Literature DB >> 18640802

Evaluation of gross tumor size using CT, 18F-FDG PET, integrated 18F-FDG PET/CT and pathological analysis in non-small cell lung cancer.

Hui Ming Yu1, Yun Fang Liu, Ming Hou, Jie Liu, Xiao Nan Li, Jin Ming Yu.   

Abstract

PURPOSE: The correlation of gross tumor sizes between combined 18F-FDG PET/CT images and macroscopic surgical samples has not yet been studied in detail. In the present study, we compared CT, 18F-FDG PET and combined 18F-FDG PET/CT for the delineation of gross tumor volume (GTV) and validated the results through examination of the macroscopic surgical specimen.
METHODS: Fifty-two operable non-small cell lung cancer (NSCLC) patients had integrated 18F-FDG PET/CT scans preoperatively and pathological examination post-operation. Four separate maximal tumor sizes at X (lateral direction), Y (ventro-dorsal direction) and Z (cranio-caudal direction) axis were measured on 18F-FDG PET, CT, combined 18F-FDG PET/CT and surgical specimen, respectively. Linear regression was calculated for each of the three imaging measurements versus pathological measurement.
RESULTS: No significant differences were observed among the tumor sizes measured by three images and pathological method. Compared with pathological measurement, CT size at X, Y, Z axis was larger, whereas combined 18F-FDG PET/CT and 18F-FDG PET size were smaller. Combined 18F-FDG PET/CT size was more similar to the pathological size than that of 18F-FDG PET or CT. Results of linear regressions showed that integrated 18F-FDG PET/CT was the most accurate modality in measuring the size of cancer.
CONCLUSIONS: 18F-FDG PET/CT correlates more faithfully with pathological findings than 18F-FDG PET or CT. Integrated 18F-FDG PET/CT is an effective tool to define the target of GTV in radiotherapy.

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Year:  2008        PMID: 18640802     DOI: 10.1016/j.ejrad.2008.06.015

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  18 in total

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Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

Review 2.  Prognostic value of metabolic tumor burden in lung cancer.

Authors:  Piotr Obara; Yonglin Pu
Journal:  Chin J Cancer Res       Date:  2013-12       Impact factor: 5.087

3.  Metabolic Tumor Volume on PET Reduced More than Gross Tumor Volume on CT during Radiotherapy in Patients with Non-Small Cell Lung Cancer Treated with 3DCRT or SBRT.

Authors:  Pawinee Mahasittiwat; Shuanghu Yuan; Congying Xie; Timothy Ritter; Yue Cao; Randall K Ten Haken; Feng-Ming Spring Kong
Journal:  J Radiat Oncol       Date:  2013-06

4.  Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary?

Authors:  Piotr Obara; Haiping Liu; Kristen Wroblewski; Chen-Peng Zhang; Peng Hou; Yulei Jiang; Ping Chen; Yonglin Pu
Journal:  Nucl Med Commun       Date:  2015-08       Impact factor: 1.690

5.  Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation.

Authors:  Mathieu Hatt; Catherine Cheze-le Rest; Angela van Baardwijk; Philippe Lambin; Olivier Pradier; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2011-10-11       Impact factor: 10.057

6.  Correlation between tumor measurement on Computed Tomography and resected specimen size in lung adenocarcinomas.

Authors:  Katharine Lampen-Sachar; Binsheng Zhao; Junting Zheng; Chaya S Moskowitz; Lawrence H Schwartz; Maureen F Zakowski; Naiyer A Rizvi; Mark G Kris; Michelle S Ginsberg
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7.  Application of machine learning methodology for PET-based definition of lung cancer.

Authors:  A Kerhet; C Small; H Quon; T Riauka; L Schrader; R Greiner; D Yee; A McEwan; W Roa
Journal:  Curr Oncol       Date:  2010-02       Impact factor: 3.677

8.  Using fluorodeoxyglucose positron emission tomography to assess tumor volume during radiotherapy for non-small-cell lung cancer and its potential impact on adaptive dose escalation and normal tissue sparing.

Authors:  Mary Feng; Feng-Ming Kong; Milton Gross; Shaneli Fernando; James A Hayman; Randall K Ten Haken
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-15       Impact factor: 7.038

9.  High detection sensitivity and reliable morphological correlation of PET with a silicon photomultiplier for primary tongue squamous cell carcinoma.

Authors:  Ikuho Kojima; Kentaro Takanami; Takenori Ogawa; Maya Sakamoto; Hirokazu Nagai; Hitoshi Miyashita; Masahiro Iikubo
Journal:  Ann Nucl Med       Date:  2020-06-20       Impact factor: 2.668

10.  Optimal Standardized Uptake Value Threshold for Auto contouring of Gross Tumor Volume using Positron Emission Tomography/Computed Tomography in Patients with Operable Nonsmall-Cell Lung Cancer: Comparison with Pathological Tumor Size.

Authors:  Anil Tibdewal; Mangesh Patil; Shagun Misra; Nilendu Purandare; Venkatesh Rangarajan; Naveen Mummudi; George Karimundackal; Sabita Jiwnani; Jaiprakash Agarwal
Journal:  Indian J Nucl Med       Date:  2021-03-04
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