Skip to main content
Erschienen in: Oral Radiology 2/2024

07.12.2023 | Original Article

Texture analysis using short-tau inversion recovery magnetic resonance images to differentiate squamous cell carcinoma of the gingiva from medication-related osteonecrosis of the jaw

verfasst von: Kotaro Ito, Naohisa Hirahara, Hirotaka Muraoka, Eri Sawada, Satoshi Tokunaga, Takashi Kaneda

Erschienen in: Oral Radiology | Ausgabe 2/2024

Einloggen, um Zugang zu erhalten

Abstract

Objectives

Despite the difficulty in distinguishing between squamous cell carcinoma (SCC) and medication-related osteonecrosis of the jaw (MRONJ) on the basis of medical imaging examinations, the two conditions have completely different treatment methods and prognoses. Therefore, differentiation of SCC from MRONJ on imaging examinations is very important. This study aimed to distinguish SCC from MRONJ by performing texture analysis using magnetic resonance imaging (MRI) short-tau inversion recovery images.

Methods

This retrospective case–control study included 14 patients with SCC of the lower gingiva and 35 with MRONJ of the mandible who underwent MRI and computed tomography (CT) for suspected SCC or MRONJ. SCC was identified by histopathological examination of tissues excised during surgery. The radiomics features of SCC and MRONJ were analyzed using the open-access software MaZda version 3.3 (Technical University of Lodz, Institute of Electronics, Poland). CT was used to evaluate the presence or absence of qualitative findings (sclerosis, sequestrum, osteolysis, periosteal reaction, and cellulitis) of SCC and MRONJ.

Results

Among the 19 texture features selected using MaZda feature-reduction methods, SCC of the gingiva and MRONJ of the mandible revealed differences in two histogram features, one absolute gradient feature, and 16 Gy level co-occurrence matrix features. In particular, the percentile, angular second moment, entropy, and difference entropy exhibited excellent diagnostic performance.

Conclusion

Non-contrast-enhanced MRI texture analysis revealed differences in texture parameters between mandibular SCC and mandibular MRONJ. MRI texture analysis can be a new noninvasive quantitative method for distinguishing between SCC and MRONJ.
Literatur
2.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
3.
Zurück zum Zitat 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.PubMedPubMedCentral 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.PubMedPubMedCentral
4.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
5.
Zurück zum Zitat 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.CrossRef 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.CrossRef
8.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
9.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
11.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
12.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
14.
Zurück zum Zitat 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.MathSciNetCrossRefPubMed 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.MathSciNetCrossRefPubMed
15.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
18.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
20.
21.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
22.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
23.
Zurück zum Zitat 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.ADSCrossRef 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.ADSCrossRef
24.
Zurück zum Zitat Szczypiński PM, Strzelecki M, Materka A, Klepaczko A. MaZda–a software package for image texture analysis. Comput Methods Programs Biomed. 2009;94:66–76.CrossRefPubMed Szczypiński PM, Strzelecki M, Materka A, Klepaczko A. MaZda–a software package for image texture analysis. Comput Methods Programs Biomed. 2009;94:66–76.CrossRefPubMed
25.
Zurück zum Zitat 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.CrossRef 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.CrossRef
26.
Zurück zum Zitat 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. 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.
27.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
28.
Zurück zum Zitat Lemeshow S, Sturdivant RX Jr, DWH. Applied logistic regression. 3rd ed. Hoboken: Wiley; 2013. Lemeshow S, Sturdivant RX Jr, DWH. Applied logistic regression. 3rd ed. Hoboken: Wiley; 2013.
29.
Zurück zum Zitat 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.CrossRefPubMed 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.CrossRefPubMed
Metadaten
Titel
Texture analysis using short-tau inversion recovery magnetic resonance images to differentiate squamous cell carcinoma of the gingiva from medication-related osteonecrosis of the jaw
verfasst von
Kotaro Ito
Naohisa Hirahara
Hirotaka Muraoka
Eri Sawada
Satoshi Tokunaga
Takashi Kaneda
Publikationsdatum
07.12.2023
Verlag
Springer Nature Singapore
Erschienen in
Oral Radiology / Ausgabe 2/2024
Print ISSN: 0911-6028
Elektronische ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-023-00725-3

Weitere Artikel der Ausgabe 2/2024

Oral Radiology 2/2024 Zur Ausgabe

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

Klinikreform soll zehntausende Menschenleben retten

15.05.2024 Klinik aktuell Nachrichten

Gesundheitsminister Lauterbach hat die vom Bundeskabinett beschlossene Klinikreform verteidigt. Kritik an den Plänen kommt vom Marburger Bund. Und in den Ländern wird über den Gang zum Vermittlungsausschuss spekuliert.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Klinik aktuell Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

Update Zahnmedizin

Bestellen Sie unseren kostenlosen Newsletter und bleiben Sie gut informiert – ganz bequem per eMail.