Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: The assessment of Human Epidermal Growth Factor Receptor 2 (HER2) expression status is crucial for determining the eligibility of breast cancer (BC) patients for HER2-targeted therapies. This study aims to develop a nomogram model that incorporates multimodal ultrasound imaging features alongside clinicopathological characteristics to evaluate HER2 status.
Methods: A retrospective analysis was conducted on 456 breast cancer patients who underwent breast ultrasound between January 2019 and December 2021. The dataset was randomly divided into a training cohort (n = 319) and a validation cohort (n = 137) in a 7:3 ratio. Independent factors predicting HER2 status in the training cohort were evaluated using univariate and multivariate logistic regression. Subsequently, a combined model was developed and validated in the validation cohort. Model performance was assessed through receiver operating characteristic (ROC) curves, decision curve analysis (DCA) and calibration curves to evaluate discrimination, net clinical benefit, and calibration, respectively.
Results: Of the 456 patients enrolled, 120 (26.32%) were HER2-positive and 336 (73.68%) were HER2-negative. The area under the ROC curve (AUC) for the combined model distinguishing HER2-negative from HER2-positive patients was 0.864 (95% CI: 0.823-0.904) in the training cohort and 0.874 (95% CI: 0.815-0.933) in the validation cohort. Significant predictors included estrogen receptor (ER) status, Ki67, ultrasound lesion size, calcification, and posterior acoustic features. Additionally, the calibration curves for the combined model indicated good fit in both the training and validation cohorts.
Conclusion: A nomogram constructed from clinical and ultrasound features may serve as a promising non-invasive tool for determining HER2 expression status, aiding in the prediction of eligibility for HER2-targeted therapy in clinical practice.
Clinical Trial Number: Not applicable.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12225209 | PMC |
| http://dx.doi.org/10.1186/s12905-025-03828-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Newly Established Anoikis-Associated Genes Predict the Prognosis of Hepatocellular Carcinoma.
J Hepatocell Carcinoma
September 2025
Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Objective: Anoikis is an anchorage-dependent programmed cell death implicated in multiple pathological processes of cancers; however, the prognostic value of anoikis-related genes (ANRGs) in hepatocellular carcinoma (HCC) remains unclear. Our study aims to develop an ANRGs-based prediction model to improve prognostic assessment in HCC patients.
Methods: The RNA-seq profile was performed to estimate the expression of ANRGs in HCC patients.
The morphological patterns of lung adenocarcinoma (LUAD) are recognized for their prognostic significance, with ongoing debate regarding the optimal grading strategy. This study aimed to develop a clinical-grade, fully quantitative, and automated tool for pattern classification/quantification (PATQUANT), to evaluate existing grading strategies, and determine the optimal grading system. PATQUANT was trained on a high-quality dataset, manually annotated by expert pathologists.
View Article and Find Full Text PDFFully-connected network-based prediction model for lymph node metastasis in clinical early-stage endometrial cancer: development and validation in two centers.
Front Oncol
August 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Objective: The risk of lymph node metastasis significantly influences the choice of surgical strategy for patients with early-stage endometrial cancer. While sentinel lymph node dissection can be considered in clinically early-stage endometrial cancer, lymph node evaluation might be omitted in patients with very low risk of lymph node metastasis. This study aims to develop a predicting model for lymph node metastasis in these patients, identifying potential metastases as thoroughly as possible to provide clinicians with a preoperative reference that helps in decisions about surgical procedures and treatments.
View Article and Find Full Text PDFUtilizing tumor deposit count as a stratification criterion in revising TNM staging system for patients with colorectal cancer: a nomogram review study.
Front Oncol
August 2025
Department of Surgery, Hebei Medical University, Shijiazhuang, Hebei, China.
Background: Tumor deposit (TD) is an independent risk factor associated with recurrence or metastasis for patients with colorectal cancer (CRC). The scenario in which both TD and lymph node metastasis (LNM) are positive is not clearly illustrated by the current TNM staging system. Simply treating one TD as one or two LNMs by a weighting factor is inappropriate.
View Article and Find Full Text PDFRadiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients.
Front Oncol
August 2025
Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Purpose: Identifying radiomics features that help predict whether glioblastoma patients are prone to developing epilepsy may contribute to an improvement of preventive treatment and a better understanding of the underlying pathophysiology.
Materials And Methods: In this retrospective study, 3-T MRI data of 451 pretreatment glioblastoma patients (mean age: 61.2 ± 11.