Literature DB >> 21440998

Noninvasive evaluation of microscopic tumor extensions using standardized uptake value and metabolic tumor volume in non-small-cell lung cancer.

Xue Meng1, Xindong Sun, Dianbin Mu, Ligang Xing, Li Ma, Baijiang Zhang, Shuqiang Zhao, Guoren Yang, Feng-Ming Spring Kong, Jinming Yu.   

Abstract

PURPOSE: To prospectively evaluate whether maximal microscopic extensions (MEmax) correlate with maximal standardized uptake value (SUVmax) and metabolic tumor volume (MTV) at 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) images in non-small-cell lung cancer (NSCLC). METHODS AND MATERIALS: Thirty-nine patients with Stage I-IIIA NSCLC underwent surgery after FDG-PET/CT scanning. SUVmax and MTV were calculated on the PET/CT images. The maximum linear distance from the tumor margin to the farthest extent of the tumor in every dimension was measured at the tumor section. The correlations among MEmax, SUVmax, MTV and other clinical pathologic parameters were analyzed.
RESULTS: MEmax for all patients had a significant correlation with SUVmax (r = 0.777, p = 0.008) and MTV (r = 0.724, p < 0.001). When expressed in terms of the probability of covering ME with respect to a given margin, we suggested that margins of 1.93 mm, 3.90 mm, and 9.60 mm for SUVmax ≤ 5, 5-10, and >10 added to the gross tumor volume would be adequate to cover 95% of ME.
CONCLUSIONS: This study demonstrated that tumors with high SUVmax and MTV have more MEmax and would therefore require more margin expansion from gross tumor volume to clinical target volume. FDG-PET/CT, especially for SUVmax, is promising and effective and merits additional study in noninvasive delimiting of the clinical target volume margin for NSCLC.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21440998     DOI: 10.1016/j.ijrobp.2010.10.064

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


  15 in total

1.  Tumor Spread through Air Spaces is an Important Pattern of Invasion and Impacts the Frequency and Location of Recurrences after Limited Resection for Small Stage I Lung Adenocarcinomas.

Authors:  Kyuichi Kadota; Jun-Ichi Nitadori; Camelia S Sima; Hideki Ujiie; Nabil P Rizk; David R Jones; Prasad S Adusumilli; William D Travis
Journal:  J Thorac Oncol       Date:  2015-05       Impact factor: 15.609

2.  Metabolic Tumor Volume Measured by F-18 FDG PET/CT can Further Stratify the Prognosis of Patients with Stage IV Non-Small Cell Lung Cancer.

Authors:  Su Woong Yoo; Jahae Kim; Ari Chong; Seong-Young Kwon; Jung-Joon Min; Ho-Chun Song; Hee-Seung Bom
Journal:  Nucl Med Mol Imaging       Date:  2012-09-05

3.  Histologic Subtype in Core Lung Biopsies of Early-Stage Lung Adenocarcinoma is a Prognostic Factor for Treatment Response and Failure Patterns After Stereotactic Body Radiation Therapy.

Authors:  Jonathan E Leeman; Andreas Rimner; Joseph Montecalvo; Meier Hsu; Zhigang Zhang; Donata von Reibnitz; Kelly Panchoo; Ellen Yorke; Prasad S Adusumilli; William Travis; Abraham J Wu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-09-29       Impact factor: 7.038

4.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

5.  Prognostic value of 18F-FDG PET/CT in patients with soft tissue sarcoma: comparisons between metabolic parameters.

Authors:  Sun-pyo Hong; Seung Eun Lee; Yoon-La Choi; Sung Wook Seo; Ki-Sun Sung; Hong Hoe Koo; Joon Young Choi
Journal:  Skeletal Radiol       Date:  2014-02-15       Impact factor: 2.199

6.  Early-Stage Non-Small Cell Lung Cancer: Quantitative Imaging Characteristics of (18)F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis.

Authors:  Jia Wu; Todd Aguilera; David Shultz; Madhu Gudur; Daniel L Rubin; Billy W Loo; Maximilian Diehn; Ruijiang Li
Journal:  Radiology       Date:  2016-04-05       Impact factor: 11.105

7.  Correlation between combining 18F-FDG PET/CT metabolic parameters and other clinical features and ALK or ROS1 fusion in patients with non-small-cell lung cancer.

Authors:  Maomei Ruan; Liu Liu; Lihua Wang; Bei Lei; Xiaoyan Sun; Cheng Chang; Yan Shen; Wenhui Xie
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-03       Impact factor: 9.236

Review 8.  The clinical target volume in lung, head-and-neck, and esophageal cancer: Lessons from pathological measurement and recurrence analysis.

Authors:  Rudi Apolle; Maximilian Rehm; Thomas Bortfeld; Michael Baumann; Esther G C Troost
Journal:  Clin Transl Radiat Oncol       Date:  2017-03-21

Review 9.  Prognostic significance of volume-based PET parameters in cancer patients.

Authors:  Seung Hwan Moon; Seung Hyup Hyun; Joon Young Choi
Journal:  Korean J Radiol       Date:  2012-12-28       Impact factor: 3.500

10.  Current concepts in F18 FDG PET/CT-based radiation therapy planning for lung cancer.

Authors:  Percy Lee; Patrick Kupelian; Johannes Czernin; Partha Ghosh
Journal:  Front Oncol       Date:  2012-07-11       Impact factor: 6.244

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