Noninvasive pulmonary nodule elastometry by CT and deformable image registration

被引:7
|
作者
Negandar, Mohammadreza [1 ]
Fasola, Carolina E. [1 ]
Yu, Amy S. [1 ]
von Eyben, Rie [1 ]
Yamamoto, Tokihiro [4 ]
Diehn, Maximilian [1 ]
Fleischmann, Dominik [2 ]
Tian, Lu [3 ]
Loo, Billy W. [1 ]
Maxim, Peter G. [1 ]
机构
[1] Stanford Univ, Dept Radiat Oncol, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
[4] Univ Calif Davis, Dept Radiat Oncol, Davis, CA 95616 USA
关键词
Malignant pulmonary nodule (MPN); Elasticity; Deformable image registration (DIR); X-ray CF; Lung cancer; INTERSTITIAL FLUID PRESSURE; MAGNETIC-RESONANCE ELASTOGRAPHY; LUNG-CANCER; HYPERTENSION; TUMORS; THERAPY; BREAST;
D O I
10.1016/j.radonc.2015.03.015
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and purpose: To develop a noninvasive method for determining malignant pulmonary nodule (MPN) elasticity, and compare it against expert dual-observer manual contouring. Methods and materials: We analyzed breath-hold images at extreme tidal volumes of 23 patients with 30 MPN treated with stereotactic ablative radiotherapy. Deformable image registration (DIR) was applied to the breath-hold images to determine the volumes of the MPNs and a ring of surrounding lung tissue (ring) in each state. MPNs were also manually delineated on deep inhale and exhale images by two observers. Volumes were compared between observers and DIR by Dice similarity. Elasticity was defined as the absolute value of the volume ratio of the MPN minus one normalized to that of the ring. Results: For all 30 tumors the Dice coefficient was 0.79 +/- 0.07 and 0.79 +/- 0.06 between DIR with observers 1 and 2, respectively, close to the inter-observer Dice value, 0.81 +/- 0.1. The elasticity of MPNs was 1.24 +/- 0.26, demonstrating that volume change of the MPN was less than that of the surrounding lung. Conclusion: We developed a noninvasive CT elastometry method based on DIR that measures the elasticity of biopsy-proven MPN. Our future direction would be to develop this method to distinguish malignant from benign nodules. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:35 / 40
页数:6
相关论文
共 50 条
  • [1] Noninvasive Pulmonary Nodule Elastometry by CT and Deformable Image Registration
    Negahdar, M.
    Shultz, D. B.
    Eyben, R. V.
    Fasola, C.
    Yu, A. S.
    Tian, L.
    Fleischmann, D.
    Gable, L.
    Shan, X.
    Diehn, M.
    Loo, B. W.
    Maxim, P. G.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S623 - S624
  • [2] Noninvasive Pulmonary Nodule Elastometry by CT and Deformable Image Registration
    Negahdar, M.
    Shultz, D. B.
    Eyben, R. V.
    Fasola, C.
    Yu, A. S.
    Tian, L.
    Fleischmann, D.
    Gable, L.
    Shan, X.
    Diehn, M.
    Loo, B. W.
    Maxim, P. G.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2014, 90 : S10 - S10
  • [3] Improved deformable image registration using hybrid models: An application to solitary pulmonary nodule
    Xia, J.
    Samant, S.
    MEDICAL PHYSICS, 2007, 34 (06) : 2516 - 2517
  • [4] Noninvasive determination of ligament strain with deformable image registration
    Phatak, Nikhil S.
    Sun, Qunli
    Kim, Seong-Eun
    Parker, Dennis L.
    Sanders, R. Kent
    Veress, Alexander I.
    Ellis, Benjamin J.
    Weiss, Jeffrey A.
    ANNALS OF BIOMEDICAL ENGINEERING, 2007, 35 (07) : 1175 - 1187
  • [5] Noninvasive Determination of Ligament Strain with Deformable Image Registration
    Nikhil S. Phatak
    Qunli Sun
    Seong-Eun Kim
    Dennis L. Parker
    R. Kent Sanders
    Alexander I. Veress
    Benjamin J. Ellis
    Jeffrey A. Weiss
    Annals of Biomedical Engineering, 2007, 35 : 1175 - 1187
  • [6] Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks
    Eppenhof, Koen A. J.
    Pluim, Josien P. W.
    JOURNAL OF MEDICAL IMAGING, 2018, 5 (02)
  • [7] A new validation method of thoracic CT to CT deformable image registration
    Nielsen, M. S.
    Ostergaard, L. R.
    Nystrom, P. M.
    Carl, J.
    RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S247 - S247
  • [8] A new validation method of thoracic CT to CT deformable image registration
    Dawoud, S. M.
    Smith, D. W.
    Roberts, N.
    Sebag-Montefiore, D. J.
    Crellin, A. M.
    Crosby, T.
    Radhakrishna, G.
    RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S247 - S247
  • [9] Deformable image registration
    Shen, JK
    Matuszewski, BJ
    Shark, LK
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 3353 - 3356
  • [10] Pulmonary CT Registration Network Based on Deformable Cross Attention
    Ren, Meirong
    Xue, Peng
    Ji, Huizhong
    Zhang, Zhili
    Dong, Enqing
    JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024,