{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T15:42:55Z","timestamp":1788968575415,"version":"build-2803163510"},"reference-count":17,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T00:00:00Z","timestamp":1633996800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["R01 NS097719"],"award-info":[{"award-number":["R01 NS097719"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2020\/00019\u20107"],"award-info":[{"award-number":["2020\/00019\u20107"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Epilepsia Open"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To assess and validate the performance of a new tool developed for segmenting and characterizing lacunas in postoperative MR images of epilepsy patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A MATLAB\u2010based pipeline was implemented using SPM12 to produce the 3D mask of the surgical lacuna and estimate its volume. To validate its performance, we compared the manual and automatic lacuna segmentations obtained from 51 MRI scans of epilepsy patients who underwent temporal lobe resections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The code is consolidated as a tool named\n                      <jats:italic>ResectVol<\/jats:italic>\n                      , which can be run via a graphical user interface or command line. The automatic and manual segmentation comparison resulted in a median Dice similarity coefficient of 0.77 (interquartile range: 0.71\u20100.81).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>\n                      Epilepsy surgery is the treatment of choice for pharmacoresistant focal epilepsies, and despite the extensive literature on the subject, we still cannot predict surgical outcomes accurately. As the volume and location of the resected tissue are fundamentally relevant to this prediction, researchers commonly perform a manual segmentation of the lacuna, which presents human bias and does not provide detailed information about the structures removed. In this study, we introduce\n                      <jats:italic>ResectVol<\/jats:italic>\n                      , a user\u2010friendly, fully automatic tool to accomplish these tasks. This capability enables more advanced analytical techniques applied to surgical outcomes prediction, such as machine\u2010learning algorithms, by facilitating coregistration of the resected area and preoperative findings with other imaging modalities such as PET, SPECT, and functional MRI\n                      <jats:italic>ResectVol<\/jats:italic>\n                      is freely available at\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.lniunicamp.com\/resectvol\">https:\/\/www.lniunicamp.com\/resectvol<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/epi4.12546","type":"journal-article","created":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T16:41:04Z","timestamp":1633538464000},"page":"720-726","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["ResectVol: A tool to automatically segment and characterize lacunas in brain images"],"prefix":"10.1002","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0643-7110","authenticated-orcid":false,"given":"Raphael F.","family":"Casseb","sequence":"first","affiliation":[{"name":"Neuroimaging Laboratory Department of Neurology University of Campinas Campinas Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1261-8257","authenticated-orcid":false,"given":"Brunno M.","family":"de Campos","sequence":"additional","affiliation":[{"name":"Neuroimaging Laboratory Department of Neurology University of Campinas Campinas Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8531-3916","authenticated-orcid":false,"given":"Marcia","family":"Morita\u2010Sherman","sequence":"additional","affiliation":[{"name":"Epilepsy Center Cleveland Clinic Foundation Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2683-9755","authenticated-orcid":false,"given":"Amr","family":"Morsi","sequence":"additional","affiliation":[{"name":"Epilepsy Center Cleveland Clinic Foundation Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6081-4503","authenticated-orcid":false,"given":"Efstathios","family":"Kondylis","sequence":"additional","affiliation":[{"name":"Epilepsy Center Cleveland Clinic Foundation Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William E.","family":"Bingaman","sequence":"additional","affiliation":[{"name":"Epilepsy Center Cleveland Clinic Foundation Cleveland Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen E.","family":"Jones","sequence":"additional","affiliation":[{"name":"Epilepsy Center Cleveland Clinic Foundation Cleveland Ohio 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