{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:04:48Z","timestamp":1761973488098,"version":"build-2065373602"},"reference-count":12,"publisher":"The Japanese Society of Interventional Radiology","issue":"0","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,31]]},"DOI":"10.22575\/interventionalradiology.2025-0034","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:08:36Z","timestamp":1761862116000},"page":"e2025-0034-e2025-0034","source":"Crossref","is-referenced-by-count":0,"title":["Optimal Virtual-target Definition for Detecting Feeding Arteries of Renal Cell Carcinoma Using Automated Feeder-detection Software"],"prefix":"10.22575","volume":"10","author":[{"given":"Soichiro","family":"Okamoto","sequence":"first","affiliation":[{"name":"Department of Radiology, Medical Development Field, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuke","family":"Matsui","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takahiro","family":"Kawabata","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tsuyama Chuo Hospital"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koji","family":"Tomita","sequence":"additional","affiliation":[{"name":"Department of Radiology, Medical Development Field, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuaki","family":"Munetomo","sequence":"additional","affiliation":[{"name":"Department of Radiology, Medical Development Field, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noriyuki","family":"Umakoshi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Medical Development Field, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumiyo","family":"Higaki","sequence":"additional","affiliation":[{"name":"Department of Radiology, Medical Development Field, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshihiro","family":"Iguchi","sequence":"additional","affiliation":[{"name":"Department of Radiological Technology, Faculty of Health Sciences, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takao","family":"Hiraki","sequence":"additional","affiliation":[{"name":"Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"9863","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"1. Gobara H, Matsui Y, Uka M, et al. Percutaneous cryoablation combined with prior transcatheter arterial embolization for renal cell carcinomas of 3 cm or larger: a prospective study. Int J Clin Oncol. 2022; 27: 1589-1595.","DOI":"10.1007\/s10147-022-02224-7"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2. Winokur RS, Pua BB, Madoff DC. Role of combined embolization and ablation in management of renal masses. Semin Intervent Radiol. 2014; 31: 82-85.","DOI":"10.1055\/s-0033-1363846"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3. Miller JM, Julien P, Wachsman A, Van Allan RJ, Friedman ML. The role of embolization in reducing the complications of cryoablation in renal cell carcinoma. Clin Radiol. 2014; 69: 1045-1049.","DOI":"10.1016\/j.crad.2014.05.110"},{"key":"4","doi-asserted-by":"crossref","unstructured":"4. Tsuji Y, Miura H, Hirota T, et al. Transarterial ethiodised oil marking before CT-guided renal cryoablation: evaluation of tumour visibility in various renal cell carcinoma subtypes. Clin Radiol. 2023; 78: 279-285.","DOI":"10.1016\/j.crad.2022.12.010"},{"key":"5","doi-asserted-by":"publisher","unstructured":"5. Kubo T, Arai Y, Sone M, et al. Detectability of feeding arteries using automated feeding artery detection software based on CT arteriography in transarterial embolisation. Singapore Med J. 2022; 10.11622\/smedj.2022060.","DOI":"10.11622\/smedj.2022060"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6. Cui Z, Shukla PA, Habibollahi P, Park HS, Fischman A, Kolber MK. A systematic review of automated feeder detection software for locoregional treatment of hepatic tumors. Diagn Interv Imaging. 2020; 101: 439-449.","DOI":"10.1016\/j.diii.2020.01.011"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7. Matsui Y, Tomita K, Uka M, et al. Automated feeder-detection software for renal cell carcinoma embolization: A retrospective evaluation of detection rate using transarterial time-resolved computed tomography angiography. Cardiovasc Intervent Radiol. 2024; 47: 132-138.","DOI":"10.1007\/s00270-023-03611-x"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8. Iwazawa J, Ohue S, Hashimoto N, Mitani T. Accuracy of software-assisted detection of tumour feeders in transcatheter hepatic chemoembolization using three target definition protocols. Clin Radiol. 2014; 69: 145-150.","DOI":"10.1016\/j.crad.2013.09.005"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9. Kanda Y. Investigation of the freely available easy-to-use software  &apos;EZR&apos;  for medical statistics. Bone Marrow Transplant. 2013; 48: 452-458.","DOI":"10.1038\/bmt.2012.244"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10. Iwazawa J, Ohue S, Hashimoto N, Mitani T. Comparison of the number of image acquisitions and procedural time required for transarterial chemoembolization of hepatocellular carcinoma with and without tumor-feeder detection software. Radiol Res Pract. 2013; 2013: 580839.","DOI":"10.1155\/2013\/580839"},{"key":"11","doi-asserted-by":"crossref","unstructured":"11. Miyayama S, Yamashiro M, Sugimori N, Ikeda R, Okimura K, Sakuragawa N. Outcomes of patients with hepatocellular carcinoma treated with conventional transarterial chemoembolization using guidance software. J Vasc Interv Radiol. 2019; 30: 10-18.","DOI":"10.1016\/j.jvir.2018.08.009"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12. Miyayama S, Yamashiro M, Nagai K, Tohyama J, Kawamura K. Efficacy of automated tumor-feeder detection software using cone-beam computed tomography technology in transarterial targeted therapy. Interv Radiol (Higashimatsuyama). 2016; 1: 28-38.","DOI":"10.22575\/interventionalradiology.1.1_28"}],"container-title":["Interventional Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/interventionalradiology\/10\/0\/10_2025-0034\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:45:44Z","timestamp":1761972344000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/interventionalradiology\/10\/0\/10_2025-0034\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,31]]},"references-count":12,"journal-issue":{"issue":"0","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.22575\/interventionalradiology.2025-0034","relation":{},"ISSN":["2432-0935"],"issn-type":[{"type":"electronic","value":"2432-0935"}],"subject":[],"published":{"date-parts":[[2025,10,31]]},"article-number":"2025-0034"}}