Evidence map›Paper›PMID 34061121›Full record

ArticleJournal of breast imaging

Accuracy of Preoperative Breast MRI Versus Conventional Imaging in Measuring Pathologic Extent of Invasive Lobular Carcinoma.

Keegan K Hovis, Janie M Lee, Daniel S Hippe, Hannah Linden, Meghan R Flanagan, Mark R Kilgore, Janis Yee, Savannah C Partridge, Habib Rahbar

Abstract read
In one paragraph

Article in Journal of breast imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Keegan K HovisUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.
Janie M LeeUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.
Daniel S HippeUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.
Hannah LindenSeattle Cancer Care Alliance, Seattle, WA, USA.
Meghan R FlanaganSeattle Cancer Care Alliance, Seattle, WA, USA.
Mark R KilgoreSeattle Cancer Care Alliance, Seattle, WA, USA.
Janis YeeUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.
Savannah C PartridgeUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.
Habib RahbarUniversity of Washington School of Medicine, Department of Radiology, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-4835-1478

Funding

Advanced PET/CT Imaging for Improving Clinical TrialsU01CA148131 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., LINDEN, HANNAH M · 2010 to 2019
$6.0M
Validation and Standardization of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker in Breast CancerR01CA207290 · NCI · UNIVERSITY OF WASHINGTON · PI PARTRIDGE, SAVANNAH CORRINA · 2017 to 2022
$2.2M
NCI NIH HHS R01 CA207290NCI NIH HHS U01 CA148131
6 · The paper itself

Abstract

objectiveTo determine whether invasive lobular carcinoma (ILC) extent is more accurately depicted with preoperative MRI (pMRI) than conventional imaging (mammography and/or ultrasound).

methodsAfter IRB approval, we retrospectively identified women with pMRIs (February 2005 to January 2014) to evaluate pure ILC excluding those with ipsilateral pMRI BI-RADS 4 or 5 findings or who had neoadjuvant chemotherapy. Agreement between imaging and pathology sizes was summarized using Bland-Altman plots, absolute and percent differences, and the intraclass correlation coefficient (ICC). Rates of underestimation and overestimation were evaluated and their associations with clinical features were explored.

resultsAmong the 56 women included, pMRI demonstrated better agreement with pathology than conventional imaging by mean absolute difference (1.6 mm versus -7.8 mm,

conclusionMRI depicts pure ILC more accurately than conventional imaging and may have particular value for younger women.

Indexed as

breast cancer stagingbreast MRIinvasive lobular carcinomamammographypathologic extent of diseaseultrasound

Identifiers

PMID34061121
PMCPMC8139612

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.