Puippe G, Sartoretti T, Alkadhi H, et al. Prediction of treatment response to transarterial radioembolization of liver metastases: radiomics analysis of pre-treatment cone-beam CT: a proof of concept study. Eur J Radiol open. 2021. https:\/\/doi.org\/10.1016\/J.EJRO.2021.100375.","journal-title":"Eur J Radiol open"},{"issue":"8","key":"3680_CR29","doi-asserted-by":"publisher","first-page":"4534","DOI":"10.1007\/s00330-020-06795-9","volume":"30","author":"C Mosconi","year":"2020","unstructured":"Mosconi C, Cucchetti A, Bruno A, Cappelli A, Bargellini I, De Benedittis C, et al. Radiomics of cholangiocarcinoma on pretreatment CT can identify patients who would best respond to radioembolisation. Eur Radiol. 2020;30(8):4534\u201344.","journal-title":"Eur Radiol"},{"issue":"8","key":"3680_CR30","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1093\/annonc\/mdw235","volume":"27","author":"E Van Cutsem","year":"2016","unstructured":"Van Cutsem E, Cervantes A, Adam R, Sobrero A, Van Krieken JH, Aderka D, et al. ESMO consensus guidelines for the management of patients with metastatic colorectal cancer. Ann Oncol. 2016;27(8):1386\u2013422.","journal-title":"Ann Oncol"},{"issue":"5","key":"3680_CR31","doi-asserted-by":"publisher","first-page":"1682","DOI":"10.1007\/s00259-021-05600-z","volume":"49","author":"M Weber","year":"2022","unstructured":"Weber M, Lam M, Chiesa C, Konijnenberg M, Cremonesi M, Flamen P, et al. EANM procedure guideline for the treatment of liver cancer and liver metastases with intra-arterial radioactive compounds. Eur J Nucl Med Mol Imaging. 2022;49(5):1682\u201399.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"4","key":"3680_CR32","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1002\/jso.24141","volume":"113","author":"O Akinwande","year":"2016","unstructured":"Akinwande O, Philips P, Scoggins CR, Kelly L, Tatum C, Hahl M, et al. Comparison of tumor response assessment methods in patients with metastatic colorectal cancer after locoregional therapy. J Surg Oncol. 2016;113(4):443\u20138.","journal-title":"J Surg Oncol"},{"key":"3680_CR33","doi-asserted-by":"publisher","DOI":"10.3389\/FONC.2014.00038","author":"AS Pasciak","year":"2014","unstructured":"Pasciak AS, Bourgeois AC, McKinney JM, Chang TT, Osborne DR, Acuff SN, et al. Radioembolization and the dynamic role of (90)Y PET\/CT. Front Oncol. 2014. https:\/\/doi.org\/10.3389\/FONC.2014.00038.","journal-title":"Front Oncol"},{"key":"3680_CR34","doi-asserted-by":"publisher","DOI":"10.1159\/000512744","author":"P Schindler","year":"2020","unstructured":"Schindler P, Masthoff M, Harders F, Schmidt H, Stegger L, Pascher A, et al. Efficacy of 90Y-radioembolization in metastatic colorectal cancer depending on the primary tumor side. Dig Dis. 2020. https:\/\/doi.org\/10.1159\/000512744.","journal-title":"Dig Dis"},{"issue":"2","key":"3680_CR35","doi-asserted-by":"publisher","first-page":"15","DOI":"10.7815\/ijorcs.22.2012.017","volume":"2","author":"G Kaur","year":"2012","unstructured":"Kaur G, Kaur R. Image de-noising using wavelet transform and various filters. Int J Res Comput Sci. 2012;2(2):15\u201321.","journal-title":"Int J Res Comput Sci"},{"key":"3680_CR36","doi-asserted-by":"publisher","DOI":"10.1186\/S41747-018-0068-Z","author":"S Rizzo","year":"2018","unstructured":"Rizzo S, Botta F, Raimondi S, Origgi D, Fanciullo C, Morganti AG, et al. Radiomics: the facts and the challenges of image analysis. Eur Radiol Exp. 2018. https:\/\/doi.org\/10.1186\/S41747-018-0068-Z.","journal-title":"Eur Radiol Exp"},{"issue":"11","key":"3680_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v036.i11","volume":"36","author":"MB Kursa","year":"2010","unstructured":"Kursa MB, Rudnicki WR. Feature selection with the boruta package. J Stat Softw. 2010;36(11):1\u201313.","journal-title":"J Stat Softw"},{"issue":"5","key":"3680_CR38","doi-asserted-by":"publisher","first-page":"449","DOI":"10.4329\/wjr.v8.i5.449","volume":"8","author":"AH Mahnken","year":"2016","unstructured":"Mahnken AH. Current status of transarterial radioembolization. World J Radiol. 2016;8(5):449.","journal-title":"World J Radiol"},{"issue":"1","key":"3680_CR39","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1111\/j.1754-9485.2012.02459.x","volume":"57","author":"L Bester","year":"2013","unstructured":"Bester L, Meteling B, Pocock N, Saxena A, Chua TC, Morris DL. Radioembolisation with Yttrium-90 microspheres: an effective treatment modality for unresectable liver metastases. J Med Imaging Radiat Oncol. 2013;57(1):72\u201380.","journal-title":"J Med Imaging Radiat Oncol"},{"key":"3680_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/J.SOC.2022.07.009","author":"B Aykut","year":"2023","unstructured":"Aykut B, Lidsky ME. Colorectal cancer liver metastases: multimodal therapy. Surg Oncol Clin N Am. 2023. https:\/\/doi.org\/10.1016\/J.SOC.2022.07.009.","journal-title":"Surg Oncol Clin N Am"},{"key":"3680_CR41","doi-asserted-by":"publisher","DOI":"10.1038\/NCOMMS5006","author":"HJWL Aerts","year":"2014","unstructured":"Aerts HJWL, Velazquez ER, Leijenaar RTH, Parmar C, Grossmann P, Cavalho S, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014. https:\/\/doi.org\/10.1038\/NCOMMS5006.","journal-title":"Nat Commun"},{"key":"3680_CR42","doi-asserted-by":"publisher","first-page":"234","DOI":"10.3389\/fmed.2018.00234","volume":"5","author":"A Blank","year":"2018","unstructured":"Blank A, Roberts DE, Dawson H, Zlobec I, Lugli A. Tumor heterogeneity in primary colorectal cancer and corresponding metastases. Does the apple fall far from the tree? Front Med. 2018;5:234.","journal-title":"Front Med"},{"issue":"1","key":"3680_CR43","doi-asserted-by":"publisher","first-page":"19607","DOI":"10.1038\/s41598-022-23752-2","volume":"12","author":"L Cavinato","year":"2022","unstructured":"Cavinato L, Pegoraro M, Ragni A, Ieva F. Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance. Sci Rep. 2022;12(1):19607.","journal-title":"Sci Rep"},{"issue":"3","key":"3680_CR44","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1136\/gutjnl-2018-316407","volume":"69","author":"A Dohan","year":"2020","unstructured":"Dohan A, Gallix B, Guiu B, Le Malicot K, Reinhold C, Soyer P, et al. Early evaluation using a radiomic signature of unresectable hepatic metastases to predict outcome in patients with colorectal cancer treated with FOLFIRI and bevacizumab. Gut. 2020;69(3):531\u20139.","journal-title":"Gut"},{"issue":"1","key":"3680_CR45","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1515\/raon-2017-0052","volume":"52","author":"P Popovic","year":"2018","unstructured":"Popovic P, Leban A, Kregar K, Garbajs M, Dezman R, Bunc M. Computed tomographic perfusion imaging for the prediction of response and survival to transarterial chemoembolization of hepatocellular carcinoma. Radiol Oncol. 2018;52(1):14\u201322.","journal-title":"Radiol Oncol"},{"issue":"7","key":"3680_CR46","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1038\/s41571-019-0169-5","volume":"16","author":"M Gerwing","year":"2019","unstructured":"Gerwing M, Herrmann K, Helfen A, Schliemann C, Berdel WE, Eisenbl\u00e4tter M, et al. The beginning of the end for conventional RECIST\u2014novel therapies require novel imaging approaches. Nat Rev Clin Oncol. 2019;16(7):442\u201358.","journal-title":"Nat Rev Clin Oncol"},{"issue":"3","key":"3680_CR47","doi-asserted-by":"publisher","first-page":"1050","DOI":"10.1002\/mp.12123","volume":"44","author":"M Shafiq-Ul-hassan","year":"2017","unstructured":"Shafiq-Ul-hassan M, Zhang GG, Latifi K, Ullah G, Hunt DC, Balagurunathan Y, et al. Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med Phys. 2017;44(3):1050\u201362.","journal-title":"Med Phys"}],"container-title":["CardioVascular and Interventional Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00270-024-03680-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00270-024-03680-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00270-024-03680-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T16:02:52Z","timestamp":1712332972000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00270-024-03680-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,28]]},"references-count":47,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["3680"],"URL":"https:\/\/doi.org\/10.1007\/s00270-024-03680-6","relation":{},"ISSN":["0174-1551","1432-086X"],"issn-type":[{"value":"0174-1551","type":"print"},{"value":"1432-086X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,28]]},"assertion":[{"value":"26 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"K.R., M.W., L.S. and M.K. report receiving lectureship compensations and\/or proctoring fees by SIRTeX Medical Europe.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study protocol was reviewed and approved by the local ethics committee (Ethik-Kommission der \u00c4rztekammer Westfalen-Lippe und der medizinischen Fakult\u00e4t der WWU M\u00fcnster), approval number 2018\u2013638-f-S. For this type of study formal consent is not required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"This study has obtained IRB approval, and the need for informed consent was waived.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"For this type of study, consent for publication is not required.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}]}}