Jornal de Citologia e Histologia

Histopathology is a cornerstone of modern medicine, enabling the diagnosis and understanding of various diseases at a microscopic level. In recent years, Artificial Intelligence (AI) has emerged as a transformative tool in histopathology, offering new capabilities and efficiencies in disease detection, classification, and prognosis. This article provides a comprehensive overview of the role of AI in histopathology, discussing its applications, challenges, and potential future directions. It covers topics such as image analysis, machine learning, deep learning, and the ethical considerations surrounding AI implementation. This article provides a comprehensive overview of the role of AI in histopathology. It will cover the various applications, challenges, and future prospects of AI in this field, including image analysis, machine learning, deep learning, and ethical considerations.

Histopathology plays a pivotal role in the era of personalized medicine, where treatment strategies are increasingly tailored to individual patients. This article explores the convergence of histopathology and personalized medicine, highlighting the significance of histopathological analysis in guiding patient-specific treatment plans. We delve into the evolving landscape of personalized medicine and the diverse techniques and technologies that are revolutionizing the field of histopathology. Histopathology, Personalized medicine, Precision medicine, Treatment strategies, Biomarkers, Molecular diagnostics. In some cases, obtaining adequate tissue samples for histopathological analysis can be challenging, especially in metastatic or recurrent cancers.

Histopathological examination is a fundamental tool in the diagnosis and prognosis of various diseases, including cancer. Traditional histopathology relies on the visual analysis of tissue samples, often accompanied by stains that highlight specific features. However, this method has limitations, especially when distinguishing between different tissue types and subtypes. Immunohistochemistry (IHC) has revolutionized histopathology by introducing the use of antibodies to detect specific proteins within tissues. This article explores the significant impact of immunohistochemistry in histopathological diagnosis, discussing its principles, applications, advantages, and challenges.

Histopathology, the study of tissue at a microscopic level, has long been a cornerstone of oncology. It has played a crucial role in cancer diagnosis, prognosis, and treatment planning. However, recent advancements in the field have enabled histopathologists to delve even deeper into the intricacies of cancer biology by examining the tumor microenvironment. This article explores the significance of histopathology in understanding the complex interactions within the tumor microenvironment, shedding light on the secrets that hold the key to more effective cancer therapies.

Histopathology, the microscopic examination of tissue samples to diagnose diseases, has been a cornerstone of modern medicine for over a century. While the fundamental principles of histopathology have remained largely unchanged, the field is on the cusp of a revolutionary transformation. In this article, we explore the innovations and breakthroughs shaping the future of histopathology, from digital pathology and artificial intelligence to advanced imaging techniques and personalized medicine.

Neurological disorders encompass a wide range of conditions that affect the central and peripheral nervous systems, often leading to significant disability and reduced quality of life. Histopathological techniques have played a crucial role in understanding the underlying mechanisms of these disorders. This article provides an overview of current insights gained through histopathological approaches in studying neurological disorders.

Histopathology is a fundamental discipline in veterinary medicine that has undergone remarkable advancements in recent years. This article explores the evolving landscape of histopathology in veterinary medicine, focusing on the latest technologies, applications, and their impact on animal healthcare. We also discuss the importance of histopathology in disease diagnosis and treatment, highlighting the crucial role it plays in improving the overall well-being of animals.

Aims: Lymphatic invasion by D2-40 immunostaining has been evaluated based on the presence of carcinoma cells in the lymphatic lumen, but the entering of carcinoma cells with an invading style into the lymphatic lumen of a lymphatic vessel was reported in early gastric adenocarcinoma (EGAC), in which carcinoma cells localize within mucosa or submucosa. Here, a detailed examination of lymphatic invasion by D2-40 immunostaining is made in EGAC. Methods: A total of 204 EGAC patients who underwent endoscopic submucosal dissection was examined. Lymphatic invasion was classified as intra-lumen type and invading type by D2-40 immunostaining. In the intra-lumen type, carcinoma cells are present in the lymphatic lumen. In the invading type, carcinoma cells invade the lymphatic vessel with destruction of the lymphatic wall and enter the lymphatic lumen.

Histopathology has long been a cornerstone of disease diagnosis and prognosis, enabling healthcare professionals to examine tissue samples for abnormalities and pathological changes. In recent years, the field of histopathology has seen remarkable advancements, driven by innovative techniques and technologies. This article explores emerging trends in histopathology techniques for disease detection, covering topics such as digital pathology, Artificial Intelligence (AI) integration, multiplexed assays, and tissue engineering. These trends are reshaping the landscape of histopathology, offering improved accuracy, efficiency, and diagnostic insights, ultimately leading to better patient care.