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The Quantitative Imaging Network in Precision Medicine.

Robert J Nordstrom¹

¹Cancer Imaging Program, National Cancer Institute, Division of Cancer Treatment and Diagnosis, Bethesda, Maryland.

Tomography (Ann Arbor, Mich.)

|January 14, 2017

Summary

Precision medicine uses patient data for tailored treatments. Quantitative imaging provides reliable data from medical scans to improve treatment decisions and predict patient response.

Area of Science:

Medical imaging
Precision medicine
Quantitative analysis

Background:

Precision medicine tailors healthcare using individual patient data.
Medical imaging is crucial for patient stratification but faces challenges.
Quantitative imaging aims to overcome limitations of qualitative image analysis.

Purpose of the Study:

To highlight advancements in quantitative imaging.
To promote quantitative imaging methods for clinical decision support.
To address challenges in medical imaging for precision medicine.

Main Methods:

Development of quantitative imaging techniques.
Application of quantitative imaging in clinical decision support.
Focus on extracting reliable, numerical information from medical images.

Keywords:

Quantitative Imaging Network precision medicine therapy response

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Main Results:

Quantitative imaging offers accurate measures of tumor response.
Developments enable better prediction of future treatment response.
Standardization and interoperability are key for clinical applicability.

Conclusions:

Quantitative imaging is vital for advancing precision medicine.
Overcoming current limitations will enhance clinical decision support.
The National Cancer Institute Quantitative Imaging Network drives progress in this field.