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Querido NR, Bours MJL, Brecheisen R, Valkenburg-van Iersel L, Breukink SO, Janssen-Heijnen MLG, Keulen ETP, Konsten JLM, de Vos-Geelen J, Weijenberg MP, Simons CCJM. Validation of an automated segmentation method for body composition analysis in colorectal cancer patients using diagnostic abdominal computed tomography images. Clin Nutr ESPEN 2024; 63:659-667. [PMID: 39098602 DOI: 10.1016/j.clnesp.2024.07.1054] [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: 03/01/2024] [Revised: 07/17/2024] [Accepted: 07/27/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND & AIMS Several automated programs have been developed to facilitate body composition analysis of images from abdominal computed tomography (CT) scans. External validation in patients with colorectal cancer is necessary for use in research and clinical practice. Our aim was to validate an automatic method (AutoMATiCA) of segmenting CT images at the third lumbar level (L3) from patients with colorectal cancer, by comparing with manual segmentation. METHODS Diagnostic abdominal CT scans of consecutive patients with stage I-III colorectal cancer were analysed to measure cross-sectional areas and tissue densities of skeletal muscle and intra-muscular, visceral, and subcutaneous adipose tissue. Trained analysts performed manual segmentation of L3 CT images using SliceOmatic. Automatic segmentation was performed using AutoMATiCA, an open-source software. The Dice similarity coefficient (DSC) was calculated to assess segmentation accuracy. Agreement of automatic with manual segmentation was evaluated using intra-class correlation coefficients (ICCs) and Bland-Altman plots with limits of agreement. RESULTS A total of 292 scans were included, of which 62% were from male patients. The agreement of AutoMATiCA with the manual segmentation was excellent, with median DSC values ranging from 0.900 to 0.991 and ICCs above 0.95 for all segmented areas. No systematic deviations were observed in Bland-Altman plots for all segmented areas, with overall narrow limits of agreement. CONCLUSIONS AutoMATiCA provides an accurate segmentation of abdominal CT images from patients with colorectal cancer. Our findings support its use as a highly efficient automated tool for body composition analysis in research and potentially also in clinical practice.
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Affiliation(s)
- Nadira R Querido
- Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
| | - Martijn J L Bours
- Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
| | - Ralph Brecheisen
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Liselot Valkenburg-van Iersel
- Department of Internal Medicine, Division of Medical Oncology, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Stephanie O Breukink
- Department of Surgery, GROW Research Institute for Oncology and Reproduction, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Maryska L G Janssen-Heijnen
- Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands; Department of Clinical Epidemiology, VieCuri Medical Centre, Venlo, the Netherlands
| | - Eric T P Keulen
- Department of Internal Medicine and Gastroenterology, Zuyderland Medical Centre Sittard- Geleen, Geleen, the Netherlands
| | - Joop L M Konsten
- Department of Surgery, VieCuri Medical Centre, Venlo, the Netherlands
| | - Judith de Vos-Geelen
- Department of Internal Medicine, Division of Medical Oncology, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Matty P Weijenberg
- Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
| | - Colinda C J M Simons
- Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands
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Han CJ, Ning X, Burd CE, Spakowicz DJ, Tounkara F, Kalady MF, Noonan AM, McCabe S, Von Ah D. Chemotoxicity and Associated Risk Factors in Colorectal Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel) 2024; 16:2597. [PMID: 39061235 PMCID: PMC11274507 DOI: 10.3390/cancers16142597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) patients experience multiple types of chemotoxicity affecting treatment compliance, survival, and quality of life (QOL). Prior research shows clinician-reported chemotoxicity (i.e., grading scales or diagnostic codes) predicts rehospitalization and cancer survival. However, a comprehensive synthesis of clinician-reported chemotoxicity is still lacking. OBJECTIVES We conducted a systematic review and meta-analysis to determine chemotoxicity's prevalence and risk factors in CRC. METHODS A systematic search from 2009 to 2024 yielded 30 studies for review, with 25 included in the meta-analysis. RESULTS Pooled prevalences of overall, non-hematological, and hematological moderate-to-severe toxicities were 45.7%, 39.2%, and 25.3%, respectively. The most common clinician-reported chemotoxicities were gastrointestinal (GI) toxicity (22.9%) and neuropathy or neutropenia (17.9%). Significant risk factors at baseline were malnutritional status, frailty, impaired immune or hepato-renal functions, short telomere lengths, low gut lactobacillus levels, age, female sex, aggressive chemotherapy, and low QOL. Age was associated with neutropenia (β: -1.44) and GI toxicity (β:1.85) (p-values < 0.01). Older adults (>65 y.o.) had higher prevalences of overall (OR: 1.14) and GI (OR: 1.65) toxicities, but a lower prevalence of neutropenia (OR: 0.65) than younger adults (p-values < 0.05). CONCLUSIONS Our findings highlight the importance of closely monitoring and managing chemotoxicity in CRC patients receiving chemotherapy.
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Affiliation(s)
- Claire J. Han
- Center for Healthy Aging, Self-Management and Complex Care, College of Nursing, The Ohio State University, Columbus, OH 43210, USA; (S.M.); (D.V.A.)
- The Ohio State University–James: Cancer Treatment and Research Center, Columbus, OH 43210, USA
| | - Xia Ning
- Clinical Informatics and Implementation Science Biomedical Informatics (BMI), Computer Science and Engineering (CSE), College of Engineering, The Ohio State University, Columbus, OH 43210, USA;
| | - Christin E. Burd
- Departments of Molecular Genetics, Cancer Biology and Genetics, The Ohio State University, Columbus, OH 43210, USA;
| | - Daniel J. Spakowicz
- Pelotonia Institute for Immuno-Oncology, Division of Medical Oncology, The Ohio State University, Comprehensive Cancer Center, Columbus, OH 43210, USA;
| | - Fode Tounkara
- Department of Biomedical Informatics, Ohio State University College of Medicine, Columbus, OH 43210, USA;
| | - Matthew F. Kalady
- Division of Colon and Rectal Surgery, The Ohio State University–James: Cancer Treatment and Research Center, Columbus, OH 43210, USA;
| | - Anne M. Noonan
- GI Medical Oncology Selection, The Ohio State University–James: Cancer Treatment and Research Center, Columbus, OH 43210, USA;
| | - Susan McCabe
- Center for Healthy Aging, Self-Management and Complex Care, College of Nursing, The Ohio State University, Columbus, OH 43210, USA; (S.M.); (D.V.A.)
| | - Diane Von Ah
- Center for Healthy Aging, Self-Management and Complex Care, College of Nursing, The Ohio State University, Columbus, OH 43210, USA; (S.M.); (D.V.A.)
- The Ohio State University–James: Cancer Treatment and Research Center, Columbus, OH 43210, USA
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Golder AM, Ferguson M, McMillan P, Mansouri D, Horgan PG, Roxburgh CS, Dolan RD, McGovern J, McMillan DC. CT-derived body composition and differential association with age, TNM stage and systemic inflammation in patients with colon cancer. Sci Rep 2024; 14:15673. [PMID: 38977870 PMCID: PMC11231341 DOI: 10.1038/s41598-024-65871-y] [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: 10/25/2023] [Accepted: 06/25/2024] [Indexed: 07/10/2024] Open
Abstract
Low skeletal muscle index/density (SMI/SMD) is prevalent in cancer, adversely prognostic and associated with tumour stage and the systemic inflammatory response (SIR). Age and SMI/SMD has not been widely studied. The present study analyses the association between age and SMI/SMD after adjustment for other clinicopathological factors. Patients undergoing resectional surgery for TNM Stage I-III disease within the West of Scotland between 2011 and 2014 were identified. A single CT slice was obtained from each patients staging CT scan. SMI and SMD were stratified normal/abnormal. The SIR was stratified using Systemic Inflammatory Grade (SIG). When stratified by age (< 50/50s/60s/70s/80+), 39%/38%/48%/62%/74% and 27%/48%/64%/82%/92% of patients had a low SMI and SMD respectively (both p < 0.001). Older age (OR 1.47, p < 0.001), female sex (OR 1.32, p = 0.032), lower socioeconomic deprivation (OR 1.15, p = 0.004), higher ASA (OR 1.30, p = 0.019), emergency presentation (OR 1.82, p = 0.003), lower BMI (OR 0.67, p < 0.002) and higher SIG (OR 1.23, p < 0.001) were independently associated with low SMI. Older age (OR 2.28, p < 0.001), female sex (OR 1.38, p = 0.038), higher ASA (OR 1.92, p < 0.001), emergency presentation (OR 1.71, p = 0.023), and higher SIG (OR 1.37, p < 0.001) were independently associated with lower SMD. Tumour factors were not independently associated with either SMI/SMD. Age was a major factor associated with low SMI/SMD in patients with colon cancer. Therefore, in these patients it is likely that this represents largely constitutional body composition as opposed to being a disease mediated effect. Adjustment for age is required when considering the cancer mediated effect on SMI/SMD in patients with colon cancer.
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Affiliation(s)
- Allan M Golder
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK.
| | - Michael Ferguson
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Paul McMillan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - David Mansouri
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Paul G Horgan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Campbell S Roxburgh
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Ross D Dolan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Josh McGovern
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
| | - Donald C McMillan
- Academic Unit of Surgery, University of Glasgow, Level 2, New Lister Building, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK
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Song M, Liu Z, Wu F, Nie T, Heng Y, Xu J, Huang N, Wu X, Cao Y, Hu G. Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients. Eur Radiol 2024:10.1007/s00330-024-10849-7. [PMID: 38913246 DOI: 10.1007/s00330-024-10849-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 04/29/2024] [Accepted: 06/03/2024] [Indexed: 06/25/2024]
Abstract
OBJECTIVE To investigate the prognostic value of preoperative body composition and serum tumor markers (STM) in patients undergoing surgical treatment for colorectal cancer (CRC) and to establish the prognostic score for patients with CRC. METHODS This study enrolled 365 patients (training set 245, validation set 120) with CRC who underwent surgical resection. The predictive value of various body composition features and STM for determining CRC prognosis were compared. A novel index score based on the independent risk factors from Cox regression for CRC patients was established and evaluated for its usefulness. RESULTS Multivariate Cox regression showed that low skeletal muscle radiodensity (SMD) (p = 0.020), low subcutaneous fat area (SFA) (p = 0.029), high carcinoembryonic antigen (CEA) (p = 0.008), and high alpha-fetoprotein (AFP) (p = 0.039) were all independent prognostic factors for poor overall survival (OS). The multifactorial analysis indicated that high intermuscular fat area (IMFA) (p = 0.033) and high CEA (p = 0.009) were independent prognostic factors for poor disease-free survival (DFS). Based on these findings, two scoring systems for OS and DFS were established in the training datasets. CRC patients who scored higher on the new scoring systems had lower OS and DFS (both p < 0.001) as shown in the Kaplan-Meier survival curves in the training and validation datasets. CONCLUSION In predicting the prognosis of CRC patients, SFA and SMD are superior to other body composition measurements. A scoring system based on body composition and STM can have prognostic value and clinical applicability. CLINICAL RELEVANCE STATEMENT This scoring system, combining body composition and serum tumor markers, may help predict postoperative survival of CRC patients and help clinicians make well-informed decisions regarding the treatment of patients. KEY POINTS Colorectal cancer prognosis can be related to body composition. High intermuscular fat area and CEA were independent prognostic factors for poor disease-free survival. This scoring system, based on body composition and tumor markers, can prognosticate for colorectal cancer patients.
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Affiliation(s)
- Mingming Song
- Department of General Surgery, The Second People's Hospital of Hefei Affiliated to Bengbu Medical University, Hefei, 230011, China
- Department of General Surgery, The Second People's Hospital of Hefei, Hefei, 230011, China
| | - Zhihao Liu
- China Medical University, Shenyang, 110122, China
| | - Feihong Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Tong Nie
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yixin Heng
- Department of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China
| | - Jiaxin Xu
- Department of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China
| | - Ning Huang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaoyu Wu
- Department of General Surgery, The First Affiliated Hospital of Shihezi University, Shihezi, 832000, P.R. China
| | - Yinghao Cao
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- National Local Joint Laboratory for Advanced Textile Processing and Clean Production, Wuhan Textile University, Wuhan, 430073, China.
| | - Gang Hu
- Department of General Surgery, The Second People's Hospital of Hefei Affiliated to Bengbu Medical University, Hefei, 230011, China.
- Department of General Surgery, The Second People's Hospital of Hefei, Hefei, 230011, China.
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5
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Cao K, Yeung J, Arafat Y, Qiao J, Gartrell R, Master M, Yeung JMC, Baird PN. Using a new artificial intelligence-aided method to assess body composition CT segmentation in colorectal cancer patients. J Med Radiat Sci 2024. [PMID: 38777346 DOI: 10.1002/jmrs.798] [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: 10/31/2023] [Accepted: 05/04/2024] [Indexed: 05/25/2024] Open
Abstract
INTRODUCTION This study aimed to evaluate the accuracy of our own artificial intelligence (AI)-generated model to assess automated segmentation and quantification of body composition-derived computed tomography (CT) slices from the lumber (L3) region in colorectal cancer (CRC) patients. METHODS A total of 541 axial CT slices at the L3 vertebra were retrospectively collected from 319 patients with CRC diagnosed during 2012-2019 at a single Australian tertiary institution, Western Health in Melbourne. A two-dimensional U-Net convolutional network was trained on 338 slices to segment muscle, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Manual reading of these same slices of muscle, VAT and SAT was created to serve as ground truth data. The Dice similarity coefficient was used to assess the U-Net-based segmentation performance on both a validation dataset (68 slices) and a test dataset (203 slices). The measurement of cross-sectional area and Hounsfield unit (HU) density of muscle, VAT and SAT were compared between two methods. RESULTS The segmentation for muscle, VAT and SAT demonstrated excellent performance for both the validation (Dice similarity coefficients >0.98, respectively) and test (Dice similarity coefficients >0.97, respectively) datasets. There was a strong positive correlation between manual and AI segmentation measurements of body composition for both datasets (Spearman's correlation coefficients: 0.944-0.999, P < 0.001). CONCLUSIONS Compared to the gold standard, this fully automated segmentation system exhibited a high accuracy for assessing segmentation and quantification of abdominal muscle and adipose tissues of CT slices at the L3 in CRC patients.
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Affiliation(s)
- Ke Cao
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
| | - Josephine Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
| | - Yasser Arafat
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
- Department of Colorectal Surgery, Western Health, Melbourne, Victoria, Australia
| | - Jing Qiao
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
| | - Richard Gartrell
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
| | - Mobin Master
- Department of Radiology, Western Health, Melbourne, Victoria, Australia
| | - Justin M C Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia
- Department of Colorectal Surgery, Western Health, Melbourne, Victoria, Australia
| | - Paul N Baird
- Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia
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Papadopetraki A, Giannopoulos A, Maridaki M, Zagouri F, Droufakou S, Koutsilieris M, Philippou A. The Role of Exercise in Cancer-Related Sarcopenia and Sarcopenic Obesity. Cancers (Basel) 2023; 15:5856. [PMID: 38136400 PMCID: PMC10741686 DOI: 10.3390/cancers15245856] [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: 10/24/2023] [Revised: 12/03/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
One of the most common adverse effects of cancer and its therapeutic strategies is sarcopenia, a condition which is characterised by excess muscle wasting and muscle strength loss due to the disrupted muscle homeostasis. Moreover, cancer-related sarcopenia may be combined with the increased deposition of fat mass, a syndrome called cancer-associated sarcopenic obesity. Both clinical conditions have significant clinical importance and can predict disease progression and survival. A growing body of evidence supports the claim that physical exercise is a safe and effective complementary therapy for oncology patients which can limit the cancer- and its treatment-related muscle catabolism and promote the maintenance of muscle mass. Moreover, even after the onset of sarcopenia, exercise interventions can counterbalance the muscle mass loss and improve the clinical appearance and quality of life of cancer patients. The aim of this narrative review was to describe the various pathophysiological mechanisms, such as protein synthesis, mitochondrial function, inflammatory response, and the hypothalamic-pituitary-adrenal axis, which are regulated by exercise and contribute to the management of sarcopenia and sarcopenic obesity. Moreover, myokines, factors produced by and released from exercising muscles, are being discussed as they appear to play an important role in mediating the beneficial effects of exercise against sarcopenia.
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Affiliation(s)
- Argyro Papadopetraki
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.P.)
| | - Antonios Giannopoulos
- Section of Sports Medicine, Department of Community Medicine & Rehabilitation, Umeå University, 901 87 Umeå, Sweden;
- National Centre for Sport and Exercise Medicine (NCSEM), School of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire LE11 3TU, UK
| | - Maria Maridaki
- Faculty of Physical Education and Sport Science, National and Kapodistrian University of Athens, 172 37 Dafne, Greece
| | - Flora Zagouri
- Department of Clinical Therapeutics, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | | | - Michael Koutsilieris
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.P.)
| | - Anastassios Philippou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.P.)
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Cao K, Yeung J, Arafat Y, Choi C, Wei MYK, Chan S, Lee M, Baird PN, Yeung JMC. Can AI-based body composition assessment outperform body surface area in predicting dose-limiting toxicities for colonic cancer patients on chemotherapy? J Cancer Res Clin Oncol 2023; 149:13915-13923. [PMID: 37540253 PMCID: PMC10590342 DOI: 10.1007/s00432-023-05227-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
PURPOSE Gold standard chemotherapy dosage is based on body surface area (BSA); however many patients experience dose-limiting toxicities (DLT). We aimed to evaluate the effectiveness of BSA, two-dimensional (2D) and three-dimensional (3D) body composition (BC) measurements derived from Lumbar 3 vertebra (L3) computed tomography (CT) slices, in predicting DLT in colon cancer patients. METHODS 203 patients (60.87 ± 12.42 years; 97 males, 47.8%) receiving adjuvant chemotherapy (Oxaliplatin and/or 5-Fluorouracil) were retrospectively evaluated. An artificial intelligence segmentation model was used to extract 2D and 3D body composition measurements from each patients' single mid-L3 CT slice as well as multiple-L3 CT scans to produce a 3D BC report. DLT was defined as any incidence of dose reduction or discontinuation due to chemotherapy toxicities. A receiver operating characteristic (ROC) analysis was performed on BSA and individual body composition measurements to demonstrate their predictive performance. RESULTS A total of 120 (59.1%) patients experienced DLT. Age and BSA did not vary significantly between DLT and non-DLT group. Females were significantly more likely to experience DLT (p = 4.9 × 10-3). In all patients, the predictive effectiveness of 2D body composition measurements (females: AUC = 0.50-0.54; males: AUC = 0.50-0.61) was equivalent to that of BSA (females: AUC = 0.49; males: AUC = 0.58). The L3 3D skeletal muscle volume was the most predictive indicator of DLT (AUC of 0.66 in females and 0.64 in males). CONCLUSION Compared to BSA and 2D body composition measurements, 3D L3 body composition measurements had greater potential to predict DLT in CRC patients receiving chemotherapy and this was sex dependent.
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Affiliation(s)
- Ke Cao
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Josephine Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Yasser Arafat
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
- Department of Colorectal Surgery, Western Health, Melbourne, Australia
| | - CheukShan Choi
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Matthew Y K Wei
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
- Department of Colorectal Surgery, Western Health, Melbourne, Australia
| | - Steven Chan
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Margaret Lee
- Department of Oncology, Western Health, Melbourne, Australia
| | - Paul N Baird
- Department of Surgery, University of Melbourne, Melbourne, Australia
| | - Justin M C Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
- Department of Colorectal Surgery, Western Health, Melbourne, Australia.
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8
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Cao K, Yeung J, Arafat Y, Wei MYK, Yeung JMC, Baird PN. Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3 CT Scan. Radiol Res Pract 2023; 2023:1047314. [PMID: 37881809 PMCID: PMC10597731 DOI: 10.1155/2023/1047314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 10/27/2023] Open
Abstract
Purpose Body composition analysis in colorectal cancer (CRC) typically utilises a single 2D-abdominal axial CT slice taken at the mid-L3 level. The use of artificial intelligence (AI) allows for analysis of the entire L3 vertebra (non-mid-L3 and mid-L3). The goal of this study was to determine if the use of an AI approach offered any additional information on capturing body composition measures. Methods A total of 2203 axial CT slices of the entire L3 level (4-46 slices were available per patient) were retrospectively collected from 203 CRC patients treated at Western Health, Melbourne (97 males; 47.8%). A pretrained artificial intelligence (AI) model was used to segment muscle, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) on these slices. The difference in body composition measures between mid-L3 and non-mid-L3 scans was compared for each patient, and for males and females separately. Results Body composition measures derived from non-mid-L3 scans exhibited a median range of 0.85% to 6.28% (average percent difference) when compared to the use of a single mid-L3 scan. Significant variation in the VAT surface area (p = 0.02) was observed in females compared to males, whereas male patients exhibited a greater variation in SAT surface area (p < 0.001) and radiodensity (p = 0.007). Conclusion Significant differences in various body composition measures were observed when comparing non-mid-L3 slices to only the mid-L3 slice. Researchers should be aware that considering only the use of a single midpoint L3 CT scan slice will impact the estimate of body composition measurements.
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Affiliation(s)
- Ke Cao
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Josephine Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
| | - Yasser Arafat
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
- Department of Colorectal Surgery, Western Health, University of Melbourne, Melbourne, Australia
| | - Matthew Y. K. Wei
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
- Department of Colorectal Surgery, Western Health, University of Melbourne, Melbourne, Australia
| | - Justin M. C. Yeung
- Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia
- Department of Colorectal Surgery, Western Health, University of Melbourne, Melbourne, Australia
| | - Paul N. Baird
- Department of Surgery, University of Melbourne, Melbourne, Australia
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Noorwali EA, Aljaadi AM, Al-Otaibi HH. Change in Growth Status and Obesity Rates among Saudi Children and Adolescents Is Partially Attributed to Discrepancies in Definitions Used: A Review of Anthropometric Measurements. Healthcare (Basel) 2023; 11:1010. [PMID: 37046938 PMCID: PMC10094271 DOI: 10.3390/healthcare11071010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023] Open
Abstract
Anthropometric measurements are the first step in determining the health status in children and adolescents. Clinicians require standardized protocols for proper assessment and interpretation. Therefore, this study aims to review the literature of international and Saudi national guidelines and studies previously conducted in Saudi children and adolescents to provide recommendations to establish Saudi guidelines in line with the Saudi 2030 Vision. Systematic search was conducted in several databases: Medline, PubMed, Saudi Digital Library and Google Scholar from January 1990 to January 2021. Further, 167 studies measured anthropometrics in Saudi children/adolescents; 33 of these studies contributed to the establishment/adjustment of Saudi growth charts or specific cutoffs or studied the trend of growth in representative samples or adjusted the international curves to be used in Saudis. This review warrants updating growth charts and establishing the standard cutoffs of Saudi adolescent anthropometrics to avoid over/underreporting. This review provides insights and recommendations regarding the resources that can be used to establish national guidelines in anthropometric measurements for Saudi children/adolescents. This review will help policymakers and the Ministry of Health to establish standardized protocols to be used in Saudi Arabia for anthropometric measurements that may assist in detecting malnutrition.
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Affiliation(s)
- Essra A. Noorwali
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Abeer M. Aljaadi
- Department of Clinical Nutrition, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Hala H. Al-Otaibi
- College of Agricultural and Food Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia
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10
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Erickson N, Sullivan ES, Kalliostra M, Laviano A, Wesseling J. Nutrition care is an integral part of patient-centred medical care: a European consensus. Med Oncol 2023; 40:112. [PMID: 36881207 PMCID: PMC9992033 DOI: 10.1007/s12032-023-01955-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 01/18/2023] [Indexed: 03/08/2023]
Abstract
While healthcare is becoming more patient-centred, evidence-based nutrition interventions are still not accessible to all patients with cancer. As nutrition interventions directly improve clinical and socioeconomic outcomes, patient-centred care is not complete without nutrition care. While awareness of the negative impact of malnutrition on clinical outcomes, quality of life, and functional and emotional wellbeing in cancer is growing, there is relatively poor awareness amongst patients, clinicians, policymakers, and payers that nutrition interventions -particularly those begun in the early stages of the disease course- are an effective method for improving such outcomes. The European Beating Cancer Plan recognises the need for a holistic approach to cancer but lacks actionable recommendations to implement integrated nutrition cancer care at member state level. When considering nutrition care as a human right, the impact on quality of life and functional status must be prioritized, as these may be equally as important to patients, especially in advanced cancer where improvements in clinical outcomes such as survival or tumour burden may not be attainable. We formulate actions needed at the regional and the European level to ensure integrated nutrition care for all patients with cancer. The 4 main Take Home Messages are as follows: 1. The goals of Europe's Beating Cancer Plan cannot be achieved without integrating nutrition across the cancer care continuum. 2. Malnutrition negatively impacts clinical outcomes and has socioeconomic consequences for patients and healthcare systems. 3. Championing integrating nutrition care into cancer care is therefore the duty and ethical responsibility of clinicians (Hippocratic Oath-primum non nocere) and 4. Nutrition care is a cost effective, evidence-based therapy.
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Affiliation(s)
- Nicole Erickson
- Comprehensive Cancer Center Munich, Ludwig Maximilian University of Munich Hospital, Munich, Germany.
- Writing Group, The European Union Thematic Network on Integrated Nutrition in Cancer Care (INC2), Croydon, UK.
- European Federation of the Associations of Dietitians (EFAD), Naarden, The Netherlands.
| | - Erin Stella Sullivan
- Writing Group, The European Union Thematic Network on Integrated Nutrition in Cancer Care (INC2), Croydon, UK
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Marianna Kalliostra
- Writing Group, The European Union Thematic Network on Integrated Nutrition in Cancer Care (INC2), Croydon, UK
- European Federation of the Associations of Dietitians (EFAD), Naarden, The Netherlands
- The European Nutrition for Health Alliance, London, UK
| | - Alessandro Laviano
- Writing Group, The European Union Thematic Network on Integrated Nutrition in Cancer Care (INC2), Croydon, UK
- The European Nutrition for Health Alliance, London, UK
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Joost Wesseling
- Writing Group, The European Union Thematic Network on Integrated Nutrition in Cancer Care (INC2), Croydon, UK
- The European Nutrition for Health Alliance, London, UK
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11
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Anyene I, Caan B, Williams GR, Popuri K, Lenchik L, Giri S, Chow V, Beg MF, Cespedes Feliciano EM. Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival. J Cachexia Sarcopenia Muscle 2022; 13:2974-2984. [PMID: 36052755 PMCID: PMC9745558 DOI: 10.1002/jcsm.13080] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/06/2022] [Accepted: 08/14/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Computed tomography (CT) scans are routinely obtained in oncology and provide measures of muscle and adipose tissue predictive of morbidity and mortality. Automated segmentation of CT has advanced past single slices to multi-slice measurements, but the concordance of these approaches and their associations with mortality after cancer diagnosis have not been compared. METHODS A total of 2871 patients with colorectal cancer diagnosed during 2012-2017 at Kaiser Permanente Northern California underwent abdominal CT scans as part of routine clinical care from which mid-L3 cross-sectional areas and multi-slice T12-L5 volumes of skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT) and intermuscular adipose (IMAT) tissues were assessed using Data Analysis Facilitation Suite, an automated multi-slice segmentation platform. To facilitate comparison between single-slice and multi-slice measurements, sex-specific z-scores were calculated. Pearson correlation coefficients and Bland-Altman analysis were used to quantify agreement. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for death adjusting for age, sex, race/ethnicity, height, and tumour site and stage. RESULTS Single-slice area and multi-slice abdominal volumes were highly correlated for all tissues (SKM R = 0.92, P < 0.001; SAT R = 0.97, P < 0.001; VAT R = 0.98, P < 0.001; IMAT R = 0.89, P < 0.001). Bland-Altman plots had a bias of 0 (SE: 0.00), indicating high average agreement between measures. The limits of agreement were narrowest for VAT ( ± 0.42 SD) and SAT ( ± 0.44 SD), and widest for SKM ( ± 0.78 SD) and IMAT ( ± 0.92 SD). The HRs had overlapping CIs, and similar magnitudes and direction of effects; for example, a 1-SD increase in SKM area was associated with an 18% decreased risk of death (HR = 0.82; 95% CI: 0.72-0.92), versus 15% for volume from T12 to L5 (HR = 0.85; 95% CI: 0.75-0.96). CONCLUSIONS Single-slice L3 areas and multi-slice T12-L5 abdominal volumes of SKM, VAT, SAT and IMAT are highly correlated. Associations between area and volume measures with all-cause mortality were similar, suggesting that they are equivalent tools for population studies if body composition is assessed at a single timepoint. Future research should examine longitudinal changes in multi-slice tissues to improve individual risk prediction.
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Affiliation(s)
- Ijeamaka Anyene
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Bette Caan
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Grant R Williams
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.,Division of Hematology/Oncology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Karteek Popuri
- School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
| | - Leon Lenchik
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Smith Giri
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA.,Division of Hematology/Oncology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Vincent Chow
- School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
| | - Mirza Faisal Beg
- School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
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12
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Arafat Y, Loft M, Cao K, Reid F, Kosmider S, Lee M, Gibbs P, Faragher IG, Yeung JM. Current colorectal cancer chemotherapy dosing limitations and novel assessments to personalize treatments. ANZ J Surg 2022; 92:2784-2785. [PMID: 36398349 PMCID: PMC9827998 DOI: 10.1111/ans.18046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/02/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Yasser Arafat
- Department of Colorectal SurgeryWestern HealthMelbourneVictoriaAustralia,Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia
| | - Matthew Loft
- Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia,Department of OncologyWestern HealthMelbourneVictoriaAustralia
| | - Ke Cao
- Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia
| | - Fiona Reid
- Department of Colorectal SurgeryWestern HealthMelbourneVictoriaAustralia,Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia
| | | | - Margret Lee
- Department of OncologyWestern HealthMelbourneVictoriaAustralia,Personalised Oncology DivisionWalter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia,Consultant Department of Medical OncologyEastern HealthMelbourneVictoriaAustralia
| | - Peter Gibbs
- Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia,Department of OncologyWestern HealthMelbourneVictoriaAustralia,Personalised Oncology DivisionWalter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
| | - Ian G. Faragher
- Department of Colorectal SurgeryWestern HealthMelbourneVictoriaAustralia,Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia
| | - Justin M Yeung
- Department of Colorectal SurgeryWestern HealthMelbourneVictoriaAustralia,Western PrecinctThe University of MelbourneMelbourneVictoriaAustralia
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13
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Francke MI, Visser WJ, Severs D, de Mik-van Egmond AME, Hesselink DA, De Winter BCM. Body composition is associated with tacrolimus pharmacokinetics in kidney transplant recipients. Eur J Clin Pharmacol 2022; 78:1273-1287. [PMID: 35567629 PMCID: PMC9283366 DOI: 10.1007/s00228-022-03323-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/15/2022] [Indexed: 12/03/2022]
Abstract
PURPOSE A population pharmacokinetic (popPK) model may be used to improve tacrolimus dosing and minimize under- and overexposure in kidney transplant recipients. It is unknown how body composition parameters relate to tacrolimus pharmacokinetics and which parameter correlates best with tacrolimus exposure. The aims of this study were to investigate which body composition parameter has the best association with the pharmacokinetics of tacrolimus and to describe this relationship in a popPK model. METHODS Body composition was assessed using bio-impedance spectroscopy (BIS). Pharmacokinetic analysis was performed using nonlinear mixed effects modeling (NONMEM). Lean tissue mass, adipose tissue mass, over-hydration, and phase angle were measured with BIS and then evaluated as covariates. The final popPK model was evaluated using goodness-of-fit plots, visual predictive checks, and a bootstrap analysis. RESULTS In 46 kidney transplant recipients, 284 tacrolimus concentrations were measured. The base model without body composition parameters included age, plasma albumin, plasma creatinine, CYP3A4 and CYP3A5 genotypes, and hematocrit as covariates. After full forward inclusion and backward elimination, only the effect of the phase angle on clearance (dOFV = - 13.406; p < 0.01) was included in the final model. Phase angle was positively correlated with tacrolimus clearance. The inter-individual variability decreased from 41.7% in the base model to 34.2% in the final model. The model was successfully validated. CONCLUSION The phase angle is the bio-impedance spectroscopic parameter that correlates best with tacrolimus pharmacokinetics. Incorporation of the phase angle in a popPK model can improve the prediction of an individual's tacrolimus dose requirement after transplantation.
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Affiliation(s)
- M I Francke
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Room Rg-527, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands.
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, MC, Rotterdam, The Netherlands.
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, The Netherlands.
| | - W J Visser
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands
- Department of Internal Medicine, Division of Dietetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - D Severs
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Room Rg-527, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands
| | - A M E de Mik-van Egmond
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, The Netherlands
| | - D A Hesselink
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Room Rg-527, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands
| | - B C M De Winter
- Erasmus MC Transplant Institute, Rotterdam, The Netherlands
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, MC, Rotterdam, The Netherlands
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, The Netherlands
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