Literature DB >> 18458598

Determination of whole-body metabolic burden as a quantitative measure of disease activity in lymphoma: a novel approach with fluorodeoxyglucose-PET.

Arnold Berkowitz1, Sandip Basu, Shyam Srinivas, Shrinkanthan Sankaran, Stephen Schuster, Abass Alavi.   

Abstract

BACKGROUND AND OBJECTIVES: Currently, there is no definite consensus regarding the best index to assess disease activity with fluorodeoxyglucose-PET imaging. Maximum standardized uptake value (SUVmax) is most frequently used in day-to-day practice for this purpose. This approach very often reflects the metabolic activity of only a small sample of the total ongoing process in the entire body. Here we introduce a new concept called metabolic burden (MB) to measure disease activity in cancer patients.
MATERIALS AND METHODS: MB was calculated by measuring the volume (VCT) around a lesion that appeared on computed tomography (CT), the mean SUV that appeared on PET of the CT volume (SUVmean CT), and the recovery coefficient (RC) using the following formula: (Equation is included in full-text article.) If CT was unavailable, a region of interest (ROI) around the lesion was defined by a 40% SUVmax threshold and the volume and SUVmean were determined for that ROI. The whole-body metabolic burden (WBMB) was calculated as the sum of the individual MBs of all the lesions identified. We retrospectively reviewed 19 patients with non-Hodgkin's lymphoma who were treated with commercially available anti-CD20 radioimmunotherapy agents or conventional chemotherapy. All had a pretreatment and posttreatment fluorodeoxyglucose-PET and CT scan within 1-3 months of receiving systemic therapy. Either abnormal areas appearing on PET alone or corresponding lesions on CT were used to calculate the tumor volume (TV). Nodes of less than 2 cm occurring in clusters were grouped together into a single ROI. Thirty-eight regional collections in 14 patients were found in combined pretreatment and posttreatment studies and were assessed. The TVs varied in pretreatment size from 5.8 to 857 cm and posttreatment from 0 to 81 cm. Pretreatment WBMB varied from 27 to 10 218 cm and posttreatment from 0 to 279 cm. We then compared the standard indices of SUVmean and SUVmax with those of WBMB to determine which of the indices would have the best sensitivity as a predictor of therapeutic response.
RESULTS: Five of the 19 patients had a complete response. In 14 patients with partial response, the average change in WBMB was 80%, the TV decreased by 76%, the SUVmax decreased by 42%, and the SUVmean decreased by 38.5%.
CONCLUSION: The results of this analysis demonstrate that measurement of WBMB may prove to be superior to the existing methods in assessing and managing patients with non-Hodgkin's lymphoma. This index may be the best way to monitor the changes in WBMB as a patient is undergoing treatment.

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Year:  2008        PMID: 18458598     DOI: 10.1097/MNM.0b013e3282f813a4

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  26 in total

1.  Comment on: "FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging, version 1.0".

Authors:  Babak Saboury; Drew A Torigian; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-05-26       Impact factor: 9.236

2.  Prognostic value of ¹⁸F-DOPA PET/CT at the time of recurrence in patients affected by neuroblastoma.

Authors:  Arnoldo Piccardo; Matteo Puntoni; Egesta Lopci; Massimo Conte; Luca Foppiani; Stefania Sorrentino; Giovanni Morana; Mehrdad Naseri; Angelina Cistaro; Giampiero Villavecchia; Stefano Fanti; Alberto Garaventa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-22       Impact factor: 9.236

3.  Baseline total lesion glycolysis measured with (18)F-FDG PET/CT as a predictor of progression-free survival in diffuse large B-cell lymphoma: a pilot study.

Authors:  Shadi A Esfahani; Pedram Heidari; Elkan F Halpern; Ephraim P Hochberg; Edwin L Palmer; Umar Mahmood
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-04-09

4.  Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer.

Authors:  Shengri Liao; Bill C Penney; Kristen Wroblewski; Hao Zhang; Cassie A Simon; Rony Kampalath; Ming-Chi Shih; Naoko Shimada; Sheng Chen; Ravi Salgia; Daniel E Appelbaum; Kenji Suzuki; Chin-Tu Chen; Yonglin Pu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-09-23       Impact factor: 9.236

5.  FDG PET/CT methodology for evaluation of treatment response in lymphoma: from "graded visual analysis" and "semiquantitative SUVmax" to global disease burden assessment.

Authors:  Sandip Basu; Habib Zaidi; Ali Salavati; Søren Hess; Poul Flemming Høilund Carlsen; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-04       Impact factor: 9.236

6.  Pretreatment volumetric parameters of FDG-PET predict the survival after Yttrium-90 radio-embolization in metastatic liver disease.

Authors:  Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Thomas J Werner; Hongming Zhuang; Terence Gade; Abass Alavi; Stephen J Hunt
Journal:  Am J Nucl Med Mol Imaging       Date:  2019-10-15

7.  Correlation of metabolic tumor volume and 11C-choline uptake with the pathology of prostate cancer: evaluation by use of simultaneously recorded MR and PET images.

Authors:  Tomohiro Yoneyama; Ukihide Tateishi; Takashi Terauchi; Tomio Inoue
Journal:  Jpn J Radiol       Date:  2014-01-21       Impact factor: 2.374

8.  Correction for Partial Volume Effect Is a Must, Not a Luxury, to Fully Exploit the Potential of Quantitative PET Imaging in Clinical Oncology.

Authors:  Abass Alavi; Thomas J Werner; Poul Flemming Høilund-Carlsen; Habib Zaidi
Journal:  Mol Imaging Biol       Date:  2018-02       Impact factor: 3.488

9.  Pre-treatment partial-volume-corrected TLG is the best predictor of overall survival in patients with relapsing/refractory non-hodgkin lymphoma following radioimmunotherapy.

Authors:  Raheleh Taghvaei; Mahdi Zirakchian Zadeh; Reza Sirous; Sara Pourhassan Shamchi; William Y Raynor; Siavash Mehdizadeh Seraj; Mateen Moghbel; Shiyu Wang; Thomas J Werner; Hongming Zhuang; Abass Alavi
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-12-20

10.  Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients.

Authors:  Michel Meignan; Myriam Sasanelli; René Olivier Casasnovas; Stefano Luminari; Federica Fioroni; Chiara Coriani; Helene Masset; Emmanuel Itti; Paolo G Gobbi; Francesco Merli; Annibale Versari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-26       Impact factor: 9.236

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