Evidence map›Paper›PMID 26244152›Full record

ReviewWorld journal of clinical cases2015

How to use magnetic resonance imaging following neoadjuvant chemotherapy in locally advanced breast cancer.

Elissa R Price, Jasmine Wong, Rita Mukhtar, Nola Hylton, Laura J Esserman

Abstract readReview
In one paragraph

Review in World journal of clinical cases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. Radiology. Imaging cancer · 2024
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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

5 authors.

Elissa R PriceElissa R Price, Nola Hylton, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, United States.
Jasmine WongElissa R Price, Nola Hylton, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, United States.
Rita MukhtarElissa R Price, Nola Hylton, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, United States.
Nola HyltonElissa R Price, Nola Hylton, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, United States.
Laura J EssermanElissa R Price, Nola Hylton, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, United States.

Funding

The I SPY 2.2 TRIAL: Evolving to Imaging and Molecular Biomarker Response Directed Adaptive Sequential Treatment to Optimize Breast Cancer OutcomesP01CA210961 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nola M. Hylton-Watson · 2017 to 2026
$22.9M
NCI NIH HHS P01 CA210961
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is highly sensitive in identifying residual breast cancer following neoadjuvant chemotherapy (NAC), and consequently is a commonly used imaging modality in locally advanced breast cancer patients. In these patients, tumor response is an important prognostic indicator. However, discrepancies between MRI findings and surgical pathology are well documented. Overestimation of residual disease by MRI may result in greater surgery than is actually required while underestimation may result in insufficient surgery. Thus, it is important to understand when MRI findings are reliable and when they are less accurate. MRI most accurately predicts pathology in triple negative, Her2 positive and hormone receptor negative tumors, especially if they are of a solid imaging phenotype. In these cases, post-NAC MRI is highly reliable for surgical planning. Hormone receptor positive cancers and those demonstrating non mass enhancement show lower concordance with surgical pathology, making surgical guidance more nebulous in these cases. Radiologists and surgeons must assess MRI response to NAC in the context of tumor subtype. Indiscriminate interpretations will prevent MRI from achieving its maximum potential in the pre-operative setting.

Indexed as

BiomarkersBreastMagnetic resonance imagingNeoadjuvant chemotherapyPhenotypes

Identifiers

PMID26244152
PMCPMC4517335

What OpenQuestion holds

Textmetadata
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.