Evidence map›Paper›PMID 38351366›Full record

ArticleBreast cancer (Tokyo, Japan)2024

A novel approach correlating pathologic complete response with digital pathology and radiomics in triple-negative breast cancer.

Sean M Hacking, Gabrielle Windsor, Robert Cooper, Zhicheng Jiao, Ana Lourenco, Yihong Wang

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Article in Breast cancer (Tokyo, Japan), 2024. 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.

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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

6 authors.

Sean M HackingDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA. Sean.Hacking@nyulangone.org.
Gabrielle WindsorWarren Alpert Medical School of Brown University, Providence, RI, USA.
Robert CooperDepartment of Radiology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Zhicheng JiaoDepartment of Radiology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Ana LourencoDepartment of Radiology, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Yihong WangDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This rapid communication highlights the correlations between digital pathology-whole slide imaging (WSI) and radiomics-magnetic resonance imaging (MRI) features in triple-negative breast cancer (TNBC) patients. The research collected 12 patients who had both core needle biopsy and MRI performed to evaluate pathologic complete response (pCR). The results showed that higher collagenous values in pathology data were correlated with more homogeneity, whereas higher tumor expression values in pathology data correlated with less homogeneity in the appearance of tumors on MRI by size zone non-uniformity normalized (SZNN). Higher myxoid values in pathology data are correlated with less similarity of gray-level non-uniformity (GLN) in tumor regions on MRIs, while higher immune values in WSIs correlated with the more joint distribution of smaller-size zones by small area low gray-level emphasis (SALGE) in the tumor regions on MRIs. Pathologic complete response (pCR) was associated with collagen, tumor, and myxoid expression in WSI and GLN and SZNN in radiomic features. The correlations of WSI and radiomic features may further our understanding of the TNBC tumoral microenvironment (TME) and could be used in the future to better tailor the use of neoadjuvant chemotherapy (NAC). This communication will focus on the post-NAC MRI features correlated with pCR and their association with WSI features from core needle biopsies.

Indexed as

Magnetic Resonance ImagingTriple Negative Breast NeoplasmsAdultAgedBiopsy, Large-Core NeedleFemaleHumansMiddle AgedNeoadjuvant TherapyPathologic Complete ResponseRadiomicsTumor MicroenvironmentCorrelationDigital pathologyMagnetic resonance imagingRadiomicsTriple-negative breast cancerWhole slide imaging

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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.