Plan Quality Comparisons Between Three-dimensional Conformal Radiotherapy, Intensity-modulated Radiotherapy, and Volumetric Modulated Arc Therapy Based on Four-dimensional Computed Tomography for Gastric Mucosa-associated Lymphoid Tissue Lymphoma: a Planning Study

DOI: https://doi.org/10.21203/rs.3.rs-272926/v1

Abstract

Background: Previous planning studies in radiotherapy (RT) for gastric mucosa-associated lymphoid tissue (MALT) lymphoma have been based on three-dimensional computed tomography (3D-CT) images, which do not contain information on the respiratory motion of the stomach. Therefore, we compared the plan quality between 3D conformal radiotherapy (3D-CRT), intensity-modulated radiotherapy (IMRT), and volumetric modulated arc therapy (VMAT) for gastric MALT lymphoma using four-dimensional computed tomography (4D-CT).

Methods: Three different treatment plans of four-field 3D-CRT, seven-field IMRT, and double arc VMAT were created based on 4D-CT images of seven patients with gastric MALT lymphoma. An RT dose of 30 Gy was prescribed to the planning target volume (PTV) in 20 fractions. We calculated the minimum dose coverage for 95% of the PTV (D95), homogeneity index (HI), and conformity index (CI) of the PTV, and organs at risk (OARs) doses for the liver, kidneys, spinal cord, and small bowel. Plan quality metric (PQM) scores were also calculated for a comprehensive and objective assessment.

Results: There was no significant difference among the three plans in D95 of PTV. HI of PTV for the IMRT plan was significantly better than that of the VMAT (p = 0.047) and 3D-CRT (p = 0.047) plans. HI of PTV for the VMAT plan was significantly better than that of the 3D-CRT plan (p = 0.047). CIs of PTV for the IMRT and VMAT plans were significantly better than that of the 3D-CRT plan (p = 0.047 and p = 0.047, respectively). Dmean of the liver for 3D-CRT was significantly higher than that for the IMRT (p = 0.047) and VMAT (p = 0.047) plans. The PQM scores of the VMAT and IMRT plans were significantly higher than that of the 3D-CRT plan (p = 0.047 and p = 0.047, respectively). The PQM score of the IMRT plan was significantly higher than that of the VMAT plan (p = 0.047).

Conclusions: The IMRT plan yields the best plan quality for gastric MALT lymphoma. In terms of plan quality, as opposed to the 3D-CRT plan, we recommend the IMRT and VMAT plans.

Background

Gastric mucosa-associated lymphoid tissue (MALT) lymphoma is an indolent B-cell lymphoma, which can arise in almost all organs. The stomach is the most frequent site, and most gastric MALT lymphoma cases are localized to stomach. Stage IE accounts for 70–80% of all gastric MALT lymphoma cases [1]. Radiotherapy (RT) is a curative treatment for localized gastric MALT lymphoma and is particularly in persisting cases or those with relapse after helicobacter pylori (HP) eradication when HP is negative. National Comprehensive Cancer Network (NCCN) guidelines recommend an RT dose of 30 Gy in 20 fractions for the treatment of this condition [2].

The target volume for gastric MALT lymphoma is very large. Clinical target volume (CTV) is defined as the gross tumor volume (GTV) plus whole stomach volume, outlined from the gastroesophageal junction to beyond the duodenal bulb. Furthermore, an additional margin is required to cover variations in stomach size and shape, respiratory motion, and set-up errors [3]. As patients with gastric MALT lymphoma have a long-term prognosis, with an approximate 10-year overall survival of 90% [4]. Therefore, late adverse events from RT should be avoided.

The goal of RT for gastric MALT lymphoma is to deliver a sufficient dose to the large target volume while avoiding the organs at risk (OARs), such as the kidneys and the liver. Two-dimensional RT (2D-RT) and three-dimensional conformal RT (3D-CRT) have been traditionally used for the treatment of gastric MALT lymphoma [5]. In this decade, the use of intensity-modulated radiotherapy (IMRT) has been increasing for the treatment of abdominal tumors [6, 7]. IMRT can provide the desired intensity modulation by using several gantry angles and dividing each radiation beam into numerous beamlets whose intensities are adjusted individually [8]. More recently, volumetric modulated arc therapy (VMAT) has been introduced for the treatment of various tumors [9]. VMAT can provide the full range of beams by gantry rotation, and change the parameters of dose rate, field shape, and speed of gantry rotation as the beam is rotated [8]. Some groups performed a planning study and reported that these state-of-the-art RT techniques provide a better dose distribution for gastric MALT lymphoma than that provided by 2D and 3D-CRT [5, 10]. However, they performed planning and evaluated plans based on three-dimensional computed tomography (3D-CT) images, which do not contain the information of the respiratory motion, which changes not only the position, but also the shape and volume of the stomach [11, 12]. Another group compared 3D-CRT, IMRT, and VMAT under the deep-inspiration breath hold (DIBH) technique and suggested the dosimetric superiority of IMRT and VMAT over 3D-CRT [13]. However, DIBH can only be performed in a limited number of institutions.

Four-dimensional computed tomography (4D-CT) images, which provide information on the variability of respiratory motion, have been introduced into RT planning. Jang et al. compared the target volume, volume of OARs, and dose distribution of 3D-RT and 4D-CT images from 18 patients with gastric MALT lymphoma [14]. They reported that the target volume and volume of the liver and kidneys, contoured using free-breathing 3D-CT images, were significantly smaller than those contoured using 4D-CT. The reason for this was that the respiratory motion of the target volume and OARs is not reflected into free-breathing 3D-CT images. They also found that 3D-CT image-based planning may result in inadequate dose coverage of the target volume and OAR dose underestimation. The International Lymphoma Radiation Oncology Group recommends determining the target volume by 4D-CT or by fluoroscopy, to track variations in stomach position during respiration [3]. However, to our knowledge, the plan quality of modern treatment techniques has not been evaluated and compared based on 4D-CT images.

The purpose of this study was to evaluate and compare the quality of 3D-CRT, IMRT, and VMAT plans for gastric MALT lymphoma patients based on 4D-CT images.

Methods

Patients

This retrospective study was approved by the institutional research ethics board of our hospital. All patients were enrolled with prior written informed consent to treatment and the use of image data. We used 4D-CT images of seven patients with stage IE gastric MALT lymphoma who received RT at our institution between February 2019 and June 2020.

CT simulation procedures

To minimize variations in stomach volume, patients were instructed to fast for at least eight hours before planning simulation. They underwent CT simulation by using a Discovery RT CT scanner (GE Healthcare, Chicago, IL) in the supine position with their arms raised. 4D-CT scan was performed using a Smart Deviceless 4D application with the parameters of 120 kV, 70 mA, a gantry rotation time of 0.5 s, a slice thickness of 2.5 mm, and cine mode [15]. The cine durations were set to the respiratory cycles plus the gantry rotation time, and the cine images were sorted into 10 respiratory phases by a phase-binning algorithm. The average intensity projection (AIP) of CT images was generated from projection data of all respiratory phases. All CT images were exported to the treatment planning system (Eclipse, Version 15.6; Varian Medical Systems, Palo Alto, CA) and registered by the hardware arrangement.

Definition of target volumes and OARs

Two radiation oncologists with an experience of 5 and 17 years defined the target volumes and OARs, after reaching a consensus according to the Radiation Therapy Oncology Group contouring atlases [16]. In all patients, GTV was identified based on the endoscopic examination findings, and we confirmed that GTV was contained within the whole stomach. The CTV was defined as the whole stomach, which was delineated on the AIP CT image data sets using fused 4D-CT images to cover stomach of all 10 respiratory phases (CTV-4D) [15]. A margin of 10 mm, which included intra- and inter-fractional variations in stomach volume, respiratory movement, and patient set-up, was added to CTV-4D for generating the planning target volume (PTV) [3, 17]. OARs defined as the kidneys, liver, small bowel, and spinal cord were also delineated on the AIP CT images [15].

Treatment planning procedures

3D-CRT, IMRT, and VMAT plans were generated based on AIP CT images. The 3D-CRT plan consisted of four beams (gantry angles of 0°, 90°, 180°, and 270°) with 15-MV X-ray. Multileaf collimator apertures were created, encompassing the PTV with a 5 mm margin in all directions. The IMRT plan using sliding window technique consisted of seven beams (gantry angles of 24°, 75°, 126°, 177°, 231°, 282°, and 333°) with 6-MV X-ray. The VMAT plan consisted of a double arc of 360° with 6-MV X-ray [13]. The prescribed dose was 30 Gy in 20 fractions. The goal of each plan was as follows: the minimum coverage dose for 95% of the PTV (D95) > 95% of the prescribed dose, mean dose (Dmean) of the liver < 12.5 Gy, Dmean of each kidney < 10 Gy, maximum dose (Dmax) of the spinal cord < 30 Gy, and Dmax of the small bowel < 31.5 Gy [13]. The dose calculation was performed with the anisotropic analytical algorithm and a gird size of 2.5 mm.

Dosimetric parameters for plan evaluation

Each plan was analyzed using a dose-volume histogram (DVH). The PTV coverage was evaluated base on D95. The homogeneity index (HI) of the PTV was calculated as follows [18]:

where D1 and D99 are the minimum dose covering 1 and 99% of the PTV, respectively; and Dp is the prescription dose. The lower HI suggests a better homogeneity.

The conformity index (CI) of the PTV was calculated as follows [13]:

where BV95 is the volume of the body receiving 95% of the prescribed dose. The closer CI is to 1, the better conformity.

The OAR dose was evaluated by the Dmean for parallel organs (kidneys and liver), and the Dmax for serial organs (small bowel and spinal cord).

We used an RT plan analysis software; Plan IQ (Version 2.3.2; Sun Nuclear, Melbourne, FL), which obtains a comprehensive and objective assessment of treatment plans by calculating the plan quality metric (PQM). The PQM score settings were based on previous reports and clinical importance (Table 1) [13, 18]. The PQM score (%) was calculated as follows [13]:

where PQMraw means the total score of each dosimetric parameter, and PQMmax means the sum of the perfect score of each dosimetric parameter, which was set to 120.

Table 1

Plan quality metric scores for each dosimetric parameter

 

Target

   

OAR

       
 

PTV

   

Liver

Right kidney

Left kidney

Spinal cord

Small bowel

Score

D95 (cGy)

HI

CI

Dmean (cGy)

Dmean (cGy)

Dmean (cGy)

Dmax (cGy)

Dmax (cGy)

0

< 2550

0.2≦

2000≦

1800<

1800<

3000<

 

1

2550

0.18

< 0.2,1.8<

1950

1800

1800

3000

 

2

2600

0.16

0.2,1.8

1900

1700

1700

2900

 

3

2650

0.14

0.3,1.7

1850

1600

1600

2800

 

4

2700

0.12

0.4,1.6

1800

1500

1500

2700

 

5

2750

0.1

0.5,1.5

1750

1400

1400

2600

 

6

2800

0.08

0.6,1.4

1700

1300

1300

2500

2700

7

2850

0.06

0.7,1.3

1650

1200

1200

2400

2750

8

2900

0.04

0.8,1.2

1600

1100

1100

2300

2800

9

2950

0.02

0.9,1.1

1550

1000

1000

2200

2850–2950,3050–3150

10

3000

0

1

1500

950

950

2100

3000

11

     

1450

900

900

2000

 

12

     

1400

850

850

1900

 

13

     

1350

800

800

1800

 

14

     

1300

750

750

1700

 

15

     

1250

700

700

1600

 

16

     

1200

650

650

1500

 

17

     

1150

600

600

1400

 

18

     

1100

550

550

1300

 

19

     

1050

500

500

1200

 

20

     

1000

400

400

1100

 
OAR: organ at risk, PTV: planning target volume, D95: the minimum coverage dose of 95% of the PTV, HI: homogeneity index, CI: conformity index, Dmean: mean dose, Dmax: maximum dose.

 

Statistical analysis of dosimetric parameters

For the comparison of treatment plans, the Friedman test was used for analysis of variance (ANOVA), and the Wilcoxon signed-rank test was used for post-hoc analysis with a Bonferroni correction. Differences with p-values of < 0.05 were considered to be statistically significant. Statistical analyses were performed with the SPSS software (Version 26.0; IBM, Armonk, NY).

Results

The results of the DVH parameters and the PQM scores of the three treatment plans are shown in Table 2. Examples of dose distributions for each plan are shown in Fig. 1.

Table 2

Dosimetric parameters and plan quality metric scores of the three plans (mean ± standard deviation)

   

3D-CRT

IMRT

VMAT

p-value*

p-value#

   
           

3D-CRT vs. IMRT

3D-CRT vs. VMAT

IMRT vs. VMAT

PTV

D95 (cGy)

2895 ± 58

2936 ± 16

2932 ± 19

0.368

 

HI

0.15 ± 0.03

0.04 ± 0.01

0.07 ± 0.02

< 0.001

0.047

0.047

0.047

 

CI

1.56 ± 0.16

1.23 ± 0.05

1.19 ± 0.05

0.002

0.047

0.047

0.094

Liver

Dmean (cGy)

1587 ± 190

1291 ± 213

1376 ± 175

0.004

0.047

0.047

0.234

Right kidney

Dmean (cGy)

400 ± 184

544 ± 272

561 ± 297

0.066

Left kidney

Dmean (cGy)

729 ± 662

760 ± 467

699 ± 492

0.368

Spinal cord

Dmax (cGy)

2415 ± 564

1845 ± 101

1980 ± 142

0.066

Small bowel

Dmax (cGy)

3060 ± 74

3017 ± 76

3006 ± 161

0.276

PQM score (%)

 

57.11 ± 9.24

74.49 ± 8.05

70.36 ± 8.58

0.002

0.047

0.047

0.047

3D-CRT: three-dimensional conformal radiotherapy, IMRT: intensity-modulated radiotherapy, VMAT: volumetric modulated arc therapy, PTV: planning target volume, D95: the minimum coverage dose of 95% of the PTV, HI: homogeneity index, CI: conformity index, Dmean: mean dose, Dmax: maximum dose, PQM: plan quality metric, * ANOVA, # post-hoc Wilcoxon signed-rank test with a Bonferroni correction.

 

PTV coverage, homogeneity, and conformity

There was no significant difference in D95 among the three plans (p = 0.368). The box plots of HI and CI are shown in Fig. 2. The HI of the IMRT plan was significantly lower than that of the VMAT (p = 0.047) and 3D-CRT (p = 0.047) plans. The HI of the VMAT plan was significantly lower than that of the 3D-CRT (p = 0.047) plan. CIs of the IMRT and VMAT plans were significantly lower than those of the 3D-CRT plan (p = 0.047 and p = 0.047, respectively). There was no significant difference in CI between the IMRT and VMAT plans (p = 0.094).

OAR dose

The box plots of Dmean of the liver are shown in Fig. 2. Dmean of the liver for 3D-CRT was significantly higher than that for IMRT (p = 0.047) and VMAT (p = 0.047). There was no significant difference between the IMRT and VMAT plans in the Dmean of the liver (p = 0.234). There was no significant difference among the three plans in the Dmean of right kidney (p = 0.066) and left kidney (p = 0.368), Dmax of the spinal cord (p = 0.066), and Dmax of the small bowel (p = 0.276).

PQM score

The PQM score box plots are shown in Fig. 2. The PQM scores of the VMAT and IMRT plans were significantly higher than that of the 3D-CRT plan (p = 0.047 and p = 0.047, respectively). The PQM score of the IMRT plan was significantly higher than that of the VMAT plan (p = 0.047).

Discussion

Our study based on planning 4D-CT images suggested that the IMRT and VMAT plans have a dosimetric superiority over the 3D-CRT plan, in terms of homogeneity and conformity of the PTV, dose to the liver, and PQM score. Choi et al. performed a planning study to compare four-fields 3D-CRT, seven-fields step-and-shoot IMRT and double arc VMAT in nine patients based on free-breathing 3D-CT images [13]. They added an isotropic margin of 15 mm to the whole stomach to account for respiratory movement during treatment and an additional isotropic margin of 5 mm to cover set-up errors. The prescribed dose was 30 Gy in 20 fractions. They reported that the IMRT and VMAT plans provided significantly better CI of PTV and significantly lower Dmax of the spinal cord compared with the 3D-CRT plan, and that other dosimetric parameters were similar among the three treatment plans. By using 4D-CT images, we confirmed a similar tendency, whereby the IMRT and VMAT plans achieved a dosimetric superiority over the 3D-CRT plan in point of appropriate dose to PTV and reduced dose to OARs.

In terms of plan quality superiority among the IMRT and VMAT plans, Choi et al. found no significant difference in PTV coverage, homogeneity, conformity, and OAR doses between the IMRT and VMAT plans. On the other hand, our results suggested that the IMRT plan provides better dose distributions than the VMAT plan in terms of homogeneity of the PTV and PQM score. A possible reason for the difference between their result and ours is a difference in our definitions of the target volume. Unlike the study by Choi et al., we defined target volumes based on 4D-CT images. Respiratory movement is not isotropic; Uchinami et al. estimated the motion of the stomach in 10 patients with gastric lymphoma using 4D-CT and reported that the average respiratory amplitudes of the centroid stomach were 4.1 mm, 2.9 mm, and 10.1 mm in the anterior-posterior, left-right, and superior-inferior direction, respectively [12]. Another possible reason is that Choi et al. used the step-and-shoot technique, while we used a sliding window technique for the IMRT plan. It is reported that sliding window IMRT provides better plan quality compared with step-and-shoot IMRT under certain conditions [19].

Although VMAT had been introduced after IMRT, the results of the previous reports on dosimetric superiority of these techniques are conflicting between the studies. Yoo et al. compared seven-field IMRT with single and double arc VMAT in ten prostate cancer patients with or without pelvic lymph nodes [20]. The RT dose of 46.8 Gy was prescribed for primary PTV (PTVP), which contained prostate, seminal vesicles, and pelvic lymph nodes. It was followed by an RT dose of 28.8 Gy for boost PTV (PTVB), which contained prostate and seminal vesicles. For the primary plan, HI and CI of PTVP for the IMRT plan were significantly better than those for the single arc VMAT plan, whereas those were similar with those for two arc VMAT plan. The Dmean of the bladder, rectum, and small bowel for the IMRT plan was significantly lower than that for the single and two arc VMAT plans. For the boost plan, the HI of PTVB for the IMRT plan was significantly better than that for the single arc VMAT plan and was almost the same as that for the two arc VMAT plan. The CI of PTVB for the IMRT plan was similar to that for the single arc VMAT plan and was significantly worse than that for the two arc VMAT plan. The Dmean of the bladder and rectum for the IMRT plan was significantly lower than that for the single arc VMAT plan, whereas those were similar to that for the two arc VMAT plan. Their results may suggest that the dose distribution of the IMRT plan is superior to that of the VMAT plan in cases where the target volume is large and complex, which is applicable to gastric MALT lymphoma in our study.

The dosimetric superiority of the IMRT plan over the VMAT plan is demonstrated in our study; however, the dose distributions of the VMAT plan were sufficiently better than those of 3D-CRT. The advantages of VMAT over IMRT are confirmed in the shorter treatment time and fewer monitor units [9, 21]. Therefore, considering these advantages and the significantly better dose distribution of IMRT and VMAT, these plans could be an appropriate for the treatment of gastric MALT lymphoma.

As comparison of the quality of treatment plans requires the evaluation of many DVH parameters. Therefore, it is difficult to make a direct comparison between treatment plans. To resolve this issue, we used Plan IQ for a comprehensive and objective assessment of the treatment plans. Our results suggested that the PQM score appropriately and comprehensively reflected the tendency of each DVH parameters. This type of RT plan analysis software may be useful to improve and evaluate the quality of treatment plans.

There are some limitations to our study. Firstly, it was a single center retrospective study with a relatively small sample size. Secondly, as this is a planning study, the effects of respiratory motion, such as deformation of the structures and interplay effect in a real clinical setting, on the dose distribution were not considered [22, 23]. Similarly, the clinical superiority of IMRT and VMAT over 3D-CRT is not demonstrated and further studies are underway to address issues.

Conclusions

In this planning study, we compared the quality of the 3D-CRT, IMRT, and VMAT plans for patients with gastric MALT lymphoma based on 4D-CT images. The IMRT and VMAT plans had a dosimetric superiority over the 3D-CRT plan in terms of homogeneity and conformity of the PTV, dose to the liver, and PQM score. The IMRT plan provides better dose distributions than the VMAT plan in terms of homogeneity of the PTV and PQM score. Taking into account the advantages of VMAT over IMRT in terms of shorter treatment time and fewer monitor units, we recommend the implementation of the IMRT and VMAT plans, rather than 3D-CRT, for patients with gastric MALT lymphoma.

Abbreviations

MALT = mucosa-associated lymphoid tissue

RT = radiotherapy

HP = helicobacter pylori

CTV = clinical target volume

GTV = gross tumor volume

OARs = organs at risk

2D-RT = two-dimensional radiotherapy

3D-CRT = three-dimensional conformal radiotherapy

IMRT = intensity-modulated radiotherapy

VMAT = volumetric modulated arc therapy

3D-CT = three-dimensional computed tomography

DIBH = deep-inspiration breath hold

4D-CT = four-dimensional computed tomography

AIP = average intensity projection

PTV = planning target volume

DVH = dose-volume histogram

HI = homogeneity index

CI = conformity index

PQM = plan quality metric

Declarations

Ethics approval and consent to participate

This study received the full approval from the Institutional Research Ethics Board at the Kumamoto University Hospital (No. 1878). The requirement for individual participant consent was waived by the research ethics board.

Consent for publication

Not applicable.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author, but restrictions apply to the availability of the data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of the Institutional Research Ethics Board at Kumamoto University Hospital.

Competing interests

The authors declare that they have no competing interests.

Funding

Not applicable.

Authors’ contributions

TM developed the study design; collected, analyzed, and interpreted data; performed statistical analysis; and drafted the manuscript. RT developed the study design; collected, analyzed and interpreted data; and revised the manuscript. YS developed the study design; performed radiotherapy planning; and collected, analyzed, and interpreted data. TW and YK developed the study design; collected and interpreted data. TM, TS, YF, and NO developed the study design and interpreted data. All authors have read and approved the final manuscript.

Acknowledgments

Not applicable.

References

  1. Raderer M, Kiesewetter B, Ferreri AJ. Clinicopathologic characteristics and treatment of marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma). CA Cancer J Clin. 2016;66:153-71.
  2. National comprehensive cancer network. NCCN clinical practice guidelines in oncology, B-cell lymphomas (version 2). 2021.
  3. Yahalom J, Illidge T, Specht L, Hoppe RT, Li YX, Tsang R, et al. Modern radiation therapy for extranodal lymphomas: field and dose guidelines from the International Lymphoma Radiation Oncology Group. Int J Radiat Oncol Biol Phys. 2015;92:11-31.
  4. Ohkubo Y, Saito Y, Ushijima H, Onishi M, Kazumoto T, Saitoh JI, et al. Radiotherapy for localized gastric mucosa-associated lymphoid tissue lymphoma: long-term outcomes over 10 years. J Radiat Res. 2017;58:537-42.
  5. Della Biancia C, Hunt M, Furhang E, Wu E, Yahalom J. Radiation treatment planning techniques for lymphoma of the stomach. Int J Radiat Oncol Biol Phys. 2005;62:745-51.
  6. Pinnix CC, Gunther JR, Milgrom SA, Cruz Chamorro RJ, Medeiros LJ, Khoury JD, et al. Outcomes after reduced-dose intensity modulated radiation therapy for gastric mucosa-associated lymphoid tissue (MALT) lymphoma. Int J Radiat Oncol Biol Phys. 2019;104:447-55.
  7. Toya R, Saito T, Kai Y, Shiraishi S, Matsuyama T, Watakabe T, et al. Impact of (99m)Tc-GSA SPECT Image-guided inverse planning on dose-function histogram parameters for stereotactic body radiation therapy planning for patients with hepatocellular carcinoma: A dosimetric comparison study. Dose Response. 2019;17:1559325819832149.
  8. Palma DA, Verbakel WF, Otto K, Senan S. New developments in arc radiation therapy: a review. Cancer Treat Rev. 2010;36:393-9.
  9. Teoh M, Clark CH, Wood K, Whitaker S, Nisbet A. Volumetric modulated arc therapy: a review of current literature and clinical use in practice. Br J Radiol. 2011;84:967-96.
  10. Inaba K, Okamoto H, Wakita A, Nakamura S, Kobayashi K, Harada K, et al. Radiotherapy for gastric lymphoma: a planning study of 3D conformal radiotherapy, the half-beam method, and intensity-modulated radiotherapy. J Radiat Res. 2014;55:1141-5.
  11. Matoba M, Oota K, Toyoda I, Kitadate M, Watanabe N, Tonami H. Usefulness of 4D-CT for radiation treatment planning of gastric MZBCL/MALT. J Radiat Res. 2012;53:333-7.
  12. Uchinami Y, Suzuki R, Katoh N, Taguchi H, Yasuda K, Miyamoto N, et al. Impact of organ motion on volumetric and dosimetric parameters in stomach lymphomas treated with intensity-modulated radiotherapy. J Appl Clin Med Phys. 2019;20:78-86.
  13. Choi SH, Park SH, Lee JJB, Baek JG, Kim JS, Yoon HI. Combining deep-inspiration breath hold and intensity-modulated radiotherapy for gastric mucosa-associated lymphoid tissue lymphoma: Dosimetric evaluation using comprehensive plan quality indices. Radiat Oncol. 2019;14:59.
  14. Jang JW, Brown JG, Mauch PM, Ng AK. Four-dimensional versus 3-dimensional computed tomographic planning for gastric mucosa associated lymphoid tissue lymphoma. Pract Radiat Oncol. 2013;3:124-9.
  15. Shimohigashi Y, Toya R, Saito T, Kono Y, Doi Y, Fukugawa Y, et al. Impact of four-dimensional cone-beam computed tomography on target localization for gastric mucosa-associated lymphoid tissue lymphoma radiotherapy: reducing planning target volume. Radiat Oncol. 2021;16:14.
  16. Jabbour SK, Hashem SA, Bosch W, Kim TK, Finkelstein SE, Anderson BM, et al. Upper abdominal normal organ contouring guidelines and atlas: a Radiation Therapy Oncology Group consensus. Pract Radiat Oncol. 2014;4:82-9.
  17. Toya R, Saito T, Shimohigashi Y, Yotsuji Y, Matsuyama T, Watakabe T, et al. Four-dimensional cone-beam computed tomography-guided radiotherapy for gastric lymphoma. Jpn J Radiol. 2018;36:159-63.
  18. Clarke S, Goodworth J, Westhuyzen J, Chick B, Hoffmann M, Pacey J, et al. Software-based evaluation of a class solution for prostate IMRT planning. Rep Pract Oncol Radiother. 2017;22:441-49.
  19. Van Gestel D, van Vliet-Vroegindeweij C, Van den Heuvel F, Crijns W, Coelmont A, De Ost B, et al. RapidArc, SmartArc and TomoHD compared with classical step and shoot and sliding window intensity modulated radiotherapy in an oropharyngeal cancer treatment plan comparison. Radiat Oncol. 2013;8:37.
  20. Yoo S, Wu QJ, Lee WR, Yin FF. Radiotherapy treatment plans with RapidArc for prostate cancer involving seminal vesicles and lymph nodes. Int J Radiat Oncol Biol Phys. 2010;76:935-42.
  21. Kai Y, Toya R, Saito T, Kuraoka A, Shimohigashi Y, Nakaguchi Y, et al. Plan quality and delivery time comparisons between volumetric modulated arc therapy and intensity modulated radiation therapy for scalp angiosarcoma: A planning study. J Med Radiat Sci. 2018;65:39-47.
  22. Admiraal MA, Schuring D, Hurkmans CW. Dose calculations accounting for breathing motion in stereotactic lung radiotherapy based on 4D-CT and the internal target volume. Radiother Oncol. 2008;86:55-60.
  23. Chui CS, Yorke E, Hong L. The effects of intra-fraction organ motion on the delivery of intensity-modulated field with a multileaf collimator. Med Phys. 2003;30:1736-46.