A prospective study was made of scintimammographic findings obtained in 75 patients with minimal mammographic or physical examination findings. Patients included those with a new mammographic nodule or density (n = 33), indeterminate calcifications (n = 15), a palpable abnormality with normal mammographic findings and normal or inconclusive ultrasonographic findings (n = 13), or a new lump or mammographic change at the site of prior surgery (n = 14). A positive scintimammographic focus was defined as a discrete, rounded lesion with increased uptake and could have an intensity ranging from low to very high. Of the 30 cancers diagnosed, 27 demonstrated a positive scintimammographic focus. Eight of these foci represented occult cancers that were not identified at mammography or physical examination, and 11 were smaller than 1 cm (down to 4 mm). The overall sensitivity and specificity of scintimammography were 90% and 93.8%, respectively, which suggests that this modality may be useful in the early detection of breast cancer. It can also help distinguish postsurgical and post-radiation therapy changes from carcinoma and may be of value in certain high-risk patients. Scintimammography is a useful, noninvasive method of evaluating patients with low-suspicion or indeterminate mammographic or palpable findings and can help detect additional small tumors.
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http://dx.doi.org/10.1148/radiographics.21.3.g01ma26641 | DOI Listing |
Cureus
December 2024
Department of Ophthalmology, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Jeddah, SAU.
Optic nerve disorders significantly contribute to visual impairment with irreversible visual deficits. Current treatments have limited efficacy in resolving chronic visual deficits, necessitating novel therapeutic strategies. Neurorehabilitation techniques, including repetitive transorbital alternating current stimulation (rtACS), have emerged as promising approaches to restore lost visual function through the ability to modulate brain activity.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Anesthesiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Totally implantable venous access port (TIVAP), a novel intravenous infusion system that is used for long-term intravenous treatment, has become increasingly popular among cancer patients undergoing chemotherapy and other patients requiring long-term intravenous infusions. This technology has been introduced into clinical practice in China, with successful results. Nevertheless, there are still certain problems; for instance, China has not set up a specialized regulatory agency to oversee research and set guidelines for the comprehensive life-cycle management of TIVAP.
View Article and Find Full Text PDFJACC Case Rep
January 2025
Section of Cardiovascular Diseases, White River Health, Batesville, Arkansas, USA.
Patients presenting with acute coronary syndrome with ST-segment elevation myocardial infarction require rapid and decisive interventions to restore blood flow to the affected myocardium, minimizing ischemic damage. This case report is particularly unique because it involves a patient presenting with ST-segment elevation myocardial infarction, where the culprit lesion was an occluded coronary artery graft with an extensive thrombus burden. The complexity of this case necessitated a strategic shift to revascularize the chronically occluded native vessel instead of the graft.
View Article and Find Full Text PDFTech Innov Patient Support Radiat Oncol
March 2025
Department of Radiation Oncology, Emory University, Atlanta, GA, USA.
Background: Recent patient studies have linked higher immune cell doses with worse quality of life and survival. For thoracic radiotherapy, heart dose is a major contributor to the effective dose to immune cells (EDIC).
Purpose: This study investigates heart and immune cell doses for plans optimized using a cardiac-sparing knowledge-based planning (KBP) model and the impact of carefully crafted beam geometry.
Arch Bone Jt Surg
January 2025
Orthopedic Research Center, Department of Orthopedic Surgery, Mashhad University of Medical Sciences, Mashhad, Iran.
Artificial Intelligence (AI) is rapidly transforming healthcare, particularly in orthopedics, by enhancing diagnostic accuracy, surgical planning, and personalized treatment. This review explores current applications of AI in orthopedics, focusing on its contributions to diagnostics and surgical procedures. Key methodologies such as artificial neural networks (ANNs), convolutional neural networks (CNNs), support vector machines (SVMs), and ensemble learning have significantly improved diagnostic precision and patient care.
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