Publications by authors named "B Schaefgen"
Objectives: Patients with triple-negative breast cancer (TNBC) exhibit a fast tumor growth rate and poor survival outcomes. In this study, we aimed to develop and compare intelligent algorithms using ultrasound radiomics features in addition to clinical variables to identify patients with TNBC prior to histopathologic diagnosis.
Methods: We used single-center, retrospective data of patients who underwent ultrasound before histopathologic verification and subsequent neoadjuvant systemic treatment (NAST).
Article Synopsis
- Some breast cancer patients don’t fully respond to treatment, which makes it harder for them to recover.
- Researchers looked at a special biopsy method called VAB to see if it could help detect these patients before surgery.
- They found that VAB always showed if there was leftover cancer after treatment, while regular imaging methods weren't as reliable.
Background: Breast ultrasound identifies additional carcinomas not detected in mammography but has a higher rate of false-positive findings. We evaluated whether use of intelligent multi-modal shear wave elastography (SWE) can reduce the number of unnecessary biopsies without impairing the breast cancer detection rate.
Methods: We trained, tested, and validated machine learning algorithms using SWE, clinical, and patient information to classify breast masses.
Article Synopsis
- AI algorithms for medical image analysis showed they can perform as well as human readers in breast cancer diagnosis but need to incorporate multiple data sources for better accuracy.
- * In a study with 1288 women, both human experts and AI using ultrasound data alone had similar success rates in diagnosing breast masses.
- * However, when integrating additional clinical and demographic information, AI algorithms performed better, yet both still lagged behind traditional routine diagnosis methods.
Purpose: Neoadjuvant systemic treatment (NST) elicits a pathologic complete response in 40%-70% of women with breast cancer. These patients may not need surgery as all local tumor has already been eradicated by NST. However, nonsurgical approaches, including imaging or vacuum-assisted biopsy (VAB), were not able to accurately identify patients without residual cancer in the breast or axilla.
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