Literature DB >> 20221810

The reproducibility of deep-inspiration breath-hold (18)F-FDG PET/CT technique in diagnosing various cancers affected by respiratory motion.

Shigeki Nagamachi1, Hideyuki Wakamatsu, Shogo Kiyohara, Seigo Fujita, Shigemi Futami, Hideo Arita, Shozo Tamura, Keiichi Kawai.   

Abstract

BACKGROUND: The deep-inspiration breath-hold PET/CT (DIBH PET/CT) technique improves the limitations of diagnosing a lesion located in an area influenced by respiratory motion that results in spatial misregistrations caused by respiration between PET and CT. However, its reproducibility with regard to calculating the maximal standardized uptake value (SUV(max)) and metabolic volume (MV) in DIBH PET/CT has not been elucidated.
OBJECTIVE: The purpose of this study was to investigate the reproducibility of the DIBH PET/CT technique including calculating the SUV(max) and the MV.
METHODS: Sixty patients with various cancers were enrolled. The subjects had 47 abdominal lesions and 28 chest lesions. All patients demonstrated a misregistered image in the early whole-body image taken 50 min after FDG intravenous infusions. We added the delayed spot images 40 min after the first image. On the delayed image, we performed both conventional techniques with non-breath-hold (NBH) and the DIBH technique. In the four times DIBH technique, we obtained the coefficient of variance (CV) in calculating these indices for evaluating reproducibility.
RESULTS: The SUV(max) value with DIBH showed an increase of 16.1-60.1% compared with that measured by NBH. The mean value of CV was 5.5 in thoracic lesions and 6.3 in abdominal lesions. The values of MV with DIBH showed a decrease of 14.0-20.1% compared with those measured by NBH. Regarding reproducibility, mean value of CV was 7.1 in thoracic lesions and 11.9 in abdominal lesions.
CONCLUSION: The DIBH technique improves the inaccurate quantification of both SUV(max) and MV. Although the CV value of SUV(max) with DIBH technique is better in thoracic lesions compared with that in abdominal lesions, the reproducibility was acceptable.

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Year:  2010        PMID: 20221810     DOI: 10.1007/s12149-010-0352-3

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  7 in total

1.  Techniques for respiration-induced artifacts reductions in thoracic PET/CT.

Authors:  Tao Sun; Greta S P Mok
Journal:  Quant Imaging Med Surg       Date:  2012-03

2.  Assessing and accounting for the impact of respiratory motion on FDG uptake and viable volume for liver lesions in free-breathing PET using respiration-suspended PET images as reference.

Authors:  Guang Li; C Ross Schmidtlein; Irene A Burger; Carole A Ridge; Stephen B Solomon; John L Humm
Journal:  Med Phys       Date:  2014-09       Impact factor: 4.071

3.  The impact of data-driven respiratory gating in clinical F-18 FDG PET/CT: comparison of free breathing and deep-expiration breath-hold CT protocol.

Authors:  Seo Young Kang; Byung Seok Moon; Hye Ok Kim; Hai-Jeon Yoon; Bom Sahn Kim
Journal:  Ann Nucl Med       Date:  2021-01-15       Impact factor: 2.668

Review 4.  Management of respiratory motion in PET/computed tomography: the state of the art.

Authors:  Audrey Pépin; Joël Daouk; Pascal Bailly; Sébastien Hapdey; Marc-Etienne Meyer
Journal:  Nucl Med Commun       Date:  2014-02       Impact factor: 1.690

5.  Importance of Defect Detectability in Positron Emission Tomography Imaging of Abdominal Lesions.

Authors:  Shozo Yamashita; Kunihiko Yokoyama; Masahisa Onoguchi; Haruki Yamamoto; Tetsu Nakaichi; Shiro Tsuji; Kenichi Nakajima
Journal:  Asia Ocean J Nucl Med Biol       Date:  2015

6.  Breath-hold and free-breathing F-18-FDG-PET/CT in malignant melanoma-detection of additional tumoral foci and effects on quantitative parameters.

Authors:  Robert Bärwolf; Mariana Zirnsak; Martin Freesmeyer
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

7.  Respiratory motion reduction in PET/CT using abdominal compression for lung cancer patients.

Authors:  Tzung-Chi Huang; Yao-Ching Wang; Yu-Rou Chiou; Chia-Hung Kao
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

  7 in total

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