Painful Hashimoto Thyroiditis in a 7-Year-Old Girl: Differential Diagnosis and Medical Treatment

Painful Hashimoto thyroiditis (HT) is a rare pediatric condition. Because of the rarity of painful HT, it can be misdiagnosed as other thyroid diseases, and there is limited evidence regarding its clinical course and treatment. A 7-year-old girl presented to the emergency room with neck pain. A physical examination revealed diffusely enlarged thyroid gland with firm consistency and without tenderness. Her serum free thyroxine level was decreased and levels of thyroid-stimulating hormone, thyroglobulin antibody, and thyroid-stimulating antibody were elevated. The ultrasonography revealed a diffusely enlarged thyroid gland with homogeneously hypoechoic parenchyma and lobulated contours. She was diagnosed with painful HT based on the clinical presentations, laboratory tests, and ultrasonography findings, and was treated with a steroid, levothyroxine, and nonsteroidal anti-inflammatory drugs, after which her clinical symptoms improved dramatically. We should consider the possibility of painful HT in children with neck pain; HT could be treated with medical treatment.ope

Liver stiffness and perfusion changes for hepatic sinusoidal obstruction syndrome in rabbit model

BACKGROUND: Hepatic sinusoidal obstruction syndrome (SOS) is caused by damage to hepatic sinusoidal endothelial cells that results in fibrous obliteration of intrahepatic venules and necrosis of hepatocytes. Currently the diagnosis is primarily based on nonspecific clinical features and invasive liver biopsy. Therefore, noninvasive imaging methods are required for the early diagnosis and severity assessment of hepatic SOS. AIM: To determine the effectiveness of supersonic shear wave imaging (SSI) and dual energy computed tomography (DECT) for diagnosing hepatic SOS using a rabbit model. METHODS: Among nine New Zealand white rabbits (3-4 kg, male), three in control group ingested normal saline for 20 d and six in the SOS group ingested 6-thioguanine (5 mg/kg/d) for 20 d. Liver stiffness was measured using SSI on days 0, 3, 10, and 20. On the same days, liver perfusion was evaluated from virtual monochromatic images of 55 keV and iodine map using DECT. Morphologic changes in the liver were assessed using CT. Final pathology scores were compared between the two groups. Liver stiffness and perfusion parameters were compared according to the groups, days, and pathology scores. RESULTS: Final pathology scores were significantly higher in the SOS than the control group (median 22 vs 2, P = 0.024). No gross morphologic changes were seen in livers. Liver stiffness, Hounsfield Unit values, and iodine concentrations were higher in the SOS compared to the control group on days 10 and 20 (all, P ≤ 0.007). Compared to day 0, liver stiffness and perfusion parameters were higher on day 20 in the SOS group (all, P ≤ 0.001). Correlation coefficients for liver stiffness (r = 0.635), Hounsfield Unit values (r = 0.587), and iodine concentration (r = 0.611) with final pathology scores were positive without significance (all, P > 0.05). CONCLUSION: Liver stiffness and perfusion parameters were significantly increased in the livers of a rabbit SOS model. SSI and DECT might aid in early diagnosis of hepatic SOS.ope

Establishment of Local Diagnostic Reference Levels of Pediatric Abdominopelvic and Chest CT Examinations Based on the Body Weight and Size in Korea

Objective: The purposes of this study were to analyze the radiation doses for pediatric abdominopelvic and chest CT examinations from university hospitals in Korea and to establish the local diagnostic reference levels (DRLs) based on the body weight and size. Materials and methods: At seven university hospitals in Korea, 2494 CT examinations of patients aged 15 years or younger (1625 abdominopelvic and 869 chest CT examinations) between January and December 2017 were analyzed in this study. CT scans were transferred to commercial automated dose management software for the analysis after being de-identified. DRLs were calculated after grouping the patients according to the body weight and effective diameter. DRLs were set at the 75th percentile of the distribution of each institution's typical values. Results: For body weights of 5, 15, 30, 50, and 80 kg, DRLs (volume CT dose index [CTDIvol]) were 1.4, 2.2, 2.7, 4.0, and 4.7 mGy, respectively, for abdominopelvic CT and 1.2, 1.5, 2.3, 3.7, and 5.8 mGy, respectively, for chest CT. For effective diameters of 24 cm, DRLs (size-specific dose estimates [SSDE]) were 4.1, 5.0, 5.7, 7.1, and 7.2 mGy, respectively, for abdominopelvic CT and 2.8, 4.6, 4.3, 5.3, and 7.5 mGy, respectively, for chest CT. SSDE was greater than CTDIvol in all age groups. Overall, the local DRL was lower than DRLs in previously conducted dose surveys and other countries. Conclusion: Our study set local DRLs in pediatric abdominopelvic and chest CT examinations for the body weight and size. Further research involving more facilities and CT examinations is required to develop national DRLs and update the current DRLs.ope

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs

Purpose: To assess experience with and perceptions of clinical application of artificial intelligence (AI) to chest radiographs among doctors in a single hospital. Materials and methods: A hospital-wide online survey of the use of commercially available AI-based lesion detection software for chest radiographs was conducted with all clinicians and radiologists at our hospital in this prospective study. In our hospital, version 2 of the abovementioned software was utilized from March 2020 to February 2021 and could detect three types of lesions. Version 3 was utilized for chest radiographs by detecting nine types of lesions from March 2021. The participants of this survey answered questions on their own experience using AI-based software in daily practice. The questionnaires were composed of single choice, multiple choices, and scale bar questions. Answers were analyzed according to the clinicians and radiologists using paired t-test and the Wilcoxon rank-sum test. Results: One hundred twenty-three doctors answered the survey, and 74% completed all questions. The proportion of individuals who utilized AI was higher among radiologists than clinicians (82.5% vs. 45.9%, p = 0.008). AI was perceived as being the most useful in the emergency room, and pneumothorax was considered the most valuable finding. Approximately 21% of clinicians and 16% of radiologists changed their own reading results after referring to AI, and trust levels for AI were 64.9% and 66.5%, respectively. Participants thought AI helped reduce reading times and reading requests. They answered that AI helped increase diagnostic accuracy and were more positive about AI after actual usage. Conclusion: Actual adaptation of AI for daily chest radiographs received overall positive feedback from clinicians and radiologists in this hospital-wide survey. Participating doctors preferred to use AI and regarded it more favorably after actual working with the AI-based software in daily clinical practice.ope

Diagnosis of Cervical Metastatic Lymph Nodes in Papillary Thyroid Carcinoma: Is CT Enhancement Useful for Diagnosing Lymph Node Metastasis?.

PURPOSE: We wanted to determine the utility of CT enhancement for diagnosing metastatic lymphadenopathy in patients with papillary thyroid carcinoma (PTC), and especially in the lymph nodes (LNs) of the lateral neck level and that are not suspicious for metastasis on ultrasonography (US). MATERIALS AND METHODS: Our study population included 34 consecutive LNs of 31 patients (25 females and 6 males, mean age: 46.7 yrs) with PTC and who had no suspicious metastatic lateral cervical LN on preoperative US, but enhancement of the lateral cervical LNs was seen on CT. To objectify the degree of enhancement, the difference of Hounsfield units between the suspicious LN and that of the ipsilateral SCM muscle was calculated. For the node-by-node analysis, marking of the corresponding LN with CT enhancement on the second look US was performed. The final assessment was attained by surgical dissection of the marked LNs. The medical records were reviewed for the patients' age and gender and the size of the LNs. RESULTS: Among the 34 LNs, 17 LNs were diagnosed as metastasis and 17 were benign. There was no difference in the size of the LNs between two the groups (benign and metastatic). The patients who had metastatic LNs were younger than those patients with benign LNs (p = 0.037). The incidence of metastatic LN was higher in the male patients than in the female patients (F:M = 38.5%:100%, p = 0.018). There was no statistical difference between the metastatic LNs and benign LNs according to the degree of enhancement (p = 0.953). CONCLUSION: The degree of CT enhancement is not feasible to use for diagnosing metastatic LNs in the lateral neck level in patients with PTC.ope

Psoas muscle area and paraspinal muscle fat in children and young adults with or without obesity and fatty liver

Background: Little is known about the muscle condition in children with obesity. Objectives: To investigate the effect of obesity and fatty liver on muscle area and muscle fat in children and young adults. Materials and methods: We evaluated consecutive liver fat quantification MRIs in children and young adults between June 2015 and April 2019. We obtained hepatic fat and paraspinal muscle fat at mid L2 from the fat map, psoas muscle area (PMA) at mid L3, and z-score of PMA. The patient's age, height and weight at the time of the MRI were recorded. Body mass index (BMI) z-score was also calculated. Spearman correlation and partial correlation analyses were performed. Univariate and multivariate regression analyses were also performed using significant variables. Results: A total of 132 patients (97 male) were included with a median age of 13.0 years (interquartile range 11-16 years). The median BMI was 23.7 kg/m2 (interquartile range 21.2-27.7 kg/m2). The weight, BMI, liver fat, and z-score of PMA were all higher in male patients than they were in female patients. The amount of liver fat had no correlation with muscle fat or PMA z-score after adjusting BMI. However, the BMI z-score was positively correlated with the PMA z-score (ρ = 0.432, p<0.001) even after adjusting for liver fat. On regression analyses, the BMI z-score had linear positive relationship with PMA z-score (β = 0.289, p<0.001) and muscle fat (β = 0.218, p = 0.016). Conclusions: Male children and young adults have greater PMA than do female children and young adults. Obesity is associated with higher PMA and paraspinal muscle fat. However, liver fat is not related with the muscle condition in children and young adults.ope

소아의 급성 폐 및 기도질환의 영상

Among the various emergency diseases in children, acute pulmonary and airway disease are common clinical conditions encountered by radiologists, and the first imaging modality is chest radiography. Therefore, it is important to be familiar with these diseases and their imaging findings. In this article, we review pneumonia and mimickers of acute pulmonary disease. For acute airway disease, we reviewed croup, acute epiglottitis, tracheomalacia, asthma, postinfectious bronchiolitis obliterans, and foreign body aspiration. We hope this review of special diseases can help the diagnosis and treatment in children.ope

Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice

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The impact of artificial intelligence on the reading times of radiologists for chest radiographs

Whether the utilization of artificial intelligence (AI) during the interpretation of chest radiographs (CXRs) would affect the radiologists’ workload is of particular interest. Therefore, this prospective observational study aimed to observe how AI affected the reading times of radiologists in the daily interpretation of CXRs. Radiologists who agreed to have the reading times of their CXR interpretations collected from September to December 2021 were recruited. Reading time was defined as the duration in seconds from opening CXRs to transcribing the image by the same radiologist. As commercial AI software was integrated for all CXRs, the radiologists could refer to AI results for 2 months (AI-aided period). During the other 2 months, the radiologists were automatically blinded to the AI results (AI-unaided period). A total of 11 radiologists participated, and 18,680 CXRs were included. Total reading times were significantly shortened with AI use, compared to no use (13.3 s vs. 14.8 s, p < 0.001). When there was no abnormality detected by AI, reading times were shorter with AI use (mean 10.8 s vs. 13.1 s, p < 0.001). However, if any abnormality was detected by AI, reading times did not differ according to AI use (mean 18.6 s vs. 18.4 s, p = 0.452). Reading times increased as abnormality scores increased, and a more significant increase was observed with AI use (coefficient 0.09 vs. 0.06, p < 0.001). Therefore, the reading times of CXRs among radiologists were influenced by the availability of AI. Overall reading times shortened when radiologists referred to AI; however, abnormalities detected by AI could lengthen reading times.ope

Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods.

OBJECTIVE: Apparent diffusion coefficients (ADC) can help differentiate between central nervous system (CNS) lymphoma and Glioblastoma (GBM). However, overlap between ADCs for GBM and lymphoma have been reported because of various region of interest (ROI) methods. Our aim is to explore ROI method to provide the most reproducible results for differentiation. MATERIALS AND METHODS: We studied 25 CNS lymphomas and 62 GBMs with three ROI methods: (1) ROI1, whole tumor volume; (2) ROI2, multiple ROIs; and (3) ROI3, a single ROI. Interobserver variability of two readers for each method was analyzed by intraclass correlation(ICC). ADCs were compared between GBM and lymphoma, using two-sample t-test. The discriminative ability was determined by ROC analysis. RESULTS: ADCs from ROI1 showed most reproducible results (ICC >0.9). For ROI1, ADCmean for lymphoma showed significantly lower values than GBM (p = 0.03). The optimal cut-off value was 0.98×10(-3) mm2/s with 85% sensitivity and 90% specificity. For ROI2, ADCmin for lymphoma was significantly lower than GBM (p = 0.02). The cut-off value was 0.69×10(-3) mm2/s with 87% sensitivity and 88% specificity. CONCLUSION: ADC values were significantly dependent on ROI method. ADCs from the whole tumor volume had the most reproducible results. ADCmean from the whole tumor volume may aid in differentiating between lymphoma and GBM. However, multi-modal imaging approaches are recommended than ADC alone for differentiation.ope