Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma.

PURPOSE: To investigate the prognostic performance of multi-level computed tomography (CT)-dose fusion dosiomics at the image-, matrix-, and feature-levels from the gross tumor volume (GTV) at nasopharynx and the involved lymph node for nasopharyngeal carcinoma (NPC) patients. METHODS: Two hundred and nineteen NPC patients (175 vs. 44 for training vs. internal validation) were used to train prediction model, and 32 NPC patients were used for external validation. We first extracted CT and dose information from intratumoral nasopharynx (GTV_nx) and lymph node (GTV_nd) regions. Then, the corresponding peritumoral regions (RING_3 mm and RING_5 mm) were also considered. Thus, the individual and combination of intratumoral and peritumoral regions were as follows: GTV_nx, GTV_nd, RING_3 mm_nx, RING_3 mm_nd, RING_5 mm_nx, RING_5 mm_nd, GTV_nxnd, RING_3 mm_nxnd, RING_5 mm_nxnd, GTV + RING_3 mm_nxnd, and GTV + RING_5 mm_nxnd. For each region, 11 models were built by combining five clinical parameters and 127 features from: (1) dose images alone; (2-7) fused dose and CT images via wavelet-based fusion using CT weights of 0.2, 0.4, 0.6, and 0.8, gradient transfer fusion, and guided-filtering-based fusion (GFF); (8) fused matrices (sumMat); (9-10) fused features derived via feature averaging (avgFea) and feature concatenation (conFea); and finally, (11) CT images alone. The concordance index (C-index) and Kaplan-Meier curves with log-rank test were used to assess model performance. RESULTS: The fusion models' performance was better than single CT/dose model on both internal and external validation. Models that combined the information from both GTV_nx and GTV_nd regions outperformed the single region model. For internal validation, GTV + RING_3 mm_nxnd GFF model achieved the highest C-index both in recurrence-free survival (RFS) and metastasis-free survival (MFS) predictions (RFS: 0.822; MFS: 0.786). The highest C-index in external validation set was achieved by RING_3 mm_nxnd model (RFS: 0.762; MFS: 0.719). The GTV + RING_3 mm_nxnd GFF model is able to significantly separate patients into high-risk and low-risk groups compared to dose-only or CT-only models. CONCLUSION: Fusion dosiomics model combining the primary tumor, the involved lymph node, and 3 mm peritumoral information outperformed single-modality models for different outcome predictions, which is helpful for clinical decision-making and the development of personalized treatment.

Status of asthma control in children and the effect of parents' knowledge, attitude, and practice (KAP) in China: a multicenter study.

BACKGROUND: Asthma is the most common chronic respiratory disease seriously endangering the health of children. But disease awareness and self-management skills are relatively poor in children; parents play an important role in the control of childhood asthma. OBJECTIVE: To investigate the status of asthma control and severity of asthma in children and to identify impact factors. METHODS: We studied 1 tertiary hospital in each of the 29 provinces. A total of 2,960 parents with children with asthma who visited those hospitals were selected for the knowledge, attitude, and practice (KAP) questionnaire survey, and separated into the controlled asthma group and uncontrolled asthma group according to children's asthma conditions in the past 12 months. Multivariate analysis was carried out based on the answers to 28 tested factors. RESULTS: In the past 12 months, 66.0% of children with asthma had asthma attacks, 26.8% visited an emergency room, and 16.2% were hospitalized. The total cost for asthma was significantly higher in the uncontrolled group than controlled group (χ(2) = 23.14, P < .01). Twelve protective factors of asthma control were founded, such as older age of children, long disease course, high KAP scores of parents, compliance with using nasal steroids, and knowledge of "3 or more times recurrent wheezing suggesting asthma." The risk factors were eczema and family history of asthma. CONCLUSION: Children's asthma is poorly controlled. The cost of asthma is significantly higher in uncontrolled asthma than in controlled. The age of children, course of asthma, personal history of allergy, family history of asthma, parents' education level, and parents' KAP are factors that affect asthma control.