PURPOSE: The degree of radiation-induced lung fibrosis (RILF) can be measured quantitatively by fibrosis volume (VF) on chest computed tomography (CT) scan. The purpose of this study was to investigate the interobserver and intraobserver variability in CT-based measurement of VF. MATERIALS AND METHODS: We selected 10 non-small cell lung cancer patients developed with RILF after postoperative radiation therapy (PORT) and delineated VF on the follow-up chest CT scanned at more than 6 months after radiotherapy. Three radiation oncologists independently delineated VF to investigate the interobserver variability. Three times of delineation of VF was performed by two radiation oncologists for the analysis of intraobserver variability. We analysed the concordance index (CI) and inter/intraclass correlation coefficient (ICC). RESULTS: The median CI was 0.61 (range, 0.44 to 0.68) for interobserver variability and the median CIs for intraobserver variability were 0.69 (range, 0.65 to 0.79) and 0.61(range, 0.55 to 0.65) by two observers. The ICC for interobserver variability was 0.974 (p < 0.001) and ICCs for intraobserver variability were 0.996 (p < 0.001) and 0.991 (p < 0.001), respectively. CONCLUSION: CT-based measurement of VF with patients who received PORT was a highly consistent and reproducible quantitative method between and within observers.
Carcinoma, Non-Small-Cell Lung ; Evaluation Studies as Topic* ; Fibrosis* ; Follow-Up Studies ; Humans ; Lung* ; Observer Variation* ; Radiotherapy ; Thorax ; Tomography, X-Ray Computed

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

Objective: To present new classification methods of knee osteoarthritis (KOA) using machine learning and compare its performance with conventional statistical methods as classification techniques using machine learning have recently been developed. Methods: A total of 84 KOA patients and 97 normal participants were recruited. KOA patients were clustered into three groups according to the Kellgren-Lawrence (K-L) grading system. All subjects completed gait trials under the same experimental conditions. Machine learning-based classification using the support vector machine (SVM) classifier was performed to classify KOA patients and the severity of KOA. Logistic regression analysis was also performed to compare the results in classifying KOA patients with machine learning method. Results: In the classification between KOA patients and normal subjects, the accuracy of classification was higher in machine learning method than in logistic regression analysis. In the classification of KOA severity, accuracy was enhanced through the feature selection process in the machine learning method. The most significant gait feature for classification was flexion and extension of the knee in the swing phase in the machine learning method. Conclusion The machine learning method is thought to be a new approach to complement conventional logistic regression analysis in the classification of KOA patients. It can be clinically used for diagnosis and gait correction of KOA patients.

Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.

PURPOSE: Parotid gland can be considered as a risk organ in whole brain radiotherapy (WBRT). The purpose of this study is to evaluate the parotid gland sparing effect of computed tomography (CT)-based WBRT compared to 2-dimensional plan with conventional field margin. MATERIALS AND METHODS: From January 2008 to April 2011, 53 patients underwent WBRT using CT-based simulation. Bilateral two-field arrangement was used and the prescribed dose was 30 Gy in 10 fractions. We compared the parotid dose between 2 radiotherapy plans using different lower field margins: conventional field to the lower level of the atlas (CF) and modified field fitted to the brain tissue (MF). RESULTS: Averages of mean parotid dose of the 2 protocols with CF and MF were 17.4 Gy and 8.7 Gy, respectively (p < 0.001). Mean parotid dose of both glands > or =20 Gy were observed in 15 (28.3%) for CF and in 0 (0.0%) for MF. The whole brain percentage volumes receiving >98% of prescribed dose were 99.7% for CF and 99.5% for MF. CONCLUSION: Compared to WBRT with CF, CT-based lower field margin modification is a simple and effective technique for sparing the parotid gland, while providing similar dose coverage of the whole brain.
Brain ; Humans ; Parotid Gland ; Xerostomia

OBJECTIVES: The aims of this study were to develop a smartphone application to encourage breast self-examination (BSE), and to evaluate the effects of this application in terms of modifying BSE behavior. METHODS: A smartphone application, based on the Android OS, was developed with functions including a BSE date alarm, a reminder to encourage mother and daughter to practice BSE together, record keeping, and educational content with video clips. Females aged 19 and over were enrolled to evaluate the effectiveness of the application. Two series of questionnaires were carried out (before and after use of the application) by e-mail, telephone, and face-to-face interviews between July and September 2012. RESULTS: Forty-five subjects were enrolled in the study (age 29.5-5.9 years). Of the participants, only 28 (62.2%) had ever practiced BSE and only one of these (2.2%) was carried out at the appropriate time, based on the results of the baseline survey. After using the application, the number of participants practicing BSE increased from 28 to 32 (62.2% to 71.1%, p = 0.503). In subgroup analysis (age < 30 years), the number of participants using BSE increased from 8 to 18 (36.4% to 81.8%, p = 0.002), and the number of those using it at the appropriate time rose from 1 to 15 (2.2% to 33.3%, p < 0.001). CONCLUSIONS: The use of the developed smartphone application increased BSE in females younger than 30 years. To confirm the long-term benefits of the mobile application, additional studies must be carried out.
Breast Neoplasms ; Breast Self-Examination* ; Breast* ; Electronic Mail ; Feasibility Studies* ; Female ; Humans ; Mothers ; Nuclear Family ; Smartphone ; Surveys and Questionnaires ; Telephone

Waldenstr m's macroglobulinemia(WM) is a disorder of malignant proliferation of plasmacyoid lymphocytes and monoclonal immunoglobulin M. The renal complications of WM are less common and severe than that of multiple myeloma. We present a case of WM which involved the kidney as massive proteinuria, hematuria and renal failure. A biopy specimen of the kidney reveals the intraglomerular hyaline thrombi of immunoglobulin M paraprotein. Three cycles of plasmapheresis and systemic chemotherapy with chlorambucil and prednisolone show improvement in his renal manifestations. We suppose the glomerulonephritis caused by hyaline thrombi in WM may be reversible, at least in its early stage.

The funding acknowledgment in this article was omitted as published.

Adoptive cell therapy with chimeric antigen receptor (CAR)-engineered T cells (CAR-Ts) has emerged as an innovative immunotherapy for hematological cancer treatment. However, the limited effect on solid tumors, complex processes, and excessive manufacturing costs remain as limitations of CAR-T therapy. Nanotechnology provides an alternative to the conventional CAR-T therapy. Owing to their unique physicochemical properties, nanoparticles can not only serve as a delivery platform for drugs but also target specific cells. Nanoparticle-based CAR therapy can be applied not only to T cells but also to CAR-natural killer and CAR-macrophage, compensating for some of their limitations. This review focuses on the introduction of nanoparticle-based advanced CAR immune cell therapy and future perspectives on immune cell reprogramming.

OBJECTIVES: Lifestyles, including exercise behaviors, change continually over time. This study examined whether the clinical biomarkers (CBs) related to cardiometabolic diseases (CMDs) and their relationships differed with changes in exercise behavior. METHODS: The Ansan-Ansung cohort study (third to fifth phases; n=2,668) was used in the current study. Regular exercise behavior was investigated using a yeso questionnaire. Changes in exercise behavior were classified into 4 groups: Y-N, N-Y, Y-Y, and N-N, with “Y” indicating that a participant regularly engaged in exercise at a given time point and “N” indicating that he or she did not. Fourteen CBs related to CMDs were used, and the associations between changes in exercise behavior and relative changes in CBs were examined. CB networks were constructed and topological comparisons were conducted. RESULTS: Y-N was associated with increases in fasting blood sugar and insulin levels in men, and increased total cholesterol and low-density lipoprotein cholesterol levels in women. Meanwhile, N-Y was inversely associated with body fat percentage, visceral fat percentage, fasting insulin, and triglyceride level. Waist circumference played a central role in most networks. In men, more edges were found in the N-Y and Y-Y groups than in the N-N and Y-N groups, whereas women in the N-Y and Y-Y groups had more edges than those in the N-N and Y-N groups. CONCLUSIONS Consistent exercise or starting to engage in regular exercise had favorable effects on CBs related to CMDs, although their network patterns differed between the sexes.