OBJECTIVETo recognize the characteristics of desmoplastic small round cell tumor (DSRCT) and improve the standard of diagnosis.

METHODSWe retrospectively reviewed the clinical data on the treatment of 2 patients with DSRCT in terms of their conditions, tissue sources, pathologic characteristics, immunohistochemical methods, clinical manifestation, diagnosis, treatment and prognosis.

RESULTSClinical manifestations were complicated. The 2 patients were mis diagnosed before operation. Their tumors consisted of irregular nests of small and round cells, with nuclear hyperchromatism and scant cytoplasm embedded in a plenty of fibrous connective tissues. The edge of the nest was clear, with different sizes and shapes. Immunohistochemically, the 2 patients were positive for CK or EMA, NSE, des and vim of the epithelium, nerve, muscle and interstitial. They died 9 months after operation.

CONCLUSIONSThe tumor may occur in the abdomen, pelvic cavity and other sites, with different clinical manifestations. Routine examination should be replaced by immunohistochemical test for correct diagnosis of the tumor. Prognosis of most patients is not good.

Adolescent ; Carcinoma, Small Cell ; diagnosis ; Female ; Humans ; Immunohistochemistry ; Male ; Middle Aged ; Neoplasms, Connective Tissue ; diagnosis ; Retrospective Studies

OBJECTIVETo explore the impact of plasma homocysteinemia(Hcy) on contrast-induced nephropathy (CIN) after percutaneous coronary intervention (PCI) in acute coronary syndrome (ACS) patients.

METHODSConsecutive 684 ACS patients undergoing first PCI in our department between January 2013 and December 2014 were prospectively enrolled.Patients were divided into 2 groups according to the pre-procedural plasma Hcy level: high-Hcy group (Hcy≥10 μmol/L, n=404) and control group (Hcy<10 μmol/L, n=280). The CIN was defined as serum creatinine ≥ 44.2 μmol/L or 25% increase compared to baseline within 48-72 h after PCI.The baseline clinical data and the ratio of CIN were compared between the 2 groups.Multivariate logistic regression analysis was used to define the independent risk factors for CIN.

RESULTSCIN occurred in 133(19.4%) out of 684 enrolled patients, and the incidence of CIN was significantly higher in high Hcy group than in the control group (22.0%(89/404)vs. 15.7%(44/280), P=0.040). After adjusting the confounding factors, including age, acute myocardial infarction, co-morbidities(hypertension, diabetes mellitus, and old myocardial infarction), laboratory examination (level of cystatin C and uric acid), glomerular filtration rate, left ventricular ejection fraction, angiographic and procedural characteristics (3 diseased vessels, multiple stent implantation), treatment at admission (spironolactone, digoxin), multivariate logistic regression analysis showed that high Hcy was independently associated with the development of CIN (OR=1.70, 95%CI 1.60-2.64, P=0.021).

CONCLUSIONElevated Hcy prior PCI is an independent risk factor of CIN in ACS patients undergoing first PCI.

Acute Coronary Syndrome ; Diabetes Mellitus ; Glomerular Filtration Rate ; Humans ; Hyperhomocysteinemia ; Incidence ; Kidney Diseases ; Myocardial Infarction ; Percutaneous Coronary Intervention ; Risk Factors ; Ventricular Function, Left

OBJECTIVETo investigate the prognostic factors of colorectal cancer patients with liver metastasis in order to provide reference for clinical practice.

METHODSClinicopathological and follow-up data of 264 cases of colorectal liver metastasis in our department from January 1997 to January 2012 were analyzed retrospectively. Among these 264 patients, 217 underwent primary colorectal cancer resection, 33 underwent combined resection of primary colorectal lesion plus liver metastasis, and 14 received stoma creation alone. Besides, 197 patients received adjuvant chemotherapy, 14 received adjuvant radiotherapy, and 42 underwent interventional treatment. Clinicopathological features and treatment scheme affecting prognosis were analyzed and prognostic stratification analysis was performed according to emergence time of liver metastasis (synchronous or metachronous).

RESULTSOf 264 patients, 1-, 3-, and 5-year overall survival rates were 77.0%, 31.7%, and 14.0%; median survival time was 25 months; 1-, 3-, and 5-year survival rates of synchronous colorectal liver metastasis were 68.8%, 22.3%, and 7.7%; 1-, 3-, and 5-year survival rates of metochronous colorectal liver metastasis were 95.8%, 49.0%, and 21.3%, whose difference was statistically significant (P<0.05). Multivariate analysis showed that primary tumor differentiation, CEA level, adjuvant chemotherapy, and radical resection were independent prognostic factors of colorectal cancer patients with liver metastasis (all P<0.05), while primary tumor differentiation, CEA level, and radical resection were independent prognostic factors of synchronous liver metastasis (all P<0.05), and primary tumor location and CEA level were independent prognostic factors of metachronous liver metastasis (all P<0.05).

CONCLUSIONSRadical operation and adjuvant chemotherapy should be emphasized for colorectal liver metastasis, especially for synchronous colorectal liver metastasis. Simple resection of primary tumor can not improve the overall survival of patients with colorectal liver metastasis.

Chemotherapy, Adjuvant ; Colorectal Neoplasms ; pathology ; Hepatectomy ; Humans ; Liver Neoplasms ; diagnosis ; secondary ; therapy ; Multivariate Analysis ; Prognosis ; Retrospective Studies ; Survival Rate

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 prognostic factors of colorectal cancer patients with liver metastasis in order to provide reference for clinical practice. Methods Clinicopathological and follow-up data of 264 cases of colorectal liver metastasis in our department from January 1997 to January 2012 were analyzed retrospectively. Among these 264 patients , 217 underwent primary colorectal cancer resection, 33 underwent combined resection of primary colorectal lesion plus liver metastasis, and 14 received stoma creation alone. Besides, 197 patients received adjuvant chemotherapy, 14 received adjuvant radiotherapy, and 42 underwent interventional treatment. Clinicopathological features and treatment scheme affecting prognosis were analyzed and prognostic stratification analysis was performed according to emergence time of liver metastasis (synchronous or metachronous). Results Of 264 patients, 1-, 3-, and 5-year overall survival rates were 77.0%, 31.7%, and 14.0%; median survival time was 25 months; 1-, 3-, and 5-year survival rates of synchronous colorectal liver metastasis were 68.8%, 22.3%, and 7.7%; 1-, 3-, and 5-year survival rates of metochronous colorectal liver metastasis were 95.8%, 49.0%, and 21.3%, whose difference was statistically significant (P<0.05). Multivariate analysis showed that primary tumor differentiation, CEA level, adjuvant chemotherapy, and radical resection were independent prognostic factors of colorectal cancer patients with liver metastasis (all P<0.05), while primary tumor differentiation, CEA level, and radical resection were independent prognostic factors of synchronous liver metastasis (all P<0.05), and primary tumor location and CEA level were independent prognostic factors of metachronous liver metastasis (all P<0.05). Conclusions Radical operation and adjuvant chemotherapy should be emphasized for colorectal liver metastasis, especially for synchronous colorectal liver metastasis. Simple resection of primary tumor can not improve the overall survival of patients with colorectal liver metastasis.

Objective To investigate the prognostic factors of colorectal cancer patients with liver metastasis in order to provide reference for clinical practice. Methods Clinicopathological and follow-up data of 264 cases of colorectal liver metastasis in our department from January 1997 to January 2012 were analyzed retrospectively. Among these 264 patients , 217 underwent primary colorectal cancer resection, 33 underwent combined resection of primary colorectal lesion plus liver metastasis, and 14 received stoma creation alone. Besides, 197 patients received adjuvant chemotherapy, 14 received adjuvant radiotherapy, and 42 underwent interventional treatment. Clinicopathological features and treatment scheme affecting prognosis were analyzed and prognostic stratification analysis was performed according to emergence time of liver metastasis (synchronous or metachronous). Results Of 264 patients, 1-, 3-, and 5-year overall survival rates were 77.0%, 31.7%, and 14.0%; median survival time was 25 months; 1-, 3-, and 5-year survival rates of synchronous colorectal liver metastasis were 68.8%, 22.3%, and 7.7%; 1-, 3-, and 5-year survival rates of metochronous colorectal liver metastasis were 95.8%, 49.0%, and 21.3%, whose difference was statistically significant (P<0.05). Multivariate analysis showed that primary tumor differentiation, CEA level, adjuvant chemotherapy, and radical resection were independent prognostic factors of colorectal cancer patients with liver metastasis (all P<0.05), while primary tumor differentiation, CEA level, and radical resection were independent prognostic factors of synchronous liver metastasis (all P<0.05), and primary tumor location and CEA level were independent prognostic factors of metachronous liver metastasis (all P<0.05). Conclusions Radical operation and adjuvant chemotherapy should be emphasized for colorectal liver metastasis, especially for synchronous colorectal liver metastasis. Simple resection of primary tumor can not improve the overall survival of patients with colorectal liver metastasis.

[Abstract] Objective: To investigate the effect and mechanism of sevoflurane on the proliferation and invasion of colon cancer SW480 cells and the growth of transplanted tumor in nude mice by regulating the phosphorylation of PI3K. Methods: Colon cancer SW480 cells were treated with sevoflurane and randomly divided into control group, 0.5% sevoflurane group, 1.0% sevoflurane group and 2.0% sevoflurane group for subsequent experiments. The proliferation ability of SW480 cells was detected by Clone formation assay, mRNA expression levels of MDM2 and survivin in cells were detected by RT-PCR, invasion ability of cells was detected by Transwell assay, and protein expression levels of MDM2, survivin, VEGF, PI3K, p-PI3K, AKT and p-AKT were detected by Western blotting. PI3K activator 740Y-P was added for verification. SW480 cell transplanted tumor model was constructed on nude mice, and the tumor mass was weighed. The positive expression rates of MDM2 and VEGF in the transplanted tumor tissues were detected by Immunohistochemistry. Results: As compared with the control group and the low-dose group, the clone formation rate of SW480 cells and the number of invaded cells in the 1.0% and 2.0% sevoflurane groups were significantly decreased (all P<0.01), the mRNA and protein levels of MDM2 in the cells were significantly increased (all P<0.01), while the mRNA and protein levels of survivin were significantly decreased (all P<0.01); and the protein levels of VEGF, p-PI3K/PI3K and p-AKT/AKT were significantly decreased (all P<0.01). 740Y-P could reverse the effect of sevoflurane on the proliferation, invasion and expression of proteins associated with the PI3K/AKT signaling pathway in SW480 cells. The mass of transplanted tumor in 2.0% sevoflurane group was significantly decreased (P<0.01), and the positive MDM2 expression rate in tumor tissues was significantly increased (P<0.01), while the positive VEGF expression rate was significantly decreased (P<0.01). Conclusion: Sevoflurane inhibits the proliferation and invasion of colon cancer SW480 cells and the growth of xenografts in nude mice possibly by inhibiting PI3K phosphorylation.

Humans ; Cohort Studies ; Body Mass Index ; Percutaneous Coronary Intervention ; Coronary Artery Disease ; Inflammation ; Treatment Outcome ; Risk Factors