Heterotopic calcification following head and neck irradiation has rarely been reported. It usually develops as a late complication of radiotherapy in patients with malignancies, including breast cancer, lymphoma, and genitourinary malignancies. The occurrence of heterotopic calcification in the prevertebral space of the cervical spine has not been described as a late complication of irradiation. Here, we report a case of prevertebral heterotopic calcification in a patient with history of chemotherapy and radiotherapy for tonsil cancer 21 years ago.
Aged ; Calcinosis/*etiology/pathology/radiography ; *Cervical Vertebrae/radiography ; Female ; Humans ; Ossification, Heterotopic/*etiology/radiography ; Radiation Injuries/complications ; Tomography, X-Ray Computed ; Tonsillar Neoplasms/*radiotherapy

PURPOSE: To assess the incidence of aspiration pneumonia in infants with cleft palate and to compare the incidence between complete and incomplete types of cleft palate. MATERIALS AND METHODS: A review of medical records revealed 100 infants who had undergone initial surgery to repair cleft palate in our hospital during a recent three-year period. Aspiration pneumonia was defined as the coexistence of pneumonia at chest radiography with a history of frequent choking during feeding. The anatomic distribution of aspiration pneumonia was analyzed, and the incidences of aspiration pneumonia in infants with complete and incomplete cleft palate were compared. RESULTS: Among 100 children, aspiration pneumonia was found in 35 (35%). Those with complete and incomplete cleft palate showed similar incidences of the condition (27 of 70 [39%] vs 8 of 30 [27%], p=0.36). Pneumonia was most commonly seen in the left lower lobe (11 of 35), followed by the right upper and lower lobes. CONCLUSION: Aspiration pneumonia is frequently associated with infants with cleft palate. There is no statistical difference in the incidence of aspiration pneumonia between the complete and the incomplete cleft palate group.
Airway Obstruction ; Child ; Cleft Palate* ; Humans ; Incidence ; Infant ; Medical Records ; Pneumonia ; Pneumonia, Aspiration* ; Radiography ; Thorax

On MRI, abnormal signals of the intervertebral disc, destruction of the upper and lower vertebral body endplate around the disc, and bone marrow edema around the endplate are considered typical findings of infectious spondylitis. These findings can also appear in various non-infectious spinal diseases, such as degenerative changes, acute Schmorl’s node, spondyloarthropathy, synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO), chronic recurrent multifocal osteomyelitis, and calcium pyrophosphate dihydrate crystal deposition disease. The imaging findings of infectious spondylitis that can be differentiated from these non-infectious spinal diseases on MRI are high signal intensity and abscess of the disc space, an abscess in the paraspinal soft tissue, and the loss of the linear low signal intensity on T1-weighted images of the bony endplate. However, these differentiation points do not always apply since there are many similarities in the imaging findings of infectious and non-infectious diseases. Therefore, for an accurate diagnosis, it is important to know the imaging characteristics related to the pathophysiology of not only infectious spondylitis but also non-infectious spinal diseases, which requires differentiation from infection.

OBJECTIVE: To assess the clinical efficacy and safety of intra-articular injection of hyaluronic acid (HA) combined with polydeoxyribonucleotide (PDRN) in patients with knee osteoarthritis in comparison with that of HA alone. METHODS: The current single-center, prospective, randomized, double-blind, controlled study was conducted in 36 patients with knee osteoarthritis at our medical institution. All the eligible patients (n=30) were equally assigned to two treatment arms (trial group ‘HA+PDRN’ and control group ‘HA’). For efficacy assessment, the patients were evaluated for the visual analogue scale (VAS) scores, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the Knee Society Scores (KSS), all of which served as efficacy outcome measures. We monitored time-dependent changes in efficacy outcome measures at baseline and 1, 3 and 6 months. Subsequently, we compared differences in changes in efficacy outcome measures at 6 months from baseline between the two groups. Moreover, we assessed the safety based on the treatment-emergent adverse events (TEAEs), adverse drug reactions (ADRs) and any other complications serving as safety outcome measures. RESULTS: There were significant differences in changes in the VAS scores, the WOMAC scores in all domains, except ‘Stiffness’, the total WOMAC scores, and the KSS scores in all the domains at 6 months from baseline between the two groups (p<0.05). In our series, there were no TEAEs, ADRs, and any other complications. CONCLUSION: Intra-articular injections of HA combined with PDRN can also be considered in the treatment of knee osteoarthritis. However, further large-scale and multi-center studies are required to demonstrate the potential of the proposed combination.
Arm ; Drug-Related Side Effects and Adverse Reactions ; Humans ; Hyaluronic Acid ; Injections, Intra-Articular ; Knee ; Ontario ; Osteoarthritis ; Osteoarthritis, Knee ; Outcome Assessment (Health Care) ; Polydeoxyribonucleotides ; Prospective Studies ; Treatment Outcome

OBJECTIVE: The point-of-care ultrasound of the airway (POCUS-A) is a useful examination method but there are currently no educational programs for medical students regarding it. We designed a POCUS-A training curriculum for medical students to improve three cognitive and psychomotor learning domains: knowledge of POCUS-A, image acquisition, and image interpretation.METHODS: Two hours of training were provided to 52 medical students in their emergency medicine (EM) rotation. Students were evaluated for cognitive and psychomotor skills before and immediately after the training. The validity measures were established with the help of six specialists and eight EM residents. A survey was administered following the curriculum.RESULTS: Cognitive skill significantly improved after the training (38.7±12.4 vs. 91.2±7.7) and there was no significant difference between medical students and EM residents in posttest scores (91.2±7.7 vs. 90.8±4.6). The success rate of overall POCUS-A performance was 95.8%. The students were confident to perform POCUS-A on an actual patient and strongly agreed to incorporate POCUS-A training in their medical school curriculum.CONCLUSION: Cognitive and psychomotor skills of POCUS-A among medical students can be improved via a limited curriculum on EM rotation.
Airway Management ; Curriculum ; Education ; Education, Medical ; Emergency Medicine ; Humans ; Learning ; Methods ; Pilot Projects ; Point-of-Care Systems ; Schools, Medical ; Specialization ; Students, Medical ; Ultrasonography

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Background: and Purpose The prevalence of Alzheimer’s dementia (AD) is increasing as populations age, causing immense suffering for patients, families, and communities. Unfortunately, no treatments for this neurodegenerative disease have been established. Predicting AD is therefore becoming more important, because early diagnosis is the best way to prevent its onset and delay its progression. Methods: Mild cognitive impairment (MCI) is the stage between normal cognition and AD, with large variations in its progression. The disease can be effectively managed by accurately predicting the probability of MCI progressing to AD over several years. In this study we used the Alzheimer’s Disease Neuroimaging Initiative dataset to predict the progression of MCI to AD over a 3-year period from baseline. We developed and compared various recurrent neural network (RNN) models to determine the predictive effectiveness of four neuropsychological (NP) tests and magnetic resonance imaging (MRI) data at baseline. Results: The experimental results confirmed that the Preclinical Alzheimer’s Cognitive Composite score was the most effective of the four NP tests, and that the prediction performance of the NP tests improved over time. Moreover, the gated recurrent unit model exhibited the best performance among the prediction models, with an average area under the receiver operating characteristic curve of 0.916 Conclusions Timely prediction of progression from MCI to AD can be achieved using a series of NP test results and an RNN, both with and without using the baseline MRI data.

Infectious arteritis is a rare complication of liver abscess, and infectious arteritis involving multiple arterial sites with pseudoaneurysm formation has not been described previously. A 74-year-old man treated for liver abscess complained of abdominal and neck pain. Abdominal computed tomographic angiography (CTA) revealed a decrease in the size of the liver abscess, but also disclosed a pseudoaneurysm in the distal descending thoracic aorta was newly noted. Neck CTA revealed arteritis with abscess formation in the left internal carotid artery (ICA). Follow-up CTA after antibiotic therapy showed a decrease in the size of the left ICA abscess and a significant increase in the size of the aortic pseudoaneurysm. To prevent the rupture of the pseudoaneurysm, an endovascular stent graft was used. The final CTA revealed the disappearance of the aortic pseudoaneurysm with good apposition of the grafted stent. The patient has been monitored for 3 years with no new clinical events.
Abscess ; Aged ; Aneurysm, False* ; Angiography ; Aorta, Thoracic ; Arteritis* ; Blood Vessel Prosthesis ; Carotid Artery, Internal ; Endovascular Procedures ; Follow-Up Studies ; Humans ; Liver Abscess* ; Neck ; Neck Pain ; Rupture ; Stents ; Transplants