Evidence map›Paper›PMID 37892053›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Breast Imaging Physics in Mammography (Part I).

Noemi Fico, Graziella Di Grezia, Vincenzo Cuccurullo, Antonio Alessandro Helliot Salvia, Aniello Iacomino, Antonella Sciarra, Gianluca Gatta

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Noemi FicoDepartment of Physics Ettore Pancini, Università di Napoli Federico II, 80126 Naples, Italy.ORCID 0000-0001-6856-3916
Graziella Di GreziaRadiology Division, ASL Avellino, 83100 Avellino, Italy.ORCID 0000-0003-4507-3505
Vincenzo CuccurulloNuclear Medicine Unit, Department of Precision Medicine, Università della Campania Luigi Vanvitelli, 81100 Napoli, Italy.ORCID 0000-0003-0474-7163
Antonio Alessandro Helliot SalviaDepartment of Precision Medicine, Università della Campania Luigi Vanvitelli, 81100 Napoli, Italy.
Aniello IacominoDepartment of Human Science, Guglielmo Marconi University, 00193 Rome, Italy.
Antonella SciarraDepartment of Experimental Medicine, University of Campania Luigi Vanvitelli, 80138 Napoli, Italy.
Gianluca GattaDepartment of Precision Medicine, Università della Campania Luigi Vanvitelli, 81100 Napoli, Italy.ORCID 0000-0003-0874-8294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most frequently diagnosed neoplasm in women in Italy. There are several risk factors, but thanks to screening and increased awareness, most breast cancers are diagnosed at an early stage when surgical treatment can most often be conservative and the adopted therapy is more effective. Regular screening is essential but advanced technology is needed to achieve quality diagnoses. Mammography is the gold standard for early detection of breast cancer. It is a specialized technique for detecting breast cancer and, thus, distinguishing normal tissue from cancerous breast tissue. Mammography techniques are based on physical principles: through the proper use of X-rays, the structures of different tissues can be observed. This first part of the paper attempts to explain the physical principles used in mammography. In particular, we will see how a mammogram is composed and what physical principles are used to obtain diagnostic images.

Indexed as

breast cancerbreast imagingmammographymedical physics

Identifiers

PMID37892053
PMCPMC10606465

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.