Differentiation of multiple myeloma and metastases with apparent diffusion coefficient map histogram analysis

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Multiple myeloma and bone metastases present similar radiological findings, complicating differentiation.
• Accurate distinction is crucial for appropriate patient management and treatment strategies.

Purpose of the Study:

• To evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis derived from diffusion-weighted imaging (DWI) in differentiating multiple myeloma from bone metastases.
• To assess the diagnostic performance of ADC histogram parameters in distinguishing these two conditions.

Main Methods:

• Twenty patients with multiple myeloma and 20 with bone metastases underwent 3T MRI with DWI.
• Apparent diffusion coefficient (ADC) maps were generated, and histogram analysis was performed on enhancing nodular bone lesions.
• Various histogram parameters, including mean, standard deviation, and entropy, were measured and compared between groups.

Main Results:

• Significant differences were observed in mean, minimum, median, maximum, standard deviation, and variance values between multiple myeloma and metastasis groups (p<0.001).
• Receiver operating characteristic (ROC) analysis of the mean ADC value demonstrated an area under the curve of 1.000.
• A threshold mean ADC value of 766.076 achieved 100% sensitivity and 100% specificity for differentiating the two conditions.

Conclusions:

• ADC histogram analysis is a valuable, non-invasive tool for differentiating multiple myeloma from bone metastases.
• This imaging technique offers high diagnostic accuracy, aiding in clinical decision-making for patients with bone marrow lesions.