Quantitative Feasibility Evaluation of 11C-Methionine Positron Emission Tomography Images in Gamma Knife Radiosurgery : Phantom-Based Study and Clinical Application.

Brain neoplasms Multimodal imaging Phantoms, Imaging Positron-emission tomography Radiosurgery

Journal

Journal of Korean Neurosurgical Society
ISSN: 2005-3711
Titre abrégé: J Korean Neurosurg Soc
Pays: Korea (South)
ID NLM: 101467054

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 23 04 2019
accepted: 02 05 2019
pubmed: 4 6 2019
medline: 4 6 2019
entrez: 4 6 2019
Statut: ppublish

Résumé

The functional information of 11C-methionine positron emission tomography (MET-PET) images can be applied for Gamma knife radiosurgery (GKR) and its image quality may affect defining the tumor. This study conducted the phantom-based evaluation for geometric accuracy and functional characteristic of diagnostic MET-PET image co-registered with stereotactic image in Leksell GammaPlan® (LGP) and also investigated clinical application of these images in metastatic brain tumors. Two types of cylindrical acrylic phantoms fabricated in-house were used for this study : the phantom with an array-shaped axial rod insert and the phantom with different sized tube indicators. The phantoms were mounted on the stereotactic frame and scanned using computed tomography (CT), magnetic resonance imaging (MRI), and PET system. Three-dimensional coordinate values on co-registered MET-PET images were compared with those on stereotactic CT image in LGP. MET uptake values of different sized indicators inside phantom were evaluated. We also evaluated the CT and MRI co-registered stereotactic MET-PET images with MR-enhancing volume and PET-metabolic tumor volume (MTV) in 14 metastatic brain tumors. Imaging distortion of MET-PET was maintained stable at less than approximately 3% on mean value. There was no statistical difference in the geometric accuracy according to co-registered reference stereotactic images. In functional characteristic study for MET-PET image, the indicator on the lateral side of the phantom exhibited higher uptake than that on the medial side. This effect decreased as the size of the object increased. In 14 metastatic tumors, the median matching percentage between MR-enhancing volume and PET-MTV was 36.8% on PET/MR fusion images and 39.9% on PET/CT fusion images. The geometric accuracy of the diagnostic MET-PET co-registered with stereotactic MR in LGP is acceptable on phantom-based study. However, the MET-PET images could the limitations in providing exact stereotactic information in clinical study.

Identifiants

pubmed: 31154754
pii: jkns.2019.0104
doi: 10.3340/jkns.2019.0104
pmc: PMC6616987
doi:

Types de publication

Journal Article

Langues

eng

Pagination

476-486

Subventions

Organisme : Chonnam National University Hospital Biomedical Research Institute
ID : HCRI15005-1

Références

Comput Methods Programs Biomed. 2003 Jun;71(2):165-73
pubmed: 12758138
J Nucl Med. 2004 Apr;45(4):543-52
pubmed: 15073248
J Nucl Med. 2004 Jul;45(7):1146-54
pubmed: 15235060
Nucl Med Commun. 2004 Nov;25(11):1095-102
pubmed: 15577587
Med Phys. 2006 Apr;33(4):976-83
pubmed: 16696474
J Nucl Med. 2007 Jun;48(6):932-45
pubmed: 17504879
Cancer Radiother. 2008 Dec;12(8):800-8
pubmed: 18571453
J Comput Assist Tomogr. 1991 Mar-Apr;15(2):291-6
pubmed: 2002110
Ann Nucl Med. 2011 Apr;25(3):213-20
pubmed: 21188660
Med Phys. 1990 Mar-Apr;17(2):287-95
pubmed: 2333055
J Radiat Res. 2014 Sep;55(5):924-33
pubmed: 24781505
J Radiat Res. 2014 Nov;55(6):1184-91
pubmed: 25034732
J Med Imaging Radiat Oncol. 2014 Oct;58(5):595-600
pubmed: 25124316
Stereotact Funct Neurosurg. 2015;93(6):380-6
pubmed: 26671683
Oncol Rep. 2016 Jun;35(6):3395-402
pubmed: 27109183

Auteurs

Sa-Hoe Lim (SH)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Tae-Young Jung (TY)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Shin Jung (S)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

In-Young Kim (IY)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Kyung-Sub Moon (KS)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Seong-Young Kwon (SY)

Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Woo-Youl Jang (WY)

Department of Neurosurgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.

Classifications MeSH