PURPOSE: Surgery is the primary curative treatment for colorectal cancer; however, it remains a frightening procedure that can cause stress and pain in affected patients. Therefore, patients typically experience significant anxiety during the preoperative period, which has been associated with poorer outcome after surgery. This study aimed to evaluate the effect of an Internet-based informational video on preoperative anxiety level in patients with colorectal cancer.
Anxiety ; Cognition Disorders ; Colorectal Neoplasms ; Depression ; Humans ; Internet ; Observational Study ; Outcome Assessment (Health Care) ; Postoperative Complications ; Preoperative Period ; Prospective Studies ; Social Media

Background: Genetic studies are clinically recommended in some cases of inherited arrhythmia syndromes. Nextgeneration sequencing (NGS) would be helpful because of its high analytical throughput and relative speed. This study aimed to assess the mutation-detection yield obtained by NGS compared with conventional Sanger sequencing method. Methods: Patients with aborted sudden cardiac death and their families who underwent gene sequencing tests for inherited arrhythmia syndromes were retrospectively and enrolled in this study from 2017 to 2022 at Chonnam National University Hospital. We evaluated NGS study results of 17 patients (NGS group) and Sanger study results of 19 patients (Sanger group). Results: 64.7% of NGS and 94.7% of Sanger group were probands. Type 1 Brugada pattern ECG was more frequent in NGS group (64.7% vs. 21.1%; p = 0.007). BrS was the most common disorder in NGS group (76.5%), and idiopathic ventricular fibrillation was the most common one in Sanger group (63.2%). Mutations with uncertain significance were the most common ones in NGS group (89.5%), and pathogenic or likely pathogenic mutations were the most common ones in Sanger group (45.7%). When positive yield was defined as the ratio of pathogenic or likely pathogenic mutations that were detected by sequencing, the yields were 10.5% and 45.7% in NGS and Sanger groups, respectively. The NGS arrhythmia panel did not cover two inherited arrhythmia-related mutations (RYR1, APOA5) that were detected by the Sanger method. The extended NGS arrhythmia panel was able to detect 84.8% of inherited arrhythmia-related mutations that were detected in Sanger group. Conclusions NGS study has some limitations in obtaining the full genetic data of probands. Well-designed NGS panels are needed to increase the efficiency of the NGS study. With the well-designed panels, large-scale gene sequencing can efficiently and rapidly be applied in real clinical practices, especially in inherited fatal arrhythmia syndromes that have a high detection yield in genetic analyses.

BACKGROUND: Iron oxide nanoparticles (IONPs) are excellent candidates for biomedical imaging because of unique characteristics like enhanced colloidal stability and excellent in vivo biocompatibility. Over the last decade, material scientists have developed IONPs with better imaging and enhanced optical absorbance properties by tuning their sizes, shape, phases, and surface characterizations. Since IONPs could be detected with magnetic resonance imaging, various attempts have been made to combine other imaging modalities, thereby creating a high-resolution imaging platform. Composite IONPs (CIONPs) comprising IONP cores with polymeric or inorganic coatings have recently been documented as a promising modality for therapeutic applications. METHODS: In this review, we provide an overview of the recent advances in CIONPs for multimodal imaging and focus on the therapeutic applications of CIONPs. RESULTS: CIONPs with phototherapeutics, IONP-based nanoparticles are used for theranostic application via imaging guided photothermal therapy. CONCLUSION: CIONP-based nanoparticles are known for theranostic application, longstanding effects of composite NPs in in vivo systems should also be studied. Once such issues are fixed, multifunctional CIONP-based applications can be extended for theranostics of diverse medical diseases in the future.
Colloids ; Iron ; Magnetic Resonance Imaging ; Multimodal Imaging ; Nanoparticles ; Optical Imaging ; Polymers ; Theranostic Nanomedicine ; Ultrasonography