{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:29:26Z","timestamp":1750220966611,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,24]],"date-time":"2019-08-24T00:00:00Z","timestamp":1566604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,24]]},"DOI":"10.1145\/3364836.3364878","type":"proceedings-article","created":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T13:04:52Z","timestamp":1577106292000},"page":"214-217","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Prognosis Prediction of GBM Based on High-risk Subregion and Multi-parametric MR Imaging"],"prefix":"10.1145","author":[{"given":"Di","family":"Lu","sequence":"first","affiliation":[{"name":"School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi, PR China and Xi'an Key Laboratory of Radiomics and Intelligent Perception, Shaanxi, PR China"}]},{"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China"}]},{"given":"Xiaopan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China"}]},{"given":"Xiaowei","family":"He","sequence":"additional","affiliation":[{"name":"School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi, PR China and Xi'an Key Laboratory of Radiomics and Intelligent Perception, Shaanxi, PR China"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, PR China"}]}],"member":"320","published-online":{"date-parts":[[2019,8,24]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1","volume":"201","author":"Ostrom QT","unstructured":"Ostrom QT , Gittleman H , Stetson L , Epidemiology of gliomas. Cancer Treat Res. 201 5; 163: 1 -- 14 . Ostrom QT, Gittleman H, Stetson L, et al. Epidemiology of gliomas. Cancer Treat Res. 2015; 163:1--14.","journal-title":"Epidemiology of gliomas. Cancer Treat Res."},{"key":"e_1_3_2_1_2_1","volume-title":"Chinese Molecular Diagnosis and Treatment Guidelines for Glioma","author":"Chinese","year":"2014","unstructured":"Chinese glioma collaborative group. Chinese Molecular Diagnosis and Treatment Guidelines for Glioma ( 2014 ). Chinese Journal of Neurosurgery . 2014; 30(5). Chinese glioma collaborative group. Chinese Molecular Diagnosis and Treatment Guidelines for Glioma (2014). Chinese Journal of Neurosurgery. 2014; 30(5)."},{"key":"e_1_3_2_1_3_1","first-page":"166","volume":"201","author":"Van Meir EG","unstructured":"Van Meir EG , Hadjipanayis CG , Norden AD , Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma. CA Cancer J Clin. 201 0; 60(3): 166 -- 193 . Van Meir EG, Hadjipanayis CG, Norden AD, et al. Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma. CA Cancer J Clin. 2010; 60(3):166--93.","journal-title":"CA Cancer J Clin."},{"key":"e_1_3_2_1_4_1","first-page":"670","volume":"201","author":"Smoll NR","unstructured":"Smoll NR , Schaller K , and Gautschi OP. Long -term survival of patients with glioblastoma multiforme (GBM). J Clin Neurosci. 201 3; 20(5): 670 -- 675 . Smoll NR, Schaller K, and Gautschi OP. Long-term survival of patients with glioblastoma multiforme (GBM). J Clin Neurosci. 2013; 20(5):670--5.","journal-title":"J Clin Neurosci."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Itakura H Achrol AS Mitchell LA etal Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities. Sci Transl Med. 2015; 7(303):303ra138.  Itakura H Achrol AS Mitchell LA et al. Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities. Sci Transl Med. 2015; 7(303):303ra138.","DOI":"10.1126\/scitranslmed.aaa7582"},{"key":"e_1_3_2_1_6_1","volume":"2018","author":"Liu Y","unstructured":"Liu Y , Zhang X , Feng N , The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis. Acta Radiol. 2018 : 284185118756951. Liu Y, Zhang X, Feng N, et al. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis. Acta Radiol. 2018: 284185118756951.","journal-title":"Acta Radiol."},{"key":"e_1_3_2_1_7_1","first-page":"4009","volume":"201","author":"Sottoriva A","unstructured":"Sottoriva A , Spiteri I , Piccirillo SG , Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics. Proc Natl Acad Sci U S A. 201 3; 110(10): 4009 -- 4014 . Sottoriva A, Spiteri I, Piccirillo SG, et al. Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics. Proc Natl Acad Sci U S A. 2013; 110(10):4009--14.","journal-title":"Proc Natl Acad Sci U S A."},{"key":"e_1_3_2_1_8_1","first-page":"355","volume":"201","author":"Bedard PL","unstructured":"Bedard PL , Hansen AR , Ratain MJ , Tumour heterogeneity in the clinic. Nature. 201 3; 501(7467): 355 -- 364 . Bedard PL, Hansen AR, Ratain MJ, et al. Tumour heterogeneity in the clinic. Nature. 2013; 501(7467):355--64.","journal-title":"Tumour heterogeneity in the clinic. Nature."},{"key":"e_1_3_2_1_9_1","first-page":"120","volume":"201","author":"Li WB","unstructured":"Li WB , Tang K , Chen Q , MRI manifestions correlate with survival of glioblastoma multiforme patients. Cancer Biol Med. 201 2; 9(2): 120 -- 123 . Li WB, Tang K, Chen Q, et al. MRI manifestions correlate with survival of glioblastoma multiforme patients. Cancer Biol Med. 2012; 9(2):120--3.","journal-title":"Cancer Biol Med."},{"key":"e_1_3_2_1_10_1","first-page":"207","volume":"201","author":"Zhang Z","unstructured":"Zhang Z , Jiang H , Chen X , Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRI. J Neurooncol. 201 4; 119(1): 207 -- 214 . Zhang Z, Jiang H, Chen X, et al. Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRI. J Neurooncol. 2014; 119(1):207--14.","journal-title":"J Neurooncol."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Iliadis G Kotoula V Chatzisotiriou A etal Volumetric and MGMT parameters in glioblastoma patients: survival analysis. BMC Cancer. 2012; 12:3.  Iliadis G Kotoula V Chatzisotiriou A et al. Volumetric and MGMT parameters in glioblastoma patients: survival analysis. BMC Cancer. 2012; 12:3.","DOI":"10.1186\/1471-2407-12-3"},{"key":"e_1_3_2_1_12_1","first-page":"1695","volume":"201","author":"Liu Y","unstructured":"Liu Y , Xu X , Yin L , Relationship between Glioblastoma Heterogeneity and Survival Time: An MR Imaging Texture Analysis. AJNR Am J Neuroradiol. 201 7; 38(9): 1695 -- 1701 . Liu Y, Xu X, Yin L, et al. Relationship between Glioblastoma Heterogeneity and Survival Time: An MR Imaging Texture Analysis. AJNR Am J Neuroradiol. 2017; 38(9):1695--1701.","journal-title":"AJNR Am J Neuroradiol."},{"key":"e_1_3_2_1_13_1","first-page":"3583","volume":"201","author":"Cui Y","unstructured":"Cui Y , Ren S , Tha K K , Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma[J]. European Radiology , 201 7; 27(9): 3583 -- 3592 . Cui Y, Ren S, Tha K K, et al. Volume of high-risk intratumoral subregions at multi-parametric MR imaging predicts overall survival and complements molecular analysis of glioblastoma[J]. European Radiology, 2017; 27(9):3583--3592.","journal-title":"European Radiology"},{"key":"e_1_3_2_1_14_1","first-page":"546","volume":"201","author":"Cui Y","unstructured":"Cui Y , Tha KK , Terasaka S , Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images. Radiology. 201 5; 278(2): 546 -- 553 . Cui Y, Tha KK, Terasaka S, et al. Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images. Radiology. 2015; 278(2): 546--553.","journal-title":"Radiology."},{"key":"e_1_3_2_1_15_1","first-page":"5471","volume":"201","author":"Valli\u00e8res M","unstructured":"Valli\u00e8res M , Freeman CR , Skamene SR , A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Physics in Medicine and Biology. 201 5; 60(14): 5471 -- 5496 . DOI=10.1088\/0031-9155\/60\/14\/5471. Valli\u00e8res M, Freeman CR, Skamene SR, et al. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Physics in Medicine and Biology. 2015; 60(14): 5471--5496. DOI=10.1088\/0031-9155\/60\/14\/5471.","journal-title":"Physics in Medicine and Biology."},{"key":"e_1_3_2_1_16_1","first-page":"8","volume":"201","author":"Gatenby RA","unstructured":"Gatenby RA , Grove O , and Gillies RJ. Quantitative imaging in cancer evolution and ecology. Radiology. 201 3; 269(1): 8 -- 15 . Gatenby RA, Grove O, and Gillies RJ. Quantitative imaging in cancer evolution and ecology. Radiology. 2013; 269(1):8--15.","journal-title":"Radiology."},{"key":"e_1_3_2_1_17_1","first-page":"563","volume":"201","author":"Gillies RJ","unstructured":"Gillies RJ , Kinahan PE , and Hricak H. Radiomics : Images Are More than Pictures , They Are Data. Radiology. 201 6; 278(2): 563 -- 577 . Gillies RJ, Kinahan PE, and Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016; 278(2):563--77.","journal-title":"They Are Data. Radiology."}],"event":{"name":"ISICDM 2019: The Third International Symposium on Image Computing and Digital Medicine","sponsor":["Xidian University"],"location":"Xi'an China","acronym":"ISICDM 2019"},"container-title":["Proceedings of the Third International Symposium on Image Computing and Digital Medicine"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3364836.3364878","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3364836.3364878","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:54:23Z","timestamp":1750204463000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3364836.3364878"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,24]]},"references-count":17,"alternative-id":["10.1145\/3364836.3364878","10.1145\/3364836"],"URL":"https:\/\/doi.org\/10.1145\/3364836.3364878","relation":{},"subject":[],"published":{"date-parts":[[2019,8,24]]},"assertion":[{"value":"2019-08-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}