Objective To investigate the features and diagnostic value of MRI in prenatal and postpartum for placenta accreta. Methods 18 cases of placenta accreta confirmed by surgical pathologically and clinical were retrospectively analyzed,including 10 ca-ses of prenatal and postpartum 8 cases,observed the signal feature and diagnostic value of MRI images.Results In the 10 cases of prenatal patients with placenta accreta,MRI manifestations of 9 cases of placenta prevail,totally or partly covering cervical,10 cases of partial placenta and uterine muscle gap disappeared,boundaries are not clear,2 cases of uterine wall bars low signal-image inter-rupted,bulging outward placenta,increased sub placental vascular wag detected in 8 patients;8 cases of postpartum patients with pla-centa accrete,MRI show 4 examples which were mixed signals within the uterine cavity,with the junctional zone boundaries were not clear,the junctional zone was discontinuous interruption in 7 cases,8 cases of muscular layer appear oval,high and low,patchy mixed signals in shadow,4 cases in the palace district,5 cases of invading the shallow layer,3 cases of infection and deep muscle layers. Conclusion MRI technique is of great value for diagnosis of placenta accreta.

OBJECTIVETo analyze the risk factors of nonspecific low back pain in community populations.

METHODSTwo community populations were investigated using questionnaires in this case-control study. The questionnaire was designed to collect data including age, gender, body weight, marriage, education, income, occupation, labor intensity, smoking, alcohol drinking and social mental status. The subjects with low back pain constituted the case group and those without low back pain served as the control group, and the data was analyzed by a Logistic regression model.

RESULTSA total of 1747 community residents participated in this survey, among whom 398 subjects had low back pain and 1126 subjects without low back pain were selected as the control group. Of all the latent risk factors of low back pain in Logistic regression model, gender was the most relevant factor (OR=3.5522) followed by education (OR=1.958), labor intensity (OR=1.956), marital status (OR=1.612), vibration source exposure (OR=1.491), BMI (OR=1.127) and age (OR=1.060).

CONCLUSIONGender, education, labor intensity, marriage, vibration source exposure and BMI are risk factors of nonspecific low back pain in community populations, and exercises and mental status can be protective factors against low back pain.

Case-Control Studies ; Humans ; Logistic Models ; Low Back Pain ; epidemiology ; Risk Factors ; Surveys and Questionnaires