Literature DB >> 33825513

Pulmonary Functional Imaging: Part 1-State-of-the-Art Technical and Physiologic Underpinnings.

Yoshiharu Ohno1, Joon Beom Seo1, Grace Parraga1, Kyung Soo Lee1, Warren B Gefter1, Sean B Fain1, Mark L Schiebler1, Hiroto Hatabu1.   

Abstract

Over the past few decades, pulmonary imaging technologies have advanced from chest radiography and nuclear medicine methods to high-spatial-resolution or low-dose chest CT and MRI. It is currently possible to identify and measure pulmonary pathologic changes before these are obvious even to patients or depicted on conventional morphologic images. Here, key technological advances are described, including multiparametric CT image processing methods, inhaled hyperpolarized and fluorinated gas MRI, and four-dimensional free-breathing CT and MRI methods to measure regional ventilation, perfusion, gas exchange, and biomechanics. The basic anatomic and physiologic underpinnings of these pulmonary functional imaging techniques are explained. In addition, advances in image analysis and computational and artificial intelligence (machine learning) methods pertinent to functional lung imaging are discussed. The clinical applications of pulmonary functional imaging, including both the opportunities and challenges for clinical translation and deployment, will be discussed in part 2 of this review. Given the technical advances in these sophisticated imaging methods and the wealth of information they can provide, it is anticipated that pulmonary functional imaging will be increasingly used in the care of patients with lung disease. © RSNA, 2021 Online supplemental material is available for this article.

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Year:  2021        PMID: 33825513      PMCID: PMC8165947          DOI: 10.1148/radiol.2021203711

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   29.146


  123 in total

1.  Structural basis for pulmonary functional imaging.

Authors:  H Itoh; M Nakatsu; L M Yoxtheimer; H Uematsu; Y Ohno; H Hatabu
Journal:  Eur J Radiol       Date:  2001-03       Impact factor: 3.528

2.  Evaluation of regional pulmonary perfusion using ultrafast magnetic resonance imaging.

Authors:  D L Levin; Q Chen; M Zhang; R R Edelman; H Hatabu
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

3.  In vivo MR imaging and spectroscopy using hyperpolarized 129Xe.

Authors:  M E Wagshul; T M Button; H F Li; Z Liang; C S Springer; K Zhong; A Wishnia
Journal:  Magn Reson Med       Date:  1996-08       Impact factor: 4.668

4.  Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.

Authors:  Jongha Park; Jihye Yun; Namkug Kim; Beomhee Park; Yongwon Cho; Hee Jun Park; Mijeong Song; Minho Lee; Joon Beom Seo
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

Review 5.  Physiology for the pulmonary functional imager.

Authors:  David L Levin; Mark L Schiebler; Susan R Hopkins
Journal:  Eur J Radiol       Date:  2016-09-28       Impact factor: 3.528

6.  Tissue-blood partition coefficient for xenon: temperature and hematocrit dependence.

Authors:  R Y Chen; F C Fan; S Kim; K M Jan; S Usami; S Chien
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1980-08

7.  Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.

Authors:  Yanqi Huang; Zaiyi Liu; Lan He; Xin Chen; Dan Pan; Zelan Ma; Cuishan Liang; Jie Tian; Changhong Liang
Journal:  Radiology       Date:  2016-06-27       Impact factor: 11.105

8.  Thin-section CT of the secondary pulmonary lobule: anatomy and the image--the 2004 Fleischner lecture.

Authors:  W Richard Webb
Journal:  Radiology       Date:  2006-03-16       Impact factor: 11.105

9.  Co-registered perfusion SPECT/CT: utility for prediction of improved postoperative outcome in lung volume reduction surgery candidates.

Authors:  Daisuke Takenaka; Yoshiharu Ohno; Hisanobu Koyama; Munenobu Nogami; Yumiko Onishi; Keiko Matsumoto; Takeshi Yoshikawa; Sumiaki Matsumoto; Kazuro Sugimura
Journal:  Eur J Radiol       Date:  2009-04-16       Impact factor: 3.528

10.  Hyperpolarized Xe MR imaging of alveolar gas uptake in humans.

Authors:  Zackary I Cleveland; Gary P Cofer; Gregory Metz; Denise Beaver; John Nouls; S Sivaram Kaushik; Monica Kraft; Jan Wolber; Kevin T Kelly; H Page McAdams; Bastiaan Driehuys
Journal:  PLoS One       Date:  2010-08-16       Impact factor: 3.240

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  4 in total

Review 1.  Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.

Authors:  Warren B Gefter; Kyung Soo Lee; Mark L Schiebler; Grace Parraga; Joon Beom Seo; Yoshiharu Ohno; Hiroto Hatabu
Journal:  Radiology       Date:  2021-04-13       Impact factor: 29.146

2.  Estimation of Nuclear Medicine Exposure Measures Based on Intelligent Computer Processing.

Authors:  Junfeng Wang; Fangxiao Wang; Yue Liu; Yuanfan Xu; Jiangtao Liang; Ziming Su
Journal:  J Healthc Eng       Date:  2021-09-27       Impact factor: 2.682

3.  PREFUL MRI Depicts Dual Bronchodilator Changes in COPD: A Retrospective Analysis of a Randomized Controlled Trial.

Authors:  Andreas Voskrebenzev; Till F Kaireit; Filip Klimeš; Gesa H Pöhler; Lea Behrendt; Heike Biller; Korbinian Berschneider; Frank Wacker; Tobias Welte; Jens M Hohlfeld; Jens Vogel-Claussen
Journal:  Radiol Cardiothorac Imaging       Date:  2022-04-21

Review 4.  Artificial intelligence in functional imaging of the lung.

Authors:  Raúl San José Estépar
Journal:  Br J Radiol       Date:  2021-12-10       Impact factor: 3.629

  4 in total

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