Objective:To study the evaluation of left ventricular myocardial function in patients with chronic renal failure by cardiac magnetic resonance feature tracking technique.Methods:Thirty patients with chronic renal failure (chronic renal failure group) who were treated in Jinhua Central Hospital of Zhejiang Province from June 2018 to June 2019 and 30 adult volunteers (healthy control group) who were examined at the same period were enrolled. The cardiac movie sequence was obtained by using Phillips Acheva 3.0 T CMR imaging equipment. The tissue tracking tool in CVI42 software was used to analyze the myocardial strain of the subjects, and the levels of left ventricular ejection fraction (LVEF), end diastolic volume (EDV), end systolic volume (ESV), apoptotic volume (AV), global longitudinal strain (GL), global circumferential strain (GC) and global radial strain (GR) were detected and compared between two groups.Results:The level of EDV in chronic renal failure group was higher than that in healthy control group: (132.3 ± 18.5) ml vs. (111.5 ± 15.1) ml, the level of LVEF in chronic renal failure group was lower than that in healthy control group: (62.41 ± 2.10)% vs. (67.30 ± 3.92)%, and the differences were statistically significant ( P<0.01). The levels of GL, GC and GR in chronic renal failure group were lower than those in healthy control group: (-16.3 ± 3.1)% vs. (-11.1 ± 4.1)%,(-17.5 ± 2.9)% vs. (-13.7 ± 4.7)% and (36.5 ± 9.5)% vs. (46.3 ± 8.4)%, and the differences were statistically significant ( P<0.01). When b = 300, 500 and 800 s/mm 2, the apparent diffusion coefficient (ADC) value of different clinical stages in healthy control group and chronic renal failure group were compared, and the differences were statistically significant ( P<0.01). When the clinical stage of chronic renal failure was higher, its ADC value was lower gradually. Conclusions:Cardiac magnetic resonance feature tracking technology can accurately and effectively evaluate the changes of left ventricular myocardial function in patients with chronic renal failure.

Objective:To establish a nomogram model based on elastic imaging parameters and ultrasound image features, and evaluate its predictive value in central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) .Methods:The clinical data of 168 patients (the research group) with papillary thyroid carcinoma who underwent thyroid surgery in our hospital from Jan. 2019 to Dec. 2021 were retrospectively collected, including gender, age, ultrasound elastography parameters (elasticity ratio, blue area ratio), and ultrasound examination indicators (nodule diameter, nodule number, internal echo, border, edge, aspect ratio, microcalcification, capsule invasion). Another 150 patients who underwent thyroid surgery in our hospital during the same period were selected as the validation group.According to the results of postoperative pathological examination, the the research group were divided into two groups: 64 cases (38.10%) of CLNM and 104 cases (61.90%) of non-CLNM. Binary logistic regression analysis was used to explore the influencing factors of CLNM in PTC patients, and a nomogram model based on elastic imaging parameters and ultrasound image features was established. The nomogram model was drawn to predict the receiver operating characteristic (ROC) curve of CLNM in PTC patients.Results:There were statistically significant differences in nodule diameter, edge, microcalcification, capsule invasion, blue area ratio, and elasticity ratio ( P<0.05). Most of the nodules in the CLNM group were ≥10 mm in diameter, with uneven margins, an aspect ratio of <1, microcalcifications and capsular invasion. Logistic regression analysis showed that nodule diameter, capsule invasion, blue area ratio and elastic ratio were risk factors for CLNM ( P<0.05). The AUC of the combined detection was 0.857 (0.777-0.937), and the sensitivity and specificity were 78.1% and 86.5%, respectively, and the AUC and sensitivity were significantly higher than the individual detection of each index ( P<0.05). In the research group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 81.25% (52/64) and 84.62% (88/104), respectively. In the validation group, the sensitivity and specificity of the ultrasound parameter prediction model in predicting CLNM were 79.17% (38/48) and 85.29% (87/102), respectively. Conclusion:Elastography parameters (blue area ratio, elasticity ratio) and ultrasound image features (nodule diameter, capsular invasion) are the influencing factors of CLNM in PTC patients, and the combined prediction based on the above four indicators has good application value.

Pathological insulin resistance (IR) is closely related to gestational diabetes mellitus (GDM) and adverse pregnancy outcomes in women with GDM. Increasing studies have investigated the efficacy of IR indices, such as quantitative insulin sensitivity index, homeostasis model assessment of insulin resistance, triglyceride-glucose index and sex hormone-binding globulin, in predicting GDM and related complications in recent years. This article reviews the research progress in the above topics.

Based on the ancient literature of all dynasties， this article makes a systematic textual research on the name， origin， producing area， quality， harvesting and processing of Zisu （Perillae） in the famous classical formulas， so as to clarify the information of the drug in different historical periods and provide a reference for the development and utilization of the related formulas. The main origin of Perillae in the ancient literature was Perilla frutescens var. frutescens （purple leaf type）， followed by P. frutescens var. acuta （purple leaf type）， but not Baisu. Modern chemical composition studies also show that there are obvious differences between Perillae and Baisu， which provides a scientific basis for distinguishing them. Although they are often treated as a species in plant classification， P. frutescens var. frutescens （purple leaf type） is recommended in the development of famous classical formulas， and Baisu should be avoided. Perillae is widely distributed， but its producing area did not record in most of the literature in the past dynasties， or the producing area is described as everywhere today. In the period of the Southern and Northern dynasties， the medicinal parts of Perillae included stems， leaves and seeds， and doctors in the Ming dynasty began to pay attention to the differentiation of different medicinal parts. The harvesting and processing methods of Perillae in the past dynasties are close to that of today. Perillae Fructus is mostly stir-fried and ground into medicine， Perillae Folium and Perillae Caulis are mainly simple cleansing. In production， we can refer to the 2020 edition of Chinese Pharmacopoeia.

This paper made a systematic textual research on the historical evolution and changes of the name， origin， producing area， harvesting and processing methods of Jujubae Fructus used in famous classical formulas by referring to the ancient literature， so as to provide a basis for the sampling and research of the formulas containing the medicinal materials. According to textual research， there are many names of Jujubae Fructus， most of which are named by characters or producing areas， which are called Dazao. Ziziphus jujuba has always been the mainstream variety in all dynasties， and Z. jujuba var. inemmis has also been used. Considering that the differences between the two are not obvious， we can use Z. jujuba and Z. jujuba var. inemmis as the origins of Dazao. The germplasm resources of Jujubae Fructus are rich， which are distributed all over the country. Qingzhou （now Shandong）， Jinzhou （now Shanxi） Jiangzhou （now Shanxi）， Puzhou （now Shanxi） have been recorded as authentic producing areas of Jujubae Fructus in the past dynasties， especially in Shandong. At the beginning of the 21^st century， the planting of Jujubae Fructus in Xinjiang gradually developed， and now has a high market recognition， becoming an emerging production area of high-quality samples. Harvest period of Jujubae Fructus is mostly August in the past dynasties， and this is basically the same as today. The main processing method is simple cleansing and drying. Through textual research， it is suggested that Jujubae Fructus in famous classical formulas should be mainly from Shandong， Shanxi and other traditional high-quality producing areas， the processing method should follow the 2020 edition of Chinese Pharmacopoeia for simple cleansing and drying.

Based on the ancient literature of all dynasties， this article makes a systematic textual research on the name， origin， producing area， quality， harvesting and processing of Magnoliae Officinalis Cortex used in the famous classical formulas， and clarifies its information of each link in different historical periods， so as to provide a reference and basis for the development and utilization of the related formulas. The results showed that the main varieties of Magnoliae Officinalis Cortex were Magnolia officinalis or M. officinalis var. biloba. The main production areas are Hubei， Sichuan， Chongqing and other places， forming the famous authentic medicine. The processing methods of the past dynasties are mainly cleansing and processing with ginger. In the formulas clearly marked with ginger processing， ginger-processed products is suggested to choose. If not clearly marked， raw or ginger-processed products can be used as needed.