<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">IJMPCERO</journal-id><journal-title-group><journal-title>International Journal of Medical Physics, Clinical Engineering and Radiation Oncology</journal-title></journal-title-group><issn pub-type="epub">2168-5436</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ijmpcero.2018.72012</article-id><article-id pub-id-type="publisher-id">IJMPCERO-84343</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Experimental Evaluation of CT Number Changes in 320-Row CBCT Volume Scan for Proton Range Calculation
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ryuta</surname><given-names>Hirai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ryosuke</surname><given-names>Kohno</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yu</surname><given-names>Kumazaki</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tetsuo</surname><given-names>Akimoto</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hidetoshi</surname><given-names>Saitoh</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shingo</surname><given-names>Kato</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Division of Particle Therapy, National Cancer Center Hospital East, Chiba, Japan</addr-line></aff><aff id="aff2"><addr-line>The University of Texas, MD Anderson Cancer Center, Houston, TX, USA</addr-line></aff><aff id="aff5"><addr-line>Division of Radiological Sciences, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan</addr-line></aff><aff id="aff3"><addr-line>Department of Radiation Oncology, Saitama Medical University International Medical Center, Saitama, Japan</addr-line></aff><aff id="aff1"><addr-line>Department of Radiation Oncology, Saitama Medical University, Saitama, Japan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>rhirai@saitama-med.ac.jp(RH)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>15</day><month>03</month><year>2018</year></pub-date><volume>07</volume><issue>02</issue><fpage>141</fpage><lpage>150</lpage><history><date date-type="received"><day>26,</day>	<month>February</month>	<year>2018</year></date><date date-type="rev-recd"><day>1,</day>	<month>May</month>	<year>2018</year>	</date><date date-type="accepted"><day>4,</day>	<month>May</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  We investigated the longitudinal positional dependence of CT number in 320-row Cone Beam Computed Tomography (CBCT) volume scan (320-row volume scan) using a simple geometric phantom (SGP) and a chest simulation phantom (CSP) in order to evaluate its effect on proton range calculation. The SGP consisted of lung substitute material (LSM) and a cylindrical phantom (CP) made of high-density polyethylene. The CSP was an anthropomorphic phantom similar to the human chest. The two phantoms were scanned using 320-row volume scan in various longitudinal positions from the central beam axis. In experiments using the SGP, an image blur at the boundary of the two materials became gradually evident when the LSM was placed far away from the beam central axis. The image blur of the phantom was consistent with the gradation in CT number. The maximum difference in CT numbers between the 64-row helical scan and 320-row volume scan at the boundary of the two materials was consistent with approximately 50% of the relative proton stopping power. In contrast, the CT number profile in each longitudinal position was fairly consistent and longitudinal positional dependence rarely occurred in the CSP experiments. Pass lengths of CT beams through areas with widely different electron densities were shorter, and thus did not significantly impact CT numbers. Based on findings from the CSP experiments, we considered 320-row volume scan to be feasible for proton range calculation in clinical settings, although the relatively large longitudinal positional dependence of CT number should be accounted for when doing so.
 
</p></abstract><kwd-group><kwd>320-Row CBCT Volume Scan</kwd><kwd> CT Number</kwd><kwd> Proton Range</kwd><kwd> Relative Stopping Power</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>320-row Cone Beam Computed Tomography (CBCT) volume scan (320-row volume scan) has 320 detector rows in the longitudinal direction, which enables a scan with a width of 16 cm (&#177;8 cm from the beam central axis) at 0.275 s/rotation. This method offers high time-resolution, because temporal errors can be minimized. Diagnostically, 320-row volume scan has been used for various types of imaging such as coronary CT angiography and myocardial blood flow assessments [<xref ref-type="bibr" rid="scirp.84343-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref2">2</xref>] .<sup> </sup></p><p>320-row volume scan may also be useful in the field of radiation therapy. Some studies have reported on 4D photon and proton treatment planning using helical or conventional 4DCT images [<xref ref-type="bibr" rid="scirp.84343-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref5">5</xref>] . In general, 16 to 64-row CT helical scan is used for photon/proton treatment planning, but 320-row volume scan is rarely used. Indeed, only a few studies have reported on the use of 320-row volume scan for motion assessment of a moving target in radiation therapy planning [<xref ref-type="bibr" rid="scirp.84343-ref6">6</xref>] . To the best of our knowledge, no report has used 320-row volume scan for dose calculations. 320-row volume scan has the potential to obtain more accurate 4DCT images than helical or conventional CT, and may be useful in 4D proton treatment planning.</p><p>However, since 320-row volume scan has certain characteristics that differ from helical and conventional scans, its effects on CT number must be examined prior to clinical use. For instance, the imaging range per rotation in 320-row volume scan is wider than that for helical or conventional 4DCT, because the detector rows increase longitudinally. As X-ray intensity on the cathode side differs from that on the anode side of the X-ray tube, changes in CT number in the longitudinal position may occur due to this heel effect [<xref ref-type="bibr" rid="scirp.84343-ref7">7</xref>] . In addition, the large cone angle of 320-row volume scan may affect the CT image, especially in areas distant from the beam central axis. These factors may cause inaccurate image reconstruction [<xref ref-type="bibr" rid="scirp.84343-ref8">8</xref>] . Therefore, a thorough evaluation of the feasibility of 320-row volume scan for clinical use in proton treatment planning is warranted.</p><p>For proton beam therapy, changes in relative proton stopping power due to changes in CT number may affect proton range because CT number is converted to relative proton stopping power in order to calculate proton range, which is important for calculating proton dose [<xref ref-type="bibr" rid="scirp.84343-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref12">12</xref>] . Therefore, in this study, we investigated the longitudinal positional dependence of CT number in 320-row volume scan using two types of phantoms in order to evaluate its effects on proton range calculation.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Simple Geometric Phantom Experiment</title><p>A simple geometric phantom (SGP) was prepared to compare CT number profiles for 320-row volume scan and 64-row helical scan as the reference. The inspiratory phase of the lung substitute material (LSM) (LN-300: Gammex, FL, USA) was inserted into a cylindrical phantom (CP) made of high-density polyethylene (Niporon Hard<sup>&#174;</sup>: Tosoh, Tokyo, Japan) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The longitudinal edge position of the LSM was changed from 3 cm to 7 cm superior to the beam central axis in 1-cm increments (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>This study used CT equipment (Aquilion ONE<sup>TM</sup>: Toshiba Medical Systems, Tochigi, Japan) and scanned the phantom with two scan modes, including a volume scan using a 320-row detector and a helical scan using a 64-row detector by static scans. Scan conditions for both were 120 kV, 500 mA, 0.5 s exposure time per rotation, and 0.5 mm slice thickness. Circular regions of interest (ROI) (1 cm in diameter) were placed at the center of the phantom in all CT slices. CT number profiles of the ROI were measured longitudinally in each phantom position as mentioned above. Longitudinal positional dependence of CT numbers</p><p>was compared between 64-row helical scan and 320-row volume scan.</p></sec><sec id="s2_2"><title>2.2. Chest Simulation Phantom Experiment</title><p>A chest simulation phantom (CSP) (Lung Man: Kyoto Kagaku, Kyoto, Japan) was used to compare CT number profiles of the two scan modes. The phantom was made of polyurethane for the soft tissue and epoxy for the skeleton (<xref ref-type="fig" rid="fig3">Figure 3</xref>) and measured 430 mm in width, 480 mm in height, and 940 mm in chest circumference. The simulated tumor (1 cm in diameter) (Tough Water: Kyoto Kagaku, Kyoto, Japan) was inserted in an arbitrary position of the CSP lung field.</p><p>The phantom was first scanned using 64-row helical scan to obtain reference data by static scan. Second, 320-row volume scan was performed with the beam central axis at the center of the simulated tumor. Following this, other volume scans were performed with the phantom position offset at 6 cm superior or inferior from the beam central axis. The ROI was placed in the slice at the center of the simulated tumor (<xref ref-type="fig" rid="fig4">Figure 4</xref>). CT number profiles of the ROI were measured, and differences in CT numbers were calculated for the helical scan versus volume scan of each position.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Simple Geometric Phantom Experiment</title><p>Sagittal CT images of each scan condition are shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>. The image blur at the boundary between the CP and the LSM became gradually evident, when the position of the CP moved far away from the beam central axis. A streak-like artifact was also observed at the edge of the LSM.</p><p>CT numbers of the ROI changed from approximately −80 Hounsfield Units (HU) to approximately −750 HU, when the CT slice position was changed from the CP to the LSM. CT number profiles obtained at the edge of the LSM are shown in <xref ref-type="fig" rid="fig6">Figure 6</xref>. The image blur of the phantom was consistent with the</p><p>gradual change in CT number, and the blur length was approximately 3.5 mm in 320-row volume scan, when the edge of the LSM was placed 3 cm superior from the beam central axis. When the edge positions were 4 cm, 5 cm, 6 cm, and 7 cm from the beam center, the corresponding blur lengths were 5 mm, 5.5 mm, 6 mm, and 7 mm, respectively. Maximum differences in CT numbers between 64-row helical scan and 320-row volume scan at each phantom position are presented in <xref ref-type="table" rid="table1">Table 1</xref>. These differences ranged from approximately 160 HU to approximately 260 HU.</p></sec><sec id="s3_2"><title>3.2. Chest Simulation Phantom Experiment</title><p>CT number profiles obtained using either 64-row helical scan or 320-row volume scan were fairly consistent across all conditions (<xref ref-type="fig" rid="fig7">Figure 7</xref>). Mean values for the differences in CT numbers ranged from 2.5 - 5.2 HU. The number of voxels in which the differences in CT numbers exceeded 100 HU was 16 voxels/364 voxels (4.4%) in the profile.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>In this study, we investigated the longitudinal positional dependence of CT number in 320-row volume scan using two phantoms. In experiments using the SGP, the image blur at the boundary of the two materials became gradually</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Maximum differences in CT numbers between 64-row helical scan and 320-row volume scan (HU)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >3 cm-helical</th><th align="center" valign="middle" >4 cm-helical</th><th align="center" valign="middle" >5 cm-helical</th><th align="center" valign="middle" >6 cm-helical</th><th align="center" valign="middle" >7 cm-helical</th></tr></thead><tr><td align="center" valign="middle" >163.3</td><td align="center" valign="middle" >227.5</td><td align="center" valign="middle" >231.8</td><td align="center" valign="middle" >250.1</td><td align="center" valign="middle" >259.9</td></tr></tbody></table></table-wrap><p>evident, when the position of the LSM was placed far away from the beam central axis with 320-row volume scan. The image blur of the phantom was consistent with the gradation in CT number (<xref ref-type="fig" rid="fig6">Figure 6</xref>).</p><p>The image blur can be explained as the partial volume effect of CT imaging. Generally speaking, the cone angle of 320-row CBCT is larger than that of conventional CT equipment. The incident beam angle of 320-row volume scan ranged from approximately 2.9 - 6.7 degrees, when the edge of the LSM was placed 3 - 7 cm longitudinally from the beam center. Oblique beams coming in through the LSM and the CP could produce the partial volume effect between the two materials of different electron densities. As a result, we consider that changes in CT number at the boundary of the two materials could not be precisely expressed. The maximum width of the image blur was 7 mm and the maximum difference in CT numbers between 64-row helical scan and 320-row volume scan was approximately 260 HU at the boundary of the two materials (<xref ref-type="fig" rid="fig6">Figure 6</xref>, <xref ref-type="table" rid="table1">Table 1</xref>). We converted CT number to relative proton stopping power for 235 MeV proton beams using the polybinary calibration method based on the stoichiometric calibration method [<xref ref-type="bibr" rid="scirp.84343-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.84343-ref11">11</xref>] . This difference is consistent with approximately 50% of the relative proton stopping power for this condition, which could affect proton range. In addition, the image blur and streak-like artifact may affect delineation of the target volume and organs at risk in treatment planning.</p><p>In experiments using the CSP, CT number profiles obtained using either 64-row helical scan or 320-row volume scan were fairly consistent across all conditions (<xref ref-type="fig" rid="fig7">Figure 7</xref>). CT numbers of the two scan modes were fairly comparable even when 320-row volume scans were performed with the phantom position offset at 6 cm superior or inferior to the beam central axis. The CSP had relatively fine geometry, and we observed shorter pass lengths for the CT beam through areas with widely different electron densities. For this reason, we consider the partial volume effect to not have significantly impacted CT numbers in 320-row volume scan. However, the component placed in the phantom was relatively small. When a larger component is used, the pass length of the CT beam may be longer, and the image blur could become more evident.</p><p>The number of voxels in which the differences in CT numbers was &gt;100 HU comprised only 4.4%, and the mean differences in CT numbers between the two scan modes ranged from 2.5 - 5.2 HU in experiments using the CSP. The mean difference in CT number of 5.2 HU is generally consistent with approximately 1.8% of the proton range for the inspiratory phase of the lung, 1.1% for the expiratory phase of the lung, 0.3% for water, and 0.1% for cortical bone for 235 MeV proton beams. When proton beams pass through 5 cm of the inspiratory phase of the lung as they approach the target, a range error of approximately 0.9 mm occurs. This uncertainty in proton range is considered negligible when compared with other factors that induce changes in proton range [<xref ref-type="bibr" rid="scirp.84343-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.84343-ref19">19</xref>] . As a result, we consider the changes in CT number when using 320-row volume scan to minimally affect proton range. However, the relatively large longitudinal positional dependence of CT number should be considered.</p><p>This study has a limitation regarding proton dose calculations. Given the difficulty of proton dose measurements in a heterogeneous medium, we did not conduct a dosimetric study. Further investigation will be needed to achieve accurate proton dose measurements.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The uncertainty in proton range caused by the longitudinal positional dependence of CT number in 320-row volume scan is considered negligible. Our findings from experiments using an anthropomorphic phantom suggest that the influence of 320-row volume scan on proton range calculation in the clinical setting is minimal.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors thank Tomoaki Tamaki (Department of Radiation Oncology, School of Medicine, Fukushima Medical University) for his assistance.</p></sec><sec id="s7"><title>Funding</title><p>This work was supported in part by a grant from Toshiba Medical Systems.</p></sec><sec id="s8"><title>Cite this paper</title><p>Hirai, R., Kohno, R., Kumazaki, Y., Akimoto, T., Saitoh, H. and Kato, S. (2018) Experimental Evaluation of CT Number Changes in 320-Row CBCT Volume Scan for Proton Range Calculation. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 7, 141-150. https://doi.org/10.4236/ijmpcero.2018.72012</p></sec></body><back><ref-list><title>References</title><ref id="scirp.84343-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Tomizawa, N., Kanno, S., Maeda, E., Akahane, M., Torigoe, R. and Ohtomo, K. (2014) Minimizing the Acquisition Phase in Coronary CT Angiography Using the Second Generation 320-Row CT. Japanese Journal of Radiology, 32, 391-396. https://doi.org/10.1007/s11604-014-0321-1</mixed-citation></ref><ref id="scirp.84343-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kikuchi, Y., Oyama-Manabe, N., Naya, M., Manabe, O., Tomiyama, Y., Sasaki, T., Katoh, C., Kudo, K., Tamaki, N. and Shirato, H. (2014) Quantification of Myocardial Blood Flow Using Dynamic 320-Row Multi-Detector CT as Compared with 15O-H2O PET. 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