Akademik Veri Yönetim Sistemi
European journal of breast health, cilt.19, sa.4, ss.262-266, 2023 (ESCI)
The landscape of breast imaging has transformed significantly since mammography’s introduction in the 1960s, accelerated by ultrasound and imageguided
biopsies in the 1990s. The emergence of magnetic resonance imaging (MRI) in the 2000s added a valuable dimension to advanced imaging.
Multimodality and multiparametric imaging have firmly established breast radiology’s pivotal role in managing breast disorders. A shift from conventional
to digital radiology emerged in the late 20th and early 21st centuries, enabling advanced techniques like digital breast tomosynthesis, contrast-enhanced
mammography, and artificial intelligence (AI) integration. AI’s impending integration into breast radiology may enhance diagnostics and workflows. It
involves computer-aided diagnosis (CAD) algorithms, workflow support algorithms, and data processing algorithms. CAD systems, developed since the
1980s, optimize cancer detection rates by addressing false positives and negatives. Radiologists’ roles will evolve into specialized clinicians collaborating with
AI for efficient patient care and utilizing advanced techniques with multiparametric imaging and radiomics. Wearable technologies, non-contrast MRI, and
innovative modalities like photoacoustic imaging show potential to enhance diagnostics. Imaging-guided therapy, notably cryotherapy, and theranostics,
gains traction. Theranostics, integrating therapy and diagnostics, holds potential for precise treatment. Advanced imaging, AI, and novel therapies will
revolutionize breast radiology, offering refined diagnostics and personalized treatments. Personalized screening, AI’s role, and imaging-guided therapies will
shape the future of breast radiology.