{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T22:53:05Z","timestamp":1792795985115,"version":"4.5.0"},"reference-count":41,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 82071869"],"award-info":[{"award-number":["No. 82071869"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Joint Project of Health and Education of Fujian Province","award":["No. 2019-WJ-10"],"award-info":[{"award-number":["No. 2019-WJ-10"]}]},{"name":"the Funding Project of Medical Innovation of Fujian Province","award":["No. 2019-CX-23"],"award-info":[{"award-number":["No. 2019-CX-23"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The differentiation of supratentorial pilocytic astrocytomas (STPAs) and supratentorial extraventricular ependymomas (STEEs) is clinically pivotal because of distinct therapeutic management and prognosis, which is sometimes challenging to both neuroradiologists and pathologists.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To explore and compare the conventional and advanced magnetic resonance imaging (MRI) features between STPA and STEE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>\n                      A total of 23 patients with STPAs and 23 patients with STEEs were reviewed in this study. All patients performed conventional MRI, susceptibility-weighted imaging (SWI), and diffusion-weighted imaging (DWI), and 34 patients (17 with STPAs and 17 with STEEs) examined dynamic susceptibility contrast-enhanced perfusion-weighted imaging (DSC-PWI) in addition. Clinical data, conventional MRI features, minimum relative apparent diffusion coefficient ratio (rADC\n                      <jats:sub>min<\/jats:sub>\n                      ), and maximum relative cerebral blood volume ratio (rCBV\n                      <jats:sub>max<\/jats:sub>\n                      ) were compared between the two groups and subgroups. The optimal cutoff values of rADC\n                      <jats:sub>min<\/jats:sub>\n                      and rCBV\n                      <jats:sub>max<\/jats:sub>\n                      with sensitivity and specificity were calculated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      STPA manifested similar to STEE as a solid-cystic mass but more frequently presented with a marked enhancing deep nodule ( P\u2009=\u20090.02), no peritumoral edema ( P\u2009=\u20090.036), higher rADC\n                      <jats:sub>min<\/jats:sub>\n                      value (2.0\u2009\u00b1\u20090.5 vs. 0.9\u2009\u00b1\u20090.2; P\u2009&lt;\u20090.001), and lower rCBV\n                      <jats:sub>max<\/jats:sub>\n                      value (2.1\u2009\u00b1\u20090.4 vs. 14.4\u2009\u00b1\u20095.5; P &lt; 0.001). The cutoff value of &gt;1.39 for rADC\n                      <jats:sub>min<\/jats:sub>\n                      and\u2009\u2264\u20092.81 for rCBV\n                      <jats:sub>max<\/jats:sub>\n                      produced a high sensitivity of 95.65% and 100.0%, respectively, and all produced a specificity of 100.0% in differentiating STPAs from STEEs.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Multiparametric MRI techniques including conventional MRI, DWI, and DSC-PWI contribute to the differential diagnosis of STPA and STEE.<\/jats:p>\n                  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