PELVIC LESIONS IN PATIENTS WITH TREATED CERVICAL-CARCINOMA - EFFICACYOF PHARMACOKINETIC ANALYSIS OF DYNAMIC MR-IMAGES IN DISTINGUISHING RECURRENT TUMORS FROM BENIGN CONDITIONS
H. Hawighorst et al., PELVIC LESIONS IN PATIENTS WITH TREATED CERVICAL-CARCINOMA - EFFICACYOF PHARMACOKINETIC ANALYSIS OF DYNAMIC MR-IMAGES IN DISTINGUISHING RECURRENT TUMORS FROM BENIGN CONDITIONS, American journal of roentgenology, 166(2), 1996, pp. 401-408
OBJECTIVE. Dynamic MR image series were analyzed with a pharmacokineti
c two-compartment model. To preserve the spatial resolution of the dyn
amic MR images, the pharmacokinetic parameters were computed pixel by
pixel, color coded, and superimposed on conventional MR images (pharma
cokinetic mapping). The efficacies of pharmacokinetic mapping and conv
entional MR imaging in distinguishing between recurrent tumors and ben
ign conditions in patients who have pelvic lesions after treatment of
cervical carcinoma were compared. MATERIALS AND METHODS. Twenty-one wo
men with 24 suspected pelvic lesions and a history of treated cervical
carcinoma (stages IB-IIIA) were included in this study. Patients had
been treated before MR imaging with surgery or irradiation alone (eigh
t patients) or a combination of the two (13 patients). Patients were r
eferred because of findings from CT examinations and/or clinical exami
nations. Of 24 suspected lesions, 17 were histologically verified as t
umor recurrences and seven were classified as benign masses (histologi
cally diagnosed as fibrosis and granulation tissue). T1- and T2-weight
ed spin-echo images were interpreted by three observers. During and af
ter constant-rate infusion of gadopentetate dimeglumine, the kinetics
of lesion response were determined with a strongly T1-weighted saturat
ion recovery turbo-fast low-angle shot sequence. The signal-time curve
s for the suspected lesions were analyzed within the framework of a ph
armacokinetic two-compartment model and displayed as color-coded image
s. The calculated pharmacokinetic parameters (amplitude [A] and tissue
distribution time [t(21)]) were evaluated retrospectively to obtain o
ptimal threshold values for differentiating malignant lesions from ben
ign lesions. RESULTS. Analysis of the pharmacokinetic mapping data sho
wed significantly shorter (p < .005) and stronger (p < .001)contrast m
edium enhancement of malignant lesions (t(21),24 Sec; A, 1.5 arbitrary
units) than of benign lesions (t(21), 65 Sec; A,0.7), resulting in a
sensitivity of 100%, a specificity of 88%, and an accuracy of 96%. Int
erpretation of the lesions on conventional T2-weighted MR images resul
ted in a sensitivity of 90%, a specificity of 38%, and an accuracy of
74%. CONCLUSION. Analysis of color-coded pharmacokinetic maps is more
effective than conventional MR imaging in distinguishing between malig
nant and benign conditions in patients who have pelvic lesions after t
reatment of cervical carcinoma.