Evidence map›Paper›PMID 40606998›Full record

ReviewFrontiers in oncology2025

Advances in breast cancer diagnosis: a comprehensive review of imaging, biosensors, and emerging wearable technologies.

Abdul Qadeer Khan, Manahil Touseeq, Sara Rehman, Maria Tahir, Malaika Ashfaq, Emaan Jaffar, Saadullah Farooq Abbasi

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Coordinated psycho-oncology in young adults with breast cancer: equity gradients, timely access, and out-of-pocket spending in China.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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

7 authors.

Abdul Qadeer Khan *Department of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Manahil Touseeq *Department of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Sara RehmanDepartment of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Maria TahirDepartment of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Malaika AshfaqDepartment of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Emaan JaffarDepartment of Biomedical Engineering, Riphah International University, Islamabad, Pakistan.
Saadullah Farooq AbbasiDepartment of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer has been the most frequent diagnosed cancer and the leading cause of cancer-related deaths among women worldwide, mainly due to delayed detection. Early diagnosis significantly improves prognosis and long-term survival rates. Various techniques, including imaging, sensors, and molecular biotechnology, have been developed to facilitate early detection. This review provides a comprehensive analysis of these diagnostic techniques, emphasizing precision, patient comfort, and cost-effectiveness. Additionally, it explores the emerging role of wearable technologies, such as smart bras and real-time monitoring devices, in revolutionizing breast cancer detection. The review concludes by discussing the limitations of current diagnostic methods and proposing future directions for enhancing early detection and improving patient outcomes.

Indexed as

artificial intelligencebiosensorsbreast cancerimagingwearable technologies

Identifiers

PMID40606998
PMCPMC12213879

What OpenQuestion holds

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LicenceCC BY
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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.