hair loss
Recently Published Documents





Rosita Pensato ◽  
Antonio Zaffiro ◽  
Barbara Hersant ◽  
Concetta Errico ◽  
Jean Paul Meningaud ◽  

Raquel de Melo Carvalho ◽  
Leopoldo Duailibe Nogueira Santos ◽  
Paulo Müller Ramos ◽  
Carla Jorge Machado ◽  
Patricia Acioly ◽  

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 650
Minki Kim ◽  
Sunwon Kang ◽  
Byoung-Dai Lee

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.

2022 ◽  
pp. 1-4
Ralph M. Trüeb ◽  
Ngoc-Nhi Catharina Luu ◽  
Maria Fernanda Reis Gavazzoni Dias ◽  
Hudson Dutra Rezende

Oral finasteride represented a breakthrough for treatment of male pattern hair loss (MPHL), with clinical studies having demonstrated high efficacy of treatment and a favorable safety profile. And yet, fertility issues, malignancy, and postfinasteride syndrome have been concerns of users and prescribers of the drug. Pre-existing mental health disorder may put patients at an increased risk of nocebo, while the prevalence of personality disorders in subjects with MPHL is known to be higher than in the general population, specifically histrionic personality disorder. We devised a system for patient selection and risk assessment, including fertility issues, regular PSA determinations, and specific mental health assessment. For those who choose regular prostate cancer screening, the use of finasteride meaningfully reduces the risk of prostate cancer. While gynecomastia is a known, rare adverse effect of finasteride, so far, studies support the view that exposure to finasteride is not associated with male breast cancer risk. Patient understanding and involvement are central to optimal treatment selection and active patient role in treatment.

2022 ◽  
Linda Smail ◽  
Ghufran A. Jassim ◽  
Sarah Khan ◽  
Syed Tirmazy ◽  
Mouza Al Ameri

Abstract Background: This study examined the quality of life of Emirati women with breast cancer (BC).Methods: This study was a population-based study of a random sample of 250 Emirati women with BC. Quality of life (QoL) was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Cancer-Specific version (EORTC QLQ-C30, v.3.0) and the EORTC QoL Breast Cancer-Specific version (EORTC QLQ-BR23) translated into Arabic.Results: The mean age and median age of the 250 participants were 53.4 (SD ±11.3) and 52 years, respectively.Participants had a mean global health score of 74.73 (SD ±18.25), with a minimum of 16.67, indicating a good level of wellbeing.On the QLQ-C30, the Emirati women seemed to perform well on the functional scales but poorly on the symptom scales. While social functioning scored the highest (82.33 ±28.38) among the functional scales, emotional functioning scored the lowest (68.43 ±30.02). The most worrying symptom was sleep disturbance (47.87±38.46), followed by fatigue (38.18±30.31) and pain (29.13±28.01). Financial impact scored the lowest, indicating that most women did not have financial issues related to their cancer.On the QLQ-BR23, we found that participants performed above average to very good on the functional scales but poorly on the symptom scales. While sexual functioning scored the highest (86.07±22.61) among the functional scales, future perspective scored the lowest (50.80±37.92). The most worrying symptom was upset by hair loss (61.01±37.35), followed by arm symptoms (33.73±28.08).Conclusions: Emirati BC survivors reported good QoL overall. The most bothersome symptoms were sleep disturbance, fatigue, pain, hair loss and arm symptoms. Emirati women scored average on all functional scales, which indicates mediocre functioning, but high on the symptom scales, which indicates worse symptoms. Factors associated with a decline in the domains of QoL included age, income, education, metastases, mastectomy, and lymph node dissection. Recommendations to address these issues are discussed.Trial Registration: NA

2022 ◽  
pp. 1-5
Daniel Fernandes Melo ◽  
Paulo Müller Ramos ◽  
Matilde Iorizzo ◽  
Caren dos Santos Lima ◽  
Erica Baptista Pinto ◽  

<b><i>Introduction:</i></b> All types of lupus erythematosus (LE) may cause hair loss. Nonscarring alopecia was correlated with systemic LE, based on its high specificity. Discoid LE can also appear as nonscarring patches in early stages. Patchy alopecia LE-specific may also mimic alopecia areata (AA) – which can co-occur with LE. The distinction is fundamental to early diagnosis and effective treatment. This study aims to analyze clinical, epidemiological, trichoscopic, and histopathological features of patients with patchy LE-specific alopecia, nonscarring type, mimicking AA. <b><i>Methods:</i></b> This is a multicentric retrospective study. We reviewed the medical records of patients with a confirmed diagnosis of LE mimicking AA. <b><i>Results:</i></b> Ten patients were included (90% female) with a mean age of 45.9 years. Clinically, 60% showed erythema and 70% presented incomplete hair loss. The most common trichoscopic findings were interfollicular arborizing vessels (90%) and scattered brown discoloration (80%). On histopathology, perivascular inflammation (85.7%), peribulbar lymphocytes (85.7%), and dermal pigment incontinence (71.4%) were present in most cases. <b><i>Discussion/Conclusion:</i></b> Trichoscopy was found as an essential first step for the patchy alopecia diagnosis, enabling to differentiate LE from AA. Putting it mildly, trichoscopy raises the suspicion that leads to a biopsy, increasing the diagnostic accuracy with better outcome for patients.

2022 ◽  
pp. 62-75
Kiran Mustafa ◽  
Javaria Kanwal ◽  
Sara Musaddiq ◽  
Samia Khakwani

The primary aim of this study is to access the salient herbal plants with the active constituent of potentially anti-hair fall activities. It also presents the various reasons behind hair loss ailments. As part of this study, a focus is placed on active phytochemicals within these medicinal plants or natural products in terms of various hair fall disease treatments. As natural products have a beneficial effect to minimize hair loss and have promoted the potential for new hair growth, it presents the medicinal values of natural plants in reference to safety and effectiveness for health.

Sign in / Sign up

Export Citation Format

Share Document