Evidence map›Paper›PMID 37133209›Full record

ArticleKorean journal of radiology2023

Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer.

Jee Hyun Ahn, Jieon Go, Suk Jun Lee, Jee Ye Kim, Hyung Seok Park, Seung Il Kim, Byeong-Woo Park, Vivian Youngjean Park, Jung Hyun Yoon, Min Jung Kim and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology, 2023. 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
1.2field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

11 authors at 1 institution in 1 country.

Jee Hyun AhnDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-4176-3277
Jieon GoDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-4827-0929
Suk Jun LeeDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-3839-5071
Jee Ye KimDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-3936-4410
Hyung Seok ParkDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-5322-6036
Seung Il KimDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-9673-2748
Byeong-Woo ParkDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-1353-2607
Vivian Youngjean ParkDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-5135-4058
Jung Hyun YoonDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-2100-3513
Min Jung KimDepartment of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea. mines@yuhs.ac.ORCID 0000-0003-4949-1237
Seho ParkDivision of Breast Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Korea. PSH1025@yuhs.ac.ORCID 0000-0001-8089-2755
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (ΔVbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT. MATERIALS AND

methodsA total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to ΔVbd%, calculated as follows: Vbd (post-NCT - pre-NCT)/pre-NCT Vbd × 100 (%). The stable, decreased, and increased groups were defined as -20% ≤ ΔVbd% ≤ 20%, ΔVbd% < -20%, and ΔVbd% > 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between ΔVbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses.

resultsThe interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, ΔVbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195-0.905;

conclusionΔVbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of ΔVbd% may help predict the NCT response and prognosis in breast cancer.

Indexed as

Breast NeoplasmsBreastBreast DensityFemaleHumansMammographyNeoadjuvant TherapyRetrospective StudiesBiomarkersBreast densityBreast neoplasmMammographyNeoadjuvant therapyPredictive value of tests

Identifiers

PMID37133209
PMCPMC10157320
OpenAlexW4366493144

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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.