Simple and reliable determination of intravoxel incoherent motion parameters for the differential diagnosis of head and neck tumors.
Intravoxel incoherent motion (IVIM) imaging can characterize diffusion and perfusion of normal and diseased tissues, and IVIM parameters are authentically determined by using cumbersome least-squares method. We evaluated a simple technique for the determination of IVIM parameters using geometric analysis of the multiexponential signal decay curve as an alternative to the least-squares method for the diagnosis of head and neck tumors. Pure diffusion coefficients (D), microvascular volume fraction (f), perfusion-related incoherent microcirculation (D*), and perfusion parameter that is heavily weighted towards extravascular space (P) were determined geometrically (Geo D, Geo f, and Geo P) or by least-squares method (Fit D, Fit f, and Fit D*) in normal structures and 105 head and neck tumors. The IVIM parameters were compared for their levels and diagnostic abilities between the 2 techniques. The IVIM parameters were not able to determine in 14 tumors with the least-squares method alone and in 4 tumors with the geometric and least-squares methods. The geometric IVIM values were significantly different (p<0.001) from Fit values (+2 ± 4% and -7 ± 24% for D and f values, respectively). Geo D and Fit D differentiated between lymphomas and SCCs with similar efficacy (78% and 80% accuracy, respectively). Stepwise approaches using combinations of Geo D and Geo P, Geo D and Geo f, or Fit D and Fit D* differentiated between pleomorphic adenomas, Warthin tumors, and malignant salivary gland tumors with the same efficacy (91% accuracy = 21/23). However, a stepwise differentiation using Fit D and Fit f was less effective (83% accuracy = 19/23). Considering cumbersome procedures with the least squares method compared with the geometric method, we concluded that the geometric determination of IVIM parameters can be an alternative to least-squares method in the diagnosis of head and neck tumors.
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Miho
M
Sasaki
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Misa
M
Sumi
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Sato
S
Eida
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Ikuo
I
Katayama
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Yuka
Y
Hotokezaka
Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Nagasaki, Japan.
Takashi
T
Nakamura
D000235:Adenolymphoma / Q000175:diagnosis; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D003937:Diagnosis, Differential; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods* / Q000592:standards; D005260:Female; D006258:Head and Neck Neoplasms / Q000175:diagnosis*; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008875:Middle Aged; D009362:Neoplasm Metastasis; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012468:Salivary Gland Neoplasms / Q000175:diagnosis; D055815:Young Adult