Breast cancer is the most common cause of metastatic epidural spinal cord c
ompression (SCC) in women, and this condition results in significant neurol
ogic dysfunction and morbidity. Prior studies of patients with suspected SC
C did not employ multivariate analysis techniques, often included persons w
ith a wide variety of malignancies, and generally focused on identifying as
sociated neurologic and radiologic features. We therefore conducted a study
examining a more comprehensive set of potential clinical risk factors in b
reast cancer patients with suspected SCC.
We retrospectively analysed 123 episodes of suspected SCC among 93 breast c
ancer patients evaluated by spine computed tomography (CT) scanning. Multip
le logistic regression analysis was employed to identify independent predic
tors of SCC. Clinically significant metastatic epidural cancer was defined
as thecal sac compression (TSC), which occurred in 33 episodes (27%). Four
independent predictors of TSC were identified and included oncologic featur
es (known bone metastases greater than or equal to 2 years, metastatic dise
ase at initial diagnosis) in addition to neurologic and radiologic features
(objective weakness, vertebral compression fracture on spine radiograph).
These four predictors stratified episodes into subgroups with widely varyin
g risks of TSC, ranging from 12% (0 risk factors) to 85% (greater than or e
qual to 3 risk factors).
These results suggest that the evaluation of breast cancer patients with su
spected SCC should include clinical information about their disease course
in addition to neurologic examination and prior imaging studies. If confirm
ed, these predictors may help clinicians assess risk in this patient popula
tion.