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18-12-2023 | Chondrosarcoma | Original Article

CT and MR imaging findings of head and neck chondrosarcoma

Authors: Yoon Joo Choi, Sang-Sun Han, Chena Lee, Kug Jin Jeon

Published in: Oral Radiology | Issue 2/2024

Abstract

Objectives

This study investigated the imaging features of head and neck chondrosarcoma (HNCS) according to its origin and pathologic subtype.

Methods

Patients who were pathologically diagnosed with HNCS between January 2000 and April 2022 were retrospectively reviewed. Lesions were classified based on their origin and pathologic subtype. The size and margin were evaluated on the image. Internal calcification and the effects on adjacent bone were assessed using computed tomography (CT) images, while signal intensity and contrast enhancement patterns were analyzed using magnetic resonance (MR) imaging.

Results

Thirteen HNCSs were included in this study: 8 bone tumors (61.5%) and 5 soft tissue tumors (38.5%). The bone tumors were pathologically diagnosed as conventional (n = 5) and mesenchymal type (n = 3). Soft tissue tumors were defined as myxoid type. The main symptoms were swelling (90.9%) and pain (72.7%). The lesions measured 4.5 cm on average. The margins showed benign and well-defined except for the mesenchymal type. On CT, most bone tumors (75%) showed internal calcification with remodeling or destruction of the adjacent bone. No soft tissue tumors, except one case, showed internal calcification or destruction of the adjacent bone. MR imaging features were non-specific (T2 high signal intensity and contrast enhancement).

Conclusions

HCNS showed various imaging findings according to their origin and pathologic subtype. HNCS should be differentiated if a bone tumor shows internal calcification and affects the adjacent bone. When diagnosing slow-growing soft tissue tumors, even if low possibility, HNCS should be considered.

Razek AA, Huang BY. Soft tissue tumors of the head and neck: imaging-based review of the WHO classification. Radiographics. 2011;31:1923–54. https://doi.org/10.1148/rg.317115095.CrossRefPubMed

Fletcher CDM. WHO classification of tumours of soft tissue and bone. IARC Press; 2013.

Som PM, Curtin HD. Head and neck imaging e-book. Elsevier Health Sciences; 2011.

Koch BB, Karnell LH, Hoffman HT, Apostolakis LW, Robinson RA, Zhen W, et al. National cancer database report on chondrosarcoma of the head and neck. Head Neck. 2000;22:408–25. https://doi.org/10.1002/1097-0347(200007)22:4%3c408::AID-HED15%3e3.0.CO;2-H.CrossRefPubMed

Ellis MA, Gerry DR, Byrd JK. Head and neck chondrosarcomas: analysis of the surveillance, epidemiology, and end results database. Head Neck. 2016;38:1359–66. https://doi.org/10.1002/hed.24434.CrossRefPubMed

Kim J, Lee SK. Classification of chondrosarcoma: from characteristic to challenging imaging findings. Cancers. 2023;15:1703. https://doi.org/10.3390/cancers15061703.CrossRefPubMedPubMedCentral

Bansal A, Goyal S, Goyal A, Jana M. WHO classification of soft tissue tumours 2020: an update and simplified approach for radiologists. Eur J Radio. 2021;143: 109937. https://doi.org/10.1016/j.ejrad.2021.109937.CrossRef

Subhawong TK, Fishman EK, Swart JE, Carrino JA, Attar S, Fayad LM. Soft-Tissue masses and masslike conditions: what does CT add to diagnosis and management? AJR Am J Roentgenol. 2010;194:1559–67. https://doi.org/10.2214/AJR.09.3736.CrossRefPubMedPubMedCentral

Ghafoor S, Hameed MR, Tap WD, Hwang S. Mesenchymal chondrosarcoma: imaging features and clinical findings. Skeletal Radiol. 2021;50:333–41. https://doi.org/10.1007/s00256-020-03558-x.CrossRefPubMed

10.

Crombé A, Marcellin P-J, Buy X, Stoeckle E, Brouste V, Italiano A, et al. Soft-tissue sarcomas: assessment of MRI features correlating with histologic grade and patient outcome. Radiology. 2019;291:710–21. https://doi.org/10.1148/radiol.2019181659.CrossRefPubMed

11.

Murphey MD, Walker EA, Wilson AJ, Kransdorf MJ, Temple HT, Gannon FH. From the Archives of the AFIP: imaging of primary chondrosarcoma: radiologic-pathologic correlation. Radiographics. 2003;23:1245–78. https://doi.org/10.1148/rg.235035134.CrossRefPubMed

12.

Oh Y, Yang I, Yoon DY, Cho SJ, Lee Y, Woo JY, et al. Extraskeletal myxoid chondrosarcoma of the neck. Dentomaxillofac Radiol. 2013;42:31808012. https://doi.org/10.1259/dmfr/31808012.CrossRefPubMedPubMedCentral

13.

Coca-Pelaz A, Rodrigo JP, Triantafyllou A, Hunt JL, Fernández-Miranda JC, Strojan P, et al. Chondrosarcomas of the head and neck. Eur Arch Otorhinolaryngol. 2014;271:2601–9. https://doi.org/10.1007/s00405-013-2807-3.CrossRefPubMed

14.

Acero J, Escrig M, Gimeno M, Montenegro T, Navarro-Vila C. Extraskeletal myxoid chondrosarcoma of the infratemporal fossa: a case report. Int J Oral Maxillofac Surg. 2003;32:342–5. https://doi.org/10.1054/ijom.2002.0335.CrossRefPubMed

15.

Sayal NR, Lepoudre C, Pui J. Extraskeletal myxoid chondrosarcoma of the neck. Otolaryngology Case Reports. 2017;2:22–5. https://doi.org/10.1016/j.xocr.2016.12.002.CrossRef

16.

Romañach MJ, Carlos R, Nuyens M, de Andrade BA, de Almeida OP. Extraskeletal myxoid chondrosarcoma of the masticator space in a pediatric patient. J Clin Exp Dent. 2017;9:e825–31. https://doi.org/10.4317/jced.53888.CrossRefPubMedPubMedCentral

17.

Hu H, Xu X, Zeng W, Deng H, Yun D, Li G. Low- to moderate-grade myxoid chondrosarcoma in the craniofacial region: CT and MRI findings in 13 cases. Oral Radiol. 2015;31:81–9. https://doi.org/10.1007/s11282-014-0184-2.CrossRef

18.

Lee DH, Jung SH, Yoon TM, Lee JK, Joo YE, Lim SC. Low grade chondrosarcoma of the nasal septum. World J Clin Cases. 2013;1:64–6. https://doi.org/10.12998/wjcc.v1.i1.64.CrossRefPubMedPubMedCentral

19.

Lee SY, Lim YC, Song MH, Seok JY, Lee WS, Chang EC. Chondrosarcoma of the head and neck. Yonsei Med J. 2005;46:228–32. https://doi.org/10.3349/ymj.2005.46.2.228.CrossRefPubMedPubMedCentral

20.

Banks KP, Ly JQ, Thompson LDR, Michaelson PG, Davis SW. Mesenchymal chondrosarcoma of sinonasal cavity: a case report and brief literature review. Eur J Radiol Extra. 2004;49:47–51. https://doi.org/10.1016/S1571-4675(03)00125-1.CrossRef

21.

Huh S, Hong HS, Kwak JJ, Park J, Jeong SH. Extraskeletal mesenchymal chondrosarcoma of the carotid space: a case report. J Korean Soc Radiol. 2015;72:324–8. https://doi.org/10.3348/jksr.2015.72.5.324.CrossRef

22.

White SC, Pharoah MJ. Oral radiology: principles and interpretation. 7th ed. Elsevier Health Sciences; 2013.

23.

Kawaguchi M, Kato H, Miyazaki T, Kato K, Hatakeyama D, Mizuta K, et al. CT and MR imaging characteristics of histological subtypes of head and neck ossifying fibroma. Dentomaxillofac Radiol. 2018;47:20180085. https://doi.org/10.1259/dmfr.20180085.CrossRefPubMedPubMedCentral

24.

Luo Z, Chen W, Shen X, Qin G, Yuan J, Hu B, et al. Head and neck osteosarcoma: CT and MR imaging features. Dentomaxillofac Radiol. 2020;49:20190202. https://doi.org/10.1259/dmfr.20190202.CrossRefPubMedPubMedCentral

25.

Kawaguchi S, Wada T, Nagoya S, Ikeda T, Isu K, Yamashiro K, et al. Extraskeletal myxoid chondrosarcoma. Cancer. 2003;97:1285–92. https://doi.org/10.1002/cncr.11162.CrossRefPubMed

26.

Lee E, Lee GY, Cho WS, Lee JW, Ahn JM, Lee E, et al. Useful MRI features for distinguishing benign peripheral nerve sheath tumors and myxoid tumors in the musculoskeletal system. Investig Magn Reson Imaging. 2015;19:153–61. https://doi.org/10.13104/imri.2015.19.3.153.CrossRef

27.

Kami YN, Chikui T, Okamura K, Kubota Y, Oobu K, Yabuuchi H, et al. Imaging findings of neurogenic tumours in the head and neck region. Dentomaxillofac Radiol. 2012;41:18–23. https://doi.org/10.1259/dmfr/81000210.CrossRefPubMedPubMedCentral

Title: CT and MR imaging findings of head and neck chondrosarcoma
Authors: Yoon Joo Choi
Sang-Sun Han
Chena Lee
Kug Jin Jeon
Publication date: 18-12-2023
Publisher: Springer Nature Singapore
Keywords: Chondrosarcoma
Computed Tomography
Computed Tomography
Soft Tissue Tumor
Published in: Oral Radiology / Issue 2/2024
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI: https://doi.org/10.1007/s11282-023-00729-z

EASD 2024

Springer Medicine

CT and MR imaging findings of head and neck chondrosarcoma

Abstract

Objectives

Methods

Results

Conclusions

EASD 2024

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

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