Skip to main content

Intensity modulated arc therapy implementation in a three phase adaptive 18F-FDG-PET voxel intensity-based planning strategy for head-and-neck cancer



This study investigates the implementation of a new intensity modulated arc therapy (IMAT) class solution in comparison to a 6-static beam step-and-shoot intensity modulated radiotherapy (s-IMRT) for three-phase adaptive 18F-FDG-PET-voxel-based dose-painting-by-numbers (DPBN) for head-and-neck cancer.


We developed 18F-FDG-PET-voxel intensity-based IMAT employing multiple arcs and compared it to clinically used s-IMRT DPBN. Three IMAT plans using 18F-FDG-PET/CT acquired before treatment (phase I), after 8 fractions (phase II) and CT acquired after 18 fractions (phase III) were generated for each of 10 patients treated with 3 s-IMRT plans based on the same image sets. Based on deformable image registration (ABAS, version 0.41, Elekta CMS Software, Maryland Heights, MO), doses of the 3 plans were summed on the pretreatment CT using validated in-house developed software. Dosimetric indices in targets and organs-at-risk (OARs), biologic conformity of treatment plans set at ≤5 %, treatment quality and efficiency were compared between IMAT and s-IMRT for the whole group and for individual patients.


Doses to most organs-at-risk (OARs) were significantly better in IMAT plans, while target levels were similar for both types of plans. On average, IMAT ipsilateral and contralateral parotid mean doses were 14.0 % (p = 0.001) and 12.7 % (p < 0.001) lower, respectively. Pharyngeal constrictors D50% levels were similar or reduced with up to 54.9 % for IMAT compared to s-IMRT for individual patient cases. IMAT significantly improved biologic conformity by 2.1 % for treatment phases I and II. 3D phantom measurements reported an agreement of ≥95 % for 3 % and 3 mm criteria for both treatment modalities. IMAT delivery time was significantly shortened on average by 41.1 %.


IMAT implementation significantly improved the biologic conformity as compared to s-IMRT in adaptive dose-escalated DPBN treatments. The better OAR sparing and faster delivery highly improved the treatment efficiency.


Intensity-modulated radiation therapy (IMRT) has become a standard treatment of head-and-neck cancer due to its ability to decrease radiation-induced toxicity [13], though the survival rates have not been significantly improved. Since its introduction, different delivery techniques have evolved to make IMRT faster, more precise and flexible. At present, static, dynamic and rotational IMRT are in use demonstrating comparable dose coverage and conformity [4, 5]. Because of a faster delivery, rotational techniques like intensity-modulated arc therapy (IMAT) gained widespread use over recent years. A comparison of different rotational techniques has already been done in literature and it is beyond the scope of this paper [6]. Commercial solutions to perform IMAT are currently available for as well Elekta (Crawley, UK) as Varian (Palo Alto, CA, USA).

In planning studies for head-and-neck cancer, IMAT demonstrated better sparing of organs-at-risk (OARs) without increasing integral dose when compared to static or dynamic IMRT [46]. IMAT has the ability to modulate intensities at an infinite number of gantry angles resulting in superior, highly structured dose distributions that are needed for dose painting, i.e., mapping dose to tumor heterogeneity detected by biologic imaging. Up to now, clinical dose-painting by numbers for head-and-neck cancer was based on non-rotational IMRT [7, 8]. The potential of biological image-based IMAT has not been explored yet. We developed an 18F-FDG-PET-voxel intensity-based IMAT class solution and investigated its possible implementation in comparison to clinically used adaptive step-and-shoot 18F-FDG-PET-voxel intensity-based IMRT (s-IMRT). Herewith we present the results of our study.


Study population

The first 10 head-and-neck cancer patients treated with adaptive 18F-FDG-PET-voxel intensity-based IMRT in a randomized phase II dose-escalation clinical trial (NCT01341535) were selected for this study (Table 1). All tumors were biopsy-proven non-metastatic head-and-neck squamous cell carcinomas.

Table 1 Patient characteristics

Imaging and target definition

All patients were positioned with a five-point thermoplastic mask (Orfit Industries N.V., Belgium), which extended down to the shoulders, during computed-tomography (CT) isocenter simulation and treatment delivery. Planning CT scans of 3 mm slice thickness were acquired before the treatment and after the 8th and 18th fraction. A verification CT was taken at the treatment end. Contrast-enhanced 18F-FDG-PET/CT (Philips Medical Systems, Germany) was performed before treatment and after the 8th fraction. 18F-FDG-PET-images were acquired with a voxel size of 4 x 4 x 4 mm3 as described earlier [9]. Fusion of the planning CT and 18F-FDG-PET/CT scans was done on a Pinnacle treatment planning system, version 9.0 (Philips Medical Systems, Andover, MA).

Delineation of the gross tumor volume of the primary tumor (GTVT) and pathological lymph nodes (GTVN) was done using mutual information of both anatomical and biological imaging. A threshold level of 50 % of SUVMAX (maximal standardised uptake value) was set for 18F-FDG-uptake in Pinnacle. Pathologic lymph nodes were delineated separately and noted as the GTVN1 and GTVN2. The high-risk clinical target volume (CTVHR) was created combining the GTVN and a three-dimensional expansion of the GTVT with 1 cm and adjusted to the air cavities and uninvolved bones. 3 mm margin to the CTVHR was used to create the high risk planning target volume (PTVHR). Delineation of the elective neck regions according to the guidelines of Gregoire et al. [10] resulted in the CTV of the elective neck (CTVEN) and the elective neck PTV (PTVEN) after a 3 mm expansion in all directions.

The considered organs-at-risk (OARs) were spinal cord, brainstem, swallowing structures defined as one region-of-interest (superior, medial and inferior pharyngeal constrictor, upper oesophageal sphincter, first 2 cm of the oesophagus and supraglottic larynx), parotids and mandible. Planning OAR volumes (PRVs) were created for the spinal cord and brainstem by three-dimensional expansions of 5 mm and 3 mm, respectively.

Deformable image co-registration (ABAS, version 0.41, Elekta CMS Software, Maryland Heights, MO) was used to propagate the targets and OAR contours from one CT to another in chronological order. All structures were reviewed and edited if necessary by an experienced head-and-neck radiation oncologist.

Dose prescription and treatment planning

Treatment phases I, II and III consisted of 10 fractions planned on the 1st, 2nd and 3rd CT set, respectively. Dose-painting was performed in GTVT and GTVN during the first 20 fractions. The dose range was between 2.2 Gy and 3.1 Gy per fraction in phases I and II. Only a GTVT volume ≤ 1.75 cm3 was allowed to receive more than 2.9 Gy per fraction. GTVN was dose-painted in 4 out of 6 patients with N+ disease; in the 2 other patients, which had a pathological lymph node volume ≤ 4 cm3, the GTVN median prescription dose was 2.2 Gy per fraction. The total dose range for the GTVT and GTVN was 66-83 Gy.

No dose-painting was performed during the last 10 fractions, where a D95% of 2.0 Gy/fx was prescribed to PTVHR. Elective neck was irradiated during fractions 1-20 with a median total dose prescription of 40 Gy to PTVEN. GTVT and GTVN biologic conformity was measured by a quality factor (QF), defined as the mean deviation between prescribed and planned dose in each PET/CT voxel [9]. QF was kept below 5 % where possible. Every treatment was planned to a total of 30 fractions and then rescaled to 10 fractions. Maximum doses of 50, 60 and 70 Gy were allowed to < 5 % of the spinal cord (PRV), brainstem (PRV) and mandible, respectively. A maximal dose of less than 45 Gy for the spinal cord, 50 Gy for the brainstem and 27 Gy to < 50 % of the volume of the spared parotids, respectively, were considered clinically acceptable.

The methodology of 18F-FDG-PET voxel intensity-based DPBN has been previously discussed [9]. Briefly, a dose is prescribed to the voxels in the dose-painted target volume as a function of signal intensity as follows:

$$ D(I)\kern0.5em =\kern0.5em {D}_{low}\kern17.75em I\kern0.5em \le {I}_{low} $$
$$ D(I)\kern0.5em =\kern0.5em {D}_{low}+\frac{I-{I}_{low}}{I_{high}-{I}_{low}}\left({D}_{high}-{D}_{low}\right)\kern4.75em {I}_{low}\le I\le {I}_{high} $$
$$ D(I)\kern0.5em =\kern0.5em {D}_{high}\kern17em {I}_{high}\le I $$

where the signal intensities Ihigh and Ilow are determined as 95 % of the maximum 18F-FDG-PET intensity and as 25 % of Ihigh, respectively. The extension of the discrete PET intensity data to the continuum was implemented using trilinear interpolation for the randomly seeded points in the delineated volumes. Using the PET-intensity to dose relation, the dose prescription was on a point-by-point base.

All treatment plans were created for an Elekta linac (Crawley, UK) equipped with a standard multileaf collimator with 40 leaf pairs, capable of delivering s-IMRT and IMAT with variable dose rate, gantry and collimator rotation speed. In-house developed software using an anatomy- and 18F-FDG-PET-voxel intensity-based segmentation tool (ABST, BBST) followed by leaf position and monitor unit (MU) optimization was used for treatment planning [11, 12].

s-IMRT plans consisted of six non-opposing coplanar 6 MV beams with gantry angles of 45°, 75°, 165°, 195°, 285° and 315°. The IMAT class solution was made of 6 MV arcs collimated around PTVEN (gantry angle from -176° to 176°) and PTVHR (144° to -144°) with control points (CPs) defined every 8°. The only constraints were on the physical abilities of the linear accelerator to deliver the treatment (maximum gantry speed, maximum collimator rotation speed, maximum leaf speed, minimum dose rate), and a minimum distance constraint of 1 cm for opposite and diagonally-opposite leaves of the MLC. ABST [11] was used to create the starting set of CPs, resulting in multiple initial arcs, avoiding both parotids, the swallowing structures and the PRV of the spinal cord. The CPs were optimized as described previously [12]. ABST generates beam segments with leaf and jaw positions based on a beams-eye-view projection of selected PTVs and OARs. BBST additionally takes into account PET-intensities to create initial beam segments shapes [9]. For a faster delivery, the parts of the arcs with a contribution of less than 2 MUs were eliminated during the optimization leading to the split of the arcs in sub-arcs. A CP refinement was performed by interpolating and generating additional CPs within the arcs, followed by MU and leaf position optimization. This CP refinement limited MU differences, gantry and collimator angle differences, leaf and jaw position movements between CPs and was applied to reach the accuracy constraints used in the treatment verification. After the final optimization, the remaining arcs were linked together in one beam according to the shortest possible delivery time. All dose computations were done in Pinnacle with a collapsed cone convolution/superposition calculation algorithm.

Dose reporting and statistical analysis

Doses of the 3 treatment plans were summed on the pretreatment CT using in-house developed software [13] based on the deformable CT image registrations made with the ABAS software. The reporting of the region-of-interest (ROI) dose levels was done on the summed doses.

To assess the risk of inducing secondary malignancies, the integral dose was calculated in the patient volume as follows:

$$ \mathrm{ID}\kern0.5em =\kern0.5em {\mathrm{D}}_{\mathrm{mean}}\cdot \mathrm{V}\cdot \uprho $$

where Dmean is the mean dose, V is the volume and ρ the tissue density, which was considered to be 1 g/cm3.

Statistical tests of dosimetric, biologic conformity, treatment verification and quality (MUs and delivery time) differences between s-IMRT and IMAT were done using a two-sided Wilcoxon matched-pair signed rank test with SPSS software version 20.0 (SPSS Inc., Chicago, IL). Differences were considered statistically significant for p-values <0.05.

Treatment verification

The delivered dose distributions of all IMAT and s-IMRT treatment plans were verified with the 3D dosimetry system Delta4 (Scandidos, Uppsala, Sweden). The Delta4 phantom has 1069 p-type disc-shaped Silicon diodes with a diameter of 1 mm and axial size 0.05 mm, in a central region (6x6 cm) spaced per 5 mm, outside the central region spaced per 10 mm. Global gamma indices [14] were determined in the Delta4 control software for the criteria of 3 % dose difference and 3 mm distance-to-agreement, the normalization dose being the prescribed dose.

The delivery treatment time was also recorded from the start of the first beam till the end of the last beam.


Dosimetrical and biological conformity results

Population average dose-volume parameters of targets and OARs for both strategies are shown in Table 2. Most of the differences between s-IMRT and IMAT for target and OAR dose levels were significant (Table 2). Mean V27Gy of ipsi- and contralateral parotids were improved by 16.4 % (p = 0.007) and 17.5 % (p = 0.003) in the IMAT plans, respectively. For the volume of interest that comprised the pharyngeal constrictor muscles (PC) and the one that combined the swallowing structures (SS), both D50% and D98% levels were significantly improved in the IMAT plans, while D2% did not show on average any important differences.

Table 2 Population average dose levels for s-IMRT and IMAT treatments

Analysis of each summed dose distribution separately revealed larger differences for some cases in comparison with average data. Additional file 1: Figure S1 showed similar or highly reduced D50% and D98% levels of PC and SS with up to 54.9 % for IMAT compared to IMRT. D2% differences of the same structures varied from -2.8 % to 3.6 %. For a cT4a pN2 cM0 oropharynx cancer case the results were plotted in Fig. 1. IMAT ipsilateral and contralateral parotid mean dose was lowered by 24.9 % and 5.3 %, respectively, while V27 was also improved by 24.9 % and 6.7 %, respectively. Additional file 2: Figure S2 provides for the same patient a visual image of how IMAT isodoses better spare the parotids on every treatment phase, except for the contralateral parotid on the third treatment phase. The s-IMRT median dose of the swallowing structures was 22.7 % and 12.3 % higher for the PC and SS structures.

Fig. 1
figure 1

Radar charts of dose/volume levels comparing s-IMRT and IMAT plans summed on the pretreatment CT for a patient with a cT4a pN2 cM0 oropharynx cancer. The areas are formed by connecting the values belonging to one of the two treatment strategies. Abbreviations: s-IMRT = step-and-shoot IMRT; IMAT = intensity modulated arc therapy; GTVT = gross tumor volume of the primary tumor; GTVN = GTV of the metastatic lymph nodes; CTVHR = high risk clinical target volume; PTVHR = high risk planning target volume; CTVEN = elective neck CTV; PTVEN = elective neck PTV; PRV = planning organ-at-risk volume; SS = swallowing structures – includes superior pharyngeal constrictor, middle pharyngeal constrictor, inferior pharyngeal constrictor, upper esophageal sphincter, supraglottic larynx and upper 2 cm of the esophagus; PC = pharyngeal constrictors – includes superior pharyngeal constrictor, middle pharyngeal constrictor and inferior pharyngeal constrictor; Dx% = dose received by x% of the volume; V27Gy = % of the volume that receives at least 27 Gy

GTVT quality factors (QF) were significantly better for the IMAT-plans (p < 0.001 for both DPBN-phases) with a maximum difference from IMRT factors of -2.1 % in phase I and II (Table 3). When the QF values of GTVT and GTVN were considered as one group, a Wilcoxon test also showed significantly (p < 0.001) lower values for IMAT.

Table 3 Quality factors (%) of s-IMRT and IMAT dose-painting by numbers plans of the first two treatment phases

The integral dose inside the patient was lower for IMAT in 7 patients with a maximum difference of 14.4 % (Table 4). For 2 cases, IMAT integral dose was with 2.8 and 3.7 % higher, while for one case it was similar.

Table 4 Integral Dose (J) calculated on the pretreatment CT scans inside the patient volume

Delivery results

The data on dosimetric verification of treatment plans, number of MUs and delivery time are presented in Table 5. The number of MUs was significantly higher for IMAT than for s-IMRT plans. All treatments were delivered on the Elekta linacs while measuring with the Delta4 system. Mean percentages of the points with gamma index >1 were 99.7 ± 0.6 % versus 98.7 ± 1.3 % for s-IMRT and IMAT, respectively. On average, s-IMRT treatment times of phases I, II and III were 6:52, 6:39 and 5:00 min, respectively. IMAT delivery was significantly shorter: 4:13, 3:44 and 2:56 min, respectively.

Table 5 Delivery analysis of each treatment phase: number of monitor units (MUs), treatment time (minutes:seconds) - registered from the beginning of the first beam till the end of the last beam - and the percentage of the measurement points with γ < 1 - which compares Delta4 measurements and Pinnacle dose calculations


In this study we demonstrated the feasibility of a new 18F-FDG-PET-voxel intensity-based IMAT class solution in our adaptive dose-painting strategy. DPBN imposes heavy demands to treatment planning and delivery technology including high dose gradients and high degree of fluence modulation. Until now 18F-FDG-PET-voxel intensity-based s-IMRT has been used in DPBN trials for head-and-neck cancer [7, 8]. Probably due to limited modulation of s-IMRT in comparison to IMAT, biologic conformity of s-IMRT-based DPBN plans was not systematic. Severe toxicity was also experienced with DPBN-based dose escalation s-IMRT treatments [7] e.g. mucosal ulcers and dysphagia. Preliminary data from our clinical trials suggests that severe toxicity was correlated with dose-escalation and with smoking and alcohol abuse during and after treatment. There was no indication that severe toxicity could be caused by IMRT or the dose painting concept itself. The search to decrease the toxicity of dose-escalated treatments by reducing the OAR doses lead to the development of 18F-FDG-PET-voxel intensity-based IMAT.

We proposed a method using multiple partial arcs that would ensure higher flexibility and better conformity in dose distributions. In IMAT plans, the dose-painting quality factor evaluating biologic conformity of treatment plans showed significantly better values than for s-IMRT plans. Although most of the differences in D2% and D98% for the target structures were significant, they were not clinically relevant on both individual and average patient data.

Previous studies showed that in complex-shaped targets as head-and-neck cancer using a single arc was not sufficient to reach the quality of IMRT plans [15]. Most publications report similar or slightly better IMAT plans (dose coverage and homogeneity in targets) in comparison with dynamic IMRT or static IMRT at conventional dose prescription, when double or triple full arcs were used [4, 5, 1520].

IMAT has the potential to decrease doses to OARs [4, 5, 1521] that becomes crucially important in dose-escalation treatment protocols. In s-IMRT plans we usually sacrifice the ipsilateral parotid, if the tumor or metastatic lymph node is at the level of the gland. A previous study [22] showed that adapting treatment to anatomic changes in the glands could lower doses even in the ipsilateral parotid. The current study results demonstrate that IMAT could further spare both parotids by significantly reducing Dmean (by 14.0 % and 12.7 % for the ipsilateral and contralateral parotid, respectively) and V27Gy (by 16.4 % and 17.5 % for the ipsilateral and contralateral parotid, respectively) as compared to s-IMRT, both treatments being adaptive. Vanetti et al. [5] obtained a significant reduction of parotid Dmean using two full arcs against dynamic IMRT by 14.0 % and 13.5 % for the ipsilateral and contralateral parotid, respectively. Other studies employing double or triple full arcs demonstrated similar contributions to parotid Dmean by IMAT and IMRT [15, 16, 19]. With IMAT we could also better spare other OARs - the spinal cord, brainstem, pharyngeal constrictor muscles and swallowing structures - except the mandible (Table 2) a finding in agreement with Vanetti et al. [5]. Reduction in doses to OARs was even more evident in individual patients (Additional file 1: Figure S1 and Additional file 2: Figure S2).

Most retrospective [4, 5, 1520] and prospective [21] IMAT-IMRT comparisons report a lower number of MUs for the arc therapy plans, although some report higher MUs [16, 26]. Our IMAT plans had on average higher MUs than IMRT plans, which might be of less concern due to the following reasons. The integral dose inside the patient (Table 4) showed that for IMAT plans the theoretical risk of developing secondary malignancies was less or similar to the s-IMRT plans. By delivering more dose to the surrounding tissues, based on the linear-non-threshold-model, an increase in secondary neoplasm can be expected [23]. Furthermore, the latest commercially available MLC devices are characterized with very low leakage and hence the overall patient exposure to low doses is highly reduced [2426]. The linac head and MLC leakage is even further reduced in the case of flattening filter free linacs [27].

Our IMAT plan measurements showed that a discrete dose calculation per 8° was not always a good approximation of the arc delivery (data not shown). There are two reasons likely to cause the lower gamma index percentages for the IMAT QA: one is the discretization (to a limited number of gantry angles) used in the dose computation, the second is the higher number of Monitor Units (MU) for the IMAT plans together with smaller fields. By CP refinement and further optimization, gamma percentages higher than 94.3 % could be achieved. The single arc plans of Bertelsen et al. [18] gave slightly better average percentages for gamma < 1 (99.6 ± 0.5 %) as compared to the multiple partial arc plans of the present study (98.7 ± 1.3 %). Korreman et al. [28] got 89.6 %, 88.5 % and 92.2 % for double arc plans corresponding to 3, 7 and 11 dose-painting-by-contours prescribed levels for one individual case. The reliability of Delta4 phantom measurements for IMRT and IMAT was studied by Bedford et al. [29]. We would like to point out that the spacing of 0.5 and 1 cm between the Delta4 array detectors was rather limited for the high dose gradients of DPBN plans.

Rotational treatment shortens delivery time thus improving comfort for the patient and reducing risk of patient movement during treatment, which cannot be neglected [30]. By eliminating parts of the arcs with very low contribution and linking them in one arc, IMAT treatment delivery time became in the range 1.3 to 5.2 min, which despite dose escalation, was comparable or even faster than published data on single, double or triple full arc plans using conventional prescription doses to targets [5, 1520].


IMAT implementation in an adaptive dose-escalation biological image-guided treatment strategy lead to significantly better biological quality factors in comparison to s-IMRT. The method was superior in reducing dose to OARs, biologic conformity and treatment efficacy. IMAT treatment delivery was significantly faster than s-IMRT and the multiple partial arc class solution made it one of the fastest reported in literature. Hence more patients can be treated per day with more comfort and less intra-fraction movements.

Ethics approval and consent to participate

The data used in this manuscript are part of the study registerend on under NCT01341535. This study was approved by the Ethics Committe of Ghent University Hospital.



2-deoxy-2-(18F)fluoro-D-glucose positron emitting tomography


Elekta’s atlas-based autosegmentation


anatomy-based segmentation tool


biology-based segmentation tool


control points


computed tomography


high risk clinical target volume


elective neck clinical target volume

Dmean :

mean dose



Dx% :

dose received by x % of the volume


gross tumor volume of pathological lymph node(s)


gross tumor volume of the primary tumor




intensity-modulated arc therapy


monitor unit






pharyngeal constrictor


planning risk volume


elective neck planning target volume


high risk planning target volume


quality factor


region of interest


step-and-shoot intensity modulated radiotherapy


IBM statistical package for the social sciences


swallowing structures


maximal standardised uptake value

VxGy :

volume receiving x Gy


  1. Nutting CM, Morden JP, Harrington KJ, et al. Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (parsport): a phase 3 multicentre randomised controlled trial. Lancet Oncol. 2011;12(2):127–36.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Gupta T, Agarwal J, Jain S, et al. Three-dimensional conformal radiotherapy (3d-crt) versus intensity modulated radiation therapy (imrt) in squamous cell carcinoma of the head and neck: a randomized controlled trial. Radiother Oncol. 2012;104(3):343–8.

    Article  CAS  PubMed  Google Scholar 

  3. Kam MK, Leung SF, Zee B, et al. Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients. J Clin Oncol. 2007;25(31):4873–9.

    Article  PubMed  Google Scholar 

  4. Johnston M, Clifford S, Bromley R, et al. Volumetric-modulated arc therapy in head and neck radiotherapy: a planning comparison using simultaneous integrated boost for nasopharynx and oropharynx carcinoma. Clin Oncol (R Coll Radiol). 2011;23(8):503–11.

    Article  CAS  Google Scholar 

  5. Vanetti E, Clivio A, Nicolini G, et al. Volumetric modulated arc radiotherapy for carcinomas of the oro-pharynx, hypo-pharynx and larynx: a treatment planning comparison with fixed field imrt. Radiother Oncol. 2009;92(1):111–7.

    Article  PubMed  Google Scholar 

  6. Van Gestel D, van Vliet-Vroegindeweij C, Van den Heuvel F, et al. Rapidarc, smartarc and tomotherapy compared with classical step and shoot and sliding window intensity modulated radiotherapy in an oropharyngeal cancer treatment plan comparison. Radiat Oncol. 2013;8:37.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Duprez F, De Neve W, De Gersem W, et al. Adaptive dose painting by numbers for head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2011;80(4):1045–55.

    Article  PubMed  Google Scholar 

  8. Berwouts D, Olteanu LA, Duprez F, et al. Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: Initial results of the phase i clinical trial. Radiother Oncol. 2013;107(3):310–6.

    Article  PubMed  Google Scholar 

  9. Vanderstraeten B, Duthoy W, De Gersem W, et al. [18f]fluoro-deoxy-glucose positron emission tomography ([18f]fdg-pet) voxel intensity-based intensity-modulated radiation therapy (imrt) for head and neck cancer. Radiother Oncol. 2006;79(3):249–58.

    Article  CAS  PubMed  Google Scholar 

  10. Gregoire V, Eisbruch A, Hamoir M, et al. Proposal for the delineation of the nodal ctv in the node-positive and the post-operative neck. Radiother Oncol. 2006;79(1):15–20.

    Article  PubMed  Google Scholar 

  11. De Gersem W, Claus F, De Wagter C, et al. An anatomy-based beam segmentation tool for intensity-modulated radiation therapy and its application to head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2001;51(3):849–59.

    Article  PubMed  Google Scholar 

  12. De Gersem W, Claus F, De Wagter C, et al. Leaf position optimization for step-and-shoot imrt. Int J Radiat Oncol Biol Phys. 2001;51(5):1371–88.

    Article  PubMed  Google Scholar 

  13. Vercauteren T, De Gersem W, Olteanu LA, et al. Deformation field validation and inversion applied to adaptive radiation therapy. Phys Med Biol. 2013;58(15):5269–86.

    Article  PubMed  Google Scholar 

  14. Low DA, Harms WB, Mutic S, et al. A technique for the quantitative evaluation of dose distributions. Med Phys. 1998;25(5):656–61.

    Article  CAS  PubMed  Google Scholar 

  15. Verbakel WF, Cuijpers JP, Hoffmans D, et al. Volumetric intensity-modulated arc therapy vs. Conventional imrt in head-and-neck cancer: a comparative planning and dosimetric study. Int J Radiat Oncol Biol Phys. 2009;74(1):252–9.

    Article  PubMed  Google Scholar 

  16. Guckenberger M, Richter A, Krieger T, et al. Is a single arc sufficient in volumetric-modulated arc therapy (vmat) for complex-shaped target volumes? Radiother Oncol. 2009;93(2):259–65.

    Article  PubMed  Google Scholar 

  17. Clemente S, Wu B, Sanguineti G, et al. Smartarc-based volumetric modulated arc therapy for oropharyngeal cancer: a dosimetric comparison with both intensity-modulated radiation therapy and helical tomotherapy. Int J Radiat Oncol Biol Phys. 2011;80(4):1248–55.

    Article  PubMed  Google Scholar 

  18. Bertelsen A, Hansen CR, Johansen J, et al. Single arc volumetric modulated arc therapy of head and neck cancer. Radiother Oncol. 2010;95(2):142–8.

    Article  PubMed  Google Scholar 

  19. Alvarez-Moret J, Pohl F, Koelbl O, et al. Evaluation of volumetric modulated arc therapy (vmat) with oncentra masterplan(r) for the treatment of head and neck cancer. Radiat Oncol. 2010;5:110.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Rao M, Yang W, Chen F, et al. Comparison of elekta vmat with helical tomotherapy and fixed field imrt: Plan quality, delivery efficiency and accuracy. Med Phys. 2010;37(3):1350–9.

    Article  PubMed  Google Scholar 

  21. Fung-Kee-Fung SD, Hackett R, Hales L, et al. A prospective trial of volumetric intensity-modulated arc therapy vs conventional intensity modulated radiation therapy in advanced head and neck cancer. World J Clin Oncol. 2012;3(4):57–62.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Olteanu LA, Berwouts D, Madani I, et al. Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting imrt for head-and-neck cancer. Radiother Oncol. 2014;111(3):348–53.

    Article  PubMed  Google Scholar 

  23. United States. General Accounting Office. Radiation Standards: Scientific Basis Inconclusive, and EPA and NRC Disagreement Continues. Washington D.C.: UNT Digital Library. Accessed 20 Mar 2016.

  24. Van de Walle J, Martens C, Reynaert N, et al. Monte carlo model of the elekta sliplus accelerator: Validation of a new mlc component module in beam for a 6 mv beam. Phys Med Biol. 2003;48(3):371–85.

    Article  PubMed  Google Scholar 

  25. Thompson CM, Weston SJ, Cosgrove VC, et al. A dosimetric characterization of a novel linear accelerator collimator. Med Phys. 2014;41(3):031713.

    Article  CAS  PubMed  Google Scholar 

  26. Kantz S, Sohn M, Troeller A, et al. Impact of mlc properties and imrt technique in meningioma and head-and-neck treatments. Radiat Oncol. 2015;10:184.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Georg D, Knoos T, McClean B. Current status and future perspective of flattening filter free photon beams. Med Phys. 2011;38(3):1280–93.

    Article  PubMed  Google Scholar 

  28. Korreman SS, Ulrich S, Bowen S, et al. Feasibility of dose painting using volumetric modulated arc optimization and delivery. Acta Oncol. 2010;49(7):964–71.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Hoogeman MS, Nuyttens JJ, Levendag PC, et al. Time dependence of intrafraction patient motion assessed by repeat stereoscopic imaging. Int J Radiat Oncol Biol Phys. 2008;70(2):609–18.

    Article  PubMed  Google Scholar 

  30. Bedford JL, Lee YK, Wai P, et al. Evaluation of the delta4 phantom for IMRT and VMAT verification. Phys Med Biol. 2009;54(9):N167–76.

    Article  PubMed  Google Scholar 

Download references


This work is part of head-and-neck cancer research sponsored by scientific grants from the Agency for Innovation by Science and Technology, the Foundation against Cancer and the Flemish League against Cancer. The funding sources had no role in the design of the study or collection, analysis, or interpretation of data or in writing the manuscript.

The corresponding author confirms that he had full access to all the data in the study and has final responsibility for the decision to submit for publication.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Dieter Berwouts.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

DB helped including patients, helped in the target delineation and treatment planning of s-IMRT-plans, gathered the data and helped in the statistical analysis and writing of the manuscript. LO helped in the writing of the manuscript, treatment quality and statistical data analysis. LO also helped with the treatment delivery verification and in making the figures for the manuscript. BS made the IMAT treatment plans and helped in improving the delivery process. IM helped writing the manuscript and helped in the interpretation of the data. FD included patients, checked target and OARs delineations and helped in writing the manuscript. WDN participated in the design and coordination of the study and helped writing the manuscript. TV en WDG improved the treatment planning process, helped in writing the software to sum plans and did the quality analysis of treatment planning. WDG also helped writing the technical parts of this study. All authors read and approved the final manuscript.

Additional files

Additional file 1: Figure S1.

Individual patient IMAT and s-IMRT dose levels (D2%, D50%, D98%) for the volume of interest that comprises the pharyngeal constrictor muscles (PC) and the one that combines the swallowing structures (SS). Each graph presents the 10 individual patient values of one volume of interest dose level for the total summed dose distribution on the pretreatment CT. X and y axes show the s-IMRT and IMAT dose values (Gy). The marker position above or below the identity line (dotted) correspond to a higher or lower IMAT dose level value in comparison with s-IMRT, respectively. Abbreviations: s-IMRT = step-and-shoot IMRT; IMAT = intensity modulated arc therapy; PC = pharyngeal constrictor – includes superior pharyngeal constrictor, middle pharyngeal constrictor and inferior pharyngeal constrictor; SS = swallowing structures – includes superior pharyngeal constrictor, middle pharyngeal constrictor, inferior pharyngeal constrictor, upper esophageal sphincter, supraglottic larynx and upper 2 cm of the esophagus; Dx% = dose received by x% of the volume. (TIF 792 kb)

Additional file 2: Figure S2.

s-IMRT (first row) and IMAT (second row) dose distributions for the 3 treatment phases of a patient with a cT4a pN2 cM0 oropharynx cancer. Isodoses are displayed on the CT transverse images. For phases I and II the contrast-enhanced 18F-FDG-PET image set is superposed on the CT. The regions of interest contours are drawn as follows: GTVT and GTVN in red, CTVHR in purple, PTVHR in blue and the parotids in green (colorwash). Abbreviations: s-IMRT = step-and-shoot IMRT; IMAT = intensity modulated arc therapy; GTVT = gross tumor volume of the primary tumor; GTVN = GTV of the metastatic lymph nodes; CTVHR = high risk clinical target volume; PTVHR = high risk planning target volume. (TIF 1747 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Berwouts, D., Olteanu, L.A.M., Speleers, B. et al. Intensity modulated arc therapy implementation in a three phase adaptive 18F-FDG-PET voxel intensity-based planning strategy for head-and-neck cancer. Radiat Oncol 11, 52 (2016).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: