{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T19:41:34Z","timestamp":1781120494526,"version":"3.54.1"},"reference-count":40,"publisher":"Journal of Neurosurgery Publishing Group (JNSPG)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6]]},"abstract":"\n OBJECTIVE<\/jats:title>\n There is a need for advanced imaging biomarkers to improve radiation treatment planning and response assessment. T1-weighted dynamic contrast-enhanced perfusion MRI (DCE MRI) allows quantitative assessment of tissue perfusion and blood-brain barrier dysfunction and has entered clinical practice in the management of primary and secondary brain neoplasms. The authors sought to retrospectively investigate DCE MRI parameters in meningiomas treated with resection and adjuvant radiation therapy using volumetric segmentation.<\/jats:p>\n <\/jats:sec>\n \n METHODS<\/jats:title>\n \n A retrospective review of more than 300 patients with meningiomas resected between January 2015 and December 2018 identified 14 eligible patients with 18 meningiomas who underwent resection and adjuvant radiotherapy. Patients were excluded if they did not undergo adjuvant radiation therapy or DCE MRI. Demographic and clinical characteristics were obtained and compared to DCE perfusion metrics, including mean plasma volume (\n v<\/jats:italic>\n \n p<\/jats:italic>\n <\/jats:sub>\n ), extracellular volume (\n v<\/jats:italic>\n \n e<\/jats:italic>\n <\/jats:sub>\n ), volume transfer constant (\n K<\/jats:italic>\n \n trans<\/jats:italic>\n <\/jats:sup>\n ), rate constant (\n k<\/jats:italic>\n \n ep<\/jats:italic>\n <\/jats:sub>\n ), and wash-in rate of contrast into the tissue, which were derived from volumetric analysis of the enhancing volumes of interest.\n <\/jats:p>\n <\/jats:sec>\n \n RESULTS<\/jats:title>\n \n The mean patient age was 64 years (range 49\u201386 years), and 50% of patients (7\/14) were female. The average tumor volume was 8.07 cm\n 3<\/jats:sup>\n (range 0.21\u201327.89 cm\n 3<\/jats:sup>\n ). The median Ki-67 in the cohort was 15%. When stratified by median Ki-67, patients with Ki-67 greater than 15% had lower median\n v<\/jats:italic>\n \n p<\/jats:italic>\n <\/jats:sub>\n (0.02 vs 0.10, p = 0.002), and lower median wash-in rate (1.27 vs 4.08 sec\n \u22121<\/jats:sup>\n , p = 0.04) than patients with Ki-67 of 15% or below. Logistic regression analysis demonstrated a statistically significant, moderate positive correlation between\n v<\/jats:italic>\n \n e<\/jats:italic>\n <\/jats:sub>\n and time to progression (r = 0.49, p < 0.05). Furthermore, there was a moderate positive correlation between\n K<\/jats:italic>\n \n trans<\/jats:italic>\n <\/jats:sup>\n and time to progression, which approached, but did not reach, statistical significance (r = 0.48, p = 0.05).\n <\/jats:p>\n <\/jats:sec>\n \n CONCLUSIONS<\/jats:title>\n This study demonstrates a potential role for DCE MRI in the preoperative characterization and stratification of meningiomas, laying the foundation for future prospective studies incorporating DCE as a biomarker in meningioma diagnosis and treatment planning.<\/jats:p>\n <\/jats:sec>","DOI":"10.3171\/2019.3.focus1954","type":"journal-article","created":{"date-parts":[[2019,6,7]],"date-time":"2019-06-07T19:08:55Z","timestamp":1559934535000},"page":"E10","source":"Crossref","is-referenced-by-count":17,"title":["Dynamic contrast-enhanced magnetic resonance imaging perfusion characteristics in meningiomas treated with resection and adjuvant radiosurgery"],"prefix":"10.3171","volume":"46","author":[{"given":"Swathi","family":"Chidambaram","sequence":"first","affiliation":[{"name":"Departments of Neurological Surgery;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan C.","family":"Pannullo","sequence":"additional","affiliation":[{"name":"Departments of Neurological Surgery;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Roytman","sequence":"additional","affiliation":[{"name":"Radiology, Division of Neuroradiology, Division of Molecular Imaging and Therapeutics; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J.","family":"Pisapia","sequence":"additional","affiliation":[{"name":"Pathology and Laboratory Medicine; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Liechty","sequence":"additional","affiliation":[{"name":"Pathology and Laboratory Medicine; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajiv S.","family":"Magge","sequence":"additional","affiliation":[{"name":"Weill Cornell Medicine, Cornell University, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rohan","family":"Ramakrishna","sequence":"additional","affiliation":[{"name":"Departments of Neurological Surgery;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philip E.","family":"Stieg","sequence":"additional","affiliation":[{"name":"Departments of Neurological Surgery;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theodore H.","family":"Schwartz","sequence":"additional","affiliation":[{"name":"Departments of Neurological Surgery;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"Ivanidze","sequence":"additional","affiliation":[{"name":"Radiology, Division of Neuroradiology, Division of Molecular Imaging and Therapeutics; and"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1754","reference":[{"key":"b1","series-title":"PLoS One","doi-asserted-by":"publisher","first-page":"e0161807","DOI":"10.1371\/journal.pone.0161807","article-title":"Comparison of cerebral blood volume and plasma volume in untreated intracranial tumors","volume":"11","author":"Bazyar S","year":"2016","unstructured":"Bazyar S, Ramalho J, Eldeniz C, An H, Lee YZ: Comparison of cerebral blood volume and plasma volume in untreated intracranial tumors. 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