Background Accurate preoperative prediction of upstaging in women with biopsy-proven
ductal carcinoma in situ (DCIS) is important for surgical planning, but published models …

Purpose The aim of this study was to determine whether deep features extracted from digital
mammograms using a pretrained deep convolutional neural network are prognostic of occult …

Background About 20%–40% of patients diagnosed with ductal carcinoma in situ (DCIS) by
core needle biopsy (CNB) will develop invasive cancer at the time of excision. Improving the …

Ductal carcinoma-in situ (DCIS) is a non-obligate precursor for invasive breast cancer and
concern exists regarding the potential for overdiagnosis and overtreatment as the natural …

Abstract Background Approximately 8–56% of patients with a core needle biopsy (CNB)
diagnosis of ductal carcinoma in situ (DCIS) will be upstaged to invasive disease at the time …

Background Approximately 30% of ductal carcinoma in situ (DCIS) cases have an invasive
component discovered on the final analysis that could affect surgical management. The aims …

Prognostic Nomogram for Prediction of Axillary Pathologic Co... : Medicine Prognostic
Nomogram for Prediction of Axillary Pathologic Complete Response After Neoadjuvant …

Background Patients with a biopsy diagnosis of ductal carcinoma in situ (DCIS) might be
diagnosed with invasive breast cancer at excision, a phenomenon known as …

Rationale and Objectives: The study investigated the potential of the combined use of
dynamic contrast-enhanced MRI and diffusion-weighted imaging in predicting the …

Background This study aimed to validate the DCIS-upstage model, a previously developed
model to predict the risk of upstaging to invasive breast cancer in patients with biopsy …