OBJECTIVE To investigate the effect and mechanism of modified Lichong decoction （MLCD） on the apoptosis of transplanted tumor cells in nude mice. METHODS Human gastric cancer AGS cells were cultured， and a nude mice transplanted tumor model was established. The nude mice were divided into the model group and MLCD low-， medium- and high-dose groups （150， 300， 600 mg/kg）. They were given distilled water or the corresponding drug solution by gavage once daily for four consecutive weeks. The size of transplanted tumors in nude mice was measured every six days， and the tumor volume was calculated. After the medication， the nude mice were sacrificed， and the transplanted tumor tissues were isolated. The contents of lactate dehydrogenase （LDH） and reactive oxygen species （ROS） in the transplanted tumor tissues were detected， and the changes in mitochondrial membrane potential were assessed. The pathological morphological changes were observed. The enzymatic activities of caspase-3， caspase-8， and caspase-9， as well as protein expressions of Fas and FasL and mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL in the transplanted tumor tissues， were detected. RESULTS Compared with the model group， the volume of transplanted tumors in nude mice from all MLCD dose groups was reduced to varying degrees. The contents of LDH and ROS， as well as the enzymatic activities of caspase-3， caspase-8 and caspase-9， were significantly increased/enhanced. The mitochondrial membrane potential was significantly decreased. The protein expressions of Fas and FasL， and the mRNA expressions of caspase-3， caspase-8， caspase-9， Fas and FasL were significantly up-regulated. Most of these differences were statistically significant （ P ＜0.05 or P ＜0.01）. Pathological results showed that with increasing doses of MLCD， the cellular density in the transplanted tumor tissues gradually decreased， and typical morphological features of apoptosis， such as loosening and increasing fragmentation， became more prominent. CONCLUSIONS MLCD can induce apoptosis in transplanted tumor cells of nude mice， and its mechanism may be related to the activation of the Fas/FasL pathway and the caspase apoptotic pathway.

AIM: To compare the changes in corneal epithelial thickness(CET)after small incision lenticule extraction(SMILE)and femtosecond laser-assisted in situ keratomileusis(FS-LASIK).METHODS: A total of 187 patients(187 eyes)who underwent either SMILE or FS-LASIK at Urumqi Aier Eye Hospital between December 2022 and November 2023 were collected. The patients were divided into SMILE group and FS-LASIK group according to surgical methods. The CET of the patients was measured by optical coherence tomography(OCT)system before surgery and at 1 wk, 1, 3, and 6 mo postoperatively.RESULTS: Changes in corneal epithelial thickness(△CET)in the central, paracentral, and mid-peripheral regions were compared at 6 mo postoperatively. The SMILE group was characterized by the most significant thickening in the central area and the least thickening in the mid-peripheral area; while the FS-LASIK group was characterized by the most significant thickening in the paracentral area and the least thickening in the mid-peripheral region. At 1 wk, 1, 3, and 6 mo postoperatively, within the 0-7 mm corneal area, the △CET for both the SMILE and FS-LASIK groups was correlated with the preoperative spherical equivalent.CONCLUSION: Within 6 mo postoperatively, both SMILE and FS-LASIK showed a similar trend in epithelial thickening but with distinct characteristics. The change in corneal epithelial thickness for both procedures was positively correlated with the preoperative diopter.

AIM: To observe the changes of corneal densitometry(CD)and higher-order aberrations after small incision lenticule extraction(SMILE), and to explore their correlations and influencing factors.METHODS: Prospective study. A total of 62 high-degree myopia and compound myopic astigmatism patients(62 eyes)who underwent SMILE in Urumqi Aier Eye Hospital from December 2022 to November 2023 were collected. The CD, root mean square of corneal higher-order aberrations(RMS HOA), spherical aberration, vertical coma, horizontal coma, and corneal epithelial thickness(CET)of the patients were measured before surgery, and at 1 d, 1 wk, 1, 3, and 6 mo after surgery, respectively.RESULTS:There were 4 patients lost to follow-up during the period, all due to failure to attend scheduled reexaminations. The number of complete and valid cases was 58 eyes. The CD in the central and paracentral regions of the anterior, middle, and total layer of the cornea increased significantly on the first day after surgery(all P<0.003). At 6 mo after surgery, there was a slight but statistically significant decrease in the CD of the central and paracentral regions of the anterior and the total anterior layer(all P<0.003). Compared with the preoperative baseline values, the RMS HOA, spherical aberration, and vertical coma significantly increased at 6 mo after surgery(all P<0.003), while the change in horizontal coma was not statistically significant. Compared with the preoperative baseline values, the CET in the central, paracentral, and peripheral regions of the cornea, as well as the total average CET in the 0-7 mm range of the cornea increased at 6 mo after surgery(all P<0.003). At 1 d after surgery, CD of the anterior layer and total layer in the central region of the cornea were positively correlated with the CET in the central region(rs=0.327, rs=0.250, all P<0.05). At 6 mo after the surgery, the CD of the middle layer and posterior layer in the central corneal region were negatively correlated with the preoperative spherical equivalent and the change of RMS HOA(all P<0.05).CONCLUSION:The anterior CD decreases at 6 mo after SMILE for high myopia correction, and there is a certain correlation between the changes in CD and some clinical parameters.

Objective:To evaluate the effect of robot-assisted laparoscopic technology via abdominal approach for patients with primary retroperitoneal tumors.Methods:A retrospective cohort analysis was conducted for the clinical data of 71 patients who underwent robot-assisted laparoscopic resection of primary retroperitoneal tumor via abdominal approach at the Department of Urology of Sir Run Run Shaw Hospital,Zhejiang University School of Medicine from January 2015 to December 2023. There were 35 male and 36 female patients. The age ( M(IQR)) was 56(21) years (range: 21 to 83 years). The median tumor diameter was 46 (31) mm (range: 15 to 134 mm). Postoperative pathology revealed 58 benign and 13 malignant cases. Patients were divided into non-adherent group ( n=47) and adherent group ( n=24) based on whether the tumor was adhered to major organs or vessels. Perioperative and postoperative situation were compared between the two groups. Data comparisons were conducted using independent samples t-test for normally distributed continuous variables, Mann-Whitney U tests for non-normally distributed data, χ2 test or Fisher′s exact test for categorical variables. Kaplan-Meier survival analysis was employed to estimate 3-year recurrence or metastasis rate and 3-year mortality rate. Results:Operative time was 120(60) minutes (range: 45 to 440 minutes), intraoperative blood loss was 50 (80) ml (range: 10 to 2 000 ml). The median change of intraoperative mean arterial pressure was 40 (19) mmHg(1 mmHg=0.133 kPa)(range: 10 to 112 mmHg). Intraoperative blood transfusion was required in 7 cases, whereas 64 cases did not necessitate transfusion. The change in hemoglobin levels before and after surgery was (17.9±13.6) g/L (range:-16 to 53 g/L), and the median change in serum creatinine levels was 2.0 (14.5) μmol/L (range:-71.0 to 100.4 μmol/L). Postoperative fasting duration was 2.0 (1.5) days (range: 1 to 6 days), and the median hospital stay was 10.0 (7.5) days (range: 4 to 24 days). No perioperative mortality occurred in any of the patients. The non-adherent group had shorter operation time, less estimated blood loss, lower blood transfusion rate, smaller delta value of hemoglobin before and after surgery, larger delta value of creatinine before and after surgery, fewer postoperative complications, shorter postoperative fasting time, and shorter length of hospital stay than the adherent group(all P<0.05), while there was no significant difference in mean arterial pressure fluctuation between the two groups ( P>0.05). Follow-up data were available for 69 patients, with a median follow-up duration of 39 (43) months (range: 4 to 88 months). Among these patients, 40 completed the 3-year follow-up. The 3-year recurrence or metastasis rate was 10.14%, and the 3-year mortality rate was 2.90%. Conclusions:Robot-assisted laparoscopic technology via abdominal approach for resection of primary retroperitoneal tumors is safe and feasible. It can also achieve secure surgical outcome for primary retroperitoneal tumors adherent to surrounding organs or vessels, albeit with increased surgical complexity and slower postoperative recovery compared to non-adherent cases.

Cholangiocarcinoma (CCA) is a fatal malignancy with steadily increasing incidence and poor prognosis. Since most CCA cases are diagnosed at an advanced stage, systemic therapies, including chemotherapy, radiotherapy, targeted therapy, and immunotherapy, play a crucial role in the management of unresectable CCA. The recent advances in targeted therapies and immunotherapies brought more options in the clinical management of unresectable CCA. This review depicts the advances of targeted therapies and immunotherapies for unresectable CCA, summarizes crucial clinical trials, and describes the efficacy and safety of different drugs, which may help further develop precision and individualization in the clinical treatment of unresectable CCA.
Humans ; Cholangiocarcinoma/drug therapy* ; Immunotherapy/methods* ; Bile Duct Neoplasms/drug therapy* ; Molecular Targeted Therapy/methods*

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective To compare blood flow velocity measurements obtained using two different color Doppler imaging(CDI)devices with linear probes of varying frequencies.Methods CDI measurements were performed in 99 eyes of 50 participants from Shenyang Aier Excellent Eye Hospital using two different CDI devices,Apogee Type3500 and Esaote MyLab 7 eHD.These measurements included peak systolic velocity(PSV),end-diastolic velocity(EDV),and resistance index(RI)of the ophthalmic artery(OA),central retinal artery(CRA),and short posterior ciliary arteries(SPCA).The differences in measurements between the two devices were analyzed using a paired t-test.The level of agreement between the two CDI devices was calculated using the Bland-Altman method,and the concordance correlation co-efficient(CCC)was calculated.Results There was a statistically significant difference between the two CDI devices in the PSV,EDV of the OA,CRA,and SPCA,and RI of the CRA and SPCA.The PSV and EDV of each vessel were higher in Apogee than in Esaote,and the RI of the CRA and SPCA were lower for Apogee than for Esaote(P＜0.05).The CCC demonstrated poor overall concordance ranging from 0.136 to 0.517.Conclusion The consistency of most measurements obtained from both devices is poor.CDI inter-device reproducibility is unreliable,even when the measurements are conducted consecutively by a single experienced ultrasonographer.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective To compare blood flow velocity measurements obtained using two different color Doppler imaging(CDI)devices with linear probes of varying frequencies.Methods CDI measurements were performed in 99 eyes of 50 participants from Shenyang Aier Excellent Eye Hospital using two different CDI devices,Apogee Type3500 and Esaote MyLab 7 eHD.These measurements included peak systolic velocity(PSV),end-diastolic velocity(EDV),and resistance index(RI)of the ophthalmic artery(OA),central retinal artery(CRA),and short posterior ciliary arteries(SPCA).The differences in measurements between the two devices were analyzed using a paired t-test.The level of agreement between the two CDI devices was calculated using the Bland-Altman method,and the concordance correlation co-efficient(CCC)was calculated.Results There was a statistically significant difference between the two CDI devices in the PSV,EDV of the OA,CRA,and SPCA,and RI of the CRA and SPCA.The PSV and EDV of each vessel were higher in Apogee than in Esaote,and the RI of the CRA and SPCA were lower for Apogee than for Esaote(P＜0.05).The CCC demonstrated poor overall concordance ranging from 0.136 to 0.517.Conclusion The consistency of most measurements obtained from both devices is poor.CDI inter-device reproducibility is unreliable,even when the measurements are conducted consecutively by a single experienced ultrasonographer.

Objective:To evaluate the effect of robot-assisted laparoscopic technology via abdominal approach for patients with primary retroperitoneal tumors.Methods:A retrospective cohort analysis was conducted for the clinical data of 71 patients who underwent robot-assisted laparoscopic resection of primary retroperitoneal tumor via abdominal approach at the Department of Urology of Sir Run Run Shaw Hospital,Zhejiang University School of Medicine from January 2015 to December 2023. There were 35 male and 36 female patients. The age ( M(IQR)) was 56(21) years (range: 21 to 83 years). The median tumor diameter was 46 (31) mm (range: 15 to 134 mm). Postoperative pathology revealed 58 benign and 13 malignant cases. Patients were divided into non-adherent group ( n=47) and adherent group ( n=24) based on whether the tumor was adhered to major organs or vessels. Perioperative and postoperative situation were compared between the two groups. Data comparisons were conducted using independent samples t-test for normally distributed continuous variables, Mann-Whitney U tests for non-normally distributed data, χ2 test or Fisher′s exact test for categorical variables. Kaplan-Meier survival analysis was employed to estimate 3-year recurrence or metastasis rate and 3-year mortality rate. Results:Operative time was 120(60) minutes (range: 45 to 440 minutes), intraoperative blood loss was 50 (80) ml (range: 10 to 2 000 ml). The median change of intraoperative mean arterial pressure was 40 (19) mmHg(1 mmHg=0.133 kPa)(range: 10 to 112 mmHg). Intraoperative blood transfusion was required in 7 cases, whereas 64 cases did not necessitate transfusion. The change in hemoglobin levels before and after surgery was (17.9±13.6) g/L (range:-16 to 53 g/L), and the median change in serum creatinine levels was 2.0 (14.5) μmol/L (range:-71.0 to 100.4 μmol/L). Postoperative fasting duration was 2.0 (1.5) days (range: 1 to 6 days), and the median hospital stay was 10.0 (7.5) days (range: 4 to 24 days). No perioperative mortality occurred in any of the patients. The non-adherent group had shorter operation time, less estimated blood loss, lower blood transfusion rate, smaller delta value of hemoglobin before and after surgery, larger delta value of creatinine before and after surgery, fewer postoperative complications, shorter postoperative fasting time, and shorter length of hospital stay than the adherent group(all P<0.05), while there was no significant difference in mean arterial pressure fluctuation between the two groups ( P>0.05). Follow-up data were available for 69 patients, with a median follow-up duration of 39 (43) months (range: 4 to 88 months). Among these patients, 40 completed the 3-year follow-up. The 3-year recurrence or metastasis rate was 10.14%, and the 3-year mortality rate was 2.90%. Conclusions:Robot-assisted laparoscopic technology via abdominal approach for resection of primary retroperitoneal tumors is safe and feasible. It can also achieve secure surgical outcome for primary retroperitoneal tumors adherent to surrounding organs or vessels, albeit with increased surgical complexity and slower postoperative recovery compared to non-adherent cases.