A generalized QUCESOP method for amide and NOE quantification in rat brain tumor

Motivation: Current CEST quantification methods only calculated the fractional concentration fb and the exchange rate kb for each solute pool, but consider R2b as a constant. Goal(s): To quantify the change of b, kb and R2b corresponding to the amide and NOE pool in brain tumor imaging of rats. Approach: Partial Z-spectra around the target frequency offsets were acquired using several saturation amplitudes, and the QUCESOP method was employed to fit the parameters of the amide solute and the “NOE solute” respectively. Results: Tumor exhibited higher R2b and lower fb for “NOE solute”, with a slightly-elevated amide pool size, compared with the normal tissue. Impact: Tumor displayed an increase of R2b and a decrease of fb for the “NOE solute”, that originated from the aliphatic protons on the macromolecular pool. The larger R2b may reflect the increased cell density in the tumor region.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4441
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A generalized QUCESOP method for amide and NOE quantification in rat brain tumor

Jia‐Hong Gao, Fan Yang, Xiaolei Song, Yi Wang
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Mass Spectrometry Techniques and Applications
article

A generalized QUCESOP method for amide and NOE quantification in rat brain tumor

Jia‐Hong Gao, Fan Yang, Xiaolei Song, Yi Wang
article en

Abstract

Motivation: Current CEST quantification methods only calculated the fractional concentration fb and the exchange rate kb for each solute pool, but consider R2b as a constant. Goal(s): To quantify the change of b, kb and R2b corresponding to the amide and NOE pool in brain tumor imaging of rats. Approach: Partial Z-spectra around the target frequency offsets were acquired using several saturation amplitudes, and the QUCESOP method was employed to fit the parameters of the amide solute and the “NOE solute” respectively. Results: Tumor exhibited higher R2b and lower fb for “NOE solute”, with a slightly-elevated amide pool size, compared with the normal tissue. Impact: Tumor displayed an increase of R2b and a decrease of fb for the “NOE solute”, that originated from the aliphatic protons on the macromolecular pool. The larger R2b may reflect the increased cell density in the tumor region.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 84%
Mass Spectrometry Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A generalized QUCESOP method for amide and NOE quantification in rat brain tumor — Jia‐Hong Gao, Fan Yang, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS