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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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Delta radiomics: an updated systematic review.

Valerio Nardone1, Alfonso Reginelli2, Dino Rubini2

  • 1Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138, Naples, Italy. Valerio.nardone@unicampania.it.

La Radiologia Medica
|July 17, 2024
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Summary

Delta radiomics, analyzing feature changes over time, shows promise in oncology for diagnosis and treatment prediction. However, current studies lack methodological rigor, requiring further research for clinical validation.

Keywords:
Delta radiomicsMeta-analysisOncologyPrecision medicineRadiomicsRadiotherapyTexture analysis

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Area of Science:

  • Radiological imaging analysis
  • Quantitative medical imaging
  • Oncology research

Background:

  • Radiomics extracts quantitative imaging features linked to biological traits and clinical outcomes.
  • Delta radiomics analyzes feature variations across different time points, typically pre- and post-therapy.
  • This study systematically reviews various delta radiomics methodologies.

Approach:

  • A systematic literature search was conducted in Embase, Pubmed, and ScienceDirect.
  • Keywords included 'radiomics,' 'texture,' and 'delta,' utilizing both free text and MeSH terms.
  • Study quality was assessed using QUADAS-2 and the Radiomics Quality Score (RQS) tool.

Key Points:

  • Forty-eight studies were included, covering diverse cancer types like lung, rectal, and gastrointestinal malignancies.
  • The median RQS was 25%, with over 50% of studies scoring below 25%, indicating low methodological quality.
  • Lung cancer (25%) and gastrointestinal malignancies (14.6%) were the most frequently studied areas.

Conclusions:

  • Delta radiomics demonstrates potential in oncology for differential diagnosis, prognosis, and treatment response prediction.
  • Current evidence is limited by low methodological rigor, leading to heterogeneous and non-replicable conclusions.
  • Prospective, multicenter studies are essential for the clinical validation of delta radiomics.