Evidence map›Paper›PMID 39130198›Full record

ArticleArXiv2024

Comprehensive characterization of tumor therapeutic response with simultaneous mapping cell size, density, and transcytolemmal water exchange.

Diwei Shi, Sisi Li, Fan Liu, Xiaoyu Jiang, Lei Wu, Li Chen, Quanshui Zheng, Haihua Bao, Hua Guo, Junzhong Xu

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Diwei ShiCenter for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Sisi LiCenter for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Fan LiuCenter for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Xiaoyu JiangInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Lei WuQinghai University Affiliated Hospital, Qinghai, Xining 810000, China.
Li ChenCenter for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Quanshui ZhengCenter for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Haihua BaoQinghai University Affiliated Hospital, Qinghai, Xining 810000, China.
Hua GuoCenter for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
Junzhong XuInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.

Funding

MRI Diffusion in Tumors Using Oscillating GradientsR01CA109106 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2006 to 2022
$4.0M
MRI of tumor-infiltrating lymphocytes using MRI-cytometryR01CA269620 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2022 to 2025
$2.3M
in vivo MR characterization of pathological changes in liver microstructuresR01DK135950 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiaoyu Jiang · 2024 to 2026
$1.2M
Differentiation of tumor progression from radiation necrosis using MR cell size imagingR21CA270731 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2023 to 2024
$440k
NCI NIH HHS R01 CA109106NCI NIH HHS R01 CA269620NCI NIH HHS R21 CA270731NIDDK NIH HHS R01 DK135950
6 · The paper itself

Abstract

Early assessment of tumor therapeutic response is an important topic in precision medicine to optimize personalized treatment regimens and reduce unnecessary toxicity, cost, and delay. Although diffusion MRI (dMRI) has shown potential to address this need, its predictive accuracy is limited, likely due to its unspecific sensitivity to overall pathological changes. In this work, we propose a new quantitative dMRI-based method dubbed EXCHANGE (MRI of water Exchange, Confined and Hindered diffusion under Arbitrary Gradient waveform Encodings) for simultaneous mapping of cell size, cell density, and transcytolemmal water exchange. Such rich microstructural information comprehensively evaluates tumor pathologies at the cellular level. Validations using numerical simulations and in vitro cell experiments confirmed that the EXCHANGE method can accurately estimate mean cell size, density, and water exchange rate constants. The results from in vivo animal experiments show the potential of EXCHANGE for monitoring tumor treatment response. Finally, the EXCHANGE method was implemented in breast cancer patients with neoadjuvant chemotherapy, demonstrating its feasibility in assessing tumor therapeutic response in clinics. In summary, a new, quantitative dMRI-based EXCHANGE method was proposed to comprehensively characterize tumor microstructural properties at the cellular level, suggesting a unique means to monitor tumor treatment response in clinical practice.

Indexed as

arbitrary gradient waveformdiffusion MRImicrostructural imagingtime-dependent diffusiontumor responsewater exchange

Identifiers

PMID39130198
PMCPMC11312621

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.