Evidence map›Paper›PMID 40744681›Full record

ArticleCancer reports (Hoboken, N.J.)2025

Sonographic Correlations With Histological Grade and Biomarker Profiles in Breast Invasive Ductal Carcinoma.

Golnaz Moradi, Nasrin Ahmadinejad, Diana Zarei, Nahid Sadighi

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 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. Review
  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.

Golnaz MoradiAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-1112-459X
Nasrin AhmadinejadAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Imam Khomeini Hospital, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0444-2538
Diana ZareiAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-5468-9235
Nahid SadighiAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-5965-7731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive ductal carcinoma (IDC), the most common breast cancer subtype, exhibits significant heterogeneity, limiting traditional prognostic markers. Molecular profiles improve precision, but imaging features may also reflect tumor biology.

aimsThis study evaluates the predictive potential and clinical applicability of ultrasound features for determining tumor grade and molecular profiles in IDC. METHODS AND

resultsA blinded radiologist retrospectively analyzed 109 IDC cases using the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) classification, evaluating ultrasound features such as lesion shape, margins, orientation, echo pattern, calcifications, vascularity, and lymph node involvement. Tumors were graded histologically (Scarff-Bloom-Richardson system) as low (grades 1 and 2) or high (grade 3). Immunohistochemistry determined estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. ER and PR positivity were defined as > 10% nuclear staining, HER2 graded on a 0-3+ scale, and Ki-67 positivity as ≥ 10% staining. Statistical analyses, including logistic and linear regression, examined correlations between ultrasound features and histological/molecular profiles. Among 109 women (mean age 48.4 ± 12.5 years), the mean tumor length and width were 21.83 ± 11.22 mm and 15.3 ± 6.97 mm, respectively. Histopathological grading revealed that grade 2 tumors were predominant (51%), while grade 1 and grade 3 tumors were observed in 25% and 24% of cases, respectively. ER and PR positivity were observed in 76.4% and 67.6% of cases, respectively. High-grade tumors were significantly associated with ER and PR negativity (p-value < 0.05). Ultrasound features associated with high-grade tumors included larger tumor length (p-value = 0.029). ER positive tumors had smaller axillary lymph nodes (p-value < 0.05). Likewise, PR positive tumors exhibited smaller suspicious axillary lymph nodes compared to PR negative cases (p-value = 0.004).

conclusionSonographic features may correlate with histological grades and hormone receptor statuses in breast IDC, suggesting that ultrasound could aid in predictive assessment.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastUltrasonography, MammaryAdultAgedErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenMiddle AgedNeoplasm GradingPrognosisReceptors, EstrogenReceptors, ProgesteroneRetrospective StudiesBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, EstrogenReceptors, Progesteronebreast cancerhormone receptorinvasive ductal carcinomatumor gradeultrasound

Identifiers

PMID40744681
PMCPMC12313355

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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.