Publications by authors named "Luz A Venta"

The inducible nitric oxide signaling (iNOS) pathway is associated with poor prognosis in triple-negative breast cancer (TNBC). Prior studies using in vivo models showed that inhibition of the iNOS signaling pathway using the pan-NOS inhibitor NG-monomethyl-l-arginine (L-NMMA) reduced tumor growth and enhanced survival in patients with TNBC. Here, we report a first-in-class phase 1/2 trial of L-NMMA combined with taxane for treating patients with chemorefractory, locally advanced breast cancer (LABC) or metastatic TNBC.

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Unusual or prominent calcifications found on screening mammography may prompt additional radiologic and clinical work-up given the possible association with pre-malignant lesions, other high-risk lesions, or malignancies. Osseous metaplasia (OM) of the breast, also referred to as metaplastic ossification or heterotopic bone formation, is an uncommon finding that may present as radiographic calcification. There are isolated case reports of OM associated with benign or malignant tumors of the breast, as well as with a variety of non-neoplastic conditions.

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The aim of this study was to analyze the clinicopathological features of patients with flat epithelial atypia, diagnosed in directional vacuum-assisted biopsy targeting microcalcifications, to identify upgrade rate to in situ ductal or invasive breast carcinoma, and determine factors predicting carcinoma in the subsequent excision. We retrospectively evaluated the histological, clinical, and mammographic features of 69 cases from 65 women, with directional vacuum-assisted biopsy-diagnosed flat epithelial atypia with or without atypical ductal hyperplasia or atypical lobular hyperplasia, which underwent subsequent surgical excision. The extent and percentage of microcalcifications sampled by directional vacuum-assisted biopsy were evaluated by mammography.

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Rationale And Objectives: To investigate the potential usefulness of computer-aided diagnosis as a tool for radiologists in the characterization and classification of mass lesions on ultrasound.

Materials And Methods: Previously, a computerized method for the automatic classification of breast lesions on ultrasound was developed. The computerized method includes automatic segmentation of the lesion from the ultrasound image background and automatic extraction of four features related to lesion shape, margin, texture, and posterior acoustic behavior.

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We present a computer-aided diagnosis (CAD) method for breast lesions on ultrasound that is based on the automatic segmentation of lesions and the automatic extraction of four features related to the lesion shape, margin, texture, and posterior acoustic behavior. Using a database of 400 cases (94 malignant lesions, 124 complex cysts, and 182 benign solid lesions), we investigate the marginal benefit of each feature in our CAD method and the performance of our CAD method in distinguishing malignant lesions from various classes of benign lesions. Finally, independent validation is performed on our CAD method.

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Objective: The goal of this study was to evaluate the difference in patient satisfaction, timeliness of reporting, patient recollection of recommendations, and patient anxiety before and after passage of the Mammography Quality Standards Reauthorization Act of 1998, which requires written notification of all mammographic results.

Materials And Methods: We used a telephone survey with sampling that was stratified to reflect patients with normal and abnormal findings who had screening and diagnostic mammograms. Patients with visits before the mandate became effective (April 1999, n = 298) and after (January 2000, n = 316) were interviewed about the average time to receive results, satisfaction with communication about results, anxiety, and perceived follow-up recommendations.

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