PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026Diagnostics0 citationsOpen Access

Advances in Breast Cancer Diagnostics: From Screening to Precision Medicine

View Full Paper
KKKlaudia KubiakJBJoanna BidzińskaMBMarta Bednarek

Key Points

  • To synthesize current and emerging diagnostic modalities in breast cancer and examine their impact on clinical decision-making.
  • Review of imaging technologies including digital breast tomosynthesis, contrast-enhanced mammography, and MRI.
  • Discussion on the integration of artificial intelligence and radiomics in screening processes.
  • Analysis of multi-gene expression profiling assays and their role in guiding treatment decisions.
  • Overview of liquid biopsy techniques and next-generation sequencing for genomic profiling.
  • Early imaging technologies enhance diagnosis sensitivity and specificity.
  • AI integration reduces false-positive rates and improves risk stratification.
  • Multi-gene expression assays refine prognosis and treatment planning for hormone receptor-positive breast cancer.
  • Liquid biopsy and ctDNA monitoring offer real-time insights into disease status and treatment response.

Abstract

Breast cancer remains the most frequently diagnosed malignancy in women worldwide, accounting for approximately 2.3 million new cases and 670,000 deaths annually. The diagnostic landscape has undergone a paradigm shift over the past two decades, evolving from morphology-based classification toward molecularly informed, precision-guided strategies. Early and accurate diagnosis is fundamental to improving outcomes; advances in imaging technology, including digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), and abbreviated magnetic resonance imaging (MRI), have improved sensitivity and specificity in diverse patient populations. Simultaneously, the integration of artificial intelligence (AI) and radiomics into screening workflows offers unprecedented potential for risk stratification and a reduction in false-positives. At the pathological level, multi-gene expression profiling assays such as Oncotype DX, MammaPrint, Prosigna, and EndoPredict have refined prognostic classification and guide adjuvant chemotherapy decisions in early-stage hormone receptor-positive disease. The emergence of liquid biopsy, circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomal biomarkers provides minimally invasive tools for real-time monitoring of response, residual disease, and the evolution of resistance mechanisms. Precision diagnostics now encompass next-generation sequencing (NGS)-based comprehensive genomic profiling, enabling identification of actionable alterations such as PIK3CA mutations, HER2 amplification, BRCA1/2 pathogenic variants, and NTRK fusions, each linked to approved therapeutic agents. The purpose of this review is to provide a comprehensive synthesis of current and emerging diagnostic modalities in breast cancer—from population-level screening to individualized molecular profiling—and to examine how integrative, multimodal diagnostic platforms are reshaping clinical decision-making in the era of precision medicine.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kubiak et al. (2026) studied this question.

synapsesocial.com/papers/69e320af40886becb653fd00https://doi.org/10.3390/diagnostics16081181
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advanced Versus Invasive Breast Cancer Risk in a Screening Population: Implications for Risk-based Prevention and Screening Strategies2026 · 1 citations
  2. 2Validation of an Artificial Intelligence Model for Breast Cancer Molecular Subtyping Using Hematoxylin and Eosin-Stained Whole-Slide Images in a Population-Based Cohort2025 · 6 citations
  3. 3Supplemental imaging modalities for breast cancer screening in women with dense breasts: A systematic review with economic considerations2025 · 6 citations
  4. 4Predicting PIK3CA mutation in breast cancer with machine learning based multimodal image radiomics2025 · 3 citations
  5. 5Radiomics: the bridge between medical imaging and personalized medicine2017 · 5,795 citations