Literature DB >> 28473598

Test-Retest Variability in Lesion SUV and Lesion SUR in 18F-FDG PET: An Analysis of Data from Two Prospective Multicenter Trials.

Frank Hofheinz1, Ivayla Apostolova2, Liane Oehme3, Jörg Kotzerke3, Jörg van den Hoff4,3.   

Abstract

Quantitative assessment of radio- and chemotherapy response with 18F-FDG whole-body PET has attracted increasing interest in recent years. In most published work, SUV has been used for this purpose. In the context of therapy response assessment, the reliability of lesion SUVs, notably their test-retest stability, thus becomes crucial. However, a recent study demonstrated substantial test-retest variability (TRV) in SUVs. The purpose of the present study was to investigate whether the tumor-to-blood SUV ratio (SUR) can improve TRV in tracer uptake.
Methods: 73 patients with advanced non-small cell lung cancer from the prospective multicenter trials ACRIN 6678 (n = 34) and MK-0646-008 (n = 39) were included in this study. All patients underwent two 18F-FDG PET/CT investigations on two different days (time difference, 3.6 ± 2.1 d; range, 1-7 d) before therapy. For each patient, up to 7 tumor lesions were evaluated. For each lesion, SUVmax and SUVpeak were determined. Blood SUV was determined as the mean value of a 3-dimensional aortic region of interest that was delineated on the attenuation CT image and transferred to the PET image. SURs were computed as the ratio of tumor SUV to blood SUV and were uptake time-corrected to 75 min after injection. TRV was quantified as 1.96 multiplied by the root-mean-square deviation of the fractional paired differences in SUV and SUR. The combined effect of blood normalization and uptake time correction was inspected by considering RTRV (TRVSUR/TRVSUV), a ratio reflecting the reduction in the TRV in SUR relative to SUV. RTRV was correlated with the group-averaged-value difference (δ) in CFmean (δCFmean) of the quantity δCF = |CF - 1|, where CF is the numeric factor that converts individual ratios of paired SUVs into corresponding SURs. This correlation analysis was performed by successively increasing a threshold value δCFmin and computing δCFmean and RTRV for the remaining subgroup of patients/lesions with δCF ≥ δCFmin
Results: The group-averaged TRVSUV and TRVSUR were 32.1 and 29.0, respectively, which correspond to a reduction of variability in SUR by an RTRV factor of 0.9 in comparison to SUV. This rather marginal improvement can be understood to be a consequence of the atypically low intrasubject variability in blood SUV and uptake time and the accordingly small δCF values in the investigated prospective study groups. In fact, subgroup analysis with increasing δCFmin thresholds revealed a pronounced negative correlation (Spearman ρ = -0.99, P < 0.001) between RTRV and δCFmean, where RTRV ≈ 0.4 in the δCFmin = 20% subgroup, corresponding to a more than 2-fold reduction of TRVSUR compared with TRVSUV
Conclusion: Variability in blood SUV and uptake time has been identified as a causal factor in the TRV in lesion SUV. Therefore, TRV in lesion uptake measurements can be reduced by replacing SUV with SUR as the uptake measure. The improvement becomes substantial for the level of variability in blood SUV and uptake time typically observed in the clinical context.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  FDG; PET; SUR; SUV; test–retest

Mesh:

Substances:

Year:  2017        PMID: 28473598      PMCID: PMC5666644          DOI: 10.2967/jnumed.117.190736

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  27 in total

1.  Repeatability of Tumor SUV Quantification: The Role of Variable Blood SUV.

Authors:  Jörg van den Hoff; Frank Hofheinz
Journal:  J Nucl Med       Date:  2015-06-25       Impact factor: 10.057

2.  Prognostic Value of Tumor-to-Blood Standardized Uptake Ratio in Patients with Resectable Non-Small-Cell Lung Cancer.

Authors:  Seunghyeon Shin; Kyoungjune Pak; In Joo Kim; Bum Soo Kim; Seong Jang Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-11-07

Review 3.  Role of positron emission tomography in the early prediction of response to chemotherapy in patients with non--small-cell lung cancer.

Authors:  Evangelia Skoura; Ioannis E Datseris; Ioannis Platis; Georgios Oikonomopoulos; Konstantinos N Syrigos
Journal:  Clin Lung Cancer       Date:  2011-12-01       Impact factor: 4.785

4.  Automatic volume delineation in oncological PET. Evaluation of a dedicated software tool and comparison with manual delineation in clinical data sets.

Authors:  F Hofheinz; C Pötzsch; L Oehme; B Beuthien-Baumann; J Steinbach; J Kotzerke; J van den Hoff
Journal:  Nuklearmedizin       Date:  2011-10-26       Impact factor: 1.379

Review 5.  Molecular Imaging to Plan Radiotherapy and Evaluate Its Efficacy.

Authors:  Robert Jeraj; Tyler Bradshaw; Urban Simončič
Journal:  J Nucl Med       Date:  2015-09-17       Impact factor: 10.057

6.  Reference range for intrapatient variability in blood-pool and liver SUV for 18F-FDG PET.

Authors:  Raef R Boktor; Gregory Walker; Roderick Stacey; Samuel Gledhill; Alexander G Pitman
Journal:  J Nucl Med       Date:  2013-03-19       Impact factor: 10.057

7.  Correction of scan time dependence of standard uptake values in oncological PET.

Authors:  Jörg van den Hoff; Alexandr Lougovski; Georg Schramm; Jens Maus; Liane Oehme; Jan Petr; Bettina Beuthien-Baumann; Jörg Kotzerke; Frank Hofheinz
Journal:  EJNMMI Res       Date:  2014-04-03       Impact factor: 3.138

8.  The PET-derived tumor-to-blood standard uptake ratio (SUR) is superior to tumor SUV as a surrogate parameter of the metabolic rate of FDG.

Authors:  Jörg van den Hoff; Liane Oehme; Georg Schramm; Jens Maus; Alexandr Lougovski; Jan Petr; Bettina Beuthien-Baumann; Frank Hofheinz
Journal:  EJNMMI Res       Date:  2013-11-23       Impact factor: 3.138

9.  Comparative evaluation of SUV, tumor-to-blood standard uptake ratio (SUR), and dual time point measurements for assessment of the metabolic uptake rate in FDG PET.

Authors:  Frank Hofheinz; Jörg van den Hoff; Ingo G Steffen; Alexandr Lougovski; Kilian Ego; Holger Amthauer; Ivayla Apostolova
Journal:  EJNMMI Res       Date:  2016-06-22       Impact factor: 3.138

10.  An investigation of the relation between tumor-to-liver ratio (TLR) and tumor-to-blood standard uptake ratio (SUR) in oncological FDG PET.

Authors:  Frank Hofheinz; Rebecca Bütof; Ivayla Apostolova; Klaus Zöphel; Ingo G Steffen; Holger Amthauer; Jörg Kotzerke; Michael Baumann; Jörg van den Hoff
Journal:  EJNMMI Res       Date:  2016-03-02       Impact factor: 3.138

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  12 in total

1.  Confirmation of the prognostic value of pretherapeutic tumor SUR and MTV in patients with esophageal squamous cell carcinoma.

Authors:  Frank Hofheinz; Yimin Li; Ingo G Steffen; Qin Lin; Chen Lili; Wu Hua; Jörg van den Hoff; Sebastian Zschaeck
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-04-04       Impact factor: 9.236

2.  Quantification: there is more to worry about than good scanner hardware and reliable calibration.

Authors:  Jörg Kotzerke; Jörg van den Hoff
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11       Impact factor: 9.236

3.  [Principles of PET].

Authors:  B Beuthien-Baumann
Journal:  Radiologe       Date:  2018-05       Impact factor: 0.635

4.  Test-Retest Reproducibility of 18F-FDG PET/CT Uptake in Cancer Patients Within a Qualified and Calibrated Local Network.

Authors:  Brenda F Kurland; Lanell M Peterson; Andrew T Shields; Jean H Lee; Darrin W Byrd; Alena Novakova-Jiresova; Mark Muzi; Jennifer M Specht; David A Mankoff; Hannah M Linden; Paul E Kinahan
Journal:  J Nucl Med       Date:  2018-10-25       Impact factor: 10.057

5.  KRAS mutation effects on the 2-[18F]FDG PET uptake of colorectal adenocarcinoma metastases in the liver.

Authors:  M Popovic; O Talarico; J van den Hoff; H Kunin; Z Zhang; D Lafontaine; S Dogan; J Leung; E Kaye; C Czmielewski; M E Mayerhoefer; P Zanzonico; R Yaeger; H Schöder; J L Humm; S B Solomon; C T Sofocleous; A S Kirov
Journal:  EJNMMI Res       Date:  2020-11-23       Impact factor: 3.138

6.  First-in-human immunoPET imaging of HIV-1 infection using 89Zr-labeled VRC01 broadly neutralizing antibody.

Authors:  Denis R Beckford-Vera; Robert R Flavell; Youngho Seo; Enrique Martinez-Ortiz; Maya Aslam; Cassandra Thanh; Emily Fehrman; Marion Pardons; Shreya Kumar; Amelia N Deitchman; Vahid Ravanfar; Brailee Schulte; I-Wei Katherine Wu; Tony Pan; Jacqueline D Reeves; Christopher C Nixon; Nikita S Iyer; Leonel Torres; Sadie E Munter; Tony Hyunh; Christos J Petropoulos; Rebecca Hoh; Benjamin L Franc; Lucio Gama; Richard A Koup; John R Mascola; Nicolas Chomont; Steven G Deeks; Henry F VanBrocklin; Timothy J Henrich
Journal:  Nat Commun       Date:  2022-03-09       Impact factor: 17.694

Review 7.  A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.

Authors:  Jan Petr; Louise Hogeboom; Pavel Nikulin; Evita Wiegers; Gwen Schroyen; Jesper Kallehauge; Marek Chmelík; Patricia Clement; Ruben E Nechifor; Liviu-Andrei Fodor; Philip C De Witt Hamer; Frederik Barkhof; Cyril Pernet; Maarten Lequin; Sabine Deprez; Radim Jančálek; Henk J M M Mutsaerts; Francesca B Pizzini; Kyrre E Emblem; Vera C Keil
Journal:  MAGMA       Date:  2021-12-17       Impact factor: 2.310

8.  Prognostic value of SUR in patients with trimodality treatment of locally advanced esophageal carcinoma.

Authors:  Rebecca Bütof; Frank Hofheinz; Klaus Zöphel; Julia Schmollack; Christina Jentsch; Sebastian Zschaeck; Jörg Kotzerke; Jörg van den Hoff; Michael Baumann
Journal:  J Nucl Med       Date:  2018-08-30       Impact factor: 10.057

9.  Monitoring scanner calibration using the image-derived arterial blood SUV in whole-body FDG-PET.

Authors:  Jens Maus; Frank Hofheinz; Ivayla Apostolova; Michael C Kreissl; Jörg Kotzerke; Jörg van den Hoff
Journal:  EJNMMI Res       Date:  2018-05-15       Impact factor: 3.138

10.  A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET.

Authors:  Pavel Nikulin; Frank Hofheinz; Jens Maus; Yimin Li; Rebecca Bütof; Catharina Lange; Christian Furth; Sebastian Zschaeck; Michael C Kreissl; Jörg Kotzerke; Jörg van den Hoff
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-10-01       Impact factor: 9.236

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