Purpose: To analyze laparoscopically treated cases of adenomyosis based on intraoperative and histopathology findings and to correlate different types with patients' presenting symptoms and characteristics, as well as with the surgical approach.
Materials And Methods: Sixty-eight women who underwent laparoscopic treatment of adenomyosis at a referral center for gynecological laparoscopy.
Results: Four distinct types of adenomyosis could be identified: diffuse, sclerotic, nodular, and cystic (54.5%, 13%, 28%, and 4.5% of cases, respectively). Menorrhagia as the main presenting symptom was significantly more frequent in patients with the diffuse type (84%) compared to those with sclerotic (44%) and nodular (37%) types (p = 0.025 andp = 0.001, respectively). All cases of cystic and nodular adenomyosis were treated by laparoscopic excision of the lesion. Eighty-nine percent of patients with sclerotic adenomyosis were treated with wide laparoscopic excision of the abnormal tissue. Eighty-one percent of patients with diffuse adenomyosis were treated with laparoscopic hysterectomy.
Conclusions: Adenomyosis can be classified in four distinct types with differences in the presenting symptoms, as well as in the ideal surgical approach.
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Mol Neurodegener
January 2025
Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA.
Alzheimer's disease (AD) is a debilitating neurodegenerative disease that is marked by profound neurovascular dysfunction and significant cell-specific alterations in the brain vasculature. Recent advances in high throughput single-cell transcriptomics technology have enabled the study of the human brain vasculature at an unprecedented depth. Additionally, the understudied niche of cerebrovascular cells, such as endothelial and mural cells, and their subtypes have been scrutinized for understanding cellular and transcriptional heterogeneity in AD.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK; Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway. Electronic address:
Aside from typical motor symptoms, impulse control issues related to engaging in actions or decision-making can manifest in Parkinson's disease (PD). The lack of direct comparisons between impulsive action and impulsive choice domains hinders a comprehensive understanding of impaired impulse control in this population. Therefore, the current review integrates findings across behavioural measures of impulsive action and choice in PD samples, both on and off dopaminergic medication.
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January 2025
Center on Autobiographical Memory Research, Department of Psychology, Aarhus University, Denmark.
Involuntary autobiographical memories are memories of personal events that come to mind with no preceding retrieval attempts. They have been studied broadly in autobiographical memory for decades and shown to be common and mostly positive in everyday life. Clinical literature has focused on negative intrusive memories of stressful events and tended to neglect other forms of involuntary autobiographical memories.
View Article and Find Full Text PDFAnnu Rev Food Sci Technol
January 2025
4Division of Food and Nutrition, Chonnam National University, Gwangju, Republic of Korea; email:
Tea () is one of the most popular nonalcoholic beverages in the world, second only to water. Six main types of teas are produced globally: green, white, black, oolong, yellow, and Pu-erh. Each type has a distinctive taste, quality, and cultural significance.
View Article and Find Full Text PDFBiomed Phys Eng Express
January 2025
Applied Sciences, Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad, 211012, INDIA.
Photoacoustic tomography (PAT) is a non-destructive, non-ionizing, and rapidly expanding hybrid biomedical imaging technique, yet it faces challenges in obtaining clear images due to limited data from detectors or angles. As a result, the methodology suffers from significant streak artifacts and low-quality images. The integration of deep learning (DL), specifically convolutional neural networks (CNNs), has recently demonstrated powerful performance in various fields of PAT.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!