Open Access

Dosimetric comparison of helical tomotherapy, VMAT, fixed-field IMRT and 3D-conformal radiotherapy for stage I-II nasal natural killer T-cell lymphoma

  • Xianfeng Liu1,
  • Erliang Huang2,
  • Ying Wang1,
  • Yanan He1,
  • Huanli Luo1,
  • Mingsong Zhong1,
  • Da Qiu1,
  • Chao Li1,
  • Han Yang1,
  • Guanglei He1,
  • Juan Zhou3 and
  • Fu Jin1Email author
Radiation Oncology201712:76

https://doi.org/10.1186/s13014-017-0812-1

Received: 11 January 2017

Accepted: 25 April 2017

Published: 27 April 2017

Abstract

Background

The aim of this study was to compare radiotherapy plans for Stage I-II nasal natural killer/T-cell lymphoma (NNKTL) using helical tomotherapy (HT), volumetric-modulated arc therapy (VMAT), Fixed-Field intensity-modulated radiotherapy (IMRT), and three-dimensional conformal radiotherapy (3D-CRT).

Methods

Eight patents with Stage I-II NNKTL treated with IMRT were re-planned for HT, VMAT (two full arcs), and 3D-CRT. The quality of target coverage, the exposure of normal tissue and the efficiency of radiation delivery were analyzed.

Results

HT showed significant improvement over IMRT in terms of D98%, cold spot volume and homogeneity index (HI) of planning target volume (PTV). VMAT provided best dose uniformity (p = 0.000) to PTV, while HT had best dose homogeneity among the four radiotherapy techniques (p = 0.000) to PTV. VMAT obviously reduced treatment time (p = 0.010; 0.000) compared to HT and IMRT. Mean dose of left and right optic nerve was significantly reduced by IMRT compared to HT (19.86%, p = 0.000; 21.40%, p = 0.002) and VMAT (8.97%, p = 0.002; 9.35%, p = 0.001), and maximum dose of left lens of VMAT increased over the HT (36.25%, p = 0.043) and IMRT (40.65%, p = 0.001).

Conclusion

The unexpected results show that both HT and VMAT can achieve higher conformal treatment plans while getting worse organs at risk (OARs) sparing than IMRT for patients with Stage I-II NNKTL. VMAT requires the shortest delivery time, and IMRT delivers the lowest dose to most OARs. The results could provide guidance for selecting proper radiation technologies for different cases.

Keywords

Helical tomotherapyVMATIMRTNasal natural killer/T-cell lymphomaDosimetry

Background

The incidence of NNKTL accounts for 2–10% of the cases of primary non-Hodgkin’s disease [1]. It occurs more commonly in Asians, Mexicans and South Americans than in Western populations [25]. About 80% of cases diagnosed with localized disease are of stage I-II [6], but treatment outcomes in the cases remain unsatisfying. Recent studies have showed that primary radiotherapy is superior to chemotherapy alone or primary chemotherapy [4, 7, 8]. However, the local recurrence rate remains as high as 41–50%, and the overall survival rate is lower than 50% for patients with stage I-II NNKTL after radiotherapy [911]. Retrospective studies have reported that improper radiation fields and deficiency of radiation dose for target volume are two of the main causes accounting for treatment failure [1012]. Radiotherapy is highly recommended as the primary therapy for stage I-II NNKTL, so the establishment of feasible and optimal patterns of radiotherapy is critical. Therefore, the optimal radiotherapeutic techniques, including radiation dose, target volume, and treatment plans, still deserve further study.

Though highly conformal radiation techniques, such as HT, IMRT, and VMAT have been widely studied in head-and-neck cancer, there are only several reported investigations to NNKTL with these techniques. Shen et al. [13] studied 94 patients with stage I-II NNKTL and confirmed that IMRT had shown dosimetric advances in target dose sculpturing and OARs sparing, and yet particularly resulted in complex technical problems and extended treatment time. In recent years, radiotherapy techniques have dramatically improved. Helical tomotherapy delivers IMRT treatment with 64 pneumatically driven leaves of multi-leaf collimator (MLC), selectable fixed jaws and 360° gantry rotation while the patient couch is translating. VMAT, a variable-speed rotational treatment paradigm, delivers IMRT treatment with less monitor units (MUs), less treatment time, varying dose rates and dynamic MLC. Recently, comparisons have been published on radiotherapy techniques in pairs for treating patients with stage I-II NNKTL, indicating some potential dosimetric disadvantages and advantages [1315]. Yet, this study aims to further assess treatment plans utilizing 4 kinds of radiotherapy techniques: HT, VMAT, IMRT and 3D-CRT for treatment of stage I-II NNKTL.

Methods

Patients and materials

Eight consecutive patients with localized Stage I-II NNKTL were treated with Fixed-Field IMRT at our Institution between September 2010 and March 2013, seven patients with Stage I and one patient with Stage II. All patients were free of distant metastases and had not received prior radiotherapy.

Philips Brillicance Big Bore computed tomography (CT) (Philips, Holland) simulation was used to scan at 3 mm slice thickness with a scan scope from the vertex of the skull to the inferior margin of the clavicular heads on supine position. The CT images were imported to the Eclipse treatment planning system (Varian Medical Systems, Version 11.0, Inc.) and prepared for contouring.

According to the report by the International Commission on Radiation Units and Measurement, the gross tumor volume (GTV) contains the primary tumor and regional metastatic lymph nodes, which are identified by CT or magnetic resonance imaging (MRI), physical examination, and endoscopic examinations. For limited IE phase, if the tumor is confined to one side of the nasal cavity, without invasion of adjacent tissues or organs, the clinical target volume (CTV) should include ipsilateral nasal cavity, ipsilateral anterior ethmoid sinus and maxillary sinus. If the tumor has invaded nasal cavity or nasal septum, the CTV should include bilateral nasal cavity, bilateral anterior ethmoid sinus and bilateral maxillary sinus. For extensive IE period, the CTV should be extent to the adjacent tissues or organs. For phase IIE, the CTV also includes bilateral neck lymph drainage area, in addition to irradiating the above tissue structure. The planning target volume (PTV) is obtained from the respective CTV adding 3 mm margin with all expansion to offset setup uncertainties. The mean volume of PTV was 286.4 cm3, ranging from 60.7 cm3 to 471.3 cm3. Figure 1 shows an example of the target volume contouring for a patient.
Fig. 1

The definition of the target volume

Radiotherapy plans

For each case, four different planning techniques were adopted: HT, VMAT, Fixed-Field IMRT, and 3D-CRT. The HT plans were designed on tomotherapy treatment planning system with 6 MV photon beams [15] and optimized via least squares optimization method [16]. VMAT, Fixed-Field IMRT, and 3D-CRT plans were designed on the Varian Eclipse treatment planning system with 6 MV photon beams generated by Varian IX linear accelerator. For all Eclipse plans, Dose–Volume Optimizer (DVO) and Progressive Resolution Optimizer (PRO) algorithms were used for IMRT and VMAT optimizations, respectively [17]. Anisotropic analytical algorithm(AAA) was applied for final dose calculations [18].

All plans were optimized with an addition of a 0.5 cm bolus. The right and left bounds of the bolus lie on the inner edges of the paropias on both sides, while the lower and upper bounds lie on the lower edge of the palate, and the upper edge of the frontal sinus respectively.
  1. a)

    HT

    A field width of 2.5 cm, pitch values of 0.287, modulation factor of 3 and fine dose calculation grid was used.

     
  2. b)

    VMAT

    The VMAT plan included two coplanar arcs of 360°, with the collimator rotation of 45° and 315° respectively, and the couch rotation set to 0°. The plans were optimized with a maximum dose rate (DR) of 600 MUs/min.

     
  3. c)

    Fixed-field IMRT

    Fixed-field IMRT plans contained 9 equally distributed coplanar fields, with the following gantry angles: 200°/240°/280°/320°/0°/40°/80°/120°/160°. Given the lenses and optic nerves close to the PTV, the angle of collimator and the position of jaw in some field should be adjusted. Specifically, for the treatment fields with gantry angle 0°, two fields, lower and upper fields, are obtained at the interface 0.5 cm below the lower edge of the lens and the angle of collimator is set to 0°. A fixed DR of 300 MUs/min and dynamic sliding-window IMRT delivery technique were used to optimize the delivered dose.

     
  4. d)

    3D-CRT

    3D-CRT plans contained three half fields, one anterior and two bilateral fields, are obtained at the interface 0.5 cm below the lower edge of the lens. The anterior fields radiated the upper part of PTV, and the two bilateral fields radiated the lower part of PTV. The collimator of all fields is set to 0°, the gantry angle of the anterior, and two bilateral fields are set to 0°, 270° and 90° respectively. To solve the dose uniformity, a 30° physical wedge filter was added to the two bilateral fields.

     

The prescribed dose of the PTV was 50 Gy in total, 25 fractions over 5 weeks. For all treatment plans, the prescribed 95% isodose covered at least 95% of the PTV, and the percentage volume of PTV receiving greater than 107% of the prescription was limited to 2% [14, 19].

Contoured OARs were lenses, eyes, optic chiasm, optic nerves, brainstem, spinal cord and parotid glands. All CT images and contoured structures in the Eclipse treatment planning system were transmitted to the tomotherapy treatment planning system (Tomotherapy, Madison, WI). Dose constraints for the four types of plans were adopted and slightly modified from the Radiation Therapy Oncology Group (RTOG) 0615 Protocol [20]. The dose constraint for the brainstem and lens was reduced to 50 Gy and 15 Gy, respectively.

Planning objective for other OARs was defined as follows: maximum dose (Dmax) of optic chiasm, optic nerves, eyes were limited to < 50 Gy; Dmax of spinal cord was limited to 45 Gy; mean dose (Dmean) of parotid glands was limited to < 26 Gy.

Treatment plan evaluation

The data from the Dose-Volume Histogram (DVH) obtained from all the plans were analyzed. Representative dose distribution and DVHs for four types of techniques are shown in Figs. 2 and 3. The plan comparisons were focusing on the following items.
Fig. 2

Example of the dose distribution using HT, VMAT, IMRT and 3D-CRT for the same patient

Fig. 3

DVH for (a) HT, (b) VMAT, (c) IMRT and (d) 3D-CRTplans for the same patient

PTV Coverage: D98% and D2% (dose received by 98%, and 2% of the PTV volume respectively) were defined as the near-minimum and near-maximum dose of PTV. The Dmean to the PTV and the percentage of PTV covered by ≥ 95% of the prescribed dose (V95%) were also used. Cold spot volume (the percentage volumes of PTV receiving less than 93% of the prescribed dose) should be less than 1%. Conformal index (CI) of PTV was derived from the prescription isodose volume divided by the PTV volume. A value of CI approaching 1 indicates the conformity of PTV is fine. Homogeneity index (HI) of PTV calculated with D5% minus D95%, divided by Dmean, where Dx% is the minimum dose delivered to x% of the PTV, Dmean is the mean dose of the PTV. Higher HI represented poorer homogeneous irradiation of the PTV.

Organs at Risk: for each patient, analysis was performed for the Dmax and Dmean of OARs, including left and right eye, left and right lens, left and right optic nerve, optic chiasm, spinal cord, brainstem, left and right parotid gland.

Monitor Units and Treatment Time: the total MU and treatment time were used to compare the four kinds of technology. Treatment time was calculated from beam-on to the end of total MU delivery, inclusive of the time for gantry rotation and radiation delivery. Because the time of install and uninstall physical wedge filter could not be precisely measured, the comparison of treatment time did not contain 3D-CRT.

Statistical analysis

Paired t-test was used to determine if there was a significant difference in each of the parameters examined with the SPSS statistical software (SPSS, Chicago, IL, USA). A p < 0.05 was considered statistically significant.

Results

PTV coverage

The data analysis of all plans for PTV was performed with the DVH, the PTV coverage parameters:D98%, D2%, Dmean, cold spot volume, CI95% and HI were compared. HT could provide better D98% and HI than VMAT, IMRT and 3D-CRT (p < 0.05), while achieving worse D2% and CI95% than VMAT and IMRT (p < 0.05) but better than 3D-CRT (p < 0.05). Compared with IMRT, cold spot volume (%) of PTV with HT and VMAT decreased by 52.27% (p = 0.036) and 30.68% (p = 0.047). The CI95% was better with VMAT (1.075 ± 0.008) than with HT (1.234 ± 0.024) and 3D-CRT (1.493 ± 0.046) (p < 0.05). The findings from DVH analysis on PTV are listed in Table 1.
Table 1

Results of dosimetric comparison for PTV from DVH (\( \overline{x}\pm S \))

Parameters

HT

VMAT

IMRT

3D-CRT

p-Value

HT VS. VMAT

HT VS. IMRT

HT VS. 3D-CRT

VMAT VS. IMRT

VMAT VS. 3D-CRT

IMRT VS. 3D-CRT

D98% (Gy)

49.12 ± 0.19

47.43 ± 0.18

47.20 ± 0.10

47.50 ± 0.24

0.000

0.000

0.002

0.181

0.766

0.275

D2% (Gy)

52.42 ± 0.17

51.31 ± 0.11

51.62 ± 0.19

54.80 ± 0.47

0.000

0.004

0.001

0.055

0.000

0.000

Dmean (Gy)

51.41 ± 0.15

49.75 ± 0.10

49.72 ± 0.18

50.98 ± 0.12

0.000

0.000

0.056

0.862

0.000

0.001

V95%(%)

99.35 ± 0.19

97.82 ± 0.44

97.10 ± 0.25

97.74 ± 0.48

0.015

0.000

0.024

0.150

0.863

0.279

Cold spot volume (%)

0.42 ± 0.45

0.61 ± 0.37

0.88 ± 0.33

0.95 ± 0.22

0.367

0.036

0.107

0.047

0.105

0.773

CI95%

1.234 ± 0.024

1.075 ± 0.008

1.090 ± 0.007

1.493 ± 0.046

0.000

0.000

0.000

0.140

0.000

0.000

HI

0.043 ± 0.002

0.058 ± 0.003

0.065 ± 0.004

0.103 ± 0.008

0.000

0.000

0.000

0.066

0.000

0.002

OARs

The average dose to the OARs are listed in Table 2. In comparison with HT, VMAT and IMRT reduced the maximum dose of optic chiasm (p = 0.016; p = 0.020), left optic nerve (0.007; 0.033), right optic nerve (0.002; 0.018) and left parotid (0.031, 0.010). Similarly, compared with VMAT, the maximum dose to left lens with HT and IMRT was significantly decreased by 26.61 and 28.90% (p = 0.043; 0.001), the maximum dose to right lens with IMRT was greatly reduced by 24.97% (p = 0.000), and the maximum dose of brainstem of HT and IMRT was decreased by 20.44 and 7.54% (p = 0.044; 0.000).
Table 2

Results of dosimetric comparisons for OARs from DVH (\( \overline{x}\pm S \))

Parameters

HT

VMAT

IMRT

3D-CRT

p-Value

HT VS. VMAT

HT VS. IMRT

HT VS. 3D-CRT

VMAT VS. IMRT

VMAT VS. 3D-CRT

IMRT VS. 3D-CRT

Optic chiasm

Dmax (Gy)

48.48 ± 1.52

47.13 ± 1.33

46.50 ± 1.17

48.13 ± 0.94

0.016

0.020

0.761

0.174

0.340

0.162

Dmean (Gy)

38.01 ± 2.95

37.75 ± 2.44

37.77 ± 1.57

40.75 ± 1.60

0.880

0.908

0.210

0.984

0.108

0.046

Left optic nerve

Dmax (Gy)

49.43 ± 2.42

46.62 ± 3.12

47.01 ± 3.31

46.87 ± 3.37

0.007

0.033

0.053

0.264

0.724

0.834

Dmean (Gy)

45.56 ± 2.86

41.81 ± 3.59

38.01 ± 3.66

36.92 ± 4.98

0.002

0.000

0.012

0.007

0.049

0.609

Right optic nerve

Dmax (Gy)

50.32 ± 0.75

48.02 ± 1.02

48.23 ± 1.09

49.08 ± 1.22

0.002

0.018

0.281

0.774

0.300

0.272

Dmean (Gy)

45.95 ± 1.83

42.02 ± 2.23

37.85 ± 2.73

36.70 ± 4.39

0.001

0.002

0.024

0.058

0.152

0.570

Left eye

Dmax (Gy)

45.74 ± 2.81

45.39 ± 4.24

44.15 ± 3.79

51.35 ± 3.12

0.859

0.329

0.003

0.264

0.005

0.000

Dmean (Gy)

21.36 ± 2.23

22.43 ± 2.64

15.15 ± 2.17

22.01 ± 5.09

0.550

0.008

0.881

0.001

0.914

0.072

Right eye

Dmax (Gy)

44.90 ± 2.17

43.56 ± 2.31

39.78 ± 4.19

49.71 ± 3.45

0.213

0.090

0.084

0.116

0.007

0.000

Dmean (Gy)

20.49 ± 2.12

19.94 ± 2.37

13.34 ± 2.34

19.45 ± 5.10

0.745

0.005

0.805

0.000

0.881

0.070

Left lens

Dmax (Gy)

8.00 ± 1.09

10.90 ± 1.15

7.75 ± 0.70

15.27 ± 6.30

0.043

0.815

0.303

0.001

0.511

0.254

Dmean (Gy)

5.41 ± 0.67

8.93 ± 0.72

6.39 ± 0.52

11.40 ± 6.65

0.002

0.228

0.404

0.000

0.719

0.460

Right lens

Dmax (Gy)

7.43 ± 0.89

9.33 ± 0.44

7.00 ± 0.49

13.92 ± 6.53

0.118

0.693

0.373

0.000

0.488

0.301

Dmean (Gy)

4.83 ± 0.41

8.05 ± 0.46

5.92 ± 0.46

10.98 ± 6.54

0.000

0.083

0.382

0.000

0.662

0.450

Spinal cord

Dmax (Gy)

18.94 ± 4.76

21.67 ± 5.46

19.02 ± 4.30

19.65 ± 5.36

0.236

0.968

0.806

0.086

0.615

0.852

Dmean (Gy)

2.70 ± 0.76

2.43 ± 0.67

2.20 ± 0.63

2.23 ± 0.51

0.363

0.060

0.191

0.024

0.438

0.895

Brainstem

Dmax (Gy)

30.60 ± 4.41

38.46 ± 1.70

35.56 ± 1.73

33.74 ± 4.21

0.044

0.168

0.090

0.000

0.189

0.601

Dmean (Gy)

19.15 ± 3.27

25.98 ± 1.48

25.24 ± 1.62

20.72 ± 3.05

0.097

0.081

0.652

0.471

0.191

0.181

Left parotid

Dmax (Gy)

29.48 ± 4.46

26.34 ± 5.31

25.78 ± 4.60

34.16 ± 6.78

0.031

0.010

0.212

0.622

0.015

0.039

Dmean (Gy)

14.51 ± 3.02

11.51 ± 2.97

10.87 ± 2.72

13.66 ± 4.05

0.007

0.000

0.577

0.230

0.256

0.133

Right parotid

Dmax (Gy)

25.27 ± 4.77

22.38 ± 5.59

23.68 ± 5.51

28.48 ± 7.38

0.031

0.232

0.454

0.095

0.110

0.156

Dmean (Gy)

12.20 ± 4.06

11.08 ± 3.53

10.31 ± 3.14

13.14 ± 4.63

0.372

0.280

0.578

0.243

0.220

0.144

MUs and treatment time

The MUs and treatment time of the four treatment techniques are shown in Table 3. The mean monitor units of HT, VMAT, IMRT and 3D-CRT were 3345.63, 639.88, 1257.13 and 610.50. Compared with IMRT, the mean MUs of VMAT and 3D-CRT were significantly reduced by 49.10 and 51.44% (p = 0.000; 0.000). The mean treatment time of HT, VMAT and IMRT were 238.98, 191.85 and 436.13 s. In comparison with IMRT, the mean treatment time of HT and VMAT were greatly decreased by 45.20 and 56.01% (p = 0.000; 0.000).
Table 3

Results of MUs and treatment time (\( \overline{x}\pm S \))

Parameters

HT

VMAT

IMRT

3D-CRT

p-Value

HT VS. VMAT

HT VS. IMRT

HT VS. 3D-CRT

VMAT VS. IMRT

VMAT VS. 3D-CRT

IMRT VS .3D-CRT

MUs

3345.63 ± 207.02

639.88 ± 28.92

1257.13 ± 59.61

610.50 ± 8.09

0.000

0.000

0.000

0.000

0.377

0.000

Time (s)

238.98 ± 14.15

191.85 ± 1.24

436.13 ± 11.34

/

0.010

0.000

/

0.000

/

/

Discussion

The report about dosimetric comparison of various radiation technologies for stage I-II NNKTL is rare, so present study reporting a comparison among HT, VMAT, IMRT and 3D-CRT plans for treating stage I-II NNKTL is significant. The goal of this study is overall estimate of dosimetric properties in four types of treatment plans, and provides the direction for technologies selecting in auto-planning design of stage I-II NNKTL.

Previous studies [13, 15] confirmed that IMRT and HT have demonstrated significantly steeper dose gradient around the target than 3D-CRT, allowing high quality of conformal avoidance and dose sculpturing for improving the gain ratio of radiotherapy and the local control of the tumor. Comparing with other studies, we generally found that IMRT and HT offered similar results in PTV coverage and dose conformity, and all plans met the clinical demand, but 3D-CRT was distinctly worse in tumor coverage and dosimetric accuracy. The main disadvantage of IMRT was that it spent relatively long time on radiation delivery, increasing patients’ discomfort and the probability of patents’ moving during treatment. HT had an obvious characteristic of sharp dose gradients, with the highest D98%, the largest V95% and the optimal HI.

Compared with IMRT, VMAT was one of the hottest issues in recently years. VMAT therapy in head and neck cancers has demonstrated excellent target coverage with highly conformal dose, improvements in OARs sparing and delivery time [2123]. However, only our study utilized VMAT for stage I-II NNKTL [14] up to present. In the study, we observed VMAT (two coplanar full arcs) over 9-field IMRT for Stage I-II NNKTL. We found that the cold spot volume, homogeneity and conformity with VMAT plan were slightly superior to that with the IMRT plan (cold spot volume = 0.56 ± 0.11 of VMAT versus 0.93 ± 0.013 of IMRT; HI = 0.060 ± 0.003 of VMAT versus 0.069 ± 0.004 of IMRT; CI = 1.069 ± 0.007 of VMAT versus 1.087 ± 0.006 of IMRT). In the current study, we found that HT and IMRT achieved better D2%, CI95% and HI than 3D-CRT did. HT and VMAT provided better D98%, cold spot volume and HI than IMRT. VMAT provided the optimal CI95% and radiation delivery time, which was confirmed by much evidence in previous studies [2428]. With this benefit, VMAT can improve the clinical throughput and allows more time to perform systematic image guidance. HT achieved the optimal D98%, and HI among the four technologies, while D2% and CI95% with HT was slightly inferior to that with VMAT and IMRT, but superior to that with 3D-CRT. However, it should be mentioned that if 100% isodose surface volume is selected as reference volume to define conformal index, maybe HT could obtain the optimal CI.

Nevertheless, we noticed that IMRT achieved the optimal sparing of nearby critical tissues in our study where the dose to OARs did not exceed the limits among the four treatment technologies. HT and 3D-CRT had higher maximum and mean radiation dose in most parts of the OARs, and VMAT had higher Dmax of the brainstem and Dmean of the left eye. Ke Sheng et al. [29] studied 10 oropharyngeal carcinoma patients and proved HT superior to IMRT in normal tissue sparing; especially reduced the risk for complication of parotid glands. Similar results were also reported by Anders Bertelsen et al. [26] who studied 25 patients with oropharyngeal or hypopharyngeal carcinoma and demonstrated that VMAT offered equivalent or improved sparing of OARs compared with IMRT. In our study, HT and VMAT obtained better quality of dose distributions than IMRT did, though more prejudicing the OARs. This implies that pursuit of a best quality plan to the utmost possibly had no advantage. There are some findings about OARs in our study disagreement with what was reported by Ke Sheng et al. [29] and Anders Bertelsen et al. [26]. This is because that oropharyngeal and hypopharyngeal differ from NNKTL in the location of OARs and PTV. In general, the primary site of NNKTL is nasal tumor or invasion in nasal cavity, and the target volume must contain the maxillary sinus, nasal cavity and ethmoidal sinus, which means that the target volume is much closer to lenses, optic chiasm, optic nerves and eyes. As HT and VMAT pursue improved CI or HI in the target volume, the dose to OARs will inevitably increase. Therefore, compared with IMRT, HT and VMAT obtained not only a slightly better CI or HI in the target volume, but also higher dose to OARs.

Plan design for NNKTL is one of the most complex tasks due to the complexity of the tumor shape and surrounding OARs, resulting in a time consuming design process. Recently, two innovative approaches have been implemented to get automatically of the optimal plan: knowledge -based model (RapidPlan from Eclipse [30]) and template-based model (Erasmus-iCycle works with Monaco [31] and Autoplan from Pinnacle3 [32]). For the knowledge-based planning, based on contoured anatomy, the dose distribution of new patients is estimated, utilizing the dose and patient anatomy information from existing plans. In this study, the results indicate that IMRT specializes in the protection of OARs, HT and VMAT have advantage over getting better target quality, so in the process of knowledge-based auto-planning, IMRT should be adopted to protect the OARs, while both HT and VMAT are used to acquire optimal target quality. In addition, the template-based model optimizes treatment plans automatically, utilizing settings with prioritization and compromise of OARs, which is associated with location and dose constraints of PTV and OARs. In this article, the location correlation between PTV and OARs is not involved in and will be further expanded in future studies.

Conclusion

For Stage I-II NNKTL, both HT and VMAT showed slight improvements in target quality compared with IMRT, which was much better than 3D-CRT. However, HT could offer the largest V95% and VMAT featured with lower MUs and shorter delivery time but with higher dose to OARs than IMRT.

Abbreviations

3D-CRT: 

Three-dimensional conformal radiotherapy

AAA: 

Anisotropic analytical algorithm

CI: 

Conformal index

CTV: 

Clinical target volume

Dmax

Maximum dose

Dmean

Mean dose

DR: 

Dose rate

DVH: 

Dose-volume histogram

DVO: 

Dose–volume optimizer

GTV: 

Gross tumor volume

HI: 

Homogeneity index

HT: 

Helical tomotherapy

IMRT: 

Fixed-field intensity-modulated radiotherapy

MLC: 

Multi-leaf collimator

MUs: 

Monitor units

NNKTL: 

Nasal natural killer/T-cell lymphoma

OARs: 

Organs at risk

PRO: 

Progressive resolution optimizer

PTV: 

Planning target volume

RTOG: 

Radiation therapy oncology group

VMAT: 

Volumetric-modulated arc therapy

Declarations

Acknowledgements

The authors thank Prof. Yongzhong Wu for helpful discussion.

Funding

This work was supported generously by the National Natural Science Foundation of China under Grant [No. 11575038], the Scientific and Technological Research Program of Chongqing Municipal Education Commission [No. KJ1400102] and the Technical Innovation Project on Social Services & Livelihood Security of Science and Technology Commission, Chongqing Municipality, P.R. China [Grant No. cstc2015shmszx10013].

Availability of data and materials

The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

Authors’ contributions

All authors carried out the study and conceived of the study. Xianfeng Liu, Huanli Luo and Fu Jin draft the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

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Authors’ Affiliations

(1)
Department of Radiation Oncology, Chongqing Cancer Institute & Hospital & Cancer Center
(2)
Department of Medical Equipment Guangzhou Women and Children’s Medical Center
(3)
Forensic Identification Center, College of Criminal Investigation, Southwest University of Political Science and Law

References

  1. Wu X, Li P, Zhao J, et al. A clinical study of 115 patients with extranodal natural killer/T-cell lymphoma, nasal type. Clin Oncol. 2008;20:619–25.View ArticleGoogle Scholar
  2. Barrionuevo C, Zaharia M, Martinez MT, et al. Extranodal NK/T-cell lymphoma, nasal type: study of clinicopathologic and prognosis factors in a series of 78 cases from Peru. Appl Immunohisto chem Mol Morphol. 2007;15:38–44.View ArticleGoogle Scholar
  3. Li YX, Yao B, Jin J, et al. Radiotherapy as primary treatment for stage IE and IIE nasal natural killer/T-cell lymphoma. J Clin Oncol. 2006;24:181–9.View ArticlePubMedGoogle Scholar
  4. Au WY, Weisenburger DD, Intragumtornchai T, et al. Clinical differences between nasal and extranasal NK/T-cell lymphoma: a study of 136 cases from the international peripheral T-cell lymphoma project. Blood. 2009;113:3931–7.View ArticlePubMedGoogle Scholar
  5. Bossard C, Belhadj K, Reyes F, et al. Expression of the granzyme B inhibitor PI9 predicts outcome in nasal NK/T-cell lymphoma: results of a western series of 48 patients treated with first-line poly chemotherapy within the Grouped’ etudedes lymp homes de l’ adulte (GELA) trials. Blood. 2007;109:2183–9.View ArticlePubMedGoogle Scholar
  6. Ma X, Guo Y, Pang Z, Wang B, Lu H, Gu YJ, Guo X. A randomized phase II study of CEOP with or without semustine as induction chemotherapy in patients with stage IE/IIE extra nodal NK/T-cell lymphoma, nasal type in the upper aerodigestive tract. RadiotherOncol. 2009;93:492–7.Google Scholar
  7. Huang MJ, Jiang Y, Liu WP, et al. Early or up-front radiotherapy improved survival of localized extra nodal NK/T-cell lymphoma, nasal-type in the upper aerodigestive tract. Int J Radiat Oncol Biol Phys. 2008;70:166–74.View ArticlePubMedGoogle Scholar
  8. Yang Y, Zhang YJ, Lin XB, et al. Role of radiotherapy in the combined treatment of patients with early-stage extra nodal nasal-type NK/T-cell lymphoma and analysis of prognostic factors. Chin J Radiat Oncol. 2009;18:285–9.Google Scholar
  9. Li CC, Tien HF, Tang JL, et al. Treatment outcome and pattern of failure in 77 patients with sinonasal natural killer/T-cell or T-cell lymphoma. Cancer. 2004;100:366–75.View ArticlePubMedGoogle Scholar
  10. Kim GE, Cho JH, Yang WI, et al. Angiocentric lymphoma ofthe head and neck: patterns of systemic failure after radiation treatment. J Clin Oncol. 2000;18:54–63.View ArticlePubMedGoogle Scholar
  11. Kim GE, Lee SW, Chang SK, et al. Combined chemotherapyand radiation versus radiation alone in the management of localized angiocentric lymphoma of the head and neck. Radiother Oncol. 2001;61:261–9.View ArticlePubMedGoogle Scholar
  12. Isobe K, Uno T, Tamaru JI, et al. Extranodal natural kil1er/Tcell lymphoma, nasal type: the significance of radiotherapeutic parameters. Cancer. 2006;106:609–15.View ArticlePubMedGoogle Scholar
  13. Shen Q, Ma X, Hu W, et al. Intensity-modulated radiotherapy versus three-dimensional conformal radiotherapy for stage I-II natural killer/T-cell lymphoma nasal type: dosimetric and clinical results. Radiat Oncol. 2013;8:152.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Xianfeng L, Yong Y, Fu J, et al. A comparison of volumetric modulated arc therapy and sliding-window intensity-modulated radiotherapy in the treatment of stage I-II nasal natural killer/T-cell lymphoma. Med Dosim. 2016;4(1):42–6.Google Scholar
  15. Tomita N, Kodaira T, Tachibana H, et al. A comparison of radiation treatment plans using IMRT with helical tomotherapy and 3D conformal radiotherapy for nasal natural killer/T-cell lymphoma. Br J Radiol. 2009;82:756–63.View ArticlePubMedGoogle Scholar
  16. Shepard DM, Olivera GH, Reckwerdt PJ, et al. Iterative approaches to dose optimization in tomotherapy. Phys Med Biol. 2000;45:69–90.View ArticlePubMedGoogle Scholar
  17. Mingzan Z, Tuodan Z, Zhijian C, et al. Advanced nasopharyngeal carcinoma radiotherapy with volumetric modulated arcs and the potential role of flattening filter-free beams. Radiat Oncol. 2013;8:120.View ArticleGoogle Scholar
  18. Bragg CM, Wingate K, Conway J. Clinical implications of the anisotropic analytical algorithm for IMRT treatment planning and verification. Radiother Oncol. 2008;86:276–84.View ArticlePubMedGoogle Scholar
  19. Peters S, et al. A treatment planning study comparing Elekta VMAT and fixed field IMRT using the varian treatment planning system eclipse. Radiat Oncol. 2014;9:153.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Radiation Therapy Oncology Group (RTOG) 0615. Available from: http://irochouston.mdanderson.org/RPC/CREDENTIALING/files/0615-Master-2-16-11.pdf. Accessed 26 Apr 2017.
  21. Peters S, Schiefer H, Plasswilm L. A treatment planning study comparing Elekta VMAT and fixed field IMRT using the varian treatment planning system eclipse. RadiatOncol. 2014;V9N:153.Google Scholar
  22. Stieler F, Wolff D, Schmid H, et al. a comparison of several modulated radiotherapy techniques for head and neck cancer and dosimetric validation of vmat. Radiother Oncol. 2011;101(3):388–93.View ArticlePubMedGoogle Scholar
  23. Lu SH, Cheng JC, Kuo SH, et al. Volumetric modulated arc therapy for nasopharyngeal carcinoma: A dosimetric comparison with tomotherapy and step-and-shoot IMRT. Radiother Oncol. 2012;104:324–30.View ArticlePubMedGoogle Scholar
  24. 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.View ArticlePubMedGoogle Scholar
  25. Shaffer R, Nichol AM, Vollans E, Fong M, Nakano S, Moiseenko V, Schmuland M, Ma R, McKenzie M, Otto K. A comparison of volumetric modulated arc therapy and conventional intensity-modulated radiotherapy for frontal and temporal high-grade gliomas. Int J Radiat Oncol Biol Phys. 2010;76:1177–84.View ArticlePubMedGoogle Scholar
  26. Bertelsen A, Hansen CR, Johansen J, Brink C. Single Arc volumetric modulated Arc therapy of head and neck cancer. Radiother Oncol. 2010;95:142–8.View ArticlePubMedGoogle Scholar
  27. Popescu CC, Olivotto IA, Beckham WA, Ansbacher W, Zavgorodni S, Shaffer R, Wai ES, Otto K. Volumetric modulated arc therapy improves dosimetry and reduces treatment time compared to conventional intensity-modulated radiotherapy for locoregional radiotherapy of left-sided breast cancer and internal mammary nodes. Int J Radiat Oncol Biol Phys. 2010;76:287–95.View ArticlePubMedGoogle Scholar
  28. Kuijper IT, Dahele M, Senan S, Verbakel WF. Volumetric modulated arc therapy versus conventional intensity modulated radiation therapy for stereotactic spine radiotherapy: a planning study and early clinical data. Radiother Oncol. 2010;94:224–8.View ArticlePubMedGoogle Scholar
  29. Sheng K, Molloy JA, Read PW. Intensity-modulated radiation therapy (IMRT) dosimetry of the head and neck: a comparison of treatment plans using linear accelerator- based IMRT and helical tomotherapy. Int J Radiat Oncol Biol Phys. 2006;V65N3:917–23.View ArticleGoogle Scholar
  30. Fogliata A, Belosi F, Clivio A, Navarria P, Nicolini G, Scorsetti M, et al. On the preclinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate cancer. Radiother Oncol. 2014;113(3):385–91.View ArticlePubMedGoogle Scholar
  31. Voet PWJ, Breedveld S, Dirkx MLP, Levendag PC, Heijmen BJM. Integrated multicriterial optimization of beam angles and intensity profiles for coplanar and noncoplanar head and neck IMRT and implications for VMAT. Med Phys. 2012;39(8):4858–65.View ArticlePubMedGoogle Scholar
  32. Krayenbuehl J, Norton I, Studer G, Guckenberger M. Evaluation of anautomated knowledge based treatment planning system for head and neck. Radiat Oncol. 2015;10(1):226.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2017

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