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Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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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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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Updated: Dec 24, 2025

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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Radiomics: A primer for the radiation oncologist.

J-E Bibault1, L Xing2, P Giraud3

  • 1Radiation Oncology Department, hôpital européen Georges-Pompidou, Assistance publique-Hôpitaux de Paris, 20, rue Leblanc, 75015 Paris, France; Université de Paris, 85, boulevard Saint-Germain, 75006 Paris, France; Inserm, UMR 1138, Team 22: Information Sciences to support Personalized Medicine, 15, rue de l'École-de-Médecine, 75006 Paris, France.

Cancer Radiotherapie : Journal De La Societe Francaise De Radiotherapie Oncologique
|April 9, 2020
PubMed
Summary
This summary is machine-generated.

Radiomics, extracting quantitative imaging features, shows potential for predicting outcomes in radiation therapy. However, current studies are heterogeneous and require further development for clinical application.

Keywords:
Apprentissage profondClinical oncologyCliniqueDeep learningMachine learningModelingModélisationOncologieRadiation oncologyRadiomicsRadiomiqueRadiothérapie

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Area of Science:

  • Radiomics and medical imaging analysis.
  • Quantitative feature extraction from medical images.
  • Application of informatics in predictive modeling.

Background:

  • Radiomics leverages medical imaging to extract quantitative features for patient phenotyping.
  • Various imaging modalities and software packages can be utilized for radiomics analysis.

Purpose of the Study:

  • To explain the major steps of a radiomics analysis pipeline.
  • To present studies on radiomics in the context of radiation therapy.

Main Methods:

  • A literature review was conducted using Medline via PubMed.
  • Search terms included "radiotherapy", "radiation oncology", and "radiomics".
  • Hand searching of reference lists was performed in July 2019.

Main Results:

  • A standard radiomics workflow involves five steps: imaging/segmentation, data curation, feature extraction, selection, and modeling.
  • Published radiomics studies in radiation oncology cover lung, head and neck, esophageal, rectal, pancreatic cancers, and brain metastases.
  • The quality of retrospective radiomics studies is varied, and clinical translation is pending.

Conclusions:

  • Radiomics holds significant potential for predicting clinical outcomes and personalizing radiation therapy.
  • The field is nascent and evolving, necessitating improvements in bias reduction and multicenter studies.
  • Further research is needed to develop robust and generalizable radiomics models for clinical use.