Objective To study the clinical characteristics and diagnosis of the solid-psendopapillary tumor of pancreas (SPT).Methods The clinical data of 40 SPT from January 1996 to January 2008 were retrospectively analyzed. The average age was (32.9 + 13.6 )years. The average clinical course was (8.6±0.1) months.Clinical symptoms usually included distensible pains and secret anguish in abdomen (60.0%).No jaundice appeared in any case.Results The surgical resection was favorable for the treatment of SPT,which had excellent prognosis.No tumor recurrence were found in those following-up patients. Grossly,the cut surface showed areas of solid and papillary tissue,cystic degeneration,hemorrhage,and necrosis.Pathological features included a combination of solid and cystic components with pseudopapillae formation and degenerative regions without glands.Conclusions SPT has its uniquely clinical and pathological characteristics.Its main diagnosed points are helpful for clinical doctors to make timely diagnosis and reduce the rate of misdiagnosis and mistreatment.

Limited by the imaging principle of whole body bone SPECT image, the gray value of bladder area is quite high, which affects the image's brightness, contrast and readability. In the meantime, the similarity between bladder area and focus makes it difficult for some images to be segmented automatically. In this paper, an improved Snake model, GVF Snake, is adopted to automatically segment bladder area, preparing for further processing of whole body bone SPECT images.
Algorithms ; Bone and Bones ; diagnostic imaging ; Humans ; Image Processing, Computer-Assisted ; Models, Anatomic ; Tomography, Emission-Computed, Single-Photon ; methods ; Urinary Bladder

In this paper, BP neural network is used to segment whole body bone SPECT image so that the lesion area can be recognized automatically. For the uncertain characteristics of SPECT images, it is hard to achieve good segmentation result if only the BP neural network is employed. Therefore, the segmentation process is divided into three steps: first, the optimal gray threshold segmentation method is employed for preprocessing, then BP neural network is used to roughly identify the lesions, and finally template match method and symmetry-removing program are adopted to delete the wrongly recognized areas.
Algorithms ; Bone and Bones ; diagnostic imaging ; Humans ; Image Interpretation, Computer-Assisted ; methods ; Neural Networks (Computer) ; Pattern Recognition, Automated ; methods ; Tomography, Emission-Computed, Single-Photon ; Whole Body Imaging

Objective To investigate the early predictive value of several commonly used biochemical markers for predicting persistent organ failure ( POF ) in patients with hyperlipidemic acute pancreatitis ( HLAP) . Methods Clinical data of 157 patients with HLAP within 72 hours after the onset of first attack who were admitted to the Dept. of Gastroenterology in Changhai Hospital from January 2015 to December 2017 were retrospectively analyzed, including 106 cases without POF ( non POF group ) and 51 cases with POF ( POF group) . Hct, BUN, Cr, APACHEⅡand BISAP were recorded within 24 hours after admission. Receiver-operating characteristic ( ROC) curve was drawn to calculate area under the ROC curve ( AUC) and evaluate the performance of Hct, BUN, Cr, APACHEⅡand BISAP scores in predicting HLAP complicated with POF, which was compared by DeLong test. Results Values of BUN, Cr, APACHEⅡand BISAP were significantly higher in HLAP patients with POF than those without POF [(10. 30 ± 7. 43) vs (5. 34 ± 2. 26) mmol/L, (165. 31 ± 123. 93) vs (65. 61 ± 20. 82)μmol/L, (10. 22 ± 6. 22) vs (4. 61 ± 2. 99) points, (2. 61 ± 0. 87) vs (1. 42 ± 1.07) points], and the differences were all statistically significant (all P<0.05), whereas Hct was not significantly different between the two groups. The AUC of Cr and BUN for predicting POF was 0. 77(95％ CI, 0. 69-0. 86) and 0. 71 (95％ CI, 0. 61-0. 81), respectively, and the optimum predictive Cut-off values were 130 μmol/L and 8. 95 mmol/L, respectively. The sensitivity was 53％, and the specificity was 99％ and 94％;the accuracy was 84％ and 81％;negative predictive value was 81％, and positive predictive value was 96％ and 82％. DeLong test showed that predictive performance of BUN and Cr was not statistically different from that of APACHEⅡand BISAP. Conclusions Cr≥130 μmol/L and BUN≥8. 95 mmol/L can be used clinically to predict the presence of POF in HLAP, and the predictive efficacy were comparable to APACHEⅡand BISAP.

Objective     To analyze the perioperative outcomes of uniportal thoracoscopic lobectomy compared with three-port thoracoscopic lobectomy. Methods     Data were extracted from the Western China Lung Cancer Database, a prospectively maintained database at the Department of Thoracic Surgery, West China Hospital, Sichuan University. Perioperative outcomes of the patients who underwent uniportal or three-port thoracoscopic lobectomy for lung cancer during January 2014 through April 2021 were analyzed by using propensity score matching. Altogether 5 817 lung cancer patients were enrolled who underwent thoracoscopic lobectomy (uniportal: 530 patients; three-port: 5 287 patients). After matching, 529 patients of uniportal and 1 583 patients of three-port were included. There were 529 patients with 320 males and 209 females at median age of 58 (51, 65) years in the uniportal group and 1 583 patients with 915 males and 668 females at median age of 58 (51, 65) years in the three-port group. Results     Uniportal thoracoscopic lobectomy was associated with less intraoperative blood loss (20 mL vs. 30 mL, P<0.001), longer operative time (115 min vs. 105 min, P<0.001) than three-port thoracoscopic lobectomy. No significant difference was found between the two groups regarding the number of lymph node dissected, rate of conversion to thoracotomy, incidence of postoperative complication, postoperative pain score within 3 postoperative days, length of hospital stay, or hospitalization expenses. Conclusion     Uniportal video-assisted thoracoscopic lobectomy is safe and effective, and the overall perioperative outcomes are comparable between uniportal and three-port strategies, although the two groups show differences in intraoperative blood loss.