Literature DB >> 23200174

Total gross tumor volume is an independent prognostic factor in patients treated with selective nodal irradiation for stage I to III small cell lung cancer.

Bart Reymen1, Judith Van Loon, Angela van Baardwijk, Rinus Wanders, Jacques Borger, Anne-Marie C Dingemans, Gerben Bootsma, Cordula Pitz, Ragnar Lunde, Wiel Geraedts, Philippe Lambin, Dirk De Ruysscher.   

Abstract

PURPOSE: In non-small cell lung cancer, gross tumor volume (GTV) influences survival more than other risk factors. This could also apply to small cell lung cancer. METHODS AND MATERIALS: Analysis of our prospective database with stage I to III SCLC patients referred for concurrent chemo radiation therapy. Standard treatment was 45 Gy in 1.5-Gy fractions twice daily concurrently with carboplatin-etoposide, followed by prophylactic cranial irradiation (PCI) in case of non-progression. Only fluorodeoxyglucose (FDG)-positron emission tomography (PET)-positive or pathologically proven nodal sites were included in the target volume. Total GTV consisted of post chemotherapy tumor volume and pre chemotherapy nodal volume. Survival was calculated from diagnosis (Kaplan-Meier ).
RESULTS: A total of 119 patients were included between May 2004 and June 2009. Median total GTV was 93 ± 152 cc (7.5-895 cc). Isolated elective nodal failure occurred in 2 patients (1.7%). Median follow-up was 38 months, median overall survival 20 months (95% confidence interval = 17.8-22.1 months), and 2-year survival 38.4%. In multivariate analysis, only total GTV (P=.026) and performance status (P=.016) significantly influenced survival.
CONCLUSIONS: In this series of stage I to III small cell lung cancer patients treated with FDG-PET-based selective nodal irradiation total GTV is an independent risk factor for survival.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2012        PMID: 23200174     DOI: 10.1016/j.ijrobp.2012.10.003

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


  14 in total

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Journal:  J Oncol Transl Res       Date:  2016-07-26

2.  A novel analytical framework for risk stratification of real-world data using machine learning: A small cell lung cancer study.

Authors:  Luca Marzano; Adam S Darwich; Salomon Tendler; Asaf Dan; Rolf Lewensohn; Luigi De Petris; Jayanth Raghothama; Sebastiaan Meijer
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3.  Correlation between Semi-Quantitative (18)F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer.

Authors:  Soyeon Park; Eunsub Lee; Seunghong Rhee; Jaehyuk Cho; Sunju Choi; Sinae Lee; Jae Seon Eo; Kisoo Pahk; Jae Gol Choe; Sungeun Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-01-05

4.  Small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  A-M C Dingemans; M Früh; A Ardizzoni; B Besse; C Faivre-Finn; L E Hendriks; S Lantuejoul; S Peters; N Reguart; C M Rudin; D De Ruysscher; P E Van Schil; J Vansteenkiste; M Reck
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5.  Early treatment volume reduction rate as a prognostic factor in patients treated with chemoradiotherapy for limited stage small cell lung cancer.

Authors:  Joohwan Lee; Jeongshim Lee; Jinhyun Choi; Jun Won Kim; Jaeho Cho; Chang Geol Lee
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Authors:  Yan-Fang Qiu; Zhi-Gang Liu; Wen-Juan Yang; Yu Zhao; Jiao Tang; Wei-Zhi Tang; Yi Jin; Fang Li; Rui Zhong; Hui Wang
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9.  Does the response to induction chemotherapy impact the timing of thoracic radiotherapy for limited-stage small-cell lung cancer?

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Journal:  Thorac Cancer       Date:  2015-02-02       Impact factor: 3.500

10.  Image Based Data Mining Using Per-voxel Cox Regression.

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Journal:  Front Oncol       Date:  2020-07-21       Impact factor: 6.244

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