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Guo H, Chen S, Zheng T, Ding P, Yang J, Wu H, Wu J, Yang L, Tian Y, Yang P, Tang X, Zhao Q. Association of low skeletal muscle mass and radiodensity with clinical outcomes in patients undergoing robotic radical gastric cancer surgery: a population-based retrospective cohort study. BMC Cancer 2025; 25:741. [PMID: 40259267 PMCID: PMC12013094 DOI: 10.1186/s12885-025-14156-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Accepted: 04/14/2025] [Indexed: 04/23/2025] Open
Abstract
BACKGROUND Sarcopenia (defined as low skeletal muscle index - SMI) and myosteatosis (defined as low skeletal muscle radiodensity - SMD) associate with poor outcomes in gastric cancer, but their impact after robotic surgery is unknown. METHODS This retrospective cohort study analyzed 381 gastric cancer patients undergoing robotic surgery from December 2019 to October 2022. Sarcopenia and myosteatosis were assessed on preoperative CT scans. Outcomes were postoperative complications, mortality, survival, and recurrence. Multivariable regression and propensity score matching examined associations. RESULTS The mean age at diagnosis was 58.5 ± 10.8 years, and 69.3% (262/381) were male. Low SMI or Low SMD independently associated with more complications (odds ratio[OR] = 3.36, 95%CI: 2.08-5.43; OR = 2.49,95%CI: 1.48-4.19, respectively), unplanned ICU admission (OR = 1.51, 95%CI: 1.22-8.44; OR = 2.00; 95%CI: 1.23-8.89, respectively) or 30-day mortality (OR = 5.89, 95%CI: 1.80-14.23; OR = 7.34; 95%CI: 2.43-18.67, respectively). Concurrent sarcopenia and myosteatosis heightened risks of complications (OR = 7.29, 95%CI: 1.62-42.30), severe complications (OR = 6.67, 95%CI: 2.22-12.68), 30-day mortality (OR = 9.55, 95%CI: 2.67-33.89), and reduced survival (hazard ratio[HR] = 3.09, 95%CI: 1.77-8.60). CONCLUSIONS Sarcopenia and myosteatosis independently and additively associate with increased postoperative complications, mortality, and worse prognosis after robotic gastric cancer surgery. Identifying sarcopenia and myosteatosis preoperatively could inform risk assessments and guide management to improve surgical outcomes.
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Affiliation(s)
- Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Sheng Chen
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Tao Zheng
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Ping'an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Jiaxuan Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Haotian Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Jiaxiang Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Li Yang
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
- The Department of CT/MRI, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Xianyu Tang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.
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Carrilho LAO, Juliani FL, Moreira RCDL, Dias Guerra L, Santos FS, Padilha DMDH, Branbilla SR, Horita VN, Novaes DML, Antunes-Correa LM, Lima CSP, Mendes MCS, Carvalheira JBC. Adipose tissue characteristics as a new prognosis marker of patients with locally advanced head and neck cancer. Front Nutr 2025; 12:1472634. [PMID: 40161297 PMCID: PMC11949816 DOI: 10.3389/fnut.2025.1472634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 02/24/2025] [Indexed: 04/02/2025] Open
Abstract
Background Patients with head and neck cancer (HNC) are at increased risk of malnutrition due to the presence of tumor and treatments. Body composition is a prognostic factor in these patients. However, the relationship between adipose tissue characteristics and survival in HNC is still unclear. Objective To evaluate the associations of adiposity, the radiodensity of adipose tissue and muscularity with the prognosis of patients with locally advanced HNC undergoing to chemoradiotherapy. Methods This retrospective study included 132 patients diagnosed with locally advanced HNC. Body composition assessment was performed using computed tomography (CT) images at the level of the third cervical vertebra (C3). The total adipose tissue radiodensity (TATR), the total adipose tissue index (TATI) and skeletal muscle index (SMI) were evaluated. The primary outcome was overall survival (OS). Results Patients in the highest TATI tertile had a lower risk of mortality when compared to those in the lowest tertile, HR: 0.56, 95% confidence Interval (CI): 0.32-0.96; p = 0.039. The highest TATR tertile was not associated with death. Patients with greater adiposity had a higher median survival compared to patients with medium and lower TATI (p = 0.0193). Individuals with lower TATI had lower energy intake than patients with higher TATI (p = 0.03). Additionally, patients with low muscularity had worse OS in the multivariable analysis (HR: 1.77, 95% CI: 1.01-3.07; p = 0.044). Conclusion In patients with locally advanced HNC, our findings underscore the significance of elevated adiposity, beyond maintained muscularity, as independent protective factors for overall survival. Our study highlights the critical importance of assessing body composition and initiating early nutritional interventions to improve the prognosis of these patients.
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Affiliation(s)
- Larissa Ariel Oliveira Carrilho
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Fabiana Lascala Juliani
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Rafaella Caroline de Lellis Moreira
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Livia Dias Guerra
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Fernanda Silva Santos
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Daniela Morais de Holanda Padilha
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
- Nestlé Health Science, Vevey, Switzerland
| | - Sandra Regina Branbilla
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Vivian Naomi Horita
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Davi Magalhães Leite Novaes
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | | | - Carmem Silvia Passos Lima
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - Maria Carolina Santos Mendes
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
| | - José Barreto Campello Carvalheira
- Department of Radiology and Oncology, Division of Oncology, School of Medical Sciences, State University of Campinas (UNICAMP), São Paulo, Brazil
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Liveraro GS, Takahashi ME, Lascala F, Lopes LR, Andreollo NA, Mendes MC, Takahashi J, Carvalheira JB. Improving resectable gastric cancer prognosis prediction: A machine learning analysis combining clinical features and body composition radiomics. INFORMATICS IN MEDICINE UNLOCKED 2025; 52:101608. [DOI: 10.1016/j.imu.2024.101608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2025] Open
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Xi F, Zheng N, Xiong B, Wang D, Teng R, Zhang X, Zhang T, Wei C, Wang X, Tan S. Skeletal muscle density as a new predictor of abdominal infection in abdominal trauma patients. Clin Nutr 2024; 43:209-217. [PMID: 39489020 DOI: 10.1016/j.clnu.2024.10.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 10/15/2024] [Accepted: 10/22/2024] [Indexed: 11/05/2024]
Abstract
BACKGROUND AND AIMS Skeletal muscle density (SMD) is a valuable prognostic indicator in various conditions such as cancer, liver cirrhosis. Yet, the connection between SMD and intra-abdominal infection in individuals who have suffered abdominal injuries is still unclear. The purpose of this research is to examine how well SMD can predict intra-abdominal infection in patients who have suffered abdominal trauma. METHODS Participants with abdominal injuries were included in this research from January 2015 to April 2023. Based on the sex-specific cut off values of SMD, the entire population was split into two categories. Prognostic factors were identified through logistic regression analysis. ROC was used to assess the predictive accuracy of SMD and its combinations with other biomarkers for clinical outcomes. RESULTS A total of 220 patients were ultimately included in the study. Patients in the group with low SMD exhibited a higher incidence of intra-abdominal infection, longer hospital stays, and increased hospital costs. In patients with abdominal trauma, low SMD was identified as a significant independent predictor of intra-abdominal infection (OR 2.397; 95 % CI 1.117-5.141, p = 0.025). Low SMD had a higher area under the curve (AUC) in ROC analysis compared to TRF, NRS2002 score, and APACHEII score for predicting intra-abdominal infection (AUC 0.70, 95 % CI 0.61-0.78, p = 0.002). Moreover, low SMD showed associations with clinical outcomes such as hospital stay length and costs (p < 0.01). CONCLUSIONS Low SMD is recognized as an independent risk factor for predicting intra-abdominal infections in this patient population. Notably, SMD is emerging as a novel predictor of abdominal infections in patients with abdominal trauma.
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Affiliation(s)
- Fengchan Xi
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China; Research Institute of General Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Nan Zheng
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Bing Xiong
- Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Di Wang
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Ran Teng
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Xinxing Zhang
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Tongtong Zhang
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Caiyun Wei
- Department of Intensive Care Unit, Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, Jiangsu, China
| | - Xiling Wang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China.
| | - Shanjun Tan
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
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Du Z, Xiao Y, Deng G, Song H, Xue Y, Song H. CD3+/CD4+ cells combined with myosteatosis predict the prognosis in patients who underwent gastric cancer surgery. J Cachexia Sarcopenia Muscle 2024; 15:1587-1600. [PMID: 38894548 PMCID: PMC11294046 DOI: 10.1002/jcsm.13517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND This study aimed to investigate the predictive capacity of lymphocyte subpopulations, sarcopenia and myosteatosis for clinical outcomes in patients who underwent gastric cancer surgery. Additionally, the prognostic significance of CD3+/CD4+ cells in conjunction with myosteatosis was explored. METHODS A cohort of 190 patients with gastric cancer who underwent surgery and received computed tomography scans between July 2016 and December 2017 at our institution was examined. Complete clinical information and peripheral lymphocyte subpopulations were available for all patients. A comprehensive array of statistical methodologies was employed to scrutinize variances in both clinical and pathological characteristics among patients, with the aim of identifying autonomous prognostic determinants requisite for the development of a nomogram. Subsequent assessment of the predictive efficacy of the nomogram was conducted via calibration curve analysis. RESULTS The study comprised a cohort of 190 participants, encompassing 126 males (66.32%) and 64 females (33.68%), with a mean age of 58.47 (±11.37) years. Patients were stratified into three groups based on CD3+/CD4+ cells and myosteatosis, with 24 in Group 1, 87 in Group 2 and 79 in Group 3. Notably, patients in the third group exhibited significantly shorter progression-free survival (PFS) (hazard ratio [HR] = 0.208, P < 0.001) and overall survival (OS) (HR = 0.193, P < 0.001). The subset of peripheral blood lymphocytes exhibited elevated levels of CD3+/CD4+ cells (HR = 2.485, P < 0.001) and heightened CD4+/CD8+ ratios (HR = 1.705, P = 0.038), whereas diminished CD19+ cell counts (HR = 0.210, P = 0.032) correlated with improved OS in patients. The individuals presenting with sarcopenia (HR = 4.089, P = 0.023) and myosteatosis (HR = 2.857, P < 0.001) displayed reduced OS. The multivariate Cox regression analysis showed that pathological tumour-node-metastasis stage, CD19+ cells, sarcopenia and CD3+/CD4+ cell-myosteatosis were identified as independent prognostic factors for PFS and OS in patients. The constructed nomograms for PFS and OS yielded C-index values of 0.839 (95% confidence interval [CI]: 0.798-0.880) and 0.836 (95% CI: 0.792-0.879), respectively. The calibration analysis demonstrated that the nomograms accurately predicted the 3- and 5-year survival rates of PFS and OS in patients. CONCLUSIONS Lymphocyte subsets, including CD3+/CD4+ cells, CD4+/CD8+ ratio and CD19+ cells, are indicative of clinical prognosis in gastric cancer surgery patients. Body composition parameters, such as sarcopenia and myosteatosis, are also associated with the patient's prognosis. The combination of CD3+/CD4+ cells with myosteatosis demonstrates enhanced prognostic value, enabling the identification of patients at high risk of post-operative metastasis and recurrence.
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Affiliation(s)
- Zhongze Du
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Youming Xiao
- Department of Pediatric SurgeryYaAn People's HospitalYa'anSichuanChina
| | - Guiming Deng
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Haibin Song
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yingwei Xue
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Hongjiang Song
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
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Bi S, Jiang Y, Guan G, Sun X, Wang X, Zhang L, Jing X. Prognostic Value of Myosteatosis and Creatinine-to-Cystatin C Ratio in Patients with Pancreatic Cancer Who Underwent Radical Surgery. Ann Surg Oncol 2024; 31:2913-2924. [PMID: 38319516 DOI: 10.1245/s10434-024-14969-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Myosteatosis is correlated with poor prognosis in some malignancies. The creatinine-to-cystatin ratio (CCR) is revealed to predict gastric cancer prognosis. However, the prognostic abilities of CCR and the combination of CCR and myosteatosis in patients with pancreatic cancer (PC) who underwent radical surgery remains unclear. METHODS The retrospective cohort study included 215 patients with PC who underwent radical surgery (January 2016-October 2021). Clinicopathological and serological data were collected on admission. Myosteatosis and other body composition indices were assessed by using computed tomography. The cutoff value of CCR was determined by using the Youden index. Risk factors responsible for poor overall survival (OS) and disease-free survival (DFS) were determined by the Cox proportional hazards model. RESULTS The myosteatosis group included 104 patients (average age, 61.3 ± 9.1 years). The best cutoff value for CCR was 1.09. CCR ≤ 1.09 was an independent predictive biomarker inversely corelated with OS (P = 0.036). Myosteatosis was an independent risk factor associated with OS and DFS (P = 0.032 and P = 0.004, respectively). Patients with concomitant myosteatosis and CCR ≤ 1.09 had the worst OS (P = 0.016). CONCLUSIONS Myosteatosis and CCR are prognostic biomarkers for survival in PC patients who underwent radical surgery. Patients with the coexistence of myosteatosis and CCR ≤ 1.09 deserve more attention.
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Affiliation(s)
- Shenghua Bi
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yueping Jiang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ge Guan
- Liver Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xueguo Sun
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xiaowei Wang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Lingyun Zhang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Xue Jing
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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