Evidence map›Paper›PMID 42344190›Full record

ReviewThe Indian journal of radiology & imaging2026

Ability of MRI Breast to Predict Pathologic Complete Response Following Neoadjuvant Systemic Therapy in Patients with Breast Cancer.

Anu L Joy, Teena Sleeba, Anu S Easo, Aju Mathew

Abstract readReview
In one paragraph

Review in The Indian journal of radiology & imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anu L JoyDepartment of General Medicine, Basingstoke and North Hampshire Hospital, Basingstoke, United Kingdom.
Teena SleebaDepartment of Radiology, Rajagiri Hospital, Kochi, Kerala, India.
Anu S EasoDepartment of Radiology, MOSC Medical College, Kolenchery, Kerala, India.ORCID 0000-0001-9698-6908
Aju MathewDepartment of Oncology, MOSC Medical College, Kolenchery, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoadjuvant systemic therapy (NST) has revolutionized the management of breast cancer by downstaging the disease and improving survival rates. Pathologic complete response, where surgical histopathological examination shows no invasive cancer in the breast and axilla, is not an uncommon scenario. In such patients, surgery may have added value to cancer control only for documenting the absence of cancer cells in the body in response to NST. In other words, could we have forfeited surgery for such patients if we were able to reliably identify them before surgery? However, the challenge lies in accurately identifying such patients. This narrative literature review explores the predictive ability of MRI scans in assessing pathological complete response (pCR) following NST. MRI demonstrates high sensitivity and specificity in detecting residual tumors post-NST, outperforming conventional imaging modalities. Combining diffusion-weighted MRI and contrast-enhanced MRI enhances diagnostic accuracy, particularly in monitoring response to chemotherapy. However, MRI's limitations include over- or underestimation of lesion size and morphology, necessitating complementary approaches for precise assessment. Vacuum-assisted core biopsy (VACB) emerges as a promising adjunct to MRI, offering high negative predictive value and minimal invasiveness. MRI-guided VACB enables accurate tissue sampling and lesion verification, augmenting diagnostic certainty. This integrated approach could particularly benefit patients with smaller-sized triple-negative or HER2-positive tumors. Further research is warranted to establish the clinical utility of combined MRI and VACB in predicting pCR post-NST and guiding personalized treatment decisions. Such advancements hold promise for a paradigm shift in breast cancer management, sparing patients from avoidable surgeries and optimizing therapeutic outcomes.

Indexed as

breast MRIcontrast-enhanced MRIdiffusion-weighted MRIneoadjuvant systemic therapypathologic complete response

Identifiers

PMID42344190
PMCPMC13290314

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Registered trials

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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.