Evidence map›Paper›PMID 40416096›Full record

ReviewCureus2025

Exploring the Evolution of Breast Cancer Imaging: A Review of Conventional and Emerging Modalities.

Maria Gabriela Cerdas, Jana Farhat, Sara I Elshafie, Faina Mariyam, Lina James, Arifa K Qureshi, Monica Potru, Paerhati Paliwei, Megha R Joshi, Godwin Abraham and 1 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. 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

11 authors.

Maria Gabriela CerdasMedicine, Universidad de Ciencias Médicas (UCIMED), San Jose, CRI.
Jana FarhatDiagnostic Radiology, Faculty of Medicine, Lebanese University, Beirut, LBN.
Sara I ElshafieInternal Medicine, Faculty of Medicine, University of Khartoum, Jeddah, SAU.
Faina MariyamInternal Medicine, Kasturba Medical College, Manipal, Kozhikode, IND.
Lina JamesMedicine, Perundurai Medical College, Perundurai, IND.
Arifa K QureshiObstetrics and Gynecology, Buckinghamshire Healthcare NHS Trust, Aylesbury, GBR.
Monica PotruRadiology, Dr. Rajendra Gode Medical College, Amravati, IND.
Paerhati PaliweiMedicine and Surgery, Università Cattolica del Sacro Cuore, Rome, ITA.
Megha R JoshiGastroenterology, Boston Children's Hospital, Boston, USA.
Godwin AbrahamOncology, Midland Metropolitan University Hospital, Smethwick, GBR.
Humza F SiddiquiInternal Medicine, Jinnah Postgraduate Medical Centre, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is one of the leading causes of malignancy among women, and its prevalence is exponentially rising globally. Early and accurate imaging is critical for early detection, diagnosis, and treatment planning. This comprehensive review explores the current status of BC imaging, from the conventional methods such as mammography, ultrasound (US) and magnetic resonance imaging (MRI) to more advanced techniques including contrast-enhanced imaging, tomosynthesis, and molecular breast imaging (MBI). Conventional imaging remains the foundation for screening, as mammography is the most widely preferred modality. US and MRI are usually employed in dense breasts in highly suspicious cases that are not detected on a mammogram. However, the limitations posed by these traditional techniques can be curtailed using advanced modalities to enhance diagnostic accuracy. These emerging techniques provide faster and earlier detection of malignancy, particularly in high-risk patients, and substantially reduce the burden of missed cases. Emerging technologies, including photoacoustic imaging (PAI) and contrast-enhanced ultrasound (CEUS), show promising potential in visualizing microvascular structures and enhancing diagnostic accuracy. Additionally, artificial intelligence (AI) is revolutionizing BC imaging across all modalities by optimizing interpretation, enhancing sensitivity, and enabling personalized risk assessment. Although technological innovation continues to improve imaging quality and diagnostic precision, challenges such as cost, accessibility, overdiagnosis, and disparities in care remain a concern. Moving forward, a collaborative multimodal strategy that incorporates personalized imaging protocols and equitable access will be crucial for improving BC screening and management. The future of breast imaging lies not in replacing existing modalities but in developing a system where each technology complements the other, leading to earlier detection, more effective treatment, and enhanced outcomes.

Indexed as

breast cancerbreast ultrasoundcontrast-enhanced mammogramcontrast-enhanced ultrasound (ceus)magnetic resonance imaging breastmammographymolecular breast imagingphotoacoustic imagingpositron emission tomography computed tomography

Identifiers

PMID40416096
PMCPMC12098770

What OpenQuestion holds

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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.