Role of 99mTc-HYNIC-Tyr3-octreotide scintigraphy in neuroendocrine tumors based on localization of the primary tumor.

BACKGROUND: The aim of our work was to determine the accuracy of 99mTc-HYNIC Tyr3 octreotide scintigraphy (TcOS) in detecting active disease in neuroendocrine tumors (NETs) based on embryological origin of the primary tumor (foregut, midgut or hindgut). METHODS: We analyzed retrospectively 45 studies (12 staging, 26 suspicion of recurrence, and 7 treatment response) belonging to 33 patients with histological confirmation of NETs. Whole body scan and a SPECT-CT were acquired 4 hours post-injection of 740 MBq of 99mTc-HYNIC Tyr3 octreotide. The studies were divided into 3 groups based on the embryological origin of primary tumor (foregut [group 1], midgut [group 2] and hindgut [group 3]). The accuracy of TcOS in each group was assessed, included chi-square analyses. The final diagnosis was established by histopathology or clinical/radiological follow-up greater than 6 months. RESULTS: The localization of the primary tumor per patient revealed that 58% were from the foregut, 30% from the midgut and 12% from the hindgut. In study-based analysis (45 studies), TcOS showed an overall sensitivity, specificity and accuracy of 95%, 92% and 93% respectively. The accuracy per studies for the groups 1, 2 and 3 were: 100%, 92% and 66% respectively, demonstrating a better detection of active disease in primary tumors from foregut and midgut compared to hindgut (P=0.02). CONCLUSIONS: The accuracy of TcOS in the assessment of NETs seems to be better in tumors with foregut and midgut origin, showing a possible relationship between the embryological origin of NETs and detection of active disease by TcOS.

(18)F-FDG-PET/CT in the assessment of pulmonary solitary nodules: comparison of different analysis methods and risk variables in the prediction of malignancy.

OBJECTIVE: To compare the diagnostic performance of different metabolical, morphological and clinical criteria for correct presurgical classification of the solitary pulmonary nodule (SPN). METHODS: Fifty-five patients, with SPN were retrospectively analyzed. All patients underwent preoperative (18)F-fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT). Maximum diameter in CT, maximum standard uptake value (SUVmax), histopathologic result, age, smoking history and gender were obtained. Different criteria were established to classify a SPN as malignant: (I) visually detectable metabolism, (II) SUVmax >2.5 regardless of SPN diameter, (III) SUVmax threshold depending of SPN diameter, and (IV) ratio SUVmax/diameter greater than 1. For each criterion, statistical diagnostic parameters were obtained. Receiver operating characteristic (ROC) analysis was performed to select the best diagnostic SUVmax and SUVmax/diameter cutoff. Additionally, a predictive model of malignancy of the SPN was derived by multivariate logistic regression. RESULTS: Fifteen SPN (27.3%) were benign and 40 (72.7%) malignant. The mean values ± standard deviation (SD) of SPN diameter and SUVmax were 1.93±0.57 cm and 3.93±2.67 respectively. Sensitivity (Se) and specificity (Sp) of the different diagnostic criteria were (I): 97.5% and 13.1%; (II) 67.5% and 53.3%; (III) 70% and 53.3%; and (IV) 85% and 33.3%, respectively. The SUVmax cut-off value with the best diagnostic performance was 1.95 (Se: 80%; Sp: 53.3%). The predictive model had a Se of 87.5% and Sp of 46.7%. The SUVmax was independent variables to predict malignancy. CONCLUSIONS: The assessment by semiquantitative methods did not improve the Se of visual analysis. The limited Sp was independent on the method used. However, the predictive model combining SUVmax and age was the best diagnostic approach.