Publications by authors named "Shailesh Nayak"

Background: The relationship between obesity and brain structure remains unclear, particularly in sedentary individuals. This study aimed to compare structural brain volumes among sedentary normal weight, overweight, and obese adults.

Materials And Methods: In this cross-sectional study, 102 sedentary adults (34 normal weight, 34 overweight, 34 obese) underwent brain MRI scans.

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Objectives: Radiation exposure has been a cause of concern in computed tomography imaging. Reducing radiation dose increases the image noise which can be compensated by using reconstruction techniques. Recently artificial intelligence-based reconstruction technique has been introduced.

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Background: Computed Tomography (CT) of the abdomen is one of the most frequently performed scans in adults for various abdominal pathologies. Its popularity stems from the immediate image reconstruction following acquisition. However, CT scans are known for their high radiation doses compared to other diagnostic X-ray procedures.

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Article Synopsis
  • Brain tumors are challenging to diagnose and classify in oncology, and radiomics—an emerging field that analyzes quantitative features from medical images—may improve treatment planning despite concerns about study methodologies.
  • A systematic review of literature identified 18 studies using radiomic features and machine learning models to classify gliomas, demonstrating their potential in distinguishing tumor subtypes and grades using various imaging techniques like MRI and PET/CT.
  • The findings suggest that radiomics can achieve high classification accuracy that sometimes surpasses traditional diagnostic methods and the performance of less experienced radiologists, highlighting the need for further validation in clinical practice.
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Background: Breast cancer (BC) is one of the main causes of cancer-related mortality among women. For clinical management to help patients survive longer and spend less time on treatment, early and precise cancer identification and differentiation of breast lesions are crucial. To investigate the accuracy of radiomic features (RF) extracted from dynamic contrast-enhanced Magnetic Resonance Imaging (DCE MRI) for differentiating invasive ductal carcinoma (IDC) from invasive lobular carcinoma (ILC).

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Environmental contamination due to plastic waste mismanagement is a growing global concern. Plastic problem is of particular concern to the Indian Ocean nations as Asia currently contributes to the highest share of mismanaged plastic waste. Consequently, there is a worldwide interest to understand the distribution and transboundary movement of plastic from this region, which is crucial for implementing management measures.

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