Evidence map›Paper›PMID 34513212›Full record

ArticleJournal of clinical imaging science2021

Ultrasound Imaging Morphology is Associated with Biological Behavior in Invasive Ductal Carcinoma of the Breast.

Gopal R Vijayaraghavan, Matthew Kona, Abiramy Maheswaran, Dina H Kandil, Madhavi K Toke, Srinivasan Vedantham

Abstract read
In one paragraph

Article in Journal of clinical imaging science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Gopal R VijayaraghavanDepartment of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts, United States.
Matthew KonaDepartment of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts, United States.
Abiramy MaheswaranDepartment of Medical Oncology, University of Massachusetts Medical School, Worcester, Massachusetts, United States.
Dina H KandilDepartment of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts, United States.
Madhavi K TokeDepartment of Medical Oncology, University of Massachusetts Medical School, Worcester, Massachusetts, United States.
Srinivasan VedanthamDepartment of Medical Imaging, University of Arizona, Tucson, Arizona, United States.

Funding

Towards screening with high-resolution, low-dose, dedicated breast CTR01CA199044 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SRINIVASAN VEDANTHAM · 2016 to 2026
$6.1M
Reducing mastectomy rates in invasive lobular carcinoma by high-resolution 3D breast CTR01CA195512 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI VEDANTHAM, SRINIVASAN · 2015 to 2017
$757k
NCI NIH HHS R01 CA195512NCI NIH HHS R01 CA199044
6 · The paper itself

Abstract

objectivesUltrasound (US) is commonly used for diagnostic evaluation of breast lesions. The objective of this study was to investigate the association between US imaging morphology from routine radiologists' interpretation and biological behavior such as receptor status and tumor grade determined from histopathology in invasive ductal carcinoma (IDC). MATERIAL AND

methodsThis retrospective study included 453 patients with pathology-verified diagnosis of IDC who had undergone US imaging and had surgery over a 5-year period. US and surgical pathology reports were reviewed and compiled. Correlation analyses and age-adjusted multivariable models were used to determine the association between US imaging morphology and receptor status, tumor grade, and germ line mutation of the breast cancer genes (BRCA1 and BRCA2). The odds ratio (OR), area under receiver operating characteristic curve (AUC), and 95% confidence intervals (CI) were obtained.

resultsThe likelihood for high-grade cancer increased with size (OR: 1.066; CI: 1.042-1.091) and hypo-echogenicity (OR: 2.044; CI: 1.337-3.126), and decreased with angular or spiculated margins (OR: 0.605; CI: 0.393-0.931) and posterior acoustic shadowing (OR: 0.352; CI: 0.238-0.523). These features achieved an AUC of 0.799 (CI: 0.752-0.845) for predicting high-grade tumors. The likelihood for Estrogen Receptor-positive tumors increased with posterior acoustic shadowing (OR: 3.818; CI: 2.206-6.607), angulated or spiculated margins (OR: 2.596; CI: 1.159-5.815) and decreased with US measured tumor size (OR: 0.959; CI: 0.933-0.986) and hypoechoic features (OR: 0.399; CI: 0.198- 0.801), and achieved an AUC of 0.787 (CI: 0.733-0.841). The likelihood for Progesterone Receptor-positive tumors increased with posterior acoustic shadowing (OR: 2.732; CI: 1.744-4.28) and angulated or spiculated margins (OR: 2.618; CI: 1.412-4.852), and decreased with US measured tumor size (OR: 0.961; CI: 0.937-0.985) and hypoechoic features (OR: 0.571; CI: 0.335-0.975), and achieved an AUC of 0.739 (CI: 0.689-0.790). The likelihood for Human epidermal growth factor receptor 2-positive tumors increased with heterogeneous echo texture (OR: 2.141; CI: 1.17- 3.919) and decreased with angulated or spiculated margins (OR: 0.408; CI: 0.177-0.944), and was marginally associated with hypoechoic features (OR: 2.101; CI: 0.98-4.505) and circumscribed margins (OR: 4.225; CI: 0.919-19.4). The model with the aforementioned four US morphological features and achieved an AUC of 0.686 (CI: 0.614-0.758). The likelihood for triple-negative breast cancers increased with hypo-echogenicity (OR: 2.671; CI: 1.249-5.712) and decreased with posterior acoustic shadowing (OR: 0.287; CI: 0.161-0.513), and achieved an AUC of 0.739 (CI: 0.671- 0.806). No statistical association was observed between US imaging morphology and BRCA mutation.

conclusionIn this study of over 450 IDCs, significant statistical associations between tumor grade and receptor status with US imaging morphology were observed and could serve as a surrogate imaging marker for the biological behavior of the tumor.

Indexed as

Hormone receptorInvasive ductal carcinomaTriple-negative breast cancerTumor gradeUltrasound

Identifiers

PMID34513212
PMCPMC8422408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.