{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T07:54:01Z","timestamp":1771746841130,"version":"3.50.1"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T00:00:00Z","timestamp":1593820800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T00:00:00Z","timestamp":1593820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"crossref","award":["SA 3461\/2-1"],"award-info":[{"award-number":["SA 3461\/2-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["13GW0095A"],"award-info":[{"award-number":["13GW0095A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Purpose<\/jats:title>\n                <jats:p>Medical case-based reasoning solves problems by applying experience gained from the outcome of previous treatments of the same kind. Particularly for complex treatment decisions, for example, incidentally found intracranial aneurysms (IAs), it can support the medical expert. IAs bear the risk of rupture and may lead to subarachnoidal hemorrhages. Treatment needs to be considered carefully, since it may entail unnecessary complications for IAs with low rupture risk. With a rupture risk prediction based on previous cases, the treatment decision can be supported.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We present an interactive visual exploration tool for the case-based reasoning of IAs. In presence of a new aneurysm of interest, our application provides visual analytics techniques to identify the most similar cases with respect to morphology. The clinical expert can obtain the treatment, including the treatment outcome, for these cases and transfer it to the aneurysm of interest. Our application comprises a heatmap visualization, an adapted scatterplot matrix and fully or partially directed graphs with a circle- or force-directed layout to guide the interactive selection process. To fit the demands of clinical applications, we further integrated an interactive identification of outlier cases as well as an interactive attribute selection for the similarity calculation. A questionnaire evaluation with six trained physicians was used.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Result<\/jats:title>\n                <jats:p>Our application allows for case-based reasoning of IAs based on a reference data set. Three classifiers summarize the rupture state of the most similar cases. Medical experts positively evaluated the application.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Our case-based reasoning application combined with visual analytic techniques allows for representation of similar IAs to support the clinician. The graphical representation was rated very useful and provides visual information of the similarity of the <jats:italic>k<\/jats:italic> most similar cases.\n<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11548-020-02217-9","type":"journal-article","created":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T20:02:26Z","timestamp":1593892946000},"page":"1525-1535","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms"],"prefix":"10.1007","volume":"15","author":[{"given":"Lena","family":"Spitz","sequence":"first","affiliation":[]},{"given":"Uli","family":"Niemann","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Beuing","sequence":"additional","affiliation":[]},{"given":"Belal","family":"Neyazi","sequence":"additional","affiliation":[]},{"given":"I. Erol","family":"Sandalcioglu","sequence":"additional","affiliation":[]},{"given":"Bernhard","family":"Preim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9059-015X","authenticated-orcid":false,"given":"Sylvia","family":"Saalfeld","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,4]]},"reference":[{"key":"2217_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.3233\/AIC-1994-7104","volume":"7","author":"A Aamodt","year":"1994","unstructured":"Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun 7:39\u201359","journal-title":"AI Commun"},{"key":"2217_CR2","unstructured":"Aneurisk-Team (2012) AneuriskWeb project website. http:\/\/ecm2.mathcs.emory.edu\/aneuriskweb. Accessed 2 Mar 2020"},{"issue":"3","key":"2217_CR3","doi-asserted-by":"publisher","first-page":"72","DOI":"10.9781\/ijimai.2018.02.001","volume":"5","author":"M Benamina","year":"2018","unstructured":"Benamina M, Atmani B, Benbelkacem S (2018) Diabetes diagnosis by case-based reasoning and fuzzy logic. Int J Interact Multimed Artif Intell 5(3):72\u201380. https:\/\/doi.org\/10.9781\/ijimai.2018.02.001","journal-title":"Int J Interact Multimed Artif Intell"},{"issue":"10","key":"2217_CR4","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1007\/s11548-019-01986-2","volume":"14","author":"P Berg","year":"2019","unstructured":"Berg P, Vo\u00df S, Janiga G, Saalfeld S, Bergersen AW, Valen-Sendstad K, Bruening J, Goubergrits L, Spuler A, Chiu TL, Tsang ACO, Copelli G, Csippa B, Pa\u00e1l G, Z\u00e1vodszky G, Detmer FJ, Chung BJ, Cebral JR, Fujimura S, Takao H, Karmonik C, Elias S, Cancelliere NM, Najafi M, Steinman DA, Pereira VM, Piskin S, Finol EA, Pravdivtseva M, Velvaluri P, Rajabzadeh-Oghaz H, Paliwal N, Meng H, Seshadhri S, Venguru S, Shojima M, Sindeev S, Frolov S, Qian Y, Wu YA, Carlson KD, Kallmes DF, Dragomir-Daescu D, Beuing O (2019) Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)\u2014phase II: rupture risk assessment. Int J Comput Assist Radiol Surg 14(10):1795\u20131804","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2217_CR5","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/978-3-319-00551-5_17","volume-title":"Proc. of distributed computing and artificial intelligence","author":"X Blanco","year":"2013","unstructured":"Blanco X, Rodr\u00edguez S, Corchado JM, Zato C (2013) Case-based reasoning applied to medical diagnosis and treatment. In: Omatu S, Neves J, Rodriguez JMC, Paz Santana JF, Gonzalez SR (eds) Proc. of distributed computing and artificial intelligence. Springer, Cham, pp 137\u2013146"},{"issue":"3","key":"2217_CR6","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1002\/(SICI)1099-1174(199709)6:3<195::AID-ISAF132>3.0.CO;2-F","volume":"6","author":"SM Bryant","year":"1997","unstructured":"Bryant SM (1997) A case-based reasoning approach to bankruptcy prediction modeling. Intell Syst Account Financ Manag 6(3):195\u2013214","journal-title":"Intell Syst Account Financ Manag"},{"issue":"2","key":"2217_CR7","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1227\/NEU.0b013e31821661c3","volume":"69","author":"A Chien","year":"2011","unstructured":"Chien A, Sayre J, Vi\u00f1uela F (2011) Comparative morphological analysis of the geometry of ruptured and unruptured aneurysms. Neurosurgery 69(2):349\u2013356","journal-title":"Neurosurgery"},{"issue":"1","key":"2217_CR8","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.artmed.2011.06.002","volume":"53","author":"CL Chuang","year":"2011","unstructured":"Chuang CL (2011) Case-based reasoning support for liver disease diagnosis. Artif Intell Med 53(1):15\u201323","journal-title":"Artif Intell Med"},{"key":"2217_CR9","doi-asserted-by":"publisher","first-page":"2425","DOI":"10.1007\/s00701-018-3712-8","volume":"160","author":"F Detmer","year":"2018","unstructured":"Detmer F, Fajardo-Jim\u00e9nez D, Mut Fea (2018) External validation of cerebral aneurysm rupture probability model with data from two patient cohorts. Acta Neurochir 160:2425\u20132434. https:\/\/doi.org\/10.1007\/s00701-018-3712-8","journal-title":"Acta Neurochir"},{"issue":"11","key":"2217_CR10","doi-asserted-by":"publisher","first-page":"1767","DOI":"10.1007\/s11548-018-1837-0","volume":"13","author":"FJ Detmer","year":"2018","unstructured":"Detmer FJ, Chung BJ, Mut F, Slawski M, Hamzei-Sichani F, Putman C, Jim\u00e9nez C, Cebral JR (2018) Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics. Int J Comput Assist Radiol Surg 13(11):1767\u20131779","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"1","key":"2217_CR11","doi-asserted-by":"publisher","first-page":"E16","DOI":"10.3171\/2019.4.FOCUS19145","volume":"47","author":"FJ Detmer","year":"2019","unstructured":"Detmer FJ, Hadad S, Chung B, Mut F, Slawski M, Juchler N, Kurtcuoglu V, Hirsch S, Bijlenga P, Uchiyama Y, Fujimura S, Yamamoto M, Murayama Y, Takao H, Koivisto T, Fr\u00f6sen J, Cebral JR (2019) Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics. Neurosurg Focus 47(1):E16. https:\/\/doi.org\/10.3171\/2019.4.FOCUS19145","journal-title":"Neurosurg Focus"},{"issue":"2","key":"2217_CR12","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1227\/01.NEU.0000316847.64140.81","volume":"63","author":"S Dhar","year":"2008","unstructured":"Dhar S, Tremmel M, Mocco J, Kim M, Yamamoto J, Siddiqui AH, Hopkins LN, Meng H (2008) Morphology parameters for intracranial aneurysm rupture risk assessment. Neurosurgery 63(2):185\u2013196","journal-title":"Neurosurgery"},{"key":"2217_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/S0269888906000622","volume":"20","author":"A Holt","year":"2005","unstructured":"Holt A, Perner P, Bichindaritz I (2005) Medical applications in case-based reasoning. Knowl Eng Rev 20:1\u201324","journal-title":"Knowl Eng Rev"},{"issue":"1","key":"2217_CR14","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1161\/STROKEAHA.108.521674","volume":"40","author":"T Ishibashi","year":"2008","unstructured":"Ishibashi T, Murayama Y, Urashima M, Saguchi T, Ebara M, Arakawa H, Irie K, Takao H, Abe T (2008) Unruptured intracranial aneurysms-incidence of rupture and risk factors. Stroke 40(1):313\u2013316. https:\/\/doi.org\/10.1161\/STROKEAHA.108.521674","journal-title":"Stroke"},{"key":"2217_CR15","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1093\/ietisy\/e89-d.1.340","volume":"89","author":"S Kobashi","year":"2006","unstructured":"Kobashi S, Kondo K, Hata Y (2006) Computer-aided diagnosis of intracranial aneurysms in mra images with case-based reasoning. IEICE Trans Inf Syst 89:340\u2013350. https:\/\/doi.org\/10.1093\/ietisy\/e89-d.1.340","journal-title":"IEICE Trans Inf Syst"},{"issue":"2","key":"2217_CR16","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1023\/B:ABME.0000012746.31343.92","volume":"32","author":"B Ma","year":"2004","unstructured":"Ma B, Harbaugh RE, Raghavan ML (2004) Three-dimensional geometrical characterization of cerebral aneurysms. Ann Biomed Eng 32(2):264\u2013273","journal-title":"Ann Biomed Eng"},{"key":"2217_CR17","doi-asserted-by":"crossref","unstructured":"Niemann U, Berg P, Niemann A, Beuing O, Preim B, Spiliopoulou M, Saalfeld S (2018) Rupture status classification of intracranial aneurysms using morphological parameters. In: Proc of IEEE symposium on computer-based medical systems, pp 48\u2013 53","DOI":"10.1109\/CBMS.2018.00016"},{"issue":"1","key":"2217_CR18","first-page":"1005","volume":"1","author":"A Ochoa","year":"2016","unstructured":"Ochoa A, Hernandez A, Ponce J, Herrera AM (2016) Case-based reasoning for diagnosis heart failure. Austin Cardiol 1(1):1005","journal-title":"Austin Cardiol"},{"issue":"11","key":"2217_CR19","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1007\/s11548-018-1848-x","volume":"13","author":"S Saalfeld","year":"2018","unstructured":"Saalfeld S, Berg P, Niemann A, Luz M, Preim B, Beuing O (2018) Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters. Int J Comput Assist Radiol Surg 13(11):1781\u20131793","journal-title":"Int J Comput Assist Radiol Surg"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-020-02217-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-020-02217-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-020-02217-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,4]],"date-time":"2021-07-04T00:01:30Z","timestamp":1625356890000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-020-02217-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,4]]},"references-count":19,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["2217"],"URL":"https:\/\/doi.org\/10.1007\/s11548-020-02217-9","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,4]]},"assertion":[{"value":"11 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2020","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 Lena Spitz, Uli Niemann, Oliver Beuing, Belal Neyazi, I. Erol Sandacioglu, Bernhard Preim and Sylvia Saalfeld 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 institutional and\/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","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"}}]}}