- 1Ph.D. Program in Environmental and Occupational Medicine, Kaohsiung Medical University and National Health Research Institutes, Kaohsiung, Taiwan
- 2Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- 3Department of Radiation Oncology, Faculty of Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- 4Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- 5Department of Medical Imaging, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan
- 6Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
Purpose: This research aimed to analyze electron stream effect (ESE) during magnetic resonance image guided radiotherapy (MRgRT) for breast cancer patients on a MR-Linac (0.35 Tesla, 6MV), with a focus on the prevention of redundant radiation exposure.
Materials and methods: RANDO phantom was used with and without the breast attachment in order to represent the patients after breast conserving surgery (BCS) and those received modified radical mastectomy (MRM). The prescription dose is 40.05 Gy in fifteen fractions for whole breast irradiation (WBI) or 20 Gy single shot for partial breast irradiation (PBI). Thirteen different portals of intensity-modulated radiation therapy were created. And then we evaluated dose distribution in five areas (on the skin of the tip of the nose, the chin, the neck, the abdomen and the thyroid.) outside of the irradiated field with and without 0.35 Tesla. In addition, we added a piece of bolus with the thickness of 1cm on the skin in order to compare the ESE difference with and without a bolus. Lastly, we loaded two patients’ images for PBI comparison.
Results: We found that 0.35 Tesla caused redundant doses to the skin of the chin and the neck as high as 9.79% and 5.59% of the prescription dose in the BCS RANDO model, respectively. For RANDO phantom without the breast accessory (simulating MRM), the maximal dose increase were 8.71% and 4.67% of the prescription dose to the skin of the chin and the neck, respectively. Furthermore, the bolus we added efficiently decrease the unnecessary dose caused by ESE up to 59.8%.
Conclusion: We report the first physical investigation on successful avoidance of superfluous doses on a 0.35T MR-Linac for breast cancer patients. Future studies of MRgRT on the individual body shape and its association with ESE influence is warranted.
1 Introduction
Breast cancer has replaced lung cancer as the most frequently diagnosed cancer globally in the latest report by the International Agency for Research on Cancer (1). An estimated 685,000 women died from breast cancer in 2020, corresponding to 1 in every 6 cancer deaths in women (2). Breast cancer patients nowadays often are treated by breast-conserving surgery (BCS) followed by radiation therapy (RT). RT after BCS is indicated for ductal carcinoma in situ (stage 0), since RT greatly lowers the risk of local recurrence (3). In early (stage I-II) invasive breast cancer, adjuvant RT followed by BCS remains a standard of care (4). Based upon high level evidence for those with stage III–IV, RT is essential for selected patients after neoadjuvant systemic treatment followed by BCS or modified radical mastectomy (MRM) (4). Since RT may be recommended for all stages, the implications of different modalities of image guided radiotherapy (IGRT) are the keys to precision treatment for patients with breast cancer after BCS or MRM as well as for those with recurrence or distant metastasis (5).
The advance of both modern on-board imaging and planning software are required for adaptive treatment planning which had long been proposed (6). It has been challenging that thoracic radiotherapy such as that for breast irradiation has large inter-fractional and intra-fractional organ movement variation causing unwanted radiation-induced complications such as cardiac and pulmonary toxicities. Some used mechanical ventilation and surface-image mapping system to reduce the within-patient variability of breathing for breast cancer patients (7). A mounting body of evidence strongly supports IGRT (8–17). Until recently, image guidance was only performed prior to radiation treatment without simultaneous tracking. Magnetic resonance imaging-guided radiotherapy (MRgRT) has lately emerged as the state-of-the-art science in precision RT. It enables Radiation Oncologists to actually see the targets in relation to surrounding normal tissue during treatment (18, 19). Immediately after inspecting anatomical changes via MR guidance, Radiation Oncologists are able to recontour, recalculate and then execute a whole new set of treatment plan according to geographical variability at that specific treatment fraction (20–23). MRgRT offers not only novel online adaptation, but specifically better IGRT due to superior soft tissue contrast.
Up till now, IGRT in the form of MRgRT has not been prevalent. Cone beam computed tomography (CBCT) and mega-voltage CT (MVCT) remain the clinical standard for volumetric localization nowadays. It was reported that low-field MR provides better anatomic visualization of radiation targets and nearby organs at risk (OAR) as compared to CBCT or MVCT (24). Besides, MRgRT avoids redundant radiation exposure inherent to IGRT via CT (25). On the other hand, the influence from electron-stream effect (ESE) during MRgRT has been reported by few and not yet fully evaluated (26). When electrons are subjected to a magnetic field, they can be deflected from their original path, leading to a phenomenon known as the Lorentz force. Interactions between the electron beam and tissue can result in the electron air stream effect (ESE), leading to radiation being deposited outside of the intended treatment area, and the electron return effect, causing increased radiation dose to the skin and at the air/tissue interface (27). Out-of-field skin dose due to spiraling contaminant electrons in a perpendicular magnetic field has been observed (28). The data are limited for the assessment of ESE, modifiers of ESE and joint effects of radiotherapy and ESE during 0.35 Tesla MRgRT. To address these issues, we designed the current study to investigate ESE for breast cancer patients.
2 Materials and methods
We conducted this study on a 0.35-T MR-Linac system (MRIdian, ViewRay Inc., Mountain View, CA, USA) and used RANDO phantom to simulate the postoperative female patients with and without breast preservation (Figure 1). The anthropomorphic RANDO phantom conforms to the standards established by the International Commission on Radiation Units and Measurements (ICRU) Report No. 44. It was scanned with a 5-mm slice thickness using a Computed Tomography (CT) simulator (Brilliance 16 Big Bore, Philips Medical Systems, Cleveland, OH, USA). Following CT-simulation, MR-simulation was performed on MRIdian. The study was approved by the Ethical and Research Committee in the University Hospital (KMUHIRB-E(I)-20220101) and it was conducted under compliance of the Institutional Review Board regulations in accordance with the Helsinki Declaration of 1975 as revised in 1983.
Figure 1 The RANDO phantom that shows (A) without the breast attachment in order to represent the patients after modified radical mastectomy and (B) with the breast attachment in order to represent the patients underwent breast conserving surgery. (C) The same RANDO phantom without the breast attachment that received Computed Tomography simulation with the coil on. (D) The same RANDO phantom with the breast attachment that received Computed Tomography simulation with the coil on.
2.1 Phantom mimicking modified radical mastectomy (MRM)
As shown in Figure 1, we used the anthropomorphic RANDO phantom to simulate breast cancer patients after MRM for treatment planning (Figures 1A, C). The entire structure was contoured and expanded using a 8-cm margin anteriorly and laterally to demonstrate air with the density of 0.0012g/cm as in Figure 2. The external nose is a midline protuberance in the middle of the face. In this study we marked the nasal tip, the tip of external nose, which marks the termination of nasal ridge. The chin (a.k.a. the mental protuberance) lies in the midline of the mandible anteriorly. Figure 2C documents five selected out-of-field locations 3 mm from the surface of the tip of the nose, the chin, the thyroid, the neck, and the abdomen. We specified the skin structure as a 3 mm inner rind automatically created from the external contour (29). Figures 3B, C demonstrates the addition of 1cm-bolus. After all organs at risk (OAR) were contoured manually from axial CT images as described in our previous clinical study (30), we utilized the MRIdian to generate two intensity modulated radiation therapy (IMRT) treatment plans with and without bolus. The total prescribed dose was 40.05 Gy in 15 fractions. Thirteen spaced 6-MV IMRT beams were created and optimized to deliver the prescription dose with 95% PTV coverage as in Figure 3. The same angles with 0°, 15°, 29°, 43°, 72°, 101°, 115°, 130°, 144°, 302°, 317°, 331° and 346° were chosen with mono-isocenter and applied to all plans. Table 1 is the constraints for OAR and planning target volume (PTV). Additionally, we use the software of ADAC Pinnacle 14.0 to make IMRT treatment plans using identical parameters in Table 1. There were four computerized treatment plans made for this MRM RANDO model.
Figure 2 The entire structure was contoured and expanded using a 8-cm margin anteriorly and laterally to demonstrate the air as in (A) axial view and (B) sagittal view. (C) Five selected out-of-field locations 3 mm from the skin on the tip of the nose, the chin, the thyroid, the neck, and the abdomen.
Figure 3 (A) Thirteen spaced 6-MV beams including 0°, 15°, 29°, 43°, 72°, 101°,115°, 130°, 144°, 302°, 317°, 331° and 346° were created and optimized to deliver the prescription dose with a mono-isocenter. The same angles were applied to all plans. The blue area denotes a 1cm-bolus in (B) the lateral view and (C) the front view.
2.2 Phantom mimicking breast conserving surgery (BCS)
The anthropomorphic RANDO phantom with the breast attachments was used to simulate breast cancer patients after BCS for treatment planning (Figures 1B, D). The same process described in 2.1 was performed again for this model of BCS RANDO. The entire structure was contoured and expanded using a 8-cm margin anteriorly and laterally to demonstrate air with the density of 0.0012g/cm as in Figure 2. Figure 2C shows five selected locations 3 mm from the surface on the tip of the nose, the chin, the thyroid, the neck, and the abdomen. Figures 3B, C shows the addition of 1cm-bolus. After all organs at risks (OAR) and region of interest were delineated manually from axial CT images as described in our earlier publication (31, 32), we utilized the MRIdian to create 2 IMRT treatment plans with and without a bolus. The total prescribed dose was 40.05 Gy in 15 fractions. Thirteen spaced 6-MV IMRT beams same as those for MRM RANDO model were fashioned and optimized to deliver the prescription dose to provide 95% PTV coverage. The same angles with 0°, 15°, 29°, 43°, 72°, 101°, 115°, 130°, 144°, 302°, 317°, 331° and 346° were chosen with one mono-isocenter and applied to all plans. Additionally, we use the ADAC Pinnacle 14.0 to make IMRT treatment plans with identical parameters in Table 1. There were four plans produced for this BCS RANDO model.
2.3 Partial breast irradiation (PBI) from 2 patients’ treatment plans
Lastly, we added the images of partial breast irradiation (PBI) in two patients previously treated. Image A has right breast cancer with PVT volume of 4.4cc and image B has left breast cancer with PVT volume of 11cc. Both of them underwent BCS and received the prescribed dose of 20 Gy in one single fraction. The IMRT was performed on the Computerized Treatment Planning System of ViewRay® MRIdian.
3 Results
3.1 MRM
We found that the redundant dose was as high as 3.49 Gy in the skin of the chin and 1.87 Gy in the neck skin when simulating a patient with breast cancer after MRM (Table 2) under 0.35T with a prescribed dose of 40 Gy in 15 fractions. The maximum doses without 0.35T were 0.89 Gy for the skin of the chin and 0.89 Gy in the neck skin (both 2.22% of the prescribed dose). And the additional Pinnacle plan without 0.35T reveals 0.7 Gy for the skin of the chin and 0.97 Gy in the neck skin (1.75% and 2.42% of the prescription dose, respectively). Figure 4 illustrates the redundant doses to the skin of chin and the neck are the most prominent in MRM RANDO model: 8.71% of the prescription dose and 4.67% of the prescription dose, respectively. Figure 5A shows isodose curves deviated toward the chin as compared to that without magnetic field 0.35T (Figure 5B). Because we had expanded 8cm out of the body surface, we were able to scrutinize the dose distribution in the air near the chin and neck (Figures 5C-F). The redundant doses were obviously shown in Figure 5. However, when we added 1-cm bolus, the redundant doses dropped 55% from 3.49 Gy in the skin of the chin to 1.57 Gy; and 58.8% from 1.87 Gy in the neck skin to 0.77Gy, respectively (Figure 6). The bolus effectively avoided redundant doses.
Table 2 Skin doses on RANDO model and the increase percentage of the presecription dose (40Gy/15fx).
Figure 4 In modified radical mastectomy (MRM) model, the percentage of the redundant doses to the skin of (A) the nose, (B) the chin, (C) the neck, (D) the thyroid and (E) the abdomen; The dose increase in the skin of the chin (B) and the neck (C) are the most prominent in MRM RANDO model: 8.71% of the prescription dose and 4.67% of the prescription dose, respectively. When adding 1-cm bolus, the redundant dose percentages dropped from 8.71% to 3.92% and from 4.67% to 1.92% in the chin (B) and neck (C), respectively.
Figure 5 In modified radical mastectomy model, (A) the isodose curves under the magnetic field of 0.35T deviate toward the chin as compared to (B) without the magnetic field 0.35T; the dose distribution in the air near the chin with 0.35T (C) without 0.35T (D) and the neck skin with 0.35T (E) and without 0.35T (F).
Figure 6 In modified radical mastectomy model, all under 0.35 T and (A) the isodose curves deviate toward the chin without bolus as compared to (B) with bolus in light blue; the dose distribution in the air near the chin without bolus (C) with bolus in light blue (D) and the neck skin without bolus (E) and with bolus in light blue (F).
3.2 BCS
There was noteworthy ESE observed in the sagittal planes of the dose distribution for the simulation of patients after BCS (Table 3; Figure 7). We discovered that the redundant doses from ESE were as high as 3.92 Gy in the skin of the chin, 2.24 Gy in the neck skin and 2 Gy in the abdominal skin when simulating a patient with breast cancer after BCS under 0.35T with a prescribed dose of 40 Gy in 15 fractions. Without 0.35T, the skin doses were 1.05 Gy in the skin of the chin, 1 Gy in the neck skin and 1.5 Gy in the abdominal skin when simulating a patient with breast cancer after BCS with a prescribed dose of 40 Gy in 15 fractions. And the additional Pinnacle plan without 0.35T reveals 0.49 Gy for the skin of the chin, 0.91 Gy in the neck skin and 1.09 in the abdominal skin (1.22%, 2.27% and 2.72% of the prescription dose, respectively). Figure 8 shows the redundant doses under the influence of magnetic field to the skin of chin, the neck and the abdominal skin are the most prominent in BCS RANDO model: 9.79% of the prescription dose, 5.59% of the prescription dose and 4.99% of the prescription dose, respectively. It was unique to note the unusual abdominal skin dose which has never been discovered in previous literatures. Figure 7A, C shows isodose curves deviated toward the chin as compared to that without a magnetic field of 0.35T (Figure 7B, D).
Table 3 Skin doses on RANDO model and the increase percentage of the presecription dose (40Gy/15fx).
Figure 7 In breast-conserving surgery model, (A) the isodose curves under the magnetic field of 0.35T deviate toward the chin as compared to (B) without the magnetic field 0.35T; the dose distribution in the air in the mid-plane of the breast (C) with 0.35T (D) without 0.35T.
Figure 8 The percentage of the redundant doses to the skin of (A) the nose, (B) the chin, (C) the neck, (D) the thyroid and (E) the abdomen; The dose increase in the skin of the chin (B) and the neck (C) are the most prominent in breast-conserving surgery (BCS) RANDO model: 9.79% of the prescription dose and 5.59% of the prescription dose, respectively. When adding 1-cm bolus, the redundant doses dropped from 9.79% to 5.07% and from 5.59% to 2.25% in the chin (B) and neck (C), respectively. The abdominal skin (E) was not affected by the bolus since the bolus covered only the chin and neck.
Because we had expanded 8cm out of the body surface, we were able to distinguish the dose distribution in the air near the nose, the chin, the thyroid, the neck and the abdominal skin (Figure 9). The redundant doses were noticeable and even greater than those of MRM RANDO model. When we added 1-cm bolus, the redundant doses dropped 48.2% and 59.8%, from 3.92 Gy in the skin of the chin and 2.24 Gy in the neck skin to 2.03Gy and 0.9 Gy, respectively (Figure 10). The redundant dose to abdominal skin (2Gy to 1.99Gy) was not affected by 1-cm bolus which covers only the chin and the neck (Figures 3B, C). Under the same condition, this demonstrates the beneficial effect of the coverage of 1-cm bolus.
Figure 9 In breast-conserving surgery model, (A) the isodose curves deviate toward the chin as compared to (B) without magnetic field 0.35T; the dose distribution in the air near the neck with 0.35T (C) without 0.35T (D) and near the abdominal skin with 0.35T (E) and without 0.35T (F). The bolus effectively avoided redundant doses.
Figure 10 In breast-conserving surgery model, all under 0.35 T and (A) the isodose curves deviate toward the chin without bolus as compared to (B) with bolus in light blue; the dose distribution in the air near the chin without bolus (C) with bolus in light blue (D) and the neck skin without bolus (E) and with bolus in light blue (F).
3.3 PBI
In the experiment of PBI (Figure 11), we examined the dosimetric data from two patients previously treated with a single shot of 20Gy. The plan A disclosed maximal doses of 0.03 Gy in the skin of the chin, 0.07 Gy in the neck skin, 0.18 Gy in the abdominal skin and 0.09 Gy in the thyroid under 0.35T with a prescribed dose of 20Gy in 1 fraction. The maximum doses without 0.35T were 0.03 Gy in the skin of the chin, 0.07 Gy in the neck skin, 0.13 Gy in the abdominal skin and 0.09 Gy in the thyroid. The plan B did not cover the chin and revealed maximal doses of 0.08 Gy in the neck skin, 0.22 Gy in the abdominal skin and 0.16 Gy in the thyroid under 0.35T with a prescribed dose of 20Gy in 1 fraction. The maximum doses without 0.35T were 0.1 Gy in the neck skin, 0.23 Gy in the abdominal skin and 0.16 Gy in the thyroid. There was scant difference with or without magnetic field 0.35T in both PBI plans (Table 4). The influence from ESE was minimal for right or left PBI.
Figure 11 The isodose curves from two patients previously treated with a single shot of 20Gy. Both of them underwent breast-conserving surgery. (A) The axial view and (B) sagittal view of right breast cancer with a target volume of 4.4cc and (C) the axial view and (D) sagittal view of left breast cancer with a target volume of 11cc.
Table 4 Skin doses of 2 patient plans and the increase percentage of the presecription dose (20Gy/1fx).
4 Discussion
To the best of our knowledge, this is the first study to access redundant doses in both WBI and PBI from 0.35-Tesla MRgRT for breast cancer patients after MRM or BCS. We not only took consideration into contemporary surgical techniques of both MRM and BCS but also modern RT strategies with both WBI and PBI. MRgRT has extended a new horizon with real-time imaging tracking which monitors intra-fractional variation. With the implementation of a combination of MRI and Linear accelerator, one may ponder is RT quality transferable. Ionizing radiation can be carcinogenic. A systematic review and meta-analysis of 762,468 patients based on European or North American populations of female breast cancer patients treated in the period between 1954 and 2007 reported that radiotherapy was associated with an increased risk of secondary non-breast cancer, especially lung cancer, esophageal cancer, and sarcoma (33). CBCT generally contributes to 0.03 Gy per scan (34). MRgRT, unlike CBCT or MVCT in IGRT, has no extra radiation dose from image guidance; it utilizes magnetic field for instantaneous imaging tracking (24). However, unnecessary doses increase because the breast shape is not parallel to the magnetic field (35). It is pressing to know how much the redundant doses out of RT field under the influence of a static magnetic field can be.
The MRLinac used in the present study consists of a split-magnet low-field (0.35 Tesla) MRI scanner with a double focused multi-leaf collimator equipped 6MV linear accelerator (36). Upgrade of the technology from 60Co sources to 6 MV linear accelerator improves the dose distribution and therefore reducing the low dose spread (25). Previous physics findings focused on MRLinac with 60Co and were insufficient for the latest model (19, 20, 37–42). This emphasizes the need for more exploration and guidelines to be incorporated into clinical decision making (43). The influence from ESE has been the latest research topic ever since the application MRgRT in clinical world (39, 44). Lately, Liu et al. has reported that the skin dose on the chin was significantly increased due ESE under 1.5 Tesla magnetic field in their study on esophageal cancer (44). It was as high as 25.2% of the prescription dose, which was even higher than that reported by Park et al., of which the corresponding maximum dose to the patient’s chin skin surface was 16.1% (39).
The purpose of the current research is to analyze ESE during RT for breast cancer patients on a MR Linac (0.35Tesla, 6MV). We discovered 9.79%, 5.59% and 4.99% of the prescription dose in the chin, neck and abdominal skin of the anthropomorphic phantom with breast attachment which was used to simulate breast cancer patients after BCS. On the other hand, 8.71% and 4.67% of the prescription dose in the chin and neck was calculated on the MRM anthropomorphic phantom model. Ten years ago, van Heijst et al. reported a pioneer study on skin dose at 0.35T and found induced effects for WBI with 2 portals or with 7 portals (35). Relative to the situation without magnetic field, the mean skin dose in WBI-2 increased by 9.5% and 12.5% at 0.35 T and 1.5 T, respectively. Although the mean skin dose in WBI with 7 portals was lower than that in WBI-2 (with 2 portals), it increased 8.2% and 6.8% at 0.35 T and 1.5 T, respectively. Though they did not investigate the effect on patients with breast cancer after MRM, they also explored PBI and concluded that the impact of the electron return effect on the skin dose is less prominent in PBI than that in WBI (35). Such finding was also noted in our present study (Table 4). In our daily practice on MRLinac, our medical physicists often employ 12 portals or so for optimization. In the present study, we utilized 13 portals with 0°, 15°, 29°, 43°, 72°, 101°, 115°, 130°, 144°, 302°, 317°, 331° and 346° for the best result of IMRT and still the ESE was marked.
Our current study explored the redundant doses under 0.35T and probed into the prevention measures such as the use of bolus. In our present study, the redundant doses dropped 55% from 3.49 Gy in the skin of the chin to 1.57 Gy; and 58.8% from 1.87 Gy in the neck skin to 0.77Gy, respectively for MRM model with 1-cm bolus. These would be considered unnecessary and not in alignment with ALARA principles. Or for example, this would not be a technology one would want to use in a Li-Fraumeni patient. When we added 1-cm bolus, the redundant doses dropped 48.2% and 59.8%, from 3.92 Gy in the skin of the chin and 2.24 Gy in the neck skin to 2.03Gy and 0.9 Gy, respectively in the BCS model. A recent radiomics study used gradient boosting decision tree and found that SKIN_30Gy is one of the most important factors to predict radiation-induced dermatitis higher than grade 1 (45). Another study reported the volume of skin receiving a dose >35 Gy (SKIN_V35) to be one of the most significant dosimetric predictors associated with >50% probability of radiation-induced dermatitis 2+ toxicity (46). A study working on models for normal tissue complication probability reported that on multivariate analysis, the most predictive model of acute radiation-induced skin toxicity severity was a two-variable model including the skin receiving ≥30 Gy and psoriasis [Rs = 0.32, AUC = 0.84, p < 0.001] (47). Though the skin dose observed in the present study were relatively small, optimal MRgRT should be tailored according to diverse body shapes in each individual in order to reach precision medicine. The role of post-operative radiotherapy has been strengthened by the overall survival benefit seen in breast cancer patients (4, 5). There is unmet and urgent need to improve current treatment outcomes.
MRgRT is the new quantum leap in radiation oncology. Many researchers have found that there are significant associations between unnecessary doses during radiotherapy and cardiac toxicity (10, 48). But the new concern from MRgRT may be the ESE generated with the existence of a magnetic field that work together to increase the unwanted dose (49). Our team proposes taking ESE into consideration in the assessment of clinical relevant complications including skin toxicity. Our previous studies demonstrated that IGRT improved acute skin toxicity with good long-term survival (32). The ultimate goal of this approach is to utilize IGRT in the most sophisticated form, namely, MRgRT, to provide more effective treatment strategies (49–51). We will design clinical trials from this aspect.
The drawbacks of this study include anthropomorphic phantoms limited to a single reference size, which may not be representative of the patient population of various body morphologies. This is a common downside of almost all dosimetric studies. Secondly, our work set out to create a method that could be used to avoid redundant doses from ESE, using 1-cm bolus has accomplished this partially, and not completely. Individually tailored radiotherapy in order to enhance accuracy and safety will minimize unintended exposures and low doses to peripheral organs. In the future, we aim to investigate the ESE effects of diverse patient sizes for better protection.
5 Conclusion
Our simulation study suggests that redundant doses from ESE during 0.35T MRgRT was more prominent in WBI for the BCS model than that in the MRM model. Besides, ESE has minimal effect on PBI. The areas greatly under influence of 0.35T MRgRT for WBI include the chin, neck and the abdomen. Bolus with the thickness of 1cm covering the chin and neck can diminish 48.2% to 59.8% of the prescription dose. For the long term goal of breast cancer treatment, extending survival and setting our sights on a cancer-free life is imperative. In order to achieve the greatest benefit from MRgRT, doses to normal tissues in or out of field must be minimized. With the effect of ESE in mind, the workflows regarding dosimetry and medical physics will be optimized from installation and throughout the lifetime of this new technology.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
Ethics statement
The studies involving human participants were reviewed and approved by Kaohsiung Medical University Hospital. The patients/participants provided their written informed consent to participate in this study.
Author contributions
H-HL and C-YW wrote the first draft of the manuscript, made the table, and contributed to image review and figure legends. S-TC, T-YL, and C-HC participated in treatment planning, dose calculation, and quality assurance. M-YH and C-JH conceived the methodology and supervised the experiment and revised the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported financially by the Kaohsiung Medical University Hospital (KMUH111-1M54) in Taiwan. The funding source had no role in the study design; in the collection, the analysis or the interpretation of data; in the writing or the decision to submit the article for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660
2. Arnold M, Morgan E, Rumgay H, Mafra A, Singh D, Laversanne M, et al. Current and future burden of breast cancer: global statistics for 2020 and 2040. Breast (2022) 66:15–23. doi: 10.1016/j.breast.2022.08.010
3. Stuart KE, Houssami N, Taylor R, Hayen A, Boyages J. Long-term outcomes of ductal carcinoma in situ of the breast: a systematic review, meta-analysis and meta-regression analysis. BMC Cancer (2015) 15:890. doi: 10.1186/s12885-015-1904-7
4. Polgár C, Kahán Z, Ivanov O, Chorváth M, Ligačová A, Csejtei A, et al. Radiotherapy of breast cancer-professional guideline 1st central-Eastern European professional consensus statement on breast cancer. Pathol Oncol Res (2022) 28:1610378. doi: 10.3389/pore.2022.1610378
5. Hennequin C, Belkacémi Y, Bourgier C, Cowen D, Cutuli B, Fourquet A, et al. Radiotherapy of breast cancer. Cancer Radiother (2022) 26(1-2):221–30. doi: 10.1016/j.canrad.2021.11.013
6. Yan D, Vicini F, Wong J, Martinez A. Adaptive radiation therapy. Phys Med Biol (1997) 42(1):123–32. doi: 10.1088/0031-9155/42/1/008
7. Parkes MJ, Green S, Stevens AM, Parveen S, Stephens R, Clutton-Brock TH. Reducing the within-patient variability of breathing for radiotherapy delivery in conscious, unsedated cancer patients using a mechanical ventilator. Br J Radiol (2016) 89(1062):20150741. doi: 10.1259/bjr.20150741
8. Harris EJ, Mukesh M, Jena R, Baker A, Bartelink H, Brooks C, et al. Efficacy and mechanism evaluation. a multicentre observational study evaluating image-guided radiotherapy for more accurate partial-breast intensity-modulated radiotherapy: comparison with standard imaging technique. Southampton (UK: NIHR Journals Library (2014).
9. Hoekstra N, Habraken S, Swaak-Kragten A, Hoogeman M, Pignol JP. Intrafraction motion during partial breast irradiation depends on treatment time. Radiother Oncol (2021) 159:176–82. doi: 10.1016/j.radonc.2021.03.029
10. Lemanski C, Thariat J, Ampil FL, Bose S, Vock J, Davis R, et al. Image-guided radiotherapy for cardiac sparing in patients with left-sided breast cancer. Front Oncol (2014) 4:257. doi: 10.3389/fonc.2014.00257
11. Liang JA, Lee PC, Ku CP, Chen WT, Chung CY, Kuo YC, et al. Effectiveness of image-guided radiotherapy in adjuvant radiotherapy on survival for localized breast cancer: a population-based analysis. Cancer Manag Res (2021) 13:3465–72. doi: 10.2147/CMAR.S299975
12. Pfeffer RM. Radiotherapy for breast cancer: curing the cancer while protecting the heart. Isr Med Assoc J (2018) 20(9):582–3.
13. Piruzan E, Vosoughi N, Mahdavi SR, Khalafi L, Mahani H. Target motion management in breast cancer radiation therapy. Radiol Oncol (2021) 55(4):393–408. doi: 10.2478/raon-2021-0040
14. Postma EL, van Hillegersberg R, Daniel BL, Merckel LG, Verkooijen HM, van den Bosch MA. MRI-Guided ablation of breast cancer: where do we stand today? J Magn Reson Imaging (2011) 34(2):254–61. doi: 10.1002/jmri.22599
15. Ricotti R, Miglietta E, Leonardi MC, Cattani F, Dicuonzo S, Rojas DP, et al. Workload of breast image-guided intensity-modulated radiotherapy delivered with TomoTherapy. Tumori (2020) 106(6):518–23. doi: 10.1177/0300891619868014
16. Van Limbergen E, Weltens C. New trends in radiotherapy for breast cancer. Curr Opin Oncol (2006) 18(6):555–62. doi: 10.1097/01.cco.0000245327.42281.9f
17. Yoo S, O'Daniel J, Blitzblau R, Yin FF, Horton JK. Accuracy and efficiency of image-guided radiation therapy (IGRT) for preoperative partial breast radiosurgery. J Radiosurg SBRT (2020) 6(4):295–301.
18. Charaghvandi RK, den Hartogh MD, van Ommen AM, de Vries WJ, Scholten V, Moerland MA, et al. MRI-Guided single fraction ablative radiotherapy for early-stage breast cancer: a brachytherapy versus volumetric modulated arc therapy dosimetry study. Radiother Oncol (2015) 117(3):477–82. doi: 10.1016/j.radonc.2015.09.023
19. Acharya S, Fischer-Valuck BW, Mazur TR, Curcuru A, Sona K, Kashani R, et al. Magnetic resonance image guided radiation therapy for external beam accelerated partial-breast irradiation: evaluation of delivered dose and intrafractional cavity motion. Int J Radiat Oncol Biol Phys (2016) 96(4):785–92. doi: 10.1016/j.ijrobp.2016.08.006
20. Henke LE, Contreras JA, Green OL, Cai B, Kim H, Roach MC, et al. Magnetic resonance image-guided radiotherapy (MRIgRT): a 4.5-year clinical experience. Clin Oncol (R Coll Radiol) (2018) 30(11):720–7. doi: 10.1016/j.clon.2018.08.010
21. Kumar S, Holloway L, Roach D, Pogson E, Veera J, Batumalai V, et al. The impact of a radiologist-led workshop on MRI target volume delineation for radiotherapy. J Med Radiat Sci (2018) 65(4):300–10. doi: 10.1002/jmrs.298
22. Guidolin K, Yaremko B, Lynn K, Gaede S, Kornecki A, Muscedere G, et al. Stereotactic image-guided neoadjuvant ablative single-dose radiation, then lumpectomy, for early breast cancer: the SIGNAL prospective single-arm trial of single-dose radiation therapy. Curr Oncol (2019) 26(3):e334–e40. doi: 10.3747/co.26.4479
23. Whiteside L, McDaid L, Hales RB, Rodgers J, Dubec M, Huddart RA, et al. To see or not to see: evaluation of magnetic resonance imaging sequences for use in MR linac-based radiotherapy treatment. J Med Imaging Radiat Sci (2022) 53(3):362–73. doi: 10.1016/j.jmir.2022.06.005
24. Noel CE, Parikh PJ, Spencer CR, Green OL, Hu Y, Mutic S, et al. Comparison of onboard low-field magnetic resonance imaging versus onboard computed tomography for anatomy visualization in radiotherapy. Acta Oncologica (2015) 54(9):1474–82. doi: 10.3109/0284186X.2015.1062541
25. Chiloiro G, Boldrini L, Meldolesi E, Re A, Cellini F, Cusumano D, et al. MR-guided radiotherapy in rectal cancer: first clinical experience of an innovative technology. Clin Trans Radiat Oncol (2019) 18:80–6. doi: 10.1016/j.ctro.2019.04.006
26. Raaijmakers AJ, Raaymakers BW, van der Meer S, Lagendijk JJ. Integrating a MRI scanner with a 6 MV radiotherapy accelerator: impact of the surface orientation on the entrance and exit dose due to the transverse magnetic field. Phys Med Biol (2007) 52(4):929–39. doi: 10.1088/0031-9155/52/4/005
27. Nachbar M, Mönnich D, Boeke S, Gani C, Weidner N, Heinrich V, et al. Partial breast irradiation with the 1.5 T MR-linac: first patient treatment and analysis of electron return and stream effects. Radiother Oncol (2020) 145:30–5. doi: 10.1016/j.radonc.2019.11.025
28. Malkov VN, Hackett SL, van Asselen B, Raaymakers BW, Wolthaus JWH. Monte Carlo Simulations of out-of-field skin dose due to spiralling contaminant electrons in a perpendicular magnetic field. Med Phys (2019) 46(3):1467–77. doi: 10.1002/mp.13392
29. Eekers DB, In 't Ven L, Roelofs E, Postma A, Alapetite C, Burnet NG, et al. The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology. Radiother Oncol (2018) 128(1):37–43. doi: 10.1016/j.radonc.2017.12.013
30. Lee H-H, Hou M-F, Wei S-Y, Lin S-D, Luo K-H, Huang M-Y, et al. Comparison of long-term outcomes of postmastectomy radiotherapy between breast cancer patients with and without immediate flap reconstruction. PloS One (2016) 11(2):e0148318. doi: 10.1371/journal.pone.0148318
31. Lee H-H, Hou M-F, Chuang H-Y, Huang M-Y, Tsuei L-P, Chen F-M, et al. Intensity modulated radiotherapy with simultaneous integrated boost vs. conventional radiotherapy with sequential boost for breast cancer – a preliminary result. Breast (2015) 24(5):656–60. doi: 10.1016/j.breast.2015.08.002
32. Lee H-H, Chen C-H, Luo K-H, Chuang H-Y, Huang C-J, Cheng Y-K, et al. Five-year survival outcomes of intensity-modulated radiotherapy with simultaneous integrated boost (IMRT-SIB) using forward IMRT or tomotherapy for breast cancer. Sci Rep (2020) 10(1):4342. doi: 10.1038/s41598-020-61403-6
33. Grantzau T, Overgaard J. Risk of second non-breast cancer after radiotherapy for breast cancer: a systematic review and meta-analysis of 762,468 patients. Radiother Oncol (2015) 114(1):56–65. doi: 10.1016/j.radonc.2014.10.004
34. White EA, Cho J, Vallis KA, Sharpe MB, Lee G, Blackburn H, et al. Cone beam computed tomography guidance for setup of patients receiving accelerated partial breast irradiation. Int J Radiat Oncol Biol Phys (2007) 68(2):547–54. doi: 10.1016/j.ijrobp.2007.01.048
35. Van Heijst TC, Den Hartogh MD, Lagendijk JJ, van den Bongard HD, Van Asselen B. MR-guided breast radiotherapy: feasibility and magnetic-field impact on skin dose. Phys Med Biol (2013) 58(17):5917. doi: 10.1088/0031-9155/58/17/5917
36. Sahin B, Zoto Mustafayev T, Gungor G, Aydin G, Yapici B, Atalar B, et al. First 500 fractions delivered with a magnetic resonance-guided radiotherapy system: initial experience. Cureus (2019) 11(12):e6457. doi: 10.7759/cureus.6457
37. Groot Koerkamp ML, Vasmel JE, Russell NS, Shaitelman SF, Anandadas CN, Currey A, et al. Optimizing MR-guided radiotherapy for breast cancer patients. Front Oncol (2020) 10:1107. doi: 10.3389/fonc.2020.01107
38. An HJ, Kim JI, Park JM. Electron streams in air during magnetic-resonance image-guided radiation therapy. PloS One (2019) 14(5):e0216965. doi: 10.1371/journal.pone.0216965
39. Park JM, Shin KH, J-i K, Park S-Y, SH J, Choi N, et al. Air–electron stream interactions during magnetic resonance IGRT. Strahlentherapie und Onkologie (2018) 194(1):50–9. doi: 10.1007/s00066-017-1212-z
40. Jeon SH, Shin KH, Park SY, Kim JI, Park JM, Kim JH, et al. Seroma change during magnetic resonance imaging-guided partial breast irradiation and its clinical implications. Radiat Oncol (2017) 12(1):103. doi: 10.1186/s13014-017-0843-7
41. Fischer-Valuck BW, Henke L, Green O, Kashani R, Acharya S, Bradley JD, et al. Two-and-a-half-year clinical experience with the world's first magnetic resonance image guided radiation therapy system. Adv Radiat Oncol (2017) 2(3):485–93. doi: 10.1016/j.adro.2017.05.006
42. Kim J-i, Park S-Y, Lee Y, Shin K, Wu H-G, Park JM. Effect of low magnetic field on dose distribution in the partial-breast irradiation. Prog Med Physics (2015) 26:208. doi: 10.14316/pmp.2015.26.4.208
43. Verkooijen HM, Henke LE. Sensible introduction of MR-guided radiotherapy: a warm plea for the RCT. Front Oncol (2021) 11(872). doi: 10.3389/fonc.2021.652889
44. Liu H, Ding S, Wang B, Li Y, Sun Y, Huang X. In-air electron streaming effect for esophageal cancer radiotherapy with a 1.5 T perpendicular magnetic field: a treatment planning study. Front Oncol (2020) 10:607061. doi: 10.3389/fonc.2020.607061
45. Feng H, Wang H, Xu L, Ren Y, Ni Q, Yang Z, et al. Prediction of radiation-induced acute skin toxicity in breast cancer patients using data encapsulation screening and dose-gradient-based multi-region radiomics technique: a multicenter study. Front Oncol (2022) 12. doi: 10.3389/fonc.2022.1017435
46. Lee T-F, Sung K-C, Chao P-J, Huang Y-J, Lan J-H, Wu H-Y, et al. Relationships among patient characteristics, irradiation treatment planning parameters, and treatment toxicity of acute radiation dermatitis after breast hybrid intensity modulation radiation therapy. PloS One (2018) 13(7):e0200192. doi: 10.1371/journal.pone.0200192
47. Pastore F, Conson M, D'Avino V, Palma G, Liuzzi R, Solla R, et al. Dose-surface analysis for prediction of severe acute radio-induced skin toxicity in breast cancer patients. Acta Oncol (2016) 55(4):466–73. doi: 10.3109/0284186X.2015.1110253
48. Crockett CB, Samson P, Chuter R, Dubec M, Faivre-Finn C, Green OL, et al. Initial clinical experience of MR-guided radiotherapy for non-small cell lung cancer. Front Oncol (2021) 11:617681. doi: 10.3389/fonc.2021.617681
49. Park JM, Shin KH, Kim JI, Park SY, Jeon SH, Choi N, et al. Air-electron stream interactions during magnetic resonance IGRT : skin irradiation outside the treatment field during accelerated partial breast irradiation. Strahlenther Onkol (2018) 194(1):50–9. doi: 10.1007/s00066-017-1212-z
50. De-Colle C, Nachbar M, Mönnich D, Boeke S, Gani C, Weidner N, et al. Analysis of the electron-stream effect in patients treated with partial breast irradiation using the 1.5 T MR-linear accelerator. Clin Transl Radiat Oncol (2021) 27:103–8. doi: 10.1016/j.ctro.2020.12.005
Keywords: magnetic resonance image guided radiotherapy (MRgRT), magnetic resonance imaging (MRI), electron stream effect, breast cancer, image-guided radiotherapy (IGRT), skin dose, visibility
Citation: Lee H-H, Wang C-Y, Chen S-T, Lu T-Y, Chiang C-H, Huang M-Y and Huang C-J (2023) Electron stream effect in 0.35 Tesla magnetic resonance image guided radiotherapy for breast cancer. Front. Oncol. 13:1147775. doi: 10.3389/fonc.2023.1147775
Received: 19 January 2023; Accepted: 26 June 2023;
Published: 13 July 2023.
Edited by:
Vishruta Dumane, Icahn School of Medicine at Mount Sinai, United StatesReviewed by:
Dr. Udhaya Kumar. S, Baylor College of Medicine, United StatesElizabeth M. Nichols, University of Maryland Medical Center, United States
Copyright © 2023 Lee, Wang, Chen, Lu, Chiang, Huang and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chih-Jen Huang, Y2NqamhoQGttdS5lZHUudHc=