1.Quantitative evaluation of sternocleidomastoid muscle fibrosis after radiotherapy for nasopharyngeal carcinoma based on mapping technique of MRI
Yongjun YE ; Risheng YU ; Jiajun CHEN ; Baohe ZHOU ; Fei SHANG ; Ruomeng ZHANG ; Jiansong JI
Chinese Journal of Radiology 2022;56(3):309-313
Objective:To investigate the feasibility and clinical value of MRI quantitative evaluation technique in detecting sternocleidomastoid muscle fibrosis in patients with nasopharyngeal carcinoma (NPC) after radiotherapy.Methods:From August 2019 to March 2021, 45 patients with clinically confirmed NPC after radiotherapy and 30 healthy controls who underwent physical examination in Lishui Hospital of Zhejiang University were enrolled in our study. According to the Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer (RTOG/EORTC) classification criteria of late radiation reactions respectively, the sternocleidomastoid muscle injury in the NPC group was divided into grade Ⅰ, Ⅱ and Ⅲ, which included 8, 32 and 5 patients respectively. All patients underwent T 1 mapping and T 2 mapping imaging of the neck. Firstly, the mapping images of sternocleidomastoid muscle between the two groups were analyzed and compared. Using NUMARIS/4 software of Siemens image post-processing workstation, the region of interest was manually drawn along the edge of sternocleidomastoid muscle at the level of laryngeal chamber in axial mapping diagram. Then, T 1 and T 2 values and the long and short diameters of sternocleidomastoid muscle were measured respectively. Finally, the differences of the parameters between the two groups were compared by independent sample t-test, Spearman rank correlation was used to analyze the relationship between the average T 1 and T 2 values of bilateral sternocleidomastoid muscles and the grade of late radiation injury. Results:Compared with the control group, the shape of sternocleidomastoid muscle in the NPC group was smaller in shape, with irregular edge and uneven increase of T 1 mapping color scale. There was no significant difference in muscle signal in T 2 mapping. The T 1 values of left and right sternocleidomastoid muscles in the NPC group were (1 524.7±97.6) and (1 496.5±93.2) ms respectively, which were significantly higher than those in the normal control group [(1 231.5±85.3) and (1 275.9±90.9) ms] ( P<0.05), and the T 2 values of left and right sternocleidomastoid muscles in the NPC group were (28.4±4.8) and (28.4±3.6) ms respectively, which were lower than those in the normal control group [(30.4±3.5) and (30.4±3.5) ms] ( P<0.05). The long and short diameters of bilateral sternocleidomastoid muscles in the NPC group were shorter than those in the control group ( P<0.05). The average T 1 and T 2 values of bilateral sternocleidomastoid muscles in NPC patients after radiotherapy were (1 510.6±95.4) and (28.4±4.2) ms respectively, The T 1 value was positively correlated with the classification of advanced radiation injury ( r=0.78, P<0.001), and T 2 value was negatively correlated with the level of advanced radiation injury ( r=-0.87, P<0.001). Conclusion:Mapping quantitative evaluation technique can noninvasively and objectively detect and evaluate sternocleidomastoid muscle fibrosis after NPC radiotherapy, which has potential clinical application value.
2.Construction of the Chinese Veteran Clinical Research (CVCR) platform for the assessment of non-communicable diseases.
Jiping TAN ; Nan LI ; Jing GAO ; Yuhe GUO ; Wei HU ; Jinsheng YANG ; Baocheng YU ; Jianmin YU ; Wei DU ; Wenjun ZHANG ; Lianqi CUI ; Qingsong WANG ; Xiangnan XIA ; Jianjun LI ; Peiyi ZHOU ; Baohe ZHANG ; Zhiying LIU ; Shaogang ZHANG ; Lanying SUN ; Nan LIU ; Ruixiang DENG ; Wenguang DAI ; Fang YI ; Wenjun CHEN ; Yongqing ZHANG ; Shenwu XUE ; Bo CUI ; Yiming ZHAO ; Luning WANG
Chinese Medical Journal 2014;127(3):448-456
BACKGROUNDBased on the excellent medical care and management system for Chinese veterans, as well as the detailed medical documentation available, we aim to construct a Chinese Veteran Clinical Research (CVCR) platform on non-communicable diseases (NCDs) and carry out studies of the primary disabling NCDs.
METHODSThe Geriatric Neurology Department of Chinese People's Liberation Army General Hospital and veterans' hospitals serve as the leading and participating units in the platform construction. The fundamental constituents of the platform are veteran communities. Stratified typical cluster sampling is adopted to recruit veteran communities. A cross-sectional study of mental, neurological, and substance use (MNS) disorders are performed in two stages using screening scale such as the Mini-Mental State Examination and Montreal cognitive assessment, followed by systematic neuropsychological assessments to make clinical diagnoses, evaluated disease awareness and care situation.
RESULTSA total of 9 676 among 277 veteran communities from 18 cities are recruited into this platform, yielding a response rate of 83.86%. 8 812 subjects complete the MNS subproject screening and total response rate is 91.70%. The average participant age is (82.01±4.61) years, 69.47% of veterans are 80 years or older. Most participants are male (94.01%), 83.36% of subjects have at least a junior high school degree. The overall health status of veterans is good and stable. The most common NCD are cardiovascular disorders (86.44%), urinary and genital diseases (73.14%), eye and ear problems (66.25%), endocrine (56.56%) and neuro-psychiatric disturbances (50.78%).
CONCLUSIONWe first construct a veterans' comprehensive clinical research platform for the study of NCDs that is primarily composed of highly educated Chinese males of advanced age and utilize this platform to complete a cross-sectional national investigation of MNS disorders among veterans. The good and stable health condition of the veterans could facilitate the long-term follow-up studies of NCDs and provide prospective data to the prevention and management of NCDs.
Aged ; Aged, 80 and over ; Asian Continental Ancestry Group ; Cross-Sectional Studies ; Disease ; Female ; Health Status ; Humans ; Male ; Veterans ; statistics & numerical data