Heatmap Evaluation of Facial Hydration Using a Novel Python Program

Evaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML). Half-face, intra-individual...

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Vydáno v:Journal of drugs in dermatology Ročník 23; číslo 6; s. 463
Hlavní autoři: Nguyen, Thu Q, Emesiani, Christine, Meckfessel, Matthew
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 01.06.2024
Témata:
Administration, Cutaneous
Adult
Emollients - administration & dosage
Emollients - chemistry
Face
Female
Healthy Volunteers
Humans
Male
Middle Aged
Skin - drug effects
Skin - metabolism
Skin Care - methods
Skin Cream - administration & dosage
Skin Cream - chemistry
Software
Young Adult
ISSN:1545-9616
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Abstract Evaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML). Half-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer's facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use. This innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.
AbstractList Evaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML).BACKGROUNDEvaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML).Half-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer's facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use.METHODSHalf-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer's facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use.This innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.CONCLUSIONSThis innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.
Evaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML). Half-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer's facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use. This innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.
Author Nguyen, Thu Q
Emesiani, Christine
Meckfessel, Matthew
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StartPage 463
SubjectTerms Administration, Cutaneous
Adult
Emollients - administration & dosage
Emollients - chemistry
Face
Female
Healthy Volunteers
Humans
Male
Middle Aged
Skin - drug effects
Skin - metabolism
Skin Care - methods
Skin Cream - administration & dosage
Skin Cream - chemistry
Software
Young Adult
Title Heatmap Evaluation of Facial Hydration Using a Novel Python Program
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