Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.

In recent years,the incidence of childhood cancer has shown a steady upward trend.Due to the unique nature of this disease,the issue of affiliate stigma among primary caregivers of children with cancer has gradually drawn attention.Affiliate stigma not only directly affects caregivers' mental health and quality of life,but also leads to reduced social support and lower self-efficacy,thereby impacting their engagement in the caregiving process and affecting the treatment adherence and prognosis of children with cancer indirectly.This article provides a review covering 5 main areas:the conceptual definition of affiliate stigma,measurement tools,influencing factors,intervention strategies,and insights and recommendations,to provide a theoretical basis and guidance for subsequent research and the development of interventions.

Objective To assess the global and Chinese disease burden of early-onset lung cancer(di-agnosed in patients aged 15-49 years)and its major risk factors.Methods Based on the GLOBOCAN 2022 and Global Burden of Disease(GBD)2021 datasets,we evaluated the disease burden and associated risk fac-tors of early-onset lung cancer globally and in China,stratified by age,sex,geographic location,and human development index(HDI).Key indicators included age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and disability adjusted life years(DALYs)attributable to risk factors.Results In 2022,there were 137 705 new cases and 72 646 deaths from early-onset lung cancer globally,with ASIR and ASMR of 3.43 per 100 000 and 1.82 per 100 000 population,respectively.The disease burden was higher in males than in females(ASIR:3.72 per 100 000 vs.3.14 per 100 000;ASMR:2.31 per 100 000 vs.1.33 per 100 000).High-HDI regions exhibited the highest ASIR(5.51 per 100 000)and ASMR(2.57 per 100 000),with health inequality analysis revealing a concentration of disease burden in higher-HDI areas.China bore the heaviest burden,accounting for 48.69%of global new cases and 35.77%of deaths.China's ASIR(8.21 per 100 000)and ASMR(3.17 per 100 000)exceeded global averages,with incidence higher in fe-males(8.78 per 100 000 vs.7.67 per 100 000)but mortality higher in males(4.01 per 100 000 vs.2.29 per 100 000).Smoking and ambient particulate matter pollution were the leading risk factors globally(DALYs contribution:42.01%and15.62%)and in China(DALYs contribution:46.78%and 20.84%).Globally,household air pollution ranked third,whereas in China,secondhand smoke replaced it as the third leading risk factor,with household air pollution dropping to fifth.Risk factor profiles varied significantly across age groups,with modifiable risks contributing less to disease burden in the 15-24 age group.Conclusions The burden of early-onset lung cancer varies markedly by sex,region,and HDI,with China facing a disproportionately high burden.Policymakers should prioritize equitable resource allocation and targeted interventions,particularly in tobacco control and air pollution mitigation,to enhance cancer prevention and control efforts.

Objective To investigate the current status of family resilience of children with cancer and analyze its influencing factors,to provide a basis for medical staff to formulate intervention plans.Methods Using a convenient sampling method,children with cancer who were hospitalized in 2 tertiary hospitals in Henan Province from January to April 2024 were selected for the survey.A general information questionnaire,family resilience assessment scale,quality of life family version,ZBI caregiver burden interview,and social support rating scale were used to understand the current status of family resilience of children with cancer and to explore the related influencing factors by univariate analysis and multiple stepwise linear regression analysis.Results A total of 280 questionnaires were distributed and 265 valid questionnaires were recovered,with a valid questionnaire recovery rate of 94.64％.The total score of family resilience for primary caregivers of children with cancer was(185.63±30.66).The multiple stepwise linear regression analysis results showed that the children's self-care ability,caregiver's work status,family care burden,and social support level were the influencing factors for family resilience of children with cancer(P＜0.05),and the explanatory variance was 51.3％.Conclusion The family resilience of children with cancer is at a medium level.The worse the children's self-care ability and the heavier the family care burden,the worse the family resilience;the caregiver's work status and good social support are helpful for the family resilience of children with cancer.Healthcare workers should develop intervention programs to address these factors to enhance the family resilience of children with cancer.

Objective To assess the global and Chinese disease burden of early-onset lung cancer(di-agnosed in patients aged 15-49 years)and its major risk factors.Methods Based on the GLOBOCAN 2022 and Global Burden of Disease(GBD)2021 datasets,we evaluated the disease burden and associated risk fac-tors of early-onset lung cancer globally and in China,stratified by age,sex,geographic location,and human development index(HDI).Key indicators included age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and disability adjusted life years(DALYs)attributable to risk factors.Results In 2022,there were 137 705 new cases and 72 646 deaths from early-onset lung cancer globally,with ASIR and ASMR of 3.43 per 100 000 and 1.82 per 100 000 population,respectively.The disease burden was higher in males than in females(ASIR:3.72 per 100 000 vs.3.14 per 100 000;ASMR:2.31 per 100 000 vs.1.33 per 100 000).High-HDI regions exhibited the highest ASIR(5.51 per 100 000)and ASMR(2.57 per 100 000),with health inequality analysis revealing a concentration of disease burden in higher-HDI areas.China bore the heaviest burden,accounting for 48.69%of global new cases and 35.77%of deaths.China's ASIR(8.21 per 100 000)and ASMR(3.17 per 100 000)exceeded global averages,with incidence higher in fe-males(8.78 per 100 000 vs.7.67 per 100 000)but mortality higher in males(4.01 per 100 000 vs.2.29 per 100 000).Smoking and ambient particulate matter pollution were the leading risk factors globally(DALYs contribution:42.01%and15.62%)and in China(DALYs contribution:46.78%and 20.84%).Globally,household air pollution ranked third,whereas in China,secondhand smoke replaced it as the third leading risk factor,with household air pollution dropping to fifth.Risk factor profiles varied significantly across age groups,with modifiable risks contributing less to disease burden in the 15-24 age group.Conclusions The burden of early-onset lung cancer varies markedly by sex,region,and HDI,with China facing a disproportionately high burden.Policymakers should prioritize equitable resource allocation and targeted interventions,particularly in tobacco control and air pollution mitigation,to enhance cancer prevention and control efforts.

Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.

In recent years,the incidence of childhood cancer has shown a steady upward trend.Due to the unique nature of this disease,the issue of affiliate stigma among primary caregivers of children with cancer has gradually drawn attention.Affiliate stigma not only directly affects caregivers' mental health and quality of life,but also leads to reduced social support and lower self-efficacy,thereby impacting their engagement in the caregiving process and affecting the treatment adherence and prognosis of children with cancer indirectly.This article provides a review covering 5 main areas:the conceptual definition of affiliate stigma,measurement tools,influencing factors,intervention strategies,and insights and recommendations,to provide a theoretical basis and guidance for subsequent research and the development of interventions.

Objective To investigate the current status of family resilience of children with cancer and analyze its influencing factors,to provide a basis for medical staff to formulate intervention plans.Methods Using a convenient sampling method,children with cancer who were hospitalized in 2 tertiary hospitals in Henan Province from January to April 2024 were selected for the survey.A general information questionnaire,family resilience assessment scale,quality of life family version,ZBI caregiver burden interview,and social support rating scale were used to understand the current status of family resilience of children with cancer and to explore the related influencing factors by univariate analysis and multiple stepwise linear regression analysis.Results A total of 280 questionnaires were distributed and 265 valid questionnaires were recovered,with a valid questionnaire recovery rate of 94.64％.The total score of family resilience for primary caregivers of children with cancer was(185.63±30.66).The multiple stepwise linear regression analysis results showed that the children's self-care ability,caregiver's work status,family care burden,and social support level were the influencing factors for family resilience of children with cancer(P＜0.05),and the explanatory variance was 51.3％.Conclusion The family resilience of children with cancer is at a medium level.The worse the children's self-care ability and the heavier the family care burden,the worse the family resilience;the caregiver's work status and good social support are helpful for the family resilience of children with cancer.Healthcare workers should develop intervention programs to address these factors to enhance the family resilience of children with cancer.

Objective To observe the value of whole-tumor apparent diffusion coefficient(ADC)histogram for identifying histopathological grade of alveolar soft part sarcoma(ASPS).Methods Forty-three ASPS patients,including 27 cases of high-grade ASPS(high-grade group)and 16 cases of low-grade ASPS(low-grade group)were retrospectively enrolled.Patients'survival data were collected,MRI manifestations of ASPS were recorded,and the whole-tumor ADC histogram parameters were obtained and compared between groups.The correlations of whole-tumor ADC histogram parameters being different between groups with tumors'histological grading were analyzed,and the efficacy of whole-tumor ADC histogram parameters for identifying high-grade and low-grade ASPS were assessed.Results The 5-year survival rate of ASPS patients in low-grade group was 82.05％,higher than that(51.28％)in high-grade group(P＜0.05).The percentage of distant metastasis,tumor≥5 cm,as well as of tumors with features such as peritumoral edema and intra-tumoral septum in high-grade group were all higher than in low-grade group(all P＜0.05).The 5th,10th,25th,50th,75th,90th and the mean values of ADC in high-grade group were all lower than those in low-grade group(all P＜0.05)and negatively correlated with pathohistological grade of ASPS(from-0.547 to-0.385,all P＜0.05).The aeras under the receiver operating characteristic curves of the above parameters ranged from 0.734 to 0.822,which were fairly good for identifying high-grade and low-grade ASPS.Conclusion Whole-tumor ADC histogram parameters could be used to effectively identify high-grade and low-grade ASPS.

Objective:To explore the value of contrast enhancement T1 fluid-attenuated inversion recovery sequence (CE-T1FLAIR) based on modulated flip angle technique in refocused imaging with extended echo train (MATRIX) in detecting metastases.Methods:One hundred and seventy-six patients with pathologically diagnosed malignant tumors and brain metastases accepted enhanced 3.0T MRI scan in Department of Medical Imaging, He'nan Provincial Cancer Hospital from October 2023 to February 2024 were enrolled. Lianying's intelligent brain metastasis AI-assisted detection system and sequences of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR were used to detect the brain metastasis lesions, respectively. Length of the lesions was measured according to Lianying's intelligent brain metastasis AI-assisted detection system, and all lesions were divided into 3 categories: <3 mm, 3-10 mm, and >10 mm. Differences in detection rate in brain metastases of different lengths and locations among the 3 sequences were compared.Results:Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR, and FSE CE-T1FLAIR in brain metastases were 99.67%, 90.52%, and 71.02%, which were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR in brain metastases with length<3 mm (99.24%, 79.95% and 46.45%) or length of 3-10 mm (100%, 98.19% and 87.53%) were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR (100%, 80.56% and 64.24%), 3D GRE_fsp CE-T1FLAIR (100%, 97.25% and 76.11%), and FSE CE-T1FLAIR (100%, 91.18% and 70.59%) in metastases at the superficial area of the brain convexity, gray-white matter junction area, and cerebellum were decreased successively, with significant differences ( P<0.05). Detection rates of FSE CE-T1FLAIR in brain metastases in the basal ganglia and brainstem (69.33% and 50%) were significantly lower than those of MATRIX CE-T1FLAIR and 3D GRE_fsp CE-T1FLAIR (97.33% and 92.86%; 88% and 78.57%, P<0.05). Conclusion:MATRIX CE-T1FLAIR sequence is better than 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR sequences in detecting brain metastases, especially for metastases with length<10 mm and metastases located at the superficial area of the brain convexity, gray-white matter junction area and cerebellum.