Background: Single-photon emission computed tomography (SPECT) analysis relies on qualitative visual assessment or semi-quantitative measures like total perfusion deficit that play a critical role in the non-invasive diagnosis of coronary artery disease by assessing regional blood flow abnormalities. Recently, machine learning (ML) -based analysis of SPECT images for coronary artery disease diagnosis has shown promise, with its utility in predicting long-term patient outcomes (prognosis) remaining an active area of investigation. In this review, we comprehensively examine the current landscape of ML-based analysis of SPECT imaging with an emphasis on prognostication of coronary artery disease.
View Article and Find Full Text PDFPurpose: There are limited data on prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/CT for workup of recurrence after radical prostatectomy (RP) at low PSA values. We evaluated a PSMA PET/CT cohort of patients post RP, focusing on patients with PSA < 0.5 ng/mL.
View Article and Find Full Text PDFIntroduction: Chronic urticaria requires well-defined treatment strategies in order to achieve a maximum treatment response and maintain the quality of life. Since 2014, omalizumab has been used in chronic urticaria. However, many studies showed that some patients are resistant to omalizumab.
View Article and Find Full Text PDFObjectives: This study aimed to evaluate serum biomarker values measured during second-trimester aneuploidy screening in terms of their predictive ability for the development of retinopathy of prematurity (ROP) in premature infants.
Methods: This retrospective cohort study evaluated the data of 1985 idiopathic premature infants who underwent ROP screening from 2016 to 2022. The infants were divided into two groups according to the presence of ROP, and those with ROP were further evaluated in two subgroups based on the presence of proliferation.