Study Objectives: To evaluate the accuracy of magnetic resonance imaging (MRI) for diagnosing nodular adenomyosis by percutaneous myometrial biopsies.
Design: Prospective observational study.
Setting: Gynecology department of community hospitals.
Patients: Twenty women with severe dysmenorrhea, chronic menorrhagia, and an MRI diagnosis of adenomyomata.
Interventions: Several laparoscopically guided, percutaneous myometrial biopsy specimens were taken in an attempt to confirm histologically an MRI diagnosis of adenomyoma; and resectoscopic endomyometrial biopsy specimens were taken in an attempt to confirm an MRI diagnosis of adenomyosis.
Measurements And Main Results: Eighteen (90%) of the 20 women had an MRI diagnosis of adenomyosis histologically confirmed by myometrial biopsy. The remaining two (20.0%) had an MRI diagnosis of adenomyosis histologically confirmed by endomyometrial biopsy.
Conclusions: An MRl diagnosis of adenomyoma was confirmed by transabdominal uterine biopsy in most patients. These results, when combined with those obtained by resectoscopic endomyometrial biopsy, established a diagnosis of adenomyosis in all patients.
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http://dx.doi.org/10.1016/s1074-3804(96)80330-6 | DOI Listing |
BMC Infect Dis
January 2025
Postgraduate Union Training Base of Jinzhou Medical University, PLA Rocket Force Characteristic Medical Center, Beijing, China.
An increasing number of treatment guidelines recommend rapid initiation of antiretroviral therapy (ART) after the diagnosis of human immunodeficiency virus (HIV) infection. However, data on the association between rapid ART initiation and alterations in brain structure and function remain limited in people with HIV (PWH). A cross-sectional analysis was conducted on HIV-positive men who have sex with men (MSM) undergoing ART.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
Myelin abnormalities in white matter have been implicated in the pathophysiology of psychotic spectrum disorders (PSD), which are characterized by brain dysconnectivity as a core feature. Among evidence from in vivo MRI studies, diffusion imaging findings have largely supported disrupted white matter integrity in PSD; however, they are not specific to myelin changes. Using a multimodal imaging approach, the current study aimed to further delineate myelin and microstructural changes in the white matter of a young PSD cohort.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
Center for Interdisciplinary Digital Sciences (CIDS), Department Information Services and High-Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany.
Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. In this study, using an in-silico analysis, we aim to improve predictive power for TTR by considering the role of (i) prognostically relevant information available through diagnostics used in the current SoC, (ii) advanced image-based information not currently part of the standard diagnostic workup, such as tumor-normal tissue interface (edge) features and quantitative data specific to biopsy positions within the tumor, and (iii) information on tumor-associated macrophages.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but the parameter estimation may be hampered by the variability in the input data. In this study, we investigate the influence of inter-sequence, intra-observer, and inter-observer variability in input parameters on estimation of subject-specific model parameters using a previously developed approach for model-based analysis of data from 4D Flow MRI acquisitions and cuff pressure measurements. The investigated parameters describe left ventricular time-varying elastance and aortic compliance.
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