{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T14:57:36Z","timestamp":1770908256405,"version":"3.50.1"},"reference-count":35,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The peritumoral vasogenic edema (PVE) in brain tumors exhibits varied characteristics. Brain metastasis (BM) and meningioma barely have tumor cells in PVE, while glioblastoma (GB) show tumor cell infiltration in most subjects. The purpose of this study was to investigate the PVE of these three pathologies using radiomics features in FLAIR images, with the hypothesis that the tumor cells might influence textural variation. Ex vivo experimentation of radiomics analysis of T1\u2010weighted images of the culture medium with and without suspended tumor cells was also attempted to infer the possible influence of increasing tumor cells on radiomics features. This retrospective study involved magnetic resonance (MR) images acquired using a 3.0\u2010T MR machine from 83 patients with 48\u2009GB, 21 BM, and 14 meningioma. The 93 radiomics features were extracted from each subject's PVE mask from three pathologies using T1\u2010dynamic contrast\u2010enhanced MR imaging. Statistically significant (&lt; 0.05, independent samples T\u2010test) features were considered. Features maps were also computed for qualitative investigation. The same was carried out for T1\u2010weighted cell line images but group comparison was carried out using one\u2010way analysis of variance. Further, a random forest (RF)\u2010based machine learning model was designed to classify the PVE of GB and BM. Texture\u2010based variations, especially higher nonuniformity values, were observed in the PVE of GB. No significance was observed between BM and meningioma PVE. In cell line images, the culture medium had higher nonuniformity and was considerably reduced with increasing cell densities in four features. The RF model implemented with highly significant features provided improved area under the curve results. The possible infiltrative tumor cells in the PVE of the GB are likely influencing the texture values and are higher in comparison with BM PVE and may be of value in the differentiation of solitary metastasis from GB. However, the robustness of the features needs to be investigated with a larger cohort and across different scanners in the future.<\/jats:p>","DOI":"10.1002\/nbm.4884","type":"journal-article","created":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T10:22:14Z","timestamp":1669890134000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Quantification of Radiomics features of Peritumoral Vasogenic Edema extracted from fluid\u2010attenuated inversion recovery images in glioblastoma and isolated brain metastasis, using T1\u2010dynamic contrast\u2010enhanced Perfusion analysis"],"prefix":"10.1002","volume":"36","author":[{"given":"P. Suhail","family":"Parvaze","sequence":"first","affiliation":[{"name":"Philips Innovation Campus  Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rupsa","family":"Bhattacharjee","sequence":"additional","affiliation":[{"name":"Department of Radiology &amp; Biomedical Imaging University of California  San Francisco California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yogesh Kumar","family":"Verma","sequence":"additional","affiliation":[{"name":"Stem Cell &amp; Gene Therapy Research Group Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO  Delhi India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakesh Kumar","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging, Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Virendra","family":"Yadav","sequence":"additional","affiliation":[{"name":"Medical Image and Signal Processing Lab, CBME Indian Institute of Technology  Delhi India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6744-8326","authenticated-orcid":false,"given":"Anup","family":"Singh","sequence":"additional","affiliation":[{"name":"Medical Image and Signal Processing Lab, CBME Indian Institute of Technology  Delhi India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaurav","family":"Khanna","sequence":"additional","affiliation":[{"name":"SRL Diagnostics Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunita","family":"Ahlawat","sequence":"additional","affiliation":[{"name":"SRL Diagnostics Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5204-2622","authenticated-orcid":false,"given":"Richa","family":"Trivedi","sequence":"additional","affiliation":[{"name":"NMR Research Centre Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO  Delhi India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rana","family":"Patir","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandeep","family":"Vaishya","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tejas J.","family":"Shah","sequence":"additional","affiliation":[{"name":"Philips Innovation Campus  Bangalore India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakesh K.","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging, Fortis Memorial Research Institute  Gurugram India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2013.280319"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330\u2010018\u20105359\u20105"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978\u20100\u2010443\u201006967\u20103.00021\u20101"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmr.2016.08.005"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.semcancer.2019.10.010"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s003300000814"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A6025"},{"key":"e_1_2_6_9_1","first-page":"1969","article-title":"Improved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image\u2010guided biopsy study","volume":"27","author":"Price SJ","year":"2006","journal-title":"Am J Neuroradiol"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21878"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A0484"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2018.07.018"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.2174\/1573405617666210316120314"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.00806"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00701\u2010016\u20103062\u20103"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2016.05.004"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21080"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109049"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2017.08.003"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460030303"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460020402"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008\u20105472.CAN\u201017\u20100339"},{"key":"e_1_2_6_23_1","volume-title":"Comparison of 2D\u2010 and 3D\u2010generated radiomics feature maps in glioblastoma tissue subtypes segmented from DCE perfusion MRI","author":"Suhail Parvaze P","year":"2022"},{"key":"e_1_2_6_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2069690"},{"key":"e_1_2_6_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2607(95)01703-8"},{"key":"e_1_2_6_26_1","doi-asserted-by":"publisher","DOI":"10.1177\/0163278709338554"},{"key":"e_1_2_6_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010017\u201018310\u20100"},{"key":"e_1_2_6_28_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"e_1_2_6_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00234\u2010014\u20101426\u2010z"},{"key":"e_1_2_6_30_1","doi-asserted-by":"publisher","DOI":"10.3389\/fradi.2021.735567"},{"key":"e_1_2_6_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27529"},{"key":"e_1_2_6_32_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13040761"},{"key":"e_1_2_6_33_1","doi-asserted-by":"publisher","DOI":"10.1177\/0885066615619618"},{"key":"e_1_2_6_34_1","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/now135"},{"key":"e_1_2_6_35_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12885\u2010020\u20106523\u20102"},{"key":"e_1_2_6_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.04.009"}],"container-title":["NMR in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/nbm.4884","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/nbm.4884","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/nbm.4884","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T14:31:44Z","timestamp":1760970704000},"score":1,"resource":{"primary":{"URL":"https:\/\/analyticalsciencejournals.onlinelibrary.wiley.com\/doi\/10.1002\/nbm.4884"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["10.1002\/nbm.4884"],"URL":"https:\/\/doi.org\/10.1002\/nbm.4884","archive":["Portico"],"relation":{},"ISSN":["0952-3480","1099-1492"],"issn-type":[{"value":"0952-3480","type":"print"},{"value":"1099-1492","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,23]]},"assertion":[{"value":"2022-06-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-11-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e4884"}}