Purpose To investigate the value of pre-treatment relative cerebral blood flow(rCBF)and relative cerebral blood volume histogram of dynamic susceptibility contrast-enhanced perfusion weighted imaging in predicting the chemotherapy response of primary central nervous system lymphoma(PCNSL)patients.Materials and Methods Thirty-eight PCNSL patients with fifty-seven lesions treated with high-dose methotrexate chemotherapy from September 2016 to October 2023 were retrospectively involved in the study.The patients were divided into response group of 30 patients and non-response group of 8 patients.Region of interest was drawn in cerebral blood flow and cerebral blood volume images,and histogram paraments were extracted.Univariate and multivariate Logistic regression analysis were performed to identify the independent predictors for chemotherapy response in PCNSL,and then combined prediction model was constructed.The area under the receiver operating characteristic curve was used to compare the predictive performance of different paraments and combined model.Results The number of lesions(OR=9.726,95％CI 1.070-88.397,P=0.043)and rCBF90(OR=0.224,95％CI 0.072-0.704,P=0.010)were the independent predictors for chemotherapy response with the area under the curve of 0.681 and 0.798,respectively.The combined model of rCBF90 and the numbers of lesions showed the best predictive performance with the area under the curve of 0.846.Conclusion The pre-treatment quantitative parameters rCBF and relative cerebral blood volume of dynamic susceptibility contrast-enhanced perfusion weighted imaging could be used for predicting the response to high-dose methotrexate chemotherapy in PCNSL patients,and the rCBF90 is an independent predictor of chemotherapy response.

Purpose To construct the model of differentiating primary central nervous system lymphoma(PCNSL)and atypical glioblastoma(GBM)by combining multi-parameter MRI radiomics and six machine learning algorithms,thus to compare the diagnostic efficacy of different machine learning algorithms.Materials and Methods The clinical and imaging data of 77(125 lesions)PCNSL and 90 atypical GBM(108 lesions)from PLA General Hospital and public databases were retrospectively analyzed from January 2013 to December 2023,and all patients were randomly divided into a training set(163 cases)and a validation set(70 cases)according to 7∶3.T1WI,T2WI and T1-weighted contrast-enhanced sequences were selected for tumor segmentation,and 1 132 radiomics features were extracted from each region of interest.The intraclass correlation coefficient(ICC)was used for the consistency test,and image features with ICC≥0.85 were selected.ICC and recursive feature elimination were used to select the best radiomics features.Six classifiers were used to train and verify three single sequence feature sets,three double-sequence sets and one multi-sequence set.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the model.Results The combination model of the support vector machine of radial basis function classifier and multi-sequence feature set were the best model for differentiating PCNSL and atypical GBM.The area under the curve of the training set and the validation set were 0.969 and 0.913,respectively;and the accuracy were both 0.886.Conclusion Noninvasive extraction of multiparametric MRI features combined with machine learning algorithms can effectively differentiate PCNSL and atypical GBM,which provides support for the development of individualized treatment plans for patients.

The Mayo Clinic in the United States is a non-profit medical institution that integrates clinical practice, education, and research. It has maintained a global top hospital brand image for a long time and its management ideas have been widely recognized and appreciated by the industry. From the perspective of strategic management, this study elaborated on the core values of Mayo Clinic, the multidisciplinary team cooperation diagnosis and treatment model, the high fixed salary salary system, the management model of doctor leadership-operation supervisor cooperation, the business mission of integrated clinical practice, education, and research, and the management points of digital marketing, which could provide references for the high-quality development and brand building of hospitals in China.

Objective:To classified the fluid location of of grade B and C postoperative pancreatic fistula (POPF) and propose processing flow.Methods:Data from 232 patients who underwent pancreatic surgery from January 2018 to December 2022 at Department of General Surgery & Hepato-billo-pancreatic,Beijing Hospital were collected retrospectively. Forty-six patients who suffered from grade B and C POPF underwent ultrasound-guided drainage. There were 32 males and 14 females, with an age of (60.2±13.7)years (range:18 to 85 years). The imaging data of postoperative CT were collected and the the fluid location was classified. Then analyzed the drainage status when patents were diagnosed as POPF. Machine learning was performed and a random forest model was applied to construct the relationship between intervention time and mortality. The optimal intervention time was calculated. The patients were then divided into early and late intervention groups and clinical data and outcomes were compared using the t test,Mann-Whitney U test, χ2 test or Fisher′s exact test between the two groups. Results:Based on the results of the random forest model, the optimal puncture time was within 5.38 days after the diagnosis of POPF. Based on the optimal time, 21 patients were subsumed into early intervention group and 25 patients were subsumed into late intervention group. The location of fluid collection was classified into four types: peripancreatic (32.7%,15/46), extra-pancreatic and epigastric (41.3%,19/46), extra-pancreatic and hypogastic (13.0%,6/46) and diffused (13.0%,6/46). The status of the drainage included normal in 10 patients (21.8%), displaced drain in 18 patients (39.1%) and drain removed or blocked in 18 patients (39.1%). The perioperative mortality rate was 19.0% (4/21) in the early intervention group and 8.0%(2/25) in the late. The late intervention group had significantly higher rates of positive drainage fluid cultures (88.0%(22/25) vs. 42.9%(10/21), χ2=10.584, P=0.001), secondary surgery (24.0%(6/25) vs. 0(0/21), P=0.025), and readmission within 90 days(32.0%(8/25) vs. 4.8%(1/21), χ2=5.381, P=0.020) than the early group, and a significantly longer postoperative hospital stay( M(IQR))(24(20)days vs. 39(53)days, Z=3.023, P=0.003). Conclusions:The location of the POPF fluid collection is classified into four types. Early radiological evaluation can detect abdominal effusion promptly,and early puncture and drainage will be beneficial in improving outcomes in these patents.

Objective:To classified the fluid location of of grade B and C postoperative pancreatic fistula (POPF) and propose processing flow.Methods:Data from 232 patients who underwent pancreatic surgery from January 2018 to December 2022 at Department of General Surgery & Hepato-billo-pancreatic,Beijing Hospital were collected retrospectively. Forty-six patients who suffered from grade B and C POPF underwent ultrasound-guided drainage. There were 32 males and 14 females, with an age of (60.2±13.7)years (range:18 to 85 years). The imaging data of postoperative CT were collected and the the fluid location was classified. Then analyzed the drainage status when patents were diagnosed as POPF. Machine learning was performed and a random forest model was applied to construct the relationship between intervention time and mortality. The optimal intervention time was calculated. The patients were then divided into early and late intervention groups and clinical data and outcomes were compared using the t test,Mann-Whitney U test, χ2 test or Fisher′s exact test between the two groups. Results:Based on the results of the random forest model, the optimal puncture time was within 5.38 days after the diagnosis of POPF. Based on the optimal time, 21 patients were subsumed into early intervention group and 25 patients were subsumed into late intervention group. The location of fluid collection was classified into four types: peripancreatic (32.7%,15/46), extra-pancreatic and epigastric (41.3%,19/46), extra-pancreatic and hypogastic (13.0%,6/46) and diffused (13.0%,6/46). The status of the drainage included normal in 10 patients (21.8%), displaced drain in 18 patients (39.1%) and drain removed or blocked in 18 patients (39.1%). The perioperative mortality rate was 19.0% (4/21) in the early intervention group and 8.0%(2/25) in the late. The late intervention group had significantly higher rates of positive drainage fluid cultures (88.0%(22/25) vs. 42.9%(10/21), χ2=10.584, P=0.001), secondary surgery (24.0%(6/25) vs. 0(0/21), P=0.025), and readmission within 90 days(32.0%(8/25) vs. 4.8%(1/21), χ2=5.381, P=0.020) than the early group, and a significantly longer postoperative hospital stay( M(IQR))(24(20)days vs. 39(53)days, Z=3.023, P=0.003). Conclusions:The location of the POPF fluid collection is classified into four types. Early radiological evaluation can detect abdominal effusion promptly,and early puncture and drainage will be beneficial in improving outcomes in these patents.

Objective:To investigate the efficacy and safety of ixazomib-based therapy for multiple myeloma.Methods:The data of 32 patients with multiple myeloma treated with isazomib-based regimen in the Affiliated Hospital of Jining Medical University from December 2020 to December 2021 were retrospectively analyzed. Among 32 patients, 17 cases were relapsed/refractory, and the remaining 15 cases had initial treatment. The treatment regimens included ID (isazomib + dexamethasone), IRD (isazomib + lenalidomide + dexamethasone) and ICD (isazomib + cyclophosphamide + dexamethasone). The short-term curative effect and adverse reactions of relapsed/refractory patients and patients at initial onset were analyzed.Results:The overall response rate (ORR) of relapsed/refractory patients was 52.9% (9/17), of which 6 cases achieved complete remission (CR), 2 cases achieved very good partial remission (VGPR) and 1 case achieved partial remission (PR). The ORR of refractory patients receiving bortezomib therapy was 40.0% (4/10). The ORR of patients at initial onset who could be evaluated the curative effect was 100.0% (14/14), including 9 cases of CR, 2 cases of VGPR and 3 cases of PR. After treatment, 2 patients (6.2%) had grade Ⅲ-Ⅳ adverse events (1 case of herpes zoster and 1 case of thrombocytopenia), and none of the patients had grade Ⅲ-Ⅳ peripheral neuropathy.Conclusion:Isazomib is effective and safe in the treatment of initially treated and relapsed/refractory multiple myeloma.

Objective:To establish virus culture method and full genome sequencing method for severe acute respiratory syndrome coronavirus (2019-nCoV), and to illuminate the variation of 2019-nCoV.Methods:The pharyngeal swab specimens were inoculated into Vero-E6 cells for isolation, and the cytopathic effect were observed day by day, and the result of virus isolation were confirmed by Real-Time RT-PCR. Some isolated viruses were diluted 10 times to detect the virus titer. Full-genome of 2019-nCoV was sequenced with the whole genome capture technology and next generation sequencing technology. Phylogenetic analysis and molecular characterization for obtained 2019-nCoV sequences were undertaken.Results:Twenty-two 2019-nCoV strains were isolated with Vero-E6 cell line in the Biosafety Level-3 Laboratory (BSL-3). Eighteen full-genome sequences obtained (almost 29 000 nucleotide) were analyzed with 99.94%~100% identity and 28 nucleotides and 20 amino acids variations. Phylogenetic analysis showed that the 2019-nCoV sequences belonged to different clades, including clade S and clade L with Europe lineage L. I and Europe lineage L. II.1. Furthermore, 5 of 18 2019-nCoV harbor the D614G mutation.Conclusions:2019-nCoV were successfully isolated with Vero-E6 cells, and partially illuminated the phylogenetic characteristics, which provided a basis for subsequent drug screening and biological characteristics research. Continuous monitoring and analysis of the sequences of new cases would be vital to understand the genetic evolution and rates of substitution of the 2019-nCoV.

Programmed cell death ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) cascade is an effective therapeutic target for immune checkpoint blockade (ICB) therapy. Targeting PD-L1/PD-1 axis by small-molecule drug is an attractive approach to enhance antitumor immunity. Using flow cytometry-based assay, we identify tubeimoside-1 (TBM-1) as a promising antitumor immune modulator that negatively regulates PD-L1 level. TBM-1 disrupts PD-1/PD-L1 interaction and enhances the cytotoxicity of T cells toward cancer cells through decreasing the abundance of PD-L1. Furthermore, TBM-1 exerts its antitumor effect in mice bearing Lewis lung carcinoma (LLC) and B16 melanoma tumor xenograft

Programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) blocking therapy has become a major pillar of cancer immunotherapy. Compared with antibodies targeting, small-molecule checkpoint inhibitors which have favorable pharmacokinetics are urgently needed. Here we identified berberine (BBR), a proven anti-inflammation drug, as a negative regulator of PD-L1 from a set of traditional Chinese medicine (TCM) chemical monomers. BBR enhanced the sensitivity of tumour cells to co-cultured T-cells by decreasing the level of PD-L1 in cancer cells. In addition, BBR exerted its antitumor effect in Lewis tumor xenograft mice through enhancing tumor-infiltrating T-cell immunity and attenuating the activation of immunosuppressive myeloid-derived suppressor cells (MDSCs) and regulatory T-cells (Tregs). BBR triggered PD-L1 degradation through ubiquitin (Ub)/proteasome-dependent pathway. Remarkably, BBR selectively bound to the glutamic acid 76 of constitutive photomorphogenic-9 signalosome 5 (CSN5) and inhibited PD-1/PD-L1 axis through its deubiquitination activity, resulting in ubiquitination and degradation of PD-L1. Our data reveals a previously unrecognized antitumor mechanism of BBR, suggesting BBR is small-molecule immune checkpoint inhibitor for cancer treatment.

Objective:To analyze the clinical effect, adverse events and prognosis of microwave hyperthermia combined with radiotherapy in the treatment of patients with advanced gastric cancer.Methods:From May 2017 to May 2019, 80 patients with advanced gastric cancer admitted to Cancer Hospital of Shanxi Province were selected and divided into two groups according to the random digital table method, with 40 cases in each group.The control group was treated with radiotherapy, and the study group was treated with microwave hyperthermia on the basis of the control group.The clinical efficacy, adverse events and prognosis of the two groups were compared.Results:The total effective rate in the study group was 90.00%(36/40), which was higher than 70.00%(28/40) in the control group (χ 2=5.000, P<0.05). After treatment, the diameter of tumor in the study group was lower than that in the control group[(2.30±0.20)cm vs.(2.66±0.23)cm, t=7.470, P<0.05]. The incidence of adverse events in the study group was 10.00%(4/40), which was lower than 27.50%(11/40) in the control group(χ 2=4.020, P<0.05). The quality of life scores of the study group[physiological function (74.17±5.23)points, physical pain (73.07±5.49)points, general health (75.13±5.50)points, mental state (75.16±3.27)points and social function (75.49±3.24)points] were better than those of the control group[(62.55±5.70)points, (63.24±6.37)points, (65.72±5.30)points, (63.05±2.49)points, (65.34±4.59)points]( t=9.500, 7.393, 7.791, 18.634, 11.425, all P<0.05). Conclusion:Microwave hyperthermia combined with radiotherapy can reduce adverse events and improve the quality of life of patients with advanced gastric cancer.