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Özbalcı D, Erdoğan M, Alanoğlu EG, Şengül SS, Yüceer K, Eroğlu HN, Yağcı S. Adipose tissue indices predict prognosis in hodgkin lymphoma. Leuk Res 2024; 138:107457. [PMID: 38382169 DOI: 10.1016/j.leukres.2024.107457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 02/23/2024]
Abstract
INTRODUCTION BACKGROUND This study evaluated the impact of adipose tissue indices on prognosis of HL. METHODS Fifty-five patients with newly diagnosed Hodgkin Lymphoma were evaluated retrospectively for association with adipose tissue indices (total abdominal tissue volume, radiodensity, subcutaneous and visceral adipose tissue SUVmax value and prognostic factors for Hodgkin Lymphoma such as IPS-3, IPS-7, stage, sedimentation, progression free and overall survival. RESULTS For IPS-3, SAT SUVmax and TAAT radiodensity were significantly increased in high-risk patients (2and 3) compared to group 0 and 1. For IPS-7, total abdominal adipose volume was significantly decreased in high-risk patients, SAT SUVmax significantly increased in high-risk patients and decreased in low-risk patients. In addition, SAT SUVmax was significantly increased in patients with high sedimentation rate, with B symptoms and who passed away during follow-up. SAT SUVmax showed moderate positive correlation with sedimentation, IPS-3, IPS-7, and stage. In addition, it was observed that TAAT radiodensity and SAT SUVmax were significantly better for determining prognosis than other adipose tissue indices. Roc analysis showed that the diagnostic value of all adipose tissue indices in predicting IPS-3 and IPS-7 prognoses were statistically significant. CONCLUSION SAT SUVmax and TAAT radiodensity were two new and independent markers with diagnostic value in predicting prognosis.
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Affiliation(s)
- Demircan Özbalcı
- Suleyman Demirel University School of Medicine Department of Hematology.
| | - Mehmet Erdoğan
- Suleyman Demirel University School of Medicine Department of Nuclear Medicine
| | | | | | - Kamuran Yüceer
- Suleyman Demirel University School of Medicine Department of Internal Medicine
| | - Hande Nur Eroğlu
- Suleyman Demirel University School of Medicine Department of Public Health
| | - Samet Yağcı
- Suleyman Demirel University School of Medicine Department of Nuclear Medicine
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Tan X, Sun X, Chen Y, Wang F, Shang Y, Zhang Q, Yuan H, Jiang L. Implications of Sarcopenia and Glucometabolism Parameters of Muscle Derived From Baseline and End-of-Treatment 18F-FDG PET/CT in Diffuse Large B-Cell Lymphoma. Korean J Radiol 2024; 25:277-288. [PMID: 38413112 PMCID: PMC10912500 DOI: 10.3348/kjr.2023.0949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/08/2023] [Accepted: 11/30/2023] [Indexed: 02/29/2024] Open
Abstract
OBJECTIVE We previously found that the incidence of sarcopenia increased with declining glucose metabolism of muscle in patients with treatment-naïve diffuse large B-cell lymphoma (DLBCL). This study aimed to investigate the relationship between sarcopenia and muscle glucometabolism using 18F-FDG PET/CT at baseline and end-of-treatment, analyze the changes in these parameters through treatment, and assess their prognostic values. MATERIALS AND METHODS The records of 103 patients with DLBCL (median 54 years [range, 21-76]; male:female, 50:53) were retrospectively reviewed. Skeletal muscle area at the third lumbar vertebral (L3) level was measured, and skeletal muscle index (SMI) was calculated to determine sarcopenia, defined as SMI < 44.77 cm²/m² and < 32.50 cm²/m² for male and female, respectively. Glucometabolic parameters of the psoas major muscle, including maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean), were measured at L3 as well. Their changes across treatment were also calculated as ΔSMI, ΔSUVmax, and ΔSUVmean; Δbody mass index was also calculated. Associations between SMI and the metabolic parameters were analyzed, and their associations with progression-free survival (PFS) and overall survival (OS) were identified. RESULTS The incidence of sarcopenia was 29.1% and 36.9% before and after treatment, respectively. SMI (P = 0.004) was lower, and sarcopenia was more frequent (P = 0.011) at end-of-treatment than at baseline. The SUVmax and SUVmean of muscle were lower (P < 0.001) in sarcopenia than in non-sarcopenia at both baseline and end-of-treatment. ΔSMI was positively correlated with ΔSUVmax of muscle (P = 0.022). Multivariable Cox regression analysis showed that sarcopenia at end-of-treatment was independently negatively associated with PFS (adjusted hazard ratio [95% confidence interval], 2.469 [1.022-5.965]), while sarcopenia at baseline was independently negatively associated with OS (5.051 [1.453-17.562]). CONCLUSION Sarcopenic patients had lower muscle glucometabolism, and the muscular and metabolic changes across treatment were positively correlated. Sarcopenia at baseline and end-of-treatment was negatively associated with the prognosis of DLBCL.
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Affiliation(s)
- Xiaoyue Tan
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiaolin Sun
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yang Chen
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fanghu Wang
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuxiang Shang
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhang
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hui Yuan
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Lei Jiang
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, China.
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Greco F, Beomonte Zobel B, Mallio CA. Impact of Quantitative Computed Tomography-Based Analysis of Abdominal Adipose Tissue in Patients with Lymphoma. Hematol Rep 2023; 15:474-482. [PMID: 37606494 PMCID: PMC10443254 DOI: 10.3390/hematolrep15030049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/10/2023] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
Quantitative abdominal adipose tissue analysis is important for obtaining information about prognosis and clinical outcomes on a wide array of diseases. In recent years, the effects of abdominal adipose tissue compartments in patients with lymphoma and the changes in their distribution after therapies have been studied. This information could facilitate the improvement of therapies in patients with lymphoma, to prevent or treat both visceral obesity and sarcopenia. Opportunistic analysis of body composition on computed tomography (CT) images might contribute to the improvement of patient management and clinical outcomes together with implementation of targeted patient-tailored therapies. The purpose of this literature review is to describe the role of CT to evaluate abdominal adipose tissue quantity and distribution in patients with lymphoma.
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Affiliation(s)
- Federico Greco
- Department of Radiology, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 2, 73100 Lecce, Italy
| | - Bruno Beomonte Zobel
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
| | - Carlo Augusto Mallio
- Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy
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Li D, Tan X, Yuan H, Yao X, Sun X, He L, Jiang L. Usefulness of 18 F-FDG PET/computed tomography metabolic parameters in predicting sarcopenia and prognosis of treatment-naive patients with non-small cell lung cancer. Nucl Med Commun 2023; 44:309-17. [PMID: 36756769 DOI: 10.1097/MNM.0000000000001669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
PURPOSE Sarcopenia tremendously impacts the quality of life but remains debatable in prognostication in treatment-naive patients with non-small cell lung cancer (NSCLC). Hence, this study aimed to find a clinically feasible approach using 18 F-FDG PET/computed tomography (CT) imaging parameters and clinical characteristics to predict sarcopenia and determine independent prognostic factors. METHODS Clinical characteristics and 18 F-FDG PET/CT metabolic parameters, including maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of primary tumor (SUVmax_P, MTV_P, and TLG_P) and combination of whole-body lesions (MTV_C and TLG_C) were collected in 344 treatment-naive patients with NSCLC. Skeletal muscle index at the third lumbar vertebra was calculated to determine sarcopenia. SUVmax of the psoas major muscle (SUVmax_M) was measured at the third lumbar vertebra as well. The diagnostic endpoint is the probability of sarcopenia, and the survival endpoints include progression-free survival (PFS) and overall survival (OS). RESULTS Among 344 patients with NSCLC there were 271 patients with adenocarcinoma and 73 with squamous cell carcinoma (SCC). One hundred forty-seven patients (42.7%) were diagnosed with sarcopenia. Higher age, male, lower BMI, SCC, and lower SUVmax_M were correlated with a higher incidence of sarcopenia ( P < 0.05), while age, sex and SUVmax_M were independently predictive of sarcopenia. Multivariate Cox-regression analysis revealed that BMI, advanced stage and TLG_C were independent predictors of PFS and OS, while sex was independently predictive of OS. CONCLUSIONS The incidence of sarcopenia increased with declining SUVmax of muscle. BMI, tumor stage, and TLG_C, but not sarcopenia, were found independently predictive of both PFS and OS.
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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Trestini I, Caldart A, Cintoni M, Sperduti I, Drudi A, Aluffi G, Fiorio E, Parolin V, Zambonin V, Zanelli S, Tregnago D, Avancini A, Pilotto S, Aprili I, Zandonà E, D'Onofrio M, Mele MC, Gasbarrini A, Scambia G, Tortora G, Milella M, Bria E, Carbognin L. Predictive and prognostic effect of computed tomography-derived body composition analysis during neoadjuvant chemotherapy for operable and locally advanced breast cancer. Nutrition 2023; 105:111858. [PMID: 36323147 DOI: 10.1016/j.nut.2022.111858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 09/09/2022] [Accepted: 09/22/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVES Excess adiposity is associated with several factors involved in carcinogenesis and breast cancer progression. Evidence supporting the role of body composition in breast cancer treatment is promising, but still scanty and mainly focused on adjuvant treatment. The aim of this study was to evaluate the changes in body composition during neoadjuvant chemotherapy and its association with pathologic complete response and survival outcome in patients treated for operable/locally advanced breast cancer. METHODS A retrospective review of patients with breast cancer treated with neoadjuvant chemotherapy was performed in the Oncology Section of the Department of Medicine, University of Verona between 2014 and 2019. Body composition was evaluated from clinically acquired computed tomography scans at diagnosis and after neoadjuvant chemotherapy. Descriptive statistic was adopted. The associations of body composition measures with pathologic complete response and disease-free survival were analyzed. Kaplan-Meier curves were compared with log-rank analysis. RESULTS Data from 93 patients were collected. After neoadjuvant chemotherapy, the adipose compound changed significantly across all body mass index categories. Body composition parameters had no significant effect on pathologic complete response. Survival analysis showed that a high gain of visceral adipose tissue during neoadjuvant chemotherapy was associated with shorter disease-free survival (hazard ratio, 10.2; P = 0.026). In particular, disease-free survival was significantly worse in patients who gained ≥10% of visceral adipose tissue compared with patients who gained <10% of visceral adipose tissue (5-y disease-free survival 71.4 versus 96.3, P = 0.009, respectively). CONCLUSIONS Our results indicated that neoadjuvant chemotherapy significantly affects body composition, which seems to have an effect on survival outcome of breast cancer, highlighting the relevance of the body composition assessment when estimating treatment outcomes.
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Katal S, Taubman K, Han J, Gholamrezanezhad A. Aging Muscles, Myositis, Pain, and Peripheral Neuropathies: PET Manifestations in the Elderly. PET Clin 2023; 18:149-160. [DOI: 10.1016/j.cpet.2022.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Yuan H, Tan X, Sun X, He L, Li D, Jiang L. Role of 18F-FDG PET/CT and sarcopenia in untreated non-small cell lung cancer with advanced stage. Jpn J Radiol 2022; 41:521-530. [PMID: 36480105 DOI: 10.1007/s11604-022-01369-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/29/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Sarcopenia is essential in managing advanced stage (III-IV) non-small cell lung cancer (NSCLC) but is laborious to diagnose using currently available method. This study aimed to establish a simple approach to predict sarcopenia using 18F-FDG PET/CT parameters and clinical characteristics and determine their roles in prognostication in advanced stage NSCLC. METHODS Untreated 202 NSCLC patients with stage III-IV were retrospectively reviewed. Sarcopenia was defined using the skeletal muscle index (SMI) measured at the third lumbar vertebra (L3). 18F-FDG PET/CT metabolic parameters of maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of the primary tumor (SUVmax_T, MTV_T, and TLG_T) and of whole-body lesions (MTV_WB and TLG_WB) were measured. Besides, SUVmax of the psoas major muscle (SUVmax_Muscle) was measured at the L3 level. The diagnostic endpoint was the probability of sarcopenia, and the survival endpoints included progression-free survival (PFS) and overall survival (OS). RESULTS Among the enrolled 202 patients, 82 (40.6%) were diagnosed with sarcopenia. Higher age, male, lower BMI, and lower SUVmax_Muscle were correlated with a higher incidence of sarcopenia (P < 0.05), while age, sex, BMI, and SUVmax_Muscle were independently predictive of sarcopenia, and thus were utilized to construct a nomogram model. Multivariate Cox regression analysis revealed that sarcopenia score derived from the nomogram model, sarcopenia, stage, and TLG_WB were independently predictive of both PFS and OS. CONCLUSION The incidence of sarcopenia increased with declining SUVmax_Muscle in advanced stage NSCLC. Our model using age, sex, BMI, and SUVmax_Muscle might be substituted for the complicated measurement of SMI. After adjustment by stage and TLG_WB, both sarcopenia score and sarcopenia were found to be independently predictive of PFS and OS.
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Albano D, Dondi F, Treglia G, Tucci A, Ravanelli M, Farina D, Bertagna F. Longitudinal Body Composition Changes Detected by [(18)F]FDG PET/CT during and after Chemotherapy and Their Prognostic Role in Elderly Hodgkin Lymphoma. Cancers (Basel) 2022; 14. [PMID: 36291931 DOI: 10.3390/cancers14205147] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/10/2022] [Accepted: 10/19/2022] [Indexed: 11/17/2022] Open
Abstract
The aim of this retrospective study was to investigate the longitudinal body changes in terms of muscle and adipose areas and their prognostic role in elderly (>65 years) patients affected by Hodgkin lymphoma (HL). Skeletal muscle area (SMA), skeletal muscle index (SMI), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), and total dispose tissue (TAT) were measured using the computed tomography (CT) of fluorine-18-fluorodeoxyglucose positron emission tomography/CT ([18F]FDG PET/CT) in 88 patients who undertook baseline, interim (after two cycles of chemotherapy), and end-of-treatment (after 6 cycles of chemotherapy) PET/CT scans. Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were measured at pre-treatment PET/CT. Metabolic response applying Deauville score was evaluated at interim and end-of-treatment PET/CT. Survival curves, such as progression free survival (PFS) and overall survival (OS), were calculated for the whole population. Fifty-eight (66%) patients had sarcopenia at baseline and sarcopenia rate increased at interim scan with 68 (77%) cases and at end-of-treatment scan with 73 (83%) cases. Muscular areas (SMA and SMI) declined significantly during the treatment (p < 0.001), decreasing from baseline by 5% and 7% at interim and end-of-treatment evaluation, respectively. Instead, VAT, SAT, IMAT, and TAT increased significantly over this time (p < 0.001). Sarcopenia was significantly related with comprehensive geriatric assessment. PET/CT response at interim and end-of-treatment, MTV, TLG, and baseline sarcopenia were independent prognostic factors for PFS. Instead, metabolic response at interim and end-of-treatment PET, baseline sarcopenia, ΔSMI at interim, and ΔSMI at end-of-treatment for OS were independent prognostic factors.
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Tan X, Yuan H, Li D, Sun X, Ding C, Jiang L. Clinical and prognostic role of 2-[ 18F]FDG PET/CT and sarcopenia in treatment-naïve patients with T-cell lymphoblastic lymphoma. Ann Hematol 2022. [PMID: 36123452 DOI: 10.1007/s00277-022-04988-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/15/2022] [Indexed: 11/01/2022]
Abstract
T-cell lymphoblastic lymphoma (T-LBL) is a rare and highly aggressive non-Hodgkin lymphoma. This study aimed to explore the role of 2-[18F]FDG PET/CT, sarcopenia, clinical features, and treatment regimens in 49 treatment-naïve patients with T-LBL, and assess their predictive value in the prognosis. Sarcopenia was measured as skeletal muscle index (SMI) at L3 level from the CT component of PET/CT images. All 49 patients (35 males, 14 females; median age, 26 years [range, 3-66 years]) were enrolled in this study, including 36 adult patients and 13 pediatric patients. Lymph nodes, thymus, bone marrow, and pleura were the most common involved sites of T-LBL. The median SUVmax, MTV, and TLG of all lesions in these 49 patients were 12.4 (range, 4.2-40.5), 532.6 (17.4-3518.1), and 2112.2 (53.9-18,699.2), respectively. Eighteen out of 49 patients (36.7%) were diagnosed with sarcopenia. Sarcopenia patients had lower BMI and SUVmax of muscle at L3 level than non-sarcopenia patients (P < 0.05). Univariate Cox regression analysis indicated that higher MTV and TLG and intrathecal therapy (IT) were associated with longer progression-free survival (PFS) and overall survival (OS), while multivariate Cox regression analysis showed that TLG and IT were independent predictors for PFS, and only IT was an independent predictor for OS. In conclusion, low BMI and SUVmax of muscle at L3 level correlated with sarcopenia in T-LBL patients. Higher initial MTV and TLG and receiving IT were associated with better prognosis in T-LBL patients. TLG and IT, but not sarcopenia, were independent prognostic factors.
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Albano D, Dondi F, Ravanelli M, Tucci A, Farina D, Giubbini R, Treglia G, Bertagna F. Prognostic Role of "Radiological" Sarcopenia in Lymphoma: A Systematic Review. Clin Lymphoma Myeloma Leuk 2022; 22:e340-9. [PMID: 34893457 DOI: 10.1016/j.clml.2021.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/29/2021] [Accepted: 11/06/2021] [Indexed: 01/06/2023]
Abstract
Sarcopenia is considered to be a poor prognostic factor for several oncological diseases; however, some promising results for lymphoma are now available. The definition of sarcopenia is mainly based upon muscle strength, quantity or quality and physical performance, but some imaging tools (such as CT) have been introduced to estimate quantitatively the muscle areas as an indirect expression of sarcopenia. Our aim was to perform a systematic review on the prognostic role of "radiological" sarcopenia in lymphoma. A comprehensive online search of PubMed/MEDLINE, Embase and Cochrane library databases was conducted up to June 2021 to find relevant articles on the prognostic role of sarcopenia in lymphoma measured by CT. In total, 25 articles with a total of 4454 patients were included. Diffuse large B-cell lymphoma was the most common lymphoma variant studied, followed by Hodgkin lymphoma. Skeletal muscle area (SMA) was defined as the parameter to distinguish between sarcopenic and nonsarcopenic lymphoma on CT scans and was usually measured at the level of the third lumbar vertebra. In the literature, different thresholds are used to define sarcopenia, related to the features of patients included in the studies. Despite this heterogeneity, in most cases, sarcopenia was demonstrated to be significantly correlated with OS and PFS. Sarcopenia measurement with CT (high dose or low dose) is a safe, accurate and precise method.
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Yu F, Fan Y, Sun H, Li T, Dong Y, Pan S. Intermuscular adipose tissue in Type 2 diabetes mellitus: Non-invasive quantitative imaging and clinical implications. Diabetes Res Clin Pract 2022; 187:109881. [PMID: 35483545 DOI: 10.1016/j.diabres.2022.109881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 04/07/2022] [Accepted: 04/20/2022] [Indexed: 12/25/2022]
Abstract
Intermuscular adipose tissue (IMAT) is an ectopic fat depot found beneath the fascia and within the muscles. IMAT modulates muscle insulin sensitivity and triggers local and systemic chronic low-grade inflammation by producing cytokines and chemokines, which underlie the pathogenesis of Type 2 diabetes mellitus (T2DM). Imaging techniques have been increasingly used to non-invasively quantify IMAT in patients with diabetes in research and healthcare settings. In this study, we systematically reviewed the cell of origin and definition of IMAT, and the use of quantitative and functional imaging technology pertinent to the etiology, risk factors, lifestyle modification, and therapeutic treatment of diabetes. The purpose of this article is to provide important insight into the current understanding of IMAT and future prospects of targeting IMAT for T2DM control.
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Affiliation(s)
- Fuyao Yu
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yiping Fan
- Department of Nuclear Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - He Sun
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tianming Li
- Department of Gastroenterology and Medical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yanbin Dong
- Georgia Prevention Institute, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Shinong Pan
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
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Albano D, Pasinetti N, Dondi F, Giubbini R, Tucci A, Bertagna F. Prognostic Role of Pre-Treatment Metabolic Parameters and Sarcopenia Derived by 2-[ 18F]-FDG PET/CT in Elderly Mantle Cell Lymphoma. J Clin Med 2022; 11:jcm11051210. [PMID: 35268301 PMCID: PMC8911178 DOI: 10.3390/jcm11051210] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 01/06/2023] Open
Abstract
The goal of this retrospective study was to analyze and compare the prognostic role of fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (2-[18F]-FDG PET/CT) features and sarcopenia, estimated by CT of PET in elderly (≥65 years) Mantle Cell Lymphoma (MCL). We recruited 53 patients, who underwent pre-treatment 2-[18F]-FDG PET/CT and end-of-treatment PET/CT, and the main semiquantitative parameters were calculated. Sarcopenia was measured as skeletal muscle index (SMI, cm2/m2) and derived by low-dose PET/CT images at the L3 level. Specific cut-offs for SMI were calculated by receiver operator curve and divided by gender. Metabolic response was evaluated at end-of-treatment PET/CT, applying the Deauville score. Progression Free Survival (PFS) and Overall Survival (OS) were calculated for the whole population and for different subgroups, defined as per different sarcopenia cut-off levels. The specific cut-offs to define sarcopenia were 53 cm2/m2 for male and 45.6 cm2/m2 for female. Thirty-two (60%) patients were defined as sarcopenic. The 3-year and 5-year PFS rates were 29% and 23%, while the 3-year and 5-year OS rates were 43% and 33%. Metabolic response, total metabolic tumor volume (tMTV), total lesion glycolysis (tTLG) and sarcopenia were independent prognostic factors for PFS. Considering OS, no variable was significantly associated. Combination between PET features and sarcopenia may help to predict PFS.
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Affiliation(s)
- Domenico Albano
- Nuclear Medicine, ASST Spedali Civili Brescia, 25128 Brescia, Italy; (F.D.); (F.B.)
- Nuclear Medicine Department, University of Brescia, 25121 Brescia, Italy;
- Correspondence:
| | - Nadia Pasinetti
- Radiation Oncology Department, ASST Valcamonica Esine and University of Brescia, 25128 Brescia, Italy;
| | - Francesco Dondi
- Nuclear Medicine, ASST Spedali Civili Brescia, 25128 Brescia, Italy; (F.D.); (F.B.)
- Nuclear Medicine Department, University of Brescia, 25121 Brescia, Italy;
| | - Raffaele Giubbini
- Nuclear Medicine Department, University of Brescia, 25121 Brescia, Italy;
| | - Alessandra Tucci
- Hematology, ASST Spedali Civili of Brescia, 25128 Brescia, Italy;
| | - Francesco Bertagna
- Nuclear Medicine, ASST Spedali Civili Brescia, 25128 Brescia, Italy; (F.D.); (F.B.)
- Nuclear Medicine Department, University of Brescia, 25121 Brescia, Italy;
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Bauckneht M, Lai R, D'Amico F, Miceli A, Donegani MI, Campi C, Schenone D, Raffa S, Chiola S, Lanfranchi F, Rebuzzi SE, Zanardi E, Cremante M, Marini C, Fornarini G, Morbelli S, Piana M, Sambuceti G. Opportunistic skeletal muscle metrics as prognostic tools in metastatic castration-resistant prostate cancer patients candidates to receive Radium-223. Ann Nucl Med 2022; 36:373-383. [PMID: 35044592 PMCID: PMC8938339 DOI: 10.1007/s12149-022-01716-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/07/2022] [Indexed: 12/11/2022]
Abstract
Objective Androgen deprivation therapy alters body composition promoting a significant loss in skeletal muscle (SM) mass through inflammation and oxidative damage. We verified whether SM anthropometric composition and metabolism are associated with unfavourable overall survival (OS) in a retrospective cohort of metastatic castration-resistant prostate cancer (mCRPC) patients submitted to 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) imaging before receiving Radium-223. Patients and methods Low-dose CT were opportunistically analysed using a cross-sectional approach to calculate SM and adipose tissue areas at the third lumbar vertebra level. Moreover, a 3D computational method was used to extract psoas muscles to evaluate their volume, Hounsfield Units (HU) and FDG retention estimated by the standardized uptake value (SUV). Baseline established clinical, lab and imaging prognosticators were also recorded. Results SM area predicted OS at univariate analysis. However, this capability was not additive to the power of mean HU and maximum SUV of psoas muscles volume. These factors were thus combined in the Attenuation Metabolic Index (AMI) whose power was tested in a novel uni- and multivariable model. While Prostate-Specific Antigen (PSA), Alkaline Phosphatase (ALP), Lactate Dehydrogenase and Hemoglobin, Metabolic Tumor Volume, Total Lesion Glycolysis and AMI were associated with long-term OS at the univariate analyses, only PSA, ALP and AMI resulted in independent prognosticator at the multivariate analysis. Conclusion The present data suggest that assessing individual 'patients' SM metrics through an opportunistic operator-independent computational analysis of FDG PET/CT imaging provides prognostic insights in mCRPC patients candidates to receive Radium-223. Graphical abstract ![]()
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Affiliation(s)
- Matteo Bauckneht
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy. .,Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
| | - Rita Lai
- Department of Mathematics (DIMA), University of Genoa, Genoa, Italy
| | - Francesca D'Amico
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Alberto Miceli
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | | | - Cristina Campi
- LISCOMP, Department of Mathematics (DIMA), University of Genoa, Genoa, Italy
| | - Daniela Schenone
- LISCOMP, Department of Mathematics (DIMA), University of Genoa, Genoa, Italy
| | - Stefano Raffa
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Silvia Chiola
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Sara Elena Rebuzzi
- Medical Oncology, Ospedale San Paolo, Savona, Italy.,Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genova, Genoa, Italy
| | - Elisa Zanardi
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Malvina Cremante
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cecilia Marini
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Bioimaging and Physiology (IBFM), CNR Institute of Molecular, Segrate, Milan, Italy
| | - Giuseppe Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Silvia Morbelli
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy.,Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Michele Piana
- LISCOMP, Department of Mathematics (DIMA), University of Genoa, Genoa, Italy.,CNR-SPIN Genoa, Genoa, Italy
| | - Gianmario Sambuceti
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy.,Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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