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

Clinical oral investigations 2024 Vol.28(9) p. 498

Zirk M, Niknazemi M, Riekert M, Kreppel M, Linz C, Lentzen MP

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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.

추출된 의학 개체 (NER)

유형영어 표현한국어 / 풀이UMLS CUI출처등장
시술 flap 피판재건술 dict 3
시술 free flap 피판재건술 dict 2
해부 RFFF scispacy 1
해부 line scispacy 1
해부 forearm scispacy 1
약물 [OBJECTIVES] scispacy 1
질환 cancer C0006826
Malignant Neoplasms
scispacy 1
질환 fits C0036572
Seizures
scispacy 1
질환 tumor C0027651
Neoplasms
scispacy 1
질환 oral tongue cancer scispacy 1
질환 3D tumor scispacy 1
기타 patients scispacy 1

MeSH Terms

Humans; Tongue Neoplasms; Forearm; Male; Female; Middle Aged; Magnetic Resonance Imaging; Tumor Burden; Tomography, X-Ray Computed; Aged; Free Tissue Flaps; Adult; Algorithms

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