http://localhost:8080/xmlui/handle/123456789/78 2026-01-21T14:24:34Z http://localhost:8080/xmlui/handle/123456789/1901 Title: Collaborative use of susceptibility weighted Imaging with diffusion weighted imaging and Magnetic resonance angiography in the Assessment of acute arterial stroke using 3t Mri– a one year hospital based cross -sectional Study Authors: REG. NO: BS01201015 Abstract: INTRODUCTION Acute stroke is characterized by sudden onset of localized neurologic impairment, often with progressive worsening of symptoms. Instead of relying on stroke duration, imaging modalities like MRI can be used to measure tissue viability and estimate the time of stroke onset, known as the "tissue clock." This approach helps determine intervention timeframes. Thrombolytic treatment must be delivered within six hours of the onset of stroke to dissolve clots and restore blood circulation. Hence, for patients with an unknown stroke onset time, the most effective way to estimate it is using Diffusion weighted imaging (DWI) - Fluid attenuated inversion recovery (FLAIR) mismatch. The SWI-DWI mismatch is a significant indicator in acute ischemic stroke, indicating the presence of an ischemic penumbra. Patients with this mismatch have a higher rate of favourable outcomes after thrombolytic therapy compared to those without the mismatch, suggesting it can be used as an alternative method to select appropriate candidates for thrombolysis. SWI can detect cerebral microbleeds, which may increase the risk of bleeding with thrombolytic or antithrombotic therapy. Patients with a small number of microbleeds can be safely treated, while multiple microbleeds may indicate a higher risk. SWI can also identify the susceptibility vessel sign, which helps locate the precise position of the intraarterial thrombus, complementing the information provided by time-of-flight MRA on arterial occlusion. OBJECTIVES · To study the synergistic effect of SWI with DWI and MRA in the assessment of Acute Ischemic Stroke · To evaluate if SWI and DWI are more efficient than conventional MRI sequences for evaluating stroke and selecting patients for thrombolytic treatment. 2024-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1900 Title: Objective Evaluation Of Cerebral Venous Sinus Attenuation On Non Contrast Computed Tomography Of Brain And Correlation With Laboratory Hematocrit And Hemoglobin Indices In KLE's Dr Prabhakar Kore Hospital- A Cross Sectional Study Authors: REG.NO: BS0121014 Abstract: ABSTRACT: INTRODUCTION: In an acute neurologic setting, plain computed tomography (CT) of the brain is a crucial first-line study of choice. Concealed locations such as the confluence of venous sinuses are frequently missed unless they are clinically recognized. When a patient presents with a variety of clinical symptoms and presents a clinical conundrum, early patient management may benefit from the diagnosis of anemia, thrombosis, or polycythemia correlated with the CT attenuation values. AIMS & OBJECTIVES: Aim of this study was to determine an objective correlation between CT hounsfield attenuation and laboratory Hemoglobin and Hounsfield units and to predict anaemia by attenuation values. 2024-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1899 Title: Role of mri in characterization and categorization Of the site and type of spinal dysraphism – a one year Hospital based observational study Authors: REG. NO: BS0121013 Abstract: BACKGROUND Congenital conditions that cause aberrant growth in the spine and/or spinal cord are referred to as spinal dysraphism. Ectodermal, mesodermal, and neuroectodermal tissue maldevelopment is the root cause of it. To diagnose spinal dysraphism, a number of diagnostic modalities are available, including amniocentesis, USG, CT, and MRI. Among them, intracranial fluid-containing areas, including the ventricles, arachnoid cysts, and extra-axial fluid collections, can be measured and tracked in size using magnetic resonance imaging (MRI). MRI has helped with early diagnosis and characterization of SD for deciding early and individually tailored treatment plan. OBJECTIVE The objective of this study is to characterize and categorize the site and type of spinal dysraphism as seen on magnetic resonance imaging (MRI). We also assessed for the additional/ associated findings in cases of spinal dysraphism. 2024-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/1898 Title: Radiomics based assessment of Pulmonary nodules detected on high Resolution computed tomography of the Chest: a one year hospital based Observation study Authors: REG N0: BS0121012 Abstract: BACKGROUND Pulmonary nodules are a frequent incidental finding on thoracic CT scans, observed in approximately 30-50% of adult scans and 0.2% of chest radiographs. While most pulmonary nodules stem from previous infections or benign causes, their clinical significance varies based on size, growth rate, and malignancy potential. Small nodules typically follow a benign course and require no intervention, whereas larger or suspicious nodules necessitate histopathological evaluation to exclude malignancy (Swensen et al., 2000). The diagnostic challenge posed by pulmonary nodules is significant due to overlapping imaging features between benign and malignant lesions, variations in nodule characteristics over time, and limitations of imaging modalities in detecting small or subtle lesions. Conventional imaging relies on visual interpretation of descriptive parameters such as size, shape, and borders, but these subjective assessments are prone to inter- and intra-observer variability, leading to potential misdiagnosis (McWilliams et al., 2013). Radiomics, an emerging field, offers a promising solution by extracting a plethora of quantitative features from medical images. This data-driven approach aims to enhance diagnostic accuracy, prognosis, and therapy response predictions. Radiomics transforms standard medical images into high-dimensional data, capturing details about pixel intensity distributions, texture patterns, and spatial relationships within the imaged tissue that are not discernible by visual inspection alone (Aerts et al., 2014). viii In the context of pulmonary nodules, several studies have demonstrated the potential of radiomics in pulmonary nodule evaluation. For instance, Hawkins et al. (2016) showed that machine learning models incorporating radiomic features achieved sensitivities of up to 90% and specificities of 85% in distinguishing malignant from benign nodules. Additionally, McWilliams et al. (2013) developed a risk prediction model based on nodule characteristics, patient demographics, and smoking history, providing valuable insights into the likelihood of malignancy in early-stage nodules. Radiomics represents a paradigm shift in medical imaging, transforming conventional images into high-dimensional data that reveal detailed tissue characteristics. The extraction and analysis of quantitative imaging features allow for a comprehensive evaluation of pulmonary nodules beyond what is discernible through traditional visual inspection. By examining features related to texture, shape, and intensity, radiomics provides an in-depth understanding of the nodule's biological behavior. This research aims to harness the full potential of radiomics, emphasizing its role in differentiating between benign and malignant nodules with greater precision. The objective of this study is to use IBEX, a radiomics based open-source software for the evaluation and qualitative assessment of pulmonary nodules on high resolution chest tomography over a period of one year OBJECTIVES The primary objective of this research is to explore and validate the use of radiomics in the evaluation and qualitative assessment of pulmonary nodules through the utilization of the Imaging Biomarker Explorer (IBEX), an open-source radiomics software. 2024-01-01T00:00:00Z