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Erschienen in: Molecular Imaging and Biology 6/2019

08.03.2019 | Research Article

How Often Do We Fail to Classify the Treatment Response with [18F]FDG PET/CT Acquired on Different Scanners? Data from Clinical Oncological Practice Using an Automatic Tool for SUV Harmonization

verfasst von: Maria Vittoria Mattoli, Maria Lucia Calcagni, Silvia Taralli, Luca Indovina, Bruce S. Spottiswoode, Alessandro Giordano

Erschienen in: Molecular Imaging and Biology | Ausgabe 6/2019

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Abstract

Purpose

Tumor response evaluated by 2-deoxy-2-[18F]fluoro-d-glucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) with standardized uptake value (SUV) is questionable when pre- and post-treatment PET/CT are acquired on different scanners. The aims of our study, performed in oncological patients who underwent pre- and post-treatment [18F]FDG PET/CT on different scanners, were (1) to evaluate whether EQ·PET, a proprietary SUV inter-exams harmonization tool, modifies the EORTC tumor response classification and (2) to assess which classification (harmonized and non-harmonized) better predicts clinical outcome.

Procedures

We retrospectively identified 95 PET pairs (pre- and post-treatment) performed on different scanners (Biograph mCT, Siemens; GEMINI GXL, Philips) in 73 oncological patients (52F; 57.8 ± 16.3 years). An 8-mm Gaussian filter was applied for the Biograph protocol to meet the EANM/EARL harmonization standard; no filter was needed for GXL. SUVmax and SUVmaxEQ of the same target lesion in the pre- and post-treatment PET/CT were noted. For each PET pair, the metabolic response classification (responder/non-responder), derived from combining the EORTC response categories, was evaluated twice (with and without harmonization). In discordant cases, the association of each metabolic response classification with final clinical response assessment and survival data (2-year disease-free survival, DFS) was assessed.

Results

On Biograph, SUVmaxEQ of all target lesions was significantly lower (p = 0.001) than SUVmax (8.5 ± 6.8 vs 12.5 ± 9.6; − 38.6 %). A discordance between the two metabolic response classifications (harmonized and non-harmonized) was found in 19/95 (20 %) PET pairs. In this subgroup (n = 19; mean follow-up, 33.9 ± 9 months), responders according to harmonized classification (n = 9) had longer DFS (47.5 months, 88.9 %) than responders (n = 10) according to non-harmonized classification (26.3 months, 50.0 %; p = 0.01). Moreover, harmonized classification showed a better association with final clinical response assessment (17/19 PET pairs).

Conclusions

The harmonized metabolic response classification is more associated with the final clinical response assessment, and it is able to better predict the DFS than the non-harmonized classification. EQ·PET is a useful harmonization tool for evaluating metabolic tumor response using different PET/CT scanners, also in different departments or for multicenter studies.
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Literatur
1.
Zurück zum Zitat Young H, Baum R, Cremerius U et al (1999) Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer 35:1773–1782CrossRef Young H, Baum R, Cremerius U et al (1999) Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer 35:1773–1782CrossRef
2.
Zurück zum Zitat Wahl RL, Jacene H, Kasamon Y, Lodge MA (2009) From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 50(Suppl 1):122S–150SCrossRef Wahl RL, Jacene H, Kasamon Y, Lodge MA (2009) From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 50(Suppl 1):122S–150SCrossRef
3.
Zurück zum Zitat Turgeon GA, Iravani A, Akhurst T, Beaulieu A, Callahan JW, Bressel M, Cole AJ, Everitt S, Siva S, Hicks RJ, Ball DL, Mac Manus MP (2018) What FDG-PET response-assessment method best predicts survival after curative-intent chemoradiation in non-small cell lung cancer (NSCLC): EORTC, PERCIST, Peter Mac or Deauville criteria? J Nucl Med. https://doi.org/10.2967/jnumed.118.214148 Turgeon GA, Iravani A, Akhurst T, Beaulieu A, Callahan JW, Bressel M, Cole AJ, Everitt S, Siva S, Hicks RJ, Ball DL, Mac Manus MP (2018) What FDG-PET response-assessment method best predicts survival after curative-intent chemoradiation in non-small cell lung cancer (NSCLC): EORTC, PERCIST, Peter Mac or Deauville criteria? J Nucl Med. https://​doi.​org/​10.​2967/​jnumed.​118.​214148
4.
Zurück zum Zitat Kim JH (2016) Comparison of the EORTC criteria and PERCIST in solid tumors: a pooled analysis and review. Oncotarget 7:58105–58110PubMedPubMedCentral Kim JH (2016) Comparison of the EORTC criteria and PERCIST in solid tumors: a pooled analysis and review. Oncotarget 7:58105–58110PubMedPubMedCentral
5.
Zurück zum Zitat Pinker K, Riedl C, Weber WA (2017) Evaluating tumor response with FDG PET: updates on PERCIST, comparison with EORTC criteria and clues to future developments. Eur J Nucl Med Mol Imaging 44(Suppl 1):55–66CrossRef Pinker K, Riedl C, Weber WA (2017) Evaluating tumor response with FDG PET: updates on PERCIST, comparison with EORTC criteria and clues to future developments. Eur J Nucl Med Mol Imaging 44(Suppl 1):55–66CrossRef
6.
Zurück zum Zitat Skougaard K, Nielsen D, Jensen BV, Hendel HW (2013) Comparison of EORTC criteria and PERCIST for PET/CT response evaluation of patients with metastatic colorectal cancer treated with irinotecan and cetuximab. J Nucl Med 54:1026–1031CrossRef Skougaard K, Nielsen D, Jensen BV, Hendel HW (2013) Comparison of EORTC criteria and PERCIST for PET/CT response evaluation of patients with metastatic colorectal cancer treated with irinotecan and cetuximab. J Nucl Med 54:1026–1031CrossRef
7.
Zurück zum Zitat Lasnon C, Quak E, Le Roux PY et al (2017) EORTC PET response criteria are more influenced by reconstruction inconsistencies than PERCIST but both benefit from the EARL harmonization program. EJNMMI Phys 4:17CrossRef Lasnon C, Quak E, Le Roux PY et al (2017) EORTC PET response criteria are more influenced by reconstruction inconsistencies than PERCIST but both benefit from the EARL harmonization program. EJNMMI Phys 4:17CrossRef
8.
Zurück zum Zitat Quak E, Le Roux PY, Lasnon C et al (2016) Does PET SUV harmonization affect PERCIST response classification? J Nucl Med 57:1699–1706CrossRef Quak E, Le Roux PY, Lasnon C et al (2016) Does PET SUV harmonization affect PERCIST response classification? J Nucl Med 57:1699–1706CrossRef
9.
Zurück zum Zitat Enilorac B, Lasnon C, Nganoa C et al (2018) Does PET reconstruction method affect Deauville scoring in lymphoma patients? J Nucl Med 59:1167–1169CrossRef Enilorac B, Lasnon C, Nganoa C et al (2018) Does PET reconstruction method affect Deauville scoring in lymphoma patients? J Nucl Med 59:1167–1169CrossRef
10.
Zurück zum Zitat Barrington SF, Sulkin T, Forbes A, Johnson PWM (2018) All that glitters is not gold - new reconstruction methods using Deauville criteria for patient reporting. Eur J Nucl Med Mol Imaging 45:316–317CrossRef Barrington SF, Sulkin T, Forbes A, Johnson PWM (2018) All that glitters is not gold - new reconstruction methods using Deauville criteria for patient reporting. Eur J Nucl Med Mol Imaging 45:316–317CrossRef
11.
Zurück zum Zitat Boellaard R (2009) Standards for PET image acquisition and quantitative data analysis. J Nucl Med 50(Suppl 1):11S–20SCrossRef Boellaard R (2009) Standards for PET image acquisition and quantitative data analysis. J Nucl Med 50(Suppl 1):11S–20SCrossRef
12.
Zurück zum Zitat Kelly MD, Declerck JM (2011) SUVref: reducing reconstruction-dependent variation in PET SUV. EJNMMI Res 1:16CrossRef Kelly MD, Declerck JM (2011) SUVref: reducing reconstruction-dependent variation in PET SUV. EJNMMI Res 1:16CrossRef
13.
Zurück zum Zitat Lasnon C, Desmonts C, Quak E, Gervais R, Do P, Dubos-Arvis C, Aide N (2013) Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients. Eur J Nucl Med Mol Imaging 40:985–996CrossRef Lasnon C, Desmonts C, Quak E, Gervais R, Do P, Dubos-Arvis C, Aide N (2013) Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients. Eur J Nucl Med Mol Imaging 40:985–996CrossRef
14.
Zurück zum Zitat Keyes JW Jr (1995) SUV: standard uptake or silly useless value? J Nucl Med 36:1836–1839PubMed Keyes JW Jr (1995) SUV: standard uptake or silly useless value? J Nucl Med 36:1836–1839PubMed
15.
Zurück zum Zitat Aide N, Lasnon C, Veit-Haibach P, Sera T, Sattler B, Boellaard R (2017) EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies. Eur J Nucl Med Mol Imaging 44(Suppl 1):17–31CrossRef Aide N, Lasnon C, Veit-Haibach P, Sera T, Sattler B, Boellaard R (2017) EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies. Eur J Nucl Med Mol Imaging 44(Suppl 1):17–31CrossRef
16.
Zurück zum Zitat Kaalep A, Sera T, Rijnsdorp S, Yaqub M, Talsma A, Lodge MA, Boellaard R (2018) Feasibility of state of the art PET/CT systems performance harmonisation. Eur J Nucl Med Mol Imaging 45:1344–1361CrossRef Kaalep A, Sera T, Rijnsdorp S, Yaqub M, Talsma A, Lodge MA, Boellaard R (2018) Feasibility of state of the art PET/CT systems performance harmonisation. Eur J Nucl Med Mol Imaging 45:1344–1361CrossRef
17.
Zurück zum Zitat Kaalep A, Sera T, Oyen W, Krause BJ, Chiti A, Liu Y, Boellaard R (2018) EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems. Eur J Nucl Med Mol Imaging 45:412–422CrossRef Kaalep A, Sera T, Oyen W, Krause BJ, Chiti A, Liu Y, Boellaard R (2018) EANM/EARL FDG-PET/CT accreditation - summary results from the first 200 accredited imaging systems. Eur J Nucl Med Mol Imaging 45:412–422CrossRef
18.
Zurück zum Zitat Ferretti A, Chondrogiannis S, Rampin L, Bellan E, Marzola MC, Grassetto G, Gusella S, Maffione AM, Gava M, Rubello D (2018) How to harmonize SUVs obtained by hybrid PET/CT scanners with and without point spread function correction. Phys Med Biol 63:235010CrossRef Ferretti A, Chondrogiannis S, Rampin L, Bellan E, Marzola MC, Grassetto G, Gusella S, Maffione AM, Gava M, Rubello D (2018) How to harmonize SUVs obtained by hybrid PET/CT scanners with and without point spread function correction. Phys Med Biol 63:235010CrossRef
19.
Zurück zum Zitat Rubello D, Colletti PM (2018) SUV harmonization between different hybrid PET/CT systems. Clin Nucl Med 43:811–814PubMed Rubello D, Colletti PM (2018) SUV harmonization between different hybrid PET/CT systems. Clin Nucl Med 43:811–814PubMed
20.
Zurück zum Zitat Boellaard R, O'Doherty MJ, Weber WA et al (2010) FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging 37:181–200CrossRef Boellaard R, O'Doherty MJ, Weber WA et al (2010) FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging 37:181–200CrossRef
21.
Zurück zum Zitat Lasnon C, Salomon T, Desmonts C, Dô P, Oulkhouir Y, Madelaine J, Aide N (2017) Generating harmonized SUV within the EANM EARL accreditation program: software approach versus EARL-compliant reconstruction. Ann Nucl Med 31:125–134CrossRef Lasnon C, Salomon T, Desmonts C, Dô P, Oulkhouir Y, Madelaine J, Aide N (2017) Generating harmonized SUV within the EANM EARL accreditation program: software approach versus EARL-compliant reconstruction. Ann Nucl Med 31:125–134CrossRef
22.
Zurück zum Zitat Quak E, Le Roux PY, Hofman MS et al (2015) Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients. Eur J Nucl Med Mol Imaging 42:2072–2082CrossRef Quak E, Le Roux PY, Hofman MS et al (2015) Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients. Eur J Nucl Med Mol Imaging 42:2072–2082CrossRef
23.
24.
Zurück zum Zitat Kelly M (2014) EQ•PET: achieving NEMA referenced SUV across technologies. White Paper. Siemens Healthcare Sector, Order No. A91MI-10410-1T-7600, Siemens AG Kelly M (2014) EQ•PET: achieving NEMA referenced SUV across technologies. White Paper. Siemens Healthcare Sector, Order No. A91MI-10410-1T-7600, Siemens AG
Metadaten
Titel
How Often Do We Fail to Classify the Treatment Response with [18F]FDG PET/CT Acquired on Different Scanners? Data from Clinical Oncological Practice Using an Automatic Tool for SUV Harmonization
verfasst von
Maria Vittoria Mattoli
Maria Lucia Calcagni
Silvia Taralli
Luca Indovina
Bruce S. Spottiswoode
Alessandro Giordano
Publikationsdatum
08.03.2019
Verlag
Springer International Publishing
Erschienen in
Molecular Imaging and Biology / Ausgabe 6/2019
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-019-01342-5

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