Abstract
Purpose
To evaluate the usefulness of dual-energy analyses using dual-layer spectral CT (DLSCT) for diagnosing recurrent lesions of head and neck squamous cell carcinoma (HNSCC).
Materials and methods
The study population comprised 62 patients with a history of HNSCC. Attenuation values on conventional 120-kVp images and 40-keV virtual monochromatic images (VMIs) and iodine concentration (IC) were compared between recurrent lesions and post-treatment changes or non-recurrent nodes using the Mann–Whitney U test. Receiver-operating characteristic (ROC) analysis was used to assess the ability of attenuation values and IC to diagnose recurrent lesions.
Results
Attenuation values for 120-kVp and 40-keV images and IC of local recurrent lesions were significantly higher than those of post-treatment changes (p < 0.001), whereas recurrent nodes showed significantly lower attenuation values for both 120 kVp and 40 keV and IC than non-recurrent nodes (p < 0.001). Area under the ROC curves for 120-kVp images, 40-keV images, and IC to diagnose local recurrences were 0.912, 0.992, and 0.984, respectively, and those to diagnose recurrent nodes were 0.819, 0.922, and 0.934, respectively.
Conclusions
Dual-energy images using DLSCT, particularly 40-keV VMIs and IC, may help in diagnosing recurrent lesions of HNSCC.
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Abbreviations
- HNSCC:
-
Head and neck squamous cell carcinoma
- NIRADS:
-
Head and neck imaging reporting and data system
- VMI:
-
Virtual monochromatic image
- IC:
-
Iodine concentration
- HU:
-
Hounsfield unit
- DLSCT:
-
Dual-layer spectral CT
- ROI:
-
Region-of-interest
- SNR:
-
Signal-to-noise ratio
- CNR:
-
Contrast-to-noise ratio
- ICC:
-
Intraclass correlation coefficient
- ROC:
-
Receiver-operating characteristic
- AUCs:
-
Areas under the ROC curves
- SD:
-
Standard deviation
References
Cooper JS, Pajak TF, Forastiere AA, Jacobs J, Campbell BH, Saxman SB, et al. Postoperative concurrent radiotherapy and chemotherapy for high-risk squamous-cell carcinoma of the head and neck. N Engl J Med. 2004;350:1937–44.
Tobias JS, Monson K, Gupta N, Macdougall H, Glaholm J, Hutchison I, et al. (2010) Chemoradiotherapy for locally advanced head and neck cancer: 10-year follow-up of the UK Head and Neck (UKHAN1) trial. Lancet Oncol. 2010;11:66–74.
Hermans R. Staging of laryngeal and hypopharyngeal cancer: value of imaging studies. Eur Radiol. 2006;16:2386–400.
Url C, Schartinger VH, Riechelmann H, Gluckert R, Maier H, Trumpp M, et al. Radiological detection of extracapsular spread in head and neck squamous cell carcinoma (HNSCC) cervical metastases. Eur J Radiol. 2013;82:1783–7.
Aiken AH, Farley A, Baugnon KL, Corey A, El-Deiry M, Duszak R, et al. Implementation of a novel surveillance template for head and neck cancer: neck imaging reporting and data system (NIRADS). J Am Coll Radiol JACR. 2016;13:743–6.
Forghani R, Kelly HR, Curtin HD. Applications of dual-energy computed tomography for the evaluation of head and neck squamous cell carcinoma. Neuroimaging Clin N Am. 2017;27:445–59.
Forghani R, Kelly H, Yu E, Belair M, Letourneau-Guillon L, Le H, 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. J Comput Assist Tomogr. 2017;41:565–71.
Lam S, Gupta R, Kelly H, Curtin HD, Forghani R. 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 (Basel). 2015;7:2201–16.
Srinivasan A, Parker RA, Manjunathan A, Ibrahim M, Shah GV, Mukherji SK. Differentiation of benign and malignant neck pathologies: preliminary experience using spectral computed tomography. J Comput Assist Tomogr. 2013;37:666–72.
Tawfik AM, Razek AA, Kerl JM, Nour-Eldin NE, Bauer R, Vogl TJ. 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;24:574–80.
McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology. 2015;276:637–53.
Doerner J, Hauger M, Hickethier T, Byrtus J, Wybranski C, Hokamp NG, et al. Image quality evaluation of dual-layer spectral detector CT of the chest and comparison with conventional CT imaging. Eur J Radiol. 2017;93:52–8.
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.
Lam S, Gupta R, Levental M, Yu E, Curtin HD, Forghani R. Optimal virtual monochromatic images for evaluation of normal tissues and head and neck cancer using dual-energy CT. AJNR Am J Neuroradiol. 2015;36:1518–24.
Wichmann JL, Noske EM, Kraft J, Burck I, Wagenblast J, Eckardt A, et al. Virtual monoenergetic dual-energy computed tomography: optimization of kiloelectron volt settings in head and neck cancer. Invest Radiol. 2014;49:735–41.
Kuno H, Onaya H, Iwata R, Kobayashi T, Fujii S, Hayashi R, et al. Evaluation of cartilage invasion by laryngeal and hypopharyngeal squamous cell carcinoma with dual-energy CT. Radiology. 2012;265:488–96.
Scholtz JE, Husers K, Kaup M, Albrecht M, Schulz B, Frellesen C, et al. Non-linear image blending improves visualization of head and neck primary squamous cell carcinoma compared to linear blending in dual-energy CT. Clin Radiol. 2015;70:168–75.
Yeh BM, Shepherd JA, Wang ZJ, Teh HS, Hartman RP, Prevrhal S. Dual-energy and low-kVp CT in the abdomen. AJR Am J Roentgenol. 2009;193:47–54.
Kalender WA, Klotz E, Kostaridou L. An algorithm for noise suppression in dual energy CT material density images. IEEE Trans Med Imaging. 1988;7:218–24.
Brown KM, Zabic S, Shechter G. Impact of spectral separation in dual-energy CT with anti-correlated statistical reconstruction. In: Proceedings of the 13th fully three-dimensional image reconstruction in radiology and nuclear medicine; 2015. p. 491–4.
Sakabe D, Funama Y, Taguchi K, Nakaura T, Utsunomiya D, Oda S, et al. Image quality characteristics for virtual monoenergetic images using dual-layer spectral detector CT: Comparison with conventional tube voltage images. Phys Med PM Int J Devot Appl Phys Med Biol. 2018;49:5–10.
Lohofer FK, Kaissis GA, Koster FL, Ziegelmayer S, Einspieler I, Gerngross C, et al. Improved detection rates and treatment planning of head and neck cancer using dual-layer spectral CT. Eur Radiol. 2018;28:4925–31.
Miles KA. Tumour angiogenesis and its relation to contrast enhancement on computed tomography: a review. Eur J Radiol. 1999;30:198–205.
Hermans R. Diffusion-weighted MRI in head and neck cancer. Curr Opin Otolaryngol Head Neck Surg. 2010;18:72–8.
Yamauchi H, Buehler M, Goodsitt MM, Keshavarzi N, Srinivasan A. 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. AJR Am J Roentgenol. 2016;206:580–7.
Naresh KN, Nerurkar AY, Borges AM. Angiogenesis is redundant for tumour growth in lymph node metastases. Histopathology. 2001;38:466–70.
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Online supplementary figures
Bland-Altman plots of each quantitative parameter (local CT attenuation value on 120 kVp (a) and on 40 keV (b), local iodine concentration (c), lymph node CT attenuation value on 120 kVp (d) and on 40 keV (e), lymph node iodine concentration (f), local signal-to-noise ratio on 120 kVp (g) and on 40 keV (h), lymph node signal-to-noise ratio on 120 kVp (i) and on 40 keV (j), and recurrent lesion contrast-to-noise on 120 kVp (k) and on 40 keV (l)), illustrating mean differences and 95% limits of agreement between Observers 1 and 2 (TIF 1541 kb)
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Takumi, K., Hakamada, H., Nagano, H. et al. Usefulness of dual-layer spectral CT in follow-up examinations: diagnosing recurrent squamous cell carcinomas in the head and neck. Jpn J Radiol 39, 324–332 (2021). https://doi.org/10.1007/s11604-020-01071-8
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DOI: https://doi.org/10.1007/s11604-020-01071-8