Breast cancer is the most common malignant tumor in women and poses a serious threat to their lives and health.Quantitative relaxation parameters are the inherent physical parameters of tissues,which can reflect fine structural characteristics as well as physio-logical and pathological conditions of tissues to a certain extent.Moreover,these parameters offer a real-time,noninvasive measurement method.Currently,quantitative relaxation parameters of magnetic resonance can be determined using traditional multi-echo spin-echo(MESE)T2 mapping techniques and emerging magnetic resonance image complication(MAGiC)techniques.Analysis of tissues using quantitative relaxation parameters can provide valuable clinical diagnostic information.This study reviews the application of quantitative relaxation parameters of magnetic resonance in breast cancer,aiming to provide insights into differential diagnosis,classification,treat-ment planning,and prognosis assessment.

Objective:To investigate the value of gadoxetate disodium-enhanced MRI combined with T 1 mapping in preoperative prediction of cytokeratin 19 (CK19) and glypican-3 (GPC3) positive dual-phenotype hepatocellular carcinoma (DPHCC). Methods:This case-control study included retrospectively enrolled patients with pathologically confirmed HCC from Central People′s Hospital of Zhanjiang (training set, n=85; December 2020 to July 2022) and the Second Affiliated Hospital, School of Medicine, South China University of Technology (test set, n=35; April 2023 to April 2024). Patients were categorized into CK19 and GPC3 positive DPHCC group (training set=19, test set=11) and non-DPHCC group (training set=66, test set=24) based on postoperative immunohistochemical staining. All patients received preoperative MRI scans, including gadoxetate disodium-enhanced imaging and T 1 mapping. Clinical data were collected, qualitative MRI features were evaluated, and quantitative parameters were measured, including signal intensity, T 1 values, apparent diffusion coefficient (ADC), tumor-to-liver ADC ratio (rADC), tumor-to-liver signal intensity ratio, and T 1 relaxation time reduction rate (ΔT 1%). Statistical comparisons between groups were performed using independent t-tests, Mann-Whitney U tests, or χ2 tests. Multivariate logistic regression identified independent predictors of CK19 and GPC3 positive DPHCC, and a combined model was constructed. Predictive performance was evaluated using area under the receiver operating characteristic curve (AUC), with DeLong test comparing model performance. Results:Significant intergroup differences were observed in alpha-fetoprotein (AFP), total bilirubin, direct bilirubin, DWI target sign, rADC, hepatobiliary-phase T 1 (T 1HBP), and ΔT 1% ( P<0.05). Multivariate analysis identified AFP>20 ng/ml ( OR=5.835, 95% CI 1.019-33.397, P=0.048), DWI target sign ( OR=13.408, 95% CI 2.216-81.131, P=0.005), and ΔT1%≤31% ( OR=14.429, 95% CI 2.166-96.125, P=0.006) as independent predictors of DPHCC. The AUC values of the aforementioned three independent predictors and the combined model for predicting DPHCC were 0.641 (95% CI 0.530-0.742), 0.679 (95% CI 0.569-0.777), 0.740 (95% CI 0.634-0.829), and 0.886 (95% CI 0.799-0.945) in the training set, and 0.568 (95% CI 0.390-0.743), 0.669 (95% CI 0.490-0.818), 0.689 (95% CI 0.511-0.843), and 0.824 (95% CI 0.658-0.931) in the test set, respectively. The DeLong test results showed that in the training set, the diagnostic performance of the combined model was superior to those of the three individual features ( Z=3.68, P<0.001; Z=3.15, P=0.002; Z=3.15, P=0.002). In the test cohort, the combined model demonstrated better diagnostic performance than AFP>20 ng/ml and ΔT 1%≤31% ( Z=2.15, P=0.032; Z=2.12, P=0.034), while no statistically significant difference was observed compared with the DWI target sign ( Z=1.77, P=0.076). Conclusion:The integrated model incorporating clinical data, gadoxetate disodium-enhanced MRI, and T 1 mapping parameters effectively predicts CK19 and GPC3 positive DPHCC.

Objective:To investigate the value of gadoxetate disodium-enhanced MRI combined with T 1 mapping in preoperative prediction of cytokeratin 19 (CK19) and glypican-3 (GPC3) positive dual-phenotype hepatocellular carcinoma (DPHCC). Methods:This case-control study included retrospectively enrolled patients with pathologically confirmed HCC from Central People′s Hospital of Zhanjiang (training set, n=85; December 2020 to July 2022) and the Second Affiliated Hospital, School of Medicine, South China University of Technology (test set, n=35; April 2023 to April 2024). Patients were categorized into CK19 and GPC3 positive DPHCC group (training set=19, test set=11) and non-DPHCC group (training set=66, test set=24) based on postoperative immunohistochemical staining. All patients received preoperative MRI scans, including gadoxetate disodium-enhanced imaging and T 1 mapping. Clinical data were collected, qualitative MRI features were evaluated, and quantitative parameters were measured, including signal intensity, T 1 values, apparent diffusion coefficient (ADC), tumor-to-liver ADC ratio (rADC), tumor-to-liver signal intensity ratio, and T 1 relaxation time reduction rate (ΔT 1%). Statistical comparisons between groups were performed using independent t-tests, Mann-Whitney U tests, or χ2 tests. Multivariate logistic regression identified independent predictors of CK19 and GPC3 positive DPHCC, and a combined model was constructed. Predictive performance was evaluated using area under the receiver operating characteristic curve (AUC), with DeLong test comparing model performance. Results:Significant intergroup differences were observed in alpha-fetoprotein (AFP), total bilirubin, direct bilirubin, DWI target sign, rADC, hepatobiliary-phase T 1 (T 1HBP), and ΔT 1% ( P<0.05). Multivariate analysis identified AFP>20 ng/ml ( OR=5.835, 95% CI 1.019-33.397, P=0.048), DWI target sign ( OR=13.408, 95% CI 2.216-81.131, P=0.005), and ΔT1%≤31% ( OR=14.429, 95% CI 2.166-96.125, P=0.006) as independent predictors of DPHCC. The AUC values of the aforementioned three independent predictors and the combined model for predicting DPHCC were 0.641 (95% CI 0.530-0.742), 0.679 (95% CI 0.569-0.777), 0.740 (95% CI 0.634-0.829), and 0.886 (95% CI 0.799-0.945) in the training set, and 0.568 (95% CI 0.390-0.743), 0.669 (95% CI 0.490-0.818), 0.689 (95% CI 0.511-0.843), and 0.824 (95% CI 0.658-0.931) in the test set, respectively. The DeLong test results showed that in the training set, the diagnostic performance of the combined model was superior to those of the three individual features ( Z=3.68, P<0.001; Z=3.15, P=0.002; Z=3.15, P=0.002). In the test cohort, the combined model demonstrated better diagnostic performance than AFP>20 ng/ml and ΔT 1%≤31% ( Z=2.15, P=0.032; Z=2.12, P=0.034), while no statistically significant difference was observed compared with the DWI target sign ( Z=1.77, P=0.076). Conclusion:The integrated model incorporating clinical data, gadoxetate disodium-enhanced MRI, and T 1 mapping parameters effectively predicts CK19 and GPC3 positive DPHCC.

Breast cancer is the most common malignant tumor in women and poses a serious threat to their lives and health.Quantitative relaxation parameters are the inherent physical parameters of tissues,which can reflect fine structural characteristics as well as physio-logical and pathological conditions of tissues to a certain extent.Moreover,these parameters offer a real-time,noninvasive measurement method.Currently,quantitative relaxation parameters of magnetic resonance can be determined using traditional multi-echo spin-echo(MESE)T2 mapping techniques and emerging magnetic resonance image complication(MAGiC)techniques.Analysis of tissues using quantitative relaxation parameters can provide valuable clinical diagnostic information.This study reviews the application of quantitative relaxation parameters of magnetic resonance in breast cancer,aiming to provide insights into differential diagnosis,classification,treat-ment planning,and prognosis assessment.

Objective:To investigate the value of synthetic MRI quantitative parameters in identifying different molecular types of breast cancer and triple negative breast cancer (TNBC) and non-TNBC.Methods:A retrospective analysis was performed on 208 patients diagnosed with invasive ductal breast cancer in the First Affiliated Hospital of China Medical University from March 2019 to September 2020. All patients underwent synthetic MR examinations and the following quantitative parameters were measured, including tumor diameter, volume, apparent diffusion coefficient (ADC), and corresponding values of T 1, T 2, and proton density (PD). According to the immunohistochemical results, there were 122 cases of progesterone receptor (PR) positive and 86 cases of PR negative, 123 cases of estrogen receptor (ER) positive and 85 cases of ER negative, 79 cases of human epidermal growth factor receptor-2 (HER2) positive and 129 cases of HER2 negative, 149 cases of Ki-67 high expression and 59 cases of Ki-67 low expression; there were 36 cases of TNBC and 172 cases of non-TNBC. Independent samples t test or Mann-Whitney U test were used to compare the quantitative parameters of different molecular types, TNBC and non-TNBC patients. Multivariate logistic regression was used to analyze independent predictors of TNBC, and receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of sole and combined parameters in identifying TNBC. Results:T 1 and T 2 values in PR negative breast cancer patients were higher than those in PR positive patients ( t=2.30, Z=2.04, P<0.05); the values of T 1 and T 2 in ER negative patients were higher than those in ER positive patients ( t=2.52, Z=2.48, P<0.05); ADC value and tumor diameter of HER2 positive patients were larger than those in HER2 negative patients ( t=-3.21, Z=-3.22, P<0.05). T 2 value, tumor volume and diameter in patients with Ki-67 high expression were significantly higher than those in patients with Ki-67 low expression ( Z=-3.47, -2.51, -2.84, P<0.05); ADC value in Ki-67 high expression group was less than that in Ki-67 low expression group ( t=3.94, P<0.001). T 1, T 2 values and tumor volume in TNBC patients were higher than those in non-TNBC patients ( t=-3.26, Z=-5.58, Z=-2.02, P<0.05], and ADC value in TNBC patients was lower than that in non-TNBC patients ( t=3.07, P=0.002). Multivariate logistic regression analysis showed that T 2 (OR=1.060, 95%CI 1.028-1.093, P<0.001) and ADC value (OR=0.947, 95%CI 0.911-0.984, P=0.005) were independent predictors of TNBC. The efficacy of each parameter alone and in combination to identify TNBC showed that the T 2 value in the single parameter had the largest AUC (0.759), and there was no significant difference between T 2 value and its combined parameters in the diagnosis of TNBC. Conclusions:The quantitative parameters based on synthetic MRI, especially T 2 value, have value in differentiating different molecular types of breast cancer, TNBC and non-TNBC may be another non-contrast parameter for evaluating tumor aggressiveness beyond ADC value.

Objective To investigate the characteristic of top-down attentional control of acute stress disorder children.Methods According to SCID-IV-TR,23 acute stress disorder children were chosen as the experinent group and 23 normal children were chosen as the control group.They were asked to perform a visual search task.Results (1) The reaction time of acute stress disorder children((1 253±158)ms) was significantly longer than normal children's((1 194± 146) ms) (P＜0.05).(2) The reaction time of valid condition((1 172± 144) ms)was significantly shorter than neutral condition ((1 229± 156) ms) and invalid condition ((1 269± 157) ms) (P＜0.05),there was no difference of reaction time between neutral condition((1 229± 156)ms) and invalid condition ((1 269±157)ms) (P＞0.05).(3) The reaction time of simple display condition((1 182±127)ms) was significantlv shorter than complex display condition ((1 264± 177)ms) (P＜0.01).Conclusion The performance of acute stress disorder children on top-down attentional control is less than normal children,the reason is that inhibiting capacity of acute stress disorder children is lower than normal children.It indicates that trauma event have negative influence on children's inhibiting capacity.