The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Objective:To investigate the efficacy and prognostic value of baseline 18F-FDG PET/CT metabolism parameters in patients with stage Ⅲ-Ⅳ lung adenocarcinoma before epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) monotherapy. Methods:From January 2012 to June 2020, 61 patients (19 males, 42 females; median age: 64 years) with stage Ⅲ-Ⅳ lung adenocarcinoma who underwent baseline 18F-FDG PET/CT imaging before EGFR-TKI monotherapy in 1 month in Beijing Hospital were retrospectively analyzed. The clinical data and metabolic parameters including SUV max, SUV max of lean body mass (SUL max), peak of SUV of lean body mass (SUL peak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the hottest lesions on PET were analyzed. Patients were followed up to obtain the efficacy evaluation, progression-free survival (PFS) and overall survival (OS). ROC curve analysis was performed to obtain the optimal cut-off value of metabolic parameters to predict disease remission and prognosis. Kaplan-Meier method, log-rank test and Cox proportional risk regression model were used to analyze the prognostic factors. Results:After EGFR-TKI monotherapy, 42.9%(24/56) patients were in disease remission. The optimal cut-off values for predicting disease remission of SUL peak, SUV max, SUL max, MTV, and TLG were 5.9, 13.1, 11.1, 10.6 ml and 99.6 g, respectively. The remission rates of patients with SUV max>13.1, MTV>10.6 ml and TLG>99.6 g were significantly higher than those of patients with SUV max≤13.1(51.2%(21/41) vs 3/15; χ2=4.37, P=0.037), MTV≤10.6 ml (9/12 vs 36.6%(15/41); χ2=5.53, P=0.019) and TLG≤99.6 g (10/13 vs 35.0%(14/40); χ2=6.96, P=0.008). The follow-up period for survival was 0.05-6.80 years, and 10.3%(6/58) patients had no disease progression, and 44.3%(27/61) patients died. The optimal cut-off values of SUL peak, SUV max, SUL max, MTV, and TLG for PFS were 11.2, 17.0, 13.7, 2.7 ml and 14.8 g, and those for OS were 5.6, 14.3, 8.8, 2.8 ml and 37.3 g, respectively. Patients with never-smoking, SUV max≤17.0 and SUL peak≤11.2 had longer PFS ( χ2 values: 3.87-7.37, all P<0.05); never-smoking history (hazard ratio ( HR)=2.29, 95% CI: 1.08-4.87, P=0.031) and SUL peak≤11.2 ( HR=2.67, 95% CI: 1.35-5.27, P=0.005) were independent predictors for PFS. Patients with stage Ⅲ+ ⅣA, SUV max≤14.3, SUL peak≤5.6, SUL max≤8.8 and TLG≤37.3 g had longer OS ( χ2 values: 5.78-8.83, all P<0.05); stage Ⅲ+ ⅣA ( HR=2.81, 95% CI: 1.08-7.32, P=0.034) and SUL max≤8.8 ( HR=9.66, 95% CI: 1.25-74.91, P=0.030) were independent predictors for OS. Conclusions:Baseline 18F-FDG PET/CT imaging has good prospect in clinical application in patients with stage Ⅲ-Ⅳ lung adenocarcinoma before EGFR-TKI monotherapy. The higher baseline metabolic activity of tumor in the 18F-FDG PET/CT, the higher remission rate. Smoking history and SUL peak are independent predictors for PFS; SUL max and stage are independent predictors for OS.

Objective:To investigate the value of left ventricular systolic synchrony assessed by gated myocardial perfusion imaging(GMPI)in predicting major adverse cardiovascular events(MACE)in elderly patients with coronary heart disease(CHD).Methods:In this retrospective study, clinical data from elderly patients who had completed a two-day assessment of resting-loading GMPI between September 2012 and February 2014 in Beijing Hospital were collected, including the summed stress score(SSS)for total ischemic burden, measured by GMPI, left ventricular ejection fraction(LVEF), peak filling rate(PFR), phase band width(PBW), phase standard deviation(PSD)and phase entropy(PE).Follow-up of MACE was conducted.Independent risk factors for MACE were analyzed using a multifactorial Cox proportional hazards regression model, and the cumulative MACE incidence was analyzed using the Kaplan-Meier survival curve.Results:A total of 427 subjects were enrolled, including 200(46.8%)men, with a mean age of 74.1±6.5(60-92)years and 323(75.6%)aged ≥ 70 years.The median follow-up time was 54.7 months.At the end of follow-up, MACE occurred in 47 patients(11.0%).Compared with the group without MACE, the incidences of hypertension, hyperlipidemia, and hyperuricemia were significantly higher( χ2=5.20, 5.62, 3.86, all P<0.05), LVEF and PFR were significantly lower( t=-5.51, -5.23, both P<0.001), and SSS, PSD, PBW, and PE were significantly higher( Z=4.78, t=5.14, 5.78, 5.62, all P<0.001)in the MACE group.The results of Cox proportional hazards regression model analysis suggested that age ≥ 70(hazard ratio: 2.57, 95% CI: 1.08-6.13), abnormal perfusion(hazard ratio: 2.60, 95% CI: 1.31-5.15), increased PSD(hazard ratio: 3.72, 95% CI: 1.72-8.05)and increased PE(hazard ratio: 4.09, 95% CI: 1.94-8.63)were independent risk factors for the occurrence of MACE(all P<0.05).Further analysis on 323 patients ≥ 70 years indicated that abnormal perfusion(hazard ratio: 2.96, 95% CI: 1.40-6.26), increased PSD(hazard ratio: 3.51, 95% CI: 1.56-7.89), and increased PE(hazard ratio: 4.49, 95% CI: 2.08-9.71)were independent risk factors for MACE( P<0.05 for all). Conclusions:Parameters of GMPI systolic synchrony analysis can very well identify the population at high risk of MACE in elderly patients with CHD.

Animals ; SARS-CoV-2 ; Antibodies, Neutralizing ; Macaca mulatta ; COVID-19/prevention & control* ; Antibodies, Viral ; Vaccines

The morbidity and mortality of lung cancer rank first in the world. Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) can significantly prolong survival of patients with advanced non-small cell lung cancer (NSCLC). 18F-FDG PET/CT can evaluate EGFR mutation status and EGFR-TKI efficacy. This article reviews the role of 18F-FDG PET/CT in predicting EFGR mutation, the efficacy and survival prognosis evaluation of EGFR-TKI therapy, as well as the development of latest EGFR-TKI PET imaging agents.

Objective:To evaluate the efficacy and safety of mitoxantrone hydrochloride liposome injection in the treatment of peripheral T-cell lymphoma (PTCL) in a real-world setting.Methods:This was a real-world ambispective cohort study (MOMENT study) (Chinese clinical trial registry number: ChiCTR2200062067). Clinical data were collected from 198 patients who received mitoxantrone hydrochloride liposome injection as monotherapy or combination therapy at 37 hospitals from January 2022 to January 2023, including 166 patients in the retrospective cohort and 32 patients in the prospective cohort; 10 patients in the treatment-na?ve group and 188 patients in the relapsed/refractory group. Clinical characteristics, efficacy and adverse events were summarized, and the overall survival (OS) and progression-free survival (PFS) were analyzed.Results:All 198 patients were treated with mitoxantrone hydrochloride liposome injection for a median of 3 cycles (range 1-7 cycles); 28 cases were treated with mitoxantrone hydrochloride liposome injection as monotherapy, and 170 cases were treated with the combination regimen. Among 188 relapsed/refractory patients, 45 cases (23.9%) were in complete remission (CR), 82 cases (43.6%) were in partial remission (PR), and 28 cases (14.9%) were in disease stabilization (SD), and 33 cases (17.6%) were in disease progression (PD), with an objective remission rate (ORR) of 67.6% (127/188). Among 10 treatment-na?ve patients, 4 cases (40.0%) were in CR, 5 cases (50.0%) were in PR, and 1 case (10.0%) was in PD, with an ORR of 90.0% (9/10). The median follow-up time was 2.9 months (95% CI 2.4-3.7 months), and the median PFS and OS of patients in relapsed/refractory and treatment-na?ve groups were not reached. In relapsed/refractory patients, the difference in ORR between patients with different number of treatment lines of mitoxantrone hydrochloride liposome injection [ORR of the second-line, the third-line and ≥the forth-line treatment was 74.4% (67/90), 73.9% (34/46) and 50.0% (26/52)] was statistically significant ( P = 0.008). Of the 198 PTCL patients, 182 cases (91.9%) experienced at least 1 time of treatment-related adverse events, and the incidence rate of ≥grade 3 adverse events was 66.7% (132/198), which was mainly characterized by hematologic adverse events. The ≥ grade 3 hematologic adverse events mainly included decreased lymphocyte count, decreased neutrophil count, decreased white blood cell count, and anemia; non-hematologic adverse events were mostly grade 1-2, mainly including pigmentation disorders and upper respiratory tract infection. Conclusions:The use of mitoxantrone hydrochloride liposome injection-containing regimen in the treatment of PTCL has definite efficacy and is well tolerated, and it is a new therapeutic option for PTCL patients.

Objective:To study the value of ventilation/perfusion single-photon emission computed tomography(SPECT)in combination with a low-dose CT scan(SPECT/CT)in diagnosing pulmonary embolism(PE)in elderly patients.Methods:In this retrospective study, data were collected from 279 patients with suspected PE and undergone SPECT/CT between January 2015 and December 2019 at Beijing Hospital, with 163 aged ≥65(the elderly group)and 116 aged <65(the control group). Based on diagnosis confirmed during follow-up as the final diagnosis, the diagnostic efficacy of ventilation/perfusion SPECT/CT in the two age groups was examined.The diagnostic efficacy of ventilation/perfusion SPECT/CT and age-adjusted D-dimer in the elderly group was also compared.The diagnostic efficacy of ventilation/perfusion SPECT/CT and CT pulmonary angiography(CTPA)was compared in 43 elderly patients who had undergone both ventilation/perfusion SPECT/CT and CTPA.Results:The sensitivity, specificity and accuracy of ventilation/perfusion SPECT/CT in the elderly group were 96.10%(74/77), 91.86%(79/86)and 93.87%(153/163)in the elderly group and 96.43%(27/28), 94.31%(83/88)and 94.83%(110/116)in the control group, respectively, with no statistically significant difference between the two groups( χ2=0.000, 0.409, 0.116, P=1.000, 0.522, 0.733). The sensitivity, specificity and accuracy of age-adjusted D-dimer were 84.42%(65/77), 63.95%(55/86)and 73.62%(120/163), and were significantly different from those of ventilation/perfusion SPECT/CT(all P<0.05). Among 43 elderly patients undergone ventilation/perfusion SPECT/CT and CTPA, 1 was excluded because the diagnosis based on CTPA was uncertain.The diagnostic sensitivity, specificity and accuracy of ventilation/perfusion SPECT/CT were 96.55%(28/29), 92.31%(12/13)and 95.24%(40/42)and those of CTPA were 65.52%(19/29), 92.31%(12/13)and 73.81%(31/42). They had the same specificity, but there were significant differences in sensitivity and accuracy( P=0.012, 0.022). Conclusions:Ventilation/perfusion SPECT/CT has higher accuracy in the diagnosis of PE in elderly patients, compared with CTPA and age-adjusted D-dimer.

OBJECTIVE：To provide reference for constructing and improving the pharmacovigilance signal management sys - tem in China by comparing signal management system among the European Union （EU），the United States （U. S. ）and Japan. METHODS：Literature analysis method was used to systematically compare the similarities and differences on definitions ，sources， detection methods and management process of pharmacovigilance signals among EU ，U. S. and Japan. Some suggestions were put forward for pharmacovigilance management in China. RESULTS & CONCLUSIONS ：Regulatory authorities of the EU ，U. S. and Japan did not have a uniform definition on signals ；EU drug administration adopted the definition of the eighth working group of Council for International Organizations of Medical Sciences ，FDA adopted its own definition ，while the Japanese regulatory agency had no clear definition. Currently ，post-marketing surveillance still relied mainly on spontaneous reporting systems ；EU，U. S. and Japan had carried out the signal detection based on the spontaneous reporting system ；EU mainly adopted the proportional reporting ratio method ，U. S. mainly adopts the multiple gamma Poisson Shrinker ，and Japan mainly adopted the reporting ratio method. EU had special guidelines for signal management process ，while the U. S. and Japan did not. It is recommended to accelerate the deve- lopment of the legal and regulatory framework on pharmacovigilance in China ，draw up guidelines on pharmacovigilance practices ， strengthen the active ADR surveillance and promote the application of data mining techniques in signal detection field ，for accelerat - ing the standardization and internationalization of China ’s pharmacovigilance work.

Objective: To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). Materials and Methods: We retrospectively reviewed 261 patients with sICH who underwent initial NCCT within 6 hours of ictus and follow-up CT within 24 hours after initial NCCT, between April 2011 and March 2019. The clinical characteristics, imaging signs and radiomics features extracted from the initial NCCT images were used to construct models to discriminate early HE. A clinical-radiologic model was constructed using a multivariate logistic regression (LR) analysis. Radiomics models, a radiomics-radiologic model, and a combined model were constructed in the training cohort (n = 182) and independently verified in the validation cohort (n = 79). Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate the discriminative power. Results: The AUC of the clinical-radiologic model for discriminating early HE was 0.766. The AUCs of the radiomics model for discriminating early HE built using the LR algorithm in the training and validation cohorts were 0.926 and 0.850, respectively.The AUCs of the radiomics-radiologic model in the training and validation cohorts were 0.946 and 0.867, respectively. The AUCs of the combined model in the training and validation cohorts were 0.960 and 0.867, respectively. Conclusion NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.