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Debs P, Al-Zaghal A, Solnes LB, Alavi A. Sarcopenia and Myositis Revisited. PET Clin 2023; 18:31-38. [DOI: 10.1016/j.cpet.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Karaman E, Hursoy N, Goksel S. The Effect of Sarcopenia and Metabolic PET-CT Parameters on Survival in Locally Advanced Non-Small Cell Lung Carcinoma. Nutr Cancer 2022; 75:286-295. [PMID: 35959787 DOI: 10.1080/01635581.2022.2110268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The treatment of stage III non-small cell lung cancer (NSCLC) is complex. Here, we aimed to examine the prognostic utility of sarcopenia and metabolic muscle volumes and evaluate their relationship with oncological treatments in patients with locally advanced NSCLC. Patients with unresectable stage III NSCLC were evaluated retrospectively. Muscle fields were measured, and metabolic parameters of the psoas were obtained. The skeletal muscle index (SMI), sarcopenia, sarcopenic obesity, and body mass index (BMI)-associated sarcopenia were evaluated. Fifty-three (94.6%) patients were men, and three (5.4%) were women. Sarcopenia was identified in 36 (64.3%) patients. Pretreatment sarcopenia and BMI-associated sarcopenia negatively affected overall survival (p = 0.040 and 0.023, respectively). A high psoas SUVmean (Standardized Uptake Value mean) and low mean psoas HU (Hounsfield unit) were poor prognostic factors (p = 0.009 and 0.014, respectively). SMI and muscle mass decreased after oncological treatment. Advanced age, inability to complete treatment, administration of chemoradiotherapy after chemotherapy, presence of sarcopenia, and a low mean psoas HU decreased survival. In conclusion, sarcopenia and BMI-associated sarcopenia are poor prognostic factors in patients with lung cancer. Oncological treatments can adversely affect muscle mass. The metabolic parameters of the psoas muscle can predict patient prognosis.
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Affiliation(s)
- Elanur Karaman
- Department of Medical Oncology, Recep Tayyip Erdogan University Education and Research Hospital, Rize, Turkey
| | - Nur Hursoy
- Department of Radiology, Recep Tayyip Erdogan University Education and Research Hospital, Rize, Turkey
| | - Sibel Goksel
- Department of Nuclear Medicine, Recep Tayyip Erdogan University Education and Research Hospital, Rize, Turkey
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Boutin RD, Houston DK, Chaudhari AS, Willis MH, Fausett CL, Lenchik L. Imaging of Sarcopenia. Radiol Clin North Am 2022; 60:575-582. [PMID: 35672090 DOI: 10.1016/j.rcl.2022.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Sarcopenia is currently underdiagnosed and undertreated, but this is expected to change because sarcopenia is now recognized with a specific diagnosis code that can be used for billing in some countries, as well as an expanding body of research on prevention, diagnosis, and management. This article focuses on practical issues of increasing interest by highlighting 3 hot topics fundamental to understanding sarcopenia in older adults: definitions and terminology, current diagnostic imaging techniques, and the emerging role of opportunistic computed tomography.
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Affiliation(s)
- Robert D Boutin
- Department of Radiology, Stanford University School of Medicine, 453 Quarry Road, MC 5659, Palo Alto, CA 94304-5659, USA.
| | - Denise K Houston
- Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Akshay S Chaudhari
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305-5372, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305-5372, USA
| | - Marc H Willis
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Room H1330A, Stanford, CA 94305-5642, USA
| | - Cameron L Fausett
- Department of Orthopaedic Surgery, Stanford University School of Medicine, 430 Broadway Street, Redwood City, CA 94063-6342, USA
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
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Kim K, Kim IJ, Pak K, Kang T, Seol YM, Choi YJ, Kim H. Prognostic value of metabolic activity of the psoas muscle evaluated by preoperative 18F-FDG PET-CT in breast cancer: a retrospective cross-sectional study. BMC Cancer 2021; 21:1151. [PMID: 34706697 PMCID: PMC8555075 DOI: 10.1186/s12885-021-08886-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/14/2021] [Indexed: 11/10/2022] Open
Abstract
Background This study aimed to evaluate the potential of metabolic activity of the psoas muscle measured by 18F-fluorodeoxyglucose positron emission tomography-computed tomography to predict treatment outcomes in patients with resectable breast cancer. Methods The medical records of 288 patients who had undergone surgical resection for stages I–III invasive ductal carcinoma of the breast between January 2014 and December 2014 in Pusan National University Hospital were reviewed. The standardized uptake values (SUVs) of the bilateral psoas muscle were normalized using the mean SUV of the liver. SUVRmax was calculated as the ratio of the maximum SUV of the average bilateral psoas muscle to the mean SUV of the liver. SUVRmean was calculated as the ratio of the mean SUV of the bilateral psoas muscle to the mean SUV of the liver. Results Univariate analyses identified a higher T stage, higher N stage, estrogen receptor negativity, progesterone receptor negativity, human epidermal growth factor receptor 2 positivity, triple-negative breast cancer, mastectomy (rather than breast-conserving surgery), SUVRmean > 0.464, and SUVRmax > 0.565 as significant adverse factors for disease-free survival (DFS). Multivariate Cox regression analysis revealed that N3 stage (hazard ratio [HR] = 5.347, P = 0.031) was an independent factor for recurrence. An SUVRmax > 0.565 (HR = 4.987, P = 0.050) seemed to have a correlation with shorter DFS. Conclusions A higher SUVRmax of the psoas muscle, which could be a surrogate marker of insulin resistance, showed strong potential as an independent prognostic factor for recurrence in patients with resectable breast cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08886-2.
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Affiliation(s)
- Keunyoung Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea
| | - In-Joo Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea
| | - Taewoo Kang
- Department of Surgery, Busan Cancer Center, Pusan National University Hospital and Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea
| | - Young Mi Seol
- Department of Hematology-Oncology, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, South Korea
| | - Young Jin Choi
- Department of Hematology-Oncology, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, South Korea
| | - Hyojeong Kim
- Department of Hematology-Oncology, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, South Korea.
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Myosteatosis reduces overall survival in patients with digestive system malignancies: a meta-analysis with trial sequential analysis. Nutr Res 2021; 94:25-33. [PMID: 34583210 DOI: 10.1016/j.nutres.2021.08.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/13/2021] [Accepted: 08/17/2021] [Indexed: 12/11/2022]
Abstract
The impact of myosteatosis on the outcomes of digestive malignancies has gained great attention recently. However, studies on the impact of myosteatosis show inconsistent results. We conducted a meta-analysis to clarify the relationship between myosteatosis and the overall survival of digestive cancer patients. The systematic literature search was conducted on PubMed/MEDLINE, Web of Science, and Embase from inception through March 27, 2021. Meta-analysis was performed using the random-effects model. Out of 3451 studies screened, 47 studies including 21,194 patients passed the screening criteria. The average prevalence of myosteatosis was 46.4%. Patients with myosteatosis had 44% increased mortality risk compared with non-myosteatosis patients (HR: 1.44, 95% CI: 1.33-1.55, P < .05). The predictive value of myosteatosis held regardless of country zone, study design, statistical model, Newcastle-Ottawa Scale (NOS) scores, treatment, sample size, and tumor stage. Nevertheless, the predictive value of myosteatosis was only evident for patients with esophagogastric cancers, cholangiocarcinoma/pancreatic cancers, or colorectal cancers. Overall, the results of this meta-analysis were robust based on sensitivity, subgroup, meta-regression, and trial sequential analyses and suggested that myosteatosis predicted worse overall survival (OS) in digestive malignancies patients.
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Anconina R, Ortega C, Metser U, Liu ZA, Suzuki C, McInnis M, Darling GE, Wong R, Taylor K, Yeung J, Chen EX, Swallow CJ, Bajwa J, Jang RW, Elimova E, Veit-Haibach P. Influence of sarcopenia, clinical data, and 2-[ 18F] FDG PET/CT in outcome prediction of patients with early-stage adenocarcinoma esophageal cancer. Eur J Nucl Med Mol Imaging 2021; 49:1012-1020. [PMID: 34491404 DOI: 10.1007/s00259-021-05514-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 07/28/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE To determine the prognostic value of sarcopenia measurements done on staging 2-[18F] FDG PET/CT together with metabolic activity of the tumor in patients with adenocarcinoma esophagogastric cancer with surgical treatment. METHODS Patients with early-stage, surgically treated esophageal adenocarcinoma and available pre-treatment 2-[18F] FDG PET/CT were included. The standard uptake value (SUV) and SUV normalized by lean body mass (SUL) were recorded. Skeletal muscle index (SMI) was measured at the L3 level on the CT component of the PET/CT. Sarcopenia was defined as SMI < 34.4cm2/m2 in women and < 45.4cm2/m2 in men. RESULTS Of the included 145 patients. 30% were sarcopenic at baseline. On the univariable Cox proportional hazards analysis, ECOG, surgical T and N staging, lymphovascular invasion (LVI) positive lymph nodes, and sarcopenia were significant prognostic factors concerning RFS and OS. On multivariable Cox regression analysis, surgical N staging (p = 0.025) and sarcopenia (p = 0.022) remained significant poor prognostic factors for OS and RFS. Combining the clinical parameters with the imaging-derived nutritional evaluation of the patient but not metabolic parameters of the tumor showed improved predictive ability for OS and RFS. CONCLUSION Combining the patients' imaging-derived sarcopenic status with standard clinical data, but not metabolic parameters, offered an overall improved prognostic value concerning OS and RFS.
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Affiliation(s)
- Reut Anconina
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
| | - Claudia Ortega
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Ur Metser
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Zhihui Amy Liu
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Chihiro Suzuki
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Micheal McInnis
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Gail E Darling
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Kirsty Taylor
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Jonathan Yeung
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Eric X Chen
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Carol J Swallow
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and Sinai Health System, University of Toronto, Toronto, Canada
| | | | - Raymond W Jang
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Elena Elimova
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
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diFlorio-Alexander RM, Song Q, Dwan D, Austin-Strohbehn JA, Muller KE, Kinlaw WB, MacKenzie TA, Karagas MR, Hassanpour S. Fat-enlarged axillary lymph nodes are associated with node-positive breast cancer in obese patients. Breast Cancer Res Treat 2021; 189:257-267. [PMID: 34081259 PMCID: PMC8302552 DOI: 10.1007/s10549-021-06262-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE Obesity associated fat infiltration of organ systems is accompanied by organ dysfunction and poor cancer outcomes. Obese women demonstrate variable degrees of fat infiltration of axillary lymph nodes (LNs), and they are at increased risk for node-positive breast cancer. However, the relationship between enlarged axillary nodes and axillary metastases has not been investigated. The purpose of this study is to evaluate the association between axillary metastases and fat-enlarged axillary nodes visualized on mammograms and breast MRI in obese women with a diagnosis of invasive breast cancer. METHODS This retrospective case-control study included 431 patients with histologically confirmed invasive breast cancer. The primary analysis of this study included 306 patients with pre-treatment and pre-operative breast MRI and body mass index (BMI) > 30 (201 node-positive cases and 105 randomly selected node-negative controls) diagnosed with invasive breast cancer between April 1, 2011, and March 1, 2020. The largest visible LN was measured in the axilla contralateral to the known breast cancer on breast MRI. Multivariate logistic regression models were used to assess the association between node-positive status and LN size adjusting for age, BMI, tumor size, tumor grade, tumor subtype, and lymphovascular invasion. RESULTS A strong likelihood of node-positive breast cancer was observed among obese women with fat-expanded lymph nodes (adjusted OR for the 4th vs. 1st quartile for contralateral LN size on MRI: 9.70; 95% CI 4.26, 23.50; p < 0.001). The receiver operating characteristic curve for size of fat-enlarged nodes in the contralateral axilla identified on breast MRI had an area under the curve of 0.72 for predicting axillary metastasis, and this increased to 0.77 when combined with patient and tumor characteristics. CONCLUSION Fat expansion of axillary lymph nodes was associated with a high likelihood of axillary metastases in obese women with invasive breast cancer independent of BMI and tumor characteristics.
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Affiliation(s)
| | - Qingyuan Song
- Department of Biomedical Data Science, Dartmouth College, 1 Medical Center Drive, HB 7261, Lebanon, NH, 03756, USA
| | - Dennis Dwan
- Department of Internal Medicine, Carney Hospital, 2100 Dorchester Ave, Dorchester, MA, 02124, USA
| | - Judith A Austin-Strohbehn
- Department of Radiology, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH, 03756, USA
| | - Kristen E Muller
- Department of Pathology, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH, 03756, USA
| | - William B Kinlaw
- Department of Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive, Lebanon, NH, 03756, USA
| | - Todd A MacKenzie
- Department of Biomedical Data Science, Dartmouth College, 1 Medical Center Drive, HB 7261, Lebanon, NH, 03756, USA
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth College, 1 Medical Center Drive, Lebanon, NH, 03756, USA
| | - Saeed Hassanpour
- Department of Biomedical Data Science, Dartmouth College, 1 Medical Center Drive, HB 7261, Lebanon, NH, 03756, USA.
- Department of Epidemiology, Dartmouth College, 1 Medical Center Drive, Lebanon, NH, 03756, USA.
- Department of Computer Science, Dartmouth College, Hanover, NH, 03755, USA.
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Zhou Y, Hao N, Duan Z, Kong M, Xu M, Zhang D, Xu X, Yuan Q, Li C. Assessment of Acute Pancreatitis Severity and Prognosis with CT-Measured Body Composition. Int J Gen Med 2021; 14:3971-3980. [PMID: 34349546 PMCID: PMC8326933 DOI: 10.2147/ijgm.s322589] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 07/19/2021] [Indexed: 01/11/2023] Open
Abstract
Objective The aim of this study was to investigate the possible association of muscle and adipose parameters with the severity and prognosis of patients hospitalized with acute pancreatitis (AP). Methods A total of 392 hospitalized patients and 309 controls were enrolled in the study analysis from April 1, 2016, to February 1, 2021. The computed tomography scans of each population were evaluated for muscle and adipose parameters. The effects of parameters on developing moderately severe acute pancreatitis (MSAP) or severe acute pancreatitis (SAP) were evaluated using univariate and multivariate logistic regression analyses. Associations with disease recurrence and death were analyzed through Cox regression analysis. Results The AP patients had higher levels of visceral adipose tissue (144.25 vs 97.81 cm2, p < 0.001) and subcutaneous adipose tissue (135 vs 120 cm2, p < 0.001) but lower levels of adipose tissue attenuation (visceral and subcutaneous) and skeletal muscle attenuation (SMA) than the controls (p < 0.05, respectively). Visceral adipose tissue (VAT) and SMA differed significantly with p-values of 0.014 and 0.003 in the different severity groups of AP. In multivariate analysis, VAT and SMA were associated with MSAP or SAP, with odds ratios of 1.003 and 0.973, respectively (95% CI 1.000-1.006, p = 0.041; 95% CI 0.953-0.993, p = 0.010). Cox regression analysis showed that low SMA was strongly associated with an increased mortality in MSAP and SAP patients (HR 10.500, 95% CI 1.344-82.025, p = 0.025). Regression analysis also showed an association of VAT loss of more than 17% with reduced 1-year recurrence of acute pancreatitis (HR 0.427, 95% CI 0.189-0.967, p = 0.041). Conclusion VAT and SMA were influential factors for the severity and prognosis of patients with AP. Patients should proper diet and exercise after discharge to reduce VAT and strengthen muscle function to improve prognosis.
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Affiliation(s)
- Ying Zhou
- Postgraduate Training Base of Jinzhou Medical University, Jinzhou, People's Republic of China.,Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
| | - Ningbo Hao
- Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
| | - Zhongping Duan
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, You'an Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China
| | - Ming Kong
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, You'an Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China
| | - Manman Xu
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, You'an Hospital Affiliated to Capital Medical University, Beijing, People's Republic of China
| | - Dan Zhang
- Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
| | - Xiangxiang Xu
- Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
| | - Qingwen Yuan
- Postgraduate Training Base of Jinzhou Medical University, Jinzhou, People's Republic of China.,Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
| | - Changzheng Li
- Department of Gastroenterology and Hepatology, The PLA Rocket Force Characteristic Medical Center, Beijing, People's Republic of China
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Marrow uptake on FDG PET/CT is associated with progression from smoldering to symptomatic multiple myeloma. Skeletal Radiol 2021; 50:79-85. [PMID: 32621061 DOI: 10.1007/s00256-020-03529-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/16/2020] [Accepted: 06/21/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine association of body composition measurements on CT and PET with progression of smoldering myeloma to multiple myeloma. METHODS A retrospective cohort study in 65 patients with smoldering myeloma and PET/CT at diagnosis was performed at a tertiary cancer center. Subjects were between 38 and 87 years of age (mean 64) and included 37 males. Primary outcome was progression-free survival as a function of bone, fat, and muscle metrics on CT and PET (measured at the level of L4 pedicles) and clinical confounders. CT metrics included attenuation of L4 and retroperitoneal fat and various indices derived from the psoas muscle. PET measures included SUVmax and SUVmean of L4, retroperitoneal fat, and psoas. Cox proportional hazards modeling was performed with entry and retention criteria of p < 0.1 and p < 0.05, respectively. RESULTS SUVmax and SUVmean were associated for each compartment (R2 = 0.78-0.84), and SUVmean (SUV) was used for subsequent analyses. SUV of the L4 vertebral body was associated with attenuation of the L4 vertebral body (p = 0.0032). There was no association between SUV and CT for muscle and fat compartments. In the subset of patients with bone marrow biopsy results (n = 43), there was no association between SUV of L4 and plasma cell concentration on core biopsy or flow cytometry (p = 0.089 and 0.072, respectively). The final Cox model showed association with albumin (HR 0.29, 95%CI 0.088-0.93, p = 0.038), M protein (HR 1.31, 95%CI 1.021-1.68, p = 0.034), and SUV of L4 (HR 1.99, 95%CI 1.037-3.82, p = 0.039). CONCLUSION SUV of L4 is a prognostic indicator in patients with smoldering myeloma.
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Chaudhari AJ, Raynor WY, Gholamrezanezhad A, Werner TJ, Rajapakse CS, Alavi A. Total-Body PET Imaging of Musculoskeletal Disorders. PET Clin 2021; 16:99-117. [PMID: 33218607 PMCID: PMC7684980 DOI: 10.1016/j.cpet.2020.09.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Imaging of musculoskeletal disorders, including arthritis, infection, osteoporosis, sarcopenia, and malignancies, is often limited when using conventional modalities such as radiography, computed tomography (CT), and MR imaging. As a result of recent advances in Positron Emission Tomography (PET) instrumentation, total-body PET/CT offers a longer axial field-of-view, higher geometric sensitivity, and higher spatial resolution compared with standard PET systems. This article discusses the potential applications of total-body PET/CT imaging in the assessment of musculoskeletal disorders.
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Affiliation(s)
- Abhijit J Chaudhari
- Department of Radiology, University of California Davis, 4860 Y Street, Sacramento, CA 95825, USA.
| | - William Y Raynor
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Drexel University College of Medicine, 2900 West Queen Lane, Philadelphia, PA 19129, USA
| | - Ali Gholamrezanezhad
- Keck School of Medicine, University of Southern California, 1520 San Pablo Street, Los Angeles, CA 90033, USA
| | - Thomas J Werner
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
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Umit EG, Korkmaz U, Baysal M, Karaman Gulsaran S, Bas V, Demirci U, Onur Kirkizlar H, Durmus Altun G, Muzaffer Demir A. Evaluation of Sarcopenia with F-18 FDG PET/CT and relation with disease outcomes in patients with multiple myeloma. Eur J Cancer Care (Engl) 2020; 29:e13318. [PMID: 32888349 DOI: 10.1111/ecc.13318] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 05/06/2020] [Accepted: 08/07/2020] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Multiple myeloma (MM) is a potentially incurable haematological malignancy with devastating manifestations including lytic bone lesions leading to fractures and renal insufficiency. As a disease of patients with a mean age of 66 years, both the disease and the continuous efforts of treatments lead to frailty and devastation. From this stand point, we aimed to evaluate the development of muscle loss in MM patients and also with a new method of sarcopenia evaluation, F-18 FDG PET/CT. While used for bone disease routinely, this method brings a fresh perspective of metabolic quantitation of alteration of muscles which may be regarded as muscle quality. MATERIALS AND METHODS Data and images of 105 patients with MM both before and after treatment were evaluated in a retrospective manner. RESULTS Both female and male patients were observed to be effected after MM treatment in terms of lumbar and femoral muscle evaluations with CT. Metabolic evaluations confirmed a loss of quality in muscles in terms of metabolic volume and total lesion glycolysis. CONCLUSION Sarcopenia should be evaluated in every patient and regarded as a treatment target. FDG PET/CT is an easy and handy tool to assess muscle mass and quality as well as MM disease status.
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Affiliation(s)
- Elif G Umit
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Ulku Korkmaz
- Department of Nuclear Medicine, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Mehmet Baysal
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | | | - Volkan Bas
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Ufuk Demirci
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Hakki Onur Kirkizlar
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Gulay Durmus Altun
- Department of Nuclear Medicine, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Ahmet Muzaffer Demir
- Department of Hematology, Faculty of Medicine, Trakya University, Edirne, Turkey
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