Literature DB >> 27987576

Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC.

Vishesh Agrawal1, Thibaud P Coroller2, Ying Hou2, Stephanie W Lee2, John L Romano2, Elizabeth H Baldini1, Aileen B Chen1, David M Jackman3, David Kozono1, Scott J Swanson4, Jon O Wee4, Hugo J W L Aerts5, Raymond H Mak6.   

Abstract

OBJECTIVES: Accurate assessment of tumor response to chemoradiation has the potential to guide clinical decision-making regarding surgical resection and/or dose escalation for patients. Early assessment has implications for Optimal local therapy for operable locally advanced non-small cell lung cancer (LA-NSCLC) is controversial. This study evaluated quantitative CT-based tumor measurements to predict pathologic response.
MATERIALS AND METHODS: Patients with operable LA-NSCLC treated with chemoradiation followed by surgical resection were assessed. Tumor diameter and volume were quantified from CT imaging obtained prior to chemoradiation and post-chemoradiation prior to surgical resection. Univariate and multivariate logistic regression were used to determine association with the primary endpoint of pathologic complete response (pCR). Overall survival, locoregional recurrence, and distant metastasis were assessed as secondary endpoints.
RESULTS: 101 LA-NSCLC patients were identified and treated with preoperative chemoradiation and surgical resection. The median RT dose was 54Gy (range, 46-70) and 98% of patients received concurrent chemoradiation as part of their preoperative treatment. Reduction of CT-defined tumor volume was associated with pCR (OR 1.06 [1.02-1.09], p=0.002) and LRR (HR 1.01 [1.00-1.02], p=0.048). Conventional response assessment determined by RECIST (p=0.213) was not associated with pCR or any secondary endpoints.
CONCLUSION: CT-measured reductions in tumor volume after chemoradiation are associated with pCR and provide greater clinical information about tumor response than conventional response assessment (RECIST) or absolute tumor sizes or volumes. This study demonstrates that change in tumor volumes provides better radiologic-pathologic correlation and is thus an additional tool to assess tumor response following chemoradiation.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Non-small cell lung cancer; Quantitative imaging; Recist; Response assessment

Mesh:

Year:  2016        PMID: 27987576     DOI: 10.1016/j.lungcan.2016.10.002

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  9 in total

Review 1.  Predictive and prognostic value of tumor volume and its changes during radical radiotherapy of stage III non-small cell lung cancer : A systematic review.

Authors:  Lukas Käsmann; Maximilian Niyazi; Oliver Blanck; Christian Baues; René Baumann; Sophie Dobiasch; Chukwuka Eze; Daniel Fleischmann; Tobias Gauer; Frank A Giordano; Yvonne Goy; Jan Hausmann; Christoph Henkenberens; David Kaul; Lisa Klook; David Krug; Matthias Mäurer; Cédric M Panje; Johannes Rosenbrock; Lisa Sautter; Daniela Schmitt; Christoph Süß; Alexander H Thieme; Maike Trommer-Nestler; Sonia Ziegler; Nadja Ebert; Daniel Medenwald; Christian Ostheimer
Journal:  Strahlenther Onkol       Date:  2017-10-13       Impact factor: 3.621

2.  Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer.

Authors:  Linlin Wang; Taotao Dong; Bowen Xin; Chongrui Xu; Meiying Guo; Huaqi Zhang; Dagan Feng; Xiuying Wang; Jinming Yu
Journal:  Eur Radiol       Date:  2019-01-14       Impact factor: 5.315

3.  Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

Authors:  Raymond H Mak; Michael G Endres; Jin H Paik; Rinat A Sergeev; Hugo Aerts; Christopher L Williams; Karim R Lakhani; Eva C Guinan
Journal:  JAMA Oncol       Date:  2019-05-01       Impact factor: 31.777

4.  Surgical complications and clinical outcomes after dose-escalated trimodality therapy for non-small cell lung cancer in the era of intensity-modulated radiotherapy.

Authors:  Kevin X Liu; Kailan Sierra-Davidson; Kevin Tyan; Lawrence T Orlina; J Paul Marcoux; Benjamin H Kann; David E Kozono; Raymond H Mak; Abby White; Lisa Singer
Journal:  Radiother Oncol       Date:  2021-10-22       Impact factor: 6.280

5.  Prognostic impact of gross tumor volume during radical radiochemotherapy of locally advanced non-small cell lung cancer-results from the NCT03055715 multicenter cohort study of the Young DEGRO Trial Group.

Authors:  C Ostheimer; M Mäurer; N Ebert; D Schmitt; D Krug; R Baumann; C Henkenberens; F A Giordano; L Sautter; Guerra López; D F Fleischmann; M Niyazi; L Käsmann; D Kaul; A H Thieme; C Billiet; S Dobiasch; C R Arnold; M Oertel; J Haussmann; T Gauer; Y Goy; C Suess; S Ziegler; C M Panje; C Baues; M Trommer; T Skripcak; D Medenwald
Journal:  Strahlenther Onkol       Date:  2021-01-07       Impact factor: 3.621

6.  AI-Radiomics Can Improve Inclusion Criteria and Clinical Trial Performance.

Authors:  Michal R Tomaszewski; Shuxuan Fan; Alberto Garcia; Jin Qi; Youngchul Kim; Robert A Gatenby; Matthew B Schabath; William D Tap; Denise K Reinke; Rikesh J Makanji; Damon R Reed; Robert J Gillies
Journal:  Tomography       Date:  2022-02-02

7.  Pathologic complete response after induction therapy-the role of surgery in stage IIIA/B locally advanced non-small cell lung cancer.

Authors:  Waldemar Schreiner; Sofiya Gavrychenkova; Wojciech Dudek; Ralf Joachim Rieker; Sebastian Lettmaier; Rainer Fietkau; Horia Sirbu
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

Review 8.  Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives.

Authors:  Madhurima R Chetan; Fergus V Gleeson
Journal:  Eur Radiol       Date:  2020-08-18       Impact factor: 5.315

9.  Heart dose linked with cardiac events and overall survival in lung cancer radiotherapy: A meta-analysis.

Authors:  Li Pan; Dengshun Lei; Wenbing Wang; Yanqiu Luo; Dan Wang
Journal:  Medicine (Baltimore)       Date:  2020-09-18       Impact factor: 1.817

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.