research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
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research A New Practical Classification for Spatial Distribution and Morphology of Human Hair: Ahmad's LGMA Classification
Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
research Relationship of Hair Regrowth Pattern in Alopecia Areata Patches According to DIMT Classification with Treatment Modalities and Patch Size: A Retrospective Cross-Sectional Analysis
Treatment type and patch size affect hair regrowth patterns in alopecia areata.
research Modified Basic And Specific (BASP) Classification For Pattern Hair Loss
The modified hair loss classification is more detailed but less user-friendly.
research Standardized Classification Tools in Dermatology: Time to Focus on Cutaneous Warts
The CWARTS tool is a promising method for assessing warts and could improve treatment and research.
research Prevalence of Fronto-Vertex Baldness and Its Association with Family History of Androgenetic Alopecia in Korean Men Using Basic and Specific Classification
Baldness is common in Korean men (60.5%), and those with a family history are 3.1 times more likely to have hairline recession.
research How I Do It: Ahmad’s NPRT System: A New Classification System for Documenting Male Pattern Baldness
Dr. Muhammad Ahmad created a simpler system to better describe male pattern hair loss.
research Frequency of Different Patterns of Hair Loss in Pakistani Men Using BASP Classification
M type hair loss is the most common in Pakistani men.
research Revised NPRT Classification System Encompasses Additional Patterns of Male and Female Hair Loss
The updated NPRT system now covers different types of hair loss in men and women.
research P154 Revised Basic and Specific Classification for Pattern Hair Loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
research Faculty Opinions Recommendation of a New Classification of Pattern Hair Loss That Is Universal for Men and Women: Basic and Specific (BASP) Classification
The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
research BASP Classification of Androgenetic Alopecia: Application Experience in Men
The M-type is the most common form of male hair loss, and the BASP-classification is easy for different medical professionals to use.
research Association Between Androgenetic Alopecia and Cardiovascular Risk Factors According to BASP Classification in Korean Androgenetic Alopecia
Korean patients with androgenetic alopecia may have a higher risk of heart-related health issues and could benefit from early heart screening and healthier lifestyles.
research Vitiligo - Part 2 - Classification, Histopathology and Treatment
New vitiligo treatments focus on controlling immune damage and restoring skin color.
research Cicatricial Alopecia: Classification and Histopathology
Early detection and histopathology are crucial to prevent permanent hair loss in cicatricial alopecia.
research Platelet-Derived Bio-Products: Classification Update, Applications, Concerns, and New Perspectives
Platelet-derived bio-products help in wound healing and tissue regeneration but lack standardized methods, and their use in medicine is growing.
research Lymphocytic Mediated Alopecia: Histological Classification by Pattern Analysis
Steven Kossard classified lymphocyte-related hair loss into four patterns, each linked to different types of baldness.
research Development of a Classification System for Extrinsic Hair Damage: Standard Grading of Electron Microscopic Findings of Damaged Hairs
Researchers created a standard system to grade hair damage using microscopic images.
research Obsessive-Compulsive Skin Disorders: A Novel Classification Based on Degree of Insight
The new classification system for skin disorders emphasizes the importance of understanding a patient's awareness of their condition for better treatment.
research Proposing a Simpler Classification of Telogen Effluvium
Alfredo Rebora suggested a new, easier way to classify hair loss in Telogen Effluvium, adding a type possibly related to autoimmune diseases.
research A New Classification of Male Pattern Baldness and a Clinical Study of the Anterior Hairline
Researchers created a new system to classify male baldness, finding six types and a common hairline shape, to improve hair loss treatments.
research The Ziering Whorl Classification of Scalp Hair
The conclusion is that creating natural-looking hair restoration requires replicating natural scalp whorl patterns and inserting grafts at specific angles.
research Rethinking The Classification Of Alopecia Areata
The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
research Evaluation of Long-Term Efficacy of Finasteride in Korean Men with Androgenetic Alopecia Using the Basic and Specific Classification System
Finasteride effectively treats hair loss in Korean men for at least 5 years, with V type responding better.
research Hair Transplantation in Women: A Practical New Classification System and Review of Technique
A new hair loss classification for women improves treatment, but careful patient selection is crucial for successful hair transplantation.
research A New Classification of Early Female Pattern Hair Loss
The new system helps detect and track early female hair loss better.
research The New Classification Criteria of Systemic Lupus Erythematosus
The 2012 SLICC criteria provide an updated method for classifying Systemic Lupus Erythematosus.
research Curl Pattern Classification: A Potential Tool for Communication and Risk Stratification
Classifying curl patterns might help doctors assess and treat hair loss better.
research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research The Utility of the Classification Tools in National Institute of Health and Clinical Excellence's Clinical Knowledge Summaries for Primary Care
Nearly half of the classification tools in the National Institute of Health and Clinical Excellence's Clinical Knowledge Summaries might not effectively guide management for general practitioners.