R. Cohen et al., Preoperative calcitonin levels are predictive of tumor size and postoperative calcitonin normalization in medullary thyroid carcinoma, J CLIN END, 85(2), 2000, pp. 919-922
Medullary thyroid carcinoma (MTC) is a calcitonin (CT)-secreting endocrine
tumor. Although plasma CT level is a specific and sensitive marker of MTC,
its preoperative usefulness in predicting tumor size and postoperative CT n
ormalization has not been documented. From a nationwide database set up by
the French CT Tumor Study Group, 226 MTC patients were selected according t
o the following criteria: preoperative CT level determination by an immunor
adiometric assay (normal value, < 10 pg/mL) within the 6 months prior to su
rgery, total thyroidectomy and diagnosis of MTC ascertained by histological
report including tumor size. Patients were 129 females and 97 males (femal
e/male ratio, 1.3). One hundred and twelve patients (49.6%) had the sporadi
c variety of the disease, 74 (32.7%) had multiple endocrine neoplasia 2A, t
hree (1.3%) had multiple endocrine neoplasia 2B, and 37 (16.4%) had familia
l MTC. Median age at diagnosis was 44.8 yr (range, 4.9-80.1 yr). Complete n
eck dissection was performed in 159 patients (70.4%). Postoperative CT norm
alization was ascertained by negative response of CT to pentagastrin stimul
ation (< 10 pg/mL) in 94 patients. Seventy-one patients were considered as
not cured because of residual tumor tissue and/or elevated CT levels. Media
n tumor size was 11.0 mm (range, 0.2-80.0 mm), significantly larger in fema
les (15.0 vs. 8.0 mm, P < 0.05), and in sporadic forms (15.0 vs. 7.0 mm, P
< 0.05). Tumor size was significantly correlated (r(2) = 0.52, P < 0.01) wi
th preoperative CT levels, the relationship being more straight in familial
(r2 = 0.71) than in sporadic (r(2) = 0.36) forms. Furthermore, preoperativ
e CT levels under 50 pg/mL appeared to be predictive of postoperative CT no
rmalization (44 of 45 patients). However, higher CT levels did not mean abs
ence of postoperative CT normalization (50 of 120 patients). We conclude th
at low preoperative CT levels are predictive of tumor size and postoperativ
e CT normalization.