Purpose: To report a case of non-paraneoplastic Auto-immune retinopathy (npAIR) in a paediatric patient who showed excellent visual recovery with early diagnosis and prompt treatment.
Methods: Retrospective Case report.
Results: A five year old girl presented to us with bilateral profound vision loss of sub-acute onset following an episode of high fever, without any previous visual abnormality. A diagnosis of npAIR was made based on history, clinical findings and multimodal imaging. Intravenous methylprednisolone was started urgently followed by oral steroid. Visual acuity showed good improvement along with gradual restoration of anatomy of retinal layers in Optical Coherence Tomography (OCT) over a period of three months.
Conclusion: Our case highlights the importance of suspecting npAIR in paediatric patients presenting with sudden bilateral painless progressive loss of vision without prior visual difficulties and the role of multimodal imaging to aid in diagnosis. The recovery of vision with restoration of photoreceptor layer also shows the nature of the disease to recover with early intervention despite a negative anti-retinal antibody test but with features highly suggestive of npAIR.
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http://dx.doi.org/10.1097/ICB.0000000000001465 | DOI Listing |
EClinicalMedicine
August 2024
Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, United Kingdom.
Background: Predicting dementia early has major implications for clinical management and patient outcomes. Yet, we still lack sensitive tools for stratifying patients early, resulting in patients being undiagnosed or wrongly diagnosed. Despite rapid expansion in machine learning models for dementia prediction, limited model interpretability and generalizability impede translation to the clinic.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Center for AIE Research, Guangdong Provincial Key Laboratory of New Energy Materials Service Safety, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, P. R. China.
Developing small organic molecular phototheranostic agents with second near-infrared (NIR-II) aggregation-induced emission (AIE) is paramount for the phototriggered diagnostic imaging and synchronous in situ therapy of cancer via an excellent balance of the excited states energy dissipations. In this study, a multifunctional iridium(III) complex is exploited by the coordination of an AIE-active N^N ancillary ligand with a trivalent iridium ion. The resultant complex DPTPzIr significantly outperforms its parent ligand in terms of absorption/emission wavelengths, reactive oxygen species (ROS) production, and photothermal conversion, which simultaneously endow DPTPzIr nanoparticles with matched absorption peak to commercial 808 nm laser, the longest NIR-II emission peak (above 1100 nm) among those previously reported AIE iridium(III) complexes, potentiated type-I ROS generation, and as high as 60.
View Article and Find Full Text PDFCereb Cortex
January 2025
Department of Clinical Psychology, The First People's Hospital of Yunnan Province of the Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650223, China.
Childhood maltreatment (CM) is a major risk factor for numerous mental disorders. The long-term consequences of CM on brain structural and functional plasticity have been well documented. However, the neurophysiological biotypes of CM remain unclear although the childhood trauma questionnaire uses different dimensions to assess trauma types.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China.
The automated diagnosis of low-resolution and difficult-to-recognize breast ultrasound images through multi-modal fusion holds significant clinical value. However, prevailing fusion methods predominantly rely on image modalities, neglecting the textual pathology information, and only benign and malignant diagnosis of breast tumors is not satisfying for clinical applications. Consequently, this paper proposes a novel multi-modal fusion interactive diagnostic framework, termed the MIC framework, to achieve the multi-label classification of breast cancer, namely benign-malignant classification and breast imaging reporting and data system (BI-RADS) 3, 4a, 4b, 4c, and 5 gradings.
View Article and Find Full Text PDFSci Rep
January 2025
ADAPT Research Centre, School of Computer Science, University of Galway, Galway, Ireland.
This study utilizes the Breast Ultrasound Image (BUSI) dataset to present a deep learning technique for breast tumor segmentation based on a modified UNet architecture. To improve segmentation accuracy, the model integrates attention mechanisms, such as the Convolutional Block Attention Module (CBAM) and Non-Local Attention, with advanced encoder architectures, including ResNet, DenseNet, and EfficientNet. These attention mechanisms enable the model to focus more effectively on relevant tumor areas, resulting in significant performance improvements.
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