Evidence map›Paper›PMID 41675437›Full record

ReviewFrontiers in radiology2025

Radiologic imaging and its current importance in breast cancer management.

Nisha Dagar, Monu Sarin, Piyush Yadav, Rajdeep Thidwar

Abstract readReview
In one paragraph

Review in Frontiers in radiology, 2025. 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
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.

  1. Article
  2. 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

4 authors.

Nisha DagarDepartment of Radiology, Centre of Allied Health Sciences/Amrita School of Medicine, Amrita Institute of Medical Sciences and Research Centre, Faridabad, India.
Monu SarinDepartment of Radio-Diagnosis, SGT University, Budhera, Gurugram, India.
Piyush YadavGuru Nanak Paramedical College, Dhahan Kaleran (PB), India.
Rajdeep ThidwarGuru Nanak Paramedical College, Dhahan Kaleran (PB), India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study examines the approaches used for cancer screening in women, insisting on the roles of mammography, breast ultrasound, breast MRI, computed tomography (CT), and positron emission tomography. Mammography is still the key method for early detection, with modern digital technology boosting image quality and diagnostic accuracy. Breast MRI provides increased sensitivity for high-risk individuals, and it is recommended to be used with mammography for full screening. Methods: This review article provides a comprehensive assessment of breast imaging techniques, focussing on screening recommendations and advancements in mammography, ultrasonography, MRI, CT, and PET. These methods provide a multidisciplinary approach to improving breast cancer detection, diagnosis, and personalized care. Early detection is necessary for less aggressive treatment. Digital breast tomosynthesis consists of contrast-enhanced spectral mammography, molecular breast imaging, MRI, and USG. Results: Mammography remains the primary imaging modality for detecting breast abnormalities, including cancer. The use of standardized interpretation systems improves the communication of findings. The present paper summarizes the primary disputes surrounding breast cancer management. Conclusion: According to the literature, low-dose mammography is the only radiographic technique that has significantly impacted the diagnosis, staging, and patient follow-up for asymptomatic breast cancer screening. Mammography is also the only accurate screening test for breast imaging. Implications for practice.

Indexed as

breastcancerCECTcontrastmagnetic resonance mammographymammography

Identifiers

PMID41675437
PMCPMC12886401

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.