Abstract
Objectives
To evaluate the image quality of virtual-monoenergetic-imaging (VMI) from dual-layer dual-energy CT (DLCT) for the assessment of hypovascular liver metastases and its effect on lesion detectability.
Methods
Eighty-one patients with hypovascular-liver-metastases undergoing portal-venous-phase abdominal DLCT were included. Polyenergetic-images (PEI) and VMI at 40–200 keV (VMI40–200, 10-keV interval) were reconstructed. Image noise, tumor-to-liver contrast, and contrast-to-noise ratio (CNR) of hepatic parenchyma and metastatic nodules (n = 288) were measured to determine the optimal monoenergetic levels. Two radiologists independently and subjectively assessed the image quality (image contrast, image noise, and diagnostic confidence) of PEI and optimal VMI on 5-point scales to determine the best energy. For 38 patients having up to 10 metastases each with diameters < 25 mm (153 lesions), we compared blindly assessed lesion detectability and conspicuity between PEI and VMI at the best energy.
Results
Image noise of VMI40–200 was consistently lower than that of PEI (p < 0.01). Tumor-to-liver contrast and CNR increased as the energy decreased with CNR at VMI40–70 being higher than that observed on PEI (p < 0.01). The highest subjective score for diagnostic confidence was assigned at VMI40 followed by VMI50–70, all of which were significantly better than that of PEI (p < 0.01, kappa = 0.75). Lesion detectability at VMI40 was significantly superior to PEI, especially for lesions with diameters of < 10 mm (p < 0.01, kappa ≥ 0.6).
Conclusions
VMI40–70 provided a better subjective and objective image quality for the evaluation of hypovascular liver metastases, and the lesion detectability was improved with use of VMI40 compared with conventional PEI.
Key Points
• DLCT-VMI at 40–70 keV provides a superior subjective and objective image quality compared with conventional PEI for the assessment of hypovascular hepatic metastases during portal venous phase.
• Tumor-to-liver contrast and CNR of hypovascular hepatic metastases was maximized at 40 keV without a relevant increase in the image noise.
• VMI at 40 keV yields a superior lesion detectability, especially for small (< 1 cm) metastatic nodules compared with conventional PEI.
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Abbreviations
- CNR:
-
Contrast-to-noise ratio
- CTDIvol :
-
Volume CT dose index
- DECT:
-
Dual-energy CT
- DLCT:
-
Dual-layer dual-energy CT
- PEI:
-
Polyenergetic image
- ROI:
-
Region of interest
- SSDE:
-
Size-specific dose estimate
- VMI:
-
Virtual monoenergetic imaging
References
Ward J, Robinson PJ, Guthrie JA et al (2005) Liver metastases in candidates for hepatic resection: comparison of helical CT and gadolinium- and SPIO-enhanced MR imaging. Radiology 237:170–180
Niekel MC, Bipat S, Stoker J (2010) Diagnostic imaging of colorectal liver metastases with CT, MR imaging, FDG PET, and/or FDG PET/CT: a meta-analysis of prospective studies including patients who have not previously undergone treatment. Radiology 257:674–684
Schindera ST, Hareter LF, Raible S et al (2012) Effect of tumor size and tumor-to-liver contrast of hypovascular liver tumors on the diagnostic performance of hepatic CT imaging. Invest Radiol 47:197–201
Judy PF, Swensson RG, Szulc M (1981) Lesion detection and signal-to-noise ratio in CT images. Med Phys 8:13–23
Kanal KM, Chung JH, Wang J et al (2011) Image noise and liver lesion detection with MDCT: a phantom study. AJR Am J Roentgenol 197:437–441
Yamashita Y, Komohara Y, Takahashi M et al (2000) Abdominal helical CT: evaluation of optimal doses of intravenous contrast material--a prospective randomized study. Radiology 216:718–723
Awai K, Kanematsu M, Kim T et al (2016) The optimal body size index with which to determine iodine dose for hepatic dynamic CT: a prospective multicenter study. Radiology 278:773–781
Robinson E, Babb J, Chandarana H, Macari M (2010) Dual source dual energy MDCT: comparison of 80 kVp and weighted average 120 kVp data for conspicuity of hypo-vascular liver metastases. Invest Radiol 45:413–418
Volders D, Bols A, Haspeslagh M, Coenegrachts K (2013) Model-based iterative reconstruction and adaptive statistical iterative reconstruction techniques in abdominal CT: comparison of image quality in the detection of colorectal liver metastases. Radiology 269:469–474
Chang W, Lee JM, Lee K et al (2013) Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography. Invest Radiol 48:598–606
Marin D, Ramirez-Giraldo JC, Gupta S et al (2016) Effect of a noise-optimized second-generation monoenergetic algorithm on image noise and conspicuity of hypervascular liver tumors: an in vitro and in vivo study. AJR Am J Roentgenol 206:1222–1232
Shuman WP, Green DE, Busey JM et al (2014) Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase. AJR Am J Roentgenol 203:601–606
De Cecco CN, Caruso D, Schoepf UJ et al (2018) A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions. Eur Radiol. https://doi.org/10.1007/s00330-018-5313-6
Yamada Y, Jinzaki M, Tanami Y, Abe T, Kuribayashi S (2012) Virtual monochromatic spectral imaging for the evaluation of hypovascular hepatic metastases: the optimal monochromatic level with fast kilovoltage switching dual-energy computed tomography. Invest Radiol 47:292–298
Sudarski S, Apfaltrer P, Nance JW Jr et al (2014) Objective and subjective image quality of liver parenchyma and hepatic metastases with virtual monoenergetic dual-source dual-energy CT reconstructions: an analysis in patients with gastrointestinal stromal tumor. Acad Radiol 21:514–522
Caruso D, De Cecco CN, Schoepf UJ et al (2017) Can dual-energy computed tomography improve visualization of hypoenhancing liver lesions in portal venous phase? Assessment of advanced image-based virtual monoenergetic images. Clin Imaging 41:118–124
Nagayama Y, Nakaura T, Oda S et al (2017) Dual-layer DECT for multiphasic hepatic CT with 50 percent iodine load: a matched-pair comparison with a 120 kVp protocol. Eur Radiol. https://doi.org/10.1007/s00330-017-5114-3
Kalisz K, Rassouli N, Dhanantwari A, Jordan D, Rajiah P (2018) Noise characteristics of virtual monoenergetic images from a novel detector-based spectral CT scanner. Eur J Radiol 98:118–125
Sellerer T, Noël PB, Patino M et al (2018) Dual-energy CT: a phantom comparison of different platforms for abdominal imaging. Eur Radiol. https://doi.org/10.1007/s00330-017-5238-5
Große Hokamp N, Höink AJ, Doerner J et al (2017) Assessment of arterially hyper-enhancing liver lesions using virtual monoenergetic images from spectral detector CT: phantom and patient experience. Abdom Radiol (NY). https://doi.org/10.1007/s00261-017-1411-1
Lee SM, Kim SH, Ahn SJ, Kang HJ, Kang JH, Han JK (2018) Virtual monoenergetic dual-layer, dual-energy CT enterography: optimization of keV settings and its added value for Crohn's disease. Eur Radiol 28:2525–2534
Christner JA, Braun NN, Jacobsen MC, Carter RE, Kofler JM, McCollough CH (2012) Size-specific dose estimates for adult patients at CT of the torso. Radiology 265:841–847
Husarik DB, Gordic S, Desbiolles L et al (2015) Advanced virtual monoenergetic computed tomography of hyperattenuating and hypoattenuating liver lesions: ex-vivo and patient experience in various body sizes. Invest Radiol 50:695–702
Jacobsen MC, Schellingerhout D, Wood CA et al (2018) Intermanufacturer comparison of dual-energy CT iodine quantification and monochromatic attenuation: a phantom study. Radiology 287:224–234
Doerner J, Wybranski C, Byrtus J et al (2017) Intra-individual comparison between abdominal virtual mono-energetic spectral and conventional images using a novel spectral detector CT. PLoS One 12:e0183759
Leng S, Yu L, Fletcher JG, McCollough CH (2015) Maximizing iodine contrast-to-noise ratios in abdominal CT imaging through use of energy domain noise reduction and virtual monoenergetic dual-energy CT. Radiology 276:562–570
Shuman WP, Chan KT, Busey JM et al (2014) Standard and reduced radiation dose liver CT images: adaptive statistical iterative reconstruction versus model-based iterative reconstruction-comparison of findings and image quality. Radiology 273:793–800
Onishi H, Murakami T, Kim T et al (2006) Hepatic metastases: detection with multi-detector row CT, SPIO-enhanced MR imaging, and both techniques combined. Radiology 239:131–138
De Cecco CN, Darnell A, Rengo M et al (2012) Dual-energy CT: oncologic applications. Am J Roentgenol 199:S98–S105
Wang Q, Shi G, Qi X, Fan X, Wang L (2014) Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization. Eur J Radiol 83:1759–1764
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The scientific guarantor of this publication is Yasuyuki Yamashita.
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• Retrospective
• Observational
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Nagayama, Y., Iyama, A., Oda, S. et al. Dual-layer dual-energy computed tomography for the assessment of hypovascular hepatic metastases: impact of closing k-edge on image quality and lesion detectability. Eur Radiol 29, 2837–2847 (2019). https://doi.org/10.1007/s00330-018-5789-0
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DOI: https://doi.org/10.1007/s00330-018-5789-0