{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:40:35Z","timestamp":1747190435605,"version":"3.40.5"},"reference-count":19,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,8,2]],"date-time":"2021-08-02T00:00:00Z","timestamp":1627862400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,8,2]]},"abstract":"<jats:p>The study aimed to analyze the application of diffusion tensor imaging (DTI) in the surgery of benign and malignant intracranial tumors through improved fuzzy C-means (FCM). First, a method of combining the maximum and minimum distances was proposed to improve the FCM algorithm. Then, the optimized FCM was applied to the diffusion tensor imaging (DTI) diagnosis. The patients were rolled into the benign tumor group and the malignant tumor group, and relevant parameters were compared. Finally, the postoperative total resection rate and disability rate of the DTI experimental group and the traditional control (Ctrl) group were evaluated. It was found that the segmentation accuracy of the optimized FCM algorithm was higher than traditional one and the obtained corpus callosum edge contour was clearer. In 63 patients with intracranial space, there were obvious differences in pairwise comparison of meningioma and glioma, metastatic tumor\u2019s apparent diffusion coefficient (ADC) value, relative apparent diffusion coefficient (r ADC) value, and relative anisotropy fraction (r FA) <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mfenced open=\"(\" close=\")\" separators=\"|\">\n                           <a:mrow>\n                              <a:mi>P<\/a:mi>\n                              <a:mo>&lt;<\/a:mo>\n                              <a:mn>0.05<\/a:mn>\n                           <\/a:mrow>\n                        <\/a:mfenced>\n                     <\/a:math>\n                  <\/jats:inline-formula>. In terms of the ADC, r ADC, and r FA values of tumor parenchymal area, those of benign tumors were larger than malignant tumors <jats:inline-formula>\n                     <f:math xmlns:f=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <f:mfenced open=\"(\" close=\")\" separators=\"|\">\n                           <f:mrow>\n                              <f:mi>P<\/f:mi>\n                              <f:mo>&lt;<\/f:mo>\n                              <f:mn>0.05<\/f:mn>\n                           <\/f:mrow>\n                        <\/f:mfenced>\n                     <\/f:math>\n                  <\/jats:inline-formula>. The ADC value (8.21\u2009\u00b1\u20091.87) and r FA value (1.36\u2009\u00b1\u20090.41) of the contralateral normal white matter area of malignant tumor were greater than the ADC value (7.23\u2009\u00b1\u20092.31) and r FA value (0.61\u2009\u00b1\u20090.24) of the peritumor white matter area, with statistically significant differences <jats:inline-formula>\n                     <k:math xmlns:k=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\">\n                        <k:mfenced open=\"(\" close=\")\" separators=\"|\">\n                           <k:mrow>\n                              <k:mi>P<\/k:mi>\n                              <k:mo>&lt;<\/k:mo>\n                              <k:mn>0.05<\/k:mn>\n                           <\/k:mrow>\n                        <\/k:mfenced>\n                     <\/k:math>\n                  <\/jats:inline-formula>. The total cut rates of the experimental group and the Ctrl were 87.5% and 54.84%, and the disability rates were 6.25% and 34.38%. In conclusion, the optimized FCM has high accuracy. The ADC, r ADC, and r FA values of DTI are important in the diagnosis of intracranial tumors. Besides, DTI can improve the survival rate in guiding intracranial tumor resection.<\/jats:p>","DOI":"10.1155\/2021\/3215087","type":"journal-article","created":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T00:02:37Z","timestamp":1627948957000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Adoption of Diffusion Tensor Imaging under Optimized Fuzzy C-Means Cluster Algorithm in Intracerebral Benign and Malignant Tumor Resection"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7596-3782","authenticated-orcid":true,"given":"Yasong","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, The First People\u2019s Hospital of Ningyang County, Ningyang 271400, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1644-0708","authenticated-orcid":true,"given":"Wentao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Heze Hospital of Traditional Chinese Medicine, Heze 274000, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1177\/1098612x18801032"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.4314\/ahs.v18i2.12"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.carj.2017.10.006"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1111\/vco.12056"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2016.09.021"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2017.11.1134"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2018.2884208"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2018.2830977"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsr.2019.09.021"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-015-1791-x"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.3390\/s18061898"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-018-9831-2"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2005.10.001"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.101910"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A6162"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0146693"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2018.07.230"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2019.08.168"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0149-9"}],"container-title":["Scientific Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3215087.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3215087.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3215087.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,3]],"date-time":"2021-08-03T00:02:40Z","timestamp":1627948960000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/sp\/2021\/3215087\/"}},"subtitle":[],"editor":[{"given":"Gustavo","family":"Ramirez","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,8,2]]},"references-count":19,"alternative-id":["3215087","3215087"],"URL":"https:\/\/doi.org\/10.1155\/2021\/3215087","relation":{},"ISSN":["1875-919X","1058-9244"],"issn-type":[{"type":"electronic","value":"1875-919X"},{"type":"print","value":"1058-9244"}],"subject":[],"published":{"date-parts":[[2021,8,2]]}}}