Evidence map›Paper›PMID 29692540›Full record

ArticleThe Indian journal of radiology & imaging

Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade.

Kanika Gupta, Meenakshisundaram Kumaresan, Bhuvaneswari Venkatesan, Tushar Chandra, Aruna Patil, Maya Menon

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of radiology & imaging. 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
0.2field-weighted citation impact, top 49% of its field
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, 6 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 2 countries.

Kanika GuptaDepartment of Radiodiagnosis, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.
Meenakshisundaram KumaresanDepartment of Pathology, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.
Bhuvaneswari VenkatesanDepartment of Radiodiagnosis, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.
Tushar ChandraDepartment of Radiology, University of Central Florida, Orlando, USA.
Aruna PatilDepartment of Community Medicine, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.
Maya MenonDepartment of Obstetrics and Gynecology, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.
ESI - Post Graduate Institute of Medical Science and Research · INUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAssessment of individual sonographic features provides vital clues about the biological behavior of breast masses and can assist in determining histological grade of malignancy and thereby prognosis.

aimsAssessment of individual sonographic features of biopsy proven invasive ductal breast carcinomas as predictors of malignancy grade. SETTINGS AND

designA retrospective analysis of sonographic findings of 103 biopsy proven invasive ductal breast carcinomas. MATERIALS AND

methodsTumor characteristics on gray-scale ultrasound and color flow were assessed using American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) Atlas Fifth Edition. The sonographic findings of masses were individually correlated with their histopathologic grades. STATISTICAL ANALYSIS USED: Chi square test, ordinal regression, and Goodman and Kruskal tau test.

resultsBreast mass showing reversal/lack of diastolic flow has a high probability of belonging to histological high grade tumor (

conclusionsCertain ultrasound features are associated with tumor grade on histopathology. If the radiologist is cognizant of these sonographic features, ultrasound can be a potent modality for predicting histopathological grade of IDCs of the breast, especially in settings where advanced tests such as receptor and molecular analyses are limited.

Indexed as

BI-RADSbreast malignancyhistological gradeinvasive ductal carcinomaultrasound

Identifiers

PMID29692540
PMCPMC5894308
OpenAlexW2794507252

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.