Evidence map›Paper›PMID 42631739›Full record

ArticleEuropean radiology2026

Quantitative dynamic contrast-enhanced magnetic resonance imaging for early assessment of treatment response in pancreatic ductal adenocarcinoma.

Martin D Holland, Ezinwanne E Onuoha, Darryl Outlaw, Mehmet Akce, Midhun Malla, Salila Hashmi, Sushanth Reddy, J Bart Rose, Desiree E Morgan, Grant R Williams and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2026. 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

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

18 authors.

Martin D Holland *Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Ezinwanne E Onuoha *Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Darryl OutlawDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Mehmet AkceDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Midhun MallaDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Salila HashmiDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Sushanth ReddyDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
J Bart RoseDepartment of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
Desiree E MorganDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Grant R WilliamsDCH Regional Medical Center, Tuscaloosa, AL, USA.
Moh'd KhushmanDepartment of Medicine, Washington University, St. Louis, MO, USA.
Dana B CardinDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Katherine Frederick-DyerDepartments of Radiology and Radiological Sciences, Vanderbilt University, Medical Center, Nashville, TN, USA.
Xiaoyu JiangDepartments of Radiology and Radiological Sciences, Vanderbilt University, Medical Center, Nashville, TN, USA.
Zarine K ShahDepartment of Radiology, The Ohio State University, Columbus, OH, USA.
Bassel El-RayesDepartment of Medicine, University of California at San Diego, San Diego, CA, USA.
Junzhong XuDepartments of Radiology and Radiological Sciences, Vanderbilt University, Medical Center, Nashville, TN, USA.
Harrison KimDepartment of Radiology, The Ohio State University, Columbus, OH, USA. Harrison.kim@osumc.edu.ORCID http://orcid.org/0000-0002-9126-1964

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
DCE-MRI guided Neoadjuvant Chemotherapy for Borderline Resectable Pancreatic CancerR01CA290435 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bassel El-Rayes, Harrison Kim · 2024 to 2026
$2.0M
ProAgio in Pancreatic CancerR01CA294647 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bassel El-Rayes, Zhi-Ren Liu · 2024 to 2026
$1.7M
Disposable Perfusion Phantom for Accurate DCE-MRI Measurement of Pancreatic Cancer Therapy ResponseUH3CA232820 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI EL-RAYES, BASSEL · 2021 to 2023
$1.4M
Disposable Perfusion Phantom for Accurate DCE-MRI Measurement of Pancreatic Cancer Therapy ResponseUG3CA232820 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIM, HARRISON · 2019 to 2020
$763k
Department of Radiology at the University of Alabama at Birmingham RRIPANCI NIH HHS P30CA068485NCI NIH HHS R01 CA290435NCI NIH HHS R01 CA294647NCI NIH HHS UG3 CA232820NCI NIH HHS UG3/UH3 CA232820NCI NIH HHS UH3 CA232820
6 · The paper itself

Abstract

objectivesTo prospectively evaluate whether quantitative DCE-MRI can predict early chemotherapy response in pancreatic ductal adenocarcinoma (PDAC), and to assess the added value of a point-of-care portable perfusion phantom (P4) for correcting scanner-dependent errors. MATERIALS AND

methodsFifty-four patients with biopsy-confirmed PDAC were prospectively enrolled at two institutions; 42 completed MRI scans at baseline (1 ± 1 weeks before chemotherapy) and 7 ± 2 weeks after treatment initiation. P4s were imaged concurrently to correct for scanner-dependent measurement errors. Eleven pharmacokinetic (PK) parameters were derived using Tofts, extended Tofts, and shutter speed models. Treatment response at 17 ± 4 weeks was assessed using the modified RECIST, with responders defined as patients with > 10% tumor size reduction. Early changes in PK parameters were analyzed using receiver operating characteristic curves to assess predictive accuracy, and differences between responders and non-responders were assessed using one-way ANOVA.

resultsAmong 42 patients (median age 67 years; 27 males), 20 were responders and 22 non-responders. Early changes in K

conclusionQuantitative DCE-MRI enables early, highly accurate prediction of chemotherapy response in PDAC, and P4-based error correction further enhances reliability. This approach offers a prospectively validated imaging biomarker that can support timely, personalized treatment decisions for patients with PDAC. KEY POINTS: QuestionCan quantitative dynamic contrast-enhanced MRI accurately identify early chemotherapy response in PDAC before conventional morphologic changes become apparent on CT? FindingsP4-corrected quantitative DCE-MRI predicted 17-week tumor response with up to 98% accuracy after only 7 weeks of chemotherapy treatment. Clinical relevanceP4-corrected quantitative DCE-MRI may enable earlier identification of ineffective chemotherapy in pancreatic cancer, supporting timely treatment modification, reducing unnecessary toxicity, and facilitating more personalized patient management.

Indexed as

Carcinoma (pancreatic ductal)Dynamic contrast enhanced magnetic resonance imagingPancreasTreatment outcome

Identifiers

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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.