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Vitiello GA, Jayaprakasam VS, Tang LH, Schattner MA, Janjigian YY, Ku GY, Maron SB, Schoder H, Larson SM, Gönen M, Datta J, Coit DG, Brennan MF, Strong VE. Patient metabolic profile defined by liver and muscle 18F-FDG PET avidity is independently associated with overall survival in gastric cancer. Gastric Cancer 2024; 27:548-557. [PMID: 38436762 DOI: 10.1007/s10120-024-01485-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 02/23/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND PET-CT-based patient metabolic profiling is a novel concept to incorporate patient-specific metabolism into gastric cancer care. METHODS Staging PET-CTs, demographics, and clinicopathologic variables of gastric cancer patients were obtained from a prospectively maintained institutional database. PET-CT avidity was measured in tumor, liver, spleen, four paired muscles, and two paired fat areas in each patient. The liver to rectus femoris (LRF) ratio was defined as the ratio of SUVmean of liver to the average SUVmean of the bilateral rectus femoris muscles. Kaplan-Meier and Cox-proportional hazards models were used to identify the impact of LRF ratio on OS. RESULTS Two hundred and one patients with distal gastroesophageal (48%) or gastric (52%) adenocarcinoma were included. Median age was 65 years, and 146 (73%) were male. On univariate analysis, rectus femoris PET-CT avidity and LRF ratio were significantly associated with overall survival (p < 0.05). LRF ratio was significantly higher in males, early-stage cancer, patients with an ECOG 0 or 1 performance status, patients with albumin > 3.5 mg/dL, and those with moderately differentiated tumor histology. In multivariable regression, gastric cancer stage, albumin, and LRF ratio were significant independent predictors of overall survival (LRF ratio HR = 0.73 (0.56-0.96); p = 0.024). Survival curves showed that the prognostic impact of LRF was associated with metastatic gastric cancer (p = 0.009). CONCLUSIONS Elevated LRF ratio, a patient-specific PET-CT-based metabolic parameter, was independently associated with an improvement in OS in patients with metastatic gastric cancer. With prospective validation, LRF ratio may be a useful, host-specific metabolic parameter for prognostication in gastric cancer.
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Affiliation(s)
- Gerardo A Vitiello
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Division of Surgical Oncology, Department of Surgery, Northwell Health, Bay Shore, NY, USA.
| | | | - Laura H Tang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark A Schattner
- Gastroenterology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Y Janjigian
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Geoffrey Y Ku
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steven B Maron
- Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heiko Schoder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steven M Larson
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mithat Gönen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jashodeep Datta
- Division of Surgical Oncology, Department of Surgery, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Daniel G Coit
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Murray F Brennan
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vivian E Strong
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Galvez T, Berkane I, Thézenas S, Eberlé MC, Flori N, Guillemard S, Ilonca AD, Santoro L, Kotzki PO, Senesse P, Deshayes E. Identification of 18F-FDG PET/CT Parameters Associated with Weight Loss in Patients with Esophageal Cancer. Nutrients 2023; 15:3042. [PMID: 37447367 DOI: 10.3390/nu15133042] [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: 05/08/2023] [Revised: 06/16/2023] [Accepted: 07/01/2023] [Indexed: 07/15/2023] Open
Abstract
18F-FDG PET-CT is routinely performed as part of the initial staging of numerous cancers. Other than having descriptive, predictive and prognostic values for tumors, 18F-FDG PET-CT provides full-body data, which could inform on concurrent pathophysiological processes such as malnutrition. To test this hypothesis, we measured the 18F-FDG uptake in several organs and evaluated their association with weight loss in patients at diagnosis of esophageal cancer. Forty-eight patients were included in this retrospective monocentric study. 18F-FDG uptake quantification was performed in the brain, the liver, the spleen, bone marrow, muscle and the esophageal tumor itself and was compared between patients with different amounts of weight loss. We found that Total Lesion Glycolysis (TLG) and peak Standardized Uptake Values (SUVpeak) measured in the brain correlated with the amount of weight loss: TLG was, on average, higher in patients who had lost more than 5% of their usual weight, whereas brain SUVpeak were, on average, lower in patients who had lost more than 10% of their weight. Higher TLG and lower brain SUVpeak were associated with worse OS in the univariate analysis. This study reports a new and significant association between 18F-FDG uptake in the brain and initial weight loss in patients with esophageal cancer.
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Affiliation(s)
- Thierry Galvez
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
- Department of Endocrinology, Diabetes and Nutrition, CHU de Montpellier, Université de Montpellier, 34295 Montpellier, France
| | - Ikrame Berkane
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Simon Thézenas
- Biometry Unit, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Marie-Claude Eberlé
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Nicolas Flori
- Department of Clinical Nutrition and Gastroenterology, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, 34298 Montpellier, France
| | - Sophie Guillemard
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Alina Diana Ilonca
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Lore Santoro
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
| | - Pierre-Olivier Kotzki
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, 34298 Montpellier, France
| | - Pierre Senesse
- Department of Clinical Nutrition and Gastroenterology, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, 34298 Montpellier, France
| | - Emmanuel Deshayes
- Department of Nuclear Medicine, Institut du Cancer de Montpellier, Université de Montpellier, 34298 Montpellier, Cedex 5, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, 34298 Montpellier, France
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Arslan E, Çermik TF. PET/CT Variants and Pitfalls in Liver, Biliary Tract, Gallbladder and Pancreas. Semin Nucl Med 2021; 51:502-518. [PMID: 34049687 DOI: 10.1053/j.semnuclmed.2021.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A wide variety of pathological anomalies may occur in the liver, biliary system, and pancreas. It is a necessity to use many different imaging techniques in order to distinguish such varied pathologies, especially those from malignant processes. Positron Emission Tomography/Computed Tomography (PET/CT) is an imaging method that has proven its diagnostic value in oncology and can be used for different clinical purposes. Fluoro-18 fluoro-2-deoxy-D-glucose has a wide range of uses as a dominant radiopharmaceutical in routine molecular imaging, however, molecular imaging has started to play a more important role in personalized cancer treatment in recent years with new Fluoro-18 and Gallium-68 labeled tracers. Although molecular imaging has a strong diagnostic effect, the surprises and pitfalls of molecular imaging can lead us to unexpected and misleading results. Prior to PET/CT analysis and reporting, information about possible technical and physiological pitfalls, normal histological features of tissues, inflammatory pathologies, specific clinical features of the case, treatment-related complications and past treatments should be evaluated in advance to avoid misinterpretation. In this review, the physiological and pathophysiological variants as well as pitfalls encountered in PET/CT imaging of the liver, biliary tract, gallbladder, and pancreas will be examined. Other benign and malignant pathologies that have been reported to date and that have led to incorrect evaluation will be listed. It is expected that the devices, software, and artificial intelligence applications that will be developed in the near future will enable much more effective and faster imaging that will reduce the potential causes of error. However, as a result of the dynamic and evolving structure of the information obtained by molecular imaging, the inclusion of the newly developed radiopharmaceuticals in routine practice will continue to carry new potentials as well as new troubles. Although molecular imaging will be the flagship of diagnostic oncology in the 21st century, the correct analysis and interpretation by the physician will continue to form the basis of achieving optimal performance.
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Affiliation(s)
- Esra Arslan
- Istanbul Training and Research Hospital, Clinic of Nuclear Medicine, University of Health and Sciences Turkey, Istanbul, Turkey.
| | - Tevfik Fikret Çermik
- Istanbul Training and Research Hospital, Clinic of Nuclear Medicine, University of Health and Sciences Turkey, Istanbul, Turkey
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