Faculty of Medicine
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Item type:Publication, Differential Diagnosis of Diffuse Cystic Lung Disease at HRCT - An Overview(Biomedical & Clinical Research (Biores Scientia), 2024); ; ; Introduction: The diffuse cystic lung diseases (DCLDs) are a diverse group of lung disorders characterized by the presence of multiple regular or irregular spherical parenchymal lucencies bordered by a thin wall and having a well-defined interface with normal lung. Other lucent lung lesions like centrilobular emphysema, cavity, cystic bronchiectasis, honeycomb cyst, and pneumatoceles are close mimics of a lung cyst on high-resolution computed tomography (HRCT) HRCT is an important modality in the evaluation of interstitial lung disease to include cystic lung disease. This review describes a simple algorithmic approach for DCLDs on HRCT based on cyst’s distribution, size, and shape, as well as background parenchymal changes and it helps also in differentiation of common and uncommon diffuse cystic lung disease. Aim: The aim of the study is to present, describe and make differential diagnosis of this spectrum of diseases associated with air cysts at high-resolution CT. Conclusion: Diffuse cystic lung diseases are a group of complex disorders that often have an overlapping clinical presentation, but different underlying pathological processes. HRCT still remains the imaging of choice for the diagnosis of common diffuse cystic lung diseases. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The precision of CT in detecting atypical forms of active pulmonary tuberculosis(European Society of Radiology, 2024-05)The primary objective of this investigation is to underscore the intricate diagnostic capabilities inherent in Computed Tomography (CT) for discerning the nuanced presentations of active pulmonary tuberculosis (PTB). CT imaging stands out for its unparalleled precision in revealing subtle variations within PTB manifestations, often imperceptible through conventional radiography methods [1, 2]. This study emphasizes the paramount importance of comprehensive chest CT analysis in clinical practice. It aims to highlight the critical significance of identifiable diagnostic patterns and markers, advocating for their pivotal role as guiding indicators in the diagnostic process. The scientific underpinning of this approach stems from the collective observations in the field, underscoring the essentiality of leveraging discernible imaging features derived from CT scans for accurate and timely PTB diagnoses [3]. By delving into the nuanced insights gleaned from CT imaging, healthcare practitioners can better navigate the intricate challenges involved in the differential diagnosis of PTB. This research meticulously examines distinct CT imaging features, encompassing cavitation patterns, tree-in-bud opacities, and pleural involvement, with the goal of refining diagnostic precision and expanding the diagnostic toolkit available to clinicians. The comprehensive understanding and integration of these discernible CT imaging markers and patterns not only enhance diagnostic accuracy but also aid in monitoring treatment responses and identifying potential complications or disease relapses. This approach, founded on clinical observations and empirical evidence, empowers clinicians with a more nuanced, comprehensive, and evidence-based diagnostic approach essential for precise identification and effective management of PTB, thereby elevating standards of patient care. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Pulmonary manifestation of sarcoidosis detected on high resolution computed tomography(Macedonian Association of Anatomists, 2023); ; ; ; Sarcoidosis is a multisystemic disease of unknown etiology that mostly affects the lung parenchyma with interstitial and granulomatous changes of varying intensity and expression depending on the stage of the disease. In addition to the parenchyma and interstitium, the mediastinal lymph nodes are also very often affected. To analyze the distribution and characteristics of interstitial lung lesions and the involvement of mediastinal lymph nodes in pulmonary sarcoidosis by the method of high-resolution computed tomography.15patients diagnosed with pulmonary sarcoidosis were included in the study. Computed tomography with high resolution was made on 128 slice CT scanner PHILIPS INCISIVE, using 1 mm thin-slice thickness and high spatial frequencies algorithm for image reconstruction. Lymph nodes are classified as hilar and mediastinal with a maximum diameter of short axis of more than 10 mm taken as their enlargement. Pulmonary changes are classified as nodules, reticular opacities, fibrous lesions, ground glass opacities and consolidations. The predominant distribution of lesions in the upper and middle zones of the lungs compared to the lower zones was noted. The disease is graded in 5 stages with the Scadding classification. 15cases of patients diagnosed with sarcoidosis were analyzed all of whom are women in the age group of 30-60 years old. Two patients are in stage I and three are in III stage of the disease, 6patients are in stage II of sarcoidosis and 4 are in stage IV of the disease. Dry cough as a symptom predominates in all patients, while dyspnea is graded according to the mMRC scale. Mediastinal lymphadenopathy with and without calcifications was present in 11patients. The type of lung changes as well as their distribution are presented in graphs. HRCT is the method of choice in the evaluation of pathological changes in pulmonary sarcoidosis. It very precisely shows us the characteristic appearance of nodules and lesions, their distribution and atypical changes and helps us in grading the disease and its treatment. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Lung cancer in the Skopje region(Македонско лекарско друштво = Macedonian Medical Association, 2012-04-26); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Obstacles in early detection of lung cancer in the Republic of Macedonia(ECR, 2012-03); ;