5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      MR Volumetry of Lung Nodules: A Pilot Study

      brief-report

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction: Computed tomography (CT) is currently the reference modality for the detection and follow-up of pulmonary nodules. While 2D measurements are commonly used in clinical practice to assess growth, increasingly 3D volume measurements are being recommended. The goal of this pilot study was to evaluate preliminarily the capabilities of 3D MRI using ultra-short echo time for lung nodule volumetry, as it would provide a radiation-free modality for this task.

          Material and Methods: Artificial nodules were manufactured out of Agar and measured using an ultra-short echo time MRI sequence. CT data were also acquired as a reference. Image segmentation was carried out using an algorithm based on signal intensity thresholding (SIT). For comparison purposes, we also performed manual slice by slice segmentation. Volumes obtained with MRI and CT were compared. Finally, the volumetry of a lung nodule was evaluated in one human subject in comparison with CT.

          Results: Using the SIT technique, minimal bias was observed between CT and MRI across the entire range of volumes (2%) with limits of agreement below 14%. Comparison of manually segmented MRI and CT resulted in a larger bias (8%) and wider limits of agreement (−23% to 40%). In vivo, nodule volume differed of <16% between modalities with the SIT technique.

          Conclusion: This pilot study showed very good concordance between CT and UTE-MRI to quantify lung nodule volumes, in both a phantom and human setting. Our results enhance the potential of MRI to quantify pulmonary nodule volume with similar performance to CT.

          Related collections

          Most cited references17

          • Record: found
          • Abstract: not found
          • Article: not found

          Pulmonary high-resolution ultrashort TE MR imaging: Comparison with thin-section standard- and low-dose computed tomography for the assessment of pulmonary parenchyma diseases

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Spiral phyllotaxis: the natural way to construct a 3D radial trajectory in MRI.

            While radial 3D acquisition has been discussed in cardiac MRI for its excellent results with radial undersampling, the self-navigating properties of the trajectory need yet to be exploited. Hence, the radial trajectory has to be interleaved such that the first readout of every interleave starts at the top of the sphere, which represents the shell covering all readouts. If this is done sub-optimally, the image quality might be degraded by eddy current effects, and advanced density compensation is needed. In this work, an innovative 3D radial trajectory based on a natural spiral phyllotaxis pattern is introduced, which features optimized interleaving properties: (1) overall uniform readout distribution is preserved, which facilitates simple density compensation, and (2) if the number of interleaves is a Fibonacci number, the interleaves self-arrange such that eddy current effects are significantly reduced. These features were theoretically assessed in comparison with two variants of an interleaved Archimedean spiral pattern. Furthermore, the novel pattern was compared with one of the Archimedean spiral patterns, with identical density compensation, in phantom experiments. Navigator-gated whole-heart coronary imaging was performed in six healthy volunteers. High reduction of eddy current artifacts and overall improvement in image quality were achieved with the novel trajectory. Copyright © 2011 Wiley-Liss, Inc.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              3D radial projection technique with ultrashort echo times for sodium MRI: clinical applications in human brain and skeletal muscle.

              (23)Na MRI has the potential to noninvasively detect sodium (Na) content changes in vivo. The goal of this study was to implement (23)Na MRI in a clinical setting for neurooncological and muscular imaging. Due to the biexponential T(2) decay of the tissue Na signal with a short component, which ranges between 0.5-8 ms, the measurement of total Na content requires imaging techniques with echo times (TEs) below 0.5 ms. A 3D radial pulse sequence with a TE of 0.2 ms at a spatial resolution of 4 x 4 x 4 mm(3) was developed that allows the acquisition and presentation of Na images on the scanner. This sequence was evaluated in patients with low- and high-grade gliomas, and higher (23)Na MR signals corresponding to an increased Na content were found in the tumor regions. The contrast-to-noise ratio (CNR) between tumor and white matter increased from 0.8 +/- 0.2 to 1.3 +/- 0.3 with tumor grade. In patients with an identified muscular (23)Na channelopathy (Paramyotonia congenita (PC)), induced muscle weakness led to a signal increase of approximately 18% in the (23)Na MR images, which was attributed to intracellular Na(+) accumulation in this region.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                12 February 2019
                2019
                : 6
                : 18
                Affiliations
                [1] 1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne , Lausanne, Switzerland
                [2] 2Centre de Recherche Cardio-Thoracique de Bordeaux, Université de Bordeaux , Bordeaux, France
                [3] 3Inserm, Centre de Recherche Cardio-Thoracique de Bordeaux , Bordeaux, France
                [4] 4CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire , Pessac, France
                [5] 5Service of Pneumology, Department of Medicine, Lausanne University Hospital (CHUV) , Lausanne, Switzerland
                [6] 6Department of Physiotherapy, Lausanne University Hospital (CHUV) and University of Lausanne , Lausanne, Switzerland
                [7] 7Advanced Clinical Imaging Technology, Siemens Healthcare AG , Lausanne, Switzerland
                [8] 8Center for Biomedical Imaging , Lausanne, Switzerland
                [9] 9Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital , Lausanne, Switzerland
                Author notes

                Edited by: Konrad E. Bloch, University Hospital Zürich, Switzerland

                Reviewed by: Rudolf Maria Huber, Ludwig Maximilian University of Munich, Germany; Levent Dalar, Istanbul Bilim University, Turkey

                *Correspondence: Catherine Beigelman-Aubry catherine.beigelman-aubry@ 123456chuv.ch

                This article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2019.00018
                6379285
                30809522
                7998c3f7-5ebd-4494-b94b-3aeb356aa705
                Copyright © 2019 Delacoste, Dunet, Dournes, Lovis, Rohner, Elandoy, Simons, Long, Piccini, Stuber, Prior, Nicod and Beigelman-Aubry.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 November 2018
                : 21 January 2019
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 21, Pages: 6, Words: 4094
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 10.13039/501100001711
                Award ID: 320030_176241
                Categories
                Medicine
                Brief Research Report

                lung,ute,mri,volumetry,segmentation,nodules
                lung, ute, mri, volumetry, segmentation, nodules

                Comments

                Comment on this article