Evidence map›Paper›PMID 40445098›Full record

SynthesisRadiology. Imaging cancer2025

Performance of Diagnostic Breast Imaging in Symptomatic Pregnant and Lactating Patients: Systematic Review and Meta-Analysis.

Benjamin W Weber, Lu Mao, Kelley Salem, Mary Hitchcock, Abigail H Keller, Mai A Elezaby, Lonie R Salkowski, Laura M Bozzuto, Amy M Fowler

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Benjamin W WeberDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Lu MaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, Wis.ORCID 0000-0002-8626-9822
Kelley SalemDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.
Mary HitchcockEbling Library for the Health Sciences, University of Wisconsin-Madison, Madison, Wis.
Abigail H KellerDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Mai A ElezabyDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.ORCID 0000-0002-8865-6375
Lonie R SalkowskiDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.ORCID 0000-0002-0384-0297
Laura M BozzutoDepartment of Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Amy M FowlerDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.ORCID 0000-0002-1172-1618

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NCATS NIH HHS UL1 TR002373NCI NIH HHS P30 CA014520
6 · The paper itself

Abstract

Purpose To perform a systematic review of the literature and meta-analysis to summarize the diagnostic performance of breast imaging modalities for cancer detection in pregnant and lactating patients. Materials and Methods A systematic review of the literature in PubMed, Scopus, Web of Science, and Cochrane Library databases published up until March 3, 2023, was conducted. Included studies evaluated patients of any age who underwent breast imaging during pregnancy or lactation. The primary outcome of this review was sensitivity and specificity of each imaging modality. Meta-analysis was performed using a bivariate modeling approach, and summary receiver operating characteristic (ROC) analysis was used to generate a summary area under the ROC curve (AUC). Results Twenty-five studies met the eligibility criteria and included 1681 female patients (mean age, 33 years; range, 18-49 years). For US, seven of 24 studies had complete data yielding an AUC of 0.90 (95% CI: 0.85, 0.93), a sensitivity of 81% (95% CI: 56, 94), and a specificity of 85% (95% CI: 71, 92). For mammography, three of 21 studies had complete data yielding an AUC of 0.93 (95% CI: 0.75, 0.97), a sensitivity of 72% (95% CI: 47, 88), and a specificity of 93% (95% CI: 86, 97). For MRI, two of eight studies had complete data yielding an AUC of 95% (95% CI: 59, 96), a sensitivity of 91% (95% CI: 56, 99), and a specificity of 88% (95% CI: 48, 98). Conclusion US, mammography, and breast MRI showed high diagnostic performance for detection of pregnancy-associated breast cancer in symptomatic pregnant or lactating patients.

Indexed as

Breast NeoplasmsLactationPregnancy Complications, NeoplasticAdultBreastFemaleHumansMagnetic Resonance ImagingMammographyPregnancySensitivity and SpecificityUltrasonography, MammaryBreastMammographyMeta-AnalysisMR-Dynamic Contrast EnhancedOncologyPregnancyUltrasound

Identifiers

PMID40445098
PMCPMC12130698

What OpenQuestion holds

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Read underepoch 390

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.