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口腔舌癌切除体积与游离桡侧前臂皮瓣术后体积的变化比较分析。

Comparative analysis of volumetric changes between resection volume of oral tongue cancer and post operative volume of radial forearm flaps.

机构信息

Department for Oral and Craniomaxillofacial and Plastic Surgery, University of Cologne, Cologne, Germany.

Medical Faculty, University of Cologne, Cologne, Germany.

出版信息

Clin Oral Investig. 2024 Aug 25;28(9):498. doi: 10.1007/s00784-024-05885-y.

Abstract

OBJECTIVES

This study investigates the relationship between the total volume of oral tongue cancer pre-operatively and the RFFF volume post-operatively.

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSION

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.

CLINICAL RELEVANCE

Radial forearm free flap design in accordance with its corresponding 3D tumor volume.

摘要

目的

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。

材料与方法

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。

结果

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。

结论

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。

临床相关性

根据相应的 3D 肿瘤体积设计桡侧游离皮瓣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd9c/11345318/099804c57a78/784_2024_5885_Fig1_HTML.jpg

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