Department for Oral and Craniomaxillofacial and Plastic Surgery, University of Cologne, Cologne, Germany.
Medical Faculty, University of Cologne, Cologne, Germany.
Clin Oral Investig. 2024 Aug 25;28(9):498. doi: 10.1007/s00784-024-05885-y.
This study investigates the relationship between the total volume of oral tongue cancer pre-operatively and the RFFF volume post-operatively.
A total of 52 DICOM imaging datasets (CT or MRI) of 26 patients were included in this study. The volume of the desired structure was quantified using semi-automatic segmentation using the software ITK-SNAP. All extracted measurements were validated by two further clinicians at separate instances.
The variation of MeanVolTu can be predicted by MeanVolFlap moderately reliable with 59.1% confidence (R-Qua: 0.591). ANOVA Testing to represent how well the regression line fits the data, resulted in the overall regression model being statistically significant in predicting the MeanVolTu (p < 0.001). The flap volume may be predicted using the following algorithm: MeanVolFlap0 = 3241,633 + 1, 322 * MeanVolTu.
The results of this study show positive correlation between tumor volume and flap volume, highlighting the significance of efficient flap planning with increasing tumor volume. A larger extraction volume of the radial forearm free flap from the donor site compromises the forearm more, thus increasing the probability of post-operative complications.
Radial forearm free flap design in accordance with its corresponding 3D tumor volume.
本研究旨在探讨术前口腔舌癌总容积与术后桡侧游离皮瓣(RFFF)容积之间的关系。
本研究共纳入 26 例患者的 52 份 DICOM 成像数据集(CT 或 MRI)。使用 ITK-SNAP 软件进行半自动分割来量化所需结构的体积。所有提取的测量值均由另外两名临床医生在不同时间进行验证。
MeanVolTu 的变化可以通过 MeanVolFlap 进行中等可靠的预测,置信度为 59.1%(R-Qua:0.591)。ANOVA 检验用于表示回归线拟合数据的程度,结果表明整体回归模型在预测 MeanVolTu 方面具有统计学意义(p<0.001)。可以使用以下算法预测皮瓣体积:MeanVolFlap0=3241.633+1.322*MeanVolTu。
本研究结果表明肿瘤体积与皮瓣体积之间存在正相关,突出了随着肿瘤体积增加,有效皮瓣规划的重要性。供区桡侧游离皮瓣的更大提取体积会使前臂受到更大的影响,从而增加术后并发症的概率。
根据相应的 3D 肿瘤体积设计桡侧游离皮瓣。