To investigate the relationship between the left trunk of the inferior mesenteric plexus (IMP) and the vascular sheath of the inferior mesenteric artery (IMA) and to explore anatomical evidence for autonomic nerve preservation during high ligation of the IMA in colorectal cancer surgery. We evaluated the relationship in 23 consecutive cases of laparoscopic or robotic colorectal surgery with high ligation of the IMA at our institute. Anatomical dissection was performed on 5 formalin-fixed abdominal specimens. A novel anatomical evidence-based operative technique was proposed. Anatomical observation showed that the left trunk of the IMP was closely connected with the IMA and was involved in the composition of the vascular sheath. Based on anatomical evidence, we present a novel operative technique for nerve-sparing high ligation of the IMA that was successfully performed in 45 colorectal cancer surgeries with no intraoperative complications and satisfactory postoperative urogenital functional outcomes. The left trunk of the IMP is involved in the composition of the IMA vascular sheath. This novel anatomical evidence-based operative technique for nerve-sparing high ligation of the IMA is technically safe and feasible.The left trunk of the IMP is involved in the composition of the IMA vascular sheath. This novel anatomical evidence-based operative technique for nerve-sparing high ligation of the IMA is technically safe and feasible. Fibroblast activation protein (FAP) is commonly expressed in activated stromal fibroblasts in various epithelial tumours. Recently, Ga-FAPI-04 has been used for tumour imaging in positron emission tomography/computed tomography (PET/CT). This study aimed to compare the diagnostic performances of Ga-FAPI-04 PET/CT and F-FDG PET/CT in hepatocellular carcinoma (HCC), and to assess factors associated with Ga-FAPI-04 uptake in HCC. Twenty-nine patients with suspiciously HCC who received both F-FDG and Ga-FAPI-04 PET/CT were included in this retrospective study. RGD peptide research buy The results were interpreted by two experienced nuclear medicine physicians independently. The maximum and mean standardized uptake values (SUV and SUV ) were measured in the lesions and liver background, respectively. The tumour-to-background ratio (TBR) was then calculated as lesion's SUV divided by background SUV . A total of 35 intrahepatic lesions in 25 patients with HCC were finally involved in the statistical analysis. Ga-FAPI-04 PET/CT showed a higher sensitivity than F-FDG PET/CT in detecting intrahepatic HCC lesions (85.7% . 57.1%, = 0.002), including in small (≤ 2cm in diameter; 68.8% . 18.8%, = 0.008) and well- or moderately-differentiated (83.3% . 33.3%, = 0.031) tumors. SUV was comparable between Ga-FAPI-04 and F-FDG (6.96 ± 5.01 . 5.89 ± 3.38, > 0.05), but the TBR was significantly higher in the Ga-FAPI-04 group compared with the F-FDG group (11.90 ± 8.35 . 3.14 ± 1.59, < 0.001). SUV and the TBR in Ga-FAPI-04 positive lesions were associated with tumour size (both < 0.05), but not the remaining clinical and pathological features (all > 0.05). Ga-FAPI-04 PET/CT is more sensitive than F-FDG PET/CT in detecting HCC lesions, and Ga-FAPI-04 uptake is correlated mainly with tumour size.68Ga-FAPI-04 PET/CT is more sensitive than 18F-FDG PET/CT in detecting HCC lesions, and 68Ga-FAPI-04 uptake is correlated mainly with tumour size. HER2 aberrations in salivary gland carcinomas (SGC) as well as benefit of HER2 directed therapy have been reported in small studies. However, reliable estimates of the prevalence of HER2 positivity in SGC and its various histological subtypes are lacking. To assess the prevalence of HER2 positivity in histological subtypes of salivary gland carcinomas (SGC). Studies were identified by a systematic review of the literature. Data on hybridization (ISH) and immunohistochemistry (IHC) were extracted to derive pooled prevalence estimates calculated by a random effects model. Characteristics of the studies were extracted for subgroup analysis. Fifty studies including 3372 patients were identified, providing data on sixteen histological subtypes. Based on the meta-analysis, the estimated prevalence of HER2 positivity were 43% (95% CI 36% - 51%) in salivary duct carcinoma (SDC), 39% (95% CI 32% - 45%) in carcinoma ex pleomorphic adenoma (CEP), 17% (95% CI 7.5% - 33%) in squamous cell carcinoma (SCC), 13% (95% CI 7.6% - 21%) in adenocarcinoma NOS (ADC), 6.7% (95% CI 0.17%-32%) in poorly differentiated carcinoma, 5.5% (95% CI 2.9% - 9.6%) in mucoepidermoid carcinoma, 4.3% (95% CI 1.4% - 13%) in myoepithelial carcinoma, 1.8% (95% CI 0.04%-9.6%) in epithelial-myoepithelial carcinoma, 0.45% (95% CI 0.0097% - 18%) in acinic cell carcinoma and 0.15% (0.037% - 5.4%) in adenoid cystic carcinoma. Estimates for five additional subtypes were assessed. Prevalence of HER 2 positivity in SGC varies greatly based on histological subtype, with SDC, CEP, SCC, and ADC displaying the highest rates.Prevalence of HER 2 positivity in SGC varies greatly based on histological subtype, with SDC, CEP, SCC, and ADC displaying the highest rates.[This corrects the article DOI 10.3389/fonc.2018.00492.]. There is a demand for additional alternative methods that can allow the differentiation of the breast tumor into molecular subtypes precisely and conveniently. The present study aimed to determine suitable optimal classifiers and investigate the general applicability of computer-aided diagnosis (CAD) to associate between the breast cancer molecular subtype and the extracted MR imaging features. We analyzed a total of 264 patients (mean age 47.9 ± 9.7 years; range 19-81 years) with 264 masses (mean size 28.6 ± 15.86mm; range 5-91 mm) using a Unet model and Gradient Tree Boosting for segmentation and classification. The tumors were segmented clearly by the Unet model automatically. All the extracted features which including the shape features,the texture features of the tumors and the clinical features were input into the classifiers for classification, and the results showed that the GTB classifier is superior to other classifiers, which achieved F1-Score 0.72, AUC 0.81 and score 0.71. Analyzed the different features combinations, we founded that the texture features associated with the clinical features are the optimal features to different the breast cancer subtypes.