Science & reading

Mammography research & reading

A considered reading collection on screening, image acquisition, and the patient experience. Explore the findings, understand the limits, and follow the evidence to its original source.

11 of 11 publications

2026Commentary

A wider conversation about breast cancer care

Angus DC; O’Connor MB; Young LJ
JAMA · published online October 22, 2026

An editorial conversation about progress in breast cancer care, screening, access, and prevention. A starting point for the wider screening discussion.

What to keep in mind

Journalistic discussion, not a clinical trial or an evaluation of MammoGRIP.

Citation & reading note

Breast Cancer’s Transformation From Terminal to Manageable: A Healthy Dialogue With Nancy E. Davidson. Angus DC; O’Connor MB; Young LJ. JAMA · published online October 22, 2026. DOI: 10.1001/jama.2026.21078.

Summary based on the available full text.

2024Guideline

Who should be screened, and when?

US Preventive Services Task Force; Nicholson WK; Silverstein M; et al.
JAMA · 331(22):1918–1930

Recommends mammography every two years for average-risk women aged 40–74, balancing screening benefits and harms.

What to keep in mind

US guidance; other organizations differ on screening intervals. Individual risk and local guidance matter.

Citation & reading note

Screening for Breast Cancer: US Preventive Services Task Force Recommendation Statement. US Preventive Services Task Force; Nicholson WK; Silverstein M; et al.. JAMA · 331(22):1918–1930. DOI: 10.1001/jama.2024.5534.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2002Observational

Positioning quality and cancer detection

Taplin SH; Rutter CM; Finder C; et al.
AJR · 178(4):797–803

In a retrospective assessment of 656 cancers, sensitivity was 84% with passing positioning versus 66.3% when positioning failed.

What to keep in mind

Association from older screen-film examinations, not proof that a specific positioning product improves detection.

Citation & reading note

Screening mammography: clinical image quality and the risk of interval breast cancer. Taplin SH; Rutter CM; Finder C; et al.. AJR · 178(4):797–803. DOI: 10.2214/ajr.178.4.1780797.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2025Quality improvement

Improving positioning through a quality program

Arjmandi FK; Munjal H; Hayes JC; et al.
JACR · 22(11):1371–1379

A structured quality-improvement program increased examinations meeting positioning criteria from 45% to 58% overall.

What to keep in mind

Experience from one health system; training and workflow effects cannot be assigned to a single intervention.

Citation & reading note

Mammography Positioning Improvement Results and Unique Challenges in a Safety-Net Health System. Arjmandi FK; Munjal H; Hayes JC; et al.. JACR · 22(11):1371–1379. DOI: 10.1016/j.jacr.2025.07.007.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2026Observational

Real-time feedback at image acquisition

Sexauer R; Riehle F; Borkowski K; et al.
European Radiology · 36(1):55–63 · online 2025

After implementation of AI quality feedback, inadequate images decreased over successive cohorts, from 13.31% at baseline to 3.20% in 2023.

What to keep in mind

Retrospective single-center implementation study, with vendor-linked coauthors; not randomized or a mortality study.

Citation & reading note

Enhancing breast positioning quality through real-time AI feedback. Sexauer R; Riehle F; Borkowski K; et al.. European Radiology · 36(1):55–63 · online 2025. DOI: 10.1007/s00330-025-11812-w.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2023Randomized trial

MASAI: the early safety analysis

Lång K; Josefsson V; Larsson AM; et al.
The Lancet Oncology · 24(8):936–944

Early randomized MASAI results examined the safety and reading workload of AI-supported screening compared with standard double reading.

What to keep in mind

Early analysis; interval-cancer outcomes were reported later. Read alongside the 2026 primary-endpoint publication.

Citation & reading note

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study. Lång K; Josefsson V; Larsson AM; et al.. The Lancet Oncology · 24(8):936–944. DOI: 10.1016/S1470-2045(23)00298-X.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2026Randomized trial

MASAI: interval cancers and sensitivity

Gommers J; Hernström V; Josefsson V; et al.
The Lancet · 407(10527):505–514

AI-supported screening met the interval-cancer non-inferiority criterion. Sensitivity was higher, while specificity was similar between groups.

What to keep in mind

The numerical 12% interval-cancer reduction was not statistically significant; it is not evidence of mortality reduction.

Citation & reading note

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial. Gommers J; Hernström V; Josefsson V; et al.. The Lancet · 407(10527):505–514. DOI: 10.1016/S0140-6736(25)02464-X.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2025Reader study

AI assistance and reader experience

Ramli Hamid MT; Ab Mumin N; Abdul Hamid S; et al.
PLOS One · 20(5):e0322925

A retrospective reader study of 434 mammograms explored how AI assistance affects readers with different experience levels.

What to keep in mind

Single referral-center dataset and four readers. Does not test positioning interventions or demonstrate population screening outcomes.

Citation & reading note

Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistance. Ramli Hamid MT; Ab Mumin N; Abdul Hamid S; et al.. PLOS One · 20(5):e0322925. DOI: 10.1371/journal.pone.0322925.

Summary based on the available full text.

2013Systematic review

When pain becomes a barrier to returning

Whelehan P; Evans A; Wells M; MacGillivray S
The Breast · 22(4):389–394

Across 20 studies, pain emerged as a barrier to returning for screening. In robust studies asking non-attenders why they did not return, 25–46% cited pain.

What to keep in mind

That percentage describes non-attenders, not all screened women. Study methods and pain measures varied.

Citation & reading note

The effect of mammography pain on repeat participation in breast cancer screening: a systematic review. Whelehan P; Evans A; Wells M; MacGillivray S. The Breast · 22(4):389–394. DOI: 10.1016/j.breast.2013.03.003.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2019Randomized trial

Patient involvement in compression

Henrot P; Boisserie-Lacroix M; Boute V; et al.
JAMA Internal Medicine · 179(3):407–414

Self-compression met the breast-thickness non-inferiority criterion and was associated with less reported pain, without a reported image-quality difference.

What to keep in mind

Selected participants able to self-compress; subjective outcomes were unblinded. This evaluates compression, not MammoGRIP.

Citation & reading note

Self-compression Technique vs Standard Compression in Mammography: A Randomized Clinical Trial. Henrot P; Boisserie-Lacroix M; Boute V; et al.. JAMA Internal Medicine · 179(3):407–414. DOI: 10.1001/jamainternmed.2018.7169.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

2021Narrative review

Understanding the limits of mammography

Berg WA; Rafferty EA; Friedewald SM; Hruska CB; Rahbar H
AJR · 216(2):275–294

Reviews how dense tissue affects mammographic performance and the benefits and tradeoffs of supplemental imaging options.

What to keep in mind

Narrative review reflecting evidence available at publication. Supplemental tests have distinct false-positive, access, and safety considerations.

Citation & reading note

Screening Algorithms in Dense Breasts: AJR Expert Panel Narrative Review. Berg WA; Rafferty EA; Friedewald SM; Hruska CB; Rahbar H. AJR · 216(2):275–294. DOI: 10.2214/AJR.20.24436.

Summary based on the abstract and bibliographic record; consult the full text for methodological detail.

Educational reading to support critical appraisal. It does not replace individual clinical assessment, current guidance, or institutional protocols. Links open at original sources; articles, abstracts, and figures are not republished here.