Analysing multimodal data that have been collected using photovoice as a research method.

BACKGROUND: Creative arts practice can enhance the depth and quality of mental health research by capturing and foregrounding participants' lived experience. Creative methods are emotionally activating and promote multiple perspectives, tolerating ambiguities and uncertainties, which are shared and even celebrated. KEY ARGUMENTS: Methods such as photovoice use imagery to elucidate narratives that are not easily captured by more traditional interview-based research techniques. However, the use of creative methods and participatory research remains novel as there is little guidance of how to navigate conceptual, practical, and analytical challenges. CONCLUSION: This paper considers these challenges, and puts forward practical and theory informed recommendations, using as study of photovoice methods for investigating ethnic inequalities in the use of the mental health act (Co-Pact) as a case study.

Combining topical dermal infused exosomes with injected calcium hydroxylapatite for enhanced tissue biostimulation.

BACKGROUND: Exosome research continues to flourish. Subsequent knowledge surrounding indications, dose-response, safety, efficacy, and the ability to combine exosome treatment as a "skin primer"-for biostimulation modalities such as calcium hydroxylapatite (CaHA), platelet-rich plasma (PRP), and platelet-rich fibrin matrix (PRFM) is growing rapidly. The objective of this study was to develop safe, reproducible methods of improving topical exosome absorption to enhance the quality of skin either by themselves, or in combination with injectable CaHA. METHODS: Under IRB Approval (International Cell Surgical Society: ICSS-2022-007), 40 patients were enrolled in this study. Twenty patients underwent facial biostimulatory dermal infusion alone, to determine if this method allowed adequate exosome absorption. Five patients underwent facial biostimulatory infusion followed immediately by Dilute CaHA injection (1:1 dilution) to the face. Five patients underwent exosome biostimulatory dermal infusion followed immediately by hyperdilute CaHA (dilution 1:4) injection to the neck. Five patients underwent Facial Dilute CaHA injection (1:1 dilution) alone, without dermal infusion. Five patients underwent neck hyperdilute CaHA injection (1:4 dilution) alone, without dermal infusion. All patients had pretreatment Quantificare 3-D photo-documentation and skin analysis (Quantificare, France). In all patients, the skin was first cleansed with a gentle glycolic acid facial wash (Gregory MD). To induce a "homing inflammatory environment" for the exosomes, sea salt exfoliation was performed (SaltFacial®, SaltMed, Cardiff, CA). A nitric oxide-generating serum (N101 Pneuma Nitric Oxide, Austin, TX) was then applied to act as an enhanced vehicle for absorption. A 3 MHz ultrasound (SaltFacial®, SaltMed, Cardiff, CA) was then utilized to further deepen the absorption of the nitric oxide serum. A topical emulsion containing equal volumes (1.0 cc containing 1 million) of exosomes (Kimera Labs, Miramar, FL), 25 units of botulinum toxin (Xeomin, Merz Aesthetics, Raleigh, NC) and hyaluronic acid (Belatero, Merz Aesthetics, Raleigh, NC) was mixed via back-and-forth propulsion in a 3-cc syringe. When adequately mixed, the emulsion was then applied to the treatment areas. The cavitating ultrasound was then used to aid in the absorption of the emulsion. The patients were then treated with high-intensity LED therapy (SaltFacial®, SaltMed, Cardiff, CA), utilizing the collagen restoration preset program of combination red (660 nm) near-infrared (930 nm) wavelength for 20 min. Post-treatment Quantificare analysis was performed at 15 and 30 days after treatment. RESULTS: Without exception, all dermal infusion alone and CaHA injection alone patients showed an improvement in the tone, quality, and texture of their skin. Quantificare results showed consistent improvement in wrinkles, pores, skin evenness, improved vascularity, and a reduction in oiliness and unwanted pigment. When employed as a skin primer prior to injections (CaHA), enhanced and more rapid results were seen. CONCLUSIONS: Biostimulatory dermal infusion can be achieved utilizing topical placental mesenchymal stem cell-derived exosomes. These exosomes can be used alone, or mixed with ancillary ingredients such as botulinum toxin, hyaluronic acid dermal filler, and CaHA to customize and personalize treatments based upon individual patient needs. Topical absorption is enhanced with sea salt exfoliation, a topical nitric oxide-generating serum, and 3 MHz cavitating ultrasound. Post-absorption activity is enhanced with high-intensity LED treatment. The addition of CaHA injections after the topical exosome "priming of the skin" yielded enhanced skin quality faster than exosomes or CaHA alone.

Screening fundus photography predicts and reveals risk factors for glaucoma conversion in eyes with large optic disc cupping.

This study aimed to investigate the risk factors for glaucoma conversion and progression in eyes with large optic disc cupping without retinal nerve fiber layer defect (RNFLD). Five hundred forty-two eyes of 271 subjects who had a vertical cup-to-disc ratio (CDR) ≥ 0.6 without RNFLD were enrolled. Characteristics for optic disc configuration (including CDR, vertical cupping, ISNT rule, disc ovality, peripapillary atrophy [PPA]-to-disc area [DA] ratio, and lamina cribrosa pore visibility) and blood vessels (including central retinal vessel trunk [CRVT] nasalization, bayoneting of vessels, baring of circumlinear vessels, history of disc hemorrhage [DH] and vessel narrowing/sclerotic change) were evaluated. From a median follow-up of 11.3 years, 26.6% of eyes (n = 144) developed RNFLD within a median of 5.1 years. Baseline factors, including vertical CDR ≥ 0.7 (hazard ratio [HR] = 2.12), vertical cupping (HR = 1.93), ISNT rule violation (HR = 2.84), disc ovality ≥ 1.2 (HR = 1.61), PPA-to-DA ratio ≥ 0.4 (HR = 1.77), CRVT nasalization ≥ 60% (HR = 1.77), vessel narrowing/sclerotic change (HR = 2.13), DH history (HR = 5.60), and baseline intraocular pressure ≥ 14 mmHg (HR = 1.70) were significantly associated with glaucoma conversion (all Ps < 0.05). An HR-matched scoring system based on initial fundus photography predicted glaucoma conversion with specificity of 90.4%. Careful examination of the optic nerve head and vascular structures can help to predict the risk of glaucoma conversion in eyes with large optic disc cupping.

Identificación del biotipo facial mediante fotografía vs. radiografías laterales de cráneo. Revisión de literatura / Identification of the facial biotype by photography versus lateral skull radiography. Literature review

Objetivo: reconocer la eficacia de la identificación del biotipo facial mediante fotografía vs. radiografías laterales de cráneo. Materiales y métodos: se realizó un estudio de tipo descriptivo, retrospectivo de la literatura. Para ello se consultaron bases de datos electrónicas, como PubMed, ScienceDirect, Lilacs, Epistemonikos, Sage, Healey Library, Scielo y Google Scholar. Las palabras clave utilizadas fueron: photographs; extraoral photographs; cephalometry; lateral cephalograms; facial biotypes; brachyfacial; mesofacial; dolichofacial. La búsqueda se restringió a artículos en inglés, español y portugués publicados desde el año 2017 hasta el año 2022. Resultados: el biotipo facial permite determinar las características morfológicas y funcionales relacionadas con la dirección en la cual el macizo craneofacial crece y se desarrolla. Existen varios métodos que posibilitan la identificación del biotipo facial. En la actualidad hay diversos tipos de software que, mediante fotografías digitales de las dimensiones y proporciones faciales, permiten identificar el biotipo facial; no obstante, el estándar de oro para la determinación del biotipo facial son las radiografías laterales de cráneo, en las que, por medio de un sistema de trazos, se logra la identificación del biotipo. Este es un método que demanda mayores conocimientos teóricos-anatómicos, por lo que, en la mayoría de los casos, los resultados son más precisos. Sin embargo, al ser ambas técnicas "operador-dependiente", la veracidad de los resultados dependerá en gran medida de los conocimientos, las habilidades y las destrezas de cada profesional. Conclusión: tanto las fotografías digitales como las radiografías laterales del cráneo permiten la identificación del biotipo facial. La precisión de su resultado dependerá, en gran medida, de las habilidades, las destrezas y los conocimientos del profesional, tanto de la técnica como de sus conocimientos básicos de anatomía y radiología.

Objective: To recognize the efficacy of facial biotype identification by photography vs. lateral skull radiographs. Materials and methods:A descriptive, retrospective study of the literature was carried out, for which electronic databases such as PubMed, Science Direct, Lilacs, Epistemonikos, Sage, Healey Library, Scielo and Google Scholar were consulted. The keywords used were: photographs; extraoral photographs; cephalometry; lateral cephalograms; facial biotypes; brachyfacial; mesofacial; dolichofacial. The search was restricted to articles in English, Spanish, and Portuguese published from 2018 to 2022. Results: The facial biotype allows the determination of the morphological and functional characteristics related to the direction in which the craniofacial massif grows and develops. There are several methods that allow the identification of the facial biotype, currently there are different types of software that allow the analysis through digital photographs of the dimensions and facial proportions that allow the identification of the facial biotype; However, the gold standard for determining the facial biotype are lateral skull radiographs, in which biotype identification is achieved by means of a trace system, being a method that demands greater theoretical-anatomical knowledge, therefore that the results in most cases are more precise, however, as both techniques are "operator dependent", the veracity of the results found to a great extent on the knowledge, abilities and skills of each professional. Conclusion: Both digital photographs and lateral skull radiographs allow the identification of the facial biotype, the accuracy of the result will depend mainly on the skills, abilities, and knowledge of the professional, both the technique and of his basic understanding of anatomy and radiology.

Validation of an autonomous artificial intelligence-based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context.

PURPOSE: This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. METHODS: Retrospective diagnostic test evaluation on a raw dataset of 5918 images (2839 individuals) evaluated with non-mydriatic cameras during routine occupational health checkups. Three camera models were employed: Optomed Aurora (field of view - FOV 50º, 88% of the dataset), ZEISS VISUSCOUT 100 (FOV 40º, 9%), and Optomed SmartScope M5 (FOV 40º, 3%). Image acquisition took 2 min per patient. Ground truth for each image of the dataset was determined by 2 masked retina specialists, and disagreements were resolved by a 3rd retina specialist. The specific pathologies considered for evaluation were "diabetic retinopathy" (DR), "Age-related macular degeneration" (AMD), "glaucomatous optic neuropathy" (GON), and "Nevus." Images with maculopathy signs that did not match the described taxonomy were classified as "Other." RESULTS: The combination of algorithms to detect any abnormalities had an area under the curve (AUC) of 0.963 with a sensitivity of 92.9% and a specificity of 86.8%. The algorithms individually obtained are as follows: AMD AUC 0.980 (sensitivity 93.8%; specificity 95.7%), DR AUC 0.950 (sensitivity 81.1%; specificity 94.8%), GON AUC 0.889 (sensitivity 53.6% specificity 95.7%), Nevus AUC 0.931 (sensitivity 86.7%; specificity 90.7%). CONCLUSION: Our holistic AI approach reaches high diagnostic accuracy at simultaneous detection of DR, AMD, and Nevus. The integration of pathology-specific algorithms permits higher sensitivities with minimal impact on its specificity. It also reduces the risk of missing incidental findings. Deep learning may facilitate wider screenings of eye diseases.

Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans.

Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the characteristics of improper secretion of insulin in pancreas that results in high glucose level in blood. The disease is also associated with other complications such as cardiovascular disease, retinopathy, neuropathy and nephropathy. The development of computer aided decision support system is inevitable field of research for disease diagnosis that will assist clinicians for the early prognosis of diabetes and to facilitate necessary treatment at the earliest. In this research study, a Traditional Chinese Medicine based diabetes diagnosis is presented based on analyzing the extracted features of panoramic tongue images such as color, texture, shape, tooth markings and fur. The feature extraction is done by Convolutional Neural Network (CNN)-ResNet 50 architecture, and the classification is performed by the proposed Deep Radial Basis Function Neural Network (RBFNN) algorithm based on auto encoder learning mechanism. The proposed model is simulated in MATLAB environment and evaluated with performance metrics-accuracy, precision, sensitivity, specificity, F1 score, error rate, and receiver operating characteristics (ROC). On comparing with existing models, the proposed CNN based Deep RBFNN machine learning classifier model outperformed with better classification performance and proving its effectiveness.

Welcoming teleretinography into diabetes integrated care.

Integrated Care (IC) is a perfect fit for people with diabetes. Fundus examination (FE) is a disease marker for diabetologists and identifies potentially blinding complications (Diabetic Retinopathy, DR). In our Diabetes Clinic (DC) in Pescara, Italy, FE is possibly provided with telemedicine in same day as other exams, avoiding it to be a standalone clinical one; images taken with a retinal digital camera are graded by a remote ophthalmologist within a shared Electronic Health Record (EHR), immediately readable by other stakeholders; a dedicated care path to the Eye Clinic, University of Chieti-Pescara is provided for urgent cases. Personnel's worktime shortening allows gaining time for ophthalmologists' eye examinations in outpatient settings and other stakeholders' work in the DC. The need for a DR digital screening system is growing worldwide: our experience confirms the ease of implementation, and the advantage of sharing clinical data with all stakeholders when working within an EHR, aiming to optimize an IC effective system.

The Additive Value of 3D Total Body Imaging for Sequential Monitoring of Skin Lesions: A Case Series.

BACKGROUND: Timely diagnosis is the cornerstone of melanoma morbidity and mortality reduction. 2D total body photography and dermoscopy are routinely used to assist with early detection of skin malignancies. Polarized 3D total body photography is a novel technique that enables fast image acquisition of almost the entire skin surface. We aimed to determine the added value of 3D total body photography alongside dermoscopy for monitoring cutaneous lesions. METHODS: Lesion images from high-risk individuals were assessed for long-term substantial changes via dermoscopy and 3D total body photography. Three case studies are presented demonstrating how 3D total body photography may enhance lesion analysis alongside traditional dermoscopy. RESULTS: 3D total body photography can assist clinicians by presenting cutaneous lesions in their skin ecosystem, thereby providing additional clinical context and enabling a more holistic assessment to aid dermoscopy interpretation. For lesion cases where previous dermoscopy is unavailable, corresponding 3D images can substitute for baseline dermoscopy. Additionally, 3D total body photography is not susceptible to artificial stretch artefacts. CONCLUSION: 3D total body photography is valuable alongside dermoscopy for monitoring cutaneous lesions. Furthermore, it is capable of surveilling almost the entire skin surface, including areas not traditionally monitored by sequential imaging.

Using Mindfulness-Informed Photovoice to Explore Stress and Coping in Women Residing in Public Housing in a Low-Resourced Community.

The setting of the current study was an urban city where the majority of public housing residents are single females living in poverty. An adapted women's mindfulness program, including a Photovoice exercise, was offered to this vulnerable population. Stress contributes to poor mental/physical health. A Photovoice research method was used to elucidate the stressors and coping facilitators used by participants. Eleven participants took a digital photography workshop and then photographed stressors and coping facilitators. All 275 photographic submissions were analyzed thematically. Coping themes were: Aesthetics: Man-Made and Natural; Relationships: Pets and People; Self-Esteem and Cultural Identity; and Inspiration Through Religion and Social Media Messaging. Stress themes were: Urban Disarray and Existential Threat/Danger. Results showed that social connectedness, spirituality, improving neighborhood aesthetics, use of social media, and access to nature could support coping. [Journal of Psychosocial Nursing and Mental Health Services, 60(7), 23-31.].

An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford.

Deep learning models can recognize the food item in an image and derive their nutrition information, including calories, macronutrients (carbohydrates, fats, and proteins), and micronutrients (vitamins and minerals). This technology has yet to be implemented for the nutrition assessment of restaurant food. In this paper, we crowdsource 15,908 food images of 470 restaurants in the Greater Hartford region on Tripadvisor and Google Place. These food images are loaded into a proprietary deep learning model (Calorie Mama) for nutrition assessment. We employ manual coding to validate the model accuracy based on the Food and Nutrient Database for Dietary Studies. The derived nutrition information is visualized at both the restaurant level and the census tract level. The deep learning model achieves 75.1% accuracy when compared with manual coding. It has more accurate labels for ethnic foods but cannot identify portion sizes, certain food items (e.g., specialty burgers and salads), and multiple food items in an image. The restaurant nutrition (RN) index is further proposed based on the derived nutrition information. By identifying the nutrition information of restaurant food through crowdsourced food images and a deep learning model, the study provides a pilot approach for large-scale nutrition assessment of the community food environment.

Strobe photography mapping of cell membrane potential with nanosecond resolution.

The ability to directly observe membrane potential charging dynamics across a full microscopic field of view is vital for understanding interactions between a biological system and a given electrical stimulus. Accurate empirical knowledge of cell membrane electrodynamics will enable validation of fundamental hypotheses posited by the single shell model, which includes the degree of voltage change across a membrane and cellular sensitivity to external electric field non-uniformity and directionality. To this end, we have developed a high-speed strobe microscopy system with a time resolution of ~ 6 ns that allows us to acquire time-sequential data for temporally repeatable events (non-injurious electrostimulation). The imagery from this system allows for direct comparison of membrane voltage change to both computationally simulated external electric fields and time-dependent membrane charging models. Acquisition of a full microscope field of view enables the selection of data from multiple cell locations experiencing different electrical fields in a single image sequence for analysis. Using this system, more realistic membrane parameters can be estimated from living cells to better inform predictive models. As a proof of concept, we present evidence that within the range of membrane conductivity used in simulation literature, higher values are likely more valid.

#Beautyunedited: Is labeling unedited selfies helpful for body image and mood among young women?

Research has shown that social media content that has not been digitally altered may help support positive body image. However, the effects of adding labels to such images has received little research attention. This study compared the effects of selfies that were: edited, unedited, and unedited + labeled. A sample of 350 young women, mean age (SD) = 21.87 (2.28) years, were randomly allocated to one of three conditions and completed pre and post exposure measures of state body image and mood, as well as trait risk and protective factors. Findings revealed that participants allocated to the unedited + labeled condition reported greater increases in state appearance satisfaction as compared to those who viewed the edited selfies. In addition, participants with higher levels of social media literacy benefited most from the unedited + labeled selfies. Findings suggest that selfies bearing a label indicating that they have not been edited may be more helpful for body image among young women as comapred to edited selfies. Thus, labels could represent useful social marketing tools on social media and contribute to efforts to increase the realism of social media imagery.

Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.

Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuropathy. Two key parameters are vertical cup-to-disc ratio (VCDR) and vertical disc diameter (VDD). However, manual assessment often suffers from poor accuracy and is time intensive. Here, we show convolutional neural network models can accurately estimate VCDR and VDD for 282,100 images from both UK Biobank and an independent study (Canadian Longitudinal Study on Aging), enabling cross-ancestry epidemiological studies and new genetic discovery for these optic nerve head parameters. Using the AI approach, we perform a systematic comparison of the distribution of VCDR and VDD and compare these with intraocular pressure and glaucoma diagnoses across various genetically determined ancestries, which provides an explanation for the high rates of normal tension glaucoma in East Asia. We then used the large number of AI gradings to conduct a more powerful genome-wide association study (GWAS) of optic nerve head parameters. Using the AI-based gradings increased estimates of heritability by ∼50% for VCDR and VDD. Our GWAS identified more than 200 loci associated with both VCDR and VDD (double the number of loci from previous studies) and uncovered dozens of biological pathways; many of the loci we discovered also confer risk for glaucoma.

Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology.

In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabetes mellitus can be accurately diagnosed using conventional methods, these methods require the collection of data in a clinical setting and are unlikely to be feasible in areas with few medical resources. This technique combines an analysis of fundus photography of the physical and physiological features of the patient, namely, the tongue and the pulse, which are used in Traditional Chinese Medicine. A random forest algorithm was used to analyze the data, and the accuracy, precision, recall, and F1 scores for the correct classification of diabetes were 0.85, 0.89, 0.67, and 0.76, respectively. The proposed technique for diabetes diagnosis offers a new approach to the diagnosis of diabetes, in that it may be convenient in regions that lack medical resources, where the early detection of diabetes is difficult to achieve.

Carboxytherapy Mask as Post Nanofractional Radiofrequency Treatment for Improvement of Facial Skin Quality and Photoaging.

BACKGROUND: Skin rejuvenation can be achieved with minimally invasive treatments using energy-based devices that feature reduced side effects and downtime. Post-treatment care is key to minimize any potential side effects and skin reactions such as erythema, dryness, or dyschromia. OBJECTIVE: The objective of this study was to evaluate the efficacy and patient satisfaction of a novel carboxytherapy gel mask compared with petroleum-based lanolin-containing ointment to accelerate wound healing facial post-nanofractional radiofrequency treatment. METHODS AND MATERIALS: Ten subjects were enrolled in this pilot, prospective, randomized, single-blind study and randomized into two arms. One arm received one nanofractional radiofrequency treatment with ointment right after and four consecutive days of ointment applications twice a day, while the second arm followed this regimen with a carboxytherapy gel mask application right after and four consecutive days after treatment. Investigator, safety, and patient assessments were conducted at 24 hours and one-week post treatment. Safety was monitored throughout. The primary endpoint was defined as the degree of investigator global assessment (IGA) in photodamage, pigmentation, and wrinkles using standardized photographs. Secondary endpoints included investigator-rated degree of erythema, edema, crusting, exudation, percentage healing, improvement of skin quality, and patient satisfaction. RESULTS: Nine patients completed the study. There was improvement of one degree in IGA for photodamage, pigmentation and wrinkles in all patients using the carboxytherapy gel mask at the one-week follow up. Blinded investigator ratings showed significant improvement of dryness, erythema, edema, crusting, and percentage healing at the 24-hour follow up, with all patients remaining the same a week post treatment. All patients in the carboxytherapy group were satisfied with the treatment and had no adverse effects. Three patients in the petroleum-based lanolin-containing group experienced mild edema and acne breakout that resolved two weeks after treatment. CONCLUSION: Carboxytherapy delivered via a gel mask after skin rejuvenation procedures is a safe and effective strategy to improve clinical outcomes and reduce post-treatment side effects. J Drugs Dermatol. 20(4):461-465. doi:10.36849/JDD.5856.

The effect of lyophilized platelet rich-plasma on skin aging: a non-randomized, controlled, pilot trial.

Platelet-rich plasma (PRP) showed positive results in the improvement of skin aging. Lyophilized PRP can be interesting in clinical practice due to the facility to obtain many samples in a single blood collection and can be used in multiple injections. To evaluate the effect of lyophilized PRP in the treatment of skin aging, through a Phase II pilot study. Nineteen women (54 years ± 7 years) with Glogau photoaging II and III types were select for this non-randomized, split-face controlled study. They received monthly intradermal injections of lyophilized PRP and saline solution (as control) into the facial skin, during a period of 2 months. The evaluation was performed by imaging method, histological techniques, and multiphoton microscopy. Although lyophilized PRP presented 10 times the platelet baseline value (P < .0001) and growth factors in adequate levels, only saline solution showed an increase of dermis thickness (p = .0009). Collagen pre and post-application remained the same for both types of treatments. The use of lyophilized PRP by mesotherapy showed no improvement on skin aging. TRIAL REGISTRATION APPROVAL: RBR-3n9wxw, UTN U1111-1226-6093-retrospectively registered.

Intense Pulsed Light: A Methodical Approach to Understanding Clinical Endpoints.

BACKGROUND: Intense Pulsed Light (IPL) is a non-coherent polychromatic broadband filtered flashlamp that emits light in the spectrum of approximately 400–1200 nm. Its effects on photorejuvenation are well documented. The goal of this study is to help practitioners better conceptualize and fine tune IPL device settings in order to produce the most effective and safest clinical outcome. MATERIALS/METHODS: This was a prospective study testing several filters (515 nm; 560 nm; 590 nm and 530–650; 900–1200 nm vascular filter), fluences, pulse durations, and pulse numbers (ie, multiple sequence pulsing or MSP) with a new IPL system. RESULTS: Post-procedure erythema response was more pronounced with increasing fluence, decreasing wavelength, fewer pulses and shorter pulse duration. The exception was the 515 nm filter with regard to pulse duration, which was observed to have a more pronounced response with longer pulse durations. The overall clinical outcome at the 4-week follow-up visit demonstrated greatest improvement in erythema and pigmentation using the 515 nm filter on a Fitzpatrick Skin Type III individual. CONCLUSION: Greatest clinical endpoint response at 4-week follow-up was observed with more robust initial responses. This was most apparent at higher fluence levels and fewer pulse counts. However, when the IPL is pushed to aggressive parameters, there is risk of hypopigmentation and hair loss as seen in this case study. Skin type is an important consideration when using IPL and MSP adds to its safety profile. J Drugs Dermatol. 2021;20(2):203-207. doi:10.36849/JDD.5638.