Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography
Positron emission tomography-computed tomography (PET-CT) is superior compared to stand-alone PET in evaluation of malignancies. Few studies have employed high-resolution structural information to correct PET. We designed a semiautomatic algorithm using CT and PET to obtain a partial volume correcte...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2010-11-01
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| Series: | Molecular Imaging |
| Online Access: | https://doi.org/10.2310/7290.2010.00019 |
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| author | Ralph A. Bundschuh Markus Essler Julia Dinges Christian Berchtenbreiter Jan Mariss Axel Martínez-Möller Gaspar Delso Melanie Hohberg Stephan G. Nekolla Dominik Schulz Sibylle I. Ziegler Markus Schwaiger |
| author_facet | Ralph A. Bundschuh Markus Essler Julia Dinges Christian Berchtenbreiter Jan Mariss Axel Martínez-Möller Gaspar Delso Melanie Hohberg Stephan G. Nekolla Dominik Schulz Sibylle I. Ziegler Markus Schwaiger |
| author_sort | Ralph A. Bundschuh |
| collection | DOAJ |
| description | Positron emission tomography-computed tomography (PET-CT) is superior compared to stand-alone PET in evaluation of malignancies. Few studies have employed high-resolution structural information to correct PET. We designed a semiautomatic algorithm using CT and PET to obtain a partial volume corrected (PVC) standardized uptake value (SUV) and a combined morphologic and functional parameter (multimodal SUV) for lymph node assessment. Lesions were segmented by a semiautomatic algorithm in CT images. Lesion volume was used for PVC and for calculating the multimodal SUV. The method was applied to 47 lymph nodes (30 patients) characterized as suspicious in 18 F-fluorodeoxyglucose-PET-CT. In phantoms, PVC improved significantly the measured uptake of the lesion. In patients, 36 lymph nodes could be segmented without problems; in 11 lesions, a manual interaction was necessary. SUVs before PVC (mean 1.29) increased significantly ( p < .0005) after PVC (mean 2.8). If SUV 2.5 was used as a threshold value to distinguish between benign and malignant lesions, 11 of the 47 lesions changed from benign to malignant after the PVC. The mean multimodal SUV was 0.39 mL for the benign lesions and 4.47 mL for the malignant lesions. In this work we presented a method for quantitative analysis of lymph nodes in PET-CT. PVC leads to significant differences in SUV. |
| format | Article |
| id | doaj-art-f95d593388d141feb3abdf83be500994 |
| institution | Kabale University |
| issn | 1536-0121 |
| language | English |
| publishDate | 2010-11-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Molecular Imaging |
| spelling | doaj-art-f95d593388d141feb3abdf83be5009942025-01-02T22:41:16ZengSAGE PublishingMolecular Imaging1536-01212010-11-01910.2310/7290.2010.0001910.2310_7290.2010.00019Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed TomographyRalph A. BundschuhMarkus EsslerJulia DingesChristian BerchtenbreiterJan MarissAxel Martínez-MöllerGaspar DelsoMelanie HohbergStephan G. NekollaDominik SchulzSibylle I. ZieglerMarkus SchwaigerPositron emission tomography-computed tomography (PET-CT) is superior compared to stand-alone PET in evaluation of malignancies. Few studies have employed high-resolution structural information to correct PET. We designed a semiautomatic algorithm using CT and PET to obtain a partial volume corrected (PVC) standardized uptake value (SUV) and a combined morphologic and functional parameter (multimodal SUV) for lymph node assessment. Lesions were segmented by a semiautomatic algorithm in CT images. Lesion volume was used for PVC and for calculating the multimodal SUV. The method was applied to 47 lymph nodes (30 patients) characterized as suspicious in 18 F-fluorodeoxyglucose-PET-CT. In phantoms, PVC improved significantly the measured uptake of the lesion. In patients, 36 lymph nodes could be segmented without problems; in 11 lesions, a manual interaction was necessary. SUVs before PVC (mean 1.29) increased significantly ( p < .0005) after PVC (mean 2.8). If SUV 2.5 was used as a threshold value to distinguish between benign and malignant lesions, 11 of the 47 lesions changed from benign to malignant after the PVC. The mean multimodal SUV was 0.39 mL for the benign lesions and 4.47 mL for the malignant lesions. In this work we presented a method for quantitative analysis of lymph nodes in PET-CT. PVC leads to significant differences in SUV.https://doi.org/10.2310/7290.2010.00019 |
| spellingShingle | Ralph A. Bundschuh Markus Essler Julia Dinges Christian Berchtenbreiter Jan Mariss Axel Martínez-Möller Gaspar Delso Melanie Hohberg Stephan G. Nekolla Dominik Schulz Sibylle I. Ziegler Markus Schwaiger Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography Molecular Imaging |
| title | Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography |
| title_full | Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography |
| title_fullStr | Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography |
| title_full_unstemmed | Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography |
| title_short | Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography |
| title_sort | semiautomatic algorithm for lymph node analysis corrected for partial volume effects in combined positron emission tomography computed tomography |
| url | https://doi.org/10.2310/7290.2010.00019 |
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