Harald Lahner

UNLABELLED: Radiolabeled somatostatin analogs represent valuable tools for both in vivo diagnosis and therapy of neuroendocrine tumors (NETs) because of the frequent tumoral overexpression of somatostatin receptors (sst). The 2 compounds most often used in functional imaging with PET are (68)Ga-DOTATATE and (68)Ga-DOTATOC. Both ligands share a quite similar sst binding profile. However, the in vitro affinity of (68)Ga-DOTATATE in binding the sst subtype 2 (sst2) is approximately 10-fold higher than that of (68)Ga-DOTATOC. This difference may affect their efficiency in the detection of NET lesions because it is the sst2 that is predominantly overexpressed in NET. We thus compared the diagnostic value of PET/CT with both radiolabeled somatostatin analogs ((68)Ga-DOTATATE and (68)Ga-DOTATOC) in the same NET patients. METHODS: Forty patients with metastatic NETs underwent (68)Ga-DOTATOC and (68)Ga-DOTATATE PET/CT as part of the work-up before prospective peptide receptor radionuclide therapy. The performance of both imaging methods was analyzed and compared for the detection of individual lesions per patient and for 8 defined body regions. A region was regarded positive if at least 1 lesion was detected in that region. In addition, radiopeptide uptake in terms of the maximal standardized uptake value (SUVmax) was compared for concordant lesions and renal parenchyma. RESULTS: Seventy-eight regions were found positive with (68)Ga-DOTATATE versus 79 regions with (68)Ga-DOTATOC (not significant). Overall, however, significantly fewer lesions were detected with (68)Ga-DOTATATE than with (68)Ga-DOTATOC (254 vs. 262, P < 0.05). Mean (68)Ga-DOTATATE SUVmax across all lesions was significantly lower than (68)Ga-DOTATOC (16.0 ± 10.8 vs. 20.4 ± 14.7, P < 0.01). Mean SUVmax for renal parenchyma was not significantly different between (68)Ga-DOTATATE and (68)Ga-DOTATOC (12.7 ± 3.0 vs. 13.2 ± 3.3). CONCLUSION: (68)Ga-DOTATOC and (68)Ga-DOTATATE possess a comparable diagnostic accuracy for the detection of NET lesions, with (68)Ga-DOTATOC having a potential advantage. The approximately 10-fold higher affinity for the sst2 of (68)Ga-DOTATATE does not prove to be clinically relevant. Quite unexpectedly, SUVmax of (68)Ga-DOTATOC scans tended to be higher than their (68)Ga-DOTATATE counterparts.

The aim of the study was to evaluate the diagnostic value of the human CRH test and the basal morning serum cortisol for the diagnosis of adrenal insufficiency. Putative peak cortisol cut points for the CRH test and basal cortisol cut points were determined by receiver operating characteristic (ROC) analysis with the insulin tolerance test as reference test. Fifty-four patients with suspected hypothalamic-pituitary-adrenal disease were tested. In 20 healthy controls, CRH led to a mean peak cortisol of 594.8 +/- 21.7 nmol/liter. The lower limit of a normal response was calculated as 400 nmol/liter. ROC analysis of peak cortisol levels during CRH testing of patients with suspected hypothalamic-pituitary-adrenal disease suggested an optimal peak cortisol cut point of < or 377 nmol/liter for the diagnosis of adrenal insufficiency and a 96% specificity but poor sensitivity of 76%. The baseline cortisol in the healthy control group showed a mean of 439.3 +/- 24.9 nmol/liter, resulting in a lower limit of 267 nmol/liter. ROC analysis of patients suggested the highest accuracy for basal cortisol levels of 285 nmol/liter or more for the diagnosis of adrenal insufficiency (100% sensitivity and 61% specificity). Within this patient group, a cortisol of more than 98 nmol/liter excluded adrenal insufficiency among those without the disorder, yielding 100% specificity. Using these criteria of upper (285 nmol/liter) and lower (98 nmol/liter) cut-off points with high sensitivity and specificity can reduce the number of individuals who need provocative tests. Basal cortisol is less expensive, and we therefore suggest to use it as a first-line test of adrenal insufficiency. Because of the low sensitivity of the human CRH test, we do not recommend it as a second test.

Data on cardiovascular risk in acromegaly are scanty and lack a clear correlation to epidemiological data.Our aim was an evaluation of cardiovascular risk factors in patients with active acromegaly, a calculation of the Framingham risk score (FRS) compared with age- and gender-matched controls of the general population, and an evaluation of the effect of IGF-I normalization.We conducted a retrospective, comparative study at a university referral center.A total of 133 patients with acromegaly (65 men, aged 45-74 yr) from the German Pegvisomant Observational Study were matched to 665 controls from the general population.Risk factors were measured at baseline and after 12 months of treatment with pegvisomant (n=62).Patients with acromegaly had increased prevalence of hypertension, mean systolic and diastolic blood pressure (BP), history of diabetes mellitus and glycosylated hemoglobin (all P<0.001) and decreased high-density lipoprotein, low-density lipoprotein, and total cholesterol (all P<0.001). FRS was significantly higher in patients with acromegaly compared with controls (P<0.001). At 12 months, systolic BP (P=0.04) and glycosylated hemoglobin (P=0.02) as well as FRS (P=0.005) decreased significantly. IGF-I was normalized in 62% (41 of 62). In these patients, glucose and systolic and diastolic BP was significantly lower than in partially controlled patients.We found an increased prevalence of cardiovascular risk factors in acromegalic patients compared with controls. Control of acromegaly led to a significant decrease of FRS, implying a reduced risk for coronary heart disease. This was most significant in those patients who completely normalized their IGF-I levels.Disease control is important to reduce the likelihood for development of coronary heart disease.

OBJECTIVE: Insulin resistance (IR) and obesity are common features of the polycystic ovary syndrome (PCOS). Insulin-sensitizing agents have been shown to improve both reproductive and metabolic aspects of PCOS, but it remains unclear whether it is also beneficial in lean patients without pre-treatment IR. The aim of this study was to determine the influence of metformin on the clinical and biochemical parameters of PCOS irrespective of the presence of basal obesity and IR. DESIGN: The effect of 6 months of metformin treatment was prospectively assessed in 188 PCOS patients, divided into three groups according to body mass index (BMI; lean: BMI<25 kg/m2, overweight: BMI 25-29 kg/m2, and obese: BMI30 kg/m2). Outcome parameters, which were also assessed in 102 healthy controls, included body weight, homeostasis model assessment for IR (HOMA-IR), fasting glucose and insulin levels, area under the curve of insulin response (AUCI), hyperandrogenism, and menstrual irregularities. RESULTS: In comparison with the respective BMI-appropriate control groups, only obese but not lean and overweight PCOS patients showed differences in fasting insulin and HOMA-IR. Metformin therapy significantly improved all outcome parameters except fasting glucose levels. Subgroup analyses revealed that in the group of lean PCOS patients without pre-treatment IR, metformin significantly improved HOMA-IR (1.7+/-1.0 vs 1.1+/-0.7 micromol/lxmmol/l2) and fasting insulin levels (7.7+/-4.2 vs 5.4+/-3.9 mU/l), in addition to testosterone levels (2.6+/-0.9 vs 1.8+/-0.7 nmol/l), anovulation rate (2.3 vs 59.5%), and acne (31.8 vs 11.6%; all P<0.017). In the overweight and obese PCOS groups, metformin also showed the expected beneficial effects. CONCLUSION: Metformin improves parameters of IR, hyperandrogenemia, anovulation, and acne in PCOS irrespective of pre-treatment IR or obesity.