Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
European Radiology
Published in: European Radiology 12/2014

01-12-2014 | Oncology

Amplitude-based optimal respiratory gating in positron emission tomography in patients with primary lung cancer

Authors: Willem Grootjans, Lioe-Fee de Geus-Oei, Antoi P. W. Meeuwis, Charlotte S. van der Vos, Martin Gotthardt, Wim J. G. Oyen, Eric P. Visser

Published in: European Radiology | Issue 12/2014

Login to get access

Abstract

Objectives

Respiratory motion during PET imaging introduces quantitative and diagnostic inaccuracies, which may result in non-optimal patient management. This study investigated the effects of respiratory gating on image quantification using an amplitude-based optimal respiratory gating (ORG) algorithm.

Methods

Whole body FDG-PET/CT was performed in 66 lung cancer patients. The respiratory signal was obtained using a pressure sensor integrated in an elastic belt placed around the patient’s thorax. ORG images were reconstructed with 50 %, 35 %, and 20 % of acquired PET data (duty cycle). Lesions were grouped into anatomical locations. Differences in lesion volume between ORG and non-gated images, and mean FDG-uptake (SUVmean) were calculated.

Results

Lesions in the middle and lower lobes demonstrated a significant SUVmean increase for all duty cycles and volume decrease for duty cycles of 35 % and 20 %. Significant increase in SUVmean and decrease in volume for lesions in the upper lobes were observed for a 20 % duty cycle. The SUVmean increase for central lesions was significant for all duty cycles, whereas a significant volume decrease was observed for a duty cycle of 20 %.

Conclusions

This study implies that ORG could influence clinical PET imaging with respect to response monitoring and radiotherapy planning.

Key Points

• Quantifying lesion volume and uptake in PET is important for patient management
• Respiratory motion artefacts introduce inaccuracies in quantification of PET images
• Amplitude-based optimal respiratory gating maintains image quality through selection of duty cycle
• The effect of respiratory gating on lesion quantification depends on anatomical location
Literature
1.
Bentzen SM, Gregoire V (2011) Molecular Imaging–Based Dose Painting: A Novel Paradigm for Radiation Therapy Prescription. Semin Radiat Oncol 2:101–110CrossRef
2.
Berghmans T, Dusart M, Paesmans M et al (2008) Primary Tumor Standardized Uptake Value (SUVmax) Measured on Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is of Prognostic Value for Survival in Non-small Cell Lung Cancer (NSCLC): A Systematic Review and Meta-Analysis (MA) by the European Lung Cancer Working Party for the IASLC Lung Cancer Staging Project. J Thorac Oncol 1:6–12CrossRef
3.
Bettinardi V, Picchio M, Di Muzio N, Gilardi MC (2012) Motion Management in Positron Emission Tomography/Computed Tomography for Radiation Treatment Planning. Semin Nucl Med 5:289–307CrossRef
4.
Bomanji JB, Costa DC, Ell PJ (2001) Clinical role of positron emission tomography in oncology. Lancet Oncol 3:157–164CrossRef
5.
Callahan J, Binns D, Dunn L, Kron T (2011) Motion effects on SUV and lesion volume in 3D and 4D PET scanning. Australas Phys Eng Sci Med 4:489–495CrossRef
6.
Carney JPJ, Townsend DW, Rappoport V, Bendriem B (2006) Method for transforming CT images for attenuation correction in PET/CT imaging. Med Phys 4:976–983CrossRef
7.
Chang G, Chang T, Pan T, Clark JW, Mawlawi OR (2010) Implementation of an Automated Respiratory Amplitude Gating Technique for PET/CT: Clinical Evaluation. J Nucl Med 1:16–24CrossRef
8.
Chen HHW, Chiu N-T, Su W-C, Guo H-R, Lee B-F (2012) Prognostic Value of Whole-Body Total Lesion Glycolysis at Pretreatment FDG PET/CT in Non–Small Cell Lung Cancer. Radiology 2:559–566CrossRef
9.
Dawood M, Buther F, Lang N, Schober O, Schafers KP (2007) Respiratory gating in positron emission tomography: A quantitative comparison of different gating schemes. Med Phys 7:3067–3076CrossRef
10.
de Geus-Oei L-F, van der Heijden HFM, Visser EP et al (2007) Chemotherapy Response Evaluation with 18 F-FDG PET in Patients with Non-Small Cell Lung Cancer. J Nucl Med 10:1592–1598
11.
de Geus-Oei LF, van Laarhoven HWM, Visser EP et al (2008) Chemotherapy response evaluation with FDG–PET in patients with colorectal cancer. Ann Oncol 2:348–352CrossRef
12.
Dose Schwarz J, Bader M, Jenicke L, Hemminger G, Jänicke F, Avril N (2005) Early Prediction of Response to Chemotherapy in Metastatic Breast Cancer Using Sequential 18 F-FDG PET. J Nucl Med 7:1144–1150
13.
Elmpt W, Hamill J, Jones J, Ruysscher D, Lambin P, Öllers M (2011) Optimal gating compared to 3D and 4D PET reconstruction for characterization of lung tumours. Eur J Nucl Med Mol Imaging 5:843–855CrossRef
14.
Erdi YE, Malawi O, Larson SM et al (1997) Segmentation of Lung Lesion Volume by Adaptive Positron Emission Tomography Image Thresholding. Cancer 12:2505–2509CrossRef
15.
Fletcher JW, Djulbegovic B, Soares HP et al (2008) Recommendations on the Use of 18 F-FDG PET in Oncology. J Nucl Med 3:480–508
16.
Goerres G, Kamel E, Heidelberg T-N, Schwitter M, Burger C, von Schulthess G (2002) PET-CT image co-registration in the thorax: influence of respiration. Eur J Nucl Med Mol Imaging 3:351–360CrossRef
17.
Hoekstra CJ, Stroobants SG, Smit EF et al (2005) Prognostic Relevance of Response Evaluation Using [18 F]-2-Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography in Patients With Locally Advanced Non–Small-Cell Lung Cancer. J Clin Oncol 33:8362–8370
18.
Jani SS, Robinson CG, Dahlbom M et al (2013) A Comparison of Amplitude-Based and Phase-Based Positron Emission Tomography Gating Algorithms for Segmentation of Internal Target Volumes of Tumors Subject to Respiratory Motion. Int J Radiat Oncol Biol Phys 3:562–569CrossRef
19.
Korreman SS (2012) Motion in radiotherapy: photon therapy. Phys Med Biol 23:R161–R191CrossRef
20.
Mac Manus MP, Hicks RJ, Matthews JP et al (2003) Positron Emission Tomography Is Superior to Computed Tomography Scanning for Response-Assessment After Radical Radiotherapy or Chemoradiotherapy in Patients With Non–Small-Cell Lung Cancer. J Clin Oncol 7:1285–1292CrossRef
21.
Mikhaeel NG, Hutchings M, Fields PA, O'Doherty MJ, Timothy AR (2005) FDG-PET after two to three cycles of chemotherapy predicts progression-free and overall survival in high-grade non-Hodgkin lymphoma. Ann Oncol 9:1514–1523CrossRef
22.
Nehmeh SA, Erdi YE (2008) Respiratory Motion in Positron Emission Tomography/Computed Tomography: A Review. Semin Nucl Med 3:167–176CrossRef
23.
Nehmeh SA, Erdi YE, Pan T et al (2004) Four-dimensional (4D) PET/CT imaging of the thorax. Med Phys 12:3179–3186CrossRef
24.
Nestle U, Kremp S, Grosu A-L (2006) Practical integration of [18 F]-FDG-PET and PET-CT in the planning of radiotherapy for non-small cell lung cancer (NSCLC): The technical basis, ICRU-target volumes, problems, perspectives. Radiother Oncol : J Eur Soc Ther Radiol Oncol 2:209–225
25.
Shankar LK, Hoffman JM, Bacharach S et al (2006) Consensus Recommendations for the Use of 18 F-FDG PET as an Indicator of Therapeutic Response in Patients in National Cancer Institute Trials. J Nucl Med 6:1059–1066
26.
Weber WA (2005) Use of PET for Monitoring Cancer Therapy and for Predicting Outcome. J Nucl Med 6:983–995
27.
Weber WA, Petersen V, Schmidt B et al (2003) Positron Emission Tomography in Non–Small-Cell Lung Cancer: Prediction of Response to Chemotherapy by Quantitative Assessment of Glucose Use. J Clin Oncol 14:2651–2657CrossRef
28.
Zaizen Y, Azuma K, Kurata S et al (2012) Prognostic significance of total lesion glycolysis in patients with advanced non-small cell lung cancer receiving chemotherapy. Eur J Radiol 12:4179–4184CrossRef
Metadata
Title
Amplitude-based optimal respiratory gating in positron emission tomography in patients with primary lung cancer
Authors
Willem Grootjans
Lioe-Fee de Geus-Oei
Antoi P. W. Meeuwis
Charlotte S. van der Vos
Martin Gotthardt
Wim J. G. Oyen
Eric P. Visser
Publication date
01-12-2014
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 12/2014
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-014-3362-z

Other articles of this Issue 12/2014

European Radiology 12/2014 Go to the issue

Computed Tomography

Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study

Chest

Comparison of high-resolution computed tomography findings between Pseudomonas aeruginosa pneumonia and Cytomegalovirus pneumonia

Head and Neck

The clinical utility of reduced-distortion readout-segmented echo-planar imaging in the head and neck region: initial experience

Magnetic Resonance

In vivo high-resolution magnetic resonance elastography of the uterine corpus and cervix

Breast

Elastography ultrasound for breast lesions: fat-to-lesion strain ratio vs gland-to-lesion strain ratio

Magnetic Resonance

Feasibility of high-resolution MR imaging for the diagnosis of intracranial vertebrobasilar artery dissection