2016syourei_houkoku.pdf. Available from: http://www.jshnc.umin.ne.jp/pdf/2016syourei_houkoku.pdf

Tocaciu S, Breik O, Lim B, Angel C, Rutherford N. Diagnostic dilemma between medication-related osteonecrosis and oral squamous cell carcinoma in a mandibular lytic lesion. Br J Oral Maxillofac Surg. 2017;55:e53–7.

Article  PubMed  Google Scholar 

Li Q, Cui H, Dong J, He Y, Zhou D, Zhang P, et al. Squamous cell carcinoma resulting from chronic osteomyelitis: a retrospective study of 8 cases. Int J Clin Exp Pathol. 2015;8:10178–84.

PubMed  PubMed Central  Google Scholar 

Alami M, Mahfoud M, El Bardouni A, Berrada MS, El Yaacoubi M. Squamous cell carcinoma arising from chronic osteomyelitis. Acta Orthop Traumatol Turc. 2011;45:144–8.

Article  PubMed  Google Scholar 

Caruso G, Gerace E, Lorusso V, Cultrera R, Moretti L, Massari L. Squamous cell carcinoma in chronic osteomyelitis: a case report and review of the literature. J Med Case Reports. 2016;10:215.

Article  Google Scholar 

Saglik Y, Arikan M, Altay M, Yildiz Y. Squamous cell carcinoma arising in chronic osteomyelitis. Int Orthop. 2001;25:389–91.

Article  PubMed  PubMed Central  Google Scholar 

Moura DL, Ferreira R, Garruço A. Malignant transformation in chronic osteomyelitis. Rev Bras Ortop. 2017;52:141–7.

Article  PubMed  PubMed Central  Google Scholar 

Stockmann P, Hinkmann FM, Lell MM, Fenner M, Vairaktaris E, Neukam F-W, et al. Panoramic radiograph, computed tomography or magnetic resonance imaging. Which imaging technique should be preferred in bisphosphonate-associated osteonecrosis of the jaw? A prospective clinical study. Clin Oral Investig. 2010;14:311–7.

Article  PubMed  Google Scholar 

Guggenberger R, Fischer DR, Metzler P, Andreisek G, Nanz D, Jacobsen C, et al. Bisphosphonate-induced osteonecrosis of the jaw: comparison of disease extent on contrast-enhanced MR imaging, [18F] fluoride PET/CT, and Conebeam CT imaging. AJNR Am J Neuroradiol. 2013;34:1242–7.

Article  PubMed  PubMed Central  Google Scholar 

Kaneda T, Minami M, Ozawa K, Akimoto Y, Utsunomiya T, Yamamoto H, et al. Magnetic resonance imaging of osteomyelitis in the mandible. Comparative study with other radiologic modalities. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 1995;79:634–40.

Article  PubMed  Google Scholar 

Ariji Y, Izumi M, Gotoh M, Naitoh M, Katoh M, Kuroiwa Y, et al. MRI features of mandibular osteomyelitis: practical criteria based on an association with conventional radiography features and clinical classification. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2008;105:503–11.

Article  PubMed  Google Scholar 

Baba A, Ojiri H, Goto TK, Ikeda K, Yamauchi H, Ogino N, et al. Symposium: imaging modalities for drug-related osteonecrosis of the jaw (4), CT and MR imaging findings of antiresorptive agent-related osteonecrosis of the jaws/medication-related osteonecrosis of the jaw (secondary publication). Jpn Dent Sci Rev. 2019;55:58–64.

Article  PubMed  PubMed Central  Google Scholar 

Mosquera-Lopez C, Agaian S, Velez-Hoyos A, Thompson I. Computer-aided prostate cancer diagnosis from digitized histopathology: a review on texture-based systems. IEEE Rev Biomed Eng. 2015;8:98–113.

Article  PubMed  Google Scholar 

Gao J, Jiang Q, Zhou B, Chen D. Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: an overview. Math Biosci Eng MBE. 2019;16:6536–61.

Article  PubMed  Google Scholar 

Gentillon H, Stefańczyk L, Strzelecki M, Respondek-Liberska M. Parameter set for computer-assisted texture analysis of fetal brain. BMC Res Notes. 2016;9:496.

Article  PubMed  PubMed Central  Google Scholar 

Lazli L, Boukadoum M, Ait MO. Computer-aided diagnosis system of Alzheimer’s disease based on multimodal fusion: tissue quantification based on the hybrid fuzzy-genetic-possibilistic model and discriminative classification based on the SVDD model. Brain Sci. 2019;9:289.

Article  PubMed  PubMed Central  Google Scholar 

Liu R, Li H, Liang F, Yao L, Liu J, Li M, et al. Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: a systematic review and meta-analysis protocol. Medicine (Baltimore). 2019;98: e16227.

Article  PubMed  Google Scholar 

Ramkumar S, Ranjbar S, Ning S, Lal D, Zwart CM, Wood CP, et al. MRI-based texture analysis to differentiate sinonasal squamous cell carcinoma from inverted papilloma. AJNR Am J Neuroradiol. 2017;38:1019–25.

Article  PubMed  PubMed Central  Google Scholar 

Dang M, Lysack JT, Wu T, Matthews TW, Chandarana SP, Brockton NT, et al. MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma. AJNR Am J Neuroradiol. 2015;36:166–70.

Article  PubMed  PubMed Central  Google Scholar 

Soni N, Priya S, Bathla G. Texture analysis in cerebral gliomas: a review of the literature. AJNR Am J Neuroradiol. 2019;40:928–34.

Article  PubMed  PubMed Central  Google Scholar 

Ye R, Weng S, Li Y, Yan C, Chen J, Zhu Y, et al. Texture analysis of three-dimensional MRI images may differentiate borderline and malignant epithelial ovarian tumors. Korean J Radiol. 2021;22:106–17.

Article  PubMed  Google Scholar 

Cai J-H, He Y, Zhong X-L, Lei H, Wang F, Luo G-H, et al. Magnetic resonance texture analysis in Alzheimer’s disease. Acad Radiol. 2020;27:1774–83.

Article  PubMed  Google Scholar 

Strzelecki M, Szczypinski P, Materka A, Klepaczko A. A software tool for automatic classification and segmentation of 2D/3D medical images. Nucl Instrum Methods Phys Res A. 2013;702:137–40.

Article  Google Scholar 

Szczypiński PM, Strzelecki M, Materka A, Klepaczko A. MaZda–a software package for image texture analysis. Comput Methods Programs Biomed. 2009;94:66–76.

Article  PubMed  Google Scholar 

Ruggiero SL, Dodson TB, Fantasia J, Goodday R, Aghaloo T, Mehrotra B, et al. American Association of Oral and Maxillofacial Surgeons position paper on medication-related osteonecrosis of the jaw–2014 update. J Oral Maxillofac Surg Off J Am Assoc Oral Maxillofac Surg. 2014;72:1938–56.

Article  Google Scholar 

Ruggiero SL. Guidelines for the diagnosis of bisphosphonate-related osteonecrosis of the jaw (BRONJ). Clin Cases Miner Bone Metab Off J Ital Soc Osteoporos Miner Metab Skelet Dis. 2007;4:37–42.

Google Scholar 

Ito K, Muraoka H, Hirahara N, Sawada E, Hirohata S, Otsuka K, et al. Quantitative assessment of mandibular bone marrow using computed tomography texture analysis for detect stage 0 medication-related osteonecrosis of the jaw. Eur J Radiol. 2021;145: 110030.

Article  PubMed  Google Scholar 

Lemeshow S, Sturdivant RX Jr, DWH. Applied logistic regression. 3rd ed. Hoboken: Wiley; 2013.

Google Scholar 

Fatterpekar GM, Emmrich JV, Eloy JA, Aggarwal A. Bone-within-bone appearance: a red flag for biphosphonate-associated osteonecrosis of the jaw. J Comput Assist Tomogr. 2011;35:553–6.

Article  PubMed  Google Scholar