ABSTRACT
Purpose@#Knowing the distinction between benign and borderline/malignant phyllodes tumors (PTs) can help in the surgical treatment course. Herein, we investigated the value of magnetic resonance imaging-based texture analysis (MRI-TA) in differentiating between benign and borderline/malignant PTs. @*Methods@#Forty-three women with 44 histologically proven PTs underwent breast MRI before surgery and were classified into benign (n = 26) and borderline/malignant groups (n = 18 [15 borderline, 3 malignant]). Clinical and routine MRI parameters (CRMP) and MRI-TA were used to distinguish benign from borderline/malignant PT. In total, 298 texture parameters were extracted from fat-suppression (FS) T2-weighted, FS unenhanced T1-weighted, and FS first-enhanced T1-weighted sequences. To evaluate the diagnostic performance, receiver operating characteristic curve analysis was performed for the K-nearest neighbor classifier trained with significantly different parameters of CRMP, MRI sequence-based TA, and the combination strategy. @*Results@#Compared with benign PTs, borderline/malignant ones presented a higher local recurrence (p = 0.045); larger size (p < 0.001); different time-intensity curve pattern (p = 0.010); and higher frequency of strong lobulation (p = 0.024), septation enhancement (p = 0.048), cystic component (p = 0.023), and irregular cystic wall (p = 0.045). TA of FS T2-weighted images (0.86) showed a significantly higher area under the curve (AUC) than that of FS unenhanced T1-weighted (0.65, p = 0.010) or first-enhanced phase (0.72, p = 0.049) images. The texture parameters of FS T2-weighted sequences tended to have a higher AUC than CRMP (0.79, p = 0.404). Additionally, the combination strategy exhibited a similar AUC (0.89, p = 0.622) in comparison with the texture parameters of FS T2-weighted sequences. @*Conclusion@#MRI-TA demonstrated good predictive performance for breast PT pathological grading and could provide surgical planning guidance. Clinical data and routine MRI features were also valuable for grading PTs.
ABSTRACT
Multiple sclerosis (MS) is an autoimmune immune-mediated central nervous system demyelinating disease, which is one of the most frequent disabling neurological diseases in young adults. Accurate diagnosis and timely treatment are crucial to improve the long-term prognosis of patients. Radiomics is an emerging precision image analysis technology, which can high-throughput texture features from medical images for quantitative analysis. In recent years, radiomics has been gradually applied to the analysis of pathological damage, diagnosis, differential diagnosis and prognosis of MS. The research progresses of radiomics in MS were reviewed in this article.
ABSTRACT
Objective To explore hospice home care method of dying children.Methods In 58 cases of dying children at home were given personalized hospice care plan,then the questionnaire were adopted to investigate the related indexes and the results were analyzed.Results In home hospice care,parents had a high recognition and satisfaction to children's pain management and symptom care.The parents with different education background had significant difference in recognition extent of psychological support,games support and death education.The parents anxiety and depression mood got effective mitigation through hospice home care of dying children.Conclusions Implementation of personalized home hospice care can increase life quality of dying children and improve adverse mood of their parents.