Abstract
Purpose: To present dynamic rotating shield brachytherapy (D-RSBT), a novel form of high-dose-rate brachytherapy (HDR-BT) with electronic brachytherapy source, where the radiation shield is capable of changing emission angles during the radiation delivery process.
Methods: A D-RSBT system uses two layers of independently rotating tungsten alloy shields, each with a 180° azimuthal emission angle. The D-RSBT planning is separated into two stages: anchor plan optimization and optimal sequencing. In the anchor plan optimization, anchor plans are generated by maximizing the D90 for the high-risk clinical-tumor-volume (HR-CTV) assuming a fixed azimuthal emission angle of 11.25°. In the optimal sequencing, treatment plans that most closely approximate the anchor plans under the delivery-time constraint will be efficiently computed. Treatment plans for five cervical cancer patients were generated for D-RSBT, single-shield RSBT (S-RSBT), and 192Ir-based intracavitary brachytherapy with supplementary interstitial brachytherapy (IS + ICBT) assuming five treatment fractions. External beam radiotherapy doses of 45 Gy in 25 fractions of 1.8 Gy each were accounted for. The high-risk clinical target volume (HR-CTV) doses were escalated such that the D2cc of the rectum, sigmoid colon, or bladder reached its tolerance equivalent dose in 2 Gy fractions (EQD2 with α/β = 3 Gy) of 75 Gy, 75 Gy, or 90 Gy, respectively.
Results: For the patients considered, IS + ICBT had an average total dwell time of 5.7 minutes/fraction (min/fx) assuming a 10 Ci192Ir source, and the average HR-CTV D90 was 78.9 Gy. In order to match the HR-CTV D90 of IS + ICBT, D-RSBT required an average of 10.1 min/fx more delivery time, and S-RSBT required 6.7 min/fx more. If an additional 20 min/fx of delivery time is allowed beyond that of the IS + ICBT case, D-RSBT and S-RSBT increased the HR-CTV D90 above IS + ICBT by an average of 16.3 Gy and 9.1 Gy, respectively.
Conclusions: For cervical cancer patients, D-RSBT can boost HR-CTV D90 over IS + ICBT and S-RSBT without violating the tolerance doses to the bladder, rectum, or sigmoid. The D90 improvements from D-RSBT depend on the patient, the delivery time budget, and the applicator structure.
Keywords: brachytherapy, intracavitary brachytherapy, rotating shield brachytherapy, gynecological cancer, electronic brachytherapy
INTRODUCTION
The radiation dose deliverable with conventional brachytherapy (BT) is limited by the presence of organs at risk (OARs) adjacent to the tumor. For example, in the case of cervical cancer treated with intracavitary BT, the OARs that need to be taken into consideration are the rectum, bladder, and sigmoid colon. This limitation is clinically important especially in cases where nonradially symmetric tumors need to be treated with radiation sources that produce radially symmetric dose distributions around the applicator. For laterally extended tumors, achieving the desired tumor dose coverage with the single channel intracavitary BT approach may be impossible.
Several approaches have been adopted in overcoming the difficulty of producing nonradially symmetric dose distributions. Interstitial BT is the present treatment of choice, and the American Brachytherapy Society (ABS) recommends the use of Syed/Neblett1, 2, 3 or MUPIT applicators4 for large tumors. To reduce the invasiveness of interstitial BT, a tandem and ring applicator with supplementary interstitial brachytherapy is one option.5 Some recently proposed noninterstitial BT methods may further reduce the invasiveness of this approach. Another approach, called compensator-based intensity modulated brachytherapy (C-IMBT), introduces compensators with nonuniform thickness to adjust the radiation transmission in different directions.6 By introducing rotatable shields and partially shielding the source, rotating shield brachytherapy (RSBT) allows the radiation to be better directed.2, 3, 7, 8, 9
Ebert first introduced RSBT as an option to improve the tumor conformity of BT for single-catheter3 and multicatheter10 treatments. In these studies, the RSBT dose distributions were modeled with a radiation source with the dosimetric characteristics of 192Ir which was partially shielded by an unknown material. The study showed that a shield transmission of 50% is unacceptable.3 To reduce the transmission from an 192Ir source to less than 50% with a lead shield, the thickness of the shield would need to be greater than 2.5 mm.11The thickness of the device used with 192Ir RSBT makes the effective treatment of some cancer types like cervical cancer difficult, due to the limited space available for the device inside of the intrauterine applicators. In order to control the transmission rate with a thinner shield, one feasible option is the use of a high-dose-rate electronic BT (eBT) source. By using tungsten alloy as the shielding material, the overall diameter of the RSBT system can be less than 10 mm and the transmission rate through the tungsten shield is less than 0.1%.8, 9 As the azimuthal emission angles in these previous works3, 8, 9, 10 were assumed to be static during the delivery process, it is possible that RSBT can be delivered using shields that are capable of varying the azimuthal emission angle during treatment delivery. We define dynamic-RSBT (D-RSBT) as a technique capable of using a variable azimuthal emission angle which is distinct from single-shield RSBT (S-RSBT),9 which uses a constant azimuthal emission angle. The D-RSBT source is assumed to be an eBT source, shielded by two layers of rotatable tungsten alloy shields. On each of the shields, there is a 180° azimuthal shield angle opening. By rotating the shields, any azimuthal emission angle that is less than 180° can be formed during the treatment delivery (Fig. 1). To enable D-RSBT to be used in clinical practice, a systematic approach that can fully exploit its capability is necessary. In this work, we propose a solution to help the D-RSBT users to find the best treatment plan in an efficient way.
MATERIALS AND METHODS
While D-RSBT may theoretically be able to form any azimuthal emission angle less than 180° by rotating the shields (Fig. 1), an assumption is made to simplify the study. The field edges, which are the boundaries of the nonshielded regions in the cross sectional view, are aligned with N discrete and evenly spaced azimuthal angles in the polar coordinate system centered at the eBT source. As a result, instead of having an infinite number of different shield arrangements at a single dwell position, the number of different arrangements is N2/2 at a single dwell position. Increasing the value of N may lead to better dose distributions;3 however, it will also increase the optimization time due to the increase in the number of degrees of freedom. In this study, N is set to 32 to balance the dose distribution quality and the optimization time based on a previous study.9 Thus, δφ = 360°/N = 11.25° is the smallest nonzero azimuthal emission angle that can be formed by a shield arrangement, which we will refer to as the baseline azimuthal emission angle.
Radiation source model and dose calculation
The D-RSBT source is assumed to be a Xoft AxxentTM (iCAD Inc., Nashua, NH) eBT source operated at 50 kVp, with two layers of 0.5 mm tungsten alloy shields, each providing less than 0.1% energy transmission through the shield. Each shield has an azimuthal shield angle of 180° (Fig. 1). The shape of the nonshielded region is conical, and can be represented by the zenith emission angle Δθ and the azimuthal emission angle Δφ. In this work, it is assumed that Δθ is a constant 120°, but Δφ can be changed by rotating the shields.
A beamlet, , is defined as the dose rate at the spatial point due to a shielded radiation source at the dwell position (j = 0, …, J−1) with the leading and trailing field edges aligned with azimuth φ and φ +Δφ, respectively. The shield arrangement forms a beamlet with an azimuthal emission angle Δφ. The total dose delivered to the point from all beamlets is calculated as a time-weighted sum of the appropriate beamlets over all dwell positions, emission directions, and angles:
(1) |
where τj, φ, Δφ is the dwell time for beamlet . The source step length along the source trajectory, Δλ, is set to 3 mm.9 Beamlets with baseline azimuthal emission angle, , are called baseline beamlets. It is also assumed that φ = kδφ, k ∈ [0, N − 1] for baseline beamlets.
The beamlets are calculated based on the TG-43 dose calculation model of Rivard et al.12 The dose rates at the points blocked by the shields are set to zero. Thus, the point source approximation is used and the effects of shield emission angle size on the x-ray scatter component of the Xoft AxxentTM dose distribution are negated. The approximations are justified since the emission angle selection method can be applied regardless of the accuracy of the beamlet calculation technique. The exact result of the method will likely have a slight, although unknown, dependence on the beamlet calculation technique. It is assumed that the x-ray intensity of the unshielded source has no azimuthal dependence.
A Vienna tandem-and-ring style applicator13 (Varian Medical Solution, Inc. Palo Alto, CA), with a ring radius of 21.25 mm and six holes for interstitial needles is used with a VariSourceTM192Ir source for the IS + ICBT treatment planning. Interstitial needles will be used in all six holes except those one that will pass through the bladder. The spacing between adjacent source dwell positions is set to 3 mm. The eBT sources for S-RSBT are the same as those used for D-RSBT, but the shields are 0.5 mm single-layer tungsten alloy detachable shields. The azimuthal emission angles of S-RSBT remain fixed during delivery. Unlike the ICBT method, it is assumed that both S-RSBT and D-RSBT are delivered through a single-channel tandem applicator with no ring.
Optimization methods
The optimization process for D-RSBT is separated into an anchor plan optimization stage and an optimal sequencing stage (Fig. 2). In the anchor plan optimization stage, anchor plans are obtained by generating delivery plans with baseline beamlets. In the optimal sequencing stage, the anchor plans are converted into deliverable plans that best approximate the dose distributions of the anchor plans within given delivery time budgets, by assembling the baseline beamlets into deliverable beamlets of larger azimuthal emission angles.
The separation is made based on the fact that any beamlets with azimuthal emission angle Wδφ can be equivalently substituted by a superposition of neighboring baseline beamlets:
(2) |
Equation 2 is an exact case for zero shield transmission, which is a safe assumption for the case under consideration.
The separation makes the optimization of D-RSBT more efficient in three ways. First, compared to the optimization problem with all possible beamlets, the degree of freedom in the anchor plan optimization stage is decreased by a factor of N. Second, as the shadows cast by the shields of neighboring baseline beamlets do not overlap, taking this property into consideration also simplifies the dose optimization. Third, the optimal sequencing problems can be modeled as convex programming problems and efficiently solved.
Anchor plan optimization
The optimization for the anchor plan is done using a simulated annealing algorithm. It attempts to maximize the HR-CTV D90 while keeping the D2cc of all OARs below the GEC-ESTRO recommended limits.14, 15, 16 In order to make the simulated annealing algorithm efficient, a prior optimizer based on the linear least squares method that optimizes the dose homogeneity on the HR-CTV surface17 is applied to obtain initial solutions. Both these methods were applied in previous studies.3, 7, 18, 19, 20, 21 The anchor plans are represented by listing the dwell times of the baseline beamlets, τj, kδφ, δφ, j ∈ [0, J − 1], k ∈ [0, N − 1].
Optimal sequencing
Anchor plans are generally of a higher dose distribution quality as the baseline azimuthal emission angle is small.3 However, delivery with baseline beamlets is impractical due to its lengthy delivery time. The essence of optimal sequencing is combining neighboring baseline beamlets into larger beams to reduce the delivery time without sacrificing dose distribution quality. For each dwell position, the sequencing can be determined by tracking the motion of the leading and trailing field edge.
The optimal sequencing makes the following assumptions: (i) the rotation of the leading and trailing field edge is limited to a single full rotation (360°), (ii) the leading field edge starts from 0°, and (iii) the rotation is counterclockwise. It has been shown theoretically that these assumptions do not affect the delivery time or the dose distribution.22 Therefore, for any given dwell position , denote xj,k, yj,k as the time points when the leading field edge and trailing field edge align with the azimuth (k + 1)δφ, respectively. The dose received by sector k (the region covered by baseline beamlet ) is equivalent to the dose contribution from with dwell time tj,k:
where the initial opening refers to the region between the leading field edge and the trailing field edge at time point 0 for each dwell position, and Tj is the total dwell time at position . By allowing yj, k < 0 and interpreted as Tj − yj, k, the two cases are unified to: tj, k = xj, k − yj, k.22
It is clear that if tj, k = τj, kδφ, δφ for all j and k, then the dose distribution of the anchor plan will be perfectly reproduced. Thus, an expedient treatment plan PT with a delivery time budget of T was rapidly generated from the anchor plan by solving the following optimization problem:
where H(x) is a Heaviside function and , are coefficients for overdosing and underdosing penalties of baseline beamlet . In this study, is the largest dose rate contribution measured with Gy/h to the OAR (i.e., ), and is the largest dose rate contribution to the HR-CTV surface measured with Gy/h (i.e., ).
In Eq. 3, constraints 3a, 3b refer to the nondecreasing nature of the time sequence; constraints 3c, 3d ensure that the resulting solution keeps the azimuthal emission angle less than the maximal azimuthal emission angle; constraint 3e is used to exclude the case with azimuthal emission angle 0°; constraints 3f, 3g limit the delivery time below the given budget.
With a sufficient delivery time budget T, solving the optimal sequencing problem as described in Eq. 3 can generate a perfect reproduction of . For example, if T is set to the delivery time of the corresponding anchor plan, the anchor plan itself is a trivial solution to Eq. 3. However, as the delivery time budget T decreases, the solution to the optimal sequencing problem tends to use more beamlets with larger azimuthal emission angles and a perfect reproduction of may not be achieved in such cases. As a result, the expedient plan PT may be regarded as an approximation of the dose-volume optimized plan . The delivery plan PT generated by solving Eq. 3 is then scaled to make sure that no delivery time constraint and OAR tolerances are violated.
Optimization methods for IS + ICBT and S-RSBT
The gradient-based linear least squares method17 is used for IS + ICBT optimization in order to remain consistent with our previous study.8 The constraint that the sum of the dwell times along all supplemental needles is less than 20% of the total dwell time is considered.5, 23 The S-RSBT delivery plans are generated using the rapid emission angle selection (REAS) method that requires three anchor plans (90°, 180°, and 270°).9
Validation and comparison of D-RSBT using cervical cancer patient data
The plans of five cervical cancer patients, treated with MRI-guided high-dose-rate (HDR) BT using an192Ir radiation source, were retrospectively analyzed in this study after receiving Institutional Review Board approval. The HR-CTV and the OARs of the rectum, sigmoid colon, and bladder were delineated by a radiation oncologist using the GEC-ESTRO recommendations.14 The volumes of the HR-CTV were 41.28 cm3, 45.02 cm3, 76.65 cm3, 97.89 cm3, and 73.58 cm3 for patient #1– #5. For the purpose of this study, it was assumed that the HR-CTV and OARs received a dose of 45 Gy of external beam radiation therapy (EBRT) in 25 fractions of 1.8 Gy/fraction. To each patient, it was also assumed that the same BT plan was delivered for all five treatment fractions.
No explicit prescription doses were given for these cases, as the purpose of this study is to test the achievable tumor coverage. Therefore, instead of having fixed prescription doses, the goal of the optimization is set to achieving the highest D90 HR-CTV under the normal structure tolerance.
The HR-CTV doses [Gy10] and OARs doses [Gy3] are expressed as equivalent doses in 2 Gy fractions of EBRT (EQD2), using α/β values of 10 Gy and 3 Gy, respectively.2 The equation for calculating EQD2 is shown as Eq. 4,24
(4) |
where parameter N indicates the number of fractions and the parameter d refers to the dose per fraction. To account for the repair during the prolonged delivery process, the parameter g is calculated with Eq. 5:
(5) |
where t refers to the delivery time per fraction, T1/2 is the half time for sublethal damage repair. The value of T1/2, was assumed to be 1.5 h according to the estimates by GEC-ESTRO working group II.25 The g parameter for EBRT is set to 1 for all cases.
Both the planning time and the plan quality were considered. The plan quality was established by maintaining a balance between the HR-CTV D90 and the corresponding delivery time. The D2cc of the rectum, sigmoid colon, and bladder were kept under the maximum allowed doses of 75, 75, and 90 Gy,2, 15 respectively. The plan quality is determined by the HR-CTV D90 and the delivery time. The HR-CTV D90 was selected as an important metric due to its connection to clinical outcomes. Cervical cancer patients treated with a combination of EBRT and brachytherapy are associated with significantly improved local tumor control probability if the received HR-CTV D90 is 87 Gy or greater, compared with those cases where the HR-CTV D90 is less than 87 Gy.26, 27 The V100 metric, which is the percentage of the HR-CTV volume receiving 100 Gy in EQD2 units, is also used as a measure of the extent of the HR-CTV hot spots.
For D-RSBT and S-RSBT, the delivery efficiency curves9 were used instead of single delivery plans as they better reflect the trade-off between delivery time (x-axis) and HR-CTV D90s (y-axis) of the planning method used. Similarly, a delivery efficiency curve is considered superior to another if it is located to the top-left of the other delivery curves. The delivery efficiency curves of D-RSBT are obtained by solving Eq. 3 with 100 T-values between 5 min/fx and 60 min/fx. The delivery efficiency curves of S-RSBT are obtained using REAS which enumerates all possible azimuthal emission angles for S-RSBT.
Besides the visual comparison between delivery efficiency curves, the BT plans were also quantitatively compared by the delivery times required for D-RSBT and S-RSBT matched the HR-CTV D90 of IS + ICBT. Note that the HR-CTV D90 values of the RSBT technique can be improved by increasing delivery time. Thus, we also compared the HR-CTV D90 values for D-RSBT and S-RSBT under three different delivery time budgets. The three delivery time budgets were determined by increasing delivery time by an additional 10, 20, and 30 min/fx based on the delivery times required for the IS + ICBT method.
RESULTS
The D-RSBT optimization took about 7 min to finish, the IS + ICBT and S-RSBT optimization took about 4 min and 20 min for each case, respectively.
The delivery efficiency curves for each patient plan using the D-RSBT and S-RSBT methods are shown in Fig. 3, and the plans of IS + ICBT are explicitly labeled as such. For any specified delivery efficiency curve in Fig. 3, a point on that curve represents the highest D90 (y-axis) the corresponding planning method can achieve in the corresponding clinical case within the delivery time budget (x-axis). It also represents the fastest delivery time (x-axis) the corresponding planning method can achieve in the corresponding clinical case within the D90 goal. Therefore, a delivery efficiency curve is considered superior to another if it is located to the top-left of another delivery curve.
As shown in Fig. 3, both D-RSBT and S-RSBT can achieve a higher D90 than IS + ICBT with a longer delivery time. The amount of additional delivery time required is 6.7 min/fx for S-RSBT and 10.1 min/fx for D-RSBT on average. If 10 min/fx of additional delivery time compared to IS + ICBT is allowed, S-RSBT and D-RSBT can boost the HR-CTV D90 from IS + ICBT by an average of 6.2 and 2.8 Gy, respectively. If 20 min/fx of additional delivery time is provided, S-RSBT and D-RSBT can improve the HR-CTV D90 by 9.1 and 16.3 Gy, respectively. In the case of additional 30 min/fx, the D90 improvements are 15.0 and 19.7 Gy.
The more detailed quantitative results are shown in Table 1. And it can be observed that, the HR-CTV V100 values for both RSBT techniques are substantially higher than those for IS + ICBT.
Table 1.
Patient # | Method | HR-CTV D90 (Gy) | Bladder D2cc (Gy) | Sigmoid D2cc (Gy) | Rectum D2cc (Gy) | Delivery time (min/fx) | V100(%) | Azimuthal emission angle (deg) | |
---|---|---|---|---|---|---|---|---|---|
#1 | IS + ICBT | 86.2 | 89.6 | 56.0 | 70.0 | 4.7 | 68.6 | ||
S-RSBT | Match D90 | 86.2 | 86.7 | 53.2 | 68.2 | 5.2 | 78.9 | 292.5 | |
+10 min/fx | 96.7 | 88.7 | 55.3 | 74.8 | 8.4 | 88.0 | 202.5 | ||
+20 min/fx | 99.4 | 88.5 | 55.8 | 74.1 | 19.2 | 89.6 | 90 | ||
+30 min/fx | 99.4 | 88.5 | 55.8 | 74.1 | 19.2 | 89.6 | 90 | ||
D-RSBT | Match D90 | 86.2 | 87.2 | 55.5 | 69.0 | 9.6 | 80.9 | ||
+10 min/fx | 102.8 | 88.6 | 56.4 | 74.3 | 14.8 | 91.3 | |||
+20 min/fx | 102.9 | 88.9 | 56.3 | 74.1 | 15.2 | 91.4 | |||
+30 min/fx | 102.9 | 88.9 | 56.3 | 74.1 | 15.2 | 91.4 | |||
#2 | IS + ICBT | 84.2 | 89.6 | 65.5 | 52.0 | 5.0 | 70.4 | ||
S-RSBT | Match D90 | 84.2 | 82.6 | 72.4 | 58.1 | 11.9 | 81.4 | 168.75 | |
+10 min/fx | 88.3 | 88.9 | 74.2 | 57.0 | 14.1 | 84.4 | 157.5 | ||
+20 min/fx | 92.2 | 82.7 | 70.3 | 52.1 | 25.0 | 86.1 | 90 | ||
+30 min/fx | 103.4 | 87.4 | 73.5 | 53.0 | 33.1 | 91.3 | 78.75 | ||
D-RSBT | Match D90 | 84.2 | 81.2 | 69.2 | 52.1 | 15.0 | 80.5 | ||
+10 min/fx | 84.2 | 81.2 | 69.2 | 52.1 | 15.0 | 80.5 | |||
+20 min/fx | 103.3 | 88.2 | 73.4 | 53.2 | 24.0 | 91.3 | |||
+30 min/fx | 106.6 | 87.6 | 69.4 | 52.3 | 32.5 | 92.0 | |||
#3 | IS + ICBT | 78.7 | 82.4 | 57.3 | 74.7 | 6.0 | 49.0 | ||
S-RSBT | Match D90 | 78.7 | 89.3 | 60.5 | 71.4 | 9.4 | 70.8 | 270 | |
+10 min/fx | 80.3 | 89.2 | 63.5 | 73.2 | 11.1 | 73.2 | 236.25 | ||
+20 min/fx | 82.5 | 88.2 | 69.9 | 73.7 | 23.9 | 74.5 | 112. 5 | ||
+30 min/fx | 83.3 | 87.9 | 71.1 | 73.8 | 26.9 | 75.3 | 101.25 | ||
D-RSBT | Match D90 | 78.7 | 88.1 | 63.7 | 71.2 | 17.7 | 70.2 | ||
+10 min/fx | 75.4 | 88.7 | 63.8 | 70.9 | 16.0 | 66.1 | |||
+20 min/fx | 87.8 | 86.6 | 64.0 | 73.8 | 26.0 | 80.1 | |||
+30 min/fx | 90.1 | 87.1 | 64.9 | 73.4 | 34.8 | 82.9 | |||
#4 | IS + ICBT | 75.0 | 86.3 | 74.6 | 58.1 | 7.4 | 65.3 | ||
S-RSBT | Match D90 | 75.0 | 80.5 | 70.0 | 70.2 | 29.2 | 73.6 | 112.5 | |
+10 min/fx | 74.7 | 89.0 | 73.6 | 72.8 | 12.7 | 75.2 | 247.5 | ||
+20 min/fx | 74.7 | 89.0 | 73.6 | 72.8 | 12.7 | 75.2 | 247.5 | ||
+30 min/fx | 81.6 | 85.3 | 71.6 | 72.8 | 37.4 | 79.5 | 101.25 | ||
D-RSBT | Match D90 | 75.0 | 88.0 | 62.7 | 66.0 | 24.6 | 70.4 | ||
+10 min/fx | 65.4 | 86.9 | 59.4 | 62.7 | 17.4 | 56.8 | |||
+20 min/fx | 77.5 | 87.3 | 62.6 | 66.1 | 27.4 | 72.6 | |||
+30 min/fx | 85.1 | 87.2 | 62.6 | 66.9 | 37.4 | 79.4 | |||
#5 | IS + ICBT | 70.5 | 89.6 | 58.5 | 56.3 | 5.4 | 43.8 | ||
S-RSBT | Match D90 | 70.5 | 87.9 | 63.3 | 51.8 | 6.2 | 71.9 | 315 | |
+10 min/fx | 85.6 | 88.0 | 74.6 | 54.0 | 9.4 | 82.6 | 258.75 | ||
+20 min/fx | 91.4 | 77.1 | 69.0 | 55.5 | 25.4 | 84.8 | 101.25 | ||
+30 min/fx | 102.0 | 87.6 | 73.5 | 58.7 | 32.9 | 91.0 | 90 | ||
D-RSBT | Match D90 | 70.5 | 66.3 | 55.2 | 48.6 | 11.9 | 59.2 | ||
+10 min/fx | 81.0 | 77.4 | 60.6 | 50.8 | 15.4 | 75.0 | |||
+20 min/fx | 104.6 | 88.1 | 69.7 | 52.1 | 25.4 | 92.3 | |||
+30 min/fx | 108.0 | 87.4 | 71.6 | 51.5 | 35.1 | 94.0 |
DISCUSSION
Both the visual and quantitative comparison confirms that D-RSBT is a superior delivery method relative to the S-RSBT and IS + ICBT technique, provided that there is sufficient delivery time. Trading a longer delivery time for a higher dose-quality may be desirable, depending on the clinical goal. For example, a previous study by Dimopoulos et al.26 showed that treatment plans with a HR-CTV D90 less than 87 Gy may result in poor treatment outcomes, especially when treating large tumors. Based on the five cases studied in this work, the average D90 achieved by IS + ICBT is 78.9 Gy and the average delivery time required is 5.7 min/fx. Note that we cannot increase the D90 to 87 Gy by increasing the delivery time in IS + ICBT as at least one of the OARs has already reached the dose limit. If no additional delivery time is allowed, then IS + ICBT is the best choice among the three methods studied in this work. However, if an additional 10 min/fx is allowed, then S-RSBT may be the best method as it can boost the average D90 to 85.1 Gy. D-RSBT can achieve 81.7 Gy on average within the same delivery time frame. If an additional 20 min/fx is allowed, then D-RSBT can achieve the highest average D90 of 95.2 Gy. For S-RSBT, the average D90 is 88.0 Gy.
The reason that S-RSBT and D-RSBT tend to achieve better D90 with longer delivery time is due to the use of the optimal sequencing algorithms. The optimal sequencing algorithms compute the “best” way to approximate the dose distribution of anchor plans with the constraint of delivery time. The anchor plans are obtained using very fine emission angles, yielding high theoretical D90 values. However, the delivery of an anchor plan in clinical practice is not realistic due to the prohibited long delivery time. We thus introduce the sequencing algorithm to compute the “best” approximated plan to the anchor plan for a given clinically reasonable delivery time. The compromise between plan quality and delivery time mainly depends on the emission angles that the RSBT technique can use. As the delivery time increases, the quality of the approximated plan tends to be increasing, since RSBT can use more small emission angles for delivery.
There are several possible ways to improve the D-RSBT technique. (i) Use a more sophisticated D-RSBT applicator design. For example, with the same set of five patient cases in this study and the same anchor plans, if three layers of shielding could be used, the azimuthal emission angle range can be extended from 0° to 240°, the average HR-CTV D90 achieved by 3-layer D-RSBT are 90.1, 97.9, and 99.6 Gy for delivery time set to IS + ICBT delivery time plus additional 10, 20, and 30 min/fx, respectively. Compared to the 2-layer D-RSBT, the 3-layer D-RSBT boosts the D90 by 8.4, 2.7, and 1.0 Gy in these three settings. This design can help to improve the performance of D-RSBT with limited delivery time. But, on the other hand, it complicates the structure of the applicator and increases the applicator size. (ii) Generate anchor plans with a higher quality. Higher quality refers to a higher D90 with a smoother dwell time sequence in this application. While achieving higher D90 is an obvious aim for the dose optimizer, our preliminary study showed that maintaining the smoothness of the dwell time sequence should also be concerned in generating anchor plans. It is possible that, with limited delivery time, those anchor plans with lower D90 but higher smoothness yield delivery plans with higher D90’s. This phenomenon has already been observed in S-RSBT, and that is the rational of using multiple anchor plans in the REAS method.9 (iii) Design properly weighted objective function for the optimal sequencing algorithm. In this study, we include in the optimization objective a weighted error function to incorporate the dose-volume information for the sequencing problem. The experiments showed that it outperformed the unweighted version with respect to the quality of the computed plans. Our experiments also showed that by using the weighted objective function the quality of the anchor plan was able to be well preserved for reduced delivery time even with less demanding smoothness of the dwell time sequences. However, we noticed that only incorporating the dose-volume information was not adequate. A more sophisticated design of the weighting function may be necessary.
The histogram of the delivery time on all the azimuthal emission angles used in a delivery plan is an informative tool to study the characteristics of the clinical cases. Figure 4 shows an example of the emission window size profile for a delivery plan from each of the five cases studied in this paper. The x-axis stands for the azimuthal emission angles (in this case, we have 16 different sizes), and the y-axis is the total delivery time while using a specific emission angle in the delivery plan. Based on this histogram, we can roughly estimate the delivery hardness of this case and read the dominant emission angles used if necessary. For example, the percentages of the delivery time using maximal azimuthal emission angle are 10.4%, 0%, 0.4%, 0.4%, and 14.6% for five cases in this study. Thus, it can be expected that case #1 and #5 are relatively easier than the other cases. The delivery time in case #1 is relatively uniformly distributed, while in the rest of the cases, Δφ = 67.5°, 33.75°, 67.5°, 56.25° seem to be the dominant emission angles for cases #2– #5, respectively.
We can also intuitively predict that, if the delivery time is reduced, the histogram tends to shift right and large emission angles tend to be used. For instance, for case #4 shown in Fig. 5, the proportion of large emission angles used increases quickly as the delivery time decreases. This is the essence of D-RSBT: using large emission angles to reduce the delivery time. This is also the case for S-RSBT in which the emission angle size is the dominant factor for reducing the delivery time. However, unlike the noticeable changes on the emission window size profiles, the DVHs only show a slight change while the dose distribution maps on a single slice do not have visible changes.
For the time spent on the optimization, the cost of D-RSBT is about half of the cost of S-RSBT. This is mainly because of the D-RSBT optimization uses fewer anchor plans than S-RSBT, and the computation of anchor plan dominates the time cost of the optimization.
CONCLUSIONS
Patients who need to be treated with HDR-BT may benefit from the D-RSBT technique. Compared to the existing interstitial BT methods such as IS + ICBT, D-RSBT can generate less invasive plans with a better dose distribution at the expense of longer delivery times. D-RSBT is also likely to yield better plans in some cases where S-RSBT may have difficulty in striking a balance between dose quality and delivery time.
ACKNOWLEDGMENTS
The authors thank Gareth Smith, who proofread and edited this paper. This research was supported in part by the NSF grant CCF-0844765 and the NIH grant K25-CA123112.
References
- Ampuero F., Doss L. L., Khan M., Skipper B. and Hilgers R. D., “The Syed-Neblett interstitial template in locally advanced gynecological malignancies,” Int. J. Radiat. Oncol., Biol., Phys. 9, 1897–1903 (1983). 10.1016/0360-3016(83)90359-0 [DOI] [PubMed] [Google Scholar]
- Webster M. J., Scanderbeg D. J., Watkins W. T., Stenstrom J., Lawson J. D. and Song W. Y., “Dynamic modulated brachytherapy (DMBT): Concept, design, and system development,” Brachytherapy 10, S33–S34 (2011). 10.1016/j.brachy.2011.02.046 [DOI] [Google Scholar]
- Ebert M. A., “Possibilities for intensity-modulated brachytherapy: Technical limitations on the use of non-isotropic sources,” Phys. Med. Biol. 47, 2495–2509 (2002). 10.1088/0031-9155/47/14/309 [DOI] [PubMed] [Google Scholar]
- Martinez A., Cox R. S., and Edmundson G. K., “A multiple-site perineal applicator (MUPIT) for treatment of prostatic, anorectal, and gynecologic malignancies,” Int. J. Radiat. Oncol., Biol., Phys. 10, 297–305 (1984). 10.1016/0360-3016(84)90016-6 [DOI] [PubMed] [Google Scholar]
- Kirisits C., Lang S., Dimopoulos J., Berger D., Georg D., and Poetter R., “The Vienna applicator for combined intracavitary and interstitial brachytherapy of cervical cancer: Design, application, treatment planning, and dosimetric results,” Int. J. Radiat. Oncol., Biol., Phys. 65, 624–630 (2006). 10.1016/j.ijrobp.2006.01.036 [DOI] [PubMed] [Google Scholar]
- Flynn R., Kim Y., Jacobson G., and Wu X., “Compensator-based intensity modulated brachytherapy for cervical cancer,” Med. Phys. 38, 3668 (2011). 10.1118/1.3612734 [DOI] [Google Scholar]
- Shi C., Guo B., Cheng C. Y., Esquivel C., Eng T., and Papanikolaou N., “Three dimensional intensity modulated brachytherapy (IMBT): Dosimetry algorithm and inverse treatment planning,” Med. Phys. 37, 3725–3737 (2010). 10.1118/1.3456598 [DOI] [PubMed] [Google Scholar]
- Yang W., Kim Y., Wu X., Song Q., Liu Y., Bhatia S. K., Sun W., and Flynn R. T., “Rotating-shield brachytherapy for cervical cancer,” Phys. Med. Biol. 58, 3931–3941 (2013). 10.1088/0031-9155/58/11/3931 [DOI] [PubMed] [Google Scholar]
- Liu Y., Flynn R. T., Yang W., Kim Y., Bhatia S. K., Sun W., and Wu X., “Rapid emission angle selection for rotating-shield brachytherapy,” Med. Phys. 40, 051720 (12pp.) (2013). 10.1118/1.4802750 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ebert M. A., “Potential dose-conformity advantages with multi-source intensity-modulated brachytherapy (IMBT),” Australas Phys. Eng. Sci. Med. 29, 165–171 (2006). 10.1007/BF03178889 [DOI] [PubMed] [Google Scholar]
- Strohmaier S. and Zwierzchowski G., “Comparison of (60)Co and (192)Ir sources in HDR brachytherapy,” J. Contemp. Brachytherapy 3, 199–208 (2011). 10.5114/jcb.2011.26471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rivard M. J., Davis S. D., DeWerd L. A., Rusch T. W., and Axelrod S., “Calculated and measured brachytherapy dosimetry parameters in water for the Xoft Axxent X-ray Source: An electronic brachytherapy source,” Med. Phys. 33, 4020–4032 (2006). 10.1118/1.2357021 [DOI] [PubMed] [Google Scholar]
- Dimopoulos J. C., Kirisits C., Petric P., Georg P., Lang S., Berger D., and Potter R., “The Vienna applicator for combined intracavitary and interstitial brachytherapy of cervical cancer: Clinical feasibility and preliminary results,” Int. J. Radiat. Oncol., Biol., Phys. 66, 83–90 (2006). 10.1016/j.ijrobp.2006.04.041 [DOI] [PubMed] [Google Scholar]
- Haie-Meder C., Potter R., Van Limbergen E., Briot E., De Brabandere M., Dimopoulos J., Dumas I., Hellebust T. P., Kirisits C., Lang S., Muschitz S., Nevinson J., Nulens A., Petrow P. and Wachter-Gerstner N., “Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): Concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV,” Radiother. Oncol. 74, 235–245 (2005). 10.1016/j.radonc.2004.12.015 [DOI] [PubMed] [Google Scholar]
- Kovács G., Potter R., Loch T., Hammer J., Kolkman-Deurloo I. K., de la Rosette J. J. and Bertermann H., “GEC/ESTRO-EAU recommendations on temporary brachytherapy using stepping sources for localised prostate cancer,” Radiother. Oncol. 74, 137–148 (2005). 10.1016/j.radonc.2004.09.004 [DOI] [PubMed] [Google Scholar]
- Potter R., Georg P., Dimopoulos J. C., Grimm M., Berger D., Nesvacil N., Georg D., Schmid M. P., Reinthaller A., Sturdza A., and Kirisits C., “Clinical outcome of protocol based image (MRI) guided adaptive brachytherapy combined with 3D conformal radiotherapy with or without chemotherapy in patients with locally advanced cervical cancer,” Radiother. Oncol. 100, 116–123 (2011). 10.1016/j.radonc.2011.07.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shepard D. M., Olivera G. H., Reckwerdt P. J. and Mackie T. R., “Iterative approaches to dose optimization in tomotherapy,” Phys. Med. Biol. 45, 69–90 (2000). 10.1088/0031-9155/45/1/306 [DOI] [PubMed] [Google Scholar]
- Flynn R. T., Barbee D. L., Mackie T. R., and Jeraj R., “Comparison of intensity modulated x-ray therapy and intensity modulated proton therapy for selective subvolume boosting: A phantom study,” Phys. Med. Biol. 52, 6073–6091 (2007). 10.1088/0031-9155/52/20/001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flynn R. T., Kissick M. W., Mehta M. P., Olivera G. H., Jeraj R., and Mackie T. R., “The impact of linac output variations on dose distributions in helical tomotherapy,” Phys. Med. Biol. 53, 417–430 (2008). 10.1088/0031-9155/53/2/009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flynn R. T., Bowen S. R., Bentzen S. M., Rockwell Mackie T., and Jeraj R., “Intensity-modulated x-ray (IMXT) versus proton (IMPT) therapy for theragnostic hypoxia-based dose painting,” Phys. Med. Biol. 53, 4153–4167 (2008). 10.1088/0031-9155/53/15/010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bowen S. R., Flynn R. T., Bentzen S. M., and Jeraj R., “On the sensitivity of IMRT dose optimization to the mathematical form of a biological imaging-based prescription function,” Phys. Med. Biol. 54, 1483–1501 (2009). 10.1088/0031-9155/54/6/007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Y. and Wu X., “Solving circular integral block decomposition in polynomial time,” in Algorithms and Computation (Springer, Berlin Heidelberg, 2012), pp. 342–351. [Google Scholar]
- Viswanathan A. N., Dimopoulos J., Kirisits C., Berger D., and Potter R., “Computed tomography versus magnetic resonance imaging-based contouring in cervical cancer brachytherapy: Results of a prospective trial and preliminary guidelines for standardized contours,” Int. J. Radiat. Oncol., Biol., Phys. 68, 491–498 (2007). 10.1016/j.ijrobp.2006.12.021 [DOI] [PubMed] [Google Scholar]
- Fowler J. F., Welsh J. S., and Howard S. P., “Loss of biological effect in prolonged fraction delivery,” Int. J. Radiat. Oncol., Biol., Phys. 59, 242–249 (2004). 10.1016/j.ijrobp.2004.01.004 [DOI] [PubMed] [Google Scholar]
- Pötter R., Haie-Meder C., Van Limbergen E., Barillot I., De Brabandere M., Dimopoulos J., Dumas I., Erickson B., Lang S., Nulens A., Petrow P., Rownd J., and Kirisits C., “Recommendations from gynaecological (GYN) GEC ESTRO working group (II): Concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy-3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology,” Radiother. Oncol. 78, 67–77 (2006). 10.1016/j.radonc.2005.11.014 [DOI] [PubMed] [Google Scholar]
- Dimopoulos J. C., Lang S., Kirisits C., Fidarova E. F., Berger D., Georg P., Dorr W., and Potter R., “Dose-volume histogram parameters and local tumor control in magnetic resonance image-guided cervical cancer brachytherapy,” Int. J. Radiat. Oncol., Biol., Phys. 75, 56–63 (2009). 10.1016/j.ijrobp.2008.10.033 [DOI] [PubMed] [Google Scholar]
- Dimopoulos J. C., Potter R., Lang S., Fidarova E., Georg P., Dorr W., and Kirisits C., “Dose-effect relationship for local control of cervical cancer by magnetic resonance image-guided brachytherapy,” Radiother. Oncol. 93, 311–315 (2009). 10.1016/j.radonc.2009.07.001 [DOI] [PubMed] [Google Scholar]