Segnet Network Algorithm-Based Ultrasound Images in the Diagnosis of Gallbladder Stones Complicated with Gallbladder Carcinoma and the Relationship between P16 Expression with Gallbladder Carcinoma

The study focused on how to improve the diagnostic coincidence rate of patients with gallbladder stones and gallbladder cancer based on an optimized Segnet network algorithm and the relationship of gallbladder cancer with multiple tumor suppressor 1 (P16). 300 patients diagnosed with gallbladder cancer in the hospital were selected as the research subjects. The pyramid pooling operation was incorporated into the original Segnet network algorithm, and its performance was evaluated, factoring into the intersection of union (IoU), algorithm precision (Pre), and recall rate (Recall). After 8 hours of fasting, conventional ultrasound and contrast-enhanced ultrasound examinations were performed, and the images were evaluated by three experienced ultrasound diagnosticians. The positive signal of P16 immunohistochemical staining was brownish yellow, which was generally concentrated in the nucleus, and a small part was located in the cytoplasm. In each slice, ten visual fields were selected. Then, they were observed under a high-power mirror, and the number was counted. It was found that the optimized Segnet network algorithm increased the IoU by 7.3%, the precision by 8.2%, and the recall rate by 11.1%. The diagnostic coincidence rates of conventional ultrasound and contrast-enhanced ultrasound examinations for gallbladder cancer were 78.13% (25/32) and 87.5% (25/32), respectively. The positive expression rate of P16 in gallbladder adenocarcinoma (47.06%) was significantly lower than that of acute cholecystitis with gallbladder stones (84.38%) and gallbladder polyps (67.16%) ( P < 0.05 ). The positive expression rate of P16 in patients with stage III and stage IV (33.33% and 40%) was significantly lower than that in patients with stages I and II (87.5% and 80%) ( P < 0.05 ). The positive expression rate of P16 in high differentiation (86.67%) was significantly higher than that of moderate differentiation (40%) and poor differentiation (28.57%) ( P < 0.05 ). In short, contrast-enhanced ultrasound can effectively improve the diagnostic coincidence rate of gallbladder cancer, and the expression of P16 in gallbladder cancer is closely related to tumor staging and differentiation.

Choledocholithiasis comorbidity with Clonorchis sinensis: A case report

Coexisting gallbladder stones, common bile duct stones and Clonorchis sinensis infection is rare. Most radiologists and surgeons have low awareness and diagnostic suspicion of C. sinensis infection before opting for surgery.

Growth and Spectral Investigation on Pure Calcium Phosphate Doped With (Copper and Magnesium) Crystals

Calcium stones are most commonly occurring form of cholelithiasis or gallbladder stones most one of the oldest and common afflictions of humans. Calcium phosphate is dissolved minerals in causes of renal to gallbladder stone in both human and animals. Of course, the calcium phosphate is one of the components of gallbladder. Calcium phosphate doped with (Cu and Mg) are crystals are grown by sol-gel method. In the present work the growth and characterization of pure and doped with (Cu and Mg) crystals. The grown crystals were characterization by FT-IR, SEM-EDX and TG/DTA analysis.

Artificial Intelligence-Assisted Visual Sensing Technology under Duodenoscopy of Gallbladder Stones

Objective. This study is aimed at exploring the application effect of duodenoscopy assisted by visual sensing technology based on convolutional neural network (CNN) segmentation algorithm in the diagnosis and treatment of gallbladder stones, so as to provide safer and more effective treatment methods for patients with gallstones. Methods. 188 patients with gallstones and choledocholithiasis who were admitted to our hospital from January 2016 to April 2021 were selected as the research objects. Based on whether the patients were willing to use AI-assisted visual sensing technology during the treatment process, all patients were divided into two groups, namely, the AI group and the conventional group. Various surgical indicators of patients in two groups were compared. Results. The precision, recall, and mean intersection ratio of the M-Unet-based segmentation algorithm were 94.56%, 96.56%, and 98.92%, respectively. In the AI group, the operation time ( 2.74 ± 0.45 h ), postoperative drainage tube placement time ( 4.31 ± 1.15 d ), time required for recovery of gastrointestinal function ( 1.74 ± 0.54 d ), time required to get out of bed ( 1.14 ± 0.55 h ), and time spent in hospital ( 9.94 ± 1.45 d ) were all shorter compared with those in the conventional group, which were 3.21 ± 0.32 h , 12.14 ± 2.98 d , 2.89 ± 0.67 d , 2.09 ± 0.87 h , and 14.14 ± 1.15 h , showing statistical differences ( P < 0.05 ); the intraoperative blood loss ( 79.74 ± 6.45 mL ) and residual status of stones (0%) in the AI group were much lower than those in the conventional group ( P < 0.05 ). In addition, the incidence of complications (10.26%) and the indicators of postoperative gallbladder function of patients in the AI group were lower greatly than those in the conventional group ( P < 0.05 ). Conclusion. The visual sensing technology assisted by the CNN algorithm showed a good effect on image processing, and endoscopic technology can effectively improve the treatment effect of gallbladder stones combined with choledocholithiasis with the aid of this technology. Therefore, the conclusion in this study proved that visual sensing technology based on intelligent algorithms showed a good future in the medical field.

Duodenal bulbar necrosis with hemorrhage caused by cholecystolithiasis: a case report

Gastrointestinal bleeding and gallbladder stones are common diseases of the digestive system. However, duodenal necrosis and bleeding caused by gallbladder stone compression is relatively rare. The present report describes a patient with repeated hematemesis and melena that relapsed after several symptomatic treatments. The patient and his family elected surgical treatment. Intraoperative examination revealed necrosis of the duodenal bulb with hemorrhage, which was related to compression of the gallbladder neck. Because the imaging manifestations of this disease lack specificity, early diagnosis is difficult.