Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Weller, Alex; O’Brien, Mary; Ahmed, Merina; Popat, Sanjay; Bhosle, Jaishree; McDonald, Fiona; Yap, Timothy A.; Du, Yong; Vlahos, Ioannis; deSouza, Nandita M.

doi:10.1016/j.ejca.2016.02.017

Cited by 24 publications

(17 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been shown to be a non-invasive method to measure tumour properties based on the tumour microvasculature with potential for use as an imaging biomarker to assess treatment response. 19,20 However, to ensure accurate analysis of tumour enhancement kinetics, data over a period of time needs to be acquired at high temporal resolution. In the presence of respiratory motion, tumour displacement and blurring can introduce significant errors in the measured parameters and pixel by pixel analysis.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of free breathing Lung MRI for Radiotherapy using non-Cartesian k-space acquisition schemes

Kumar

Rai

Stemmer

et al. 2017

BJR

View full text Add to dashboard Cite

Objective:To test a free-breathing MRI protocol for anatomical and functional assessment during lung cancer radiotherapy by assessing two non-Cartesian acquisition schemes based on T 1 weighted 3D gradient recall echo sequence: (i) stack-of stars (StarVIBE) and (ii) spiral (SpiralVIBE) trajectories. Methods:MR images on five healthy volunteers were acquired on a wide bore 3T scanner (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany). Anatomical image quality was assessed on: (1) free breathing (StarVIBE), (2) the standard clinical sequence (volumetric interpolated breath-hold examination, VIBE) acquired in a 20 second (s) compliant breath-hold and (3) 20 s non-compliant breath-hold. For functional assessment, StarVIBE and the current standard breath-hold time-resolved angiography with stochastic trajectories (TWIST) sequence were run as multiphase acquisitions to replicate dynamic contrast enhancement (DCE) in one healthy volunteer. The potential application of the SpiralVIBE sequence for lung parenchymal imaging was assessed on one healthy volunteer. Ten patients with lung cancer were subsequently imaged with the StarVIBE and SpiralVIBE sequences for anatomical and structural assessment. For functional assessment, free-breathing StarVIBE DCE protocol was compared with breath-hold TWIST sequences on four prior lung cancer patients with similar tumour locations. Image quality was evaluated independently and blinded to sequence information by an experienced thoracic radiologist. Results:For anatomical assessment, the compliant breath-hold VIBE sequence was better than free-breathing StarVIBE. However, in the presence of a non-compliant breath-hold, StarVIBE was superior. For functional assessment, StarVIBE outperformed the standard sequence and was shown to provide robust DCE data in the presence of motion. The ultrashort echo of the SpiralVIBE sequence enabled visualisation of lung parenchyma. Conclusion:The two non-Cartesian acquisition sequences, StarVIBE and SpiralVIBE, provide a free-breathing imaging protocol of the lung with sufficient image quality to permit anatomical, structural and functional assessment during radiotherapy. Advances in knowledge:Novel application of non-Cartesian MRI sequences for lung cancer imaging for radiotherapy. Illustration of SpiralVIBE UTE sequence as a promising sequence for lung structural imaging during lung radiotherapy. To test a free-breathing MRI protocol for anatomical and functional assessment during lung cancer radiotherapy by assessing two non-Cartesian acquisition schemes based on T 1 weighted 3D gradient recall echo sequence: (i) stack-of stars (StarVIBE) and (ii) spiral (SpiralVIBE) trajectories. Methods: MR images on five healthy volunteers were acquired on a wide bore 3T scanner (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany). Anatomical image quality was assessed on: (1) free breathing (StarVIBE), (2) the standard clinical sequence (volumetric interpolated breath-hold examination, VIBE) acquired in a 20 second (s) compliant breath-hold and ...

show abstract

Section: Discussionmentioning

confidence: 99%

Feasibility of free breathing Lung MRI for Radiotherapy using non-Cartesian k-space acquisition schemes

Kumar

Rai

Stemmer

et al. 2017

BJR

View full text Add to dashboard Cite

show abstract

“…Notably, the majority of newly diagnosed patients with NSCLC are already in a late phase, which decreases the probability of recovery and shortens survival time (37). Therapeutic regimens for advanced NSCLC include targeted intervention, chemotherapy, radiotherapy and immunotherapy (38). Late-phase NSCLC is more aggressive, contributing to a poor survival rate (39,40).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, diagnosis protocols for early stage NSCLC are required to improve patient survival. The early detection of NSCLC could improve patient survival due to earlier surgery, conventional treatments and comprehensive therapy (38). Clinically, the following imaging technologies are the most commonly used to diagnose tumors: Ultrasound, X-ray, CT scanning, PET scanning and magnetic resonance imaging (MRI) (42).…”

Section: Discussionmentioning

confidence: 99%

Contrast‑enhanced computerized tomography combined with a targeted nanoparticle contrast agent for screening for early‑phase non‑small cell lung cancer

et al. 2017

View full text Add to dashboard Cite

Abstract. Non-small cell lung cancer (NSCLC) is a major cause of morbidity and mortality, and patients with NSCLC are frequently diagnosed at an advanced stage. This is primarily due to a lack of advanced and sensitive protocols for the detection of early stage NSCLC. Therefore, methods for the accurate diagnosis of early stage NSCLC are urgently required to improve survival rates. The present study investigated the use of contrast-enhanced computerized tomography (CECT) combined with a targeted nanoparticle contrast agent (TNCA) to diagnose early-stage NSCLC in a mice xenograft model. The TNCA used was lenvatinib, a multi-target tyrosine kinase inhibitor that inhibits vascular endothelial growth factor receptor 1-3, fibroblast growth factor receptor 1-4, platelet-derived growth factor receptor β, proto-oncogene tyrosine-protein kinase receptor Ret and mast/stem cell growth factor receptor Kit. Xenograft NSCLC mice were established and used to analyze the efficacy of CECT-TNCA compared with CT scanning alone. The TNCA was inhaled with the use of an atomizer. The results demonstrated that CECT-TNCA improved the sensitivity of the diagnosis of early stage NSCLC. In addition, imaging using the TNCA enabled the visualization of nodules in the lung in mice with early stage NSCLC. In addition, lung nodule signal enhancement was increased in CECT-TNCA compared with CT, suggesting a high accurate accumulation of the TNCA in tumor nodules. Mice diagnosed with early stage NSCLC exhibited a higher eradication rate of NSCLC after treatment with cisplatin compared with mice with advanced stage NSCLC. These data indicate that the sensitivity and accuracy of CT imaging for the diagnosis of early stage NSCLC was improved through combination with the liposome-encapsulated TNCA.

show abstract

“…It is, however, likely that improved probing of biophysical processes using quantitative images of tumors will become increasingly valuable in clinical trials and for directing therapy in clinic, especially with increased availability of targeted therapeutic agents. 97 …”

Section: Challenges In Data Interpretationmentioning

confidence: 99%

DCE-MRI, DW-MRI, and MRS in Cancer

Winfield

Payne

Weller

et al. 2016

Topics in Magnetic Resonance Imaging

View full text Add to dashboard Cite

Multi-parametric magnetic resonance imaging (mpMRI) offers a unique insight into tumor biology by combining functional MRI techniques that inform on cellularity (diffusion-weighted MRI), vascular properties (dynamic contrast-enhanced MRI), and metabolites (magnetic resonance spectroscopy) and has scope to provide valuable information for prognostication and response assessment. Challenges in the application of mpMRI in the clinic include the technical considerations in acquiring good quality functional MRI data, development of robust techniques for analysis, and clinical interpretation of the results. This article summarizes the technical challenges in acquisition and analysis of multi-parametric MRI data before reviewing the key applications of multi-parametric MRI in clinical research and practice.

show abstract

Mechanism and non-mechanism based imaging biomarkers for assessing biological response to treatment in non-small cell lung cancer

Cited by 24 publications

References 125 publications

Feasibility of free breathing Lung MRI for Radiotherapy using non-Cartesian k-space acquisition schemes

Feasibility of free breathing Lung MRI for Radiotherapy using non-Cartesian k-space acquisition schemes

Contrast‑enhanced computerized tomography combined with a targeted nanoparticle contrast agent for screening for early‑phase non‑small cell lung cancer

DCE-MRI, DW-MRI, and MRS in Cancer

Contact Info

Product

Resources

About