Literature DB >> 19464822

Comparison of tumor volumes as determined by pathologic examination and FDG-PET/CT images of non-small-cell lung cancer: a pilot study.

Jinming Yu1, Xinke Li, Ligang Xing, Dianbin Mu, Zheng Fu, Xiaorong Sun, Xiangyu Sun, Guoren Yang, Baijiang Zhang, Xindong Sun, C Clifton Ling.   

Abstract

PURPOSE: To determine the cut-off standardized uptake value (SUV) on (18)F fluoro-2-deoxy-glucose (FDG) positron emission tomography/computed tomography (FDG-PET/CT) images that generates the best volumetric match to pathologic gross tumor volume (GTV(path)) for non-small-cell lung cancer (NSCLC). METHODS AND MATERIALS: Fifteen patients with NSCLC who underwent FDG-PET/CT scans followed by lobectomy were enrolled. The surgical specimen was dissected into 5-7-mum sections at approximately 4-mm intervals and stained with hematoxylin and eosin. The tumor-containing area was outlined slice by slice and the GTV(path) determined by summing over all the slices, taking into account the interslice thickness and fixation-induced volume reduction. The gross tumor volume from the PET images, GTV(PET), was determined as a function of cut-off SUV. The optimal threshold or optimal absolute SUV was defined as the value at which the GTV(PET) was the same as the GTV(path).
RESULTS: The fixation process induced a volumetric reduction to 82% +/- 10% (range, 62-100%) of the original. The maximal SUV was 10.1 +/- 3.6 (range, 4.2-18.7). The optimal threshold and absolute SUV were 31% +/- 11% and 3.0 +/- 1.6, respectively. The optimal threshold was inversely correlated with GTV(path) and tumor diameter (p < 0.05), but the optimal absolute SUV had no significant correlation with GTV(path) or tumor diameter (p > 0.05).
CONCLUSION: This study evaluated the use of GTV(path) as a criterion for determining the optimal cut-off SUV for NSCLC target volume delineation. Confirmatory studies including more cases are being performed.

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Year:  2009        PMID: 19464822     DOI: 10.1016/j.ijrobp.2009.01.019

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  26 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

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

Review 2.  Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?

Authors:  Hyung-Jun Im; Tyler Bradshaw; Meiyappan Solaiyappan; Steve Y Cho
Journal:  Nucl Med Mol Imaging       Date:  2017-09-19

Review 3.  What Do We Measure in Oncology PET?

Authors:  Kyoungjune Pak; Seong-Jang Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-04-18

4.  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

5.  What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom.

Authors:  Maria Werner-Wasik; Arden D Nelson; Walter Choi; Yoshio Arai; Peter F Faulhaber; Patrick Kang; Fabio D Almeida; Ying Xiao; Nitin Ohri; Kristin D Brockway; Jonathan W Piper; Aaron S Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-04-29       Impact factor: 7.038

6.  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

Review 7.  Update in management of hepatocellular carcinoma in Eastern population.

Authors:  Kevin Ka Wan Chu; Tan To Cheung
Journal:  World J Hepatol       Date:  2015-06-18

8.  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

9.  Proposing the lymphatic target volume for elective radiation therapy for pancreatic cancer: a pooled analysis of clinical evidence.

Authors:  Wenjie Sun; Cheng N Leong; Zhen Zhang; Jiade J Lu
Journal:  Radiat Oncol       Date:  2010-04-15       Impact factor: 3.481

10.  (18)F-FDG avid volumes on pre-radiotherapy FDG PET as boost target delineation in non-small cell lung cancer.

Authors:  Ang Gao; Shijiang Wang; Zheng Fu; Xindong Sun; Jinming Yu; Xue Meng
Journal:  Int J Clin Exp Med       Date:  2015-05-15
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