Evidence map›Paper›PMID 40545605›Full record

ArticleNMR in biomedicine2025

Double-Step R1rho-Based Lorentzian Fitting (DROF): A New CEST Analysis Approach and Its Comparison With Existing Methods.

Huabin Zhang, Shihao Zeng, Jiawen Wang, Pei Cai, Ziyan Wang, Lin Chen, Bensheng Qiu, Jianpan Huang

Abstract readComparative Study
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Limited Contribution of TMolecular imaging and biology · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Huabin ZhangMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Shihao ZengDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Jiawen WangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Pei CaiDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Ziyan WangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Lin ChenDepartment of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China.
Bensheng QiuMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Jianpan HuangDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-4453-8764

Funding

National Natural Science Foundation of China 32427801National Natural Science Foundation of China 82402225The University of Hong Kong 109000487The University of Hong Kong 200000341The University of Hong Kong 204610401The University of Hong Kong 204610519The University of Hong Kong 2409100331
6 · The paper itself

Abstract

At 3-T MRI, reliable quantification of CEST contrast is challenged by peak overlap and broad background contamination. Because of this limitation, some previous studies employ four-pool Lorentzian fitting (i.e., amide, direct water saturation, magnetization transfer, and relayed nuclear Overhauser enhancement) for CEST analysis at 3 T, where the multiple CEST contrasts at positive frequency offsets are treated as a single pool. In addition, for fitting-based methods, the fitting accuracy can be readily affected by initial values and boundary conditions. To address these problems, a new CEST analysis approach, named double-step R1rho-based Lorentzian fitting (DROF), with initial value randomization, was developed in this study for extracting five-pool (additional CEST@2 ppm pool) Lorentzian fitting parameters at 3 T. Moreover, a comprehensive evaluation framework including three metrics was proposed to assess the performance of CEST analysis methods. The accuracy and robustness of DROF were evaluated using both simulation and in vivo human data at 3 T, and its performance was compared with existing methods. Results demonstrate that DROF offers improved specificity and stability, suggesting its potential to enhance CEST applicability at 3 T.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance ImagingAgedBrainComputer SimulationFemaleHumansMalePhantoms, ImagingSensitivity and Specificitychemical exchange saturation transfer (CEST)double‐step R1rho‐based Lorentzian fitting (DROF)evaluation metricshuman braininitial value randomization

Identifiers

PMID40545605
PMCPMC12183353

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.