Portal vein blood flow is very important for the normal function of transplanted liver. The author reviewed the management methods of different portal vein thrombosis classification in the liver transplantation (LT). The prognosis of LT in the patients with Yerdel 1–3 thrombosis is similar to that the patients without thrombosis. The portal vein reconstruction of the patients with Yerdel 4 thrombosis can be realized by varicose vein to portal anastomosis, renoportal anastomosis or cavoportal hemitransposition. When anastomosis is made at the proximal side of a spontaneous shunt between the portal and cava system, the blood shunted from portal system can be reintroduced into the donor liver, which is crucial for the management of Yerdel 4 thrombosis. The establishments of artificial shunt by distal splenic vein, mesenteric vein or “multiple to one” anastomosis are effective attempts to drain the blood from portal system to the donor liver. For more severe diffuse thrombosis of portal vein system, multivisceral transplantation, including liver and small intestine, should be considered. The cases of LT in the patients with complex portal vein thrombosis are increasing, however the prognosis remains to be determined after accumulation of the cases.
ObjectiveTo explore the risk factors of perioperative severe complications (Clavien-Dindo grade Ⅲ and above) after laparoscopic radical resection of colorectal cancer (CRC). MethodsThe clinicopathologic data of CRC patients who met the inclusion and exclusion criteria treated in the Shaanxi Provincial People’s Hospital from January 2018 to December 2020 were retrospectively analyzed. The univariate and multivariate logistic analyses were used to explore the risk factors of perioperative severe complications after the laparoscopic radical resection of CRC. ResultsAtotal of 170 eligible patients were included in this study, and the postoperative complications occurred in 45 patients, 24 of whom were severe complications. The univariate analysis results showed that the age (P<0.001), body mass index (BMI, P=0.047), age adjusted Charlson complication index (aCCI) score (P=0.002), American Association of Anesthesiologists (ASA) classification (P<0.001), prognostic nutritional index (PNI, P=0.011), preoperative anemia (P=0.011), operation numbers of surgeon (P=0.003), and operation time (P=0.026) were related to the perioperative severe complications in the patients underwent the laparoscopic radical resection of CRC. The statistic indexes of univariate analysis (P<0.05) combined with indexes of clinical significance were included in the multivariate analysis, the results showed that the ASA classification Ⅲ– Ⅳ (OR=3.536, P=0.027), BMI ≥25 kg/m2 (OR=3.228, P=0.031), preoperative anemia (OR=2.876, P=0.049), operation numbers of surgeon <300 (OR=0.324, P=0.046), and the operation time ≥300 min (OR=3.480, P=0.020) increased the probability of perioperative severe complications in the patients underwent the laparoscopic radical resection of CRC. ConclusionsThe results of this study suggest that clinicians should pay attention to the perioperative management of patients with CRC, such as adequately evaluating the preoperative status of patients by ASA classification, PNI, and aCCI to adjust the malnutrition of patients; after operation, the patients with BMI ≥25 kg/m2 and operation time more than 300 min should be paid more attention. At the same time, the surgeon should continuously accumulate the operation numbers and improve the operation proficiency so as to reduce the occurrence of perioperative severe complications after laparoscopic radical resection of CRC.
Regurgitation is an abnormal condition happens when left ventricular assist devices (LVADs) operated at a low speed, which causes LVAD to fail to assist natural blood-pumping by heart and thus affects patients’ health. According to the degree of regurgitation, three LVAD’s regurgitation states were identified in this paper: no regurgitation, slight regurgitation and severe regurgitation. Regurgitation index (RI), which is presented based on the theory of dynamic closed cavity, is used to grade the regurgitation of LVAD. Numerical results showed that when patients are in exercising, resting and sleeping state, the critical speed between slight regurgitation and no regurgitation are 6 650 r/min, 7 000 r/min and 7 250 r/min, respectively, with corresponding RI of 0.401, 0.300 and 0.238, respectively. And the critical speed between slight regurgitation and severe regurgitation are 5 500 r/min, 6 000 r/min and 6 450 r/min, with corresponding RI of 0.488, 0.359 and 0.284 respectively. In addition, there is a negative relation correction between RI and rotational speed, so that grading the LVAD’s regurgitation can be achieved by determining the corresponding critical speed. Therefore, the detective parameter RI based on the signal of flow is proved to be able to grade LVAD’s regurgitation states effectively and contribute to the detection of LVAD’s regurgitation, which provides theoretical basis and technology support for developing a LVADs controlling system with high reliability.
【摘要】目的探讨实时超声弹性成像在淋巴结疾病诊断中的应用价值。 方法分析2008年2月4月27例淋巴结疾病患者的65个淋巴结病灶超声弹性图表现,弹性图分级为0~Ⅳ级,弹性图分型为Ⅰ~Ⅲ型。所有淋巴结均经术后病理学或细针抽吸细胞学检查证实,或经随访证实。结果转移性淋巴结弹性分级较高,≥Ⅲ级11/13,占84.62％;淋巴瘤性淋巴结弹性分级较低,≤Ⅱ级16/21,占76.19％。转移性淋巴结中Ⅱ型7/13,占53.85％,转移性淋巴结占全部Ⅱb型的54.55%(6/11);淋巴瘤性淋巴结中Ⅱ型13/21,占61.90％,淋巴瘤性淋巴结占全部Ⅱa型的73.33％(11/15);反应性淋巴结占全部Ⅰa型的68.18％(15/22)。结论实时超声弹性成像能为淋巴结疾病的诊断提供一定信息,弹性图分级对鉴别良恶性淋巴结有统计学意义,分型对于鉴别特定类型淋巴结疾病有一定提示作用。
Objective To improve esophageal lymph node staging and investgate an ideal esophageal lymph node metastasis staging method. Methods The clinical pathological data and followup data of the 236patients who had undergone thoracic esophagectomy with at least 6 lymph nodes (LN) removed from January 1985 to December 1989 were analyzed retrospectively. Cox proportional hazard model was used to screen risk factors, and Logrank test was applied to perform survival analysis according to lymph node metastasis staging (number, distance and extent). Results The 10-year follow-up rate was 92.3%（218/236）. The overall 1-year, 5-year and 10-year survival rates were 80.2%, 43.1% and 34.2% respectively. One hundred and twelve (47.4%) patients had LN metastasis, and their 5-year survival rates were lower than that of patients without LN metastasis (14.8% vs. 66.6%; χ2=77.18, P=0.000). Cox regression analysis showed that besides depth of invasion, differentiation grade and LN metastasis, the number, distance and extent of LN metastasis were the independent risk factors which could influence prognosis. A further analysis was given via univariate Logrank test. When grouped according to the number of LN metastasis, there were significant differences in overall survival rates (χ2=96.00,P=0.000), but no significant difference was found in survival rates between N2 and N3 group(Pgt;0.05). When grouped according to the distance of LN metastasis, there were significant differences in overall survival rates (χ2=79.29, P=0.000), but no significant difference was found in survival rates among S1, S2 and S3 group(Pgt;0.05). When grouped according to the extent of LN metastasis (0, 1, and ≥2 fields), there were significant differences in overall survival rates (χ2=87.47, P=0.000), and so were the survival rates among groups (χ2=5.14, P=0.023). Conclusion Revising the current Nclassification of TNM staging of esophageal cancer according to the extent of LN metastasis(0, 1, and ≥2 fields) is more reasonable, and can reflect the prognosis of patients with esophageal cancer after esophagectomy better.
China is a country with a high incidence of esophageal cancer. Most patients are already in the locally advanced stage when first diagnosed. Preoperative neoadjuvant therapy followed by surgery has become the standard treatment mode for them. Closely related to prognosis, the evaluation of tumor response is essential. Response evaluation criteria in solid tumors is the gold standard to evaluate tumor response, but the lesions must meet the measurement standards. Tumor regression grading (TRG) systems are designed to classify regressive changes after neoadjuvant treatment based on histopathological results to reveal prognostic information. Concentrating on pathologic assessment of esophageal cancer following neoadjuvant therapy, this article reviews histopathological changes, commonly used TRG systems and current debate.
GRADEpro GDT-Guideline Development Tool, is an online tool for the integration of important data and process of clinical practice guidelines and diagnostic guidelines. It is a new methodology progress of the GRADE system. This paper introduced how to use GRADEpro GDT to rate the quality of evidence in systematic reviews of intervention studies with an example.
ObjectiveTo detect expressions of E-cadherin (E-cad) and vascular endothelial growth factor (VEGF) in gastrointestinal stromal tumor (GIST) tissues and analyze their relationships with clinicopathologic features of patients with GIST.MethodsForty paraffin-embeded specimens of surgical resected GIST from January 2015 to March 2018 in the Pathology Department of Yuhuangding Hospital Affilicated to Qingdao University were retrieved. The expressions of E-cad and VEGF proteins were detected by the immunohistochemical method.ResultsThe positive expression rates of E-cad and VEGF proteins in the GIST tissues were 10.0% (4/40) and 50.0% (20/40), respectively. The positive expression rates of E-cad and VEGF proteins were associated with the tumor diameter, mitotic counts, and risk classification (P<0.05). The positive expression rate of the E-cad was negatively related to that of the VEGF in the GIST tissues (rs=–0.55, P=0.001).ConclusionFrom results of this study, VEGF and E-cad might be related with malignancy of GIST, which might be potential facators in predicting prognosis of GIST.
ObjectiveTo apply the multi-modal deep learning model to automatically classify the ultra-widefield fluorescein angiography (UWFA) images of diabetic retinopathy (DR). MethodsA retrospective study. From 2015 to 2020, 798 images of 297 DR patients with 399 eyes who were admitted to Eye Center of Renmin Hospital of Wuhan University and were examined by UWFA were used as the training set and test set of the model. Among them, 119, 171, and 109 eyes had no retinopathy, non-proliferative DR (NPDR), and proliferative DR (PDR), respectively. Localization and assessment of fluorescein leakage and non-perfusion regions in early and late orthotopic images of UWFA in DR-affected eyes by jointly optimizing CycleGAN and a convolutional neural network (CNN) classifier, an image-level supervised deep learning model. The abnormal images with lesions were converted into normal images with lesions removed using the improved CycleGAN, and the difference images containing the lesion areas were obtained; the difference images were classified by the CNN classifier to obtain the prediction results. A five-fold cross-test was used to evaluate the classification accuracy of the model. Quantitative analysis of the marker area displayed by the differential images was performed to observe the correlation between the ischemia index and leakage index and the severity of DR. ResultsThe generated fake normal image basically removed all the lesion areas while retaining the normal vascular structure; the difference images intuitively revealed the distribution of biomarkers; the heat icon showed the leakage area, and the location was basically the same as the lesion area in the original image. The results of the five-fold cross-check showed that the average classification accuracy of the model was 0.983. Further quantitative analysis of the marker area showed that the ischemia index and leakage index were significantly positively correlated with the severity of DR (β=6.088, 10.850; P＜0.001). ConclusionThe constructed multimodal joint optimization model can accurately classify NPDR and PDR and precisely locate potential biomarkers.