Quantification of Cisplatin Using a Modified 3-Material Decomposition Algorithm at Third-Generation Dual-Source...

Area of Science:

• Medical Imaging
• Radiology
• Computational Imaging

Background:

• Accurate quantification of cisplatin concentration is crucial for treatment monitoring.
• Dual-energy computed tomography (DECT) offers potential for material-specific imaging.
• Developing algorithms for precise quantification of chemotherapy agents in vivo is an active research area.

Purpose of the Study:

• To evaluate the accuracy of third-generation dual-source dual-energy computed tomography (DECT) in quantifying cisplatin concentration.
• To assess the performance of a 3-material decomposition algorithm for differentiating cisplatin from iodine and agar.
• To determine if iodine concentration affects the accuracy of cisplatin quantification using DECT.

Main Methods:

• Agarose-based phantoms with varying concentrations of iodine and cisplatin were scanned using third-generation dual-source DECT.
• A 3-material decomposition algorithm was employed to generate a cisplatin-specific map.
• Computed tomography (CT) values from the cisplatin map were correlated with known cisplatin concentrations, and the influence of iodine was analyzed.

Main Results:

• Excellent interobserver agreement (interclass correlation coefficients = 0.941-0.995) was achieved for CT measurements on the cisplatin map.
• A significant and excellent positive correlation (ρ = 0.980) was found between CT values and cisplatin concentrations.
• The algorithm successfully identified low cisplatin concentrations (0.5 mg Pt/mL) in the presence of iodine, with no significant effect from iodine concentration (P = 0.297).

Conclusions:

• A cisplatin map generated by a 3-material decomposition algorithm enables accurate quantification of cisplatin concentration in phantoms.
• This DECT-based method is independent of co-present iodine, offering a potential tool for treatment assessment.
• The findings support the utility of advanced DECT algorithms for quantitative analysis of chemotherapeutic agents.