In order to preprocess mammograms for diagnosing the early cases of breast cancer and improving the computational efficiency in the computer-aided detection of micro-calcifications in mammograms, we have advanced a novel processing technique for the extraction of micro-calcification region of interest (MROI). The proposed method is based on a three-step procedure: (1) the mammogram is divided into sub-images of the same size; (2) the wavelet multi-resolution method is conducted on the sub-images, and the parameters related to wavelet transform and threshold T are discussed according to rho; (3) the classification of sub-images is determined by T. It is tested with 20 mammograms and the results show that the method can achieve a true positive rate as high as 89.7% with a false positive rate as low as 2.1%.
Breast Diseases ; diagnostic imaging ; pathology ; Breast Neoplasms ; diagnostic imaging ; pathology ; Calcinosis ; diagnostic imaging ; Diagnosis, Computer-Assisted ; Humans ; Mammography

Objective: To observe the effect oftuina plus music therapy on range of motion of ankle joints and muscle spasm of lower limbs in children with spastic cerebral palsy. Method:All of 286 cases that conformed to the diagnostic criteria of infantile cerebral palsy were treated with 7 types of tuina manipulations respectively to unblock the Governor Vessel, reinforce the kidney and strengthen the spleen, pinch along the spine, stimulate specific foot-reflex area and different spinal segments, accelerate recovery of muscle strength and increase joint range of motion, 25-30 rain each treatment, once or twice a day, 30 d constitute a course of treatment.After this, the efficacy on femoral medial adduction and dorsiflexion angle and composite spasticity score (CSS) was evaluated. Result: The statistical analysis showed significant differences in dorsiflexion and femoral medial adduction angle and CCS scores (P<0.01) after the treatments. Conclusion: Tuina plus music therapy can lubricate the joints, relax contraction of tendons, alleviate muscle spasm and improve scissors and toe-walking gaits, thereby benefiting the gross motor function of infants in sitting, kneeling, standing and walking.

Objective To construct a risk prediction model by integrating the molecular subtypes of pan-creatic ductal adenocarcinoma(PDAC)and immune-related genes.Methods With GSE71729 data set(n=145)as the training set,the differentially expressed genes and differential immune-related genes between the squamous and non-squamous subtypes of PDAC were integrated to construct a regulatory network,on the basis of which five immune marker genes regulating the squamous subtype were screened out.An integrated immune score(IIS)model was constructed based on patient survival information and immune marker genes to predict the clinical prog-nosis of PDAC patients,and its predictive performance was tested with 5 validation sets(n=758).Results PDAC patients were assigned into high risk and low risk groups according to the IIS.In both training and validation sets,the overall survival of patients in the high risk group was shorter than that in the low risk group(both P＜0.001).The multivariable Cox regression showed that IIS was an independent prognostic factor for PDAC(HR=2.16,95％CI=1.50-3.10,P＜0.001).Conclusion IIS can be used for risk stratification of PDAC patients and may become a potential prognostic marker for PDAC.