scholarly journals Granulomatous lesions of the skin

1970 ◽  
Vol 1 (2) ◽  
pp. 81-86 ◽  
Author(s):  
K Gautam ◽  
RR Pai ◽  
S Bhat
Keyword(s):  
Skin Diseases ◽  
Histopathological Examination ◽  
Skin Lesions ◽  
Diagnostic Challenge ◽  
Modes Of Presentation ◽  
Supportive Role ◽  
Granulomatous Lesions ◽  
Granulomatous Dermatitis ◽  
Skin Biopsies

Background: Granulomatous skin lesions often present as a diagnostic challenge to dermatopathologists due to various modes of presentation and identical histological picture produced by several causes. The aim of the study was to study different granulomatous skin lesions and to determine the relative frequency, the level of clinicopathologic concordance and to compare our results with those of other workers. Materials and Methods: A retrospective analysis of skin biopsies received over a period of two years from January 2007 to December 2008; was performed, and cases of granulomatous dermatitis reported on histopathological examination were reviewed along with special stains. Results: Out of a total of 1590 skin biopsies 106 (6.67%) cases were found to have a granulomatous reaction. It was common in males (63.21%) with most occurring in the fourth to fifth decades. Majority of cases (79 cases, 74.5%) were categorized as infectious granulomatous lesions with predominance of leprosy (63 cases, 79.7%) followed by tuberculosis (6 cases, 7.6%). An overall clinicopathologic concordance was seen in 97% of cases of leprosy. Conclusion: In this study leprosy is the most common cause of granulomatous skin lesions. It can be concluded that histopathology plays an important role in classification of leprosy, and in diagnosis and management of a variety of granulomatous skin diseases. Special stains play a supportive role in infectious granulomas. Keywords: Granulomatous skin lesion; Leprosy; Skin biopsy DOI: http://dx.doi.org/10.3126/jpn.v1i2.5397 JPN 2011; 1(2): 81-86

scholarly journals Profile of Skin Biopsies and Patterns of Granulomatous Skin Diseases in a Tertiary Care Center of Western Nepal

2020 ◽  
Vol 3 (2) ◽  
pp. 288-293
Author(s):  
Ajay Kumar ◽  
Saujan Subedi ◽  
Jenny Pun ◽  
Binamra Basnet ◽  
Raja Babu Giri ◽  
...  
Keyword(s):  
Skin Diseases ◽  
Care Center ◽  
Tertiary Care ◽  
Cost Effective ◽  
Skin Lesions ◽  
Clinical Impression ◽  
Clinicopathological Correlation ◽  
Diagnostic Challenge ◽  
Cross Sectional ◽  
Skin Biopsies

Background: Granulomatous skin diseases are one of the leading causes of morbidity in tropical countries like Nepal. These granulomatous skin lesions often pose diagnostic challenge to clinicians as well as to dermatopathologists. Histopathologic examination of a biopsy specimen represents one of the most informative and cost-effective procedure and may help to avoid other, costlier and invasive diagnostic workup. Materials and Methods: This cross-sectional observational study from October 2018 to October 2019, at department of dermatology, enrolled 142 cases of skin biopsies. Correlation between clinical impression and histopathological findings was evaluated. Results: Out of 13940 dermatology visits/ consultations, 142 (1.01%) skin biopsies were performed. Head, neck and face were the commonest sites of biopsies (29.6%). The most common biopsy technique was incisional type in 70 (50.4%). Histopathology showed granulomatous features in 49 (34.8%) cases, out of which tuberculoid type was the commonest, in 29 (58.0%). Positive clinicopathological correlation was seen in 117/142 (82.4%) for all biopsies and 41/49 (85%) for granulomaous skin lesions. Conclusion: Tuberculoid type was the most common cutaneous granuloma. High clinicopathological correlation in our study supports histopathology as an important tool for diagnosis of granulomatous as well overall skin disorders.

scholarly journals The Frequency and Causes of Subepidermal Gaps or Blisters and the Compliance Rate Between Clinical Diagnosis and Pathology Reports from 2015 to 2019

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Abbas Darjani ◽  
Hojat Eftekhari ◽  
Seyedeh Rojin Amini Rad ◽  
Narges Alizadeh ◽  
Rana Rafiee ◽  
...  
Keyword(s):  
Clinical Diagnosis ◽  
Skin Diseases ◽  
Histopathological Examination ◽  
Compliance Rate ◽  
Clinical Manifestations ◽  
Final Diagnosis ◽  
Direct Immunofluorescence ◽  
Diagnostic Challenge ◽  
Cross Sectional ◽  
Pathology Reports

Background: Skin diseases are the fourth most common cause of human illness, and blisters with different clinical manifestations make a diagnostic challenge. Objectives: This study aimed to evaluate the frequency and causes of subepidermal gaps or blisters, as well as the compliance rate between the initial and final clinical diagnoses based on pathology reports. Methods: In this cross-sectional study, pathology reports of subepidermal blisters or gaps were evaluated in the patients referred to the Razi Laboratory of Rasht from 2015 to 2019. The samples were examined by a pathologist after hematoxylin and eosin staining. The reports included demographic information, clinical differential diagnoses, final diagnosis, direct immunofluorescence findings, and salt split results. Finally, the compliance rate of clinical diagnosis with pathology reports was determined. Results: A total of 183 pathology reports were evaluated, 170 of which contained the final diagnosis. Females were more frequently affected by the disease, and pemphigoid bolus and lichen planus were the most prevalent final diagnoses. The compliance rate between the initial and final diagnoses was 94%. About 37.2% of the reports lacked direct immunofluorescence (DIF) and salt split, and only 42.6% of the samples had undergone DIF examination, while 20.2% had both DIF and salt split. There was no significant association between the compliance rate of the final diagnosis with age, sex, and undergoing diagnostic tests. Conclusions: A high incidence of subepidermal gaps or blisters was seen in middle-aged individuals and females. The compliance rate of the initial clinical diagnosis with the final diagnosis based on pathological reports was high. Our findings emphasize the importance of histopathological examination and the complementary role of direct immunofluorescence and salt split in diagnosis.

scholarly journals Clinico-histopathological correlation of skin biopsies in leprosy

2013 ◽  
Vol 3 (6) ◽  
pp. 452-458 ◽  
Author(s):  
U Manandhar ◽  
RC Adhikari ◽  
G Sayami
Keyword(s):  
Clinical Information ◽  
Lepromatous Leprosy ◽  
Cross Sectional ◽  
Histopathological Correlation ◽  
Granulomatous Lesions ◽  
Tuberculoid Leprosy ◽  
Special Stain ◽  
Different Types ◽  
Skin Biopsies

Background: In leprosy, there is a range of varied clinicopathologic manifestations and the diagnosis is made from adequate clinical information combined with bacilloscopy and histopathology which helps in diagnosing different types of leprosy and separating it from other granulomatous lesions. Aim of the study was to classify leprosy according to Ridley Jopling classification and perform the clinicopathological correlation. Materials and Methods: A cross sectional comparative study of skin biopsies of newly diagnosed leprosy recieved over a period of 18 months from January 2009 to June 2010 and clinicopathologic correlation was done along with special stain. Results: This study included 75 patients diagnosed clinically as leprosy. Skin biopsy revealed evidence of leprosy in 72 cases. Maximum number of patient clinically belonged to tuberculoid leprosy which constituted 25 (33%) cases followed by borderline tuberculoid 19 (25.33%). On the contrary, histologically borderline tuberculoid was the most common type (40%, n=30) cases and tuberculoid leprosy constituted (13.33%, n=10) cases. Three cases of clinically diagnosed tuberculoid leprosy showed no features of leprosy histologically. Clinical and histopathological correlation was seen in 34 cases (45.33%). The correlation was highest in borderline tuberculoid (63.15%) followed by borderline lepromatous and lepromatous leprosy. Slit skin smear was positive in 31 cases (43.05%). Fite Farraco stain was positive in 18 cases (25%). Conclusion: The classification of leprosy requires attention to the histopathological criteria and correlation with clinicalinformationand bacteriological examination so as to facilitate accurate therapy to prevent undesirable complication. DOI: http://dx.doi.org/10.3126/jpn.v3i6.8992   Journal of Pathology of Nepal (2013) Vol. 3, 452-458

Skin Cancer Classification with Deep Convolutional Neural Networks

2020 ◽  
Vol 10 (7) ◽  
pp. 1707-1713 ◽  
Author(s):  
Mingang Chen ◽  
Wenjie Chen ◽  
Wei Chen ◽  
Lizhi Cai ◽  
Gang Chai
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Skin Diseases ◽  
Survival Rates ◽  
Skin Lesions ◽  
Classification Model ◽  
Deep Convolutional Neural Networks ◽  
Image Preprocessing ◽  
Skin Cancers

Skin cancers are one of the most common cancers in the world. Early detections and treatments of skin cancers can greatly improve the survival rates of patients. In this paper, a skin lesions classification system is developed with deep convolutional neural networks of ResNet50, which may help dermatologists to recognize skin cancers earlier. We utilize the ResNet50 as a pre-trained model. Then, by transfer learning, it is trained on our skin lesions dataset. Image preprocessing and dataset balancing methods are used to increase the accuracy of the classification model. In classification of skin diseases, our model achieves an overall accuracy of 83.74% on nine-class skin lesions. The experimental results show an impressive effect of the ResNet50 model in finegrained skin lesions classification and skin cancers recognition.

scholarly journals Leprosy in Buriticupu, state of Maranhão: active search in the general population

2012 ◽  
Vol 45 (2) ◽  
pp. 199-202 ◽  
Author(s):  
Antonio Rafael da Silva ◽  
Ana Raquel Ribeiro dos Santos ◽  
Gisele Maria Campelo dos Santos ◽  
Vitor Emmanuel Bouças Silva ◽  
Eloisa da Graça do Rosário Gonçalves
Keyword(s):  
General Population ◽  
Detection Rate ◽  
Skin Diseases ◽  
Histopathological Examination ◽  
Skin Lesions ◽  
Clinical Form ◽  
Exact Test ◽  
Active Search ◽  
And Gender ◽  
Definition Of

INTRODUCTION: This study was developed to evaluate the situation of leprosy in the general population of the municipality of Buriticupu, State of Maranhão, Brazil. METHODS: We used the method of active search to identify new cases from 2008 to 2010. Bacilloscopy of intradermal scrapings was performed in all patients with skin lesions compatible with leprosy, and histopathological examination in those who had doubts on the definition of the clinical form. RESULTS: The study included 19,104 individuals, with 42 patients diagnosed with leprosy after clinical examination, representing a detection rate of 219.84 per 100,000 inhabitants. The predominant clinical presentation was tuberculoid with 24 (57.1%) cases, followed by borderline with 11, indeterminate with four, and lepromatous with three cases. The study also allowed the identification of 81 patients with a history of leprosy and other skin diseases, such as pityriasis versicolor, dermatophytosis, scabies, vitiligo, and skin carcinoma. The binomial test showed that the proportion of cases in the headquarters was significantly higher than that in the villages (p = 0.04), and the generalized exact test showed that there was no association between age and clinical form (p = 0.438) and between age and gender (p = 0.083). CONCLUSIONS: The elevated detection rate defines the city as hyperendemic for leprosy; the active search for cases, as well as the organization of health services, is an important method for disease control.

scholarly journals Histopathological study of cutaneous granulomas

2019 ◽  
Vol 9 (2) ◽  
pp. 1535-1541
Author(s):  
Aasiya Rajbhandari ◽  
Ram Chandra Adhikari ◽  
Shreya Shrivastav ◽  
Sudip Parajuli
Keyword(s):  
Histopathological Examination ◽  
Wide Spectrum ◽  
Cross Sectional Study ◽  
Histopathological Study ◽  
Microbial Culture ◽  
Cross Sectional ◽  
Granulomatous Lesions ◽  
Tuberculoid Leprosy ◽  
Cutaneous Granuloma ◽  
Skin Biopsies

Background: Cutaneous granulomas comprise a wide spectrum of diseases that are frequently encountered. Since clinical assessment alone is insufficient in most of the cases, skin biopsies are a basic requisite in evaluating these lesions. Histopathological examination, although helpful in deciding the nature of granulomas and etiology in most of the cases, maybe noncontributory in some cases, thus requiring further ancillary tests such as microbial culture, polymerase chain reaction. Materials and Methods: This prospective cross sectional study enrolled 109 cases of skin biopsies after histopathological confirmation of granulomatous lesions. The specimens were received at the Department of Pathology from 14th April 2017 to 13th April 2018. Results: Out of 650 skin biopsies, 109 cases (16.8%) were diagnosed as granulomatous lesions on histology. Male predilection was noted and age group of 31 to 40 years was the commonest affected. Upper extremities were more commonly involved. Leprosy was the commonest etiological agent and tuberculoid granulomas were the commonest type based on their histology. Conclusions: Leprosy was the most common cause of cutaneous granuloma followed by Tuberculosis, fungal infection and foreign body reaction. Among the cases of leprosy, borderline tuberculoid leprosy and tuberculoid leprosy were the commonest subtype.

scholarly journals Granulomatous Skin Lesions in Moray Eels Caused by a Novel Mycobacterium Species Related toMycobacterium triplex

2001 ◽  
Vol 69 (7) ◽  
pp. 4639-4646 ◽  
Author(s):  
Lawrence H. Herbst ◽  
Sylvia F. Costa ◽  
Louis M. Weiss ◽  
Linda K. Johnson ◽  
John Bartell ◽  
...  
Keyword(s):  
Room Temperature ◽  
Histopathological Examination ◽  
Granulomatous Inflammation ◽  
Skin Lesions ◽  
Rrna Gene ◽  
Mycobacterium Species ◽  
Skin Nodules ◽  
Granulomatous Dermatitis ◽  
Axial Musculature ◽  
The 16S Rrna Gene

ABSTRACT An outbreak of granulomatous dermatitis was investigated in a captive population of moray eels. The affected eels had florid skin nodules concentrated around the head and trunk. Histopathological examination revealed extensive granulomatous inflammation within the dermis and subcutaneous fascial plane between the fat and axial musculature. Acid-fast rods were detected within the smallest lesions, which were presumably the ones that had developed earliest. Eventually, after several months of incubation at room temperature, a very slowly growing acid-fast organism was isolated. Sequencing of the 16S rRNA gene identified it as a Mycobacterium species closely related (0.59% divergence) to M. triplex, an SAV mycobacterium. Intradermal inoculation of healthy green moray eels with this organism reliably reproduced the lesion. Experimentally induced granulomatous dermatitis appeared within 2 weeks of inoculation and slowly but progressively expanded during the 2 months of the experiment. Live organisms were recovered from these lesions at all time points, fulfilling Koch's postulates for this bacterium. In a retrospective study of tissues collected between 1993 and 1999 from five spontaneous disease cases, acid-fast rods were consistently found within lesions, and a nested PCR for the rRNA gene also demonstrated the presence of mycobacteria within affected tissues.

scholarly journals Mediators of Mast Cells in Bullous Pemphigoid and Dermatitis Herpetiformis

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Agnieszka Zebrowska ◽  
Malgorzata Wagrowska-Danilewicz ◽  
Marian Danilewicz ◽  
Olga Stasikowska-Kanicka ◽  
Lilianna Kulczycka-Siennicka ◽  
...  
Keyword(s):  
Mast Cells ◽  
Bullous Pemphigoid ◽  
Skin Diseases ◽  
Dermatitis Herpetiformis ◽  
Skin Lesions ◽  
Autoimmune Blistering Disease ◽  
Mmp9 Expression ◽  
Skin Biopsies ◽  
Cell Expression ◽  
Perilesional Skin

Bullous pemphigoid (BP) and dermatitis herpetiformis (DH) are skin diseases associated with inflammation. However, few findings exist concerning the role of mast cells in autoimmune blistering disease. Skin biopsies were taken from 27 BP and 14 DH patients, as well as 20 healthy individuals. Immunohistochemistry was used to identify the localization and mast cell expression of TNFα and MMP9 in skin lesions and perilesional skin. The serum concentrations of TNFα, MMP9, chymase, tryptase, PAF, and IL-4 were measured by immunoassay. TNFα and MMP9 expression in the epidermis and in inflammatory influxed cells in the dermis was detected in skin biopsies from patients. Although these mediators were found to be expressed in the perilesional skin of all patients, the level was much lower than that in lesional skin. Increased serum PAF levels were observed in BP patients. Mast cells may play an essential role in activating inflammation, which ultimately contributes to the tissue damage observed in BP and DH. Our findings suggest that differences in the pattern of cytokine expression directly contribute to variations in cellular infiltration in DH and BP.

scholarly journals Classification Of Skin Lesions By Topological Data Analysis Alongside With Neural Network

2020 ◽  
Author(s):  
Naiereh Elyasi ◽  
mehdi hosseini moghadam
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Data Analysis ◽  
Skin Diseases ◽  
Persistent Homology ◽  
Skin Lesions ◽  
Topological Data Analysis ◽  
Deep Convolutional Neural Networks ◽  
Classification Result

In this paper we use TDA mapper alongside with deep convolutional neural networks in the classification of 7 major skin diseases. First we apply kepler mapper with neural network as one of its filter steps to classify the dataset HAM10000. Mapper visualizes the classification result by a simplicial complex, where neural network can not do this alone, but as a filter step neural network helps to classify data better. Furthermore we apply TDA mapper and persistent homology to understand the weights of layers of mobilenet network in different training epochs of HAM10000. Also we use persistent diagrams to visualize the results of analysis of layers of mobilenet network.

scholarly journals An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions

Computers ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 62 ◽  
Author(s):  
Nazia Hameed ◽  
Fozia Hameed ◽  
Antesar Shabut ◽  
Sehresh Khan ◽  
Silvia Cirstea ◽  
...  
Keyword(s):  
Classification Scheme ◽  
Skin Diseases ◽  
Research Work ◽  
Skin Lesions ◽  
Disease Classification ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Classification Framework ◽  
Computer Aided

Skin diseases cases are increasing on a daily basis and are difficult to handle due to the global imbalance between skin disease patients and dermatologists. Skin diseases are among the top 5 leading cause of the worldwide disease burden. To reduce this burden, computer-aided diagnosis systems (CAD) are highly demanded. Single disease classification is the major shortcoming in the existing work. Due to the similar characteristics of skin diseases, classification of multiple skin lesions is very challenging. This research work is an extension of our existing work where a novel classification scheme is proposed for multi-class classification. The proposed classification framework can classify an input skin image into one of the six non-overlapping classes i.e., healthy, acne, eczema, psoriasis, benign and malignant melanoma. The proposed classification framework constitutes four steps, i.e., pre-processing, segmentation, feature extraction and classification. Different image processing and machine learning techniques are used to accomplish each step. 10-fold cross-validation is utilized, and experiments are performed on 1800 images. An accuracy of 94.74% was achieved using Quadratic Support Vector Machine. The proposed classification scheme can help patients in the early classification of skin lesions.

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