Purpose: To develop a new classification system for vitreomacular traction (VMT) syndrome according to spectral-domain optical coherence tomography (SD-OCT) imaging and to investigate the clinical course of VMT patients.
Methods: This study included 68 eyes of 68 consecutive patients who were followed with observation or treated with vitrectomy for idiopathic VMT. Eyes were classified into one of three groups according to SD-OCT findings: group A (foveal pseudocyst, which was defined as the formation of cystoid cavity located in the inner part of the central fovea along with foveal thickening), group B (parafoveal retinoschisis, which was defined as intraretinal cysts or clefts along with no apparent foveal thickening), and group C (outer retinal dehiscence at the fovea, which is sometimes accompanied by foveal thinning). The minimum required follow-up period was 1 year. Clinical course and anatomical and functional outcomes were compared among the groups.
Results: Twenty-seven eyes (39.7%) were included in group A, 22 eyes (32.4%) were included in group B, and 19 eyes (27.9%) were included in group C. Among the 24 eyes that were managed by observation, a significantly larger percentage of patients in group A (6/10 [60%]) exhibited more spontaneous resolution of VMT compared with those in groups B (9.1%) or C (0%) (P = 0.010). In the 44 eyes that were managed with vitrectomy, a significantly larger percentage of patients in group C (4/16 [25%]) experienced subsequent full-thickness macular hole development following vitrectomy compared with those in groups B (0%) or C (0%) (P = 0.014). The percentage of patients with photoreceptor inner segment/outer segment disruption was significantly reduced in group A after vitrectomy, with group C exhibiting the lowest recovery rate. Postoperatively, group A experienced a significantly better visual outcome than group C (P = 0.021).
Conclusions: A novel configuration system offering insight into the clinical course of VMT is proposed. According to this system, anatomical and functional outcomes were favorable in group A and worse in group C.
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http://dx.doi.org/10.1007/s00417-019-04352-9 | DOI Listing |
Adv Sci (Weinh)
January 2025
Institute of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Department of Orthopedic Surgery, Hangzhou Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Hangzhou, 310000, China.
Osteoarthritis (OA) is a globally prevalent degenerative joint disease. Recent studies highlight the role of ferroptosis in OA progression. Targeting ferroptosis regulation presents a promising therapeutic strategy for OA; however, current research primarily focuses on single targets associated with ferroptosis.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, 210009, P. R. China.
Patients with ulcerative colitis (UC) have a higher risk of developing colorectal cancer (CRC), however, the metabolic shifts during the UC-to-CRC transition remain elusive. In this study, an AOM-DSS-induced three-stage colitis-associated colorectal cancer (CAC) model is constructed and targeted metabolomics analysis and pathway enrichment are performed, uncovering the metabolic changes in this transition. Spatial metabolic trajectories in the "normal-to-normal adjacent tissue (NAT)-to-tumor" transition, and temporal metabolic trajectories in the "colitis-to-dysplasia-to-carcinoma" transition are identified through K-means clustering of 74 spatially and 77 temporally differential metabolites, respectively.
View Article and Find Full Text PDFMol Oncol
January 2025
Urologic Oncology Research Group, Cancer Research Program, Research Institute of the McGill University Health Center, Montreal, Canada.
Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts.
View Article and Find Full Text PDFJ Oral Microbiol
January 2025
Integrative Microecology Clinical Center, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Technology Research Center of Gut Microbiota Transplantation, The Clinical Innovation & Research Center, Shenzhen Key Laboratory of Viral Oncology, Department of Clinical Nutrition, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Background: This study aims to develop an oral microbiota-based model for gastric cancer (GC) risk stratification and prognosis prediction.
Methods: Oral microbial markers for GC prognosis and risk stratification were identified from 99 GC patients, and their predictive potential was validated on an external dataset of 111 GC patients. The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.
Am J Nucl Med Mol Imaging
December 2024
Department of Radiology, University of Pennsylvania Philadelphia, PA 19104, USA.
This review assesses the primary neuroimaging techniques used to evaluate Parkinson's disease (PD) - a neurological condition characterized by gradual dopamine-producing nerve cell degeneration. The neuroimaging techniques explored include positron emission tomography (PET), single-photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI). These modalities offer varying degrees of insights into PD pathophysiology, diagnostic accuracy, specificity by way of exclusion of other Parkinsonian syndromes, and monitoring of disease progression.
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