Evidence map›Paper›PMID 29857853›Full record

ArticleEuropean journal of radiology2018

MRI-based quantification of residual fibroglandular tissue of the breast after conservative mastectomies.

Ramona Woitek, Georg Pfeiler, Alex Farr, Panagiotis Kapetas, Julia Furtner, Maria Bernathova, Veronika Schöpf, Paola Clauser, Maria A Marino, Katja Pinker and 2 more

Open access · greenAbstract read
In one paragraph

Article in European journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Breast Cancer Screening After Gender-Affirming Chest Masculinization Surgery: The Overlooked Role of Mammography.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
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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

12 authors at 4 institutions in 3 countries.

Ramona WoitekDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Georg PfeilerDepartment of Obstetrics and Gynecology, Medical University of Vienna, Austria.
Alex FarrDepartment of Obstetrics and Gynecology, Medical University of Vienna, Austria.
Panagiotis KapetasDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Julia FurtnerDivision of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Maria BernathovaDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Veronika SchöpfInstitute of Psychology, University of Graz, Austria.
Paola ClauserDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Maria A MarinoDepartment of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Messina, Italy.
Katja PinkerDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, USA.
Pascal A BaltzerDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.
Thomas H HelbichDivision of Molecular and Gender Imaging, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria. Electronic address: thomas.helbich@meduniwien.ac.at.
Medical University of Vienna · ATMemorial Sloan Kettering Cancer Center · USUniversity of Graz · ATUniversity of Messina · IT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeSkin-sparing and nipple-sparing mastectomies (SSM; NSM) remove the breast's fibroglandular tissue (FGT), thereby reducing breast cancer risk. The postoperative presence of residual FGT (RFGT) is associated with remaining cancer risk. This study evaluated the role of MRI in the quantitative assessment of RFGT and its impact on the estimation of the remaining breast cancer risk.

methodsThe postoperative MRI scans (following EUSOMA recommendations) of 58 patients who had undergone SSM or NSM between 2003 and 2013, as well as preoperative MRI scans that were available in 25 of these patients, were retrospectively evaluated for the presence and location of RFGT by three radiologists. Two different observers quantitatively assessed the volume and percentage of retromamillary and other RFGT (RFGT

resultsRFGT was found in 20% of all breasts and significantly more frequently after NSM than SSM (50% vs. 13%, p = .003). RFGT

conclusionsThe prevalence and percentage of RFGT found on MRI indicate a considerable remaining postoperative breast cancer risk in some women.

Indexed as

NipplesOrgan Sparing TreatmentsProphylactic MastectomyAdultBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMiddle AgedNeoplasm Recurrence, LocalPatient SatisfactionPostoperative PeriodReproducibility of ResultsRetrospective StudiesRisk AssessmentBreast cancerImagingMagnetic resonance imagingMammary glandsMastectomy

Identifiers

PMID29857853
PMCPMC7547401
OpenAlexW2802975631

What OpenQuestion holds

Textmetadata
LicenceTDM
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.