Evidence map›Paper›PMID 39678499›Full record

ArticleFrontiers in oncology2024

Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting.

Brendan Moloney, Xin Li, Michael Hirano, Assim Saad Eddin, Jeong Youn Lim, Debosmita Biswas, Anum S Kazerouni, Alina Tudorica, Isabella Li, Mary Lynn Bryant and 15 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

25 authors.

Brendan MoloneyAdvanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States.
Xin LiAdvanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States.
Michael HiranoDepartment of Radiology, University of Washington, Seattle, WA, United States.
Assim Saad EddinDepartment of Radiology, University of Iowa, Iowa City, IA, United States.
Jeong Youn LimBiostatistics Shared Resource, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Debosmita BiswasDepartment of Radiology, University of Washington, Seattle, WA, United States.
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA, United States.
Alina TudoricaDepartment of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, United States.
Isabella LiDepartment of Radiology, University of Washington, Seattle, WA, United States.
Mary Lynn BryantDepartment of Radiology, University of Washington, Seattle, WA, United States.
Courtney WilleInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, United States.
Chelsea PyleDepartment of Diagnostic Radiology, Oregon Health and Science University, Portland, OR, United States.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA, United States.
Su Kim HsiehDepartment of Radiology, University of Iowa, Iowa City, IA, United States.
Travis L Rice-StittDepartment of Pathology, Oregon Health and Science University, Portland, OR, United States.
Suzanne M DintzisFred Hutchinson Cancer Center, Seattle, WA, United States.
Amani BashirHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
Evthokia HobbsHematology and Medical Oncology Division, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Alexandra ZimmerHematology and Medical Oncology Division, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, United States.
Jennifer M SpechtFred Hutchinson Cancer Center, Seattle, WA, United States.
Sneha PhadkeHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
Nicole FleegeHolden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, United States.
James H HolmesDepartment of Radiology, University of Iowa, Iowa City, IA, United States.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA, United States.
Wei HuangAdvanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
University of Iowa Institute for Clinical and Translational ScienceUM1TR004403 · NCATS · UNIVERSITY OF IOWA · PI Marlan R Hansen, Patricia Winokur · 2023 to 2026
$16.1M
Elimination of Instrumental Bias for Quantitative Diffusion Imaging in Clinical Oncology TrialsR01CA190299 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MALYARENKO, DARIYA I. · 2015 to 2025
$6.4M
Multicenter Quantitative MRI Assessment of Breast Cancer Therapy ResponseR01CA248192 · NCI · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI WEI HUANG, James H Holmes · 2021 to 2026
$2.8M
University of Iowa - Research 3T MRI Connectome UpgradeS10OD025025 · OD · UNIVERSITY OF IOWA · PI MAGNOTTA, VINCENT A · 2018 to 2018
$1.9M
A Prisma Upgrade for the OHSU Advanced Imaging Research Center 3T MRI InstrumentS10OD021701 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROONEY, WILLIAM D · 2016 to 2016
$1.6M
A High-Performance Computing System for Advanced ImagingS10OD018224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROONEY, WILLIAM D · 2014 to 2014
$222k
NCATS NIH HHS UM1 TR004403NCI NIH HHS P30 CA086862NCI NIH HHS R01 CA190299NCI NIH HHS R01 CA248192NIH HHS S10 OD018224NIH HHS S10 OD021701NIH HHS S10 OD025025
6 · The paper itself

Abstract

Quantitative dynamic contrast-enhanced (DCE) MRI as a promising method for the prediction of breast cancer response to neoadjuvant chemotherapy (NAC) has been demonstrated mostly in single-center and single-vendor platform studies. This preliminary study reports the initial experience in implementing quantitative breast DCE-MRI in multi-center (MC) and multi-vendor platform (MP) settings to predict NAC response. MRI data, including B

Indexed as

breast cancerdynamic contrast-enhanced (DCE) MRIKtransmulti-centermulti-vendor platformpharmacokineticstherapy responsewater exchange

Identifiers

PMID39678499
PMCPMC11638047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.