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Radiological Investigation I: X-ray and CT01:30

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
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Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Radiological, Radiomics, and Metastatic Patterns Associated with Targetable Oncogenic Drivers on CT-Scan of Newly

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Precision oncology transformed non-small cell lung cancer (NSCLC) care. This review explores radiogenomics, linking imaging features to genomic alterations in lung adenocarcinoma (LUAD) for better treatment.

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Area of Science:

  • Oncology
  • Radiology
  • Genomics
  • Precision Medicine

Background:

  • Non-small cell lung cancer (NSCLC) management is evolving with precision oncology.
  • Targeted therapies for specific molecular alterations improve outcomes in lung adenocarcinoma (LUAD).
  • Molecular screening and tissue sampling are crucial for therapeutic decisions.

Purpose of the Study:

  • To review the current state of radiogenomic research in NSCLC, particularly LUAD.
  • To explore the interplay between medical imaging and genomic alterations.
  • To highlight the potential of imaging biomarkers in guiding cancer therapy.

Main Methods:

  • Review of existing scientific literature on radiogenomics in NSCLC and LUAD.
  • Analysis of studies linking radiological phenotypes (radiophenotypes) to tumor genomic alterations.
  • Inclusion of research utilizing radiomics and artificial intelligence in quantitative imaging analysis.

Main Results:

  • Radiological phenotypes correlate with tumor genomic alterations.
  • Advancements in quantitative imaging analysis (radiomics, AI) offer new insights.
  • Imaging biomarkers show potential to complement or even replace biopsies ('virtual biopsy').

Conclusions:

  • Understanding the radiogenomic landscape in LUAD is critical for advancing precision oncology.
  • Further research is needed to clarify conflicting findings due to low driver prevalence.
  • Accurate imaging biomarkers can enhance therapeutic strategies for LUAD patients.