Evidence map›Paper›PMID 33376395›Full record

ArticleCancer management and research2020

Metastasis of Ovarian Cancer to Breast: A Case Report and Review of Imaging Manifestations.

Jing Wang, Baohua Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 78% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 1 institution in 1 country.

Jing WangDepartment of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, People's Republic of China.ORCID 0000-0002-9043-2258
Baohua WangDepartment of Ultrasound, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, People's Republic of China.
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis of ovarian cancer to breast (MOCB) is rare, and the diagnosis is difficult due to the varied imaging manifestations. The objective of this paper is to report a special case of MOCB, review the imaging manifestations of MOCB and attempt to determine the characteristic imaging features that might be helpful in making the diagnosis and providing appropriate systemic therapy. A 40-year-old woman presented with a breast lesion six years after a diagnosis of ovarian serous cystadenocarcinoma. Ultrasound (US) and magnetic resonance imaging (MRI) examinations were performed; the final diagnosis was metastasis of ovarian serous cystadenocarcinoma to breast according to the histological examination and immunohistochemical examination after lumpectomy. Herein, we reviewed 41 cases diagnosed with MOCB, which include imaging of the metastatic breast lesion or a detailed description without imaging. In this review, we summarized that MOCB could present with calcifications (especially microcalcifications) on mammography (MM). MOCB presenting as inflammatory breast cancer usually shows swelling and skin thickening on MM and US, and increased fludeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT). These manifestations could be helpful in differentiating malignant tumors from benign ones, but it may still be difficult to distinguish between primary and metastatic tumors. The correct diagnosis of MOCB requires a combination of the clinical history of the primary tumor, careful clinical examination, radiology and anatomic pathological evaluation.

Indexed as

breastimagingneoplasm metastasisovarian neoplasms

Identifiers

PMID33376395
PMCPMC7755876
OpenAlexW3113311581

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.