Effect of blood vessels on measurement of nodule volume in a chest phantom

Radiology

Volumn 239, Issue 1, 2006, Pages 79-85

  Ko, Jane P ^a   Marcus, Rachel ^a   Bomsztyk, Elan ^a   Babb, James S ^a   Stefanescu, Cornel ^a   Kaur, Manmeen ^a   Naidich, David P ^a   Rusinek, Henry ^a  

^a NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BLOOD VESSEL; IMAGE ANALYSIS; IMAGE QUALITY; LUNG NODULE; MULTIDETECTOR COMPUTED TOMOGRAPHY; PHANTOM; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL IMAGING; TUMOR LOCALIZATION; TUMOR VOLUME;

DIAGNOSTIC ERRORS; LUNG NEOPLASMS; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33645115231     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2391041453     Document Type: Article

References (15)

1. Schwartz LH, Ginsberg MS, DeCorato D, et al. Evaluation of tumor measurements in oncology: use of film-based and electronic techniques. J Clin Oncol 2000;18:2179-2184.
2. Revel MP, Bissery A, Bienvenu M, Aycard L, Lefort C, Frija G. Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable? Radiology 2004;231:453-458.
3. Erasmus JJ, Glaclish GW, Broemeling L, et al. Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. J Clin Oncol 2003;21:2574-2582.
4. Yankelevitz DF, Gupta R, Zhao B, Henschke CT. Small pulmonary nodules: evaluation with repeat CT-preliminary experience. Radiology 1999;212:561-566.
5. Ko JP, Rusinek H, Jacobs E, et al. Volume measurement of small pulmonary nodules on chest CT: a phantom study. Radiology 2003;228:864-870.
6. Jennings SG, Winer-Muram HT, Tarver RD, Farber MO. Lung tumor growth: assessment with CT-comparison of diameter and cross-sectional area with volume measurements. Radiology 2004;231:866-871.
7. Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, Henschke CI. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation, Radiology 2000;217:251-256.
8. Revel MP, Lefort C, Bissery A, et al. Pulmonary nodules; preliminary experience with three-dimensional evaluation. Radiology 2004;231:459-466.
9. Kostis WJ, Yankelevitz DF, Reeves AP, Fluture SC, Henschke CI. Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT. Radiology 2004;231:446-452.
10. Kostis WJ, Reeves AP, Yankeleviu DF, Henschke CI. Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. IEEE Trans Med Imaging 2003;22:1259-1274.
11. Zhao B, Yankelevitz D, Reeves A, Heuschke C. Two-dimensional multi-criterion segmentation of pulmonary nodules on helical CT images. Med Phys 1999;26:889-895.
12. Beer AJ, Kohl G, Schaller S, Rummeny EJ. Automated voliimetry of small pulmonary nodules with MSCT: influence of nodule-shape, scan- and reconstruction-parameters on reproducibility [abstr]. Radiology 2002;225(P):255-256.
13. Fraser RS, Muller NL, Colman N, Pare PD. Fraser and Pare's diagnosis of diseases of the chest. Philadelphia, Pa: Saunders. 1999.
14. Zhao B, Reeves AP, Yankelevitz DF, Herischke CI. Three-dimensional multicriterion automatic segmentation of pulmonary nodules of helical computed tomography images. Opt ling 1999;38:1340-1347.
15. McCullough EC, Morin RL. CT-number variability in thoracic geometry. AJR Am J Roentgenol 1983;141:135-140.