A comparison on the scar development when done through overlapping versus approximating seams techniques - A clinical

Zeinab Morsalivachin1, Hamid Salehi2, Mostafa Dahmardehei3

  • 1Department of Surgery School of Medicine, Iran University of Medical Sciences, Iran.

Summary

The approximating (AP) Seams technique for skin grafting resulted in significantly better scar outcomes, including reduced pigmentation, improved pliability, and lower height, compared to the overlapping (OV) technique. This study highlights AP as a superior method for minimizing scarring after autografting.

Related Concept Videos

Clinical Applications of Epidermal Stem Cells01:19

Clinical Applications of Epidermal Stem Cells

Epidermal stem cells (EpiSCs) are mainly located at the basal layer of the epidermis. These cells repair minor injuries of the skin and replace dead skin cells. However, EpiSCs’ cannot heal severe wounds such as major burns or those from diabetes or hereditary disorders. In such cases, culturing the epidermal stem cells from the patient is possible and has yielded successful treatment options, such as laboratory-grown skin grafts. These grafts are synthesized using a patient’s own...
3.0K
Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
4.2K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
376