As a quantitative evaluation approach for tumor hyperthermia,thermal dosimetry is a critieat part of the treatment planning system and plays a key role in governing the relationships between thermal exposure(temperature and time of exposure)and thermal damage.Its principal theories,parameters as well as thermal dosimetry models are potentially to accurately describe the tumor hyperthermia effectiveness and therefore greatly improve the clinical experience and prescription for tumor hyperthermia.The deep study and wide clinical application of thermal dosimetry in hyperthermia will further standardize tumor hyperthermia and benefit the patients more.

Objective To establish a rat model of ulcerative colitis ( UC) with spleen and kidney Yang deficien-cy.Methods The rat model of ulcerative colitis with spleen and kidney Yang deficiency was established by oral adminis-tration of Rhubarb decoction, intramuscular injection of hydrocortisone, and combined with ethanol enema of TNBS (2,4, 6-trinitrobenzene sulfonic acid).Sixty Wistar rats ( body weight 180 ±20 g, male:female=1∶1) were randomly divided into blank control group and groups of UC models with spleen kidney Yang deficiency for 7 days, 14 days and 21days.The serum levels of FT3, FT4, and T of the rats were detected by ELISA assay.Results Compared with the blank control group, the serum levels of FT3, FT4, and T in the groups of UC rat models with spleen kidney Yang deficiency for 7 days, 14 days and 21days were decreased to a different extent (P<0.05), especially, decreased dramatically in the model group for 21 days.Conclusions FT3, FT4, and T are sensitive indexes with spleen and kidney Yang deficiency.The detection of serum levels of FT3, FT4, and T can better verify the spleen and kidney Yang deficiency in the rats, and prove that the spleen and kidney Yang deficiency type UC animal model is successfully prepared.

Objective To evaluate the method of ultrasonic imaging to confirm endotracheal tube location in adult patients.Methods A certified sonographer identified the location of the trachea tube with ultrasound machine and then put it to optimum place.Correct trachea tube location confirmed by fiberoptic bronchoscopy (FOB) was used to evaluate the accuracy of ultrasonography for detecting endotracheal tube location.Results Several relevant structures,including anterior wall of trachea,the edge of balloon and the superior edge of the aorta (DGA) would be successfully visualized by sonographic examination.Among 48patients underwent ultrasound-guided tracheal intubation,there were 44 successful cases.2 intubatedmalposition cases and 2 failed-to-guide cases.The locating accuracy rate was 91.7％.Conclusions Ultrasound examination can identify the position of trachea tube in adult patients accurately,and it is a noninvasive,convenient and radiation free method for patients undergoing airway management.

Objective To investigate the dose-response relationship of the treatment temperatures and heating time on human cervical carcinoma hela cells,aiming at providing experimental evidences for clinical hy-perthermia. Methods Hela cells were heated at 37 ～ 70 ℃ in temperature-controlled water baths, the tempera-ture was divided into nine groups,each time was divided into eight subgroups (1 ～ 30 min). The morphology changes of cells after hyperthermia were detected by inverted microscope. Proliferation rates were measured by MTT colorimetric assay. The apoptesis rates were determined by flow eytometric analyse. The levels of prolifera-ring cell nuclear antigen (PCNA) were measured with immunohistochemistry. Results lnereaseing the heating time at the same temperature, or increaseing heating temperature at the same time, the cell proliferation, survival rates and PCNA expression decreased. There was no significant morphological change about cells ,but have small amount of apoptosis and a direct role of the suppression and destruction at 41 ℃ and 43 ℃ group. A large num-ber of cells shrinked to round and a major role for apoptosis at 46℃ group. Cell necrosis was major role at 50 ℃and 55 ℃ group. More than 55 ℃ for necrotic cells. Conclusion With the increase of heating temperature and heating time, its treatment of Hela cells gradually enhance. So combining dose-effect relationship of hyperthermia temperature and time can reach the best therapeutic effects.

BACKGROUND: Hepatic fibrosis (HF) is a common pathological feature of chronic hepatic diseases. We aimed to illuminate the significance of amniotic mesenchymal stem cells (AMSCs)-derived extracellular vesicles (AMSCs-EVs) in HF. METHODS: Human AMSCs-EVs were isolated and identified. HF mice were constructed and treated with EVs. The fibrosis was observed by staining experiments and Western blot (WB) assay. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and hepatic hydroxyproline (Hyp) were detected to confirm liver function.For the in vitro experiments, human hepatic stellate cells were induced with transforming growth factor-b and treated with EVs. To measure the degree of HF, the expression of alpha-smooth muscle actin (a-SMA) and Collagen I was detected by WB assay, and cell proliferation was detected by cell counting kit 8 assay. The levels of miR-200a, Zinc finger E-box binding homeobox 1 (ZEB1), and phosphoinositide-3-kinase regulatory subunit 3 (PIK3R3) were detected by WB and realtime quantitative polymerase chain reaction. The binding of ZEB1 to PIK3R3 and miR-200a to ZEB1 was analyzed by chromatin immunoprecipitation and dual luciferase assays to validate their relationships. RESULTS: Human AMSCs and AMSCs-EVs were obtained. Serum ALT, AST, TBIL, and hepatic Hyp were increased, implying the fibrosis degree was aggravated in HF mice, which was decreased again after EV treatment. EVs inhibited HF degree by reducing a-SMA and Collagen I and promoting cell proliferation. AMSCs-EVs delivered miR-200a into hepatocytes, which up-regulated miR-200a expression, inhibited ZEB1 expression, and reduced its enrichment on the PIK3R3 promoter, therefore inhibiting PIK3R3 expression and alleviating HF. Overexpression of ZEB1 or PIK3R3 attenuated the anti-fibrotic effect of AMSCs-EVs. CONCLUSION Human AMSCs-derived EVs mediated miR-200a delivery and inhibition of intracellular ZEB1/PIK3R3 axis to exert anti-fibrosis effects.

PURPOSE: Prolactinoma (prolactin-secreting pituitary adenoma) is one of the most common estrogen-related functional pituitary tumors. As an agonist of the dopamine D2 receptor, bromocriptine is used widely to inhibit prolactinoma progression. On the other hand, it is not always effective in clinical application. Although a dopamine D2 receptor deficiency contributes to the impaired efficiency of bromocriptine therapy to some extent, it is unknown whether there some other underlying mechanisms leading to bromocriptine resistance in prolactinoma treatment. That is the main point addressed in this project. MATERIALS AND METHODS: Human prolactinoma samples were used to analyze the S-phase kinase associated protein 2 (SKP2) expression level. Nutlin-3/adriamycin/cisplatin-treated GH3 and MMQ cells were used to analyze apoptosis in SKP2 overexpression or knockdown cells. SKP2 expression and the interaction partners of SKP2 were also detected after a bromocriptine treatment in 293T. Apoptosis was analyzed in C25 and bromocriptine-treated GH3 cells. RESULTS: Compared to normal pituitary samples, most prolactinoma samples exhibit higher levels of SKP2 expression, which could inhibit apoptosis in a p53-dependent manner. In addition, the bromocriptine treatment prolonged the half-life of SKP2 and resulted in SKP2 overexpression to a greater extent, which in turn compromised its pro-apoptotic effect. As a result, the bromocriptine treatment combined with C25 (a SKP2 inhibitor) led to the maximal apoptosis of human prolactinoma cells. CONCLUSION: These findings indicated that SKP2 inhibition sensitized the prolactinoma cells to bromocriptine and helped promote apoptosis. Moreover, a combined treatment of bromocriptine and C25 may contribute to the maximal apoptosis of human prolactinoma cells.
Apoptosis* ; Bromocriptine ; Half-Life ; Hand ; Humans* ; Pituitary Neoplasms ; Prolactinoma* ; Receptors, Dopamine D2 ; S-Phase Kinase-Associated Proteins

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

OBJECTIVE: To investigate the outcomes of hybrid procedure in treating 10 infants/children with pulmonary stenosis under transesophageal echocardiographic guidance.
 METHODS: Between September, 2009 and December, 2015, 10 infants/children underwent hybrid procedure of transthoracic balloon pulmonary valvuloplasty for pulmonary stenosis in the Second Xiangya Hospital, Central South University. The age, height and weight at the time of admission were 0.7-42 (14.8±15.8) months, 53-97 (74.8±16.3) cm, and 4-15.5 (9.3±4.1) kg, respectively. Atrial septal defect, patent foramen ovale, patent ductus arteriosus, muscular ventricular septal defect, persistent left superior vena cava and tricuspid regurgitation were found in 2, 6, 1, 2, 1 and 5 cases, respectively.
 RESULTS: After the operation, all patients were sent into ICU. The mean duration mechanical ventilation, ICU stay and hospitalization were 0.5-41(6.8±12.3) h, 2-85 (31.1±22.8) h, and 6-20 (11.4±5.1) d, respectively. Postoperative transvalvular pressure gradient reduced to 16-45 (31.1±9.8) mmHg, which was decreased significantly compared with that in preoperative (P<0.001). There was no death during hospitalization and follow-up.
 CONCLUSION Hybrid procedure of transthoracic balloon pulmonary valvuloplasty for pulmonary stenosis under transesophageal echocardiographic guidance is a safe and effective treatment.
Child ; Echocardiography, Transesophageal ; Heart Septal Defects, Atrial ; Heart Septal Defects, Ventricular ; Humans ; Infant ; Pulmonary Valve Stenosis ; Treatment Outcome