Literature DB >> 25575575

Ga-68 MAA Perfusion 4D-PET/CT Scanning Allows for Functional Lung Avoidance Using Conformal Radiation Therapy Planning.

Shankar Siva1, Thomas Devereux2, David L Ball3, Michael P MacManus3, Nicholas Hardcastle4, Tomas Kron4, Mathias Bressel5, Farshad Foroudi3, Nikki Plumridge4, Daniel Steinfort6, Mark Shaw4, Jason Callahan2, Rodney J Hicks3, Michael S Hofman3.   

Abstract

BACKGROUND: Ga-68-macroaggregated albumin ((68)Ga-perfusion) positron emission tomography/computed tomography (PET/CT) is a novel imaging technique for the assessment of functional lung volumes. The purpose of this study was to use this imaging technique for functional adaptation of definitive radiotherapy plans in patients with non-small cell lung cancer (NSCLC).
METHODS: This was a prospective clinical trial of patients with NSCLC who received definitive 3-dimensional (3D) conformal radiotherapy to 60 Gy in 30 fx and underwent pretreatment respiratory-gated (4-dimensional [4D]) perfusion PET/CT. The "perfused" lung volume was defined as all lung parenchyma taking up radiotracer, and the "well-perfused" lung volume was contoured using a visually adapted threshold of 30% maximum standardized uptake value (SUV max). Alternate 3D conformal plans were subsequently created and optimized to avoid perfused and well-perfused lung volumes. Functional dose volumetrics were compared using mean lung dose (MLD), V5 (volume receiving 5 Gy or more), V10, V20, V30, V40, V50, and V60 parameters.
RESULTS: Fourteen consecutive patients had alternate radiotherapy plans created based on functional lung volumes. When considering the original treatment plan, the dose to perfused and well-perfused functional lung volumes was similar to that of the conventional anatomical lung volumes with an average MLD of 12.15, 12.67, and 12.11 Gy, respectively. Plans optimized for well-perfused lung improved functional V30, V40, V50, and V60 metrics (all P values <.05). The functional MLD of well-perfused lung was improved by a median of 0.86 Gy, P < .01. However, plans optimized for perfused lung only showed significant improvement in the functional V60 dose parameter (median 1.00%, P = .04) but at a detriment of a worse functional V5 (median 3.33%, P = .05).
CONCLUSIONS: This study demonstrates proof of principle that 4D-perfusion PET/CT may enable functional lung avoidance during treatment planning of patients with NSCLC. Radiotherapy plans adapted to well-perfused but not perfused functional lung volumes allow for reduction in dose to functional lung using 3D conformal radiotherapy.
© The Author(s) 2015.

Entities:  

Keywords:  4D imaging; functional imaging; lung cancer; perfusion scintigraphy; positron emission tomography; radiation therapy PET/CT

Mesh:

Substances:

Year:  2015        PMID: 25575575     DOI: 10.1177/1533034614565534

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  16 in total

1.  Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network.

Authors:  Yuncheng Zhong; Yevgeniy Vinogradskiy; Liyuan Chen; Nick Myziuk; Richard Castillo; Edward Castillo; Thomas Guerrero; Steve Jiang; Jing Wang
Journal:  Med Phys       Date:  2019-03-12       Impact factor: 4.071

2.  Framework for radiation pneumonitis risk stratification based on anatomic and perfused lung dosimetry.

Authors:  Gurleen Dhami; Jing Zeng; Hubert J Vesselle; Paul E Kinahan; Robert S Miyaoka; Shilpen A Patel; Ramesh Rengan; Stephen R Bowen
Journal:  Strahlenther Onkol       Date:  2017-03-02       Impact factor: 3.621

Review 3.  Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization.

Authors:  Michael MacManus; Sarah Everitt; Tanja Schimek-Jasch; X Allen Li; Ursula Nestle; Feng-Ming Spring Kong
Journal:  Transl Lung Cancer Res       Date:  2017-12

4.  N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation.

Authors:  Wei Shao; Taylor J Patton; Sarah E Gerard; Yue Pan; Joseph M Reinhardt; Oguz C Durumeric; John E Bayouth; Gary E Christensen
Journal:  IEEE Trans Med Imaging       Date:  2019-12-30       Impact factor: 10.048

5.  Comparison of regional lung perfusion response on longitudinal MAA SPECT/CT in lung cancer patients treated with and without functional tissue-avoidance radiation therapy.

Authors:  Hannah Mary T Thomas; Jing Zeng; Howard J Lee; Balu Krishna Sasidharan; Paul E Kinahan; Robert S Miyaoka; Hubert J Vesselle; Ramesh Rengan; Stephen R Bowen
Journal:  Br J Radiol       Date:  2019-08-12       Impact factor: 3.039

6.  Initial Clinical Experience with 68Ga-DOTA-NOC Prepared Using 68Ga from Nanoceria-polyacrylonitrile Composite Sorbent-based 68Ge/68Ga Generator and Freeze-dried DOTA-NOC Kits.

Authors:  Piyush Chandra; Bhakti Shetye; Rubel Chakravarty; Archana Mukherjee; Usha Pandey; Ashish Kumar Jha; Nilendu Purandare; Sneha Shah; Archi Agrawal; Ramu Ram; Ashutosh Dash; Venkatesh Rangarajan
Journal:  World J Nucl Med       Date:  2017 Apr-Jun

7.  Correlation of positron emission tomography ventilation-perfusion matching with CT densitometry in severe emphysema.

Authors:  Asha Bonney; Carrie-Anne Wagner; Shankar Siva; Jason Callahan; Pierre-Yves Le Roux; Diane M Pascoe; Louis Irving; Michael S Hofman; Daniel P Steinfort
Journal:  EJNMMI Res       Date:  2020-07-28       Impact factor: 3.138

8.  Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts.

Authors:  Wei Shao; Yue Pan; Oguz C Durumeric; Joseph M Reinhardt; John E Bayouth; Mirabela Rusu; Gary E Christensen
Journal:  Med Image Anal       Date:  2021-06-21       Impact factor: 13.828

9.  Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients.

Authors:  Masakazu Otsuka; Hajime Monzen; Kenji Matsumoto; Mikoto Tamura; Masahiro Inada; Noriyuki Kadoya; Yasumasa Nishimura
Journal:  PLoS One       Date:  2018-10-03       Impact factor: 3.240

10.  Single photon emission computed tomography (SPECT) or positron emission tomography (PET) imaging for radiotherapy planning in patients with lung cancer: a meta-analysis.

Authors:  Soo Jin Lee; Hae Jin Park
Journal:  Sci Rep       Date:  2020-09-10       Impact factor: 4.379

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