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1.
Cureus ; 15(6): e40271, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-37448397

RESUMEN

BACKGROUND: Hypopigmented patches in patients with skin of color are usually a cause of concern. Pityriasis alba is a common skin condition that causes visible patches of hypopigmentation in children and adolescents. In addition to the cosmetic impairment, parents are concerned about the diagnosis of vitiligo and leprosy which also cause hypopigmented patches and have negative social implications. Dermoscopy is a useful diagnostic aid that is acquiring prominence in diagnosing a variety of skin diseases. Few studies exist that validate the use of dermoscopy as an effective tool in the diagnosis of Pityriasis alba. OBJECTIVE: To evaluate the effectiveness of dermoscopy by correlating the clinical features of Pityriasis alba with dermoscopic images. METHODS: Hypopigmented patches in 16 patients that were clinically diagnosed as Pityriasis alba were examined with a DermLite DL200 Hybrid dermoscope (Dermlite, CA, USA). All the dermoscopic images were photographically recorded and the findings were noted and correlated with the clinical stages of the disease. RESULTS: Out of the 40 patches examined in 16 patients, dermoscopic images of white structureless spots, scaling, indistinct borders and normally pigmented hairs were consistently present in all the patches to propose these as the four dermoscopic criteria for the diagnosis of Pityriasis alba. Areas of light brown pigmentation, 17 (42.5%), erythema, 3 (7.5%), and faint pigmented network,11 (27.5%) were the other features noted in some of the patches. CONCLUSION: In an ethnic South Indian population where the skin color is predominantly brown, hypopigmented patches are visibly obvious and concerning. Pityriasis alba, Pityriasis versicolor, Vitiligo, Nevus depigmentosus, and Leprosy are the five common conditions seen among children of which Pityriasis alba is the most prevalent. Offering the right diagnosis is essential for the correct management as well as excluding more serious conditions such as leprosy and vitiligo. In this study, Dermoscopy provided a valuable diagnostic aid in achieving this objective.

2.
Mod Pathol ; 36(2): 100003, 2023 02.
Artículo en Inglés | MEDLINE | ID: mdl-36853796

RESUMEN

The pathologic diagnosis of bone marrow disorders relies in part on the microscopic analysis of bone marrow aspirate (BMA) smears and the manual counting of marrow nucleated cells to obtain a differential cell count (DCC). This manual process has significant limitations, including the analysis of only a small subset of optimal slide areas and nucleated cells, as well as interobserver variability due to differences in cell selection and classification. To address these shortcomings, we developed an automated machine learning-based pipeline for obtaining 11-component DCCs on whole-slide BMAs. This pipeline uses a sequential process of identifying optimal BMA regions with high proportions of marrow nucleated cells, detecting individual cells within these optimal areas, and classifying these cells into 1 of 11 DCC components. Convolutional neural network models were trained on 396,048 BMA region, 28,914 cell boundary, and 1,510,976 cell class images from manual annotations. The resulting automated pipeline produced 11-component DCCs that demonstrated a high statistical and diagnostic concordance with manual DCCs among a heterogeneous group of testing BMA slides with varying pathologies and cellularities. Additionally, we demonstrated that an automated analysis can reduce the intraslide variance in DCCs by analyzing the whole slide and marrow nucleated cells within all optimal regions. Finally, the pipeline outputs of region classification, cell detection, and cell classification can be visualized using whole-slide image analysis software. This study demonstrates the feasibility of a fully automated pipeline for generating DCCs on scanned whole-slide BMA images, with the potential for improving the current standard of practice for utilizing BMA smears in the laboratory analysis of hematologic disorders.


Asunto(s)
Médula Ósea , Procesamiento de Imagen Asistido por Computador , Humanos , Recuento de Células , Aprendizaje Automático , Redes Neurales de la Computación
3.
Cureus ; 15(1): e33979, 2023 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-36811046

RESUMEN

Background and aims Abnormal vaginal discharge is a prevailing gynecological problem among women in the reproductive age group. Vaginal discharges have multiple etiologies, and the present study was conducted with the objective of determining the prevalence of common organisms causing vaginal discharge and correlating with its various types of clinical presentations in those women attending a rural health centre of a medical college in Tamil Nadu, India. Materials and methods The study was a cross-sectional descriptive study, conducted in a rural health center of a teaching hospital in Tamil Nadu, India, from February 2022 to July 2022. All the patients clinically having the symptoms of vaginitis and with a discharge were included in this study, and postmenopausal women and pregnant women were excluded. Data was collected from a total of 175 patients. Results The mean (SD) age of the study population was 34.8 (6.9) years. Almost half, 91 (52%), of the study participants were in the age group of 31-40 years. Bacterial vaginosis was found in 74 (42.3%) and was the most common cause of abnormal vaginal discharge in our study participants, followed by vulvovaginal candidiasis, 34 (19.4%). There were significant associations between high-risk sexual behavior and the presence of co-morbidities with abnormal vaginal discharge. Conclusion The most common causes of abnormal vaginal discharge were found to be bacterial vaginosis followed by vulvovaginal candidiasis. The study results help to initiate early appropriate treatment for effective management of a community health problem.

4.
Cureus ; 14(9): e28938, 2022 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-36237736

RESUMEN

Neurofibromatosis type 1 is characterized by multiple cutaneous neurofibromas of varying sizes along with skeletal, neurologic, and ophthalmic features. Solitary swellings in neurofibromatosis type 1 are not commonly encountered except in the form of plexiform neurofibromas. We report two cases with neurofibromatosis type 1 presenting with solitary swelling in the ankles which were proven to be the diffuse type of neurofibroma, radiologically and histopathologically. Diffuse type neurofibroma presenting as ankle swelling in type 1 neurofibromatosis has not been reported before.

5.
Nat Commun ; 10(1): 2410, 2019 06 03.
Artículo en Inglés | MEDLINE | ID: mdl-31160587

RESUMEN

Medulloblastoma, which is the most common malignant paediatric brain tumour, has a 70% survival rate, but standard treatments often lead to devastating life-long side effects and recurrence is fatal. One of the emerging strategies in the search for treatments is to determine the roles of tumour microenvironment cells in the growth and maintenance of tumours. The most attractive target is tumour-associated macrophages (TAMs), which are abundantly present in the Sonic Hedgehog (SHH) subgroup of medulloblastoma. Here, we report an unexpected beneficial role of TAMs in SHH medulloblastoma. In human patients, decreased macrophage number is correlated with significantly poorer outcome. We confirm macrophage anti-tumoural behaviour in both ex vivo and in vivo murine models of SHH medulloblastoma. Taken together, our findings suggest that macrophages play a positive role by impairing tumour growth in medulloblastoma, in contrast to the pro-tumoural role played by TAMs in glioblastoma, another common brain tumour.


Asunto(s)
Neoplasias Cerebelosas/inmunología , Macrófagos/inmunología , Meduloblastoma/inmunología , Microambiente Tumoral/inmunología , Animales , Antígenos CD/genética , Antígenos CD/metabolismo , Antígenos de Diferenciación Mielomonocítica/genética , Antígenos de Diferenciación Mielomonocítica/metabolismo , Antígeno CD11b/genética , Antígeno CD11b/metabolismo , Proteínas de Unión al Calcio , Neoplasias Cerebelosas/genética , Neoplasias Cerebelosas/metabolismo , Quimiocina CCL2/inmunología , Quimiocina CCL2/metabolismo , Proteínas de Unión al ADN/genética , Modelos Animales de Enfermedad , Proteínas Hedgehog/metabolismo , Humanos , Macrófagos/metabolismo , Meduloblastoma/genética , Meduloblastoma/metabolismo , Ratones , Proteínas de Microfilamentos , Microglía/inmunología , Células Mieloides/inmunología , Receptores CCR2/genética , Regulación hacia Arriba
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