Endokrine und neuroendokrine Tumoren

Riss, Philipp; Scheuba, Katharina; Strobel, Oliver

doi:10.1007/s00104-021-01512-8

Cited by 1 publication

(1 citation statement)

References 36 publications

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“…In fact, RTVsstr reflects better than SUVmax the aggregated GEP-NET pathological features such as the degree of cellularity of lesions, the number of neoplastic cells, the degree of SSTR expression and the various histological architecture that may include trabeculae, nests, glandular formation, gyriform, and pseudorosettes. [29][30][31] Indeed, in this set-up the endoscopic ultrasound holds a prognostic value for stratifying NET patients with solid pancreatic lesions, detecting malignancy-related features as well as identifying the tumor grading reliably. 32,33 The abovementioned characteristics of NETs can lead to pitfalls when considering only the SUVmax.…”

Section: Discussionmentioning

confidence: 99%

Ga-68-Edotreotide Positron Emission Tomography/Computed Tomography Somatostatin Receptors Tumor Volume Predicts Outcome in Patients With Primary Gastroenteropancreatic Neuroendocrine Tumors

et al. 2023

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Background We retrospectively aimed to assess the prognostic significance of somatostatin receptor (SSTR) standardized uptake value (SUVmaxsstr), SSTR representative tumor volume (RTVsstr) and total lesion SSTR expression (TLsstr) obtained by [68Ga]Ga-edotreotide PET/CT ([68Ga]Ga-SSTR PET/CT) in patients with primary gastroenteropancreatic neuroendocrine tumors (GEP-NET) before surgery. Material and Methods We analyzed patients who underwent [68Ga]Ga-SSTR PET/CT 3-6 weeks before surgery from February 2020 to April 2022. The mean SUVmaxsstr value, the RTVsstr (cm3; 42% threshold) and the TLsstr (g) were registered. Thereafter the patients were followed up 10.3 months (range 3-27). The PET/CT results were compared to the event free survival (EFS). Results Forty-two patients (61 ± 13 years) have been enrolled. At multivariate analysis only RTVsstr values were predictive. The Kaplan-Meier survival analysis for RTVsstr showed a significant better EFS in patients presenting lower values as compared to those having greater ( P = .003, log-rank test). SUVmaxsstr was not suitable for predicting EFS, TLsstr mildly. Conclusion RTVsstr represents a valuable volumetric parameter able to predict the outcome in GEP-NET patients who underwent surgery. The magnitude of the SSTR representative tumor burden holds a predominant value for determining the response to therapy in GEP-NET patients before surgery, rather than the maximal SSTR representation at single voxel.

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