We report a case of cytomegalovirus retinitis in a hematopoietic stem cell transplant recipient during valganciclovir pre-emptive therapy followed by maribavir. Analysis of UL97 mutation revealed a C480F substitution associated with high maribavir resistance and low ganciclovir resistance.

We report a case of cytomegalovirus retinitis in a hematopoietic stem cell transplant recipient during valganciclovir pre-emptive therapy followed by maribavir. Analysis of UL97 mutation revealed a C480F substitution associated with high maribavir resistance and low ganciclovir resistance.

We report a case of cytomegalovirus retinitis in a hematopoietic stem cell transplant recipient during valganciclovir pre-emptive therapy followed by maribavir. Analysis of UL97 mutation revealed a C480F substitution associated with high maribavir resistance and low ganciclovir resistance.

Objective: : Post-stroke shoulder pain (PSSP) is a common complication that limits the range of motion (ROM) of the shoulder, the patient’s rehabilitation and in turn, affects the patients’ quality of life (QoL). Several treatment modalities such as sling, positioning, strapping, functional electrical stimulation, and nerve block have been suggested in literatures, however none of the treatments had long-term effects for PSSP. In this study, the authors evaluated clinical efficacy of pulsed radiofrequency (PRF) neuromodulation on the suprascapular nerve for PSSP, and suggested it as a potential treatment with long-term effect. Methods: : This retrospective case series was conducted at a single center, a private practice institution. From 2013 to 2021, 13 patients with PSSP underwent PRF neuromodulation of the suprascapular nerve. The primary outcome measure was the Visual analog scale (VAS) score. The secondary outcome measurements included the shoulder ROM, Disability assessment scale (DAS), modified Ashworth scale, modified Rankin scale (mRS), and EuroQol-5 dimension-3L questionnaire (EQ-5D-3L) scores. These parameters were evaluated before PRF modulation, immediately after PRF modulation, and every 3 months until the final follow-up visit. Results: : Six men and seven women were enrolled, and all patients were followed-up for a minimum of 12 months. The mean VAS score was 7.07 points before PRF neuromodulation and 2.38 points immediately post-procedure. Shoulder ROM for abduction and flexion, DAS for pain, mRS, and EQ-5D-3L demonstrated marked improvement. No complications were reported. Conclusion : PRF neuromodulation of the suprascapular nerve is an effective modality in patients with PSSP, and has long-term effect of pain relief, improvement of QoL.

Radiogenomics or imaging genomics is a novel omics strategy of associating imaging data with genetic information, which has the potential to advance personalized medicine. Imaging features extracted from PET or PET/CT enable assessment of in vivo functional and physiological activity and provide comprehensive tumor information non-invasively. However, PET features are considered secondary to features on conventional imaging, and there has not yet been a review of the radiogenomic approach using PET features. This review article summarizes the current state of PET-based radiogenomic research for cancer, which discusses some of its limitations and directions for future study.

PURPOSE: This study is to report clinical outcomes of salvage concurrent chemo-radiation therapy (CCRT) in treating patients with loco-regional recurrence (LRR) following initial complete resection of non-small cell lung cancer. MATERIALS AND METHODS: Between February 2004 and December 2016, 127 patients underwent salvage CCRT for LRR. The median radiation therapy (RT) dose was 66 Gy and clinical target volume was to cover recurrent lesion with margin without elective inclusion of regional lymphatics. Majority of patients (94.5%) received weekly platinum-based doublet chemotherapy during RT course. RESULTS: The median follow-up time from the start of CCRT was 25 months. The median survival duration was 49 months, and overall survival (OS) rates at 2 and 5 years were 72.9% and 43.9%. The 2- and 5-year rates of in-field failure-free survival, distant metastasis free survival, and progression free survival were 82.4% and 73.8%, 50.4% and 39.9%, and 34.6% and 22.3%, respectively. Grade ≥ 3 radiation-related esophagitis and pneumonitis occurred in 14 (11.0%) and six patients (4.7%), respectively. On both univariate and multivariate analysis, higher biologically equivalent dose (BED₁₀) (≥ 79.2 Gy₁₀ vs. < 79.2 Gy₁₀; hazard ratio [HR], 0.431), smaller CTV (≤ 80 cm³ vs. > 80 cm³; HR, 0.403), and longer disease-free interval (> 1 year vs. ≤ 1 year; HR, 0.489) were significantly favorable factors for OS. CONCLUSION: The current study has demonstrated that high dose salvage CCRT focused to the involved lesion only was highly effective and safe. In particular, higher BED₁₀, smaller CTV, and longer disease-free interval were favorable factors for improved survival.
Carcinoma, Non-Small-Cell Lung ; Disease-Free Survival ; Drug Therapy ; Esophagitis ; Follow-Up Studies ; Humans ; Multivariate Analysis ; Neoplasm Metastasis ; Pneumonia ; Recurrence

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models. METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning. RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively. CONCLUSIONS ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models.METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning.RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively.CONCLUSIONS: ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.
Classification ; Dataset ; Diagnosis ; Humans ; Lacrimal Apparatus Diseases ; Learning ; Logistic Models ; Machine Learning ; Nuclear Medicine ; Programming Languages ; Radionuclide Imaging

OBJECTIVES: The purpose of this study was to examine effects of adjunctive aripiprazole versus bupropion, on depressive symptoms of female depression.METHODS: Sixty six female patients with major depressive disorders were enrolled from a six-week, randomized prospective open-label multi-center study. Participants were randomized to receive aripiprazole (2.5–10 mg/day) or bupropion (150–300 mg/day). Montgomery Asberg Depression Rating Scale, 17-item Hamilton Depression Rating scale (HAM-D17), Iowa Fatigue Scale, Drug-Induced Extrapyramidal Symptoms Scale, Psychotropic-Related Sexual Dysfunction Questionnaire scores, and Clinical Global Impression-Severity (CGI-S) were obtained at baseline and after one, two, four, and six weeks. Changes on individual items of HAM-D17 were assessed as well as on composite scales (anxiety, insomnia and drive), and on four core subscales that capture core depression symptoms.RESULTS: Overall, both treatments improved depressive symptoms, without causing serious adverse events. There were significant differences in the HAM-D17 total score (p=0.046) and CGI-S (p=0.004), between aripiprazole and bupropion augmentation, favoring aripiprazole over bupropion. Aripiprazole revealed significantly greater effect size in depressed mood (p=0.006), retardation (p=0.005), anxiety psychic (p=0.032), and general somatic symptom (p=0.01).CONCLUSION: While both treatments were effective, results of this study suggested that aripiprazole may be preferable, in treating general and core symptoms of female depression.
Anxiety ; Aripiprazole ; Bupropion ; Depression ; Depressive Disorder, Major ; Depressive Disorder, Treatment-Resistant ; Fatigue ; Female ; Humans ; Iowa ; Prospective Studies ; Sleep Initiation and Maintenance Disorders ; Weights and Measures

Pediatric seat-belt fracture is a rare condition, and its management has not been well defined. The authors report a case of pediatric Chance fracture that was managed conservatively and that demonstrated rapid bone healing. A 7-year-old boy presented with back pain after a motor vehicle accident. Plain lumbar spine radiography, three-dimensional computed tomography (CT), and magnetic resonance imaging revealed a seat-belt fracture type C (classified by Rumball and Jarvis), and the patient's condition was managed conservatively. The patient started to ambulate with a brace 2 weeks after the injury. Spine CT performed 100 days after the injury revealed a remodeled fracture, and dynamic radiography did not show any evidence of instability or kyphotic deformity. We suggest that if there are no neurological deficits or severe deformities, then a pediatric seat-belt fracture should be managed conservatively, because the bone healing process is far more rapid in children than it is in adults and because of possible growth problems after surgery.
Adult ; Back Pain ; Braces ; Child ; Congenital Abnormalities ; Fracture Healing ; Humans ; Magnetic Resonance Imaging ; Male ; Motor Vehicles ; Radiography ; Spine