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Chen HB, Miao Q, Liu YS, Lou XY, Zhang LD, Tan XD, Liang KK. The prognostic value of myosteatosis in pancreatic cancer: A systematic review and meta-analysis. Clin Nutr 2024; 43:116-123. [PMID: 39442392 DOI: 10.1016/j.clnu.2024.10.017] [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: 07/07/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND AND AIMS The phenomenon of myosteatosis, characterized by the accumulation of ectopic fat within and surrounding skeletal muscle, has been identified as a potential adverse factor in the prognosis of individuals with cancer. This systematic review and meta-analysis sought to examine the association between myosteatosis and survival rates as well as postoperative complications in patients diagnosed with pancreatic cancer (PC). METHODS A systematic search was conducted on Web of Science, Embase, and Pubmed until March 25, 2024, to identify pertinent articles assessing the prognostic significance of myosteatosis in patients with PC, utilizing the search terms: myosteatosis, PC, and prognosis. The selected studies were utilized to investigate the prognostic impact of myosteatosis on the survival of PC patients. Forest plots and pooled effects models were employed to present the findings of this meta-analysis. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). A total of 565 studies were initially identified from the three databases, with 14 retrospective cohort studies ultimately included in the final quantitative analysis. RESULTS The meta-analysis revealed a significant association between myosteatosis and both overall survival (OS) [Hazard Ratio (HR): 1.55, 95 % Confidence Interval (CI): 1.40-1.72, P < 0.001, I2 = 0.0 %] and recurrence-free survival (RFS) (HR 1.48, 95 % CI: 1.17-1.86, P = 0.001, I2 = 0.0 %) in patients diagnosed with PC. Subgroup analyses revealed that myosteatosis continued to be a negative prognostic factor in PC across various treatment modalities, patient populations, and myosteatosis assessment methods. Additionally, myosteatosis was identified as a risk factor for postoperative complications, with a pooled odds ratio of 2.20 (95 % CI: 1.45-3.35, P < 0.001, I2 = 37.5 %). All included studies achieved NOS scores of 6 or higher, indicating a relatively high level of methodological quality. CONCLUSION These results suggest that myosteatosis is significantly associated with both survival outcomes and postoperative complications in patients with PC.
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Affiliation(s)
- Hong-Bo Chen
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Qi Miao
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110002, China
| | - Ya-Shu Liu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Xin-Yu Lou
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Lu-Dan Zhang
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Xiao-Dong Tan
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China.
| | - Ke-Ke Liang
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China.
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Keyl J, Bucher A, Jungmann F, Hosch R, Ziller A, Armbruster R, Malkomes P, Reissig TM, Koitka S, Tzianopoulos I, Keyl P, Kostbade K, Albers D, Markus P, Treckmann J, Nassenstein K, Haubold J, Makowski M, Forsting M, Baba HA, Kasper S, Siveke JT, Nensa F, Schuler M, Kaissis G, Kleesiek J, Braren R. Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study. ESMO Open 2024; 9:102219. [PMID: 38194881 PMCID: PMC10837775 DOI: 10.1016/j.esmoop.2023.102219] [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: 09/03/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Despite the prognostic relevance of cachexia in pancreatic cancer, individual body composition has not been routinely integrated into treatment planning. In this multicenter study, we investigated the prognostic value of sarcopenia and myosteatosis automatically extracted from routine computed tomography (CT) scans of patients with advanced pancreatic ductal adenocarcinoma (PDAC). PATIENTS AND METHODS We retrospectively analyzed clinical imaging data of 601 patients from three German cancer centers. We applied a deep learning approach to assess sarcopenia by the abdominal muscle-to-bone ratio (MBR) and myosteatosis by the ratio of abdominal inter- and intramuscular fat to muscle volume. In the pooled cohort, univariable and multivariable analyses were carried out to analyze the association between body composition markers and overall survival (OS). We analyzed the relationship between body composition markers and laboratory values during the first year of therapy in a subgroup using linear regression analysis adjusted for age, sex, and American Joint Committee on Cancer (AJCC) stage. RESULTS Deep learning-derived MBR [hazard ratio (HR) 0.60, 95% confidence interval (CI) 0.47-0.77, P < 0.005] and myosteatosis (HR 3.73, 95% CI 1.66-8.39, P < 0.005) were significantly associated with OS in univariable analysis. In multivariable analysis, MBR (P = 0.019) and myosteatosis (P = 0.02) were associated with OS independent of age, sex, and AJCC stage. In a subgroup, MBR and myosteatosis were associated with albumin and C-reactive protein levels after initiation of therapy. Additionally, MBR was also associated with hemoglobin and total protein levels. CONCLUSIONS Our work demonstrates that deep learning can be applied across cancer centers to automatically assess sarcopenia and myosteatosis from routine CT scans. We highlight the prognostic role of our proposed markers and show a strong relationship with protein levels, inflammation, and anemia. In clinical practice, automated body composition analysis holds the potential to further personalize cancer treatment.
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Affiliation(s)
- J Keyl
- Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany; Institute of Pathology, University Hospital Essen (AöR), Essen, Germany.
| | - A Bucher
- Institute for Diagnostic and Interventional Radiology, Goethe University Frankfurt, Frankfurt am Main, Germany; German Cancer Consortium (DKTK), Frankfurt partner site, Heidelberg, Germany
| | - F Jungmann
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany; Artificial Intelligence in Healthcare and Medicine, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - R Hosch
- Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany
| | - A Ziller
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany; Artificial Intelligence in Healthcare and Medicine, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - R Armbruster
- Institute for Diagnostic and Interventional Radiology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - P Malkomes
- Department of General, Visceral and Transplant Surgery, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - T M Reissig
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
| | - S Koitka
- Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen (AöR), Essen, Germany
| | - I Tzianopoulos
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany
| | - P Keyl
- Institute of Pathology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - K Kostbade
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - D Albers
- Department of Gastroenterology, Elisabeth Hospital Essen, Essen, Germany
| | - P Markus
- Department of General Surgery and Traumatology, Elisabeth Hospital Essen, Essen, Germany
| | - J Treckmann
- West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany; Department of General, Visceral and Transplant Surgery, University Hospital Essen, Essen, Germany
| | - K Nassenstein
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - J Haubold
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - M Makowski
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany
| | - M Forsting
- German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - H A Baba
- Institute of Pathology, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - S Kasper
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - J T Siveke
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Division of Solid Tumor Translational Oncology, German Cancer Consortium (DKTK Partner Site Essen) and German Cancer Research Center, DKFZ, Heidelberg, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - F Nensa
- Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - M Schuler
- Department of Medical Oncology, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany; National Center for Tumor Diseases (NCT), NCT West, Essen, Germany
| | - G Kaissis
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany; Artificial Intelligence in Healthcare and Medicine, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - J Kleesiek
- Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany; West German Cancer Center, University Hospital Essen (AöR), Essen, Germany; German Cancer Consortium (DKTK), Partner site University Hospital Essen (AöR), Essen, Germany; Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - R Braren
- Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany; German Cancer Consortium (DKTK), Munich partner site, Heidelberg, Germany
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Renman D, van Guelpen B, Anderson F, Axelsson J, Riklund K, Strigård K, Palmqvist R, Gunnarsson U, Gylling B. Association of pre-diagnostic physical exercise and peri-diagnostic body composition with mortality in non-metastatic colorectal cancer. Int J Colorectal Dis 2023; 38:239. [PMID: 37755537 PMCID: PMC10533590 DOI: 10.1007/s00384-023-04536-0] [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] [Accepted: 09/18/2023] [Indexed: 09/28/2023]
Abstract
PURPOSE Sarcopenia and myosteatosis, quantified via computed tomography (CT), are associated with poor colorectal cancer outcomes. These body composition estimates can be influenced by physical exercise. We explored the correlation between pre-diagnostic physical exercise, body composition close to diagnosis, and the combined prognosis impact of these factors. METHODS We studied 519 stage I-III colorectal cancer (CRC) cases diagnosed 2000-2016 with pre-diagnostic self-reported recreational physical exercise data collected in the prospective, population-based Northern Sweden Health and Disease Study, and CT-estimated skeletal muscle index (SMI) or skeletal muscle density (SMD). Risk estimates were calculated by multivariable logistic regression and Cox proportional hazards models. RESULTS No association was seen between low pre-diagnostic physical exercise and sarcopenia/myosteatosis in the multivariable model adjusted for age, sex, educational level, tumor stage, and tumor location. In multivariable Cox regression models, the combination of low pre-diagnostic physical exercise and either sarcopenia or myosteatosis at the time of diagnosis was associated with cancer-specific mortality compared to the reference group of high physical exercise combined with no sarcopenia/myosteatosis (adjusted HR 1.94 95% CI 1.00-3.76 for sarcopenia and adjusted HR 2.39 95% CI 1.16-4.94 for myosteatosis). CONCLUSIONS The combined presence of low pre-diagnostic physical exercise and sarcopenia or myosteatosis was associated with increased CRC-specific mortality. Despite the positive effect on prognosis, physical exercise did not alter body composition estimates at diagnosis, which could indicate attenuation from other factors.
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Affiliation(s)
- David Renman
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden.
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Fredrick Anderson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Jan Axelsson
- Department of Radiation Sciences, Radiation Physics, Umeå University, Umeå, Sweden
| | - Katrine Riklund
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
| | - Karin Strigård
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden
| | - Richard Palmqvist
- Department of Medical Biosciences Pathology, Umeå University, Umeå, Sweden
| | - Ulf Gunnarsson
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden
| | - Björn Gylling
- Department of Medical Biosciences Pathology, Umeå University, Umeå, Sweden
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Inoue M, Uchida K, Nagano Y, Matsushita K, Koike Y, Okita Y, Suzuki T, Toiyama Y. Preoperative myopenia and myosteatosis and their impact on postoperative complications in children with inflammatory bowel disease. Surg Today 2022; 53:483-489. [PMID: 36219246 DOI: 10.1007/s00595-022-02596-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 08/18/2022] [Indexed: 10/17/2022]
Abstract
PURPOSE To assess the severity of preoperative myopenia and myosteatosis in pediatric patients with inflammatory bowel disease (IBD) and examine their impact on postoperative complications. METHODS The subjects of this retrospective study were 30 pediatric patients with IBD (22 with ulcerative colitis (UC) and 8 with Crohn's disease (CD)) and 67 age-matched controls. Preoperative body mass index (BMI), psoas muscle index (PMI), and intramuscular adipose tissue content were compared between the patient groups, to investigate their association with postoperative complications. RESULTS BMI and PMI were significantly lower in the IBD patients than in the controls (p < 0.0001, p < 0.0001, respectively). CD was associated with significantly lower BMI and PMI (p = 0.01, p = 0.01, respectively) than UC. Intramuscular adipose tissue content was comparable between the IBD patients and the controls and between the UC and CD patients. There were no significant differences among the three indices in relation to the presence or absence of postoperative complications in patients with IBD. When limited to surgical site infection (SSI), only PMI was significantly lower in the patients with SSI than in those without SSI (p = 0.04). CONCLUSIONS Although BMI and PMI were lower preoperatively in pediatric IBD patients than in controls, only myopenia seemed to affect the development of SSI.
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Affiliation(s)
- Mikihiro Inoue
- Department of Pediatric Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukakecho, Toyoake, Aichi, 470-1192, Japan. .,Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
| | - Keiichi Uchida
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.,Department of Pediatric Surgery, Mie Prefectural General Medical Center, 5450-132 Hinaga, Yokkaichi, Mie, 510-8561, Japan
| | - Yuka Nagano
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Kohei Matsushita
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Yuhki Koike
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Yoshiki Okita
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
| | - Tatsuya Suzuki
- Department of Pediatric Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukakecho, Toyoake, Aichi, 470-1192, Japan
| | - Yuji Toiyama
- Department of Gastrointestinal and Pediatric Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan
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