Fibrosis Management Algorithm in Secondary Liposculpture.
Abstract
[BACKGROUND] Liposuction is considered one of the most common procedures in plastic surgery. However, major postoperative complications such as visceral injury, fluid overload, and necrotizing fasciitis still occur. Likewise, minor complications such as ecchymosis, seromas, infections, and contour irregularities that do not threaten the life of the patient do generate significant dissatisfaction. Current evidence regarding the management of fibrosis after previous liposuction remains limited.
[OBJECTIVES] The objective of this article is to standardize a management algorithm based on the extensive experience and successful results of the primary author (G.M.).
[METHODS] Patients who underwent secondary liposculpture between August 2022 and May 2023 were evaluated prospectively. Inclusion criteria comprised females between 18 and 60 years old, nonsmokers, with a BMI < 35 kg/m2 and a history of previous body contouring surgeries. Identification of the patient's skin condition and subcutaneous lesions in the adipose tissue were obtained in detail. Statistical analysis of preoperative and postoperative medical photographs was also performed with the Fiji Biological image analyzer.
[RESULTS] Photographic analysis of preoperative and postoperative photographs showed a statistically significant difference between the areas affected by fibrosis (P < .001). The most frequent clinical findings were depressions in 99% of the females (74), followed by soft nodules in 95% (70), hard nodules in 81% (61), adhesions in 47% (35), and finally cutaneous bursas in 4%.
[CONCLUSIONS] Our classification system and management algorithm for fibrosis and contour irregularities is a safe and reliable tool. Results were objectively verified, yielding statistically significant outcomes.
[OBJECTIVES] The objective of this article is to standardize a management algorithm based on the extensive experience and successful results of the primary author (G.M.).
[METHODS] Patients who underwent secondary liposculpture between August 2022 and May 2023 were evaluated prospectively. Inclusion criteria comprised females between 18 and 60 years old, nonsmokers, with a BMI < 35 kg/m2 and a history of previous body contouring surgeries. Identification of the patient's skin condition and subcutaneous lesions in the adipose tissue were obtained in detail. Statistical analysis of preoperative and postoperative medical photographs was also performed with the Fiji Biological image analyzer.
[RESULTS] Photographic analysis of preoperative and postoperative photographs showed a statistically significant difference between the areas affected by fibrosis (P < .001). The most frequent clinical findings were depressions in 99% of the females (74), followed by soft nodules in 95% (70), hard nodules in 81% (61), adhesions in 47% (35), and finally cutaneous bursas in 4%.
[CONCLUSIONS] Our classification system and management algorithm for fibrosis and contour irregularities is a safe and reliable tool. Results were objectively verified, yielding statistically significant outcomes.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 시술 | liposuction
|
지방흡입 | dict | 2 | |
| 해부 | subcutaneous
|
피하조직 | dict | 1 | |
| 해부 | visceral
|
scispacy | 1 | ||
| 해부 | skin
|
scispacy | 1 | ||
| 해부 | subcutaneous lesions
|
scispacy | 1 | ||
| 해부 | adipose tissue
|
scispacy | 1 | ||
| 해부 | adhesions
|
scispacy | 1 | ||
| 합병증 | Liposculpture
|
scispacy | 1 | ||
| 합병증 | seromas
|
scispacy | 1 | ||
| 약물 | [BACKGROUND] Liposuction
|
scispacy | 1 | ||
| 약물 | [OBJECTIVES]
|
scispacy | 1 | ||
| 약물 | [CONCLUSIONS]
|
scispacy | 1 | ||
| 질환 | Fibrosis
|
C0016059
Fibrosis
|
scispacy | 1 | |
| 질환 | visceral injury
|
scispacy | 1 | ||
| 질환 | fasciitis
|
C0015645
Fasciitis
|
scispacy | 1 | |
| 질환 | ecchymosis
|
C0013491
Ecchymosis
|
scispacy | 1 | |
| 질환 | seromas
|
C0262627
Seroma
|
scispacy | 1 | |
| 질환 | infections
|
C0851162
Infections of musculoskeletal system
|
scispacy | 1 | |
| 질환 | depressions
|
C0011570
Mental Depression
|
scispacy | 1 | |
| 질환 | nodules
|
scispacy | 1 | ||
| 기타 | patient
|
scispacy | 1 | ||
| 기타 | Patients
|
scispacy | 1 |
MeSH Terms
Humans; Female; Adult; Algorithms; Middle Aged; Lipectomy; Young Adult; Fibrosis; Prospective Studies; Adolescent; Postoperative Complications; Body Contouring; Photography; Treatment Outcome
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