- Open Access
Different IMRT solutions vs. 3D-Conformal Radiotherapy in early stage Hodgkin’s lymphoma: dosimetric comparison and clinical considerations
© Fiandra et al.; licensee BioMed Central Ltd. 2012
- Received: 7 September 2012
- Accepted: 27 October 2012
- Published: 2 November 2012
Radiotherapy in Hodgkin’s Lymphoma (HL) is currently evolving with new attempts to further reduce radiation volumes to the involved-node concept (Involved Nodes Radiation Therapy, INRT) and with the use of intensity modulated radiotherapy (IMRT). Currently, IMRT can be planned and delivered with several techniques, and its role is not completely clear. We designed a planning study on a typical dataset drawn from clinical routine with the aim of comparing different IMRT solutions in terms of plan quality and treatment delivery efficiency.
A total of 10 young female patients affected with early stage mediastinal HL and treated with 30 Gy INRT after ABVD-based chemotherapy were selected from our database. Five different treatment techniques were compared: 3D-CRT, VMAT (single arc), B-VMAT (“butterfly”, multiple arcs), Helical Tomotherapy (HT) and Tomodirect (TD). Beam energy was 6 MV, and all IMRT planning solutions were optimized by inverse planning with specific dose-volume constraints on OAR (breasts, lungs, thyroid gland, coronary ostia, heart). Dose-Volume Histograms (DVHs) and Conformity Number (CN) were calculated and then compared, both for target and OAR by a statistical analysis (Wilcoxon’s Test).
PTV coverage was reached for all plans (V95% ≥ 95%); highest mean CN were obtained with HT (0.77) and VMAT (0.76). B-VMAT showed intermediate CN mean values (0.67), while the lowest CN were obtained with TD (0.30) and 3D-CRT techniques (0.30). A trend of inverse correlation between higher CN and larger healthy tissues volumes receiving low radiation doses was shown for lungs and breasts. For thyroid gland and heart/coronary ostia, HT, VMAT and B-VMAT techniques allowed a better sparing in terms of both Dmean and volumes receiving intermediate-high doses compared to 3D-CRT and TD.
IMRT techniques showed superior target coverage and OAR sparing, with, as an expected consequence, larger volumes of healthy tissues (lungs, breasts) receiving low doses. Among the different IMRT techniques, HT and VMAT showed higher levels of conformation; B-VMAT and HT emerged as the planning solutions able to achieve the most balanced compromise between higher conformation around the target and smaller volumes of OAR exposed to lower doses (typical of 3D-CRT).
- Planning Target Volume
- Dose Distribution
- Clinical Target Volume
- Helical Tomotherapy
- Coronary Ostium
The overall prognosis of patients affected with early stage Hodgkin’s lymphoma (HL) is excellent, with an overall 15-year survival rate of more than 80%. A combined modality treatment approach, consisting of a brief chemotherapy (2 to 4 cycles of Adriamycin, Bleomycin, Vinblastine, Dacarbazine: ABVD cycle) followed by 20–30 Gy Involved-Field Radiation Therapy (IFRT), is suggested as the current standard of care. With most HL patients achieving a long lasting complete remission and long-term survival after therapy, the risk of long term complications, particularly second malignancies, such as breast and lung cancer [1, 2] and cardiovascular disease [3, 4] is of paramount importance.
Radiotherapy has substantially changed over the last 20 years in terms of radiation volumes and doses reduction. Two major critical points are currently under investigation: a further shrinkage of treatment volumes towards the involved-node(s) concept (INRT)  and the employment of highly conformal techniques such as Intensity-Modulated Radiation Therapy (IMRT). INRT can theoretically reduce radiation-induced late effects by reducing treatment volumes, while IMRT has the potential to substantially improve dose distribution, reducing the amount of healthy tissues exposed to intermediate-high dose level. Such a dosimetric gain could be particularly important in mediastinal disease , for which there is growing evidence that highly conformal irradiation modalities may improve critical organs sparing with clinically significant consequences.
We herein report on a comparative planning study of INRT actually delivered with 3D-CRT and different known IMRT solutions (HT and VMAT) in a cohort of young female patients affected with early stage HL and mediastinal involvement. The present study also introduces TomoDirect as a rapid, low-modulation solution of the Tomotherapy HI-ART II platform, and a specific volumetric IMRT approach designed in our Institution for lymphoma patients and named Butterfly-VMAT (B-VMAT, so called for typical butterfly-shaped low isodoses), based on multiple arcs (two coplanar arcs and one non-coplanar arc). The primary aim of the study was to investigate the most appropriate planning solution, in terms of plan quality (target coverage and OAR sparing) and treatment efficiency.
Ten consecutive female patients affected with early stage HL with mediastinal involvement, submitted to radiotherapy from April 2008 to September 2009 at our Institutions, were enrolled onto the present study. Median age was 26.5 years old. All patients received standard combined modality treatment with 3 or 4 cycles of ABVD chemotherapy (respectively favourable or unfavourable early stages according to EORTC prognostic risk factors), followed by Involved Nodal Radiotherapy (INRT) at a dose of 30 Gy/15 fractions (according to EORTC H10 protocol radiotherapy guidelines). Two out of 10 patients had mediastinal bulky disease at presentation, 2/10 hilar involvement, 4/10 supraclavicular involvement, 6/10 supraclavicular and upper neck involvement. None of the patients had extranodal disease. Patients with axillary involvement were excluded.
All patients had pre and post-chemotherapy contrast-enhanced Computed Tomography (CT) and FDG-PET Computed Tomography (FDG-PET-CT) scans. All patients were contoured on Oncentra Masterplan TPS station Version 4.1 (Nucletron, Veenendal, The Netherlands). CT simulation scans were all non contrast-enhanced, with a slice thickness of 3 mm; images were acquired in treatment position, using immobilization devices usually consisting of thermoplastic masks.
Clinical Target Volume (CTV) and Organs-at-Risk (OAR) were contoured by the same 2 radiation oncologists.
INRT CTV was defined according to EORTC-GELA guidelines , as the pre-chemotherapy CTV (contoured on the basis of pre-chemotherapy CT and PET-CT scans) modified according to post-chemotherapy anatomic boundaries. As recommended by EORTC-GELA guidelines, major blood vessels and heart were excluded whenever possible. A 8 mm isotropic margin was added to CTV to generate Planning Target Volume (5 mm to compensate for target motion of mediastinal lymph nodes and 3 mm for set-up error, with a daily cone-beam CT IGRT protocol).
Lungs, thyroid, breasts, heart and coronary ostia were defined as organs at risk (OAR) and delineated on CT datasets; for the breast glandular tissue we used a standard window (0) and width (500) level. The heart was defined from the auricles to the tip of the organ, including thus all cardiac chambers. The origin of the coronary arteries was defined as the outer circumference of the proximal aorta, extending from the tip of the auricles to the bulb of the aorta (usually 2.5-3 cm, with slight individual differences). Non-target tissue was defined as the patient’s volume covered by the CT scan (external patient contour) minus the PTV.
Dose objectives for traditional dose optimization on HT and TD
Conventional 3D-CRT plans consisted of 2 anterior-posterior parallel opposed fields (gantry angles 0°-180°), shaped with multi-leaf collimators on beam’s-eye-view. Calculations were performed with Oncentra Masterplan using Collapsed Cone algorithm.
VMAT plans (both single-arc VMAT and B-VMAT) were computed on Elekta Monaco treatment planning system (TPS version 3.0). Monaco TPS allows a peculiar dose optimization by biological cost-functions for both PTV and OARs, using 3 main functions: the Poisson statistics cell-kill model, the serial complication model and the parallel complication model. Three-dimensional dose distributions are converted to either a EUD for the Poisson cell kill model and Serial complication model or a fraction of organ damaged for the parallel complication model . These biological parameters are then included in the overall objective score for plan optimization. Each parameter is changed during optimization process to minimize the objective function describing coverage of PTV and sparing of each OAR. All VMAT plans were planned for Elekta Axesse Linear Accelerator, with its specific Beam Modulator (with 4 mm leaf width at isocenter) employed to achieve the desired beam’s fluence. The XVMC/VEF Monte Carlo algorithm with a 3% variance was used for all cases . Calculation grid was set to 3 mm.
HT and TD plans were created and optimized using TomoTherapy Hi-Art version 4.0.5 TPS (Accuray, Inc., Sunnyvale, CA). For each plan, the treatment field width, pitch (the TD pitch is defined as the distance of couch travel in centimetres per sinogram projection) and modulation factor need to be selected. Then, the dose distribution for each beamlet that passes through the target is calculated by a convolution/superposition algorithm. Once the beamlet calculation step is completed, the optimization process begins and an iterative least-squares minimization method is used to optimize the objective function. During the final dose computation the optimized sinogram is converted to the delivery sinogram, taking into account for leaf fluence output factors and latency data. A fine calculation grid (256x256 pixels) was used both in the optimization and calculation processes.
HT treatments were planned with a modulation factor between 2.6 and 3.7, a pitch of 0.287 and a field width of 25 mm, that can be considered a suitable compromise between cranio-caudal dose spread (lower than a 50 mm field width) and treatment time (lower than a 10 mm field width).
In TD plans, only a two opposed beam configuration was investigated because it better reproduces the standard 3D-CRT technique. A planning modulation factor between 2.0 and 2.2 and a jaw width of 25 mm were used. The pitch value was set to the default value that is one tenth of the field width (2.5 mm/projection for the 25 mm beam).
Quantitative evaluation was performed by means of cumulative dose-volume histograms (DVHs). Analyzed parameters for PTV included Dmean, V95, V107, Conformation Number (CN) and Homogeneity Index (HI). Plan conformity was evaluated using the CN proposed by van’t Riet et al.  which takes into account the overlap of the prescription isodose line with the PTV as well as the dose spilling over normal tissue. CN is defined as CN = TV 2 PI / TV x V PI where VPI is the volume of the prescription isodose, TV is the planning target volume, and TVPI is the planning target volume covered by the prescription isodose. The maximum CN value is 1 as it is achieved for an ideal plan . Homogeneity index was defined by the equation HI =(D 2 -D 98 )/D p where D2 and D98 are respectively doses received by 2% and 98% of volume while Dp is the prescription isodose.
Analyzed parameters for OAR were mean dose and representative Vd. For each plan the delivery treatment time was estimated. The Wilcoxon matched-paired signed-rank test was used to compare the results among all different 5 techniques. The threshold for statistical significance was p≤0.05. All statistical tests were two-sided and were performed using the Systat version 7.0.1 (Systat Software, Inc.225 Chicago, USA).V4, V5 and V20 for lungs and breasts were plotted with CN by scatterplot.
Comparison of mean dosimetric parameters computed for 3D-CRT, TD, B-VMAT, VMAT and HT
428.7 ± 195.6
Non target tissue
All dose and volumes data were calculated as mean values of the 10 considered patients. Mean doses to the PTV were almost identical. Dmean varied from a minimum value of 29.9 Gy for HT to a maximum value of 30.6 Gy for 3D-CRT. The best target coverage according to ICRU 50 definitions was obtained with HT and TD (V90% = 99.1 and 99.2, respectively), even if the target coverage was optimal also for 3D-CRT, VMAT and B-VMAT, as shown in Table 2. 3D-CRT, B-VMAT and VMAT techniques had higher values of V107% (5%, 5.5% and 4.3%). Conformation Number reached a maximum value of 0.77 with HT, followed by VMAT with 0.76; B-VMAT had an intermediate value of 0.67, while TD achieved CN value of 0.3 like 3D-CRT. Homogeneity Index values of HT (HI = 0.07) and TD (HI = 0.1) were lower than all other techniques.
Dmean showed comparable values between HT and VMAT (1.2 ± 0.9 and 0.9 ± 0.4), but significant difference in terms of reduced mean dose of B-VMAT (p<0.05) compared with all others techniques may be observed (Table 2).
V4 values for 3D-CRT and TD were respectively 4.5% and 3.7%, while for VMAT and HT V4 values were respectively 6.2% and 5.4%. For B-VMAT, the V4 value was similar to 3D-CRT (4.6%). V15 and V20were low for all different techniques (range 0.3-1.6 for V15 and 0.1-1.3 for V20). Figure 3 shows the correlation between CN values and V4 and V20; a trend for an inverse correlation is appreciable only for V4.
Dmean for thyroid gland were lower for HT, VMAT and B-VMAT (14.4, 13.5 and 13.5 Gy) compared to TD and 3D-CRT (17.3 and 17.7 Gy). From the analysis of the values of each single patient (not reported in the manuscript), come out as only techniques able to achieve higher CN values (more than 0.6) are ever able to satisfy the dose objectives indicated for thyroid.
Mean dose as well as V20 values were comparable for all techniques; treatment plans with higher CN values did not translate into a substantial sparing of this organ at risk, as in most of cases coronary ostia were distant from target volumes.
Mean Dose received by the whole heart was similar (range 3.1 – 5.1 Gy) for all different techniques.
Non target tissue
No significative differences were found in terms of Dmean to the whole considered body; however the minimum value was reached by B-VMAT technique (3.1 Gy) while 3D-CRT had the maximum mean value of 4.1 Gy.
All techniques had clinically acceptable treatment times. IMRT techniques showed higher treatment times (a mean values of 7.2 minutes for HT, 6.2 minutes for VMAT (single arc) and 12 minutes for B-VMAT), while 3D-CRT and TD were significantly faster (3.2 and 4.4 minutes).
Each planning method gives different values of CN based on its degree of modulation. Figures 3a and 3b show the trend of “low” doses (V4,V5) and “high” doses (V20) as a function of CN for all different techniques, respectively for lungs (Figure 3a) and breast (Figure 3b). For lungs, volumes receiving low doses (V5) started from 20% for lower CN techniques (corresponding to 3D-CRT and TD) to 50% values for higher CN techniques. An opposite trend is shown for volumes receiving “high” doses (V20), shifting from 15% for lower CN approaches to roughly 5% for higher CN techniques (HT and VMAT). For breast tissues, a same trend was evident for volumes receiving low doses (V4), but not for volumes receiving higher doses (V20).
There is growing evidence that highly conformal irradiation modalities, like different IMRT approaches, may improve critical organs sparing by improving conformity [6, 7, 12–15], with potentially clinical significant consequences in haematological malignancies.
The open question is whether IMRT might lead to a lower dose to the surrounding organs and whether the rate of late complications (in particular lung and cardiac toxicity) could be really reduced with IMRT.
In this comparative planning study, we evaluated different photons IMRT solutions applying the INRT concept, in comparison with the actual reference technique 3D-CRT.
Helical Tomotherapy and VMAT were tested as very highly conformal techniques for PTV coverage, with also the potential advantage of a faster delivery solution for VMAT (one rotation only). B-VMAT was specifically developed in our Institution for HL patients with mediastinal involvement, in order to achieve a highly conformal solution lowering radiation exposure of lungs and breasts. TD represented a feasible and simple alternative planning solution for Tomotherapy if a low degree of modulation is desired.
All different IMRT techniques were able to better conform the dose to PTV compared to 3D-CRT, even if the standard 3D-CRT approach lead to a valid target coverage, satisfying ICRU criteria (V95%> 95%); better PTV coverage achieved by IMRT is depending of course on the IMRT ability, regardless of different technical approaches, to modulate the intensity of each radiation beam, resulting on a higher conformal delivery of radiation dose to PTV. Among different IMRT techniques, HT and VMAT showed the best level of conformity to PTV (Table 2, p<0.05 for CN); VMAT and B-VMAT had higher values of the maximum dose (V107%), however better results in terms of homogeneity of dose inside PTV are promised for future version of Monaco software. All different IMRT solutions were also better in terms of lowering mean doses to certain OAR (thyroid gland, heart and coronary ostia,), as already shown by other Authors in similar planning comparison studies[7, 12, 13]. For such organs, in which probably a lower mean dose is potentially correlated to a lower incidence of late toxicity, IMRT confirms its advantage in our series, with all different modulated techniques able to better spare thyroid gland; it is reasonable that lowering the radiation dose to the thyroid gland could reduce the risk of late toxicity as hypothyroidism and second cancer .
A substantial avoidance of heart and coronary ostia has been however achieved independently from IMRT, by simply applying the INRT concept other than the wider IFRT approach (in 8 out of our 10 patients, these structures received very low doses), as previously shown by Koeck et al. , reporting no significant difference in cardiac Dmean between 3D-CRT and IMRT when using INRT. Some authors stated that the aim of heart sparing could be best achieved with IMRT . Anyway, the individual magnitude of clinical benefit related to a possible IMRT dosimetric gain is hard to predict, mainly depending on adjunctive risk factors (patient anatomy, entity of mediastinal involvement, cardiac comorbidity). In the near future, at least in critical anatomical presentations and in clinical cases at risk for cardiac toxicity, new different approaches, such as proton therapy, could probably further reduce cardiac radiation doses (a strong reduction of heart exposure as well as of radiation doses to critical cardiac subunits was reported by Hoppe et al. ).
One of the aims of IMRT in supradiaphragmatic HL patients is to reduce radiation exposure to lungs; Dmean to lungs was similar for all different technical approaches, including 3D-CRT; all IMRT techniques were able to significantly reduce volumes receiving high doses (>20 Gy); this could be expected to translate into a lower incidence of acute radiation pneumonitis (Girinsky et al.  reported a grade >2 lung toxicity in 10% of the cases with mean dose of 12.8 Gy and in 5% with average V20 of 25% in treating HL patients with mediastinal masses). Opposite to a reduction of V20 values, IMRT techniques resulted in an increase of V5 parameter. For low doses pulmonary volumes (V5), higher was the CN of each different technique, higher were the corresponding V5 values; on the other hand, there was an inverse correlation between CN and lungs V20 (as the CN decreases, higher V20 values are obtained). The slope of the correlation curves shown in Figure 3 suggests that the CN achievable with different techniques could be considered as a potential endpoint (the best compromise between low and high doses volumes) for planning.
The impact of low dose radiation exposure to large breasts’ volume on the risk of developing a secondary cancer is currently unknown; there are some clear data showing a risk reduction with lower doses and smaller volumes , but there are still uncertainties on which dose distribution to the breasts is the most conservative . Comparing Dmean between 3D-CRT and IMRT we find comparable results; in our experience the B-VMAT solution, specifically designed as our class solution for lymphoma patients involving the mediastinum, seems to be the most appropriate, obtaining Dmean values of 0.7 Gy (little bit lower than those achieved with other planning solutions, p<0.05). Dmean values obtained in our study with all different techniques are in any case comparable to those reported in other experiences , even if with a broad range of V4 and CN values, strongly dependent on patients’ specific anatomy (Figure 3).
The dose to non-target tissue did not significantly vary among all different techniques (slightly higher for techniques with higher CN values).
Although some experience are reported in literature  about the comparison of treatment plans resulting from optimization methods based on physical dose or biological parameters, the present study is the first experience evaluating volumetric IMRT techniques based on radiobiological planning in treating HL patients, as well as the first experience comparing them with Tomotherapy-based solution (classical HT); radiobiological optimization, specifically part of the Monaco IMRT planning process, was able to respect all dose constraints and to obtain satisfactory dose distribution, both for PTV coverage and OAR’s sparing. A planning option that has not been investigated in the present study, but that can achieve similar dose distribution, is traditional IMRT with equidistant fields, an approach already tested by other groups with the use of 9 static coplanar IMRT fields .
IMRT reduces high doses to OAR to a varying degree, depending on prescription strategies and target paradigm, at the cost of larger volumes irradiated to low/intermediate doses, whose clinical significance is nowadays unknown. Considering all different OAR’s together, we were not able to find out an optimal IMRT technique, with constantly better dosimetric performances; one of the reasons could stand in the anatomical differences between 10 included patients, as well as in the INRT approach itself, able to achieve a good sparing of most OAR even with less conformal techniques . In this setting, IMRT represents a continuum of possible dose distributions, being the choice of the specific technique apparently of minor importance. In our clinical routine the decision to use IMRT or not is made on an individual basis after comparative treatment planning, with the largest benefit to be expected in patients with large mediastinal targets.
A future generation of studies would probably consider different IMRT solutions for different disease presentations at diagnosis, including second cancer risk modeling in the planning process.
IMRT techniques showed superior target coverage and OAR sparing compared to 3D-CRT, with, as expected, larger volumes of some healthy tissues (especially lungs and breasts) receiving low-intermediate doses.
Among different IMRT techniques, HT and VMAT showed the highest levels of conformity; TD performances were, as expected, very similar to those of 3D-CRT; B-VMAT and HT emerged as the planning solutions able to obtain the most appropriate compromise and balance between conformity around the target (typical of IMRT) and limited volumes of OAR receiving low-intermediate radiation doses (typical of 3D-CRT).
- Hodgson DC, Gilbert ES, Dores GM, Schonfeld SJ, Lynch CF, Storm H, Hall P, Langmark F, Pukkala E, Andersson M, Kaijser M, Joensuu H, Fosså SD, Travis LB: Long term solid cancer risk among 5-year survivors of Hodgkin’s lymphoma. J Clin Oncol 2007, 25: 1489-1497. 10.1200/JCO.2006.09.0936View ArticlePubMedGoogle Scholar
- Ng AK, Bernardo MV, Weller E, Backstrand K, Silver B, Marcus KC, Tarbell NJ, Stevenson MA, Friedberg JW, Mauch PM: Second malignancy after Hodgkin disease treated with radiation therapy with or without chemotherapy: Long term risks and risk factors. Blood 2002, 100: 1989-1996. 10.1182/blood-2002-02-0634View ArticlePubMedGoogle Scholar
- Swerdlow AJ, Higgins CD, Smith P, Cunningham D, Hancock BW, Horwich A, Hoskin PJ, Lister A, Radford JA, Rohatiner AZ, Linch DC: Myocardial infarction mortality risk after treatment for Hodgkin disease: a collaborative British cohort study. J Natl cancer Inst 2007, 99: 206-214. 10.1093/jnci/djk029View ArticlePubMedGoogle Scholar
- Moser EC, Noordijk EM, van Leeuwen FE, le Cessie S, Baars JW, Thomas J, Carde P, Meerwaldt JH, van Glabbeke M, Kluin-Nelemans HC: Long-term risk of cardiovascular disease after treatment for aggressive non-Hodgkin lymphoma. Blood 2006, 107: 2912-2919. 10.1182/blood-2005-08-3392View ArticlePubMedGoogle Scholar
- Girinsky T, van der Maazen R, Specht L, Aleman B, Poortmans P, Lievens Y, Meijnders P, Ghalibafian M, Meerwaldt J, Noordijk E: Involved-node Radiotherapy (INRT) in patients with early Hodgkin Lymphoma: Concepts and guidelines. Radiother Oncol 2006, 79: 270-277. 10.1016/j.radonc.2006.05.015View ArticlePubMedGoogle Scholar
- Ghalibafian M, Beaudre A, Girinsky T: Heart and coronary artery protection in patients with mediastinal Hodgkin lymphoma treated with intensity-modulated radiotherapy: dose constraints to virtual volumes or to organs at risk? Radiother Oncol 2008,87(1):82-88. 10.1016/j.radonc.2007.10.016View ArticlePubMedGoogle Scholar
- Weber DC, Peguret N, Dipasquale G, Cozzi L: Involved-node and Involved-field volumetric modulated arc vs fixed beam intensity-modulated radiotherapy for female patients with early-stage supra-diaphragmatic Hodgkin Lymphoma: a comparative planning study. Int J Radiat Oncol Biol Phys 2009, 75: 1578-1586. 10.1016/j.ijrobp.2009.05.012View ArticlePubMedGoogle Scholar
- Alber M, Nusslin F: An objective function for radiation treatment optimization based on local biological measures. Phys Med Biol 1999, 44: 479-493. 10.1088/0031-9155/44/2/014View ArticlePubMedGoogle Scholar
- Fippel M: Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm. Med Phys 1999, 26: 1466-1475. 10.1118/1.598676View ArticlePubMedGoogle Scholar
- van’t Riet A, Mak ACA, Moerland MA, Elders LH, van der Zee W: A conformation number to quantify the degree of conformality in brachytherapy and external beam irradiation: Application to the prostate. Int. J. Radiat Oncol Biol Phys 1997, 37: 731-736. 10.1016/S0360-3016(96)00601-3View ArticlePubMedGoogle Scholar
- Feuvret L, NoeÂ¨l G, Mazeron J-J, Bey P: Conformity index: A review. Int J Radiat Oncol Biol Phys 2006, 64: 333-342. 10.1016/j.ijrobp.2005.09.028View ArticlePubMedGoogle Scholar
- Girinsky T, Pichenot C, Beaudre A, Ghalibafian M, Lefkopoulos D: Is intensity-modulated radiotherapy better than conventional radiation treatment and three-dimensional conformal radiotherapy for mediastinal masses in patients with Hodgkin’s disease, and is there a role for beam orientation optimization and dose constraints assigned to virtual volumes? Int J Radiat Oncol Biol Phys 2006, 64: 218-226. 10.1016/j.ijrobp.2005.06.004View ArticlePubMedGoogle Scholar
- Nieder C, Schill S, Kneschaurek P, Molls M: Comparison of three different mediastinal radiotherapy techniques in female patients: Impact on heart sparing and dose to the breasts. Radiother Oncol 2007, 82: 301-307. 10.1016/j.radonc.2006.10.015View ArticlePubMedGoogle Scholar
- Campbell BA, Hornby C, Cunninghame J, Burns M, MacManus M, Ryan G, Lau E, Seymour JF, Wirth A: Minimising critical organ irradiation in limited stage Hodgkin lymphoma: a dosimetric study of the benefit of involved node radiotherapy. Ann Oncol 2012, 23: 1259-1266. 10.1093/annonc/mdr439View ArticlePubMedGoogle Scholar
- Cella L, Liuzzi R, Conson M, Torre G, Caterino M, De Rosa N, Picardi M, Camera L, Solla R, Farella A, Salvatore M, Pacelli R: Dosimetric predictors of asymptomatic heart valvular dysfunction following mediastinal irradiation for Hodgkin’s lymphoma. Radiat Oncol 2011, 101: 316-321. 10.1016/j.radonc.2011.08.040View ArticleGoogle Scholar
- Bhatti P, Veiga LH, Ronckers CM, Sigurdson AJ, Stovall M, Smith SA, Weathers R, Leisenring W, Mertens AC, Hammond S, Friedman DL, Neglia JP, Meadows AT, Donaldson SS, Sklar CA, Robison LL, Inskip PD: Risk of second primary thyroid cancer after radiotherapy for a childhood cancer in a large cohort study: an update from the childhood cancer survivor study. Radiat Res. 2010,174(6):741-752. 10.1667/RR2240.1PubMed CentralView ArticlePubMedGoogle Scholar
- Koeck J, Abo-Madyan Y, Lohr F, Stieler F, Kriz J, Mueller RP, Wenz F, Eich HT: Radiotherapy for Early Mediastinal Hodgkin Lymphoma According to the German Hodgkin Study Group (GHSG): The Roles of Intensity-Modulated Radiotherapy and Involved-Node Radiotherapy. Int J Radiat Oncol Biol Phys 2012, 83: 268-276. 10.1016/j.ijrobp.2011.05.054View ArticlePubMedGoogle Scholar
- Goodman KA, Toner S, Hunt M, Wu EJ, Yahalom J: Intensity-modulated radiotherapy for lymphoma involving the mediastinum. Int J Radiat Oncol Biol Phys 2005 May 1,62(1):198-206. 10.1016/j.ijrobp.2004.08.048View ArticleGoogle Scholar
- Hoppe BS, Flampouri S, Su Z, Latif N, Dang NH, Lynch J, Joyce M, Sandler E, Li Z, Mendenhall NP: Effective Dose Reduction to Cardiac Structures Using Protons Compared with 3D-CRT and IMRT in Mediastinal Hodgkin Lymphoma. Int J Radiat Oncol Biol Phys 2012., 2: in pressGoogle Scholar
- Hodgson DC, Koh ES, Tran TH, Heydarian M, Tsang R, Pintilie M, Xu T, Huang L, Sachs RK, Brenner DJ: Individualized estimates of second cancer risks after contemporary radiation therapy for Hodgkin lymphoma. Cancer 2007, 110: 2576-2586. 10.1002/cncr.23081View ArticlePubMedGoogle Scholar
- Weber DC, Johanson S, Peguret N, Cozzi L, Olsen DR: Predicted risk of radiation-induced cancers after involved field and involved node radiotherapy with or without intensity modulation for early-stage hodgkin lymphoma in female patients. Int J Radiat Oncol Biol Phys 2011, 81: 490-497. 10.1016/j.ijrobp.2010.05.035View ArticlePubMedGoogle Scholar
- Semenenko VA, Reitz B, Day E, Qi XS, Miften M, Li XA: Evaluation of a commercial biologically based IMRT treatment planning system. Med Phys 2008 Dec,35(12):5851-5860. 10.1118/1.3013556View ArticleGoogle Scholar
- Filippi AR, Ciammella P, Namsyl-Kaletka A: Single institution preliminary experience on dose reduction to organs at risk in thoracic radiotherapy for patients enrolled in EORTC-GELA-IIL H10 study protocol on early stage Hodgkin’s Lymphoma. Eur J Cancer Suppl 2009, 7: 158.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.