Dual-energy computed tomography for head and neck cancer
- Authors: Petrovichev V.S.1, Neklyudova M.V.1, Sinitsyn V.E.2, Nikitin I.G.1
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Affiliations:
- Radiology Department, National Medical Research Treatment and Rehabilitation Centre of the Ministry of Health of Russia
- Lomonosov Moscow State University
- Issue: Vol 2, No 3 (2021)
- Pages: 343-355
- Section: Reviews
- URL: https://journals.rcsi.science/DD/article/view/62572
- DOI: https://doi.org/10.17816/DD62572
- ID: 62572
Cite item
Abstract
This study reviewed the head and neck cancer diagnosis publications using dual-energy computed tomography (DECT). The qualitative and quantitative analysis of the data was DECT obtained using intravenous contrast enhancement for localized tumors, which shows the importance of constructing iodine maps for obtaining additional diagnostic information. Including the article is described aspects of improving visualization of the oropharyngeal region against the background of artifacts from dental implants. Several research articles highlight the current state of the issue and the role of post-processing of “raw data” DECT, obtaining a range of monochromatic images of a tumor and other pathological changes in the head and neck region in the article. Several learned treatises were also reflected. DECT with intravenous contrast enhancement and routine computed tomography to reduce radiation exposure to patients were compared particularly due to the possibility of obtaining virtual native diagnostic images from a contrasting series of DECT volumes during post-processing. In addition, this review also includes references to works that highlight the development of DECT as the method. Finally, the physical principles underlying DECT and the prospects for the development of the method are briefly represented.
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##article.viewOnOriginalSite##About the authors
Victor S. Petrovichev
Radiology Department, National Medical Research Treatment and Rehabilitation Centre of the Ministry of Health of Russia
Email: petrovi4ev@gmail.com
ORCID iD: 0000-0002-8391-2771
SPIN-code: 7730-7420
MD, Cand. Sci. (Med.)
Russian Federation, 3 Ivan’kovskoe shosse, 125367, MoscowMarina V. Neklyudova
Radiology Department, National Medical Research Treatment and Rehabilitation Centre of the Ministry of Health of Russia
Email: mneklyudova@med-rf.ru
ORCID iD: 0000-0003-4224-2975
SPIN-code: 7450-6800
MD, Cand. Sci. (Med.)
Russian Federation, 3 Ivan’kovskoe shosse, 125367, MoscowValentin E. Sinitsyn
Lomonosov Moscow State University
Email: vsini@mail.ru
ORCID iD: 0000-0002-5649-2193
SPIN-code: 8449-6590
MD, Dr. Sci. (Med.), Professor
Russian Federation, MoscowIgor G. Nikitin
Radiology Department, National Medical Research Treatment and Rehabilitation Centre of the Ministry of Health of Russia
Author for correspondence.
Email: igor.nikitin.64@mail.ru
ORCID iD: 0000-0003-1699-0881
SPIN-code: 3595-1990
MD, Dr. Sci. (Med.), Professor
Russian Federation, 3 Ivan’kovskoe shosse, 125367, MoscowReferences
- Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians. 2018;68(6):394–424. doi: 10.3322/caac.21492
- Socially significant diseases of the Russian population in 2018. Statistical materials. Moscow; 2019. Р. 15–17. (In Russ).
- Pynnonen MA, Gillespie MB, Roman B, et al. Clinical practice guideline: evaluation of the neck mass in adults. Otolaryngol Head Neck Surg. 2017;157(2 Suppl):S1–S30. doi: 10.1177/0194599817722550
- Mannelli G, Cecconi L, Gallo O. Laryngeal preneoplastic lesions and cancer: challenging diagnosis. Qualitative literature review and meta-analysis. Critical Reviews in Oncology Hematology. 2016;106:64–90. doi: 10.1016/j.critrevonc.2016.07.004
- Hinther A, Samson N, Lau H, et al. Volumetric changes in pharyngeal structures following head and neck cancer chemoradiation therapy. The Laryngoscope. 2020;130(3):597–602. doi: 10.1002/lary.28164
- Baxi SS, Dunn LA, Burtness BA. Amidst the excitement: A cautionary tale of immunotherapy, pseudoprogression and head and neck squamous cell carcinoma. Oral Oncology. 2016;62:147–148. doi: 10.1016/j.oraloncology. 2016.10.007
- Szturz P, Vermorken JB. Immunotherapy in head and neck cancer: aiming at EXTREME precision. BMC Med. 2017;15(1):110. doi: 10.1186/s12916-017-0879-4
- Abgral R, Querellou S, Potard G, et al. Does 18f-fdg pet/ct improve the detection of posttreatment recurrence of head and neck squamous cell carcinoma in patients negative for disease on clinical follow-up? Journal of Nuclear Medicine. 2008;50(1):24–29. doi: 10.2967/jnumed.108.055806
- Greven KM, Williams DW, Keyes JW, et al. Positron emission tomography of patients with head and neck carcinoma before and after high dose irradiation. Cancer. 1994;74(4):1355–1359. doi: 10.1002/1097-0142(19940815)74:4<1355::aid-cncr2820740428>3.0.co;2-i
- Widmann G, Henninger B, Kremser C, Jaschke W. MRI sequences in head & neck radiology – state of the art. Fortschr Röntgenstr. 2017;189(05):413–422. doi: 10.1055/s-0043-103280
- Dai YL, King AD. State of the art MRI in head and neck cancer. Clinical Radiology. 2018;73(1):45–59. doi: 10.1016/j.crad.2017.05.020
- Genant HK, Boyd D. Quantitative bone mineral analysis using dual energy computed tomography. Investigative Radiology. 1977;12(6):545–551. doi: 10.1097/00004424-197711000-00015
- Raymakers JA, Hoekstra O, van Putten J, et al. Fracture prevalence and bone mineral mass in osteoporosis measured with computed tomography and dual energy photon absorptiometry. Skeletal Radiol. 1986;15(3):191–197. doi: 10.1007/BF00354059
- Tawfik AM, Kerl JM, Razek AA, et al. Image quality and radiation dose of dual-energy ct of the head and neck compared with a standard 120-kvp acquisition. AJNR Am J Neuroradiol. 2011;32(11):1994–1999. doi: 10.3174/ajnr.A2654
- Deng K, Liu C, Ma R, et al. Clinical evaluation of dual-energy bone removal in CT angiography of the head and neck: comparison with conventional bone-subtraction CT angiography. Clinical Radiology. 2009;64(5):534–541. doi: 10.1016/j.crad.2009.01.007
- Lell MM, Kramer M, Klotz E, et al. Carotid computed tomography angiography with automated bone suppression: a comparative study between dual energy and bone subtraction techniques. Investigative Radiology. 2009;44(6):322–328. doi: 10.1097/RLI.0b013e31819e8ad9
- Thomas C, Korn A, Krauss B, et al. Automatic bone and plaque removal using dual energy CT for head and neck angiography: Feasibility and initial performance evaluation. European Journal of Radiology. 2010;76(1):61–67. doi: 10.1016/j.ejrad.2009.05.004
- Lell MM, Hinkmann F, Nkenke E, et al. Dual energy CTA of the supraaortic arteries: Technical improvements with a novel dual source CT system. European Journal of Radiology. 2010;76(2):e6–e12. doi: 10.1016/j.ejrad.2009.09.022
- Chen Y, Xue H, Liu W, et al. [Dual-energy computed tomographic angiography of head and neck arteries with different contrast material doses in second generation dual-source computed tomography system]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2010;32(6):628–633. doi: 10.3881/j.issn.1000.503X.2010.06.008
- Korn A, Fenchel M, Bender B, et al. High-pitch dual-source CT angiography of supra-aortic arteries: assessment of image quality and radiation dose. Neuroradiology. 2013;55(4):423–430. doi: 10.1007/s00234-012-1120-y
- Chen Y, Xue H, Jin Z, et al. 128-slice acceletated-pitch dual energy ct angiography of the head and neck: comparison of different low contrast medium volumes. PLoS ONE. 2013;8(11):e80939. doi: 10.1371/journal.pone.0080939
- Korn A, Bender B, Schabel C, et al. Dual-source dual-energy ct angiography of the supra-aortic arteries with tin filter. Academic Radiology. 2015;22(6):708–713. doi: 10.1016/j.acra.2015.01.016
- Kaemmerer N, Brand M, Hammon M, et al. Dual-energy computed tomography angiography of the head and neck with single-source computed tomography: a new technical (Split filter) approach for bone removal. Invest Radiol. 2016;51(10):618–623. doi: 10.1097/RLI.0000000000000290
- Ma G, Yu Y, Duan H, et al. Subtraction CT angiography in head and neck with low radiation and contrast dose dual-energy spectral CT using rapid kV-switching technique. BJR. 2018;20170631. doi: 10.1259/bjr.20170631
- Wu Q, Shi D, Cheng T, et al. Improved display of cervical intervertebral discs on water (Iodine) images: incidental findings from single-source dual-energy CT angiography of head and neck arteries. Eur Radiol. 2019;29(1):153–160. doi: 10.1007/s00330-018-5603-z
- Schwahofer A, Bär E, Kuchenbecker S, et al. The application of metal artifact reduction (Mar) in CT scans for radiation oncology by monoenergetic extrapolation with a DECT scanner. Zeitschrift für Medizinische Physik. 2015;25(4):314–325. doi: 10.1016/j.zemedi.2015.05.004
- Weiß J, Schabel C, Bongers M, et al. Impact of iterative metal artifact reduction on diagnostic image quality in patients with dental hardware. Acta Radiol. 2017;58(3):279–285. doi: 10.1177/0284185116646144
- Große Hokamp N, Laukamp KR, Lennartz S, et al. Artifact reduction from dental implants using virtual monoenergetic reconstructions from novel spectral detector CT. European Journal of Radiology. 2018;104:136–142. doi: 10.1016/j.ejrad.2018.04.018
- Nair JR, DeBlois F, Ong T, et al. Dual-energy ct: balance between iodine attenuation and artifact reduction for the evaluation of head and neck cancer. Journal of Computer Assisted Tomography. 2017;41(6):931–936. doi: 10.1097/RCT.0000000000000617
- Liao E, Srinivasan A. Applications of dual-energy computed tomography for artifact reduction in the head, neck, and spine. Neuroimaging Clinics of North America. 2017;27(3):489–497. doi: 10.1016/j.nic.2017.04.004
- Vogl TJ, Schulz B, Bauer RW, et al. Dual-energy ct applications in head and neck imaging. American Journal of Roentgenology. 2012;199(5 Suppl):S34–S39. doi: 10.2214/AJR.12.9113
- Srinivasan A, Parker RA, Manjunathan A, et al. Differentiation of benign and malignant neck pathologies: preliminary experience using spectral computed tomography. Journal of Computer Assisted Tomography. 2013;37(5):666–672. doi: 10.1097/RCT.0b013e3182976365
- Tawfik AM, Razek AA, Kerl JM, et al. Comparison of dual-energy CT-derived iodine content and iodine overlay of normal, inflammatory and metastatic squamous cell carcinoma cervical lymph nodes. Eur Radiol. 2014;24(3):574–580. doi: 10.1007/s00330-013-3035-3
- Kuno H, Onaya H, Fujii S, et al. Primary staging of laryngeal and hypopharyngeal cancer: CT, MR imaging and dual-energy CT. European Journal of Radiology. 2014;83(1):e23–e35. doi: 10.1016/j.ejrad.2013.10.022
- Toepker M, Czerny C, Ringl H, et al. Can dual-energy CT improve the assessment of tumor margins in oral cancer? Oral Oncology. 2014;50(3):221–227. doi: 10.1016/j.oraloncology.2013.12.001
- Ginat DT, Mayich M, Daftari-Besheli L, Gupta R. Clinical applications of dual-energy CT in head and neck imaging. Eur Arch Otorhinolaryngol. 2016;273(3):547–553. doi: 10.1007/s00405-014-3417-4
- Tawfik AM, Kerl JM, Bauer RW, et al. Dual-energy CT of head and neck cancer: average weighting of low- and high-voltage acquisitions to improve lesion delineation and image quality –initial clinical experience. Investigative Radiology. 2012;47(5):306–311. doi: 10.1097/RLI.0b013e31821e3062
- Li M, Zheng X, Li J, et al. Dual-energy computed tomography imaging of thyroid nodule specimens: comparison with pathologic findings. Investigative Radiology. 2012;47(1):58–64. doi: 10.1097/RLI.0b013e318229fef3
- Kuno H, Onaya H, Iwata R, et al. Evaluation of cartilage invasion by laryngeal and hypopharyngeal squamous cell carcinoma with dual-energy CT. Radiology. 2012;265(2):488–496. doi: 10.1148/radiol.12111719
- Forghani R, Levental M, Gupta R, et al. Different spectral hounsfield unit curve and high-energy virtual monochromatic image characteristics of squamous cell carcinoma compared with nonossified thyroid cartilage. AJNR Am J Neuroradiol. 2015;36(6):1194–1200. doi: 10.3174/ajnr.A4253
- Kuno H, Sakamaki K, Fujii S, et al. Comparison of MR imaging and dual-energy CT for the evaluation of cartilage invasion by laryngeal and hypopharyngeal squamous cell carcinoma. AJNR Am J Neuroradiol. 2018;39(3):524–531. doi: 10.3174/ajnr.A5530
- Wichmann JL, Kraft J, Nöske EM, et al. Low-tube-voltage 80-kvp neck ct: evaluation of diagnostic accuracy and interobserver agreement. AJNR Am J Neuroradiol. 2014;35(12):2376–2381. doi: 10.3174/ajnr.A4052
- Scholtz JE, Hüsers K, Kaup M, et al. Non-linear image blending improves visualization of head and neck primary squamous cell carcinoma compared to linear blending in dual-energy CT. Clinical Radiology. 2015;70(2):168–175. doi: 10.1016/j.crad.2014.10.018
- Lam S, Gupta R, Levental M, et al. Optimal virtual monochromatic images for evaluation of normal tissues and head and neck cancer using dual-energy CT. AJNR Am J Neuroradiol. 2015;36(8):1518–1524. doi: 10.3174/ajnr.A4314
- Wang X, Zhao Y, Wu N, et al. [Application of single-source dual-energy spectral CT in differentiating lymphoma and metastatic lymph nodes in the head and neck]. Zhonghua Zhong Liu Za Zhi. 2015;37(5):361–366.
- Fu F, He A, Zhang Y, et al. Dua-energy virtual noncontrast imaging in diagnosis of cervical metastasis lymph nodes. J Can Res Ther. 2015;11(6):202. doi: 10.4103/0973-1482.168185
- Forghani R. Advanced dual-energy CT for head and neck cancer imaging. Expert Review of Anticancer Therapy. 2015;15(12):1489–1501. doi: 10.1586/14737140.2015.1108193
- Lam S, Gupta R, Kelly H, et al. Multiparametric evaluation of head and neck squamous cell carcinoma using a single-source dual-energy CT with fast kVp switching: state of the art. Cancers. 2015;7(4):2201–2216. doi: 10.3390/cancers7040886
- Yamauchi H, Buehler M, Goodsitt MM, et al. Dual-energy CT-based differentiation of benign posttreatment changes from primary or recurrent malignancy of the head and neck: comparison of spectral hounsfield units at 40 and 70 kev and iodine concentration. American Journal of Roentgenology. 2016;206(3):580–587. doi: 10.2214/AJR.15.14896
- Yang L, Luo D, Li L, et al. Differentiation of malignant cervical lymphadenopathy by dual-energy CT: a preliminary analysis. Sci Rep. 2016;6(1):31020. doi: 10.1038/srep31020
- May MS, Bruegel J, Brand M, et al. Computed tomography of the head and neck region for tumor staging – comparison of dual-source, dual-energy and low-kilovolt, single-energy acquisitions. Invest Radiol. 2017;52(9):522–528. doi: 10.1097/RLI.0000000000000377
- Forghani R, Kelly H, Yu E, et al. Low-energy virtual monochromatic dual-energy computed tomography images for the evaluation of head and neck squamous cell carcinoma: a study of tumor visibility compared with single-energy computed tomography and user acceptance. Journal of Computer Assisted Tomography. 2017;41(4):565–571. doi: 10.1097/RCT.0000000000000571
- Forghani R, Kelly HR, Curtin HD. Applications of dual-energy computed tomography for the evaluation of head and neck squamous cell carcinoma. Neuroimaging Clinics of North America. 2017;27(3):445–459. doi: 10.1016/j.nic.2017.04.001
- Pérez-Lara A, Forghani R. Spectral computed tomography. Magnetic Resonance Imaging Clinics of North America. 2018;26(1):1–17. doi: 10.1016/j.mric.2017.08.001
- Forghani R, Mukherji SK. Advanced dual-energy CT applications for the evaluation of the soft tissues of the neck. Clinical Radiology. 2018;73(1):70–80. doi: 10.1016/j.crad.2017.04.002
- Yang L, Luo D, Yi J, et al. Therapy effects of advanced hypopharyngeal and laryngeal squamous cell carcinoma: evaluated using dual-energy CT quantitative parameters. Sci Rep. 2018;8(1):9064. doi: 10.1038/s41598-018-27341-0
- Ge X, Yu J, Wang Z, et al. Comparative study of dual energy CT iodine imaging and standardized concentrations before and after chemoradiotherapy for esophageal cancer. BMC Cancer. 2018;18(1):1120. doi: 10.1186/s12885-018-5058-2
- Khademi S, Sarkar S, Shakeri-Zadeh A, et al. Dual-energy CT imaging of nasopharyngeal cancer cells using multifunctional gold nanoparticles. IET nanobiotechnol. 2019;13(9):957–961. doi: 10.1049/iet-nbt.2019.0067
- Forghani R, Chatterjee A, Reinhold C, et al. Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning. Eur Radiol. 2019;29(11):6172–6181. doi: 10.1007/s00330-019-06159-y
- Seidler M, Forghani B, Reinhold C, et al. Dual-energy CT texture analysis with machine learning for the evaluation and characterization of cervical lymphadenopathy. Computational and Structural Biotechnology Journal. 2019;17:1009–1015. doi: 10.1016/j.csbj.2019.07.004
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