{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T20:12:28Z","timestamp":1793650348632,"version":"4.5.1"},"reference-count":27,"publisher":"University of Tokushima Faculty of Medicine","issue":"3.4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Med. Invest."],"published-print":{"date-parts":[[2025]]},"DOI":"10.2152\/jmi.72.367","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T22:07:29Z","timestamp":1762207649000},"page":"367-374","source":"Crossref","is-referenced-by-count":2,"title":["The Diagnostic Ability of Texture Analysis in MR Imaging for Neurogenic Tumors"],"prefix":"10.2152","volume":"72","author":[{"given":"Tomoki","family":"Matsushita","sequence":"first","affiliation":[{"name":"Department of Radiology, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takayoshi","family":"Shinya","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshihiko","family":"Nishisho","sequence":"additional","affiliation":[{"name":"Department of Orthopedics, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koichi","family":"Sairyo","sequence":"additional","affiliation":[{"name":"Department of Orthopedics, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshimi","family":"Bando","sequence":"additional","affiliation":[{"name":"Division of Pathology, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hisanori","family":"Uehara","sequence":"additional","affiliation":[{"name":"Division of Pathology, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masafumi","family":"Harada","sequence":"additional","affiliation":[{"name":"Department of Radiology, Tokushima University Hospital, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"925","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"1. Yu YH, Wu JT, Ye J, Chen MX:Radiological findings of malignant peripheral nerve sheath tumor:reports of six cases and review of literature. World J Surg Oncol 14:142, 2016","DOI":"10.1186\/s12957-016-0899-0"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2. Debs P, Fayad LM, Ahlawat S:MR neurography of peripheral nerve tumors and tumor-mimics. Semin Roentgenol 57:232-240, 2022","DOI":"10.1053\/j.ro.2022.01.008"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3. Yun JS, Lee MH, Lee SM, Lee JS, Kim HJ, Lee SJ, Chung HW, Lee SH, Shin MJ:Peripheral nerve sheath tumor:differentiation of malignant from benign tumors with conventional and diffusion-weighted MRI. Eur Radiol 31:1548-1557, 2021","DOI":"10.1007\/s00330-020-07234-5"},{"key":"4","doi-asserted-by":"publisher","unstructured":"4. Berner EA, Hung YP, Nielsen GP, Lozano-Calder\u00f3n SA:Malignant peripheral nerve sheath tumors arising from schwannomas:case series and literature review. APMIS 129:524-532, 2021","DOI":"10.1111\/apm.13139"},{"key":"5","doi-asserted-by":"crossref","unstructured":"5. Wasa J, Nishida Y, Tsukushi S, Shido Y, Sugiura H, Nakashima H, Ishiguro N:MRI features in the differentiation of malignant peripheral nerve sheath tumors and neurofibromas. AJR Am J Roentgenol 194:1568-1574, 2010","DOI":"10.2214\/AJR.09.2724"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6. Pendleton C, Howe BM, Spinner RJ:Percutaneous image-guided biopsy in malignant peripheral nerve sheath tumors. Acta Neurochir (Wien) 163:515-519, 2021","DOI":"10.1007\/s00701-020-04556-7"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7. Xu K, Li Z, Li W, Qiu J, Li H, Li Y, Peng R:Dermatofibrosarcoma protuberans MRI:A preliminary comparison of different sequences. Curr Med Imaging 20:e15734056307179, 2024","DOI":"10.2174\/0115734056307179240723075825"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8. Moritani T, Kim J, Capizzano AA, Kirby P, Kademian J, Sato Y:Pyogenic and non-pyogenic spinal infections:emphasis on diffusion-weighted imaging for the detection of abscesses and pus collections. Br J Radiol 87:20140011, 2014","DOI":"10.1259\/bjr.20140011"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9. Scapicchio C, Gabelloni M, Barucci A, Cioni D, Saba L, Neri E:A deep look into radiomics. Radiol Med 126:1296-1311, 2021","DOI":"10.1007\/s11547-021-01389-x"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10. Ristow I, Madesta F, Well L, Shenas F, Wright F, Molwitz I, Farschtschi S, Bannas P, Adam G, Mautner VF, Werner R, Salamon J:Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1. Neuro Oncol 24:1790-1798, 2022","DOI":"10.1093\/neuonc\/noac100"},{"key":"11","unstructured":"12. Zwanenburg A, Leger S, Valli\u00e8res M, L\u00f6ck S:Image biomarker standardisation initiative. arXiv preprint, arXiv:1612.07003, 2016"},{"key":"12","doi-asserted-by":"crossref","unstructured":"13. Uchida Y, Yoshida S, Arita Y, Shimoda H, Kimura K, Yamada I, Tanaka H, Yokoyama M, Matsuoka Y, Jinzaki M, Fujii Y:Apparent diffusion coefficient map-based texture analysis for the differentiation of chromophobe renal cell carcinoma from renal oncocytoma. Diagnostics (Basel) 12:817, 2022","DOI":"10.3390\/diagnostics12040817"},{"key":"13","doi-asserted-by":"crossref","unstructured":"14. Yamada I, Oshima N, Miyasaka N, Wakana K, Wakabayashi A, Sakamoto J, Saida Y, Tateishi U, Kobayashi D:Texture analysis of apparent diffusion coefficient maps in cervical carcinoma:Correlation with histopathologic findings and prognosis. Radiol Imaging Cancer 2:e190085, 2020","DOI":"10.1148\/rycan.2020190085"},{"key":"14","doi-asserted-by":"crossref","unstructured":"15. Kanda Y:Investigation of the freely available easy-to-use software \u2018EZR\u2019 for medical statistics. Bone Marrow Transplant 48:452-458, 2013","DOI":"10.1038\/bmt.2012.244"},{"key":"15","doi-asserted-by":"crossref","unstructured":"16. DeLong ER, DeLong DM, Clarke-Pearson DL:Comparing the areas under two or more correlated receiver operating characteristic curves:a nonparametric approach. Biometrics 44:837-845, 1988","DOI":"10.2307\/2531595"},{"key":"16","doi-asserted-by":"crossref","unstructured":"17. Corrias G, Micheletti G, Barberini L, Suri JS, Saba L:Texture analysis imaging \u201cwhat a clinical radiologist needs to know\u201d. Eur J Radiol 146:110055, 2022","DOI":"10.1016\/j.ejrad.2021.110055"},{"key":"17","doi-asserted-by":"crossref","unstructured":"18. Kunimatsu A, Yasaka K, Akai H, Sugawara H, Kunimatsu N, Abe O:Texture analysis in brain tumor MR imaging. Magn Reson Med Sci 21:95-109, 2022","DOI":"10.2463\/mrms.rev.2020-0159"},{"key":"18","doi-asserted-by":"crossref","unstructured":"19. Kamiya A, Murayama S, Kamiya H, Yamashiro T, Oshiro Y, Tanaka N:Kurtosis and skewness assessments of solid lung nodule density histograms:differentiating malignant from benign nodules on CT. Jpn J Radiol 32:14-21, 2014","DOI":"10.1007\/s11604-013-0264-y"},{"key":"19","doi-asserted-by":"crossref","unstructured":"20. Magro G, Broggi G, Angelico G, Puzzo L, Vecchio GM, Virz\u00ec V, Salvatorelli L, Ruggieri M:Practical approach to histological diagnosis of peripheral nerve sheath tumors:An update. Diagnostics (Basel) 12:1463, 2022","DOI":"10.3390\/diagnostics12061463"},{"key":"20","doi-asserted-by":"crossref","unstructured":"21. Ozturk M, Polat AV, Selcuk MB:Whole-lesion ADC histogram analysis versus single-slice ADC measurement for the differentiation of benign and malignant soft tissue tumors. Eur J Radiol 143:109934, 2021","DOI":"10.1016\/j.ejrad.2021.109934"},{"key":"21","doi-asserted-by":"crossref","unstructured":"22. Zhang Z, Song C, Zhang Y, Wen B, Zhu J, Cheng J:Apparent diffusion coefficient (ADC) histogram analysis:differentiation of benign from malignant parotid gland tumors using readout-segmented diffusion-weighted imaging. Dentomaxillofac Radiol 48:20190100, 2019","DOI":"10.1259\/dmfr.20190100"},{"key":"22","doi-asserted-by":"crossref","unstructured":"23. Aghigh A, Cardot J, Mohammadi MS, Jargot G, Ibrahim H, Plante I, L\u00e9gar\u00e9 F:Accelerating whole-sample polarization-resolved second harmonic generation imaging in mammary gland tissue via generative adversarial networks. Biomed Opt Express 15:5251-5271, 2024","DOI":"10.1364\/BOE.529779"},{"key":"23","doi-asserted-by":"crossref","unstructured":"24. Qin JB, Liu Z, Zhang H, Shen C, Wang XC, Tan Y, Wang S, Wu XF, Tian J:Grading of gliomas by using radiomic features on multiple magnetic resonance imaging (MRI) sequences. Med Sci Monit 23:2168-2178, 2017","DOI":"10.12659\/MSM.901270"},{"key":"24","doi-asserted-by":"crossref","unstructured":"25. de la Luz Escobar M, De la Rosa JI, Galv\u00e1n-Tejada CE, Galvan-Tejada JI, Gamboa-Rosales H, de la Rosa Gomez D, Luna-Garc\u00eda H, Celaya-Padilla JM:Breast cancer detection using automated segmentation and genetic algorithms. Diagnostics (Basel) 12:3099, 2022","DOI":"10.3390\/diagnostics12123099"},{"key":"25","doi-asserted-by":"crossref","unstructured":"26. Shintaku M, Nakade M, Hirose T:Malignant peripheral nerve sheath tumor of small round cell type with pleomorphic spindle cell sarcomatous areas. Pathol Int 53:478-482, 2003","DOI":"10.1046\/j.1440-1827.2003.01492.x"},{"key":"26","unstructured":"27. Chilla GS, Tan CH, Xu C, Poh CL:Diffusion weighted magnetic resonance imaging and its recent trend-a survey. Quant Imaging Med Surg 5:407-422, 2015"},{"key":"27","doi-asserted-by":"crossref","unstructured":"11.Nioche C, Orlhac F, Boughdad S, Reuz\u00e9 S, Goya-Outi J, Robert C, Pellot-Barakat C, Soussan M, Frouin F, Buvat I:LIFEx:a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Research 78:4786-4789, 2018","DOI":"10.1158\/0008-5472.CAN-18-0125"}],"container-title":["The Journal of Medical Investigation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jmi\/72\/3.4\/72_367\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T04:56:59Z","timestamp":1768021019000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jmi\/72\/3.4\/72_367\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":27,"journal-issue":{"issue":"3.4","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.2152\/jmi.72.367","relation":{},"ISSN":["1343-1420","1349-6867"],"issn-type":[{"value":"1343-1420","type":"print"},{"value":"1349-6867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}