Three-dimensional prediction of free-flap volume in autologous breast reconstruction by CT angiography imaging

Maximilian Eder, Stefan Raith, Jalil Jalali, Daniel Müller, Yves Harder, Martin Dobritz, Nikolaos A. Papadopulos, Hans Günther Machens, Laszlo Kovacs

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

23 Zitate (Scopus)

Abstract

Purpose: The diagnostic use of computer tomography angiography (CTA) to identify perforating blood vessels for abdominal free-flap breast reconstruction was extended to estimate the three-dimensional (3D) preoperative flap volume and to compare it with the real intraoperative flap weights in order to (1) evaluate the accuracy of CTA-based 3D flap volume prediction, and (2) to analyze abdominal tissue estimation for required breast volume reconstruction. Methods: Preoperative CTA was performed in 54 patients undergoing unilateral breast reconstruction with a free, deep, inferior epigastric artery perforator flap. 3D flap volumes (cm3) based on CTA data were calculated and compared with the actual intraoperative flap weight (g). In addition, a breast volume to flap volume ratio was calculated to analyze whether the estimated 3D abdominal flap volume would match that of the breast to be removed. Results: 40 CTA data sets (74.1%) fulfilled the technical requirements for a reliable determination of flap volume. 3D CTA flap volume prediction showed no relevant differences to the actual flap weight (p = 0.44) and high correlations (r = 0.998, p < 0 .001), allowing a prediction accuracy within 0.29 ± 3.0% (range: from -8.77 to 5.67%) of the real flap weight. Significantly larger flap volumes were harvested compared with the actually required breast volumes ( p < 0 .001), leading to an average of 21% of the remnant flap tissue potentially being discarded. Conclusions: CTA-based 3D flap volume prediction provides accurate preoperative guidelines concerning the needed amount of abdominal tissue that can be harvested to achieve acceptable symmetry.

OriginalspracheEnglisch
Seiten (von - bis)541-549
Seitenumfang9
FachzeitschriftInternational Journal of Computer Assisted Radiology and Surgery
Jahrgang9
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Juli 2014
Extern publiziertJa

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