期刊论文详细信息
Radiation Oncology
Radiotherapy treatment planning with contrast-enhanced computed tomography: feasibility of dual-energy virtual unenhanced imaging for improved dose calculations
Kazuhiko Ogawa1  Kenya Murase2  Takeshi Shimazu5  Masahiko Koizumi2  Ryota Ogihara3  Hirokazu Mizuno3  Toshiyuki Ogata4  Takashi Ueguchi6  Sachiko Yamada2 
[1] Department of Radiation Oncology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan;Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan;Department of Radiology, Osaka University Hospital, 2-15 Yamadaoka, Suita, Osaka 565-0871, Japan;Kobe Minimally Invasive Cancer Center, 8-5-1 Minatojima-nakamachi, Chuo-ku, Hyogo 650–0046, Kobe, Japan;Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan;Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan
关键词: Tin filter;    Dual-source CT;    CT number;    Tissue attenuation;    Iodine contrast agent;    Dose calculation;    Virtual unenhanced CT;    Dual-energy CT;    Radiotherapy treatment planning;   
Others  :  1131980
DOI  :  10.1186/1748-717X-9-168
 received in 2014-03-25, accepted in 2014-07-22,  发布年份 2014
PDF
【 摘 要 】

Background

In radiotherapy treatment planning, intravenous administration of an iodine-based contrast agent during computed tomography (CT) improves the accuracy of delineating target volumes. However, increased tissue attenuation resulting from the high atomic number of iodine may result in erroneous dose calculations because the contrast agent is absent during the actual procedure. The purpose of this proof-of-concept study was to present a novel framework to improve the accuracy of dose calculations using dual-energy virtual unenhanced CT in the presence of an iodine-based contrast agent.

Methods

Simple phantom experiments were designed to assess the feasibility of the proposed concept. By utilizing a “second-generation” dual-source CT scanner equipped with a tin filter for improved spectral separation, four CT datasets were obtained using both a water phantom and an iodine phantom: “true unenhanced” images with attenuation values of 2 ± 11 Hounsfield Units (HU), “enhanced” images with attenuation values of 274 ± 23 HU, and two series of “virtual unenhanced” images synthesized from dual-energy scans of the iodine phantom, each with a different combination of tube voltages. Two series of virtual unenhanced images demonstrated attenuation values of 12 ± 29 HU (with 80 kVp/140 kVp) and 34 ± 10 HU (with 100 kVp/140 kVp) after removing the iodine component from the contrast-enhanced images. Dose distributions of the single photon beams calculated from the enhanced images and two series of virtual unenhanced images were compared to those from true unenhanced images as a reference.

Results

The dose distributions obtained from both series of virtual unenhanced images were almost equivalent to that from the true unenhanced images, whereas the dose distribution obtained from the enhanced images indicated increased beam attenuation caused by the high attenuation characteristics of iodine. Compared to the reference dose distribution from the true unenhanced images, the dose distribution pass rates from both series of virtual unenhanced images were greater than 90%, while those from the enhanced images were less than approximately 50–60%.

Conclusions

Dual-energy virtual unenhanced CT improves the accuracy of dose distributions in radiotherapy treatment planning by removing the iodine component from contrast-enhanced images.

【 授权许可】

   
2014 Yamada et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150303140320826.pdf 2886KB PDF download
Figure 8. 85KB Image download
Figure 7. 101KB Image download
Figure 6. 98KB Image download
Figure 5. 60KB Image download
Figure 4. 61KB Image download
Figure 3. 36KB Image download
Figure 2. 30KB Image download
Figure 1. 36KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

【 参考文献 】
  • [1]Ramm U, Damrau M, Mose S, Manegold KH, Rahl CG, Böttcher HD: Influence of CT contrast agents on dose calculations in a 3D treatment planning system. Phys Med Biol 2001, 46:2631-2635.
  • [2]Liauw SL, Amdur RJ, Mendenhall WM, Palta J, Kim S: The effect of intravenous contrast on intensity-modulated radiation therapy dose calculations for head and neck cancer. Am J Clin Oncol 2005, 28:456-459.
  • [3]Lees J, Holloway L, Fuller M, Forstner D: Effect of intravenous contrast on treatment planning system dose calculations in the lung. Australas Phys Eng Sci Med 2005, 28:190-195.
  • [4]Weber DC, Rouzaud M, Miralbell R: Bladder opacification does not significantly influence dose distribution in conformal radiotherapy of prostate cancer. Radiother Oncol 2001, 59:95-97.
  • [5]Shibamoto Y, Naruse A, Fukuma H, Ayakawa S, Sugie C, Tomita N: Influence of contrast materials on dose calculation in radiotherapy planning using computed tomography for tumors at various anatomical regions: a prospective study. Radiother Oncol 2007, 84:52-55.
  • [6]Zabel-du Bois A, Ackermann B, Hauswald H, Schramm O, Sroka-Perez G, Huber P, Debus J, Milker-Zabel S: Influence of intravenous contrast agent on dose calculation in 3-D treatment planning for radiosurgery of cerebral arteriovenous malformations. Strahlenther Onkol 2009, 185:318-324.
  • [7]Wertz H, Jäkel O: Influence of iodine contrast agent on the range of ion beams for radiotherapy. Med Phys 2004, 31:767-773.
  • [8]Johnson TR, Krauß B, Sedlmair M, Grasruck M, Bruder H, Morhard D, Fink C, Weckbach S, Lenhard M, Schmidt B, Flohr T, Reiser MF, Becker CR: Material differentiation by dual energy CT: initial experience. Eur Radiol 2007, 17:1510-1517.
  • [9]Barrett T, Bowden DJ, Shaida N, Godfrey EM, Taylor A, Lomas DJ, Shaw AS: Virtual unenhanced second generation dual-source CT of the liver: is it time to discard the conventional unenhanced phase? Eur J Radiol 2012, 81:1438-1445.
  • [10]Toepker M, Moritz T, Krauss B, Weber M, Euller G, Mang T, Wolf F, Herold CJ, Ringl H: Virtual non-contrast in second-generation, dual-energy computed tomography: reliability of attenuation values. Eur J Radiol 2012, 81:e398-405.
  • [11]Sommer CM, Schwarzwaelder CB, Stiller W, Schindera ST, Stampfl U, Bellemann N, Holzschuh M, Schmidt J, Weitz J, Grenacher L, Kauczor HU, Radeleff BA: Iodine removal in intravenous dual-energy CT-cholangiography: is virtual non-enhanced imaging effective to replace true non-enhanced imaging? Eur J Radiol 2012, 81:692-699.
  • [12]Kawai T, Shibamoto Y, Hara M, Arakawa T, Nagai K, Ohashi K: Can dual-energy CT evaluate contrast enhancement of ground-glass attenuation? Phantom and preliminary clinical studies. Acad Radiol 2011, 18:682-689.
  • [13]Kawai T, Takeuchi M, Hara M, Ohashi K, Suzuki H, Yamada K, Sugimura Y, Shibamoto Y: Accuracy of iodine removal using dual-energy CT with or without a tin filter: an experimental phantom study. Acta Radiol 2013, 54:954-960.
  • [14]Kaufmann S, Sauter A, Spira D, Gatidis S, Ketelsen D, Heuschmid M, Claussen CD, Thomas C: Tin-filter enhanced dual-energy-CT: image quality and accuracy of CT numbers in virtual noncontrast imaging. Acad Radiol 2013, 20:596-603.
  • [15]De Cecco CN, Darnell A, Macías N, Ayuso JR, Rodríguez S, Rimola J, Pagés M, García-Criado Á, Rengo M, Laghi A, Ayuso C: Virtual unenhanced images of the abdomen with second-generation dual-source dual-energy computed tomography: image quality and liver lesion detection. Invest Radiol 2013, 48:1-9.
  • [16]Primak AN, Ramirez Giraldo JC, Liu X, Yu L, McCollough CH: Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. Med Phys 2009, 36:1359-1369.
  • [17]Primak AN, Giraldo JC, Eusemann CD, Schmidt B, Kantor B, Fletcher JG, McCollough CH: Dual-source dual-energy CT with additional tin filtration: dose and image quality evaluation in phantoms and in vivo. AJR Am J Roentgenol 2010, 195:1164-1174.
  • [18]Van Dyk J, Barnett RB, Cygler JE, Shragge PC: Commissioning and quality assurance of treatment planning computers. Int J Radiat Oncol Biol Phys 1993, 26:261-273.
  • [19]Ogata T, Ueguchi T, Yagi M, Yamada S, Tanaka C, Ogihara R, Isohashi F, Yoshioka Y, Tomiyama N, Ogawa K, Koizumi M: Feasibility and accuracy of relative electron density determined by virtual monochromatic CT value subtraction at two different energies using the gemstone spectral imaging. Radiat Oncol 2013, 8:83.
  • [20]Yagi M, Ueguchi T, Koizumi M, Ogata T, Yamada S, Takahashi Y, Sumida I, Akino Y, Konishi K, Isohashi F, Tomiyama N, Yoshioka Y, Ogawa K: Gemstone spectral imaging: determination of CT to ED conversion curves for radiotherapy treatment planning. J Appl Clin Med Phys 2013, 14:173-186.
  • [21]Saito M: Potential of dual-energy subtraction for converting CT numbers to electron density based on a single linear relationship. Med Phys 2012, 39:2021-2030.
  文献评价指标  
  下载次数:135次 浏览次数:25次