Evidence map›Paper›PMID 32563178›Full record

ArticleBreast (Edinburgh, Scotland)2020

Mammographic density changes during neoadjuvant breast cancer treatment: NeoDense, a prospective study in Sweden.

Ida Skarping, Daniel Förnvik, Uffe Heide-Jørgensen, Hanna Sartor, Per Hall, Sophia Zackrisson, Signe Borgquist

Open access · goldAbstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Ida SkarpingDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund, Sweden. Electronic address: ida.skarping@med.lu.se.
Daniel FörnvikMedical Radiation Physics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden. Electronic address: daniel.fornvik@med.lu.se.
Uffe Heide-JørgensenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark. Electronic address: uhj@clin.au.dk.
Hanna SartorDiagnostic Radiology, Department of Translational Medicine, Lund University, Skåne University Hospital, Lund and Malmö, Sweden. Electronic address: hanna.sartor@med.lu.se.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Sweden. Electronic address: per.hall@ki.se.
Sophia ZackrissonDiagnostic Radiology, Department of Translational Medicine, Lund University, Skåne University Hospital, Lund and Malmö, Sweden. Electronic address: sophia.zackrisson@med.lu.se.
Signe BorgquistDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund, Sweden; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark. Electronic address: signe.borgquist@auh.rm.dk.
Lund University · SEAarhus University Hospital · DKKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess if mammographic density (MD) changes during neoadjuvant breast cancer treatment and is predictive of a pathological complete response (pCR).

methodsWe prospectively included 200 breast cancer patients assigned to neoadjuvant chemotherapy (NACT) in the NeoDense study (2014-2019). Raw data mammograms were used to assess MD with a fully automated volumetric method and radiologists categorized MD using the Breast Imaging-Reporting and Data System (BI-RADS), 5th Edition. Logistic regression was used to calculate odds ratios (OR) for pCR comparing BI-RADS categories c vs. a, b, and d as well as with a 0.5% change in percent dense volume adjusting for baseline characteristics.

resultsThe overall median age was 53.1 years, and 48% of study participants were premenopausal pre-NACT. A total of 23% (N = 45) of the patients accomplished pCR following NACT. Patients with very dense breasts (BI-RADS d) were more likely to have a positive axillary lymph node status at diagnosis: 89% of the patients with very dense breasts compared to 72% in the entire cohort. A total of 74% of patients decreased their absolute dense volume during NACT. The likelihood of accomplishing pCR following NACT was independent of volumetric MD at diagnosis and change in volumetric MD during treatment. No trend was observed between decreasing density according to BI-RADS and the likelihood of accomplishing pCR following NACT.

conclusionsThe majority of patients decreased their MD during NACT. We found no evidence of MD as a predictive marker of pCR in the neoadjuvant setting.

Indexed as

Breast DensityAdultBiomarkersBreastBreast NeoplasmsFemaleHumansImage Processing, Computer-AssistedMammographyMiddle AgedNeoadjuvant TherapyPredictive Value of TestsProspective StudiesRandomized Controlled Trials as TopicSwedenTreatment OutcomeBiomarkersBreast cancerBreast densityMammographyNeoadjuvant therapy

Identifiers

PMID32563178
PMCPMC7375568
OpenAlexW3034094929

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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.