Evidence map›Paper›PMID 38259203›Full record

ArticleRadiology2024

Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk.

Dooman Arefan, Margarita L Zuley, Wendie A Berg, Lu Yang, Jules H Sumkin, Shandong Wu

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  10. Article
  11. Review
  12. Review
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

6 authors at 1 institution in 2 countries.

Dooman ArefanFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.ORCID 0000-0001-9679-0438
Margarita L ZuleyFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.ORCID 0000-0003-2127-8346
Wendie A BergFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.ORCID 0000-0002-8792-6185
Lu YangFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.ORCID 0000-0001-6223-8995
Jules H SumkinFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.
Shandong WuFrom the Department of Radiology, University of Pittsburgh School of Medicine, 3240 Craft Pl, Room 322, Pittsburgh, PA 15213 (D.A., M.L.Z., W.A.B., L.Y., J.H.S., S.W.); Department of Radiology, Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213 (M.L.Z., W.A.B., J.H.S.); Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China (L.Y.); and Department of Biomedical Informatics (S.W.), Department of Bioengineering (S.W.), and Intelligent Systems Program (S.W.), University of Pittsburgh, Pittsburgh, Pa.ORCID 0000-0002-0770-2203
University of Pittsburgh · US

Funding

Quantitative assessment of breast MRIs for breast cancer risk predictionR01CA193603 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WU, SHANDONG · 2015 to 2018
$1.7M
SCH: Leverage clinical knowledge to augment deep learning analysis of breast imagesR01EB032896 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WU, SHANDONG · 2021 to 2024
$1.4M
Deep interpretation of mammographic images in breast cancer screeningR01CA218405 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WU, SHANDONG · 2018 to 2021
$1.4M
NCI NIH HHS R01 CA193603NCI NIH HHS R01 CA218405NIBIB NIH HHS R01 EB032896
6 · The paper itself

Abstract

Background Background parenchymal enhancement (BPE) at dynamic contrast-enhanced (DCE) MRI of cancer-free breasts increases the risk of developing breast cancer; implications of quantitative BPE in ipsilateral breasts with breast cancer are largely unexplored. Purpose To determine whether quantitative BPE measurements in one or both breasts could be used to predict recurrence risk in women with breast cancer, using the Oncotype DX recurrence score as the reference standard. Materials and Methods This HIPAA-compliant retrospective single-institution study included women diagnosed with breast cancer between January 2007 and January 2012 (development set) and between January 2012 and January 2017 (internal test set). Quantitative BPE was automatically computed using an in-house-developed computer algorithm in both breasts. Univariable logistic regression was used to examine the association of BPE with Oncotype DX recurrence score binarized into high-risk (recurrence score >25) and low- or intermediate-risk (recurrence score ≤25) categories. Models including BPE measures were assessed for their ability to distinguish patients with high risk versus those with low or intermediate risk and the actual recurrence outcome. Results The development set included 127 women (mean age, 58 years ± 10.2 [SD]; 33 with high risk and 94 with low or intermediate risk) with an actual local or distant recurrence rate of 15.7% (20 of 127) at a minimum 10 years of follow-up. The test set included 60 women (mean age, 57.8 years ± 11.6; 16 with high risk and 44 with low or intermediate risk). BPE measurements quantified in both breasts were associated with increased odds of a high-risk Oncotype DX recurrence score (odds ratio range, 1.27-1.66 [95% CI: 1.02, 2.56];

Indexed as

Breast NeoplasmsBreastFemaleHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID38259203
PMCPMC10831474
OpenAlexW4391135359

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.