Objective: Several studies have been published regarding the use of bismuth shielding to protect the breast in computed tomography (CT) scans and, up to the writing of this article, only one publication about barium shielding was found. The present study was aimed at characterizing, for the first time, a lead breast shielding.
Materials And Methods: The percentage dose reduction and the influence of the shielding on quantitative imaging parameters were evaluated. Dose measurements were made on a CT equipment with the aid of specific phantoms and radiation detectors. A processing software assisted in the qualitative analysis evaluating variations in average CT number and noise on images.
Results: The authors observed a reduction in entrance dose by 30% and in CTDIvol by 17%. In all measurements, in agreement with studies in the literature, the utilization of cotton fiber as spacer object reduced significantly the presence of artifacts on the images. All the measurements demonstrated increase in the average CT number and noise on the images with the presence of the shielding.
Conclusion: As expected, the data observed with the use of lead shielding were of the same order as those found in the literature about bismuth shielding.
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http://dx.doi.org/10.1590/0100-3984.2013.1861 | DOI Listing |
Bull Math Biol
January 2025
CFisUC, Department of Physics, University of Coimbra, Rua Larga, 3004-516, Coimbra, Portugal.
Hereditary diffuse gastric cancer is characterized by an increased risk of diffuse gastric cancer and lobular breast cancer, and is caused by pathogenic germline variants of E-cadherin and -E-catenin, which are key regulators of cell-cell adhesion. However, how the loss of cell-cell adhesion promotes cell dissemination remains to be fully understood. Therefore, a three-dimensional computer model was developed to describe the initial steps of diffuse gastric cancer development.
View Article and Find Full Text PDFJ Med Chem
January 2025
Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China.
CDK4/6 inhibitors are effective in treating HR/HER2 breast cancer but face limitations due to therapeutic resistance and hematological toxicity, particularly from strong CDK6 inhibition. To address these challenges, designing selective inhibitors targeting specific cyclin-dependent kinases (CDK) members could offer clinical advantages and broaden CDK inhibitor indications. However, the highly conserved binding pockets of CDKs complicate selective targeting.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
January 2025
Obstetrics and Gynecology Department, Tehran University of Medical Sciences, Tehran, Iran.
Breast cancer is the most frequent non-dermatologic malignancy in women. Breast cancer is characterized by the expression of the human epidermal growth factor receptor type 2 (HER2), and the presence or lack of estrogen receptor (ER) and progesterone receptor (PR) expression. HER2 overexpression is reported in about 20 to 25% of breast cancer patients, which is usually linked to cancer progression, metastases, and poor survival.
View Article and Find Full Text PDFDan Med J
November 2024
Danish Breast Cancer Group, Department of Oncology, Copenhagen University Hospital - Rigshospitalet.
Introduction: Most postmenopausal women with early-stage oestrogen receptor-positive breast cancer are allocated to five years of endocrine therapy. This treatment is not without adverse effects, which may lead to treatment discontinuation. This study aimed to assess compliance with endocrine therapy among postmenopausal women with early-stage oestrogen receptor-positive breast cancer and examine its association with disease-free survival.
View Article and Find Full Text PDFInt J Biol Sci
January 2025
Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Accurate diagnosis and assessment of breast cancer treatment responses are critical challenges in clinical practice, influencing patient treatment strategies and ultimately long-term prognosis. Currently, diagnosing breast cancer and evaluating the efficacy of neoadjuvant immunotherapy (NAIT) primarily rely on pathological identification of tumor cell morphology, count, and arrangement. However, when tumors are small, the tumors and tumor beds are difficult to detect; relying solely on tumor cell identification may lead to false negatives.
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