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S. Schönberg



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    SC26 - Angiogenesis Inhibition: Advances & Perspectives (ID 350)

    • Event: WCLC 2016
    • Type: Science Session
    • Track: Biology/Pathology
    • Presentations: 1
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      SC26.04 - Novel Imaging Technique (ID 6712)

      11:00 - 12:30  |  Author(s): S. Schönberg

      • Abstract
      • Presentation
      • Slides

      Abstract:
      Lung cancer is still the leading cause of cancer-related death in both men and women with 80% to 85% of cases being non-small-cell lung cancer (NSCLC).[1]The past fifteen years have brought significant breakthroughs in the understanding of the molecular biology of lung cancer. Signalling pathways and genetic driver mutations that are vital for tumour growth have been identified and can be effectively targeted by novel pharmacologic agents, resulting in significantly improved survival of patients with lung cancer.[2]Parallel to the progress in lung cancer treatment, imaging techniques aiming at improving diagnosis, staging, response evaluation, and detection of tumour recurrence have also considerably advanced in recent years.[3]However, standard morphologic computed tomography (CT) and magnetic resonance imaging (MRI) as well as fluor-18-fluorodeoxyglucose ([18]F-FDG) positron emission tomography CT (PET-CT) are still the currently most frequently utilized imaging modalities in clinical practice and most clinical trials.[4,5]Novel state-of-the-art functional imaging techniques such as dual-energy CT (DECT), dynamic contrast enhanced CT (DCE-CT), diffusion weighted MRI (DW-MRI), perfusion MRI, and PET-CT with more specific tracers that visualize angiogenesis, tumour oxygenation or tumour cell proliferation have not yet been broadly implemented, neither in clinical practice nor in phase I–III clinical trials [6]. In this context, Nishino et al.[4] published an article on personalized tumour response assessment in the era of molecular treatment in oncology. The authors showed that the concept of personalized medicine with regard to cancer treatment has been well applied in therapeutic decision-making and patient management in clinical oncology. With regard to imaging techniques, however, it was criticized that the developments in tumour response assessment that should parallel the advances in cancer treatment are not sufficient to produce state-of-the-art functional information that directly reflect treatment targets. Functional information on tumour response is highly required because there is growing evidence that the current objective criteria for treatment response assessment may not reliably indicate treatment failure and do not adequately capture disease biology. Molecular-targeted therapies and novel immunotherapies induce effects that differ from those induced by classic cytotoxic treatment including intratumorale haemorrhage, changes in vascularity, and tumour cavitation. Thus, conventional approaches for therapy response assessment such as RECIST or WHO criteria that exclusively focus on the change in tumour size are of decreasing value for drug response assessment in clinical trials.[7,8] Parallel to the development of novel imaging techniques automated and more detailed analysis of standard images is currently highly investigated and has led to the introduction of the term Radiomics. Radiomics refers to the comprehensive quantification of tumour phenotypes by applying a large number of quantitative image features that are standardized collected with specific software algorithms. Radiomics features have the capability to further enhance imaging data regarding prognostic tumour signatures, detection of tumour heterogeneity as well as the detection of underlying gene expression patterns which is of special interest in patients with metastatic disease. The aim of of this presentation is to provide an overview on state-of-the-art imaging techniques for the initial staging, response evaluation as well as surveillance in patients with lung cancer. The various techniques will be discussed regarding their pros and cons to further provide functional information that best reflects specific targeted therapies including anti-angiogenetic treatment, immunotherapies and stereotactic body radiation therapy. Moreover, imaging techniques and optimal time points after local minimally invasive treatments with microwave ablation or novel irreversible electroporation will be discussed. The second part of the presentation will focus on Radiomics and its potential value in lung cancer imaging. Literature: 1. Rami-Porta R, Crowley JJ, Goldstraw P. The revised TNM staging system for lung cancer. Ann Thorac Cardiovasc Surg 2009;15:4-9. 2. Rengan R, Maity AM, Stevenson JP, Hahn SM. New strategies in non-small cell lung cancer: improving outcomes in chemoradiotherapy for locally advanced disease. Clin Cancer Res 2011;17:4192-9. 3. Miles K. Can imaging help improve the survival of cancer patients? Cancer Imaging 2011;11 Spec No A:S86-92. 4. Nishino M, Jackman DM, Hatabu H, Janne PA, Johnson BE, Van den Abbeele AD. Imaging of lung cancer in the era of molecular medicine. Acad Radiol 2011;18:424-36. 5. Nishino M, Jagannathan JP, Ramaiya NH, Van den Abbeele AD. Revised RECIST guideline version 1.1: What oncologists want to know and what radiologists need to know. AJR Am J Roentgenol 2010;195:281-9. 6. Henzler T, Goldstraw P, Wenz F, et al. Perspectives of novel imaging techniques for staging, therapy response assessment, and monitoring of surveillance in lung cancer: summary of the Dresden 2013 Post WCLC-IASLC State-of-the-Art Imaging Workshop. J Thorac Oncol 2015;10:237-49. 7. Oxnard GR, Morris MJ, Hodi FS, et al. When progressive disease does not mean treatment failure: reconsidering the criteria for progression. J Natl Cancer Inst 2012;104:1534-41. 8. Stacchiotti S, Collini P, Messina A, et al. High-grade soft-tissue sarcomas: tumor response assessment--pilot study to assess the correlation between radiologic and pathologic response by using RECIST and Choi criteria. Radiology 2009;251:447-56.

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