Literature DB >> 19340527

Relationship between maximum standardized uptake value (SUVmax) of lung cancer and lymph node metastasis on FDG-PET.

Atsushi Nambu1, Satoshi Kato, Yoko Sato, Hideto Okuwaki, Keiichi Nishikawa, Akitoshi Saito, Keiko Matsumoto, Tomoaki Ichikawa, Tsutomu Araki.   

Abstract

PURPOSE: To evaluate the relationship between SUVmax of primary lung cancers on FDG-PET and lymph node metastasis. METHOD AND MATERIALS: The subjects were a total of consecutive 66 patients with lung cancer who were examined by FDG-PET and subsequently underwent surgery between October 2004 and January 2008. There were 41 males and 25 females, ranging in age from 45 to 83 years with an average of 68 years. The pathological subtypes of the lung cancers consisted of 49 adenocarcinomas, 11 squamous cell carcinomas, 2 adenosquamous carcinoma, 1 large cell carcinoma, 1 small cell carcinoma, 1 pleomorphic carcinoma and 1 mucoepidermoid carcinoma. We statistically compared (1) the mean SUVmax of lung cancer between the groups with and without lymph node metastasis (2) the frequency of lymph node metastasis between higher and lower SUVmax of lung cancer groups that were classified by using the median SUVmax of lung cancer, and (3) evaluated the relationship between the SUVmax of lung cancer and frequency of lymph node metastases, and (4) correlations between the SUVmax of lung cancer and number of the metastatic lymph nodes and pathological n stages.
RESULTS: The difference in the average of the SUVmax of lung cancer between the cases with and without lymph node metastases was statistically significant (p = 0.00513). Lymph node metastasis was more frequently seen in the higher SUVmax of lung cancer group (17/33, 52%) than in the lower SUVmax of lung cancer group (7/33, 21%) with a statistically significant difference. There was no lymph node metastasis in lung cancers with an SUVmax of lung cancer less than 2.5, and lung cancers with an SUVmax of lung cancer more than 12 had a 70% frequency of lymph node metastasis. There were moderate correlations between SUVmax of lung cancer, and the number of the metastatic lymph nodes (gamma = 0.404, p = 0.001) and pathological n stage (gamma = 0.411, p = 0.001).
CONCLUSIONS: The likelihood of lymph node metastasis increases with an increase of the SUV of a primary lung cancer.

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Year:  2009        PMID: 19340527     DOI: 10.1007/s12149-009-0237-5

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  16 in total

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3.  SUV navigator enables rapid [18F]-FDG PET/CT image interpretation compared with 2D ROI and 3D VOI evaluations.

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Journal:  Jpn J Radiol       Date:  2017-05-11       Impact factor: 2.374

4.  Risk Factors for Predicting Occult Lymph Node Metastasis in Patients with Clinical Stage I Non-small Cell Lung Cancer Staged by Integrated Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.

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5.  Application of Artificial Neural Network to Preoperative 18F-FDG PET/CT for Predicting Pathological Nodal Involvement in Non-small-cell Lung Cancer Patients.

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6.  Evaluation of the factors affecting the maximum standardized uptake value of metastatic lymph nodes in different histological types of non-small cell lung cancer on PET-CT.

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7.  Can Initial (18)F-FDG PET-CT Imaging Give Information on Metastasis in Patients with Primary Renal Cell Carcinoma?

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Journal:  Nucl Med Mol Imaging       Date:  2013-11-28

8.  The correlation of SUVmax with pathological characteristics of primary tumor and the value of Tumor/ Lymph node SUVmax ratio for predicting metastasis to lymph nodes in resected NSCLC patients.

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Journal:  J Cardiothorac Surg       Date:  2013-04-04       Impact factor: 1.637

9.  Impact of point spread function modelling and time of flight on FDG uptake measurements in lung lesions using alternative filtering strategies.

Authors:  Ian S Armstrong; Matthew D Kelly; Heather A Williams; Julian C Matthews
Journal:  EJNMMI Phys       Date:  2014-11-30

10.  The maximum standardized FDG uptake on PET-CT in patients with non-small cell lung cancer.

Authors:  Mehmet Akif Ozgül; Gamze Kirkil; Ekrem Cengiz Seyhan; Erdoğan Cetinkaya; Güler Ozgül; Mahmut Yüksel
Journal:  Multidiscip Respir Med       Date:  2013-10-22
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