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

Matthias Zirk, Mina Niknazemi, Maximilian Riekert, Matthias Kreppel, Christian Linz, Max-Philipp Lentzen

Abstract readComparative Study

In one paragraph

Article in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

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2 citing papers in PubMed.

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Authors and funding

6 authors.

Matthias ZirkDepartment for Oral and Craniomaxillofacial and Plastic Surgery, University of Cologne, Cologne, Germany. matthias_zirk@yahoo.de.

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

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

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

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

Max-Philipp LentzenDepartment for Oral and Craniomaxillofacial and Plastic Surgery, University of Cologne, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

ForearmMagnetic Resonance ImagingTongue NeoplasmsTumor BurdenAdultAgedAlgorithmsFemaleFree Tissue FlapsHumansMaleMiddle AgedTomography, X-Ray ComputedComputed tomographyDepth of invasionITK-SNAPMagnetic resonance imagingOral tongue cancerRadial forearm free flapSquamous cell carcinomaUlnar forearm free flapVolumetric measurements

Identifiers

PMID39182195

DOI10.1007/s00784-024-05885-y

PMCPMC11345318

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