| Tumor volume discrepancies between FDG-PET and MRI for cervical cancer. | |
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MedLine Citation:
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PMID: 20971521 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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PURPOSE: To compare the MRI-defined gross tumor volume (MR-GTV) to the metabolic tumor volume (Metabolic GTV) defined by FDG-PET in patients with cervical cancer. MATERIALS AND METHODS: Forty seven patients with cervical cancer underwent FDG-PET/CT and MRI simulations. FDG-PET images were acquired with a spatial resolution of 5mm. MR imaging was performed on a 1.5 Tesla scanner. MR-GTV was contoured on the T2 axial images while Metabolic GTV was auto-contoured using a 40% SUV threshold. Tumor volumes were compared. RESULTS: Eighteen patients (38.3%) had tumors ⩾62cc on MRI. Seventeen patients (36.2%) had tumors ⩾14 and <62cc, while 12 patients (25.5%) had tumors <14cc. 83% of patients in the ⩾62cc, 23.5% in the 14-62cc, and 16.7% in the <14cc cohort had Grade 3 images as defined by Dimopoulos et al. In the ⩾62cc cohort, MR-GTV and Metabolic GTV had a lesion coverage factor of 0.68 (mean MR-GTV(vol) 124.1, mean Metabolic GTV(vol) 119.9cc). This fell to 0.51 (32.4, 33.1cc) for the 14-62cc, and 0.28 (8.4, 8.7cc) for the <14cc cohort. These differences were statistically significant on ANOVA testing (p<0.001). CONCLUSIONS: MRI provided better visualization of larger tumors than smaller tumors in reference to FDG-PET/CT. FDG-PET/CT visualized tumor volumes different from T2-weighted MRI, especially in tumors <14cc in regard to location. |
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Authors:
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Daniel J Ma; Jian-Ming Zhu; Perry W Grigsby |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Volume: 98 ISSN: 1879-0887 ISO Abbreviation: Radiother Oncol Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-01-17 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8407192 Medline TA: Radiother Oncol Country: Ireland |
Other Details:
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Languages: eng Pagination: 139-42 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Department of Radiation Oncology, Washington University School of Medicine, MO, United States. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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