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Discriminatory power of trabeculectomy bleb internal reflectivity and morphology in surgical success using anterior segment optical coherence tomography.
BMC Ophthalmol
January 2025
St Paul's Eye Unit, Royal Liverpool University Hospital, Liverpool, UK.
Background: The post-operative evaluation of trabeculectomy blebs has traditionally relied on subjective clinical grading systems performed at the slit-lamp. This study explores the use of swept source anterior-segment optical coherence tomography (AS-OCT) to objectively measure bleb internal reflectivity and morphology, and to distinguish blebs with surgical success vs. failure.
View Article and Find Full Text PDFComparisons among radiologist, MR findings and radiomics-clinical models in predicting placenta accreta spectrum disorders: a multicenter study.
Arch Gynecol Obstet
January 2025
Department of Radiology, First People's Hospital of Shangqiu, Shangqiu, 476000, China.
Objective: To assess and compare the diagnostic accuracy of radiologist, MR findings, and radiomics-clinical models in the diagnosis of placental implantation disorders.
Methods: Retrospective collection of MR images from patients suspected of having placenta accreta spectrum (PAS) was conducted across three institutions: Institution I (n = 505), Institution II (n = 67), and Institution III (n = 58). Data from Institution I were utilized to form a training set, while data from Institutions II and III served as an external test set.
Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.
Eur Radiol Exp
January 2025
IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Background: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores the use of GANs to generate synthetic sagittal radiographs from coronal views in AIS patients.
View Article and Find Full Text PDFIntegration of MRI radiomics and clinical data for preoperative prediction of vascular invasion in breast cancer: A deep learning approach.
Magn Reson Imaging
January 2025
GE Healthcare, Guangzhou 510623, China.
Background: Accurate preoperative prediction of vascular invasion in breast cancer is crucial for surgical planning and patient management. MRI radiomics has shown promise in enhancing diagnostic precision. This study aims to evaluate the effectiveness of integrating MRI radiomic features with clinical data using a deep learning approach to predict vascular invasion in breast cancer patients.
View Article and Find Full Text PDFFirst trimester cervical angles for the prediction of spontaneous preterm birth.
Eur J Obstet Gynecol Reprod Biol
January 2025
Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China; Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China. Electronic address:
Objective: First trimester cervical angles for the prediction of spontaneous preterm birth (sPTB) remains unclear. The objective is to explore the potential value of first trimester cervical angles for the prediction of sPTB.
Study Design: This was a secondary analysis of data derived from a prospective cohort study for sPTB screening in singleton pregnancies at 11 + 0-13 + 6 weeks in women attending routine Down's syndrome screening at Prince of Wales Hospital, Hong Kong SAR, between June 2018 and July 2020.
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