Evidence map›Paper›PMID 32075017›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Breast Cancer Detection-A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging.

Brian M Moloney, Declan O'Loughlin, Sami Abd Elwahab, Michael J Kerin

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 84 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

4 authors at 1 institution in 1 country.

Brian M MoloneyDepartment of Diagnostic Radiology, Galway University Hospitals, Galway H91 YR71, Ireland.ORCID 0000-0003-3179-6657
Declan O'LoughlinElectrical and Electronic Engineering, National University of Ireland Galway, Galway H91 CF50, Ireland.
Sami Abd ElwahabDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway H91 YR71, Ireland.
Michael J KerinDiscipline of Surgery, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway H91 YR71, Ireland.
Ollscoil na Gaillimhe – University of Galway · IE

Funding

National Breast Cancer Research Institute (NBCRI) 2020
6 · The paper itself

Abstract

Global statistics have demonstrated that breast cancer is the most frequently diagnosed invasive cancer and the leading cause of cancer death among female patients. Survival following a diagnosis of breast cancer is grossly determined by the stage of the disease at the time of initial diagnosis, highlighting the importance of early detection. Improving early diagnosis will require a multi-faceted approach to optimizing the use of currently available imaging modalities and investigating new methods of detection. The application of microwave technologies in medical diagnostics is an emerging field of research, with breast cancer detection seeing the most significant progress in the last twenty years. In this review, the application of current conventional imaging modalities is discussed, and recurrent shortcomings highlighted. Microwave imaging is rapid and inexpensive. If the preliminary results of its diagnostic capacity are substantiated, microwave technology may offer a non-ionizing, non-invasive, and painless adjunct or stand-alone modality that could possibly be implemented in routine diagnostic breast care.

Indexed as

breast cancerbreast imagingmicrowave breast imagingmultimodal imaging

Identifiers

PMID32075017
PMCPMC7168907
OpenAlexW3006215136

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.