双能计算机断层扫描用于头和颈癌

封面图片

如何引用文章

全文:

详细

对使用双能计算机断层扫描 (DECT) 诊断头颈癌的出版物进行了审查； 研究了通过 DECT 方法获得的数据的定性和定量分析结果，并在该定位的肿瘤中进行了静脉对比增强； 显示了构建碘图以获得额外诊断信息的重要性； 描述了在牙种植体伪影的背景下改善口咽区域可视化的方面。 文章中介绍的许多科学作品强调了当前的技术水平和“原始数据”DECT 后处理的作用，获得了一系列头颈部肿瘤和其他病理变化的单色图像，包括将 DECT 与静脉造影增强和常规计算机断层扫描在减少患者辐射负荷方面进行比较，特别是由于在后处理期间从 DECT 体积的对比系列中获取虚拟原生诊断图像。 除了最新的相关科学数据外，该评论还包括对 DECT 作为一种方法的发展历史的著作的参考。 简要概述了 DECT 的物理原理和该方法的发展前景。

作者简介

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 代码: 7730-7420

MD, Cand. Sci. (Med.)

俄罗斯联邦, 3 Ivan’kovskoe shosse, 125367, Moscow

Marina 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 代码: 7450-6800

MD, Cand. Sci. (Med.)

俄罗斯联邦, 3 Ivan’kovskoe shosse, 125367, Moscow

Valentin Е. Sinitsyn

Lomonosov Moscow State University

Email: vsini@mail.ru
ORCID iD: 0000-0002-5649-2193
SPIN 代码: 8449-6590

MD, Dr. Sci. (Med.), Professor

俄罗斯联邦, Moscow

Igor G. Nikitin

Radiology Department, National Medical Research Treatment and Rehabilitation Centre of the Ministry of Health of Russia

编辑信件的主要联系方式.
Email: igor.nikitin.64@mail.ru
ORCID iD: 0000-0003-1699-0881
SPIN 代码: 3595-1990

MD, Dr. Sci. (Med.), Professor

俄罗斯联邦, 3 Ivan’kovskoe shosse, 125367, Moscow

参考

  1. 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
  2. Socially significant diseases of the Russian population in 2018. Statistical materials. Moscow; 2019. Р. 15–17. (In Russ).
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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.
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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

补充文件

附件文件
动作
1. JATS XML
下载
2. 图口底鳞状细胞癌延伸至舌的放化疗后的双能计算机断层扫描。舌下表面残留肿胀和转移，分解为左侧下颌下淋巴结（黄色箭头）。 a - 碘卡； b - 虚拟非对比图像； c - 高和低kV值之间单独切片的像素分布图； d - 低值等于 80 kV 的单色图像。

下载 (893KB)
索引源数据

版权所有 © Petrovichev V.S., Neklyudova M., Sinitsyn V.Е., Nikitin I.G., 2021

Creative Commons License
此作品已接受知识共享署名-非商业性使用-禁止演绎 4.0国际许可协议的许可。

##common.cookie##