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Development of a Preoperative Regression Model for Predicting Submental Liposuction Volume Using Outpatient-Accessible Measures: A Single-Center Prospective Observational Pilot Study

Development of a Preoperative Regression Model for Predicting Submental Liposuction Volume Using Outpatient-Accessible Measures: A Single-Center Prospective Observational Pilot Study - Development of a Preoperative Regression Model for Predicting Submental Liposuction Volume Using Outpatient-Accessible Measures: A Single-Center Prospective Observational Pilot Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000059667
Enrollment
60
Registered
2025-11-07
Start date
2025-01-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adult patients undergoing submental liposuction using the syringe technique at the participating institution.

Interventions

None listed

Sponsors

3rd Floor, K's Square Building, 2-8-15 Sonezaki, Kita-ku, Osaka-city, Osaka, Japan
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Adult patients who wish to undergo submental liposuction with the syringe technique Provided written informed consent for participation Eligible for preoperative outpatient evaluation

Exclusion criteria

Exclusion criteria: History of previous surgery or trauma in the submental region Severe neck skin laxity or scar contracture Presence of dermatologic conditions that interfere with measurement accuracy Declined to provide informed consent

Design outcomes

Primary

MeasureTime frame
Correlation between measured liposuction volume (mL) and predicted value (mL) calculated from the regression model, assessed by Pearson's correlation coefficient and coefficient of determination.

Secondary

MeasureTime frame
Univariate correlations between each variable (thickness, vertical length, BMI, firmness) and aspirated volume Independent contributions of predictors in the multivariate regression model (standardized beta coefficients) Reproducibility of each measurement (intra-rater reliability, ICC)

Countries

Japan

Contacts

Public ContactKeisuke Matsumura

Tokyo Chuo Beauty Clinic, Umeda Osaka Ekimae Clinic Tokyo Chuo Beauty Clinic, Umeda Osaka Ekimae Clinic

dr.matsumura.keisuke@tcb.or.jp06-6147-2581

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026