Evidence map›Paper›PMID 40819343›Full record

ArticleBreast cancer research and treatment2025

High-resolution microCT to assess breast microcalcification morphometry by histologic lesion subtype and radiologic classification.

Sarah Schrup, Santo Maimone, Michael Villalba, Robert A Vierkant, Stacey J Winham, Bryan McCauley, Matthew R Jensen, Tanya Hoskin, Lisa Seymour, Denice Gehling and 8 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Sarah SchrupMayo Clinic Graduate School of Biomedical Sciences, 200 1st St SW, Rochester, MN, 55902, USA. schrup.sarah@mayo.edu.ORCID http://orcid.org/0000-0001-6165-7004
Santo MaimoneDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-3115-0090
Michael VillalbaDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-1815-656X
Robert A VierkantQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-6242-5221
Stacey J WinhamQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-8492-9102
Bryan McCauleyQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Matthew R JensenQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Tanya HoskinQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-7429-7674
Lisa SeymourDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Denice GehlingDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Jessica FischerDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Kush LohaniDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.
Celine M VachonQuantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Derek C RadiskyDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-1962-8784
Laura Pacheco-SpannQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-6531-8840
Ruby EthridgeQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Amy C DegnimDepartment of Surgery, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-2303-4946
Mark E ShermanQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0003-0738-4185

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Predicting Breast Cancer Risk after Benign Percutaneous BiopsyR01CA229811 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, SHERMAN, MARK E · 2018 to 2022
$3.5M
Involution-based biomarkers of breast cancer riskR01CA237602 · NCI · MAYO CLINIC JACKSONVILLE · PI DEGNIM, AMY C, RADISKY, DEREK C · 2020 to 2024
$2.8M
NCATS NIH HHS UL1 TR002377NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA229811NCI NIH HHS R01 CA237602
6 · The paper itself

Abstract

purposeTo assess associations of 3D morphometry of breast calcifications, determined using high-resolution microCT, with underlying histopathology and evaluate the potential for classifying tissue calcifications as an aid in optimizing identification and diagnosis of the most severe pathology in a biopsy.

methodsWe compared morphometry of calcifications in tissue blocks (n = 156) of benign breast disease (n = 74), ductal carcinoma in situ (n = 39), and ductal carcinoma in situ with invasive breast cancer (n = 43) using (10 µm) microCT. Matched sections were reviewed microscopically to define lesion(s) in which calcifications were embedded. 3D reconstructions of calcifications were reviewed independently by two masked radiologists to assess the need for biopsy and calcification morphology. Calcification morphometry was compared to pathologic diagnosis using linear mixed models.

resultsA total of 12,216 calcifications (IQR 9-66 per specimen) were analyzed. Individual breast cancer-associated calcifications were significantly larger than benign breast disease-associated calcifications (p

conclusionOur analysis provides proof-of-concept that morphometry of tissue calcifications varies by lesion type, suggesting that future studies may enable development of a pathologic classification linked to diagnosis and mammographic findings.

Indexed as

Breast DiseasesBreast NeoplasmsCalcinosisCarcinoma, Intraductal, NoninfiltratingX-Ray MicrotomographyAdultAgedBiopsyBreastFemaleHumansImaging, Three-DimensionalMammographyMiddle Aged3DBreastMammographyMicrocalcificationsMicroCTMorphology

Identifiers

PMID40819343
PMCPMC12964398

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.