As an interstitial brachytherapy,radioactive seed implantation could provide high doses in the local site and minimal doses at surrounding normal tissues.It has become one of the best choice for early stage prostate carcinoma.Radioactive seeds were implanted under the guidance by ultrasound,CT and MRI,featured with surgical and interventional treatment.Based on dosimetry for target and organs at risk,radioactive seed implantation is multiple disciplinary.In order to acquire the accurate and high quality seed implantation,it is necessary to set up a team including surgeons,radiation oncologists,interventional doctors and nuclear medicine doctors.The content of the consensus is as follows:radiation physics and dosimetry,indications,side-effects and 3 D-printing template work-follow.Despite the benefit of radioactive seed implantation for solid carcinoma,there still a compelling need for prospective randomized and stage Ⅲ clinical trials from multiple centers,so as to upgrade the evidencebased level,above all confirm the role of radioactive seed implantation in the comprehensive treatment of tumors.

Objective To evaluate the characteristics and clinical suitability of the ArcCHECK diode array for volumetric-modulated arc therapy (VMAT) verification.Methods The intrinsic sensitivity,short and long term reproducibility,dose and dose rate dependence,dose per pulsed dependence,field sizes dependence and directional response of the diodes were measured.The results of the diodes were compared with the measurement results of an ionization chamber and calculated results of treatment planning system.Gamma index was used to analyze the dose difference between the calculation and measurement for random selected 211 verified VMAT plans.Results The ArcCHECK performed well for all tests except directional dependence,which varies from a minimum of-3.9％ (seen only when the beam was incident on the diode at 180°) to a maximum of 7.7％ (approximately at 255°).Average gamma analysis passing rates with 3 mm/3％ for 113 nasopharyngeal cancer,48 cervical cancer and 50 rectal cancer patients VMAT plans were 93.5％,95.7％ and 97.5％,respectively,statistical significance has been found between either two of the groups (t=-12.69-4.88,all P＜ 0.01).Conclusions With proposed calibration method,the ArcCHECK diode array is very suitable for VMAT pretreatment verification,the complexity of VMAT plan is the main factor affecting the passing rate.

To investigate the impact of respiratory movement to determine the target volume on cone beam CT (CBCT) for lung tumor, we used CIRS dynamic thorax phantom (Model-CIRS008) to simulate the sinusoidal motion of lung tumor. With a constant amplitude, the ratio of the time of near-end-expiratory and near-end-inspiratory (E/I) changed when it was scanned with CBCT. We analyzed the contrast changes of target by extracting the CT value of each pixel on the center line of the target movement direction. The targets were contoured with region growing method and compared with the motion volume generated by the tumor trajectory method. The result showed that the contrast of near-end-expiratory increased and the contrast of near-end-inspiratory decreased with increasing E/I. The contoured volume generated by region growing method decreased with increasing E/I. When E/I = 4, the amplitude A = 1 cm, diameter of 1 cm and 3 cm target volumes were reduced by 48.2% and 22.7%. The study showed that CBCT was not suitable to be used to accurately determine the range of lung tumor movement. The internal target volume (ITV) may be underestimated in CBCT images.
Cone-Beam Computed Tomography ; Humans ; Lung Neoplasms ; diagnostic imaging ; Movement ; Phantoms, Imaging ; Respiration

Objective:To investigate internalized and externalized behavioral problems in children with leukemia and to analyze the influencing factors.Methods:A total of 121 children match the inclusion and exclusion criteria with leukemia hospitalized in Hematology and Oncology Department of 3 hospitals in Zhengzhou city from November 2021 to March 2022 were recruited through a cluster sampling method.The general information questionnaire, Strengths and Difficulties Questionnaire (parent version), Psychological Adaptation Scale, Perceived Social Support Questionnaire and Zarit Burden Interview were used for investigation.Multiple linear regression was used to analyze the influencing factors of internalized and externalized behavioral problems in children with leukemia.Results:Among 121 children with leukemia, there were 72 males and 49 females, with the age of (7.16 ± 3.18) years.The total score of interna-lized and externalized behavioral problems in 121 children with leukemia was (6.12±3.13) points and (5.49±2.92) points, respectively.Multiple linear regression analysis showed that burden of care ( β=0.412, P<0.001), family support ( β=-0.242, P=0.003) and monthly household income per capita ( β=-0.167, P=0.036) were the influencing factors of internalized behavioral problems in children with leukemia.Burden of care ( β=0.360, P<0.001), social integration ( β=-0.223, P=0.008) and caregiver age ( β=-0.176, P=0.035) were the influencing factors of externalized behavioral problems in children with leukemia. Conclusions:Children with leukemia suffer severe internalized and externalized behavioral problems.Burden of care of the caregiver, family support and social integration are predictors of adverse emotional and behavioral problems in children.

Objective:To explore the speech features of female patients with anhedonic depression and their recognition of pleasure deficient symptoms.Methods:A total of 102 female depression patients who were hospitalized at Nanjing Brain Hospital from September 2020 to October 2021 were selected, including 62 anhedonic depression patients (anhedonic group) and 40 non-anhedonic depression patients (non-anhedonic group). A total of 50 female healthy controls were recruited during the same period.All participants were evaluated by the 17-item Hamilton depression scale (HAMD-17), Snaith-Hamilton pleasure scale (SHAPS), and the temporal experience of pleasure scale (TEPS), as well as voice acquisition.SPSS 23.0 software was used for data processing.Statistical analysis was conducted using one-way ANOVA, non-parametric tests, Logistic regression, and receiver operating characteristic curve.Results:Compared with the non-anhedonic group, the anhedonic group showed significant changes in 15 voice features(all P<0.05), including Mel-frequency cepstral coefficients, formant frequencies, intensity, and energy features.Among these features, Mel-frequency cepstral coefficients exhibited the highest accuracy in identifying anhedonic depression, with sensitivity of 47.5%, specificity of 91.9%, area under curve (AUC) of 0.751, 95% CI=0.686-0.866.Formant frequencies could identify female anhedonic depression, with a sensitivity of 90.0%, a specificity of 40.3%, an AUC of 0.647, and 95% CI=0.605-0.824.Energy features could identify anhedonic deficient depression, with a sensitivity of 60.0%, a specificity of 74.2%, an AUC of 0.679, and 95% CI=0.587-0.804.Intensity features could identify female anhedonic depression, with a sensitivity of 70.0%, a specificity of 58.1%, an AUC of 0.640, and 95% CI=0.554-0.769. Conclusion:Mel-frequency cepstral coefficients, formant frequencies, intensity features, and energy features may have specific changes in female patients with anhedonic depression.The Mel-frequency cepstral coefficients has the highest recognition accuracy for anhedonic symptoms in female depression patients, and is expected to become an objective evaluation index for female anhedonic depression.

Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.

【Objective】 To analyze the predictive value of serum β-defensin-3 (HBD-3) and decoy receptor 3 (DCR3) for urinary tract infection after percutaneous nephrolithotomy (PCNL) in patients with complex kidney calculi. 【Methods】 A prospective study was conducted on 112 patients treated with PCNL at our hospital during Jan.2020 and Dec.2022.The patients were divided into the non-infection group (52 cases) and infection group (60 cases).The general data, HBD-3 and DCR3 levels of the two groups were compared.Receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of C reactive protein (CRP), procalcitonin (PCT), HBD-3 and DCR3 levels for postoperative urinary tract infection. 【Results】 Compared with the non-infection group, the infection group had higher levels of HBD-3 [(0.77±0.08) ng/mL vs. (1.36±0.25) ng/mL, P=0.001] and DCR3 [(4.68±0.53) ng/mL vs.(13.21±0.28) ng/mL, P=0.001].Multivariate logistic regression showed that a history of urinary tract surgery, preoperative urinary tract infection, operation time, catheterization time, stone load, type of antibiotics, concomitant renal dysfunction, intraoperative channel type, CRP, PCT, HBD-3 and DCR3 were risk factors of postoperative urinary tract infection (P<0.05).The ROC curve showed that the accuracy of CRP, PCT, and CRP plus PCT were 70.54%, 72.32%, and 78.57%, respectively; the accuracy of HBD-3, DCR3, and HBD-3 plus DCR3 were 69.64%, 75.89%, and 86.61%, respectively. 【Conclusion】 Postoperative urinary tract infection in patients with complex kidney calculi is associated with multiple factors, especially high expression levels of HBD-3 and DCR3.Combined detection has high predictive value.

As a representative chemotherapeutic drug, docetaxel (DTX) has been used for breast cancer treatment for decades. However, the poor solubility of DTX limits its efficacy, and the DTX based therapy increases the metastasis risk due to the upregulation of C-X-C chemokine receptor type 4 (CXCR4) expression during the treatment. Herein, we conjugated CXCR4 antagonist peptide (CTCE) with DTX (termed CTCE-DTX) as an anti-metastasis agent to treat breast cancer. CTCE-DTX could self-assemble to nanoparticles, targeting CXCR4-upregulated metastatic tumor cells and enhancing the DTX efficacy. Thus, the CTCE-DTX NPs achieved promising efficacy on inhibiting both bone-specific metastasis and lung metastasis of triple-negative breast cancer. Our work provided a rational strategy on designing peptide-drug conjugates with synergistic anti-tumor efficacy.