Objective To investigate subsequent treatment methods of nipple discharge after fiberoptic ductoscopic examination.Methods Intraductal lesions of 51 patients with nipple discharge were observed and assessed by fiberoptic ductoscopy.After examination,the patients were treated by various methods according to characteristic appearance of lesions under fiberoptic ductoscopy.The type of lesion with nipple discharge was classified as papillary lesions and nonpapillary lesions.And the papillary lesions could be further subdivided into nodular papillary lesions and irregular papillary lesions.There were 29 cases of nodular papillary lesion,23 of which were treated by local resection and 6 of which were given a simple mammectomy.There was 1 case of irregular papillary lesion,which was treated as malignant tumor after the focus was surgically removed and pathologically confirmed as breast cancer.Nonpapillary lesion was observed in 21 cases,18 of which were treated by local irrigation under ductoscopy,and 3 of which were treated as malignant tumor after the abnormal duct with its lobules was pathologically diagnosed as breast cancer.Results The 51 patients were followed with B-ultrasonography or chest roentgenography for 6～21 months(mean,14 months).No recurrence or metastasis was observed.Conclusions The characteristic appearance of lesion with nipple discharge under fiberoptic ductoscopy is an important evidence for choosing treatment method.

Hyperparathyroidism is an important complication of thyroid surgery.Identification is the premise of intraoperative pretection.At present,identification of the parathyroid gland relies on personal experience of surgeons.Amplifying display of endoscope or surgical magnifying glass,the use of dyeing agent such as methylene blue,nanocarbon,5-ALA or BB5-G1,the use of radionuclide imaging and contact endoscope,and biopsy like intraoperative frozen pathological examination and FNA are all important trials.This article is going to make a review of the methods.

objective To determine a proper fiducial photography distance setting for ideal amptitied endoscopic imaging of parathyroid gland by high definition endoscopy system.Methods 30 patients were operated with MIVAT mode (modified Miccoli's approach) for treatment of thyroid carcinoma from Apr.2013 to Mar.2014.High definition imaging was established by Image 1 Endoscopy System(Karl Storz Co.) to observe parathyroid gland and related fine anatomical structures during surgery.5 fiducial photography distances (1.0/1.5/2.0/2.5/3.0 cm) were separately tested during surgery.Maximally amplified parathyroid gland images of each setting were obtained by the approaching-amplifying photographic method,and then the size of the real parathyroid glands as well as their screen images were measured and recorded to calculate the magnification.A proper fiducial photography distance setting was determined postoperatively by comparison of the magnification times,as well as clarity,stability of the imaging and surgical maneuverability.Results ①90 parathyroid glands were successfully observed and measured.②At the longest fiducial photography distance (3.0 cm),the parathyroid gland could be stably magnified by 14.26±3.06(long trail)/12.62±2.88 (wide trail)times,but their contour and color not clear.③At the intermediate distance (2.5 cm),the parathyroid gland could be magnified by 16.74±3.15 (long trail)/14.81± 3.47(wide trail)times with the graphics stable,and the color and contour more clear,but the vascular pedicle and the tiny vessels under the capsule still blurred.④At the shortest distance (1.0 cm),the parathyroid gland could be magnified by 27.72±6.45 (long trail)/26.33±7.22(wide trail)times,not only the color and contour,but also the vascular pedicle and the tiny vessels under the capsule of the gland became further clearer,unfortunately the graphics was shimmy and unstable.Conclusions ①2.5 cm can be a proper fiducial photography distance for searching,identifying and preserving parathyroid gland in MIVAT,while 1.0 cm can be a special fiducial photography distance for further confirming parathyroid gland when necessary.② Current high definition endoscopy system can be applied to identify the parathyroid gland if fiducial photography distance was properly set and approachingamplifying photographic method was used.Along with the magnification of the imaging,the features of the parathyroid gland may become clearer,including its yellow-brown color and oval contour,as well as the detail structures such as the tiny vessels under the capsule and the vascular pedicle.

Heat shock protein 70 (HSP70) is expressed differently in hepatocellular carcinoma (HCC) tissues. Since its expression and regulatory mechanism remain unclear, whether HSP70 can help with the early diagnosis, treatment, and prognostic evaluation of HCC has become a hot research topic. This article reviews the source of HSP70 and its family, abnormal expression of HSP70 in HCC, and its association with treatment methods and prognostic evaluation of HCC, in order to provide a reference for clinical diagnosis and treatment of HCC.

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.