Evidence map›Paper›PMID 36831368›Full record

ArticleCancers2023

Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.

Bikash Panthi, Beatriz E Adrada, Rosalind P Candelaria, Mary S Guirguis, Clinton Yam, Medine Boge, Huiqin Chen, Kelly K Hunt, Lei Huo, Ken-Pin Hwang and 21 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 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
5.3field-weighted citation impact, top 4% 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, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Monitoring Pharmacological Treatment of Breast Cancer with MRI.Current issues in molecular biology · 2025
    Review
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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

31 authors at 3 institutions in 1 country.

Bikash PanthiDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Beatriz E AdradaDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Rosalind P CandelariaDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Mary S GuirguisDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-5874-8861
Clinton YamDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Medine BogeDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Huiqin ChenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kelly K HuntDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lei HuoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Ken-Pin HwangDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8196-3794
Anil KorkutDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Deanna L LaneDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Huong C Le-PetrossDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jessica W T LeungDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jennifer K LittonDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Rania M MohamedDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-6487-3965
Benjamin C MusallDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sanaz PashapoorDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Miral M PatelDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Frances PerezDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jong Bum SonDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Alastair ThompsonDepartment of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
Vicente ValeroDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Peng WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-7758-6116
Jason WhiteDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Zhan XuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5892-0227
Lawrence PinskyDepartment of Physics, University of Houston, Houston, TX 77030, USA.
Debu TripathyDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-5711-2404
Wei YangDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jingfei MaDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Gaiane M RauchDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USUniversity of Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672
6 · The paper itself

Abstract

Early assessment of neoadjuvant systemic therapy (NAST) response for triple-negative breast cancer (TNBC) is critical for patient care in order to avoid the unnecessary toxicity of an ineffective treatment. We assessed functional tumor volumes (FTVs) from dynamic contrast-enhanced (DCE) MRI after 2 cycles (C2) and 4 cycles (C4) of NAST as predictors of response in TNBC. A group of 100 patients with stage I-III TNBC who underwent DCE MRI at baseline, C2, and C4 were included in this study. Tumors were segmented on DCE images of 1 min and 2.5 min post-injection. FTVs were measured using the optimized percentage enhancement (PE) and signal enhancement ratio (SER) thresholds. The Mann-Whitney test was used to compare the performance of the FTVs at C2 and C4. Of the 100 patients, 49 (49%) had a pathologic complete response (pCR) and 51 (51%) had a non-pCR. The maximum area under the receiving operating characteristic curve (AUC) for predicting the treatment response was 0.84 (

Indexed as

breast MRIfunctional tumor volumeneoadjuvant systemic therapyresponse predictiontriple-negative breast cancer

Identifiers

PMID36831368
PMCPMC9953797
OpenAlexW4319298455

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.