Objective:To preliminarily explore the correlation between the quantitative parameters of spectral CT before proton radiotherapy and the changes in apparent diffusion coefficient (ADC) of MRI before and after radiotherapy in chordoma patients.Methods:A retrospective analysis was conducted on imaging data from 28 patients with chordoma who underwent proton radiotherapy at Shandong Cancer Hospital and Institute from August 2022 to December 2024. Spectral CT images obtained prior to treatment were used to extract four quantitative parameters of the lesion area: relative iodine concentration (RIC), electron density (ED), effective atomic number (Z eff), and the slope of spectral attenuation curve (λHU). In parallel, MRI-DWI scans before and after treatment were collected to compute the ADC difference (ΔADC). The correlation between spectral CT parameters and ΔADC was assessed using scatter plots, simple linear regression, LOWESS curve fitting, correlation matrix, and bootstrap resampling methods. Results:The ADC of 28 patients was 1 137.05 (921.07, 1 643.91) before treatment, and 1 197.10 (994.75, 1 785.57) after treatment, and the ΔADC was 133.18 (-36.46, 253.04). The RIC was 0.45 (0.12, 0.67), the ED was 38.01±12.72, the Z eff was 8.40±0.64, and the λHU was -2.20±1.05. The scatter plots results indicated a positive distribution trend between RIC and ΔADC, and a negative trend between λHu and ΔADC. Simple linear regression showed that RIC had the highest goodness of fit with ΔADC ( R2=0.75) and the largest regression coefficient ( β=518.34), followed by λHU ( R2=0.64, β=-121.94). The goodness of fit between Z eff and ΔADC was low ( R2=0.25). No correlation was found between ED and ΔADC. LOWESS curve fitting showed a consistent trend with simple linear regression results, without significant deviation. The correlation matrix indicated that RIC was positively correlated with ΔADC ( r=0.88, P<0.001), Z eff was moderately positively correlated with ΔADC ( r=0.51, P=0.006), and λHU was negatively correlated with ΔADC ( r=-0.84, P<0.001). Bootstrap resampling analysis showed that the r values of RIC, Z eff, λHU and ΔADC were 0.87, 0.50, -0.80, respectively. Conclusions:The spectral CT parameter RIC of chordoma patients before proton radiotherapy is positively correlated with ΔADC, while λHU exhibits a negative correlation with ΔADC.

Objective To investigate the influence of supplemental probiotics on the changes of immunity and microecology in asthmatic children. Methods One hundred and seventy?six asthmatic children treated in the Affiliated Hospital of North China University of Science and Technology from October 2015 to October 2016 were selected in the study and were randomly divided into two groups, 88 cases in each group. Patients in the control group were given routine treatment, and the observation group was treated with routine treatment combined with probiotics. The changes in immune index and microecological index before and after the treatment were compared between the two groups. Results After treatment, the observation showed CD3+ was(65. 8±2. 6)％,CD4+was(39. 2±1. 3)％,CD8+ was(24. 5±1. 0)％,CD4+/CD8+ was(1. 6±0. 2),NK cells was(15.2±0.4)％,Th1/ Th2 was(5.7±1.3),interferon γ was(56.3±1.8)ng/L,bifidobacterium was (9. 3±0. 7)lgCFU/g,lactobacillus was(9. 5±0. 6)lgCFU/g,yeast was(6. 6±0. 8)lgCFU/g,compared with those before treatment ((52. 5±1. 7)％,(23. 6±0. 8)％,(19. 7±0. 9)％,(1. 2±0. 1),(12. 8±0. 3)％,(3. 4±0. 7), (44.0±1.5)ng/L,(4.2±1.1)lgCFU/g,(4.9±0.4)lgCFU/g,(3.7±0.4)lgCFU/g),the differences were statistically significant ( t= 5. 533, 9. 957, 5. 436, 6. 332, 4. 875, 9. 764, 5. 727, 15. 143, 12. 387, 10. 837, P<0. 05). After treatment,in the control group,CD3+ was(60. 1±3. 4)％,CD4+ was(30. 7±1. 2)％,CD8+ was (21.9±1.1)％,CD4+/ CD8+ was(1.4±0.3),NK cells was(14.0±0.3)％,Th1/ Th2 was(4.6±0.9), interferon γ was ( 50. 2 ± 1. 4 ) ng/L, bifidobacterium was ( 7. 6 ± 0. 8 ) lgCFU/g, lactobacillus was ( 8. 1 ± 0. 7 ) lgCFU/g, yeast was ( 4. 9 ± 0. 8 ) lgCFU/g, compared with those before treatment ( ( 52. 4 ± 2. 0 )％, ( 23. 8 ±0. 7)％,(19. 8±0. 6)％,(1. 2±0. 2),(12. 7±0. 2)％,(3. 5±1. 1),(44. 1±1. 3)ng/L,(4. 3±0. 9)lgCFU/g, (5.0±0.5)lgCFU/g,(3.8±0.6)lgCFU/g),the differences were statistically significant(t=4.469,5.899, 4. 061,4. 667,4. 023,6. 143,4. 363,10. 674,9. 201,5. 894,P<0. 05) . The above indexes in observation group were higher than those in the control group ( t=3. 948, 3. 162, 4. 187, 4. 428, 3. 857, 5. 391, 4. 202, 5. 236, 4. 728,6. 469,P<0. 05). After treatment,the observation group showed IgE(139. 4±21. 0)was kU/L,IL?4(30. 2 ±1. 7)was ng/L,IL?10 was(6. 3±0. 8)ng/L,escherichia coli was(4. 8±0. 6)lgCFU/g,streptococcus was(6. 1 ±0.9)lgCFU/g,bacillus was(4.6±0.2)lgCFU/g,staphylococcus was(1.9±0.3)lgCFU/g,enterococcus was (5.2±0.4)lgCFU/g,compared with those before treatment((381.2±49.6)kU/L,(59.4±3.5)ng/L,(13.9 ±1.1)ng/L,(7.1±0.5)lgCFU/g,(8.4±0.6)lgCFU/g,(8.0±0.6)lgCFU/g,(4.0±0.8)lgCFU/g,(7.4 ±0. 8)lgCFU/g),while the differences were statictically significant (t=22. 231,12. 667,15. 063,7. 791,6. 770, 10. 392,16. 523,7. 232,P<0. 05). After treatment,in control group showed IgE was (230. 8±31. 7) kU/L,IL?4 was (41. 3±2. 3)ng/L,IL?10 was (9. 8±0. 7)ng/L,escherichia coli was (5. 9±0. 7)lgCFU/g,streptococcus was (7. 2±1. 0)lgCFU/g,bacillus was (6. 4±0. 8)lgCFU/g,staphylococcus was(2. 7±0. 7)lgCFU/g,enterococcus was (6.1±0.6)lgCFU/g,compared with those before treatment((387.9±54.3)kU/L,(59.6±3.4)ng/L, (13. 7±1. 2)ng/L,(7. 0±0. 4)lgCFU/g,(8. 3±0. 5)lgCFU/g,(8. 1±0. 7)lgCFU/g,(4. 1±1. 0)lgCFU/g,(7. 3 ± 0. 7 ) lgCFU/g ) , while there were significant differences ( t= 9. 826, 7. 390, 6. 979, 4. 864, 4. 527, 5. 656、8. 185,4. 967,P<0. 05). The above indexes in observation group were lower than those in the control group(t=9. 618,6. 713,8. 556,5. 290,4. 803,6. 913,7. 215,4. 731,P<0. 05) . The intestinal flora time was ( 5. 6 ± 1) d,hospitalization time was (10. 2 ± 1. 3) d,hospitalization expenses (3527. 1 ± 403. 2) RMB in the observation group,compared with (10. 7±1. 8)d,(14. 6±2. 1)d,(4689. 4±526. 7)RMB in the control group,the differences between the two groups were statistically significant ( t= 12. 107, 7. 314, 6. 295, P<0. 05 ) . Conclusion Probiotic supplement can improve immune status and microecology status in asthmatic children,which is worthy of clinical use.