Evidence map›Paper›PMID 36359419›Full record

ArticleDiagnostics (Basel, Switzerland)2022

The Frequency and Causes of Not-Detected Breast Malignancy in Dynamic Contrast-Enhanced MRI.

Donghun Song, Bong Joo Kang, Sung Hun Kim, Jeongmin Lee, Ga Eun Park

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Contrast-Enhanced Chest Computed Tomography forDiagnostics (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
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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

5 authors.

Donghun SongDepartment of Radiology, College of Medicine, Bucheon Saint Mary's Hospital, The Catholic University of Korea, Bucheon-si 14647, Korea.
Bong Joo KangDepartment of Radiology, College of Medicine, Seoul Saint Mary's Hospital, The Catholic University of Korea, Seoul 06591, Korea.
Sung Hun KimDepartment of Radiology, College of Medicine, Seoul Saint Mary's Hospital, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0003-4478-9720
Jeongmin LeeDepartment of Radiology, College of Medicine, Seoul Saint Mary's Hospital, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0002-4266-7984
Ga Eun ParkDepartment of Radiology, College of Medicine, Seoul Saint Mary's Hospital, The Catholic University of Korea, Seoul 06591, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast MR is the most sensitive imaging modality, but there are cases of malignant tumors that are not detected in MR. This study evaluated the frequency and main causes of malignant breast lesions not detected in dynamic contrast-enhanced (DCE) MR. A total of 1707 cases of preoperative breast MR performed between 2020 and 2021 were included. Three radiologists individually reviewed the DCE MRs and found not-detected malignancy cases in the MRs. The final cases were decided through consensus. For the selected cases, images other than DCE MRIs, such as mammography, ultrasounds, diffusion-weighted MRs, and, if possible, contrast-enhanced chest CTs, were analyzed. In the final sample, 12 cases were not detected in DCE MR, and the frequency was 0.7% (12/1707). Six cases were not detected due to known non-enhancing histologic features. In four cases, tumors were located in the breast periphery and showed no enhancement in MR. In the remaining two cases, malignant lesions were not identified due to underlying marked levels of BPE. The frequency of not-detected malignancy in DCE MR is rare. Knowing the causes of each case and correlating it with other imaging modalities could be helpful in the diagnosis of breast malignancy in DCE MR.

Indexed as

breast cancerbreast MRdynamic contrast-enhanced MRI

Identifiers

PMID36359419
PMCPMC9689718

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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.