Evidence map›Paper›PMID 37946201›Full record

ArticleBreast cancer research : BCR2023

Multimodal prediction of neoadjuvant treatment outcome by serial FDG PET and MRI in women with locally advanced breast cancer.

Anum S Kazerouni, Lanell M Peterson, Isaac Jenkins, Alena Novakova-Jiresova, Hannah M Linden, Julie R Gralow, David M Hockenbery, David A Mankoff, Peggy L Porter, Savannah C Partridge and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  8. Using [Cancers · 2025
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  10. Distinguishing benign from malignant lesions with high [European journal of nuclear medicine and molecular imaging · 2025
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  14. Repeated dynamic [European journal of nuclear medicine and molecular imaging · 2024
    Observational
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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

11 authors at 5 institutions in 2 countries.

Anum S KazerouniDepartment of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lanell M PetersonDivision of Hematology and Oncology, University of Washington/Fred Hutchinson Cancer Center, 1144 Eastlake (Mail Stop LG-500), Seattle, WA, 98109-1023, USA.
Isaac JenkinsFred Hutchinson Cancer Consortium, Seattle, WA, USA.
Alena Novakova-JiresovaCharles University and Thomayer University Hospital, Prague, Czech Republic.
Hannah M LindenDivision of Hematology and Oncology, University of Washington/Fred Hutchinson Cancer Center, 1144 Eastlake (Mail Stop LG-500), Seattle, WA, 98109-1023, USA.
Julie R GralowAmerican Society of Clinical Oncology, Alexandria, VA, USA.
David M HockenberyFred Hutchinson Cancer Consortium, Seattle, WA, USA.
David A MankoffDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Peggy L PorterFred Hutchinson Cancer Consortium, Seattle, WA, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jennifer M SpechtDivision of Hematology and Oncology, University of Washington/Fred Hutchinson Cancer Center, 1144 Eastlake (Mail Stop LG-500), Seattle, WA, 98109-1023, USA. jspecht@uw.edu.
Fred Hutch Cancer Center · USUniversity of Washington · USAmerican Society of Clinical Oncology · USCharles University · CZUniversity of Pennsylvania · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
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
NCI NIH HHS P30 CA015704NCI NIH HHS P50 CA138293NCI NIH HHS R01 CA248192
6 · The paper itself

Abstract

purposeTo investigate combined MRI and

methodsPatients undergoing neoadjuvant chemotherapy (NAC) for locally-advanced breast cancer were imaged at three timepoints (pre, mid, and post-NAC), prior to surgery. Imaging included diffusion-weighted and dynamic contrast-enhanced (DCE-) MRI and quantitative

resultsThirty-five patients with stage II/III invasive breast cancer were enrolled in the prospective study (median age: 43, range: 31-66 years, RCB 0/I: N = 11/35, 31%). Baseline imaging metrics were not significantly associated with pathologic response or RFS (p > 0.05). Greater mid-treatment decreases in peak PE, along with greater post-treatment decreases in several DCE-MRI and

conclusionMid-treatment changes in both PET and MRI measures were predictive of RCB status and RFS following NAC. Specifically, our results indicate a complementary relationship between DCE-MRI and

Indexed as

Breast NeoplasmsAdultFemaleFluorodeoxyglucose F18HumansMagnetic Resonance ImagingNeoadjuvant TherapyPositron-Emission TomographyProspective StudiesRadiopharmaceuticalsTreatment OutcomeFluorodeoxyglucose F18RadiopharmaceuticalsChemotherapy responseDiffusion weighted MRIDynamic 18F-FDG PETDynamic contrast enhanced MRIRecurrence

Identifiers

PMID37946201
PMCPMC10636950
OpenAlexW4388540573

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.