Evidence map›Paper›PMID 38294179›Full record

ArticleJournal of magnetic resonance imaging : JMRI2024

Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic Therapy.

Benjamin C Musall, David E Rauch, Rania M M Mohamed, Bikash Panthi, Medine Boge, Rosalind P Candelaria, Huiqin Chen, Mary S Guirguis, Kelly K Hunt, Lei Huo and 19 more

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

Article in Journal of magnetic resonance imaging : JMRI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. A novel diffusion tensor based three-dimensional constitutive model for human breast tissue.Journal of the mechanical behavior of biomedical materials · 2025
    Article
  2. Article
  3. 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

29 authors at 1 institution in 1 country.

Benjamin C MusallDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-1896-1446
David E RauchDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Rania M M MohamedDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Bikash PanthiDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Medine BogeDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Rosalind P CandelariaDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Huiqin ChenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mary S GuirguisDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kelly K HuntDepartment of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Lei HuoDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ken-Pin HwangDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Anil KorkutDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jennifer K LittonDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Tanya W MoseleyDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sanaz PashapoorDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Miral M PatelDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Brandy J ReedDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Marion E ScogginsDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-4822-9512
Jong Bum SonDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0003-2548-5895
Debu TripathyDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Vicente ValeroDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Peng WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jason B WhiteDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Gary J WhitmanDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Zhan XuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-5892-0227
Wei T YangDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Clinton YamDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Beatriz E AdradaDepartment of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jingfei MaDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672NIH/NCI Cancer Center Support Grant 3P30CA016672-25S1
6 · The paper itself

Abstract

backgroundAssessment of treatment response in triple-negative breast cancer (TNBC) may guide individualized care for improved patient outcomes. Diffusion tensor imaging (DTI) measures tissue anisotropy and could be useful for characterizing changes in the tumors and adjacent fibroglandular tissue (FGT) of TNBC patients undergoing neoadjuvant systemic treatment (NAST). PURPOSE: To evaluate the potential of DTI parameters for prediction of treatment response in TNBC patients undergoing NAST. STUDY TYPE: Prospective. POPULATION: Eighty-six women (average age: 51 ± 11 years) with biopsy-proven clinical stage I-III TNBC who underwent NAST followed by definitive surgery. 47% of patients (40/86) had pathologic complete response (pCR). FIELD STRENGTH/SEQUENCE: 3.0 T/reduced field of view single-shot echo-planar DTI sequence. ASSESSMENT: Three MRI scans were acquired longitudinally (pre-treatment, after 2 cycles of NAST, and after 4 cycles of NAST). Eleven histogram features were extracted from DTI parameter maps of tumors, a peritumoral region (PTR), and FGT in the ipsilateral breast. DTI parameters included apparent diffusion coefficients and relative diffusion anisotropies. pCR status was determined at surgery. STATISTICAL TESTS: Longitudinal changes of DTI features were tested for discrimination of pCR using Mann-Whitney U test and area under the receiver operating characteristic curve (AUC). A P value <0.05 was considered statistically significant.

results47% of patients (40/86) had pCR. DTI parameters assessed after 2 and 4 cycles of NAST were significantly different between pCR and non-pCR patients when compared between tumors, PTRs, and FGTs. The median surface/average anisotropy of the PTR, measured after 2 and 4 cycles of NAST, increased in pCR patients and decreased in non-pCR patients (AUC: 0.78; 0.027 ± 0.043 vs. -0.017 ± 0.042 mm DATA

conclusionQuantitative DTI features from breast tumors and the peritumoral tissue may be useful for predicting the response to NAST in TNBC. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 4.

Indexed as

Diffusion Tensor ImagingNeoadjuvant TherapyTriple Negative Breast NeoplasmsAdultAgedAnisotropyBreastFemaleHumansMiddle AgedProspective StudiesReproducibility of ResultsROC CurveTreatment Outcomebreast MRIdiffusion tensor imagingperitumoral regiontreatment responsetriple‐negative breast cancer

Identifiers

PMID38294179
PMCPMC11289164
OpenAlexW4391402757

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.