In clinical practice, summation of the EBRT and BT dose is crucial to evaluate the total BED to target tissues and OARs (
8). To this end, scholars have effort to provide methods to ease access to this endpoint (
9). Among these strategies, the linear addition of DVH parameters without image registration has been the global standard for composite dose reporting. This method originated from a time when image guidance was not available, and radiation treatments were simpler. However, with technological advancements, both EBRT and BT have evolved to allow for more precise, volume-based treatment planning, and delivery. Given the complexity of modern treatment techniques, simply adding DVH parameters from EBRT and BT may not accurately reflect the combined dose distribution (
10). An alternative approach is deformable image registration (DIR), which aligns datasets from EBRT and image-guided brachytherapy (IGBT) (
11). This method can provide a more detailed calculation of combined doses but is still in its early stages and requires further refinement for clinical use.
Another method involves biologic dose summation, which combines physical dose maps from EBRT and each IGBT fraction to generate a composite DVH based on biologically effective doses (
12). However, this approach depends on accurate tissue-specific radiobiological parameters, which are not yet fully understood. A potential solution could be combining voxel-based DIR with biologically weighted dose maps for an approximation of total dose accumulation, but this method also needs validation (
9). In line with this, many efforts have been made to accurately estimate the overall doses from EBRT and BT plans. However, previous studies utilized either a phantom study or a dosimetric planning study on a few patients (
13-
15).
The current study was conducted to address these limitations. By examining the results from comparing dose delivery to target tissue and surrounding healthy tissues using both the EQD2 formula and the SagiPlan® treatment design software, we found that outcomes align with expectations based on the EQD2 formula and the number of treatment sessions. In the case of the manual method, the dose values of the rectum, bladder, and sigmoid were the same. However, when using SagiPlan® software’s BED/EQD2 Summation feature, different values emerge. These discrepancies also affect calculations of the total dose delivered to these tissues. A comparison between manual EQD2 calculations (manual) and SagiPlan® software (automatic) for doses delivered to healthy surrounding tissues versus target tissue in both external and internal radiation therapy reveals a relative error percentage across all tissues. Significant differences were noted for the target and surrounding healthy tissues. Notably, sigmoid tissue exhibits the largest deviation among all OARs. To further contextualize our findings, we now turn to a review of similar studies in the literature, which provide additional insights and comparisons.
While the traditional manual method using the simple summation of EQD2 has been referenced (
16,
17), there is a growing emphasis on using planning system analysis for a more precise and individualized approach. Modern recommendations advocate for the use of 3D-IGBT combined with advanced planning systems. These systems allow for detailed dose distribution analysis and optimization, ensuring better tumor coverage and sparing of OARs. In an experimental study on 31 patients with CxCa, Gelover et al. evaluated different DVH parameter addition methods for combining EBRT and HDR-BT plans. The findings indicate that the currently recommended method significantly underestimates OAR doses compared to a reference technique. A revised method, which uses patient-specific plans, provided more accurate dose assessments. This highlights the importance of adopting the revised method for cumulative dose calculations to ensure better treatment planning and patient safety (
18).
In this study, several potential sources of bias were identified. Selection bias may arise from the specific patient population recruited, which may not be representative of the broader patient demographic; performance bias could occur due to variations in the execution of the BT procedure and the skill levels of the physicians involved; detection bias is a concern if there are inconsistencies in the imaging evaluations of catheter positions. It is essential to recognize these limitations, the validity by which they answer the study questions, and their applicability. Future multi-institutional studies with larger sample sizes using advanced imaging techniques such as MRI or positron emission tomography (PET) or DIR algorithms may enhance dose calculations' accuracy and clinical applicability in cervical cancer radiotherapy.
5.1. Conclusions
In this study, we compared manual calculations, using the EQD2 formula with the automated capabilities of the SagiPlan® treatment design software for calculating cumulative DVH parameters in CxCa radiotherapy. Our findings indicate a significant discrepancy in the dose delivered to surrounding healthy tissues between the two methods. Specifically, manual calculations tend to underestimate the dose, while the SagiPlan® software shows higher dose values. This discrepancy is critical, as it suggests that healthy tissues adjacent to the target area may receive doses exceeding their tolerance thresholds, which is a major concern in radiation therapy, where minimizing exposure to healthy tissue is paramount. This finding can be applied to Radiation Oncology centers to improve the radiotherapy outcomes in patients with CxCa.