Diagnostic utility of ultrasound features in identifying triple-negative breast cancer

Background: Ultrasound is commonly used to characterise clinically detected mass and mammographically suspicious lesions, determine the probability of malignancy and guide biopsy. Besides assessing the morphological features of the cancer, ultrasound may provide potentially useful information on the histological grade and receptor status of the cancer. Aim: This study aimed to evaluate the utility of ultrasound features of breast cancer in predicting the triple-negative receptor type of breast cancer. Materials and Methods: This prospective study was carried out at the Alluri Sitarama Raju Academy of Medical Sciences over 15 months, involving 77 consecutive patients. Sonographic features such as tumour shape, margins, echogenicity, orientation, vascularity, posterior acoustic features and architectural distortion of the surrounding tissues were studied. Immunohistochemistry findings of all breast cancer cases were obtained, and the association between receptor status (triple negative vs. non-triple negative) and tumour grade with sonographic features was assessed. Results: In association with triple-negative breast cancer (TNBC) receptor status, lobulated margins had 80% sensitivity and 77.2% specificity, posterior acoustic enhancement had 70% sensitivity and 78.9% specificity, high vascularity had 85% sensitivity and 77.2% specificity, absence of architectural distortion had 85% sensitivity and 43.9% specificity and high-grade tumours had 75% sensitivity and 80.7% specificity. In association with non-TNBC receptor status, spiculated margins had 38.6% sensitivity and 95% specificity, posterior acoustic shadowing had 33.3% sensitivity and 78.9% specificity, low vascularity had 43.9% sensitivity and 65% specificity, presence of architectural distortion had 43.9% sensitivity and 85% specificity and low-grade tumours had 80.7% sensitivity and 70% specificity. Sonographic characteristics such as posterior acoustic features, margins, vascularity, grade and architectural distortion that could distinguish between TNBC and non-TNBC receptor status were statistically significant ( P < 0.05). Parameters such as shape, echogenicity and orientation showed no significant difference. Conclusions: Using ultrasound characteristics, it is possible to predict receptor status, whether a particular malignant lesion is triple negative or non-triple negative and its grade.

Authors

Publication Details

Journal
Current Medicine Research and Practice
Published
2025-05-01
DOI
https://doi.org/10.4103/cmrp.cmrp_187_24
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic utility of ultrasound features in identifying triple-negative breast cancer

Jampana Sahitya, Kavya Kilaparti, Meghala Batchu
Current Medicine Research and Practice
Breast Cancer Treatment Studies
article

Diagnostic utility of ultrasound features in identifying triple-negative breast cancer

Jampana Sahitya, Kavya Kilaparti, Meghala Batchu
article en

Abstract

Background: Ultrasound is commonly used to characterise clinically detected mass and mammographically suspicious lesions, determine the probability of malignancy and guide biopsy. Besides assessing the morphological features of the cancer, ultrasound may provide potentially useful information on the histological grade and receptor status of the cancer. Aim: This study aimed to evaluate the utility of ultrasound features of breast cancer in predicting the triple-negative receptor type of breast cancer. Materials and Methods: This prospective study was carried out at the Alluri Sitarama Raju Academy of Medical Sciences over 15 months, involving 77 consecutive patients. Sonographic features such as tumour shape, margins, echogenicity, orientation, vascularity, posterior acoustic features and architectural distortion of the surrounding tissues were studied. Immunohistochemistry findings of all breast cancer cases were obtained, and the association between receptor status (triple negative vs. non-triple negative) and tumour grade with sonographic features was assessed. Results: In association with triple-negative breast cancer (TNBC) receptor status, lobulated margins had 80% sensitivity and 77.2% specificity, posterior acoustic enhancement had 70% sensitivity and 78.9% specificity, high vascularity had 85% sensitivity and 77.2% specificity, absence of architectural distortion had 85% sensitivity and 43.9% specificity and high-grade tumours had 75% sensitivity and 80.7% specificity. In association with non-TNBC receptor status, spiculated margins had 38.6% sensitivity and 95% specificity, posterior acoustic shadowing had 33.3% sensitivity and 78.9% specificity, low vascularity had 43.9% sensitivity and 65% specificity, presence of architectural distortion had 43.9% sensitivity and 85% specificity and low-grade tumours had 80.7% sensitivity and 70% specificity. Sonographic characteristics such as posterior acoustic features, margins, vascularity, grade and architectural distortion that could distinguish between TNBC and non-TNBC receptor status were statistically significant ( P < 0.05). Parameters such as shape, echogenicity and orientation showed no significant difference. Conclusions: Using ultrasound characteristics, it is possible to predict receptor status, whether a particular malignant lesion is triple negative or non-triple negative and its grade.

Current Medicine Research and PracticeVol. 15(3)
Good health and well-being
Openalex Percentile: Top 80%
Breast Cancer Treatment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.