Lung Nodule Simulator
for Quantitative CT

The most effective imaging technique
for pulmonary nodules


Model 003

Features
• Higher diagnostic reliability
• Rapid answers to referring physicians and patients
• Extremely cost efficient
• Expanded utilization of existing CT capability
• No additional equipment required
• More efficient patient work-up
• Timely decision tool should surgery be indicated
• Most accurate, non-invasive method of evaluating pulmonary   nodules



The CIRS series of CT Lung Nodule simulators is fabricated from specially formulated tissue-equivalent materials and each part is individually tested before being molded in a 70 step, controlled process.

The reference nodules, derived from clinical experience, are submitted to stringent quality control procedures because they serve as the standard density above which calcification is considered to be present. Extensive certification procedures are followed for each phantom and for each of the fifteen reference nodules.

The diagnostic methodology that uses these phantoms was developed as a result of the pioneering research by Dr. Stanley Siegelman, Dr. Elias Zerhouni and their colleagues. The phantoms, themselves, were developed by CIRS in consultation with Dr. Zerhouni.

US Patent # 4,646,334


References:

1. Siegelman SS Zerhouni EA Leo FP, Khouri NF. Stitik FP CT of the solitary pulmonary nodule. AJR 135:1-13.1980.
2. Sagel SS. Lung pleura, pericardium and chest wall. In: Computed Body Tomography, ed. by JKT Lee. SS Sagel, RJ. Stanley, New York, Raven Press, 1983, pp 99-101.
3. Proto A.V.: CT Analysis of the pulmonary nodule presented at RSNA meeting—Chicago Nov. 14,1983.
4. Zerhouni EA, Spivey JF, Morgan RH, Leo FP, Stitik FP, Siegelman SS. Factors influencing quantitative CT measurements of solitary pulmonary nodules. J Comput Assist Tomogr 6:1075-1087,1982.
5. McCullough EC, Morin RL: CT number variability in thoracic geometry. AJR 141:135-140,1983.
6. Zerhouni EA, Boukadoum M, Siddiky MA, et al: A standard phantom for quantitative analysis of pulmonary nodules by Radiology 149: 767-773,1983.