Evidence map›Paper›PMID 31400007›Full record

Trial reportJournal of surgical oncology2019

MRI does not predict pathologic complete response after neoadjuvant chemotherapy for breast cancer.

Stephen F Sener, Rachel E Sargent, Connie Lee, Tejas Manchandia, Vivian Le-Tran, Yuliya Olimpiadi, Nicole Zaremba, Andrew Alabd, Maria Nelson, Julie E Lang

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Journal of surgical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Stephen F SenerLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.ORCID http://orcid.org/0000-0003-4966-1670
Rachel E SargentLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Connie LeeLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Tejas ManchandiaLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Vivian Le-TranLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Yuliya OlimpiadiLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Nicole ZarembaLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Andrew AlabdDepartment of Surgery and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.
Maria NelsonLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.
Julie E LangLos Angeles County+University of Southern California (LAC+USC) Medical Center, Los Angeles, California.ORCID http://orcid.org/0000-0002-7534-6124
University of Southern California · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundThis study assessed whether magnetic resonance imaging (MRI) could accurately predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) for patients receiving standardized treatment, pre- and post-NAC MRI on the same instrumentation using a consistent imaging protocol, interpreted by a single breast fellowship-trained radiologist.

methodsA single-institution retrospective analysis was performed including clinical, radiographic, and pathologic parameters for all patients with breast cancer treated with NAC from 2015 to 2018. Radiographic complete response (rCR) was defined as absence of suspicious MRI findings in the ipsilateral breast or lymph nodes. pCR was defined as the absence of invasive cancer or ductal carcinoma in-situ in breast or lymph nodes after operation (ypT0N0M0).

resultsData for 102 consecutive patients demonstrated that 44 (43.1%) had rCR and 41 (40.1%) had pCR. pCR occurred in 12 (25.0%) of 48 estrogen receptor positive (ER+) patients, 29 (53.7%) of 54 ER- patients, and 25 (52.1%) of 48 human epidermal growth factor receptor 2 positive patients. The positive predictive value for MRI after NAC was 84.5% and the negative predictive value was 72.7%. The accuracy rate for MRI was 78.6%. Of the 44 patients with rCR, 12 (27.3%) had residual cancer on the pathologic specimen after surgical excision.

conclusionrCR is not accurate enough to serve as a surrogate marker for pCR on MRI after NAC.

Indexed as

Neoadjuvant TherapyAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMiddle AgedPrognosisRetrospective Studiesbreast cancerMRIneoadjuvant chemotherapypathologic complete response

Identifiers

PMID31400007
PMCPMC7433761
OpenAlexW2967459985

What OpenQuestion holds

Textmetadata
LicenceTDM
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.