Comparison of Energy and Macronutrients Between a Mobile Application and a Conventional Dietary Assessment Method in Korea.

BACKGROUND: The use of mobile apps for dietary evaluation avoids some of the disadvantages of costly and time-consuming traditional diet assessment. However, few studies have compared dietary intake data in smartphone apps with a conventional diet assessment. OBJECTIVE: This study aimed to compare the dietary data collected on energy and macronutrients (proteins, fats, and carbohydrates) consumed for 3 nonconsecutive days using both a mobile application (Noom) and a conventional dietary assessment tool (CAN Pro). DESIGN: This was a cross-sectional study. PARTICIPANTS/SETTING: A total of 119 healthy adults (68 males and 51 females) aged 19 to 65 years were recruited from the National Cancer Center in Korea between May and September 2019. MAIN OUTCOME MEASURES: The mean daily energy and macronutrient intake data were obtained for the dietary intakes consumed for 3 nonconsecutive days using Noom and CAN Pro. STATISTICAL ANALYSIS PERFORMED: The estimates of energy and macronutrient intake between the two tools were compared using correlation coefficients and cross-classification. RESULTS: Although mean daily fat intake and percent total energy from carbohydrate estimated by Noom were comparable with values provided by CAN Pro, mean daily estimated energy intake (kcal), protein (g, percent total energy), and carbohydrate (g) were significantly higher with Noom than with CAN Pro. The correlation coefficients ranged from 0.79 to 0.99 for crude intake and from 0.77 to 0.88 for energy-adjusted values of intake after adjustment for sex and age. The percentages of participants classified into quartiles of "exact agreement and plus adjacent" varied between 95% and 99% for crude intake and between 93% and 97% for energy-adjusted values of intake. CONCLUSIONS: The findings indicate that Noom may be useful for monitoring the dietary intake of energy and macronutrients and reducing workload compared with a traditional dietary assessment in Korea. However, further research is needed to assess the validity and usability of Noom for estimating intake of micronutrients and other dietary components.

Gastric Cancer Risk Prediction Using an Epidemiological Risk Assessment Model and Polygenic Risk Score.

We investigated the performance of a gastric cancer (GC) risk assessment model in combination with single-nucleotide polymorphisms (SNPs) as a polygenic risk score (PRS) in consideration of Helicobacter pylori (H. pylori) infection status. Six SNPs identified from genome-wide association studies and a marginal association with GC in the study population were included in the PRS. Discrimination of the GC risk assessment model, PRS, and the combination of the two (PRS-GCS) were examined regarding incremental risk and the area under the receiver operating characteristic curve (AUC), with grouping according to H. pylori infection status. The GC risk assessment model score showed an association with GC, irrespective of H. pylori infection. Conversely, the PRS exhibited an association only for those with H. pylori infection. The PRS did not discriminate GC in those without H. pylori infection, whereas the GC risk assessment model showed a modest discrimination. Among individuals with H. pylori infection, discrimination by the GC risk assessment model and the PRS were comparable, with the PRS-GCS combination resulting in an increase in the AUC of 3%. In addition, the PRS-GCS classified more patients and fewer controls at the highest score quintile in those with H. pylori infection. Overall, the PRS-GCS improved the identification of a GC-susceptible population of people with H. pylori infection. In those without H. pylori infection, the GC risk assessment model was better at identifying the high-risk group.

Dose assessment in dental cone-beam computed tomography: Comparison of optically stimulated luminescence dosimetry with Monte Carlo method.

The variety of cone-beam computed tomography (CBCT) machines and their applications has rapidly increased in recent years, making the dose evaluation of individual devices an important issue. Patient doses from CBCT were assessed with two different methods: optically stimulated luminescence dosimeter (OSLD) measurements and Monte Carlo (MC) simulations, in four different examination modes. Based on an analysis of the measurement process and the obtained values, a recommendation is made regarding which method is more practical and efficient for acquiring the effective dose of CBCT. Twenty-two OSLDs were calibrated and equipped in human phantoms of head and neck organs. They were exposed to radiation from two CBCT units-CS9300 (Carestream Dental LLC, Atlanta, Georgia) and RAYSCAN α+ (Ray Co. Ltd, Hwaseong-si, Korea)-using two different examination modes. The dose recorded using the OSLDs was used to calculate the organ dose and the effective dose for each unit in each examination mode. These values were also calculated using MC software, PCXMC (STUK, Helsinki, Finland). The organ doses and effective doses obtained using both methods were compared for each examination mode of the individual units. The OSLD-measured effective dose value was higher than that obtained using the MC method for each examination mode, except the dual jaw mode of CS9300. The percent difference of the effective dose between the two methods ranged from 4.0% to 14.3%. The dose difference between the methods decreased as the field of view became smaller. The organ dose values varied according to the method, although the overall trend was similar for both methods. The organs showing high doses were mostly consistent for both methods. In this study, the effective dose obtained by OSLD measurements and MC simulations were compared, and both methods were described in detail. As a relatively efficient and easy-to-perform method, we cautiously suggest using MC simulations for dose evaluations in the future.

The value of diagnostic ultrasonography in the assessment of a glomus tumor of the subcutaneous layer of the forearm mimicking a hemangioma: a case report.

INTRODUCTION: A glomus tumor is a rare, benign tumor with atypical clinical symptoms. Because of its small size, it is difficult to diagnose and treat early; therefore, it leads to poor quality of life. Glomus tumors are known to commonly affect the hand and rarely manifest in other areas. Because they simulate neuromas, hemangiomas, and neurofibromatosis, the differential diagnosis is difficult. We performed marginal resection of a solitary forearm mass previously suspected to be a hemangioma or glomus tumor on the basis of ultrasound findings and histologically diagnosed to be a glomus tumor afterward. We report this case to demonstrate the good prognosis of the procedure we used, and we review the relevant literature. CASE PRESENTATION: A 68-year-old Asian man without a particular medical history visited our hospital with a mass with focal tenderness in his left distal forearm that had developed 8 years earlier. The tumor was observed with suspicion of being a hemangioma or glomus tumor based on the location, clinical symptoms, and ultrasound findings taken into consideration together. The biopsy results led us to conclude that the lesion was a glomus tumor. CONCLUSIONS: A glomus tumor located in the forearm is very rare. It is often clinically overlooked and is likely to be misdiagnosed as another disease. The patient's quality of life deteriorates, and, though the disease is rare, it has serious sequelae. Therefore, a quick diagnosis and appropriate treatment must be conducted early. If a mass occurs with serious pain in subcutaneous soft tissue of not the hands but the limbs, it is important to conduct examinations with suspicion of a glomus tumor. Ultrasonography performed quickly may be useful for making the differential diagnosis.