Evidence map›Paper›PMID 32782599›Full record

ArticleOncology letters2020

MRI and the pathology of breast invasive micropapillary carcinoma.

Chun-Hong Han, Wei-Gen Yao, Jie He, Zhi-Bin Gao, Hong-Jie Hu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. A rare case of invasive micropapillary carcinoma of the breast.Przeglad menopauzalny = Menopause review · 2022
    Article
  3. Review
  4. Article
  5. Article
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 at 3 institutions in 1 country.

Chun-Hong HanDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, P.R. China.
Wei-Gen YaoDepartment of Radiology, The Affiliated Yangming Hospital of Ningbo University, Yuyao People's Hospital, Yuyao, Zhejiang 315400, P.R. China.
Jie HeDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, P.R. China.
Zhi-Bin GaoDepartment of Pathology, The Affiliated Yangming Hospital of Ningbo University, Yuyao People's Hospital, Yuyao, Zhejiang 315400, P.R. China.
Hong-Jie HuDepartment of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, P.R. China.
Ningbo University · CNSir Run Run Shaw Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of breast invasive micropapillary carcinoma (IMPC) before surgery is of great value for determining the optimal treatment strategy. The aim of the present study was to investigate the magnetic resonance imaging (MRI) and pathological features of IMPC. MRI features of IMPC were characterized in relation to the patients' clinicopathological features. Clinical manifestations, mammography results and/or MRI findings of patients with IMPC were retrospectively analyzed. Parameters included morphology, plain T2-weighted imaging (T2WI) signal intensity, the apparent diffusion coefficient (ADC), the internal enhancement mode, early enhancement rates and time-intensity curve (TIC) types during dynamic enhanced scanning. A total of 10 lesions were detected by MRI in eight patients, with one case having three lesions with the mean diameter of 34.44 mm. In plain T2WI scanning, the lesions appeared inhomogeneous with a moderate or high signal intensity. When the b value was 800 sec/mm

Indexed as

breast tumorIMPCMRI

Identifiers

PMID32782599
PMCPMC7399881
OpenAlexW3041235391

What OpenQuestion holds

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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.