Unknown

Dataset Information

0

Quantitative assessment of ventilation-perfusion relationships with gallium-68 positron emission tomography/computed tomography imaging in lung cancer patients.


ABSTRACT: Pulmonary functional imaging has demonstrated potential to improve thoracic radiotherapy. The purpose of this study was twofold: 1) to quantify ventilation/perfusion relationships in lung cancer patients using a new functional imaging approach, gallium-68 (68Ga)-positron emission tomography/computed tomography (PET/CT); and 2) to compare ventilation/perfusion matching with diffusing capacity of the lung for carbon monoxide (DLCO). Voxel-wise correlations between ventilation and perfusion varied widely among 19 patients (range: 0.26-0.88). 68Ga-PET/CT-measured percent gas exchanging lung volume was moderately correlated with DLCO (≤0.59). Our findings suggested that 68Ga-PET/CT ventilation/perfusion imaging provided complementary information and a reasonable surrogate for gas exchange in lung cancer patients.

SUBMITTER: Li Z 

PROVIDER: S-EPMC9018442 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Quantitative assessment of ventilation-perfusion relationships with gallium-68 positron emission tomography/computed tomography imaging in lung cancer patients.

Li Zhuorui Z   Le Roux Pierre-Yves PY   Callahan Jason J   Hardcastle Nicholas N   Hofman Michael S MS   Siva Shankar S   Yamamoto Tokihiro T  

Physics and imaging in radiation oncology 20220411


Pulmonary functional imaging has demonstrated potential to improve thoracic radiotherapy. The purpose of this study was twofold: 1) to quantify ventilation/perfusion relationships in lung cancer patients using a new functional imaging approach, gallium-68 (<sup>68</sup>Ga)-positron emission tomography/computed tomography (PET/CT); and 2) to compare ventilation/perfusion matching with diffusing capacity of the lung for carbon monoxide (D<sub>LCO</sub>). Voxel-wise correlations between ventilation  ...[more]

Similar Datasets

| S-EPMC9936343 | biostudies-literature
| S-EPMC5550810 | biostudies-other
| S-EPMC3929899 | biostudies-literature
| S-EPMC7032651 | biostudies-literature
| S-EPMC4175825 | biostudies-literature
| S-EPMC8405867 | biostudies-literature
| S-EPMC3170926 | biostudies-literature
| S-EPMC5306314 | biostudies-literature
| S-EPMC8659110 | biostudies-literature
| S-EPMC7419408 | biostudies-literature