Literature DB >> 30545520

PET/CT Lung Ventilation and Perfusion Scanning using Galligas and Gallium-68-MAA.

Pierre-Yves Le Roux1, Rodney J Hicks2, Shankar Siva3, Michael S Hofman4.   

Abstract

Ventilation/Perfusion (V/Q) positron emission tomography computed tomography (PET/CT) is now possible by substituting Technetium-99m (99mTc) with Gallium-68 (68Ga), using the same carrier molecules as conventional V/Q imaging. Ventilation imaging can be performed with 68Ga-carbon nanoparticles using the same synthesis device as Technegas. Perfusion imaging can be performed with 68Ga-macroaggregated albumin. Similar physiological processes can therefore be evaluated by either V/Q SPECT/CT or PET/CT. However, V/Q PET/CT is inherently a superior technology for image acquisition, with higher sensitivity, higher spatial and temporal resolution, and superior quantitative capability, allowing more accurate delineation and quantification of regional lung function. Additional advantages include reduced acquisition time, respiratory-gated acquisition, and a lower impact on human resources. V/Q PET imaging offers an opportunity to improve the accuracy and utility of V/Q imaging in various pulmonary conditions. For pulmonary embolism, V/Q PET/CT scan may improve the diagnostic performance of the test owing to a better characterization of the pattern of defects and allow an accurate quantification of the extent of vascular obstruction. Establishing an accurate functional map of the regional ventilation and perfusion in the lungs may be relevant in many other clinical situations, including preoperative assessment of the lung cancer patients, radiotherapy planning, or presurgical evaluation of patients undergoing lung volume reduction surgery.
Copyright © 2018. Published by Elsevier Inc.

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Year:  2018        PMID: 30545520     DOI: 10.1053/j.semnuclmed.2018.10.013

Source DB:  PubMed          Journal:  Semin Nucl Med        ISSN: 0001-2998            Impact factor:   4.446


  18 in total

1.  Clinical perspectives for the use of total body PET/CT.

Authors:  Ronan Abgral; David Bourhis; Pierre-Yves Salaun
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06       Impact factor: 9.236

2.  68Ga-Labelled Carbon Nanoparticles for Ventilation PET/CT Imaging: Physical Properties Study and Comparison with Technegas®.

Authors:  Frédérique Blanc-Béguin; Philippe Eliès; Philippe Robin; Raphaël Tripier; Nelly Kervarec; Catherine A Lemarié; Simon Hennebicq; Cécile Tromeur; Virginie Cogulet; Pierre-Yves Salaün; Pierre-Yves Le Roux
Journal:  Mol Imaging Biol       Date:  2020-09-04       Impact factor: 3.488

3.  Independent and incremental value of ventilation/perfusion PET/CT and CT pulmonary angiography for pulmonary embolism diagnosis: results of the PECAN pilot study.

Authors:  Pierre-Yves Le Roux; Amir Iravani; Jason Callahan; Kate Burbury; Peter Eu; Daniel P Steinfort; Eddie Lau; Beverly Woon; Pierre-Yves Salaun; Rodney J Hicks; Michael S Hofman
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-05-01       Impact factor: 9.236

4.  Joint Guideline on Venous Thromboembolism - 2022.

Authors:  Ana Cristina Lopes Albricker; Cláudia Maria Vilas Freire; Simone Nascimento Dos Santos; Monica Luiza de Alcantara; Mohamed Hassan Saleh; Armando Luis Cantisano; José Aldo Ribeiro Teodoro; Carmen Lucia Lascasas Porto; Salomon Israel do Amaral; Orlando Carlos Gloria Veloso; Ana Cláudia Gomes Pereira Petisco; Fanilda Souto Barros; Márcio Vinícius Lins de Barros; Adriano José de Souza; Marcone Lima Sobreira; Robson Barbosa de Miranda; Domingos de Moraes; Carlos Gustavo Yuji Verrastro; Alexandre Dias Mançano; Ronaldo de Souza Leão Lima; Valdair Francisco Muglia; Cristina Sebastião Matushita; Rafael Willain Lopes; Artur Martins Novaes Coutinho; Diego Bromfman Pianta; Alair Augusto Sarmet Moreira Damas Dos Santos; Bruno de Lima Naves; Marcelo Luiz Campos Vieira; Carlos Eduardo Rochitte
Journal:  Arq Bras Cardiol       Date:  2022-04       Impact factor: 2.000

Review 5.  Radiopharmaceutical Labelling for Lung Ventilation/Perfusion PET/CT Imaging: A Review of Production and Optimization Processes for Clinical Use.

Authors:  Frédérique Blanc-Béguin; Simon Hennebicq; Philippe Robin; Raphaël Tripier; Pierre-Yves Salaün; Pierre-Yves Le Roux
Journal:  Pharmaceuticals (Basel)       Date:  2022-04-22

6.  A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients.

Authors:  Ge Ren; Bing Li; Sai-Kit Lam; Haonan Xiao; Yu-Hua Huang; Andy Lai-Yin Cheung; Yufei Lu; Ronghu Mao; Hong Ge; Feng-Ming Spring Kong; Wai-Yin Ho; Jing Cai
Journal:  Front Oncol       Date:  2022-07-01       Impact factor: 5.738

7.  Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model.

Authors:  Takaaki Yoshimura; Atsushi Hasegawa; Shoki Kogame; Keiichi Magota; Rina Kimura; Shiro Watanabe; Kenji Hirata; Hiroyuki Sugimori
Journal:  Diagnostics (Basel)       Date:  2022-03-31

Review 8.  The role of imaging in pulmonary hypertension.

Authors:  Meenal Sharma; Andrew T Burns; Kelvin Yap; David L Prior
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

Review 9.  Pulmonary Functional Imaging: Part 1-State-of-the-Art Technical and Physiologic Underpinnings.

Authors:  Yoshiharu Ohno; Joon Beom Seo; Grace Parraga; Kyung Soo Lee; Warren B Gefter; Sean B Fain; Mark L Schiebler; Hiroto Hatabu
Journal:  Radiology       Date:  2021-04-06       Impact factor: 29.146

10.  Ga-68 EDTA aerosols in evaluation of inhaled-particle deposition and clearance of obstructive pulmonary diseases: A pilot prospective study compared with Galligas.

Authors:  Shao-Ting Wang; Cheng Bao; Qingxing Liu; Tengyue Zhang; Yanli Yang; Xinlun Tian; Zhaohui Zhu; Kai-Feng Xu
Journal:  Eur J Clin Invest       Date:  2021-06-02       Impact factor: 5.722

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