Clinical Characteristics According to the Radiological Classifications of Maxillary Sinus Fungus Ball

Background and Objectives The purpose of this study was to classify radiological findings of patients diagnosed with maxillary sinus fungus ball and to analyze the differences in surgical approach methods and postoperative results. Methods As a retrospective study, we reviewed the medical records of 221 patients (unilateral in 216: bilateral in 5). Results On computed tomography (CT), 49% of the lesions had an irregular surface or a protruding part. There was a significant difference in surgical approach according to pneumatization of the maxillary sinus when middle meatal antrostomy (MMA) was performed alone or combined with MMA and inferior meatal antrostomy (IMA) (p=0.042). Extension of a maxillary sinus lesion caused by fungus ball was not associated with stenosis of the MMA (p=0.328). Conclusion Diagnosis of maxillary sinus fungus on CT was associated with irregular lesion surface or a protruding calcification. In patients with fungus ball of the maxillary sinus, the more severe is the maxillary sinus pneumatization, the larger is the extent of IMA needed

Complete Laryngotracheal Separation Following Attempted Hanging

Laryngotracheal separation (LTS) is the most immediately life-threatening airway injury. LTS is so rare that very few otolaryngologists have experience with it. LTS is one of the diagnostic and therapeutic challenges in airway diseases and its management remains to be established. We experienced a patient with complete LTS after attempted hanging. A high index of suspicion, adequate imaging, prompt airway establishment and early surgical repair are the most vital factors in managing a patient with LTS

Multiple cerebral infarction and paradoxical air embolism during hepatectomy using the Cavitron Ultrasonic Surgical Aspirator -A case report-

A venous air embolism and paradoxical air embolism (PAE) are serious complications in patients undergoing a hepatectomy. We report a case of PAE and cerebral infarctions in a patient undergoing a hepatic resection using a Cavitron Ultrasonic Surgical Aspirator (CUSA®). A 65-year-old woman underwent a left lobe hepatectomy. During the middle phase of the liver resection with CUSA®, there was a sudden decrease in arterial blood pressure, end-tidal carbon dioxide and SpO2. With resuscitation, intraoperative ultrasonography revealed massive air emboli in both her left and right heart, which lasted for 40 min. The hepatectomy was completed after the disappearance of the air emboli from her heart. After surgery, her mental status was stuporous. The brain CT and MRI revealed multiple acute cerebral infarctions. Finally, she died from septic shock. This case highlights the need for anesthetists and surgeons to be aware of the potential for CUSA®-related massive PAE

Psychiatric understanding and treatment of patients with amputations

Amputation changes the lives of patients and their families. Consequently, the patient must adapt to altered body function and image. During this adaptation process, psychological problems, such as depression, anxiety, and posttraumatic stress disorder, can occur. The psychological difficulties of patients with amputation are often accepted as normal responses that are often poorly recognized by patients, family members, and their primary physicians. Psychological problems can interfere with rehabilitation and cause additional psychosocial problems. Therefore, their early detection and treatment are important. A multidisciplinary team approach, including mental health professionals, is ideal for comprehensive and biopsychosocial management. Mental health professionals could help patients set realistic goals and use adaptive coping styles. Psychiatric approaches should consider the physical, cognitive, psychological, social, and spiritual functions and social support systems before and after amputation. The abilities and limitations of physical, cognitive, psychological, and social functions should also be considered. To improve the patient’s adaptation, psychological interventions such as short-term psychotherapy, cognitive behavioral therapy, mindfulness meditation, biofeedback, and group psychotherapy can be helpful

A CREDENCE Trial Substudy

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.OBJECTIVES: The study compared the performance for detection and grading of coronary stenoses using artificial intelligence-enabled quantitative coronary computed tomography angiography (AI-QCT) analyses to core lab-interpreted coronary computed tomography angiography (CTA), core lab quantitative coronary angiography (QCA), and invasive fractional flow reserve (FFR). BACKGROUND: Clinical reads of coronary CTA, especially by less experienced readers, may result in overestimation of coronary artery disease stenosis severity compared with expert interpretation. AI-based solutions applied to coronary CTA may overcome these limitations. METHODS: Coronary CTA, FFR, and QCA data from 303 stable patients (64 ± 10 years of age, 71% male) from the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic DEtermiNants of Myocardial IsChEmia) trial were retrospectively analyzed using an Food and Drug Administration-cleared cloud-based software that performs AI-enabled coronary segmentation, lumen and vessel wall determination, plaque quantification and characterization, and stenosis determination. RESULTS: Disease prevalence was high, with 32.0%, 35.0%, 21.0%, and 13.0% demonstrating ≥50% stenosis in 0, 1, 2, and 3 coronary vessel territories, respectively. Average AI-QCT analysis time was 10.3 ± 2.7 minutes. AI-QCT evaluation demonstrated per-patient sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 94%, 68%, 81%, 90%, and 84%, respectively, for ≥50% stenosis, and of 94%, 82%, 69%, 97%, and 86%, respectively, for detection of ≥70% stenosis. There was high correlation between stenosis detected on AI-QCT evaluation vs QCA on a per-vessel and per-patient basis (intraclass correlation coefficient = 0.73 and 0.73, respectively; P < 0.001 for both). False positive AI-QCT findings were noted in in 62 of 848 (7.3%) vessels (stenosis of ≥70% by AI-QCT and QCA of <70%); however, 41 (66.1%) of these had an FFR of <0.8. CONCLUSIONS: A novel AI-based evaluation of coronary CTA enables rapid and accurate identification and exclusion of high-grade stenosis and with close agreement to blinded, core lab-interpreted quantitative coronary angiography. (Computed TomogRaphic Evaluation of Atherosclerotic DEtermiNants of Myocardial IsChEmia [CREDENCE]; NCT02173275).proofepub_ahead_of_prin