Evidence map›Paper›PMID 39873851›Full record

Observational studyAnnals of surgical oncology2025

Preoperative MRI to Predict Upstaging of DCIS to Invasive Cancer at Surgery.

Sara H Javid, Anum S Kazerouni, Daniel S Hippe, Michael Hirano, Jamie Schnuck-Olapo, Debosmita Biswas, Mary Lynn Bryant, Isabella Li, Jennifer Xiao, Andrew G Kim and 6 more

Erratum issuedAbstract readObservational Study
In one paragraph

Observational study in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Sara H JavidDepartment of Surgery, University of Washington Medical Center, Seattle, WA, USA. sjavid@uw.edu.
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA, USA.
Daniel S HippeClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Michael HiranoDepartment of Radiology, University of Washington, Seattle, WA, USA.
Jamie Schnuck-OlapoDepartment of Surgery, University of Washington Medical Center, Seattle, WA, USA.
Debosmita BiswasDepartment of Radiology, University of Washington, Seattle, WA, USA.
Mary Lynn BryantDepartment of Radiology, University of Washington, Seattle, WA, USA.
Isabella LiDepartment of Radiology, University of Washington, Seattle, WA, USA.
Jennifer XiaoDepartment of Radiology, University of Washington, Seattle, WA, USA.
Andrew G KimDepartment of Radiology, University of Washington, Seattle, WA, USA.
Andy GuoDepartment of Radiology, University of Washington, Seattle, WA, USA.
Brian DontchosDepartment of Radiology, University of Washington, Seattle, WA, USA.
Mark KilgoreDepartment of Pathology, University of Washington, Seattle, WA, USA.
Janice KimDepartment of Radiation Oncology, University of Washington, Seattle, WA, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA, USA.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA, USA.

Funding

MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
Quantitative characterization of tumor heterogeneity using habitat imaging for the prediction of patient outcome in triple negative breast cancerK99CA293004 · NCI · UNIVERSITY OF WASHINGTON · PI KAZEROUNI, ANUM SYED · 2024 to 2025
$203k
NCI NIH HHS K99 CA293004NCI NIH HHS R01 CA203883NIH HHS ROI CA203883 (Rahbar )
6 · The paper itself

Abstract

backgroundDuctal carcinoma in situ (DCIS) is overtreated, in part because of inability to predict which DCIS cases diagnosed at core needle biopsy (CNB) will be upstaged at excision. This study aimed to determine whether quantitative magnetic resonance imaging (MRI) features can identify DCIS at risk of upstaging to invasive cancer.

methodsThis prospective observational clinical trial analyzed women with a diagnosis of DCIS on CNB. All the participants underwent preoperative 3T MRI. Quantitative MRI features from routine dynamic contrast-enhanced (DCE) MR images (e.g., peak percent enhancement [PE]) and from advanced high temporal-resolution DCE MR images (e.g., K

resultsOf 58 DCIS lesions at CNB, 15 (26%) were upstaged to invasive cancer at surgery. Of the 58 lesions, 46 (79%) enhanced on MRI, although enhancement alone was not significantly associated with upstaging (p = 0.71). Among the DCIS lesions that enhanced, higher PE was most strongly associated with upstaging (AUC, 0.81; adjusted p = 0.009) and outperformed MRI features acquired via high temporal resolution DCE-MRI (AUC, 0.50-0.73). Lesion span on MRI was not significantly associated with upstaging risk (AUC, 0.55; adjusted p = 0.61), nor were any clinical, pathologic, or mammographic features (p > 0.24).

conclusionsQuantitative features acquired from routine clinical breast MRI and advanced DCE-MRI demonstrated good performance in identifying which DCIS lesions were upstaged to invasive cancer at excision. These features may prove valuable for appropriate selection of active surveillance in future DCIS de-escalation trials.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingMagnetic Resonance ImagingAdultAgedBiopsy, Large-Core NeedleContrast MediaFemaleFollow-Up StudiesHumansMammographyMiddle AgedNeoplasm InvasivenessNeoplasm StagingPreoperative CareContrast Media

Identifiers

PMID39873851
PMCPMC13283781

What OpenQuestion holds

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Registered trials

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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.