1.Evaluation of fetal thymus size with thymic-thoracic ratio and clinical significance
Yin WANG ; Yanying LIU ; Yi LI ; Lisang WU ; Zhaoqiu LIANG ; Shuzhen CONG
Chinese Journal of Medical Imaging Technology 2017;33(5):735-738
Objective To explore value of detecting fetal thymus size with the thymic-thoracic ratio (TT-ratio).Methods Prenatal ultrasonography examinations were performed on totally 317 normal singleton healthy pregnancies from 18 to 39 gestational weeks.The normal thymus of fetus were observed on the three-vessel-trachea (3VT) view.The anteroposterior diameter of the thymus (T1) was measured between the anterior border of the aortic arch and posterior border of sternum.The intrathoracic mediastinal diameter (T2) was measured between the anterior border of thoracic vertebral body and posterior border of sternum.The TT-ratio was then calculated as the ratio of T1 to T2.Scatter plot between TT-ratio and gestational age was drawn.And the Spearman regression analysis was performed.Results The thymus of fetus was shown as an irregular homogenous structure in the anterior mediastinum on the 3VT view.The mean TT-ratio was 0.45± 0.03.There was no correlation between TT-ratio and gestation (rs =0.06,P=0.29).Conclusion Prenatal ultrasound can display the thymus obviously.TT-ratio could be applied to assess the fetal thymus size,which can provides clinical basis for the detection of absent or hypoplastic thymus in fetus.
2.Establishment of nomograms to predict shrinkage modes of primary breast tumor after neoadj uvant chemotherapy
Yanbing LIU ; Tao YANG ; Zhaopeng ZHANG ; Chunjian WANG ; Xiao SUN ; Xiangyu SUN ; Dianbin MU ; Zhaoqiu CHEN ; Yongsheng WANG
Journal of Jilin University(Medicine Edition) 2014;(6):1319-1324
Objective To explore the clinical variables associated with the shrinkage modes of primary breast tumor in women after neoadj uvant chemotherapy (NAC ), and to develop a nomogram for predicting non-concentric shrinkage mode(NCSM).Methods Sixty-one women with pathologically proven solitary invasive ductal carcinoma (ⅡA-ⅢC)were recruited. Breast specimen was prepared with PMSS, and residual tumors were microscopically outlined,scanned and registered by Photoshop CS 5 software.The 3D model of residual tumors was reconstructed with 3D-DOCTOR 4.0 software to evaluate the shrinkage mode.17 factors such as age and body mass index and menopausal status were chosen as independent variables,and the clinic-pathologic shrinkage mode was considered as dependent variable. A Logistic regression model was used to construct the nomogram. Results Primary tumor stage,lymph node down-staging, PR and mammographic malignant calcification before NAC were independent predictors of clinic-pathologic shrinkage mode (β:1.538,OR:4.656,95%CI:1.414-15.328,P=0.011;β:1.555,OR:4.735, 95%CI:1.082-20.722,P=0.039;β:-1.707, OR:0.181, 95%CI:0.044-0.741,P = 0.017;β:- 1.405, OR:3.808, 95% CI:0.06 - 0.998,P = 0.048, respectively ). The nomogram predicting the risk of NCSM showed a good concordance index(0.869),and its conformity of mean absolute error was 0.039. Conclusion Based on the clinicopathological findings of primary breast tumor, a nomogram to predict shrinkage modes after NAC in breast carcinoma patients is constructed.The statistical tool is helpful for individually selecting the patients who can be treated with BCT after NAC.
3.Correlations between MRI apparent diffusion coefficient and histological grade and molecular biology of breast invasive ductal carcinoma.
Xuejuan YU ; Shangang LIU ; Zhaoqiu CHEN ; Pinliang ZHANG ; Jianbo ZHANG ; Liang XU ; Zengjun LIU ; Ruimei REN
Chinese Journal of Oncology 2014;36(8):606-611
OBJECTIVETo study the correlation between the MRI apparent diffusion coefficient (ADC) value and histological grade and molecular biology of breast invasive ductal carcinoma (IDC).
METHODSThis retrospective study included 125 patients with IDC verified by pathology from February 2010 to February 2013. Conventional MRI and diffusion-weighted imaging (DWI) examination were performed using a 3.0T scanner with diffusion factor of 0 and 800 s/mm(2). The region of interest (ROI) was drawn on the largest lesion and/or its two adjacent slices. The ADC value of the whole tumor was calculated as the mean ADC value. The correlation between mean ADCs and histological grade and biological factors was analyzed.
RESULTSThe mean ADC of pathological grade I, II and III IDC was (1.152 ± 0.072)×10(-3) mm(2)/s, (1.102 ± 0.101)×10(-3) mm(2)/s, and (1.035 ± 0.107)×10(-3) mm(2)/s, respectively. There was a statistically significant difference among them (P = 0.003). Statistically a significant difference was observed between grade III and I (P = 0.034), grade III and II (P = 0.006), but not between grade I and II (P = 0.741). A significant correlation was observed between ADC value and pathological grade (r = -0.342, P < 0.001). The median ADC values were significantly higher in the ER-negative than in the ER-positive cases [(1.130 ± 0.115)×10(-3) mm(2)/s vs. (1.060 ± 0.089) ×10(-3) mm(2)/s, P < 0.001)], in PR-negative than in PR-positive cases [(1.121 ± 0.106)×10(-3) mm(2)/s vs. (1.055 ± 0.096) ×10(-3) mm(2)/s, P < 0.001)], and in Ki-67-negative than in Ki-67-positive cases [(1.153 ± 0.090)×10(-3) mm(2)/s vs. (1.063 ± 0.101) ×10(-3) mm(2)/s, P < 0.001]. A statistically significant correlation was observed between ADC value and expressions of ER, PR, and Ki-67 (r = -0.311, r = -0.317, r = -0.414, P < 0.001).
CONCLUSIONADC value of breast invasive ductal carcinoma is correlated with histological grade, and expression of ER, PR and Ki-67.
Breast Neoplasms ; diagnosis ; Carcinoma, Ductal ; diagnosis ; Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging ; Retrospective Studies
4.Accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy in breast cancer with three-dimensional reconstruction technique.
Tao YANG ; Zhaopeng ZHANG ; Guang LIU ; Dianbin MU ; Xiangyu SUN ; Zhaoqiu CHEN ; Yanbing LIU ; Chunjian WANG ; Xiao SUN ; Yongsheng WANG ; Email: WANGYSH2008@ALIYUN.COM.
Chinese Journal of Surgery 2015;53(4):280-284
OBJECTIVETo evaluate the accuracy of MRI for estimating residual tumor size after neoadjuvant chemotherapy (NAC) with three-dimensional (3D) reconstruction technique.
METHODSThis was a prospective study. The data of 61 patients with pathologically proven solitary invasive ductal carcinoma (IIA-IIIC) who had received 6 to 8 cycles of NAC from July 2010 to August 2013 was analyzed. All the patients were female, aging from 31 to 70 years with a median of 49 years. Breast specimen after surgery was prepared with part-mount sub-serial section, and residual tumors were microscopically outlined, scanned and registered by Photoshop software. The 3D model of pathological and MRI residual tumors was reconstructed with 3D-DOCTOR software. The longest diameter, maximum cross-section area and volume of the residual tumors determined using 3D MRI were compared with 3D pathological findings, and the associations between MRI and pathology were analyzed by Spearman rank correlation and Bland-Altman analysis.
RESULTSThe longest diameter, maximum cross-section area and volume of the residual tumors after NAC measured by MRI and pathology was highly correlated (r=0.942, 0.941, 0.903, all P=0.00). MRI appears to underestimate pathology in the longest diameter, maximum cross-section area, but slightly overestimate in volume, and two methods had a good consistence (MD=0.3 cm, 95% CI: -1.43 to 1.9 cm; MD=1.39 cm², 95% CI: -9.55 to 12.34 cm²; MD=-0.433 cm³, 95% CI: -7.065 to 6.199 cm³).
CONCLUSION3D MRI reconstruction after NAC could accurately detects the residual tumors after neoadjuvant chemotherapy, and contribute to select patients who received breast conserving therapy after NAC with tumor downstaging.
Adult ; Aged ; Antineoplastic Combined Chemotherapy Protocols ; Breast Neoplasms ; diagnosis ; drug therapy ; Female ; Humans ; Imaging, Three-Dimensional ; Magnetic Resonance Imaging ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm, Residual ; diagnosis ; Prospective Studies ; Tomography, X-Ray Computed
5.Technical guidelines for the application of seasonal influenza vaccine in China (2014-2015).
Luzhao FENG ; Peng YANG ; Tao ZHANG ; Juan YANG ; Chuanxi FU ; Ying QIN ; Yi ZHANG ; Chunna MA ; Zhaoqiu LIU ; Quanyi WANG ; Genming ZHAO ; Hongjie YU ; null ; null
Chinese Journal of Epidemiology 2014;35(12):1295-1319