Literature DB >> 24310279

Metabolic activity measured on PET/CT correlates with clinical outcomes in patients with limb and girdle sarcomas.

Sonia R Skamene1, Rajan Rakheja, Kristina R Dahlstrom, Kristina R Dalhstrom, David Roberge, Ayoub Nahal, Mathieu Charest, Robert Turcotte, Marc Hickeson, Carolyn Freeman.   

Abstract

OBJECTIVE: To explore the relationship between metabolic activity and outcome in patients with extremity sarcomas.
METHODS: Between June 2004 and December 2011, 120 patients with newly diagnosed limb and girdle sarcomas underwent FDG-PET/CT for disease staging prior to curative intent treatment. The maximum standardized uptake value (SUV(max)) was measured for each primary tumor and correlated with outcome. Progression-free survival and overall survival (OS) were analyzed using the Kaplan-Meier method.
RESULTS: Soft-tissue sarcomas were more frequent (68%) than bone (27%) or cartilage (5%) tumors. Median follow-up was 33.2 months. 51% of patients progressed during the follow-up interval and 38% died. SUV(max) was dichotomized with a cut-point of 10.3. Patients with SUV(max) < 10.3 had better DFS and OS compared with patients with SUV(max) ≥ 10.3 (P < 0.001 and P < 0.001, respectively [log-rank test]). Multivariate analysis confirmed that even after adjusting for age, sex, site, tumor type (bone vs. soft-tissue), grade, and stage; an SUV(max) ≥ 10.3 correlated with a twofold risk of progression and 2.4 times greater risk of death (hazard ratio [HR] 2.0, 95% CI, 1.1-3.7, and HR, 2.4, 95% CI, 1.1-4.9).
CONCLUSION: SUV(max) is an independent adverse prognostic factor for both progression and OS in patients with extremity sarcomas.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  FDG-PET; SUVmax; prognosis; sarcoma

Mesh:

Substances:

Year:  2013        PMID: 24310279     DOI: 10.1002/jso.23523

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  10 in total

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2.  Semi-Quantitative Calculations of Primary Tumor Metabolic Activity Using F-18 FDG PET/CT as a Predictor of Survival in 92 Patients With High-Grade Bone or Soft Tissue Sarcoma.

Authors:  Kim Francis Andersen; Hanna Maria Fuglo; Sine Hvid Rasmussen; Michael Mork Petersen; Annika Loft
Journal:  Medicine (Baltimore)       Date:  2015-07       Impact factor: 1.889

3.  Prognostic value of 18F-FDG PET-CT-based functional parameters in patients with soft tissue sarcoma: A meta-analysis.

Authors:  Linyan Chen; Xin Wu; Xuelei Ma; Linghong Guo; Chenjing Zhu; Qingfang Li
Journal:  Medicine (Baltimore)       Date:  2017-02       Impact factor: 1.889

4.  Retrospective audit of 957 consecutive 18F-FDG PET-CT scans compared to CT and MRI in 493 patients with different histological subtypes of bone and soft tissue sarcoma.

Authors:  Ruth E Macpherson; Sarah Pratap; Helen Tyrrell; Mehrdad Khonsari; Shaun Wilson; Max Gibbons; Duncan Whitwell; Henk Giele; Paul Critchley; Lucy Cogswell; Sally Trent; Nick Athanasou; Kevin M Bradley; A Bassim Hassan
Journal:  Clin Sarcoma Res       Date:  2018-04-09

5.  MRI Radiomic Features Are Independently Associated With Overall Survival in Soft Tissue Sarcoma.

Authors:  Matthew B Spraker; Landon S Wootton; Daniel S Hippe; Kevin C Ball; Jan C Peeken; Meghan W Macomber; Tobias R Chapman; Michael N Hoff; Edward Y Kim; Seth M Pollack; Stephanie E Combs; Matthew J Nyflot
Journal:  Adv Radiat Oncol       Date:  2019-02-23

6.  Maximum standardized uptake value on 18F-fluorodeoxyglucose positron emission tomography/computed tomography improves outcome prediction in retroperitoneal liposarcoma.

Authors:  Jinsoo Rhu; Seung Hyup Hyun; Kyung-Han Lee; Sung Jun Jo; Kyo Won Lee; Jae Berm Park; Sung Joo Kim
Journal:  Sci Rep       Date:  2019-04-29       Impact factor: 4.379

7.  Metastasis risk prediction model in osteosarcoma using metabolic imaging phenotypes: A multivariable radiomics model.

Authors:  Heesoon Sheen; Wook Kim; Byung Hyun Byun; Chang-Bae Kong; Won Seok Song; Wan Hyeong Cho; Ilhan Lim; Sang Moo Lim; Sang-Keun Woo
Journal:  PLoS One       Date:  2019-11-25       Impact factor: 3.240

8.  Metabolic response as assessed by 18 F-fluorodeoxyglucose positron emission tomography-computed tomography does not predict outcome in patients with intermediate- or high-risk rhabdomyosarcoma: A report from the Children's Oncology Group Soft Tissue Sarcoma Committee.

Authors:  Douglas J Harrison; Yueh-Yun Chi; Jing Tian; Pooja Hingorani; Leo Mascarenhas; Geoffrey B McCowage; Brenda J Weigel; Rajkumar Venkatramani; Suzanne L Wolden; Torunn I Yock; David A Rodeberg; Andrea A Hayes-Jordan; Lisa A Teot; Sheri L Spunt; William H Meyer; Douglas S Hawkins; Barry L Shulkin; Marguerite T Parisi
Journal:  Cancer Med       Date:  2020-12-19       Impact factor: 4.452

9.  Investigating the role of functional imaging in the management of soft-tissue sarcomas of the extremities.

Authors:  Martin Vallières; Monica Serban; Ibtissam Benzyane; Zaki Ahmed; Shu Xing; Issam El Naqa; Ives R Levesque; Jan Seuntjens; Carolyn R Freeman
Journal:  Phys Imaging Radiat Oncol       Date:  2018-05-19

10.  Volume-Based F-18 FDG PET/CT Imaging Markers Provide Supplemental Prognostic Information to Histologic Grading in Patients With High-Grade Bone or Soft Tissue Sarcoma.

Authors:  Kim Francis Andersen; Hanna Maria Fuglo; Sine Hvid Rasmussen; Michael Mork Petersen; Annika Loft
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

  10 in total

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