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Purpose: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pelvic lymph node dissection (ePLND) by preoperative nomograms.

Methods: [Ga]Ga-PSMA-617 PET/CT scan of 116 eligible PCa patients (82 in the training cohort and 34 in the test cohort) who underwent radical prostatectomy with ePLND were analyzed in our study. The Med3D deep learning network was utilized to extract discriminative features from the entire prostate volume of interest on the PET/CT images.

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Background: Interstitial cystitis/bladder pain syndrome (IC/BPS) is a multifactorial, chronic syndrome involving urinary frequency, urgency, and bladder discomfort. These IC/BPS symptoms can significantly impact individuals' quality of life, affecting their mental, physical, sexual, and financial well-being. Individuals sometimes rely on peer-to-peer support to understand the disease and find methods of alleviating symptoms.

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Aims: Metformin has shown beneficial effects on reproduction in women. However, its use during pregnancy remains controversial, as metformin can cross the placenta. Most studies have focused on the metabolic impact on the offspring of treated mothers, with limited information regarding its reproductive effects.

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Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Southeast University, Nanjing 210096, China. Electronic address:

The programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) axis mediates immune evasion of tumor, and targeting this axis has achieved some clinical benefits. The regulation of PD-1 expression in immune cells has been well studied. However, whether any other potential source of immune cell-expressed PD-1 exists remains unknown.

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Integrating Nutritional Status and Hematological Biomarkers for Enhanced Prognosis Prediction in Glioma Patients: A Systematic Review.

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Department of Experimental and Clinical Biomedical sciences "Mario Serio", University of Florence, Florence, Italy; Azienda Ospedaliero-Universitaria Careggi, Radiation Oncology Unit, Florence, Italy.

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Materials And Methods: Our systematic review conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

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