METHODS
In this study, 10 cervical cancer patients treated with HDR brachytherapy were included in the study,
and the patients" simulation tomography images were used in dose calculation. The high-risk clinical
target volume (HR-CTV) was contoured as the primary target volume for all patients. The rectum,
bladder, and sigmoid were delineated on each CT slice for the present study. 3D treatment plans were
created using TG-43 dose formalism and Varian AcurosTM BV (GBBS) dose calculation algorithm in
TPS. Dose volume histograms (DVH) were utilized for analyzing the plans dosimetrically. The values
of CTVref, Vref, V150%, and V200% were obtained from DVH, which was used to calculate different
quality indices: Coverage Index (CI), Dose homogeneity index (DHI), Overdose index (OI), External
volume index (EI), and Conformity Index (COIN). The rectum, bladder, and sigmoid D2cc values were
evaluated. The statistical analysis was performed using the Wilcoxon test (p<0.05).
RESULTS
In study, it was observed that there was no statistically significant difference between the sigmoid D2cc,
bladder D2cc, CTV ref, Vref, V150%, DHI, OI, EI and COIN values (p=0.386, p=0.575, p=0.092, p=0.445,
p=0.074, p=0.286, p=0.306, p=0.878, p=0.721 respectively), while significant differences were found in
the rectum D2cc, V200% and Coverage Index (CI) values (p=0.037, p=0.05, p=0.043, respectively).
CONCLUSION
The TG-43 algorithm seems not to take into account tissue heterogeneity, attenuation and scatter in the
titanium applicator, and the effects of the patient boundary.
Keywords: AcurosBV; brachytherapy; TG-43; titanium Fletcher applicator
Consequently, the actual dose delivered to the tumor and nearby organs at risk (OAR), such as the rectum or bladder, may differ significantly from planned values based on TG-43. To solve these problems, AAPM Task Group 186 (TG-186) has recommended the clinical application of model-based dose calculation algorithms (MBDCA) that solve the linear Boltzmann transport equation (LBTE) to account for tissue heterogeneities and non-water geometries.[ Among these, Acuros™ BV, developed by Varian Medical Systems, has emerged as a commercially available deterministic solver that provides accurate and rapid 3D dose calculations by modeling photon transport across various materials and geometries. Acuros™ BV analyzes the patient's CT data and calculates the dose based on the physical properties of the medium, including mass density and atomic composition. Acuros™ BV provides a more physically accurate dose distribution by calculating the dose delivered to the medium. This algorithm has been validated through Monte Carlo simulations and phantom studies, demonstrating high dosimetric accuracy across various clinical scenarios.[ The present study was designed to investigate the dosimetric differences between TG-43 and Acuros™ BV in HDR brachytherapy for cervical cancer using titanium Fletcher-style applicators. We aim to quantify these differences using clinically relevant dose-volume histogram (DVH) parameters and quality indices, thereby assessing the clinical importance of transitioning toward model-based algorithms in routine practice. With these study results, it was aimed to contribute to the growing evidence supporting the adoption of MBDCAs and to guide their wider application in gynecological brachytherapy.
Each patient had two separate treatment plans generated on the same CT dataset using the BrachyVision TPS (Varian Medical Systems, Palo Alto, CA) (Fig.
• TG-43 Plan: Based on the AAPM TG-43 formalism, assuming a water-equivalent medium. Dose distributions were calculated ignoring heterogeneities and applicator attenuation.
• Acuros™ BV Plan: Employed the grid-based Boltzmann solver (GBBS) to model dose distribution based on the actual patient anatomy, accounting for mass density, tissue composition, and the high-Z applicator material. Dose-to-medium reporting was used according to TG-186 recommendations.
The prescribed dose per brachytherapy fraction was 7 Gy to HR-CTV, delivered in 4 fractions. The same plan constraints were used for both planning techniques and independent re-optimization was performed to ensure a fair and clinically relevant comparison. The optimization was based on 3D DVH constraints, aiming to achieve:
• D90 for HRCTV ≥90% of prescribed dose
• D2cc for rectum <3-5 Gy
• D2cc for bladder <5-7 Gy
• D2cc for sigmoid <3-5 Gy
The same dose objectives were applied for both TG-43 and Acuros™ BV plans (Table
From each plan, the following dosimetric and volumetric parameters were extracted from the dose-volume histograms (DVHs) (Fig.
Target Coverage
• CTVref: The reference isodose enclosing the clinical target volume
• Vref (%): The reference isodose covering the volume (Volume of HR-CTV receiving 90% of the prescribed dose)
• V150%, V200%: Volumes of HR-CTV receiving 150% and 200% of the prescribed dose
Organs at Risk
• D2cc for bladder, rectum, and sigmoid (Gy)
Quality Indices
• Coverage Index (CI) = CTVref / CTV (ideal CI=1)
• Dose Homogeneity Index (DHI) = (1 - V150% / CTVref) (ideal DHI=1)
• Overdose Volume Index (OI) = V200% / CTVref (ideal OI=0)
• External Volume Index (EI) = 1 - CTVref / Vref (ideal EI=0)
• Conformity Index (COIN) = C1 × C2, where C1 = CTVref / CTV volume and C2 = CTVref / Vref (ideal COIN=1)
All parameters were calculated within BrachyVision using DVH analysis tools. The axial view of the dose distribution of the plan was showed in Figure
The Wilcoxon signed-rank test was used for pairwise comparison of TG-43 and Acuros™ BV results. A p-value of <0.05 was considered statistically significant. All analyses were performed using IBM SPSS Statistics version 26.
Statistical analysis focused on:
• Dosimetric differences in target volumes and OAR doses,
• Evaluation of how each algorithm affected clinical quality metrics.
The analysis of high-risk clinical target volume (HR-CTV) dosimetry showed notable differences in the volumetric coverage metrics:
• CTVref and Vref showed no statistically significant differences (p=0.092 and p=0.445, respectively), although slight decreases were observed with Acuros™ BV (Figs.
• V150% demonstrated a decreasing trend with Acuros™ BV (p=0.074), but did not reach statistical significance (Fig.
• V200%, however, showed a statistically significant reduction with Acuros™ BV compared to TG-43 (p=0.050), indicating a lower volume receiving excessively high doses when heterogeneity was considered (Fig.
• The Coverage Index (CI) was significantly lower in Acuros™ BV (p=0.043), reflecting the algorithm's more realistic modeling of attenuation and reduced target over-coverage (Fig.
• DHI, OI, EI, and COIN values were not statistically different between the two algorithms (p>0.05), although COIN values trended slightly lower in Acuros™ BV plans (Figs.
• Rectum D2cc was significantly higher with Acuros™ BV (p=0.037), reflecting more accurate modeling of the dose near the titanium applicator (Fig.
• Bladder D2cc and Sigmoid D2cc did not show statistically significant differences (p=0.575 and p=0.386, respectively), but inter-patient variability was noted (Figs.
These results show that the TG-43 and Acuros™ BV plans are generally comparable and provides more conservative and realistic dose estimates, particularly around sensitive structures.
These limitations have been well-documented in the literature. Rivard et al.[ Acuros™ BV, a grid-based Boltzmann solver (GBBS), addresses TG-43's deficiencies by solving the linear Boltzmann transport equation (LBTE) in 3D voxelized space. It uses CT-derived density and material segmentation to calculate dose-to-medium, thereby modeling photon interactions with tissue and applicator materials more realistically. Sinnatamby et al.[ Shajid et al.[ Similarly, studies evaluating dose–volume indices and DVH-based parameters in cervix brachytherapy emphasize the importance of accurate dose calculation for both target and organs at risk (OARs). Poddar et al.[ Radiobiological implications of dosimetric variations have also been discussed in the literature. Kaur et al.[ There are so many studies that Acuros BV produce lower estimates for target coverage metrics compared with TG-43 in cervical cancer brachytherapy. In the study by Bi et al.[ A retrospective clinical analysis similarly reported consistent reductions in D90% for both high-risk and intermediate-risk CTVs when using Acuros BV compared with TG-43, with mean percentage decreases of ~4.1–4.3% across target metrics. The comparison of Monte Carlo, TG-43 and Acuros BV by Dagli et al.[ The observed differences between TG-43 and Acuros BV can be attributed to fundamental differences in dose reporting methodology and underlying physical modeling. TG-43 formalism assumes a homogeneous water medium under full scatter conditions and reports dose-to-water, thereby neglecting tissue heterogeneities, applicator effects, and interseed attenuation. In contrast, Acuros BV is a model-based dose calculation algorithm that solves the linear Boltzmann transport equation and accounts for patient-specific heterogeneities, reporting dose-to-medium. Previous studies have consistently shown that TG-43 tends to overestimate dose compared to model-based algorithms, particularly in situations lacking full scatter or involving complex geometries. For example, Boman et al.[ In summary, our dosimetric findings and supporting literature indicate that while Acuros BV delivers accurate dose results in all mediums, TG-43 maintains its performance only under homogeneous conditions. The main advantage of Acuros™ BV over the TG-43 formalism is its ability to account for tissue heterogeneities and applicator material composition, which are often ignored in TG-43 dose calculations. TG-43 assumes an infinite water medium and therefore neglects attenuation and scatter effects arising from high-density materials such as titanium applicators and from non-water tissues commonly encountered in the pelvic anatomy. In the present study, Acuros™ BV consistently produced different dose-volume parameters compared to TG-43, particularly in high-dose regions and in organs at risk located near tissue–air or tissue–applicator interfaces. These findings are in agreement with previously published studies in cervix HDR brachytherapy. For the tumor coverage, TG-43 may provide falsely reassuring results. This can lead to plans that appear conformal and homogeneous but underdeliver dose near applicator-tissue interfaces. Moreover, TG-186 Task Group specifically highlighted the limitations of TG-43 for "non-water equivalent" clinical setups and strongly recommended the use of MBDCAs like Acuros™ BV in clinical protocols that involve applicator shielding or significant tissue heterogeneity.[ This study has limitations. The patient number was limited to 10 patients, which may reduce the statistical power of some comparisons. Additionally, clinical outcomes such as local control, recurrence, and toxicity were not included and would be essential in future prospective validation studies. Multicenter studies with standardized implementation protocols, paired with toxicity data, are needed to solidify Acuros™ BV's role in treatment decision-making. In the future, these systems could become the new reference standard in brachytherapy dosimetry.
Our findings demonstrate that while TG-43 remains a clinically accepted standard, it significantly underestimates dose to organs at risk—particularly the rectum—and overestimates target volume coverage due to its simplifying assumptions. In contrast, Acuros™ BV provides a more realistic and conservative assessment of dose distribution by accounting for heterogeneities such as high-Z applicator materials and varying tissue densities.
The statistically significant increase in rectal dose and the reduction in high-dose subvolumes (V200%) observed with Acuros™ BV suggest that model-based algorithms may improve both treatment safety and accuracy. Furthermore, differences in the Coverage Index (CI) reinforce the need for precise modeling in dose evaluation, especially in anatomically complex treatment sites.
Despite the added complexity in implementation and interpretation, the clinical benefits of enhanced dosimetric accuracy—particularly in minimizing toxicity and improving tumor coverage—justify their integration into standard brachytherapy workflows. Future work should aim to validate these dosimetric improvements with clinical outcome data and expand the evidence base through larger, multicenter prospective studies.