Evidence map›Paper›PMID 38980506›Full record

ArticleBreast cancer research and treatment2024

A BRILLIANT-BRCA study: residual breast tissue after mastectomy and reconstruction.

Orit Kaidar-Person, Renata Faermann, Dor Polikar, Kfir Cohen, Rinat Bernstein-Molho, Monica Morrow, Liesbeth Jorinne Boersma, Birgitte Vrou Offersen, Philip Poortmans, Miri Sklair-Levy and 1 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

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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

11 authors.

Orit Kaidar-PersonSchool of Medicine, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel. orit.kaidarperson@sheba.health.gov.il.
Renata FaermannSchool of Medicine, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Dor PolikarDepartment of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel.
Kfir CohenDepartment of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel.
Rinat Bernstein-MolhoSchool of Medicine, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Monica MorrowBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Liesbeth Jorinne BoersmaGROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Birgitte Vrou OffersenDepartment of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark.
Philip PoortmansDepartment of Radiation Oncology, Iridium Netwerk, Wilrijk-Antwerp, Belgium.
Miri Sklair-LevySchool of Medicine, Faculty of Medical & Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Debbie AnabyDepartment of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel.

Funding

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

Abstract

introductionDifferent types of mastectomies leave different amounts of residual breast tissue. The significance of the residual breast volume (RBV) is not clear. Therefore, we developed an MRI tool that allows to easily assess the RBV. In this study we evaluated factors associated with RBV after skin or nipple sparing mastectomy (SSM/NSM) in breast cancer BRCA pathogenic variant (PV) carriers who underwent both therapeutic and risk reducing SSM/NSM and its relation to breast cancer outcomes using an innovative MRI-based tool.

methodsData of breast cancer BRCA PV who were treated between 2006 and 2020 were retrieved from of the oncogenetics unit databases. Only patients who underwent SSM/NSM and had a postoperative breast MRI available for analysis were included. Data collected included demographics, clinicopathological features, and outcomes. The MRI tool was developed by a breast cancer imaging laboratory. A logistic regression test and 95% confidence interval (CI) were used to assess the associated risk of increased RBV. A forward stepwise linear regression was used to correlate tumour-patient specific factors and RBV, and a Kaplan-Meier curve to show the probability of locoregional relapse.

resultsA total of 84 patients undergoing 89 mastectomies were included. At a median follow-up of 98 months, 5 local, 2 regional, and 4 distant recurrences were observed. RBV was not significantly related with breast cancer outcomes (p value = NS). A higher body mass index (BMI) was associated with a higher RBV (p < 0.0001). A larger number of involved axillary nodes was associated with a smaller RBV (p = 0.025). The RBV on the risk-reducing mastectomy side was significantly higher compared to the breast cancer side (p value = 0.007). Local recurrences occurred in the vicinity of the primary tumour.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingMammaplastyMastectomyAdultAgedBRCA1 ProteinBRCA2 ProteinBreastFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBreast tissueMastectomyMRINipple sparingResidual breastRisk reducing mastectomySkin sparing

Identifiers

PMID38980506
PMCPMC11455724

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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.