Literature DB >> 24594400

Imaging features associated with disease progression after stereotactic ablative radiotherapy for stage I non-small-cell lung cancer.

David B Shultz1, Nicholas Trakul1, Jonathan A Abelson1, James D Murphy1, Peter G Maxim2, Quynh-Thu Le2, Billy W Loo2, Maximilian Diehn3.   

Abstract

INTRODUCTION/
BACKGROUND: The aim of this study was to identify imaging-based predictors of progression in patients treated with SABR for stage I NSCLC. PATIENTS AND METHODS: Between March 2003 and December 2012, 117 patients with stage I NSCLC meeting our study criteria were treated with SABR at Stanford University. Median follow-up was 17 months (range, 3-74 months) for all patients and 19 months for living patients (range, 3-74 months). Tumors were classified according to whether or not they contacted the pleura adjacent to the chest wall or mediastinum (MP), according to their maximum dimension based on computed tomography scans, and, for 102 patients who had archived pretreatment fluorine-18 fluorodeoxyglucose positron-emission tomography scans, according to SUVmax.
RESULTS: Ten patients (9%) developed local progression, 17 (15%) developed regional progression, and 19 (16%) developed distant metastasis. Two-year freedom from local progression, freedom from regional progression, and freedom from distant metastasis (FFDM) were 88%, 83%, and 83%, respectively. Overall survival was 70% at 2 years. FFDM was significantly associated with MP contact, maximum tumor dimension, and SUVmax, and these variables could be combined into an exploratory prognostic index that identified patients at highest risk for developing metastases.
CONCLUSION: In our cohort, noninvasive, imaging-based features were associated with distant progression after SABR for early stage NSCLC. If validated, our prognostic index could allow identification of patients who might benefit from systemic therapy after SABR. Published by Elsevier Inc.

Entities:  

Keywords:  Early stage; FDG-PET; Prognostic; SABR; Stereotactic body radiation therapy (SBRT)

Mesh:

Year:  2014        PMID: 24594400     DOI: 10.1016/j.cllc.2013.12.011

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  12 in total

1.  Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapy.

Authors:  Sarah A Mattonen; Shyama Tetar; David A Palma; Alexander V Louie; Suresh Senan; Aaron D Ward
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-12

2.  Lobectomy: no port at all?

Authors:  Yanping Ren; Yuxin Jiao; Xiangpeng Zheng
Journal:  Ann Transl Med       Date:  2017-05

3.  FDG-PET maximum standardized uptake value is prognostic for recurrence and survival after stereotactic body radiotherapy for non-small cell lung cancer.

Authors:  Zachary A Kohutek; Abraham J Wu; Zhigang Zhang; Amanda Foster; Shaun U Din; Ellen D Yorke; Robert Downey; Kenneth E Rosenzweig; Wolfgang A Weber; Andreas Rimner
Journal:  Lung Cancer       Date:  2015-05-28       Impact factor: 5.705

4.  Imaging features from pretreatment CT scans are associated with clinical outcomes in nonsmall-cell lung cancer patients treated with stereotactic body radiotherapy.

Authors:  Qian Li; Jongphil Kim; Yoganand Balagurunathan; Ying Liu; Kujtim Latifi; Olya Stringfield; Alberto Garcia; Eduardo G Moros; Thomas J Dilling; Matthew B Schabath; Zhaoxiang Ye; Robert J Gillies
Journal:  Med Phys       Date:  2017-06-24       Impact factor: 4.071

Review 5.  Comparison of particle beam therapy and stereotactic body radiotherapy for early stage non-small cell lung cancer: A systematic review and hypothesis-generating meta-analysis.

Authors:  Alexander Chi; Haiquan Chen; Sijin Wen; Haijuan Yan; Zhongxing Liao
Journal:  Radiother Oncol       Date:  2017-05-22       Impact factor: 6.280

6.  The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.

Authors:  Pierre Starkov; Todd A Aguilera; Daniel I Golden; David B Shultz; Nicholas Trakul; Peter G Maxim; Quynh-Thu Le; Billy W Loo; Maximillan Diehn; Adrien Depeursinge; Daniel L Rubin
Journal:  Br J Radiol       Date:  2018-11-20       Impact factor: 3.039

7.  Impact of tumor attachment to the pleura measured by a pretreatment CT image on outcome of stage I NSCLC treated with stereotactic body radiotherapy.

Authors:  Takaya Yamamoto; Noriyuki Kadoya; Yuko Shirata; Masashi Koto; Kiyokazu Sato; Haruo Matsushita; Toshiyuki Sugawara; Rei Umezawa; Masaki Kubozono; Yojiro Ishikawa; Maiko Kozumi; Noriyoshi Takahashi; Kengo Ito; Yu Katagiri; Ken Takeda; Keiichi Jingu
Journal:  Radiat Oncol       Date:  2015-02-07       Impact factor: 3.481

8.  Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.

Authors:  Olya Grove; Anders E Berglund; Matthew B Schabath; Hugo J W L Aerts; Andre Dekker; Hua Wang; Emmanuel Rios Velazquez; Philippe Lambin; Yuhua Gu; Yoganand Balagurunathan; Edward Eikman; Robert A Gatenby; Steven Eschrich; Robert J Gillies
Journal:  PLoS One       Date:  2015-03-04       Impact factor: 3.240

9.  Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients.

Authors:  Ilke Tunali; Olya Stringfield; Albert Guvenis; Hua Wang; Ying Liu; Yoganand Balagurunathan; Philippe Lambin; Robert J Gillies; Matthew B Schabath
Journal:  Oncotarget       Date:  2017-10-06

10.  CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy.

Authors:  Qian Li; Jongphil Kim; Yoganand Balagurunathan; Jin Qi; Ying Liu; Kujtim Latifi; Eduardo G Moros; Matthew B Schabath; Zhaoxiang Ye; Robert J Gillies; Thomas J Dilling
Journal:  Radiat Oncol       Date:  2017-09-25       Impact factor: 3.481

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