An update on advanced dual-energy CT for head and neck cancer imaging

References

• Johnson T, Fink C, Schönberg SO, et al. Dual energy CT in clinical practice. Medical Radiology. Springer-Verlag Berlin Heidelberg; 2011.
   Google Scholar
• Johnson TR. Dual-energy CT: general principles. AJR Am J Roentgenol. 2012;199(5 Suppl):S3–8.
   PubMed Web of Science ®Google Scholar
• McCollough CH, Leng S, Yu L, et al. Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology. 2015;276(3):637–653.
   PubMed Web of Science ®Google Scholar
• Forghani R, De Man B, Gupta R. Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 1. Neuroimaging Clin N Am. 2017;27(3):371–384.
   PubMedGoogle Scholar
• Forghani R, De Man B, Gupta R. Dual-energy computed tomography: physical principles, approaches to scanning, usage, and implementation: part 2. Neuroimaging Clin N Am. 2017;27(3):385–400.
   PubMedGoogle Scholar
• Forghani R, Srinivasan A, Forghani B. Advanced tissue characterization and texture analysis using dual-energy computed tomography: horizons and emerging applications. Neuroimaging Clin N Am. 2017;27(3):533–546.
   PubMed Web of Science ®Google Scholar
• May MS, Wiesmueller M, Heiss R, et al. Comparison of dual- and single-source dual-energy CT in head and neck imaging. Eur Radiol. 2018.
   Google Scholar
• Schenzle JC, Sommer WH, Neumaier K, et al. Dual energy CT of the chest: how about the dose? Invest Radiol. 2010;45(6):347–353.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Li B, Yadava G, Hsieh J. Quantification of head and body CTDI(VOL) of dual-energy x-ray CT with fast-kVp switching. Med Phys. 2011;38(5):2595–2601.
   PubMed Web of Science ®Google Scholar
• Kamiya K, Kunimatsu A, Mori H, et al. Preliminary report on virtual monochromatic spectral imaging with fast kVp switching dual energy head CT: comparable image quality to that of 120-kVp CT without increasing the radiation dose. Jpn J Radiol. 2013;31(4):293–298.
   PubMed Web of Science ®Google Scholar
• Matsumoto K, Jinzaki M, Tanami Y, et al. Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT. Radiology. 2011;259(1):257–262.
   PubMed Web of Science ®Google Scholar
• Hwang WD, Mossa-Basha M, Andre JB, et al. Qualitative comparison of noncontrast head dual-energy computed tomography using rapid voltage switching technique and conventional computed tomography. J Comput Assist Tomogr. 2016;40(2):320–325.
   PubMed Web of Science ®Google Scholar
• 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. J Comput Assist Tomogr. 2017;41(4):565–571.
   PubMed Web of Science ®Google Scholar
• Suntharalingam S, Stenzel E, Wetter A, et al. Third generation dual-energy CT with 80/150 Sn kV for head and neck tumor imaging. Acta Radiol. 2019;60(5):586-592.
   Web of Science ®Google Scholar
• Pinho DF, Kulkarni NM, Krishnaraj A, et al. Initial experience with single-source dual-energy CT abdominal angiography and comparison with single-energy CT angiography: image quality, enhancement, diagnosis and radiation dose. Eur Radiol. 2013;23(2):351–359.
   PubMed Web of Science ®Google Scholar
• Patel BN, Thomas JV, Lockhart ME, et al. Single-source dual-energy spectral multidetector CT of pancreatic adenocarcinoma: optimization of energy level viewing significantly increases lesion contrast. Clin Radiol. 2013;68(2):148–154.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Forghani R. Advanced dual-energy CT for head and neck cancer imaging. Expert Rev Anticancer Ther. 2015;15(12):1489-1501.
   Web of Science ®Google Scholar
• 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(3):445–459.
   PubMed Web of Science ®Google Scholar
• Forghani R, Mukherji SK. Advanced dual-energy CT applications for the evaluation of the soft tissues of the neck. Clin Radiol. 2017;73(1):70–80.
   PubMed Web of Science ®Google Scholar
• Al Ajmi E, Forghani B, Reinhold C, et al. Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm. Eur Radiol. 2018;28(6):2604–2611.
   PubMed Web of Science ®Google Scholar
• 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 Apr 12; DOI:10.1007/s00330-019-06159-y. [ Epub ahead of print].
   Google Scholar
• Graser A, Johnson TR, Hecht EM, et al. Dual-energy CT in patients suspected of having renal masses: can virtual nonenhanced images replace true nonenhanced images? Radiology. 2009;252(2):433–440.
   PubMed Web of Science ®Google Scholar
• Beland B, Levental M, Srinivasan A, et al. Practice variations in salivary gland imaging and utility of virtual unenhanced dual energy CT images for the detection of major salivary gland stones. Acta Radiol. 2018;Epub ahead of print.
   Google Scholar
• Mallinson PI, Coupal TM, McLaughlin PD, et al. Dual-Energy CT for the musculoskeletal system. Radiology. 2016;281(3):690–707.
   PubMed Web of Science ®Google Scholar
• Wang CK, Tsai JM, Chuang MT, et al. Bone marrow edema in vertebral compression fractures: detection with dual-energy CT. Radiology. 2013;269(2):525–533.
   PubMed Web of Science ®Google Scholar
• Kaup M, Wichmann JL, Scholtz JE, et al. Dual-energy CT-based display of bone marrow edema in osteoporotic vertebral compression fractures: impact on diagnostic accuracy of radiologists with varying levels of experience in correlation to MR imaging. Radiology. 2016;280(2):510–519.
   PubMed Web of Science ®Google Scholar
• Kosmala A, Weng AM, Heidemeier A, et al. Multiple myeloma and dual-energy CT: diagnostic accuracy of virtual noncalcium technique for detection of bone marrow infiltration of the spine and pelvis. Radiology. 2018;286(1):205–213.
   PubMed Web of Science ®Google Scholar
• 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. Invest Radiol. 2012;47(5):306–311.
   PubMed Web of Science ®Google Scholar
• Scholtz JE, Husers 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. Clin Radiol. 2015;70(2):168–175.
   PubMed Web of Science ®Google Scholar
• Rettig EM, D’Souza G. Epidemiology of head and neck cancer. Surg Oncol Clin N Am. 2015;24(3):379–396.
   PubMed Web of Science ®Google Scholar
• Wichmann JL, Noske EM, Kraft J, et al. Virtual monoenergetic dual-energy computed tomography: optimization of kiloelectron volt settings in head and neck cancer. Invest Radiol. 2014;49(11):735–741.
   PubMed Web of Science ®Google Scholar
• Albrecht MH, Scholtz JE, Kraft J, et al. Assessment of an advanced monoenergetic reconstruction technique in dual-energy computed tomography of head and neck cancer. Eur Radiol. 2015;25(8):2493–2501.
   PubMed Web of Science ®Google Scholar
• Kraft M, Ibrahim M, Spector M, et al. Comparison of virtual monochromatic series, iodine overlay maps, and single energy CT equivalent images in head and neck cancer conspicuity. Clin Imaging. 2018;48:26–31.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• AJCC Cancer Staging Manual. 8th ed. New York; London:Springer International Publishing; 2017.
   Google Scholar
• Dadfar N, Seyyedi M, Forghani R, et al. Computed tomography appearance of normal nonossified thyroid cartilage: implication for tumor invasion diagnosis. J Comput Assist Tomogr. 2015;39(2):240–243.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• 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 (Basel). 2015;7(4):2201–2216.
   PubMed Web of Science ®Google Scholar
• 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. AJR Am J Roentgenol. 2016;206(3):580–587.
   PubMed Web of Science ®Google Scholar
• Bahig H, Lapointe A, Bedwani S, et al. Dual-energy computed tomography for prediction of loco-regional recurrence after radiotherapy in larynx and hypopharynx squamous cell carcinoma. Eur J Radiol. 2019;110:1–6.
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Liu X, Ouyang D, Li H, et al. Papillary thyroid cancer: dual-energy spectral CT quantitative parameters for preoperative diagnosis of metastasis to the cervical lymph nodes. Radiology. 2015;275(1):167–176.
   PubMed Web of Science ®Google Scholar
• Yang L, Luo D, Li L, et al. Differentiation of malignant cervical lymphadenopathy by dual-energy CT: a preliminary analysis. Sci Rep. 2016;6:31020.
   PubMed Web of Science ®Google Scholar
• Li M, Zheng X, Li J, et al. Dual-energy computed tomography imaging of thyroid nodule specimens: comparison with pathologic findings. Invest Radiol. 2012;47(1):58–64.
   PubMed Web of Science ®Google Scholar
• Gao SY, Zhang XY, Wei W, et al. Identification of benign and malignant thyroid nodules by in vivo iodine concentration measurement using single-source dual energy CT: A retrospective diagnostic accuracy study. Medicine (Baltimore). 2016;95(39):e4816.
   PubMed Web of Science ®Google Scholar
• Lee DH, Lee YH, Seo HS, et al. Dual-energy CT iodine quantification for characterizing focal thyroid lesions. Head Neck. 2019;41(4):1024–1031.
   PubMed Web of Science ®Google Scholar
• Li L, Zhao Y, Luo D, et al. Diagnostic value of single-source dual-energy spectral computed tomography in differentiating parotid gland tumors: initial results. Quant Imaging Med Surg. 2018;8(6):588–596.
   PubMed Web of Science ®Google Scholar
• De Crop A, Casselman J, Van Hoof T, et al. Analysis of metal artifact reduction tools for dental hardware in CT scans of the oral cavity: kVp, iterative reconstruction, dual-energy CT, metal artifact reduction software: does it make a difference? Neuroradiology. 2015;57(8):841–849.
   PubMed Web of Science ®Google Scholar
• Komlosi P, Grady D, Smith JS, et al. Evaluation of monoenergetic imaging to reduce metallic instrumentation artifacts in computed tomography of the cervical spine. J Neurosurg Spine. 2015;22(1):34–38.
   PubMed Web of Science ®Google Scholar
• Stolzmann P, Winklhofer S, Schwendener N, et al. Monoenergetic computed tomography reconstructions reduce beam hardening artifacts from dental restorations. Forensic Sci Med Pathol. 2013;9(3):327–332.
   PubMed Web of Science ®Google Scholar
• Tanaka R, Hayashi T, Ike M, et al. Reduction of dark-band-like metal artifacts caused by dental implant bodies using hypothetical monoenergetic imaging after dual-energy computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013;115(6):833–838.
   PubMed Web of Science ®Google Scholar
• Srinivasan A, Hoeffner E, Ibrahim M, et al. Utility of dual-energy CT virtual keV monochromatic series for the assessment of spinal transpedicular hardware-bone interface. AJR Am J Roentgenol. 2013;201(4):878–883.
   PubMed Web of Science ®Google Scholar
• 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. J Comput Assist Tomogr. 2017;41(6):931-936.
   PubMed Web of Science ®Google Scholar
• Grosse Hokamp N, Laukamp KR, Lennartz S, et al. Artifact reduction from dental implants using virtual monoenergetic reconstructions from novel spectral detector CT. Eur J Radiol. 2018;104:136–142.
   PubMed Web of Science ®Google Scholar
• Cha J, Kim HJ, Kim ST, et al. Dual-energy CT with virtual monochromatic images and metal artifact reduction software for reducing metallic dental artifacts. Acta Radiol. 2017;58(11):1312–1319.
   PubMed Web of Science ®Google Scholar
• Perez-Lara A, Levental M, Rosenbloom L, et al. Routine dual-energy computed tomography scanning of the neck in clinical practice: a single-institution experience. Neuroimaging Clin N Am. 2017;27(3):523–531.
   PubMed Web of Science ®Google Scholar
• Bazalova M, Carrier JF, Beaulieu L, et al. Dual-energy CT-based material extraction for tissue segmentation in Monte Carlo dose calculations. Phys Med Biol. 2008;53(9):2439–2456.
   PubMed Web of Science ®Google Scholar
• Hunemohr N, Krauss B, Dinkel J, et al. Ion range estimation by using dual energy computed tomography. Z Med Phys. 2013;23(4):300–313.
   PubMed Web of Science ®Google Scholar
• van Elmpt W, Landry G, Das M, et al. Dual energy CT in radiotherapy: current applications and future outlook. Radiother Oncol. 2016;119(1):137–144.
   PubMed Web of Science ®Google Scholar
• Wohlfahrt P, Mohler C, Stutzer K, et al. Dual-energy CT based proton range prediction in head and pelvic tumor patients. Radiother Oncol. 2017;125(3):526–533.
   PubMed Web of Science ®Google Scholar
• Almeida IP, Schyns L, Vaniqui A, et al. Monte Carlo proton dose calculations using a radiotherapy specific dual-energy CT scanner for tissue segmentation and range assessment. Phys Med Biol. 2018;63(11):115008.
   PubMed Web of Science ®Google Scholar
• Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278(2):563–577.
   PubMed Web of Science ®Google Scholar
• Lambin P, Leijenaar RTH, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749–762.
   PubMed Web of Science ®Google Scholar
• Flohr TG, McCollough CH, Bruder H, et al. First performance evaluation of a dual-source CT (DSCT) system. Eur Radiol. 2006;16(2):256–268.
   PubMed Web of Science ®Google Scholar
• Johnson TR, Krauss B, Sedlmair M, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17(6):1510–1517.
   PubMed Web of Science ®Google Scholar
• LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–444.
   PubMed Web of Science ®Google Scholar
• Hosny A, Parmar C, Quackenbush J, et al. Artificial intelligence in radiology. Nat Rev Cancer. 2018;18(8):500–510.
   PubMed Web of Science ®Google Scholar