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Objective To analyze the diagnostic value of features of mammographic mass edge in digital three dimensional tomography, and to discuss the correlations between the mammographic mass edge features and pathological features and molecular biological indicators, in order to provide evidence for early and accurate diagnosis and treatment of breast cancer and prognosis evaluation. Methods A retrospective analysis was made in 392 cases of breast cancer confirmed by operation and pathology in the People ' s Hospital of Shanxi Province from August 2017 to June 2018. These patients were examined by digital breast tomography (DBT) and full-field digital mammography (FFDM) before operation. Postoperative specimens were stained by immunohistochemical SP method to measure the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67. The correlation between the mammographic mass edge features and pathological features and molecular biological indicators were analyzed by usingχ2 test and Fisher exact probability method. Results In 392 patients, 352 cases (89.80％) were invasive ductal carcinoma, 6 cases (1.53％) were ductal carcinoma in situ with microinvasion, 7 cases (1.79％) were invasive lobular carcinoma, 17 cases (4.34％) were papillary carcinoma, 8 cases (2.04％) were mucinous carcinoma, 1 case (0.26％) was medullary carcinoma, and 1 case (0.26％) was metaplastic carcinoma. DBT were significantly better than FFDM in the detection rate [93.6％ (367/392) vs. 77.8％ (305/392)] and the diagnostic coincidence rate [88.2％(345/392) vs. 76.8％(278/392)] for breast cancer and judging the marginal features of tumor. The DBT imaging features of mucinous carcinomas were mostly regular in shape and clear in margin. The DBT imaging features of invasive ductal carcinomas were marginal burr sign or burr with lobulation sign. Immunohistochemical detection displayed the positive expression rates of ER and PR were highest, the positive expression rates of HER2 and Ki-67 were the lowest in marginal burr masses;the positive expression rates of ER and PR were high, the positive expression rates of HER2 and Ki-67 were low in marginal lobulated masses; the positive expression rate of HER2 was highest in borderline masses or partial borderline masses; the positive expression rates of HER2 and Ki-67 were highest in clear margin masses. Conclusions Breast DBT can reduce or eliminate the tissue overlap in FFDM examination, and improve the detection rate, the diagnostic coincidence rate and the specificity of breast cancer. It can also indirectly provide evidence for preoperative judgment of biological behavior of tumors, guide clinical treatment and assess the prognosis through the morphological and marginal features of breast masses. Breast DBT is worthy of a wide clinical application in breast examination.
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Objective To explore the clinicopathological characteristics,immunohistochemical phenotype and differential diagnosis of ovarian seromucinous borderline tumor.Methods Fifteen cases of ovarian seromucinous borderline tumor in Shanxi Provincial People's Hospital from January 2013 to May 2017 were collected.The surgical specimens were observed after HE and immunohistochemical staining,the patients were followed-up,and the relevant literature was reviewed.Results The age of 15 cases of ovarian seromucinous borderline tumor ranged from 26 to 56 years(mean 37 years).Eight cases occurred in the right,5 cases occurred in the left,only 2 cases were bilateral tumors.The complaint of most patients was abdominal distention,3 cases was ascites.The maximum diameter of these tumors ranged from 4 to 13 cm(mean 9.3 cm).Grossly,15 cases mainly showed cystic performance,varying amounts of papillae inside wall of the cysts.Small region of 2 cases were solid.Microscopically,9 tumors were composed of endocervical-like mucinous epithelium,4 tumors were endocervical-like mucinous epithelium and serous epithelium.2 cases were accompanied with endometriosis.Tumor cells mainly expressed estrogen receptor(ER),progesterone receptor(PR),paired box gene protein 8(PAX-8),cytokeratin 7(CK7),these markers were immunophenotypes of Mullerian tumors.Followed up for 3 to 24 months(mean 16.7 months),2 cases showed bilateral tumors,1 case was peritoneal implantation.No tumor recurrence was found in the remaining 12 cases.Conclusions Different from mucinous borderline tumor,ovarian seromucinous borderline tumor possesses relative special clinicopathological features,morphological and immunohistochemical phenotypes,with better prognosis.Combination of immunohistochemical markers ER,PR,PAX-8,CK7,CK20,Vimentin,CDX-2 and WT-1 can make an accurate diagnosis of this tumor.
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Objectives To explore the relativity between Alzheimer ’ s disease ( AD)-like lesions and metabolic syndrome models induced by high-sugar high-fat diet in rats.Methods Forty-eight Sprague Dawley rats were randomly divided into 2 groups.The control group (fed with normal diet, 12 rats) and high sugar and high fat group (fed with high-sucrose and high-fat diet, 12 rats) continuously for 12 months.At the end of 6, 9 and 12 months of the experiment , we observed the animal body weight and visceral fat weight .The blood lipid levels , blood glucose and MS-related biochemical parameters were determined . The brain tissues were examined by histopathology . The characteristic AD molecules hippocampus Aβand Tau were detected using ELISA and Western blotting to confirm the presence of AD lesions in the brain.Results Compared with the normal control group , the body weight and visceral fat weight of the rats in the high-sugar high-fat groups were significantly increased; the levels of TG , FPG, LDL, HOMA-IR and hippocampus Aβ,phosphorylated Tau (p-Tau) were higher, but the level of HDL was decreased (P<0.05 for all).The histopathological examination revealed inflammatory cell infiltration in the brain tissues .Conclusions Characteristic AD-like lesions may occur and accompany the rat models of metabolic syndrome , induced by high-sugar high-fat diet, and provide a new idea for the construction of Alzheimer ’ s disease animal models .