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Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study

  
@article{QIMS17861,
	author = {Marios A. Gavrielides and Benjamin P. Berman and Mark Supanich and Kurt Schultz and Qin Li and Nicholas Petrick and Rongping Zeng and Jenifer Siegelman},
	title = {Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {7},
	number = {6},
	year = {2017},
	keywords = {},
	abstract = {Background: To assess the volumetric measurement of small (≤1 cm) nonsolid nodules with computed tomography (CT), focusing on the interaction of state of the art iterative reconstruction (IR) methods and dose with nodule densities, sizes, and shapes. 
Methods: Twelve synthetic nodules [5 and 10 mm in diameter, densities of −800, −630 and −10 Hounsfield units (HU), spherical and spiculated shapes] were scanned within an anthropomorphic phantom. Dose [computed tomography scan dose index (CTDIvol)] ranged from standard (4.1 mGy) to below screening levels (0.3 mGy). Data was reconstructed using filtered back-projection and two state-of-the-art IR methods (adaptive and model-based). Measurements were extracted with a previously validated matched filter-based estimator. Analysis of accuracy and precision was based on evaluation of percent bias (PB) and the repeatability coefficient (RC) respectively.
Results: Density had the most important effect on measurement error followed by the interaction of density with nodule size. The nonsolid −630 HU nodules had high accuracy and precision at levels comparable to solid (−10 HU) nonsolid, regardless of reconstruction method and with CTDIvol as low as  0.6 mGy. PB was },
	url = {http://qims.amegroups.com/article/view/17861}
}