Objective:To construct and validate a combined Nomogram model based on radiomic and semantic features to preoperatively classify serous and mucinous pathological types in patients with ovarian cystadenoma.Methods: A total of 103 patients with pathology-confirmed ovarian cystadenoma who underwent CT examination were collected from two institutions. All cases divided into training cohort (N = 73) and external validation cohort (N = 30). The CT semantic features were identified by two abdominal radiologists. The preprocessed initial CT images were used for CT radiomic features extraction. The LASSO regression were applied to identify optimal radiomic features and construct the Radscore. A Nomogram model was constructed combining the Radscore and the optimal semantic feature. The model performance was evaluated by ROC analysis, calibration curve and decision curve analysis (DCA).Result: Five optimal features were ultimately selected and contributed to the Radscore construction. Unilocular/multilocular identification was significant difference from semantic features. The Nomogram model showed a better performance in both training cohort (AUC = 0.94, 95%CI 0.86-0.98) and external validation cohort (AUC = 0.92, 95%CI 0.76-0.98). The calibration curve and DCA analysis indicated a better accuracy of the Nomogram model for classification than either Radscore or the loculus alone. Conclusion:The Nomogram model combined radiomic and semantic features could be used as imaging biomarker for classification of serous and mucinous types of ovarian cystadenomas.
Objective: Polycystic ovary syndrome (PCOS), a common endocrine-metabolic dysfunction in reproductiveaged women, may be involved in compromised pregnancy and offspring outcomes. This study aimed to investigate whether maternal PCOS affects fetal growth, fetal development, and placental features. Methods: This retrospective case-control study included 60 pregnant women with PCOS (PCOS group) and 120 healthy pregnant women without PCOS (control group). Fetal magnetic resonance imaging (MRI) was performed followed by an ultrasound examination and indications for imaging, including known or suspected fetal pathology, history of fetal abnormality in previous pregnancy or in a family member, and concern for placenta accreta. Fetal MRI images were analyzed for head circumference (HC), abdomen circumference (AC), lung-to-liver signal intensity ratio (LLSIR, a prenatal marker of fetal lung maturity), lengths of liver and kidney diameters in fetuses, and placental relative signal intensity on T2-weighted single-shot fast spin echo (SSFSE) imaging (rSI SSFSE ), and placental relative apparent diffusion coefficient value (rADC). Data on height and weight of offspring were collected through telephone follow-up. Results: Compared to the control group, the PCOS group showed the following characteristics: (1) smaller biparietal diameter and femur length in fetuses (P=0.026 and P=0.005, respectively), (2) smaller HC in fetuses (evident after 32 weeks; P=0.044), (3) lower LLSIR and smaller dorsoventral length of liver in fetuses (evident before 32 weeks; P=0.005 and P=0.019, respectively), and (4) smaller placental thickness (evident before 32 weeks; P=0.017). No significant differences in placental rSI SSFSE or rADC were observed between the groups (all P>0.05). No significant differences in height and weight of offspring during childhood existed between the groups (all P>0.05). Conclusions: There exist alterations of fetal growth, fetal development, and placental features from women with PCOS.
Introduction:A 33-week abdominal pregnancy is an extremely rare type of ectopic pregnancy that is potentially life-threatening for the mother and fetus. Reports of using magnetic resonance imaging (MRI) in the third-trimester abdominal pregnancy are very few.Patient concerns:A 24-year-old woman (gravida 2, para 1, living 0) at 33 weeks’ gestation presented to local hospital complaining of vaginal bleeding for 2 months and lower abdominal pain for 2 days. Then, the woman was transferred to our hospital for suspected abdominal pregnancy, which was confirmed at our hospital on ultrasonography and further evaluated in detail on MRI.Diagnoses:The woman was diagnosed as having abdominal pregnancy.Interventions:The woman was managed surgically, the unviable fetus was removed, and the placenta was left in situ. Then, the woman was managed with fluids, blood transfusion, antibiotics, and systemic methotrexate after surgery.Outcomes:At 42 days postoperatively, the affected woman was discharged in a good condition.Conclusions:By using MRI, we can accurately diagnose an abdominal pregnancy. MRI provides more details than ultrasonography, and explains the possible mechanism of abdominal pregnancy. We advocate using MRI to help surgical planning and improve outcome in cases of abdominal pregnancy.
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