Literature DB >> 30397859

A Pilot Study of Texture Analysis of Primary Tumor [18F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer.

Masatoyo Nakajo1, Megumi Jinguji2, Tetsuya Shinaji3, Masaya Aoki4, Atsushi Tani2, Yoshiaki Nakabeppu5, Masayuki Nakajo6, Masami Sato4, Takashi Yoshiura2.   

Abstract

PURPOSE: To examine whether the heterogeneous texture parameters in primary tumor can predict prognosis of patients with non-small cell lung cancer (NSCLC) received surgery after 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET)/X-ray computed tomography (CT). PROCEDURE: This retrospective study included 55 patients with NSCLC who underwent [18F]FDG-PET/CT before surgery from January 2011 and December 2015. SUV-related (SUVmax and SUVmean), volumetric (metabolic tumor volume [SUV ≥ 2.5], and total lesion glycolysis) and texture parameters (local parameters; entropy, homogeneity, and dissimilarity and regional parameters; intensity variability [IV], size-zone variability [SZV], and zone percentage [ZP]) were obtained. Tumor size, TNM stage, SUV-related, volumetric, and texture parameters were compared between the patients with progression and without progression using Mann-Whitney's U or χ2 test and progression-free survival (PFS) and prognostic significance were assessed by Kaplan-Meier method and Cox regression analysis, respectively.
RESULTS: Nineteen patients eventually showed progression, and 36 patients were alive without progression during clinical follow-up (median follow-up PFS; 23 months [range, 1-71]). The patients with progression showed significantly larger tumor size (p < 0.001), higher IV (p = 0.010), and higher SZV (p = 0.007) than those without progression. PFS was significantly shorter in patients with large tumor size (p = 0.008), high T stage (p = 0.009), high stage (p = 0.013), high IV (p = 0.012), and high SZV (p = 0.015) at univariate analysis. At multivariate analysis, stage (hazard ratio [HR] 1.62, p = 0.035) and IV (hazard ratio 6.19, p = 0.048) were only remained independent predictors for PFS.
CONCLUSIONS: The regional heterogeneity texture parameters IV and SZV can predict tumor progression, and IV has the potential to predict prognosis of surgically treated NSCLC patients.

Entities:  

Keywords:  Non-small cell lung cancer; SUV; Texture analysis; [18F]FDG-PET/CT

Year:  2019        PMID: 30397859     DOI: 10.1007/s11307-018-1290-z

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN: 1536-1632            Impact factor:   3.488


  35 in total

1.  Visual versus quantitative assessment of intratumor 18F-FDG PET uptake heterogeneity: prognostic value in non-small cell lung cancer.

Authors:  Florent Tixier; Mathieu Hatt; Clemence Valla; Vincent Fleury; Corinne Lamour; Safaa Ezzouhri; Pierre Ingrand; Remy Perdrisot; Dimitris Visvikis; Catherine Cheze Le Rest
Journal:  J Nucl Med       Date:  2014-06-05       Impact factor: 10.057

2.  Lung cancer staging essentials: the new TNM staging system and potential imaging pitfalls.

Authors:  Stacy J UyBico; Carol C Wu; Robert D Suh; Nanette H Le; Kathleen Brown; Mayil S Krishnam
Journal:  Radiographics       Date:  2010-09       Impact factor: 5.333

3.  Impact of revised stage classification of lung cancer on survival: a military experience.

Authors:  S A Adebonojo; A N Bowser; D M Moritz; P C Corcoran
Journal:  Chest       Date:  1999-06       Impact factor: 9.410

4.  Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.

Authors:  I El Naqa; P Grigsby; A Apte; E Kidd; E Donnelly; D Khullar; S Chaudhari; D Yang; M Schmitt; Richard Laforest; W Thorstad; J O Deasy
Journal:  Pattern Recognit       Date:  2009-06-01       Impact factor: 7.740

5.  The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours.

Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

6.  Prediction for recurrence using F-18 FDG PET/CT in pathologic N0 lung adenocarcinoma after curative surgery.

Authors:  Do-Hoon Kim; Seung Hyun Son; Choon-Young Kim; Chae Moon Hong; Jong-Ryool Oh; Bong-Il Song; Hae Won Kim; Shin Young Jeong; Sang-Woo Lee; Jaetae Lee; Byeong-Cheol Ahn
Journal:  Ann Surg Oncol       Date:  2013-09-18       Impact factor: 5.344

7.  Volume-based parameters of (18)F-fluorodeoxyglucose positron emission tomography/computed tomography improve outcome prediction in early-stage non-small cell lung cancer after surgical resection.

Authors:  Seung Hyup Hyun; Joon Young Choi; Kwhanmien Kim; Jhingook Kim; Young Mog Shim; Sang-Won Um; Hojoong Kim; Kyung-Han Lee; Byung-Tae Kim
Journal:  Ann Surg       Date:  2013-02       Impact factor: 12.969

8.  Texture analysis of 18F-FDG PET/CT to predict tumour response and prognosis of patients with esophageal cancer treated by chemoradiotherapy.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Yoshiaki Nakabeppu; Masayuki Nakajo; Ryutarou Higashi; Yoshihiko Fukukura; Ken Sasaki; Yasuto Uchikado; Shoji Natsugoe; Takashi Yoshiura
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-09-10       Impact factor: 9.236

Review 9.  The revised TNM staging system for lung cancer.

Authors:  Ramon Rami-Porta; John J Crowley; Peter Goldstraw
Journal:  Ann Thorac Cardiovasc Surg       Date:  2009-02       Impact factor: 1.520

Review 10.  Prognostic Value of 18F-FDG PET/CT in Surgical Non-Small Cell Lung Cancer: A Meta-Analysis.

Authors:  Jing Liu; Min Dong; Xiaorong Sun; Wenwu Li; Ligang Xing; Jinming Yu
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

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Authors:  Stephanie Harmon; Christopher W Seder; Song Chen; Anne Traynor; Robert Jeraj; Justin D Blasberg
Journal:  J Thorac Dis       Date:  2019-04       Impact factor: 2.895

Review 2.  Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Luca Boldrini; Roberto Gatta; Daniele Pizzuto; Salvatore Annunziata
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Journal:  Cancer Manag Res       Date:  2021-01-12       Impact factor: 3.989

4.  Preoperative Texture Analysis Using 11C-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma.

Authors:  Osamu Manabe; Shigeru Yamaguchi; Kenji Hirata; Kentaro Kobayashi; Hiroyuki Kobayashi; Shunsuke Terasaka; Takuya Toyonaga; Keiichi Magota; Yuji Kuge; Nagara Tamaki; Tohru Shiga; Kohsuke Kudo
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5.  Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer.

Authors:  Clément Bouron; Clara Mathie; Valérie Seegers; Olivier Morel; Pascal Jézéquel; Hamza Lasla; Camille Guillerminet; Sylvie Girault; Marie Lacombe; Avigaelle Sher; Franck Lacoeuille; Anne Patsouris; Aude Testard
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.639

6.  Differentiation between non-small cell lung cancer and radiation pneumonitis after carbon-ion radiotherapy by 18F-FDG PET/CT texture analysis.

Authors:  Makito Suga; Ryuichi Nishii; Kenta Miwa; Yuto Kamitaka; Kana Yamazaki; Kentaro Tamura; Naoyoshi Yamamoto; Ryosuke Kohno; Masato Kobayashi; Katsuyuki Tanimoto; Hiroshi Tsuji; Tatsuya Higashi
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

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