Fetal growth restriction (FGR) is an important cause of perinatal death and adverse pregnancy outcomes. Asymmetric dimethylarginine (ADMA) is associated with FGR, but the mechanisms have not been thoroughly studied. Here, we determined the levels of ADMA and autophagy-related molecules in human blood samples and placental tissues. And we also used the human chorionic carcinoma cell line BeWo to investigate the mechanism of ADMA-induced FGR in vitro. Compared with the control group, ADMA levels in maternal blood and placenta were increased in patients with FGR, and the birth weight (BW) percentile was negatively correlated with maternal serum ADMA concentration in the FGR group. The expression of mammalian target of rapamycin (mTOR) in the placenta of the FGR group was lower than the control group, while the expression of Beclin-1 and microtubule-associated protein 1 light chain 3-II (LC3-II)/LC3-I was significantly increased in the FGR group. And the expression of matrix metalloproteinase 9 (MMP9) was decreased in the placenta of patients with FGR. In in vitro cell experiments, compared with the control group, the expression of mTOR and MMP9 in BeWo cells was decreased and the expression of Beclin-1 and LC3-II/LC3-I was increased in the ADMA-treated group. Moreover, ADMA had favorable effects on the formation of autophagic vacuoles, and the autophagy inhibitor 3-Methyladenine (3-MA) could reduce the autophagy-induction effect of ADMA on BeWo cells. This study found that ADMA could participate in the occurrence of FGR through inducing autophagy in trophoblasts. The relationship between obesity and prognosis of early breast cancer is complex. Increased levels of aromatase present in adipose tissue of obese postmenopausal women may lead to suboptimal suppression of systemic estrogens. However, studies have been mixed with respect to the association between use of aromatase inhibitors (AIs) and clinical outcomes in obese women with early breast cancer. We conducted a systematic literature review following PRISMA guidelines to examine the impact of obesity on the efficacy of AIs in early-stage hormone receptor-positive breast cancer. Primary outcome measures included disease-free survival, relapse-free survival, distant recurrence-free survival, breast cancer-free survival, and overall survival. Of 491 studies identified, eight studies met criteria for inclusion three retrospective cohort studies, one prospective cohort study and four randomized controlled trials. Four studies limited eligibility to postmenopausal women. Percentage of obese patients in studies ranged from 10 to 30%. Two studies examined use of AIs alone while the remainder included patients treated with either AIs or tamoxifen. Five out of seven studies suggested a negative impact of obesity on AI efficacy. The results of our systematic review highlight a need for further research exploring the optimal endocrine therapies for obese women. There is insufficient evidence at present to recommend tailoring adjuvant endocrine therapy with use of specific AIs or for dosing modifications of AIs in this patient population.The results of our systematic review highlight a need for further research exploring the optimal endocrine therapies for obese women. There is insufficient evidence at present to recommend tailoring adjuvant endocrine therapy with use of specific AIs or for dosing modifications of AIs in this patient population. Breast ultrasound (BUS) is one of the imaging modalities for the diagnosis and treatment of breast cancer. However, the segmentation and classification of BUS images is a challenging task. In recent years, several methods for segmenting and classifying BUS images have been studied. These methods use BUS datasets for evaluation. In addition, semantic segmentation algorithms have gained prominence for segmenting medical images. In this paper, we examined different methods for segmenting and classifying BUS images. Popular datasets used to evaluate BUS images and semantic segmentation algorithms were examined. Several segmentation and classification papers were selected for analysis and review. Both conventional and semantic methods for BUS segmentation were reviewed. Commonly used methods for BUS segmentation were depicted in a graphical representation, while other conventional methods for segmentation were equally elucidated. We presented a review of the segmentation and classification methods for tumours detected in BUS images. This review paper selected old and recent studies on segmenting and classifying tumours in BUS images.We presented a review of the segmentation and classification methods for tumours detected in BUS images. This review paper selected old and recent studies on segmenting and classifying tumours in BUS images. This study aims to investigate the relationship between the TSHR, BRAF, and PIK3CA gene copy number variations (CNVs) and thyroid nodules by analyzing gene CNVs, and to explore the interaction between iodine status and the above genes CNVs in the occurrence of thyroid nodules. Three hundred and ninety-five subjects were selected from 3 regions with different iodine status in Shanxi Province of China, including 192 patients with thyroid nodules and 203 healthy controls. The basic information about subjects had been obtained through a questionnaire. B ultrasound was utilized to check thyroid nodules. Blood and urine samples were harvested to detect the thyroid function and urinary iodine concentration. Real-time quantitative polymerase chains reaction (RT-PCR) served to detect CNVs in DNA from human blood. There was an association between TSHR gene CNV and thyroid nodules (χ  = 8.403, P = 0.004). The prevalence of BRAF and PIK3CA gene CNVs was not statistically significant between the case group and the control group. Differences in the TSHR gene CNV rates for cases of the 3 areas were statistically significant (χ  = 10.072, P = 0.007). No statistical difference in the prevalence rates of the 3 genes CNVs between diverse characteristics of thyroid nodules was observed. UIC > 300 μg/L (OR = 1.74, 95% CI 1.02-2.96, P = 0.041) and TSHR gene CNV (OR = 3.53, 95% CI 1.40-8.92, P = 0.008) were risk factors for thyroid nodules. There was no significant interaction between the UIC and the examined genes CNVs. TSHR gene CNV and high urinary iodine levels can increase the risk of thyroid nodules. Dexketoprofen trometamol But the interactions between the 3 above genes CNVs and iodine nutrition were not found in the occurrence of thyroid nodules.TSHR gene CNV and high urinary iodine levels can increase the risk of thyroid nodules. But the interactions between the 3 above genes CNVs and iodine nutrition were not found in the occurrence of thyroid nodules.