Low-Dose Techniques in CT-guided Interventions

被引:74
|
作者
Sarti, Marc [1 ]
Brehmer, William P. [1 ]
Gay, Spencer B. [1 ]
机构
[1] Univ Virginia Hlth Syst, Dept Radiol & Med Imaging, Charlottesville, VA USA
关键词
PERCUTANEOUS BIOPSY; COMPUTED-TOMOGRAPHY; RADIATION-EXPOSURE; FLUOROSCOPY; CANCER;
D O I
10.1148/rg.324115072
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
Computed tomography (CT)-guided interventions such as biopsy, drainage, and ablation may be significant sources of radiation exposure in both patients and radiologists. Simple CT techniques to reduce radiation dose may be employed without increasing the procedure time or significantly degrading image quality. To develop low-dose protocols, it is important to understand the key concepts of delivered radiation dose to patients and physicians during CT-guided interventions. Patient dose estimates are easily followed and are provided at CT workstations. Familiarity with dose estimates, which are expressed as CT dose index and dose-length product, is also important. Methods to reduce radiation exposure in patients and physicians include performing proper preprocedure planning and paying careful attention to technique during the planning stage, making use of personal protective equipment, performing CT fluoroscopy intermittently instead of in real time, and optimizing needle visualization. Representative examples of these techniques have resulted in dose reductions of as much as 89%. Alternative imaging technologies that do not use ionizing radiation, such as virtual and ultrasonographic guidance, may also be used to reduce radiation dose. Understanding dose contribution strategies to reduce radiation dose provides a safer, more efficient environment for patients and the radiology team.
引用
收藏
页码:1109 / +
页数:12
相关论文
共 50 条
  • [31] A navigation system for minimally invasive CT-Guided interventions
    Nagel, M
    Schmidt, G
    Petzold, R
    Kalender, WA
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 2, 2005, 3750 : 33 - 40
  • [32] Is a CT-guided biopsys necessary for vertebral and articular interventions?
    Wittig, C
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2004, 176 (06): : 913 - 913
  • [33] Advancements and Future Outlook of PET/CT-Guided Interventions
    Dzaye, Omar
    Cornelis, Francois H.
    Kunin, Henry S.
    Sofocleous, Constantinos T.
    TECHNIQUES IN VASCULAR AND INTERVENTIONAL RADIOLOGY, 2023, 26 (03)
  • [34] Respiratory motion compensation for CT-guided interventions in the liver
    Maier-Hein, Lena
    Mueller, Sascha A.
    Pianka, Frank
    Woerz, Stefan
    Mueller-Stich, Beat P.
    Seitel, Alexander
    Rohr, Karl
    Meinzer, Hans-Peter
    Schmied, Bruno M.
    Wolf, Ivo
    COMPUTER AIDED SURGERY, 2008, 13 (03) : 125 - 138
  • [35] LOW-DOSE IN CT
    ZAKLAD, H
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1978, 2 (02) : 237 - 237
  • [36] Diagnostic value of procedural images in CT-guided interventions
    Khdhir, Mihran
    Ghosn, Youssef
    Akkawi, Abdul-Rahman
    Chahine, Reve
    Natout, Mustafa
    Muallem, Nadim
    EUROPEAN JOURNAL OF RADIOLOGY, 2022, 148
  • [37] Occupational Radiation Dose to Eye Lenses in CT-Guided Interventions Using MDCT-Fluoroscopy
    Inaba, Yohei
    Hitachi, Shin
    Watanuki, Munenori
    Chida, Koichi
    DIAGNOSTICS, 2021, 11 (04)
  • [38] Value of low-dose and optimized-length computed tomography(CT) scan in CT-guided percutaneous transthoracic needle biopsy of pulmonary nodules
    Hui Yuan
    Da Li
    Yan Zhang
    Xiaozhen Xie
    Lujun Shen
    Journal of Interventional Medicine, 2021, 4 (03) : 143 - 148
  • [39] Percutaneous low-dose CT-guided lung biopsy with an augmented reality navigation system: validation of the technique on 496 suspected lesions
    Faiella, Eliodoro
    Frauenfelder, Giulia
    Santucci, Domiziana
    Luppi, Giacomo
    Schena, Emiliano
    Zobel, Bruno Beomonte
    Grasso, Rosario Francesco
    CLINICAL IMAGING, 2018, 49 : 101 - 105
  • [40] Segmentation-guided Denoising Network for Low-dose CT Imaging
    Huang, Zhenxing
    Liu, Zhou
    He, Pin
    Ren, Ya
    Li, Shuluan
    Lei, Yuanyuan
    Luo, Dehong
    Liang, Dong
    Shao, Dan
    Hu, Zhanli
    Zhang, Na
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 227