Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks

Recently, deep learning has been employed in medical image analysis for several clinical imaging methods, such as X-ray, computed tomography, magnetic resonance imaging, and pathological tissue imaging, and excellent performance has been reported. With the development of these methods, deep learning technologies have rapidly evolved in the healthcare industry related to hair loss. Hair density measurement (HDM) is a process used for detecting the severity of hair loss by counting the number of hairs present in the occipital donor region for transplantation. HDM is a typical object detection and classification problem that could benefit from deep learning. This study analyzed the accuracy of HDM by applying deep learning technology for object detection and reports the feasibility of automating HDM. The dataset for training and evaluation comprised 4492 enlarged hair scalp RGB images obtained from male hair-loss patients and the corresponding annotation data that contained the location information of the hair follicles present in the image and follicle-type information according to the number of hairs. EfficientDet, YOLOv4, and DetectoRS were used as object detection algorithms for performance comparison. The experimental results indicated that YOLOv4 had the best performance, with a mean average precision of 58.67.

Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenic Alopecia

Since the results of basic and specific classification in male androgenic alopecia are subjective, and trichoscopic data, such as hair density and diameter distribution, are potential quantitative indicators, the aim of this study was to develop a deep learning framework for automatic trichoscopic image analysis and a quantitative model for predicting basic and specific classification in male androgenic alopecia. A total of 2,910 trichoscopic images were collected and a deep learning framework was created on convolutional neural networks. Based on the trichoscopic data provided by the framework, correlations with basic and specific classification were analysed and a quantitative model was developed for predicting basic and specific classification using multiple ordinal logistic regression. The aim of this study was to develop a deep learning framework that can accurately analyse hair density and diameter distribution on trichoscopic images, and a quantitative model for predicting basic and specific classification in male androgenic alopecia with high accuracy.

Beard and Moustache Reconstruction

Beard and moustache reconstruction has gained more popularity and acceptance over the last decade. The procedure is done for the correction of facial areas with hair density deficit and also for the cosmetic enhancement of pre-existing facial hair. The surgical technique includes the harvesting of grafts from the scalp by the follicular unit excision (FUE) or follicular unit transplantation (FUT) technique and then placing them in either premade slits or by stick and place method. The advancement and refinement of procedure over the years has aided in achieving the optimal aesthetic results, with minimal side effects.

Rock Fragment Content in Soils Shift Root Foraging Behavior in Xerophytic Species

Aims Root traits associated with resource foraging, including fine-root branching intensity, root hair and mycorrhiza, may change in soils with various physical structure indicated by rock fragment content (RFC), while how these traits covariate at the level of individual root branching order is largely unknown.Methods We subjected two xerophytic species, Artemisia vestita (subshrub) and Bauhinia brachycarpa (shrub), to increasing RFC gradients (0%, 25%, 50% and 75%, v v-1) in an arid environment and measured fine-root traits related to resource foraging.Results Root hair density and mycorrhizal colonization of both species decreased with increasing root order, but increased in 3rd- and 4th-order roots at high RFCs (50% or 75%). The two species tend to produce more root hairs than mycorrhizas under the high RFCs. For both species, root hair density and mycorrhizal colonization intensity were negatively correlated with root length and root diameter. Rockiness reduced root branching intensity in both species comparing with rock-free soil. At the same level of RFC, A. vestita had thicker roots and lower branching intensity than B. brachycarpa, and tended to produce more root hairs.Conclusion Our results suggest the high RFC soil conditions stimulated greater foraging functions in higher root orders. We found evidence for a greater investment in root hairs and mycorrhizal symbioses as opposed to building an extensive root system in rocky soils. The subshrub and shrub species took different approaches to foraging in the rocky soil through distinctive trait syndromes of fine-root components.

Evaluation of the Effectiveness of Personalized Treatment of Trace Element and Vitamin Status in Men with Initial Stages of Androgenic Alopecia Treated with Conservative Therapy

Background. Androgenic alopecia (AGA) is the most common form of pathological hair loss with multiple micronutrient disorders involvedin its occurrence and development. Aimto evaluatethe effectiveness of personalized treatment of micronutrient deficiencies in patients with early stages of AGA and conservative therapy using a vasodilator drug minoxidil based on evidence-based medicine. Methods. A total 48 patients with stages IIV of AGA (according to the NorwoodHamilton scale) were recruited to experimental prospective clinical study evaluating the effectiveness of pharmaceutical forms of trace elements and vitamins. The primary diagnosis of micronutrient deficiency was carried out by comparing laboratory parameters of patients with AGA and 25 healthy volunteers. After that, conservative treatment with 5% topical minoxidilin AGA patients was enriched with 2-month personalized systemic supplementation of pharmaceutical forms of trace elements and vitamins. At the end of the study, the correspondence between changes in trace elements and vitamins content in the plasma and the trichogram parameters before and after conservative therapy was assessed. Results. The majority (96%) of the examined patients with AGA were characterized by mono- or polynutrient deficiencies. Personalized correction made it possible to restore the content of Se, Mg, Fe and vitamin E to the baseline levels and to achieve a significant increase in Zn, vitamin D and folic acid plasma content. The relationship between changes in the level of micronutrients and trichogram parameters was recorded only for Se (decrease in anagen hairs: r = 0.43; p = 0.037; decrease in hair density: r = 0.45; p = 0.028) and folic acid (an increase in anagen hairs: r = 0.41; p = 0.024); the positive effect of vitamin E on hair density was also detected. Conclusion. The results of the study allow to recommend a personalized treatment of folic acid and vitamin E deficiencies, with possible refusal to use the Se-containing drugs in conservative therapy of patients with the early stages of AGA.

Hair phenotype diversity across Indriidae lemurs

Hair (i.e., pelage/fur) is a salient feature of primate (including human) diversity and evolution-serving functions tied to thermoregulation, protection, camouflage, and signaling-but wild primate pelage biology and evolution remain relatively understudied. Specifically, assessing multiple hypotheses across distinct phylogenetic scales is essential but is rarely conducted. We examine whole body hair color and density variation across the Indriidae lemurs (Avahi, Indri, Propithecus)-a lineage that, like humans, exhibits vertical posture (i.e., their whole bodies are vertical to the sun). Our analyses consider multiple phylogenetic scales (family-level, genus-level) and hypotheses (e.g., Gloger's rule, the body cooling hypotheses). Our results show that across the Indriidae family, darker hair is typical in wetter regions (per Gloger's rule). However, within Propithecus, dark black hair is common in colder forest regions, which may implicate thermoregulation and is the first empirical evidence of Bogert's rule in mammals. Results also show pelage redness increases in populations exhibiting enhanced color vision and may thus aid conspecific communication in forested environments. Lastly, across Indriidae, we find follicle density on the crown and limbs increases in dry and open environments-rare empirical evidence supporting an early hypothesis on hominin hair evolution. We find an effect of body size on hue (red hair) and hair density but not on brightness (black hair). This study highlights how different selective pressures across distinct phylogenetic scales have likely acted on primate hair evolution. Lastly, since hair does not fossilize, the results of follicle and hair density variation across this clade offer us some potential insight into contextualizing human hair evolution.

Innovative method of alopecia treatment by autologous adipose-derived SVF

Background Alopecia refers to a condition developed by gradual reduction of hair loss by various abnormal causes such as endocrine system, genetic factors, and stress. Stromal vascular fraction (SVF) isolated from the fat is one of the latest innovative solutions in the field of regeneration therapy. We focused on presenting effectiveness of clinical cases to improve AGA through transplantation of autologous SVF into the scalp. Objective To confirm the efficacy of the autologous SVF usage to the patients with AGA. Methods Nine patients (age range 43–64 years; 4 men, grade IV to V and 5 women, grade I to III), who are suffering from androgenic alopecia (AGA), were treated with single transplantation of autologous SVF in the upper scalp. Autologous SVF was isolated and characterized prior to the injection of live 7–9 × 106 cells into the patients’ treatment site. The hair loss improvement effect was assessed by three test criteria: hair skin quality, hair thickness and hair density 3 and 6 months after post-injection compared to pre-injection status. Results Hair density of SVF-treated side was significantly increased after 3 and 6 months of transplantation compared to non-treated side (P = 0.01 and P = 0.009 per each). And significant improvement in the score of the keratin on the scalp was seen in the injected area as compared to the non-injected area 6 months after transplantation (P = 0.032). Although thickness increase was observed at 3 and 6 months after transplantation, there was no statistical significance (P = 0.142 and 0.155, respectively). Conclusions One transplantation of autologous SVF for the AGA patients, hair density and score for the keratin were significantly increased within 6 months. This study shows that SVF is a very effective way to treat hair loss and most of subjects are satisfied with the result after treatment.

Trichotillomania Masked by Diffuse Alopecia Areata: A Case Report

An 11-year-old girl previously treated for tinea capitis presented a 3-month history of continuous decrease in hair density on the vertex, frontal, and parieto-temporal areas of the scalp. Hair pull test was negative. Trichoscopic findings showed black dots, micro-exclamation point hairs, regrowing vellus hair, and zigzag hairs. Histopathology showed CD3+ peribulbar lymphocytic infiltrates and occasional eosinophils around the anagen hair follicle consistent with a non-scarring alopecia. A diagnosis of diffuse alopecia areata was made. Patient was given methylprednisolone (0.5 mg/kg/day) for 2 weeks and noted marked increase in hair density except on focal areas of the scalp. Patient eventually admitted to occasional hair pulling. Trichoscopy revealed trichoptilosis, V-sign, tulip hairs, and multiple broken hairs of varying length while a second biopsy showed trichomalacia and pigment casts consistent with trichotillomania. In this case, where co-existence of alopecia areata and trichotillomania is considered to be uncommon, trichoscopy proved to be an important tool in differentiating hair disorders with similar presentation. Knowing key features of hair diseases can help elucidate the diagnosis when presented with an atypical case.

IMPROVEMENT OF ALOPECIA AND DECREASES IN HAIR CORTISOL AND DIHYDROTESTOSTERONE CONCENTRATIONS AFTER THE TOPICAL USE OF PLANT EXTRACTS IN MEN WITH ANDROGENETIC ALOPECIA

Objectives: Plant extracts possessing specific constituents with anti-inflammatory, antimicrobial, antioxidant, or 5α-reductase inhibitory properties are known to provide benefits against androgenetic alopecia (AGA) in men. A solid shampoo was formulated, and it contained a mixture of six different plant extracts that possess these beneficial properties against AGA. The improvement in AGA and changes in steroid concentrations were assessed after 4 months of formulated shampoo use. Methods: This study was conducted based on a randomized, placebo-controlled, and single-blind design. Hair-related variables and hair and saliva samples were collected bi-monthly in the treatment (n=48) and placebo (n=52) groups and at a single time point in the hairy controls (n=50). Results: The formulated shampoo was more effective on AGA than the placebo based on the hair shaft thickness and hair density in the receding hairline. The baseline hair cortisol and dihydrotestosterone (DHT) concentrations were significantly higher in the treatment and placebo groups than in the hairy controls. After 4 months, the hair steroid concentrations in the treatment group were reduced to those observed in the hairy controls, although the main effect of time on hair steroid concentrations was negligible in the placebo group. Salivary cortisol and DHT levels during the post-awakening period were comparable among the groups or assessment time points. Conclusion: The constituents of plant extracts included in the formulated shampoo would prevent hair loss, increase hair growth effects, and reduce hair cortisol and DHT concentrations without changes in the post-awakening salivary steroid levels in men with AGA.