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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Published on: October 13, 2023

Revealing and Modeling NMR Relaxation Processes in Tissues: Endometrial Cancer Tissue as an Example.

Karol Kolodziejski¹, Farman Ullah¹, Krzysztof Jablonski²

¹Department of Physics and Biophysics, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.

Magnetic Resonance in Chemistry : MRC

|October 9, 2025

Summary

Nuclear Magnetic Resonance (NMR) relaxometry reveals unique proton (¹H) relaxation markers in endometrial cancer tissues. These findings highlight NMR

Keywords:

NMR power law relaxation relaxation models tissues

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Published on: August 4, 2021

Area of Science:

Biophysics
Biomedical Engineering
Oncology

Background:

Nuclear Magnetic Resonance (NMR) relaxometry is explored for tissue characterization.
Identifying tissue-specific markers is crucial for cancer diagnostics.
Endometrial cancer tissue analysis using NMR relaxometry is under investigation.

Purpose of the Study:

To identify characteristic relaxation markers in endometrial cancer tissues.
To assess the tissue and cancer specificity of these markers.
To evaluate the diagnostic potential of NMR relaxometry for endometrial cancer.

Main Methods:

Proton (¹H) spin-lattice and spin-spin relaxation studies were performed on 20 endometrial cancer tissue samples.
Spin-lattice relaxation experiments covered a frequency range from 10 kHz to 10 MHz.
Complementary relaxation measurements were conducted at 18.7 MHz.

Main Results:

Spin-lattice relaxation data followed a power-law function (exponent ~0.35) across the studied frequency range.
Spin-spin relaxation exhibited a bi-exponential decay in all samples.
Characteristic relaxation markers, including specific rates and frequency dependencies, were identified and compared to proteins and polymers.

Conclusions:

Several characteristic ¹H relaxation features distinguish endometrial cancer tissue.
These features include specific relaxation rates, frequency-dependent behaviors, and bi-exponential decay.
NMR relaxometry shows potential for developing diagnostic tools for endometrial cancer.