Ultrasound Calculation of Fat Volume for Liposuction: A Clinical Software Validation.
3/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
18 patients and 44 volumes estimated, 43 of 44 measurements fell within a confidence interval of 95% when compared with the clinical lipoaspirate (dry) volumes collected postsurgery.
I · Intervention 중재 / 시술
ultrasound scans within the preoperative markings of the study area before surgery
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSIONS] Preoperative fat assessment measurements agreed significantly with intraoperative lipoaspirate volumes. The pilot study demonstrates, for the first time, a novel companion tool with the prospect of supporting surgeons in surgical planning, measuring, and executing the transfer of adipose tissues.
연도별 인용 (2023–2024) · 합계 4
OpenAlex 토픽 ·
Body Contouring and Surgery
Lymphatic System and Diseases
Thermoregulation and physiological responses
[BACKGROUND] Fat manipulation procedures such as liposuction contain a degree of subjectivity primarily guided by the surgeon's visual or tactile perception of the underlying fat.
APA
Robert Harutyunyan, Mirko S. Gilardino, et al. (2023). Ultrasound Calculation of Fat Volume for Liposuction: A Clinical Software Validation.. Aesthetic surgery journal, 43(10), 1150-1158. https://doi.org/10.1093/asj/sjad121
MLA
Robert Harutyunyan, et al.. "Ultrasound Calculation of Fat Volume for Liposuction: A Clinical Software Validation.." Aesthetic surgery journal, vol. 43, no. 10, 2023, pp. 1150-1158.
PMID
37099036
Abstract
[BACKGROUND] Fat manipulation procedures such as liposuction contain a degree of subjectivity primarily guided by the surgeon's visual or tactile perception of the underlying fat. Currently, there is no cost-effective, direct method to objectively measure fat depth and volume in real time.
[OBJECTIVES] Utilizing innovative ultrasound-based software, the authors aimed to validate fat tissue volume and distribution measurements in the preoperative setting.
[METHODS] Eighteen participants were recruited to evaluate the accuracy of the new software. Recruited participants underwent ultrasound scans within the preoperative markings of the study area before surgery. Ultrasound-estimated fat profiles were generated with the in-house software and compared directly with the intraoperative aspirated fat recorded after gravity separation.
[RESULTS] Participants' mean age and BMI were 47.6 (11.3) years and 25.6 (2.3) kg/m2, respectively. Evaluation of trial data showed promising results following the use of a Bland Altman agreement analysis. For the 18 patients and 44 volumes estimated, 43 of 44 measurements fell within a confidence interval of 95% when compared with the clinical lipoaspirate (dry) volumes collected postsurgery. The bias was estimated at 9.15 mL with a standard deviation of 17.08 mL and 95% confidence interval between -24.34 mL and 42.63 mL.
[CONCLUSIONS] Preoperative fat assessment measurements agreed significantly with intraoperative lipoaspirate volumes. The pilot study demonstrates, for the first time, a novel companion tool with the prospect of supporting surgeons in surgical planning, measuring, and executing the transfer of adipose tissues.
[OBJECTIVES] Utilizing innovative ultrasound-based software, the authors aimed to validate fat tissue volume and distribution measurements in the preoperative setting.
[METHODS] Eighteen participants were recruited to evaluate the accuracy of the new software. Recruited participants underwent ultrasound scans within the preoperative markings of the study area before surgery. Ultrasound-estimated fat profiles were generated with the in-house software and compared directly with the intraoperative aspirated fat recorded after gravity separation.
[RESULTS] Participants' mean age and BMI were 47.6 (11.3) years and 25.6 (2.3) kg/m2, respectively. Evaluation of trial data showed promising results following the use of a Bland Altman agreement analysis. For the 18 patients and 44 volumes estimated, 43 of 44 measurements fell within a confidence interval of 95% when compared with the clinical lipoaspirate (dry) volumes collected postsurgery. The bias was estimated at 9.15 mL with a standard deviation of 17.08 mL and 95% confidence interval between -24.34 mL and 42.63 mL.
[CONCLUSIONS] Preoperative fat assessment measurements agreed significantly with intraoperative lipoaspirate volumes. The pilot study demonstrates, for the first time, a novel companion tool with the prospect of supporting surgeons in surgical planning, measuring, and executing the transfer of adipose tissues.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | liposuction
|
지방흡입 | dict | 2 | |
| 해부 | Fat
|
scispacy | 1 | ||
| 해부 | fat tissue
|
scispacy | 1 | ||
| 해부 | lipoaspirate
|
scispacy | 1 | ||
| 해부 | adipose tissues
|
scispacy | 1 | ||
| 약물 | [BACKGROUND] Fat
|
scispacy | 1 | ||
| 기타 | participants
|
scispacy | 1 |
MeSH Terms
Humans; Adipose Tissue; Lipectomy; Pilot Projects; Software; Software Validation; Ultrasonography; Adult; Middle Aged
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