Literature DB >> 6647853

A standard phantom for quantitative CT analysis of pulmonary nodules.

E A Zerhouni, M Boukadoum, M A Siddiky, J M Newbold, D C Stone, M P Shirey, J F Spivey, C W Hesselman, F P Leo, F P Stitik.   

Abstract

The CT density of the same pulmonary nodule can vary significantly between scanners or with the same scanner because several independent factors besides partial volume averaging can affect its determination. Hence a single CT number cannot be used to distinguish calcified from noncalcified nodules, ruling out direct extrapolation of quantitative data between scanners. The authors designed a phantom that simulates CT measurements in patients and permits comparison of CT density of each nodule with a physical standard derived from clinical experience. Tests on 35 patients using a GE 8800 showed that no malignant nodules and 65% of benign lesions were more dense than the phantom nodule. This method is independent of inter- and intra-scanner variation and facilitates standardized quantitative analysis of pulmonary nodules with current scanners.

Entities:  

Mesh:

Year:  1983        PMID: 6647853     DOI: 10.1148/radiology.149.3.6647853

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  5 in total

1.  Assessment of technical and biological parameters of volumetric quantitative computed tomography of the foot: a phantom study.

Authors:  K E Smith; B R Whiting; G G Reiker; P K Commean; D R Sinacore; F W Prior
Journal:  Osteoporos Int       Date:  2011-12-07       Impact factor: 4.507

Review 2.  Noncalcified lung nodules: volumetric assessment with thoracic CT.

Authors:  Marios A Gavrielides; Lisa M Kinnard; Kyle J Myers; Nicholas Petrick
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

3.  Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization.

Authors:  Stephen M Schmitt; Mitchell M Goodsitt; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2016-07-19       Impact factor: 10.048

4.  Accuracy of the CT numbers of simulated lung nodules imaged with multi-detector CT scanners.

Authors:  Mitchell M Goodsitt; Heang-Ping Chan; Ted W Way; Sandra C Larson; Emmanuel G Christodoulou; Jeomsoon Kim
Journal:  Med Phys       Date:  2006-08       Impact factor: 4.071

Review 5.  Development of quantitative computed tomography lung protocols.

Authors:  John D Newell; Jered Sieren; Eric A Hoffman
Journal:  J Thorac Imaging       Date:  2013-09       Impact factor: 3.000

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.