Quantitative and Qualitative Comparison of Single-Source Dual-Energy Computed Tomography and 120-kVp Computed Tomography for the Assessment of Pancreatic Ductal Adenocarcinoma

被引:47
|
作者
Bhosale, Priya [1 ]
Le, Ott [1 ]
Balachandran, Aprana [1 ]
Fox, Patricia [2 ]
Paulson, Eric [1 ]
Tamm, Eric [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Diagnost Radiol, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
关键词
pancreatic ductal adenocarcinoma; 120; kVp; DECT; CNR and SNR; SPECTRAL MULTIDETECTOR CT; LOW TUBE VOLTAGE; CONTRAST ENHANCEMENT; SECONDARY SIGNS; IMAGE QUALITY; DIAGNOSIS; MDCT;
D O I
10.1097/RCT.0000000000000295
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose The aim of this study was to compare contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) between pancreatic-phase dual-energy computed tomography (DECT) and 120-kVp CT for pancreatic ductal adenocarcinoma (PDA). Materials and Methods Seventy-eight patients underwent multiphasic pancreatic imaging protocols for PDA (40, DECT; 38, 120-kVp CT [control]). Using pancreatic phase, CNR and SNR for PDA were obtained for DECT at monochromatic energies 50 through 80 keV, iodine material density images, and 120-kVp images. Using a 5-point scale (1, excellent; 5, markedly limited), images were qualitatively assessed by 2 radiologists in consensus for PDA detection, extension, vascular involvement, and noise. Wilcoxon signed rank and 2-sample tests were used to compare the qualitative measures, CNR and SNR, for DECT and 120-kVp images. Bonferroni correction was applied. Results Iodine material density image had significantly higher CNR and SNR for PDA than any monochromatic energy images (P < 0.0001) and the 120-kVp images. Qualitatively, 70-keV images were rated highest in the categories of tumor extension and vascular invasion and were similar to 120-kVp images. Conclusions Our results indicate that DECT improves PDA lesion conspicuity compared with routine 120-kVp CT, which may allow for better detection of PDA.
引用
收藏
页码:907 / 913
页数:7
相关论文
共 50 条
  • [31] Quantitative Computed Tomography Analysis Identifies Biophysical Subtypes of Pancreatic Ductal Adenocarcinoma
    Lee, Y.
    Cristini, V.
    Varadhachary, G. R.
    Katz, M.
    Wang, H.
    Bhosale, P.
    Tamm, E. P.
    Fleming, J. B.
    Koay, E. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : E199 - E199
  • [32] Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis
    Attiyeh, Marc A.
    Chakraborty, Jayasree
    Doussot, Alexandre
    Langdon-Embry, Liana
    Mainarich, Shiana
    Gonen, Mithat
    Balachandran, Vinod P.
    D'Angelica, Michael I.
    DeMatteo, Ronald P.
    Jarnagin, William R.
    Kingham, T. Peter
    Allen, Peter J.
    Simpson, Amber L.
    Do, Richard K.
    ANNALS OF SURGICAL ONCOLOGY, 2018, 25 (04) : 1034 - 1042
  • [33] Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis
    Marc A. Attiyeh
    Jayasree Chakraborty
    Alexandre Doussot
    Liana Langdon-Embry
    Shiana Mainarich
    Mithat Gönen
    Vinod P. Balachandran
    Michael I. D’Angelica
    Ronald P. DeMatteo
    William R. Jarnagin
    T. Peter Kingham
    Peter J. Allen
    Amber L. Simpson
    Richard K. Do
    Annals of Surgical Oncology, 2018, 25 : 1034 - 1042
  • [34] Correlation of Quantitative Dual-Energy Computed Tomography Iodine Maps and Abdominal Computed Tomography Perfusion Measurements Are Single-Acquisition Dual-Energy Computed Tomography Iodine Maps More Than a Reduced-Dose Surrogate of Conventional Computed Tomography Perfusion?
    Stiller, Wolfram
    Skornitzke, Stephan
    Fritz, Franziska
    Klauss, Miriam
    Hansen, Jens
    Pahn, Gregor
    Grenacher, Lars
    Kauczor, Hans-Ulrich
    INVESTIGATIVE RADIOLOGY, 2015, 50 (10) : 703 - 708
  • [35] Impact of monochromatic coronary computed tomography angiography from single-source dual-energy CT on coronary stenosis quantification
    Stehli, Julia
    Clerc, Olivier F.
    Fuchs, Tobias A.
    Possner, Mathias
    Graeni, Christoph
    Benz, Dominik C.
    Buechel, Ronny R.
    Kaufmann, Philipp A.
    JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2016, 10 (02) : 135 - 140
  • [36] Diagnostic value of single-source dual-energy spectral computed tomography in differentiating parotid gland tumors: initial results
    Li, Lin
    Zhao, Yanfeng
    Luo, Dehong
    Yang, Liang
    Hu, Lei
    Zhao, Xinming
    Wang, Yong
    Liu, Wensheng
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2018, 8 (06) : 588 - 596
  • [37] Detection and Characterization of Crystal Suspensions Using Single-Source Dual-Energy Computed Tomography A Phantom Model of Crystal Arthropathies
    Diekhoff, Torsten
    Kiefer, Tobias
    Stroux, Andrea
    Pilhofer, Irid
    Juran, Ralf
    Mews, Juergen
    Blobel, Joerg
    Tsuyuki, Masaharu
    Ackermann, Beate
    Hamm, Bernd
    Hermann, Kay-Geert A.
    INVESTIGATIVE RADIOLOGY, 2015, 50 (04) : 255 - 260
  • [38] The role of dual-energy computed tomography in the assessment of pulmonary function
    Hwang, Hye Jeon
    Hoffman, Eric A.
    Lee, Chang Hyun
    Goo, Jin Mo
    Levin, David L.
    Kauczor, Hans-Ulrich
    Seo, Joon Beom
    EUROPEAN JOURNAL OF RADIOLOGY, 2017, 86 : 320 - 334
  • [39] Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters
    Wen, Youjia
    Song, Zuhua
    Li, Qian
    Zhang, Dan
    Li, Xiaojiao
    Yu, Jiayi
    Li, Zongwen
    Ren, Xiaofang
    Zhang, Jiayan
    Liu, Qian
    Huang, Jie
    Zeng, Dan
    Tang, Zhuoyue
    INSIGHTS INTO IMAGING, 2024, 15 (01)
  • [40] Quantitative Analysis of a Whole Cardiac Mass Using Dual-Energy Computed Tomography: Comparison with Conventional Computed Tomography and Magnetic Resonance Imaging
    Hong, Yoo Jin
    Hur, Jin
    Han, Kyunghwa
    Im, Dong Jin
    Suh, Young Joo
    Lee, Hye-Jeong
    Kim, Young Jin
    Choi, Byoung Wook
    SCIENTIFIC REPORTS, 2018, 8