Somatostatin receptor scintigraphy in pituitary adenomas: A somatostatin receptor density index can predict hormonal and tumoral efficacy of octreotide in vivo
M. Duet et al., Somatostatin receptor scintigraphy in pituitary adenomas: A somatostatin receptor density index can predict hormonal and tumoral efficacy of octreotide in vivo, J NUCL MED, 40(8), 1999, pp. 1252-1256
Citations number
30
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
Previous studies have failed to predict somatostatin analog response with s
omatostatin receptor scintigraphy in pituitary adenomas. In vitro studies h
ave shown that the density of somatostatin receptors in pituitary tumors mi
ght be critical for octreotide response. Methods: The density of somatostat
in receptors was calculated in vivo combining the uptake index obtained fro
m somatostatin receptor scintigraphy and the tumor volume obtained by MRI.
The ratio of these two values, called density index (DI), was established i
n 32 of 37 consecutive patients with pituitary adenomas (11 had growth horm
one-secreting adenomas, 4 thyroid-stimulating hormone-secreting and 17 nonf
unctioning). It was compared with hormonal response, assessed in 15 secreti
ng adenomas on growth hormone or thyroid stimulating hormone suppression (w
hich was considered significant when it reached at least 50% of basal level
), and with tumor shrinkage (which was considered significant when greater
than or equal to 20% of pretherapeutic value) in 12 secreting and 14 nonfun
ctioning adenomas. Results: In agreement with previous reports, uptake inde
x is not predictive of octreotide response. In contrast, DI predicts both h
ormonal suppression and tumor shrinkage (P = 0.009 and P = 0.0002, respecti
vely) obtained with octreotide therapy. DI sensitivity specificity and accu
racy were 92% each, and a positive correlation was found between DI and the
percentage of tumor shrinkage (r = 0.54, P = 0.004). Conclusion: The combi
nation of scintigraphic and MRI data allows the computation of a DI for som
atostatin receptors that points out patients who can profit from somatostat
in analog treatment.