Estimation of Hemi-Abdominal-Based Free Flap Weight Using Two Computed Tomography-Derived Measurements.
Abstract
[BACKGROUND] Accurate flap weight estimation is crucial for preoperative planning in microsurgical breast reconstruction; however, current flap weight estimation methods are time consuming. It was our objective to develop a parsimonious and accurate formula for the estimation of abdominal-based free flap weight.
[METHODS] Patients who underwent hemi-abdominal-based free tissue transfer for breast reconstruction at a single institution were retrospectively reviewed. Subcutaneous tissue thicknesses were measured on axial computed tomography angiograms at several predetermined points. Multivariable linear regression was used to generate the parsimonious flap weight estimation model. Split-sample validation was used to for internal validation.
[RESULTS] A total of 132 patients (196 flaps) were analyzed, with a mean body mass index of 31.2 ± 4.0 kg/m (range: 22.6-40.7). The mean intraoperative flap weight was 990 ± 344 g (range: 368-2,808). The full predictive model ( = 0.68) estimated flap weight using the Eq. 91.3 + 36.4 + 6.2 - 1030.0, where is subcutaneous tissue thickness (cm) 5 cm lateral to midline at the level of the anterior superior iliac spine (ASIS), is distance (cm) between the skin overlying each ASIS, and is patient weight (kg). Two-thirds split-sample validation was performed using 131 flaps to build a model and the remaining 65 flaps for validation. Upon validation, we observed a median percent error of 10.2% (interquartile range [IQR]: 4.5-18.5) and a median absolute error of 108.6 g (IQR: 45.9-170.7).
[CONCLUSION] We developed and internally validated a simple and accurate formula for the preoperative estimation of hemi-abdominal-based free flap weight for breast reconstruction.
[METHODS] Patients who underwent hemi-abdominal-based free tissue transfer for breast reconstruction at a single institution were retrospectively reviewed. Subcutaneous tissue thicknesses were measured on axial computed tomography angiograms at several predetermined points. Multivariable linear regression was used to generate the parsimonious flap weight estimation model. Split-sample validation was used to for internal validation.
[RESULTS] A total of 132 patients (196 flaps) were analyzed, with a mean body mass index of 31.2 ± 4.0 kg/m (range: 22.6-40.7). The mean intraoperative flap weight was 990 ± 344 g (range: 368-2,808). The full predictive model ( = 0.68) estimated flap weight using the Eq. 91.3 + 36.4 + 6.2 - 1030.0, where is subcutaneous tissue thickness (cm) 5 cm lateral to midline at the level of the anterior superior iliac spine (ASIS), is distance (cm) between the skin overlying each ASIS, and is patient weight (kg). Two-thirds split-sample validation was performed using 131 flaps to build a model and the remaining 65 flaps for validation. Upon validation, we observed a median percent error of 10.2% (interquartile range [IQR]: 4.5-18.5) and a median absolute error of 108.6 g (IQR: 45.9-170.7).
[CONCLUSION] We developed and internally validated a simple and accurate formula for the preoperative estimation of hemi-abdominal-based free flap weight for breast reconstruction.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | flap
|
피판재건술 | dict | 5 | |
| 시술 | free flap
|
피판재건술 | dict | 3 | |
| 해부 | breast
|
유방 | dict | 3 | |
| 해부 | subcutaneous
|
피하조직 | dict | 2 | |
| 해부 | tissue
|
scispacy | 1 | ||
| 해부 | Subcutaneous tissue thicknesses
|
scispacy | 1 | ||
| 해부 | subcutaneous tissue
|
scispacy | 1 | ||
| 해부 | lateral
|
scispacy | 1 | ||
| 해부 | midline
|
scispacy | 1 | ||
| 해부 | ASIS
→ anterior superior iliac spine
|
scispacy | 1 | ||
| 해부 | skin
|
scispacy | 1 | ||
| 합병증 | abdominal-based
|
scispacy | 1 | ||
| 합병증 | iliac spine
|
scispacy | 1 | ||
| 합병증 | ASIS
→ anterior superior iliac spine
|
scispacy | 1 | ||
| 합병증 | flaps
|
scispacy | 1 | ||
| 약물 | [BACKGROUND]
|
scispacy | 1 | ||
| 기타 | Patients
|
scispacy | 1 | ||
| 기타 | anterior superior
|
scispacy | 1 | ||
| 기타 | patient
|
scispacy | 1 |
MeSH Terms
Angiography; Free Tissue Flaps; Humans; Mammaplasty; Perforator Flap; Retrospective Studies; Tomography, X-Ray Computed
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