A Third-Generation Adaptive Statistical Iterative Reconstruction for Contrast-Enhanced 4-Dimensional Dual-Energy Computed Tomography for Pancreatic Cancer.
Journal
Journal of computer assisted tomography
ISSN: 1532-3145
Titre abrégé: J Comput Assist Tomogr
Pays: United States
ID NLM: 7703942
Informations de publication
Date de publication:
Historique:
pubmed:
19
11
2019
medline:
29
1
2021
entrez:
19
11
2019
Statut:
ppublish
Résumé
The objective of this study was to assess the objective and subjective qualities of the contrast-enhanced 4-dimensional dual-energy computed tomography using adaptive statistical iterative reconstruction (ASiR) and ASiR-V. The virtual monochromatic images at 60 keV were reconstructed using filtered back projection, ASiR, and ASiR-V (10%-100%) for 14 patients with pancreatic cancer. The contrast-to-noise ratio (CNR) was calculated, and the subjective measurements were compared based on a 5-point score scale. The ASiR-V yielded a significantly higher CNR than ASiR (P < 0.05). The subjective image quality (peak) was significantly improved (P < 0.01) with ASiR (50%) (3.8, 3.5, and 4.0; overall image quality, tumor delineation, and noise, respectively) and with ASiR-V (50%) (3.9, 3.5, and 4.2, respectively) compared with the filtered back projection (3.2, 3.2, and 3.0, respectively). The ASiR-V yielded higher CNR than ASiR and provided the highest subjective scores regarding the overall image quality.
Identifiants
pubmed: 31738200
pii: 00004728-202101000-00005
doi: 10.1097/RCT.0000000000000942
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
18-23Informations de copyright
Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
Références
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 Cancer J Clin. 2018;394–424. doi:10.3322/caac.21492.
Chung SY, Chang JS, Lee BM, et al. Dose escalation in locally advanced pancreatic cancer patients receiving chemoradiotherapy. Radiother Oncol. 2017;123:438–445.
Passoni P, Reni M, Cattaneo GM, et al. Hypofractionated image-guided IMRT in advanced pancreatic cancer with simultaneous integrated boost to infiltrated vessels concomitant with capecitabine: a Phase I study. Int J Radiat Oncol Biol Phys. 2013;87:1000–1006.
Shinoto M, Yamada S, Terashima K, et al. Carbon ion radiation therapy with concurrent gemcitabine for patients with locally advanced pancreatic cancer. Int J Radiat Oncol Biol Phys. 2016;95:498–504.
Hirata T, Teshima T, Nishiyama K, et al. Histopathological effects of preoperative chemoradiotherapy for pancreatic cancer: an analysis for the impact of radiation and gemcitabine doses. Radiother Oncol. 2015;114:122–127.
Takahashi S, Anada M, Kinoshita T, et al. Differences in gross tumor volumes for pancreatic cancer: a comparison of ungated positron emission tomography and contrast-enhanced four-dimensional computed tomography. Jpn J Radiol. 2019;37:336–340.
Takahashi S, Anada M, Kinoshita T, et al. Respiratory motion of lymph node stations in pancreatic cancer: analyses using contrast-enhanced four-dimensional computed tomography. Radiother Oncol. 2018;128:569–574.
Ohira S, Wada K, Hirata T, et al. Clinical implementation of contrast-enhanced four-dimensional dual-energy computed tomography for target delineation of pancreatic cancer. Radiother Oncol. 2018;129:105–111.
Gupta S, Wagner-Bartak N, Jensen CT, et al. Dual-energy CT of pancreatic adenocarcinoma: reproducibility of primary tumor measurements and assessment of tumor conspicuity and margin sharpness. Abdom Radiol (NY). 2016;41:1317–1324.
Ohira S, Karino T, Ueda Y, et al. How well does dual-energy CT with fast kilovoltage switching quantify CT number and iodine and calcium concentrations? Acad Radiol. 2018;25:519–528.
Argaud C. ASiR: a new reconstruction technique to lower dose without compromise. GE Healthcare White Paper. Available at: https://www.gehealthcare.com/-/media/83ab71ca5f7d47abbe6ee291bf5d186a.pdf. Accessed July 9, 2019.
Yan C, Xu J, Liang C, et al. Radiation dose reduction by using CT with iterative model reconstruction in patients with pulmonary invasive fungal infection. Radiology. 2018;288:285–292.
Chen D, Zhou J, Wang P, et al. Low-tube-voltage combined with adaptive statistical iterative reconstruction-V technique in CT venography of lower limb deep vein thrombosis. Sci Rep. 2018;8:11174.
Geyer LL, Schoepf UJ, Meinel FG, et al. State of the art: iterative CT reconstruction techniques. Radiology. 2015;276:339–357.
Euler A, Solomon J, Marin D, et al. A Third-generation adaptive statistical iterative reconstruction technique: phantom study of image noise, spatial resolution, lesion detectability, and dose reduction potential. AJR Am J Roentgenol. 2018;210:1301–1308.
De Marco P, Origgi D. New adaptive statistical iterative reconstruction ASiR-V: assessment of noise performance in comparison to ASiR. J Appl Clin Med Phys. 2018;19:275–286.
Kundel HL, Polansky M. Measurement of observer agreement. Radiology. 2003;228:303–308.
Kwon H, Cho J, Oh J, et al. The adaptive statistical iterative reconstruction-V technique for radiation dose reduction in abdominal CT: comparison with the adaptive statistical iterative reconstruction technique. Br J Radiol. 2015;88:20150463.
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. Am J Neuroradiol. 2015;36:1518–1524.
Shuman WP, Green DE, Busey JM, et al. Dual-energy liver CT: effect of monochromatic imaging on lesion detection, conspicuity, and contrast-to-noise ratio of hypervascular lesions on late arterial phase. Am J Roentgenol. 2014;203:601–606.
Frellesen C, Fessler F, Hardie AD, et al. Dual-energy CT of the pancreas: improved carcinoma-to-pancreas contrast with a noise-optimized monoenergetic reconstruction algorithm. Eur J Radiol. 2015;84:2052–2058.
Kim HG, Lee H, Lee SK, et al. Head CT: image quality improvement with ASIR-V using a reduced radiation dose protocol for children. Eur Radiol. 2017;27:3609–3617.
Chen LH, Jin C, Li JY, et al. Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT. Br J Radiol. 2018;91:20170655.
Katsura M, Sato J, Akahane M, et al. Comparison of pure and hybrid iterative reconstruction techniques with conventional filtered back projection: Image quality assessment in the cervicothoracic region. Eur J Radiol. 2013;82:356–360.
Johnson TR. Dual-energy CT: general principles. AJR Am J Roentgenol. 2012;199(suppl 5):S3–S8.
Otani Y, Fukuda I, Tsukamoto N, et al. A comparison of the respiratory signals acquired by different respiratory monitoring systems used in respiratory gated radiotherapy. Med Phys. 2010;37:6178–6186.