Fluorescence imaging of MALAT1 expression using a Cy5.5-labeled antisense oligonucleotide in lung cancer and epidermal carcinoma cells.

Background: The long noncoding RNA Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1) has been extensively studied as an oncogenic factor. Antisense oligonucleotides (ASOs) labeled with the Cyanine5.5 (Cy5.

Comparative Imaging Analysis of Kimura's Disease Using F-FDG PET/CT and [F]AlF-NOTA-FAPI-04 PET/CT.

Kimura's disease is a rare, chronic inflammatory disorder characterized by subcutaneous nodules, eosinophilia, and elevated serum IgE levels. It commonly affects young Asian males and typically presents in the head and neck region. Diagnosis is confirmed via histopathological examination, while treatment options include corticosteroids, surgery, and radiotherapy.

18 F-FAPI PET/CT Imaging in a Case of Synovial Sarcoma.

Synovial sarcoma is a rare malignancy of mesenchymal origin, known for its propensity for metastasis and challenging early diagnosis, primarily affecting adolescents and young adults. This case report illustrates the utility of 18 F-fibroblast activation protein inhibitor PET/CT in an 18-year-old woman with synovial sarcoma primarily located in the left calf and metastases in the left thoracic cavity.

A fibrodysplasia ossificans progressiva patient with a rare missense mutation in ACVR1 detected on F-FDG PET/CT.

Fibrodysplasia ossificans progressiva (FOP) is an exceedingly rare human genetic disorder characterized by the progressive and incapacitating formation of ectopic bone outside the skeleton. We report a case of FOP patient with mutations within the ACVR1 gene (c.982G>A; p.

TNLRS: Target-Aware Non-local Low-Rank Modeling with Saliency Filtering Regularization for Infrared Small Target Detection.

Recently, infrared small target detection problem has attracted substantial attention. Many works based on local low-rank model have been proven to be very successful for enhancing the discriminability during detection. However, these methods construct patches by traversing local images and ignore the correlations among different patches.