{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T23:14:55Z","timestamp":1791328495928,"version":"4.3.1"},"reference-count":28,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"1","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background and Purpose\u2014<\/jats:title>\n                    <jats:p>Vertebrobasilar, nonsaccular, and dolichoectatic aneurysms generally have a poor natural history. We performed a study examining the natural history of vertebrobasilar, nonsaccular, and dolichoectatic aneurysms receiving serial imaging and studied imaging characteristics associated with growth and rupture.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods\u2014<\/jats:title>\n                    <jats:p>\n                      We included all vertebrobasilar dolichoectatic, fusiform, and transitional aneurysms with serial imaging follow-up seen at our institution over a 15-year period. Two radiologists and a neurologist evaluated aneurysms for size, type, mural T1 signal, mural thrombus, daughter sac, mass effect, and tortuosity. Primary outcomes were aneurysm growth or rupture. Univariate analysis was performed with chi-squared tests for categorical variables and Student\u2019s\n                      <jats:italic>t<\/jats:italic>\n                      test or analysis of variance for continuous variables. Multivariate logistic regression analysis was performed to identify variables independently associated with aneurysm growth or rupture.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results\u2014<\/jats:title>\n                    <jats:p>\n                      One hundred and fifty-two patients with 542 patient-years (mean 3.6\u00b13.5 years) of imaging follow-up were included. Aneurysms were fusiform in 45 cases (29.6%), dolichoectatic in 75 cases (49.3%), and transitional in 32 cases (21.1%). Thirty-five aneurysms (23.0%) grew (growth rate=6.5%\/year). Eight aneurysms (5.3%) ruptured (rupture rate=1.5%\/year). Variables associated with growth and rupture on univariate analysis were size &gt;10 mm (57.6% versus 16.0%,\n                      <jats:italic>P<\/jats:italic>\n                      &lt;0.0001), mural T1 signal (39.7% versus 16.3%,\n                      <jats:italic>P<\/jats:italic>\n                      =0.001), daughter sac (56.3% versus 21.3%), and mural thrombus (45.5% versus 13.4%,\n                      <jats:italic>P<\/jats:italic>\n                      &lt;0.0001). 26.7% of fusiform aneurysms, 9.3% of dolichoectatic aneurysms, and 59.4% of transitional aneurysms grew or ruptured (\n                      <jats:italic>P<\/jats:italic>\n                      &lt;0.0001). The only variable independently associated with rupture was transitional morphology (\n                      <jats:italic>P<\/jats:italic>\n                      =0.003).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions\u2014<\/jats:title>\n                    <jats:p>Vertebrobasilar, nonsaccular, and dolichoectatic aneurysms are associated with a poor natural history with high growth and rupture rates. Further research is needed to determine the best treatments for this disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/strokeaha.115.011671","type":"journal-article","created":{"date-parts":[[2015,11,25]],"date-time":"2015-11-25T01:52:17Z","timestamp":1448416337000},"page":"106-112","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":58,"title":["Imaging Characteristics of Growing and Ruptured Vertebrobasilar Non-Saccular and Dolichoectatic Aneurysms"],"prefix":"10.1161","volume":"47","author":[{"given":"Deena M.","family":"Nasr","sequence":"first","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waleed","family":"Brinjikji","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aymeric","family":"Rouchaud","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramanathan","family":"Kadirvel","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly D.","family":"Flemming","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David F.","family":"Kallmes","sequence":"additional","affiliation":[{"name":"From the Department of Neurology, Mayo Clinic, Rochester, MN (D.M.N., K.D.F.); and Department of Radiology, Mayo Clinic, Rochester, MN (W.B., A.R., R.K., D.F.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1159\/000087710"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1749-6632.2009.05114.x"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3171\/jns.2005.102.1.0072"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000286947.89193.f3"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1136\/neurintsurg-2013-010793"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.7461\/jcen.2013.15.1.30"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.3171\/2014.7.JNS132595"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2010.181"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A3873"},{"key":"e_1_3_2_11_2","first-page":"61","article-title":"High-resolution computed tomography of the basilar artery: 2. 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