The broad spectrum of thyroid disease severity--from subclinical hypothyroidism to myxedema coma, subclinical thyrotoxicosis to thyroid storm, and microscopic papillary to anaplastic cancers--has always demanded that clinicians individualize their management of thyroid patients. Deepening knowledge of thyroid pathophysiology along with advances in diagnostic, prognostic, and therapeutic technologies applicable to thyroid diseases position this field to ride the wave of precision medicine in the decade ahead.
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http://dx.doi.org/10.1210/jc.2015-3695 | DOI Listing |
J Clin Sleep Med
January 2025
Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France.
Study Objectives: Both the (ICSD) and the sleep-wake disorders section of the (DSM) emphasize the importance of clinical judgment in distinguishing the normal from the pathological in sleep medicine. The fourth edition of the DSM (DSM-IV, 1994) introduced the clinical significance criterion (CSC) to standardize this judgment and enhance diagnostic reliability.
Methods: This review conducts a theoretical and historical content analysis of CSC presence, frequency, and formulation in the diagnostic criteria of sleep disorders.
BMC Musculoskelet Disord
January 2025
Department of Orthopedics, Peking University Third Hospital, No. 49. North Garden Street, Hai Dian District, Beijing, 100191, People's Republic of China.
Background: For degenerative lumbar scoliosis (DLS), prior studies mainly focused on the preoperative relationship between spinopelvic parameters and health-related quality of life (HRQoL), lacking an exhaustive evaluation of the postoperative situation. Therefore, the postoperative parameters most closely bonded with clinical outcomes has not yet been well-defined in DLS patients. The objective of this study was to comprehensively assess the correlation between radiographic parameters and HRQoL before and after surgery, and to identified the most valuable spinopelvic parameters for postoperative curative effect.
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January 2025
Department of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.
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January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFNat Commun
January 2025
Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Gut microbiota disruptions after allogeneic hematopoietic cell transplantation (alloHCT) are associated with increased risk of acute graft-versus-host disease (aGVHD). We designed a randomized, double-blind placebo-controlled trial to test whether healthy-donor fecal microbiota transplantation (FMT) early after alloHCT reduces the incidence of severe aGVHD. Here, we report the results from the single-arm run-in phase which identified the best of 3 stool donors for the randomized phase.
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