Literature DB >> 33777807

Defining the Optimal Method for Measuring Metabolic Tumor Volume on Preoperative 18F-Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography as a Prognostic Predictor in Patients With Pancreatic Ductal Adenocarcinoma.

Yasuko Tatewaki1,2, Chiaki Maeda Terao1, Kyohei Ariake3, Ryoko Saito4, Tatsushi Mutoh1,2, Hideo Shimomura1,5, Fuyuhiko Motoi3,6, Masamichi Mizuma3, Hayato Odagiri7, Michiaki Unno3, Yasuyuki Taki1,8.   

Abstract

OBJECTIVES: Metabolic tumor volume (MTV) on 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is a promising prognostic predictor in pancreatic ductal adenocarcinoma (PDAC). However, the optimal segmentation method and threshold value to determine MTV for PDAC are still unclear. We explored the optimal method and threshold value for the prognostic value of MTV measured on pre-treatment 18F-FDG-PET/CT.
METHODS: Seventy-three patients with resected PDAC who underwent 18F FDG-PET/CT before surgical resection were enrolled. MTV values of the tumor were measured on FDG-PET/CT by the two fixed-threshold methods using threshold values as 2.0, 2.5, 3.0, and 3.5 for the absolute method and 35%, 40%, 42%, 45%, and 50% for the relative method. Receiver operating characteristic curve analysis for prediction of 1-year survival rates was conducted for determining the optimal threshold values, and we selected the optimal method and threshold value considering area under the curve. The prognostic values of each FDG-PET/CT parameter for disease-specific survival and recurrence-free survival were assessed with Kaplan-Meier method and Cox proportional hazard models.
RESULTS: In receiver operating characteristic curve analysis, MTV by the fixed-absolute threshold method based on a threshold value of 3.5 (MTV3.5) performed best in our study with area under the curve 0.724, sensitivity of 65%, and specificity of 75%. In univariate and multivariate analyses, MTV3.5 was significantly associated with disease-specific and recurrence-free survival.
CONCLUSIONS: MTV3.5 by absolute threshold on pre-treatment FDG-PET/CT was the best independent prognostic predictor in resectable PDAC compared with other absolute threshold values and relative threshold values.
Copyright © 2021 Tatewaki, Terao, Ariake, Saito, Mutoh, Shimomura, Motoi, Mizuma, Odagiri, Unno and Taki.

Entities:  

Keywords:  FDG PET = F-18 fluorodeoxyglucose positron emission tomography; PDAC=pancreatic ductal adenocarcinoma; metabolic tumor volume (MTV); prognosis; threshold

Year:  2021        PMID: 33777807      PMCID: PMC7994512          DOI: 10.3389/fonc.2021.646141

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  21 in total

Review 1.  Borderline resectable pancreatic cancer: definitions and management.

Authors:  Nicole E Lopez; Cristina Prendergast; Andrew M Lowy
Journal:  World J Gastroenterol       Date:  2014-08-21       Impact factor: 5.742

Review 2.  Locally advanced pancreatic cancer.

Authors:  Christopher G Willett; Brian G Czito; Johanna C Bendell; David P Ryan
Journal:  J Clin Oncol       Date:  2005-07-10       Impact factor: 44.544

3.  Prognostic Value of FDG PET/CT-Derived Parameters in Pancreatic Adenocarcinoma at Initial PET/CT Staging.

Authors:  Alin Chirindel; Krishna C Alluri; Muhammad A Chaudhry; Richard L Wahl; Timothy M Pawlik; Joseph M Herman; Rathan M Subramaniam
Journal:  AJR Am J Roentgenol       Date:  2015-05       Impact factor: 3.959

4.  Baseline metabolic tumor volume and total lesion glycolysis are associated with survival outcomes in patients with locally advanced pancreatic cancer receiving stereotactic body radiation therapy.

Authors:  Avani S Dholakia; Muhammad Chaudhry; Jeffrey P Leal; Daniel T Chang; Siva P Raman; Amy Hacker-Prietz; Zheng Su; Jonathan Pai; Katharine E Oteiza; Mary E Griffith; Richard L Wahl; Erik Tryggestad; Timothy Pawlik; Daniel A Laheru; Christopher L Wolfgang; Albert C Koong; Joseph M Herman
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-04-18       Impact factor: 7.038

5.  Quantitative PET/CT scanner performance characterization based upon the society of nuclear medicine and molecular imaging clinical trials network oncology clinical simulator phantom.

Authors:  John J Sunderland; Paul E Christian
Journal:  J Nucl Med       Date:  2014-12-18       Impact factor: 10.057

6.  Effects of image characteristics on performance of tumor delineation methods: a test-retest assessment.

Authors:  Patsuree Cheebsumon; Floris H P van Velden; Maqsood Yaqub; Virginie Frings; Adrianus J de Langen; Otto S Hoekstra; Adriaan A Lammertsma; Ronald Boellaard
Journal:  J Nucl Med       Date:  2011-08-17       Impact factor: 10.057

Review 7.  From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors.

Authors:  Richard L Wahl; Heather Jacene; Yvette Kasamon; Martin A Lodge
Journal:  J Nucl Med       Date:  2009-05       Impact factor: 10.057

8.  Prognostic value of volumetric parameters of (18)F-FDG PET in non-small-cell lung cancer: a meta-analysis.

Authors:  Hyung-Jun Im; Kyoungjune Pak; Gi Jeong Cheon; Keon Wook Kang; Seong-Jang Kim; In-Joo Kim; June-Key Chung; E Edmund Kim; Dong Soo Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-09-06       Impact factor: 9.236

9.  Metabolic tumor volume on interim PET is a better predictor of outcome in diffuse large B-cell lymphoma than semiquantitative methods.

Authors:  E Malek; A Sendilnathan; M Yellu; A Petersen; M Fernandez-Ulloa; J J Driscoll
Journal:  Blood Cancer J       Date:  2015-07-24       Impact factor: 11.037

Review 10.  Prognostic significance of volume-based PET parameters in cancer patients.

Authors:  Seung Hwan Moon; Seung Hyup Hyun; Joon Young Choi
Journal:  Korean J Radiol       Date:  2012-12-28       Impact factor: 3.500

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  1 in total

1.  Prognostic value of thoracic tumor staging and volume parameters in non-small cell lung cancer patients with synchronous solitary bone metastasis.

Authors:  Kan Deng; Shuping Li; Jian Zhang; Xiande Ye; Kai Yao; Ying Li; Jianru Xiao
Journal:  J Thorac Dis       Date:  2022-04       Impact factor: 3.005

  1 in total

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