Publications by authors named "R M Factor"

Importance: Active monitoring for low-risk ductal carcinoma in situ (DCIS) of the breast has been proposed as an alternative to guideline-concordant care, but the safety of this approach is unknown.

Objective: To compare rates of invasive cancer in patients with low-risk DCIS receiving active monitoring vs guideline-concordant care.

Design, Setting, And Participants: Prospective, randomized noninferiority trial enrolling 995 women aged 40 years or older with a new diagnosis of hormone receptor-positive grade 1 or grade 2 DCIS without invasive cancer at 100 US Alliance Cancer Cooperative Group clinical trial sites from 2017 to 2023.

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Article Synopsis
  • A study using single-cell RNA sequencing analyzed ductal carcinoma in situ (DCIS) to understand its growth mechanisms and how it may progress to invasive cancer.
  • Researchers identified a mix of cancerous and normal epithelial cells, uncovering significant genetic diversity and different cell states driven by estrogen receptor expression.
  • The findings suggest that changes in specific cell states and loss of basement membrane integrity are linked to the transition from DCIS to invasive breast cancer, highlighting the biological complexity of preinvasive breast diseases.
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Objective: Conflicting data exist on the diagnostic sensitivity of core-needle biopsy (CNB) compared to fine-needle aspiration (FNA) in the evaluation of axillary lymph node metastasis from breast cancer. Our purpose was to evaluate the sensitivity of CNB and FNA using subsequent axillary surgery as the gold standard and to compare the patients' subjective pain levels for each biopsy method.

Methods: This IRB-approved prospective study enrolled 140 patients from February 2014 to May 2019 with known or suspected breast cancer.

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Myeloid sarcoma (MS) is a rare extramedullary solid tumor arising most often in patients with current or subsequent acute myeloid leukemia (AML). Patients of all ages may present with involvement of the skin, lymph nodes, intestinal tract, bone, and/or central nervous system. Isolated involvement of the breast is rare, and only a small number of cases have been described in the literature.

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We demonstrate an automated two-step tumor segmentation method leveraging color information from brightfield images of fresh core needle biopsies of breast tissue. Three different color spaces (HSV, CIELAB, YCbCr) were explored for the segmentation task. By leveraging white-light and green-light images, we identified two different types of color transformations that could separate adipose from benign and tumor or cancerous tissue.

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