Cahill Katelyn, Hargrave Catriona, O'Connor Patrick, Denham Mark, Hearn Nathan, Vignarajah Dinesh, Shan Zack Y, Min Myo
Adem Crosby Centre-Radiation Oncology, Sunshine Coast University Hospital, Birtinya, QLD 4575, Australia.
Thompson Institute, University of the Sunshine Coast, Birtinya, QLD 4575, Australia.
BJR Open. 2025 Aug 13;7(1):tzaf020. doi: 10.1093/bjro/tzaf020. eCollection 2025 Jan.
Xerostomia toxicity continues to contribute towards a decrease in quality of life in head and neck cancer patients. Diffusion weighted MRI and the associated apparent diffusion coefficient (ADC) may identify the radiosensitive region within the parotid gland (PG). This study retrospectively assesses the feasibility of using percentile threshold values from the ADC map to generate a biological at-risk volume (BRV). The location and distribution of BRV are evaluated across the PG.
Image registration between the planning CT and MRI-simulation images was performed and reviewed to ensure accurate translation of ADC data when contouring the PG. Histogram analysis was undertaken using the 20th, 30th, and 50th percentile ADC values of each contoured PG to form the BRV. The whole PG was split into 8 anatomical sectors at a common intersection point to evaluate the distribution of BRV throughout.
The BRV distribution for each percentile was mapped across the whole contoured PG and each anatomical sector contour. The largest distribution was predominantly found in the superolateral sectors.
The 20th and 30th percentile ADC values can be used to form a BRV of the PG. The location of the BRV distribution indicates a potential relationship between ADC thresholds and the functional region of the PG.
The BRV is located in a favourable position within the PG and could be used to further spare this salivary gland during dose optimization. The feasibility of this approach will be explored in a future retrospective dosimetry study.
口干毒性持续导致头颈癌患者生活质量下降。扩散加权磁共振成像(MRI)及相关的表观扩散系数(ADC)可识别腮腺(PG)内的放射敏感区域。本研究回顾性评估使用ADC图的百分位数阈值生成生物风险体积(BRV)的可行性。在整个PG中评估BRV的位置和分布。
对计划CT和MRI模拟图像进行图像配准并检查,以确保在勾画PG轮廓时ADC数据的准确转换。使用每个勾画的PG的第20、30和50百分位数ADC值进行直方图分析,以形成BRV。将整个PG在一个公共交点处分成8个解剖区域,以评估BRV在整个区域的分布。
绘制每个百分位数的BRV分布在整个勾画的PG和每个解剖区域轮廓上的情况。最大的分布主要出现在上外侧区域。
第20和30百分位数ADC值可用于形成PG的BRV。BRV分布的位置表明ADC阈值与PG功能区域之间存在潜在关系。
BRV位于PG内的有利位置,可用于在剂量优化过程中进一步保护该唾液腺。这种方法的可行性将在未来的回顾性剂量学研究中进行探索。