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Pre-therapy Somatostatin-Receptor-Based Heterogeneity Predicts Overall Survival in Pancreatic Neuroendocrine Tumor Patients Undergoing Peptide Receptor Radionuclide Therapy

Please always quote using this URN: urn:nbn:de:bvb:20-opus-164624
  • Purpose: Early identification of aggressive disease could improve decision-support in pancreatic neuroendocrine tumor (pNET) patients prior to peptide receptor radionuclide therapy (PRRT). The prognostic value of intratumoral textural features (TF) determined by baseline somatostatin receptor (SSTR)-PET before PRRT was analyzed. Procedures: 31 patients with G1/G2 pNET were enrolled (G2, n=23/31). Prior to PRRT with [\(^{177}\)Lu]DOTATATE (mean, 3.6 cycles), baseline SSTR-PET/CT was performed. By segmentation of 162 (median per patient, 5)Purpose: Early identification of aggressive disease could improve decision-support in pancreatic neuroendocrine tumor (pNET) patients prior to peptide receptor radionuclide therapy (PRRT). The prognostic value of intratumoral textural features (TF) determined by baseline somatostatin receptor (SSTR)-PET before PRRT was analyzed. Procedures: 31 patients with G1/G2 pNET were enrolled (G2, n=23/31). Prior to PRRT with [\(^{177}\)Lu]DOTATATE (mean, 3.6 cycles), baseline SSTR-PET/CT was performed. By segmentation of 162 (median per patient, 5) metastases, intratumoral TF were computed. The impact of conventional PET parameters (SUV\(_{mean/max}\)), imaging-based TF as well as clinical parameters (Ki67, CgA) for prediction of both progression-free (PFS) and overall survival (OS) after PRRT was evaluated. Results: Within a median follow-up of 3.7y, tumor progression was detected in 21 patients (median, 1.5y) and 13/31 deceased (median, 1.9y). In ROC analysis, the TF Entropy, reflecting derangement on a voxel-by-voxel level, demonstrated predictive capability for OS (cutoff=6.7, AUC=0.71, p=0.02). Of note, increasing Entropy could predict a longer survival (>6.7, OS=2.5y, 17/31), whereas less voxel-based derangement portended inferior outcome (<6.7, OS=1.9y, 14/31). These findings were supported in a G2 subanalysis (>6.9, OS=2.8y, 9/23 vs. <6.9, OS=1.9y, 14/23). Kaplan-Meier analysis revealed a significant distinction between high- and low-risk groups using Entropy (n=31, p<0.05). For those patients below the ROC-derived threshold, the relative risk of death after PRRT was 2.73 (n=31, p=0.04). Ki67 was negatively associated with PFS (p=0.002); however, SUVmean/max failed in prognostication (n.s.). Conclusions: In contrast to conventional PET parameters, assessment of intratumoral heterogeneity demonstrated superior prognostic performance in pNET patients undergoing PRRT. This novel PET-based strategy of outcome prediction prior to PRRT might be useful for patient risk stratification.show moreshow less

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Metadaten
Author: Rudolf A. Werner, Harun Ilhan, Sebastian Lehner, László Papp, Norbert Zsótér, Imke Schatka, Dirk O. Muegge, Mehrbod S. Javadi, Takahiro Higuchi, Andreas K. Buck, Peter Bartenstein, Frank Bengel, Markus Essler, Constantin Lapa, Ralph A. Bundschuh
URN:urn:nbn:de:bvb:20-opus-164624
Document Type:Preprint
Faculties:Medizinische Fakultät / Klinik und Poliklinik für Nuklearmedizin
Language:English
Parent Title (English):Molecular Imaging and Biology
ISSN:1536-1632
Year of Completion:2018
Source:Molecular Imaging and Biology (2018). https://doi.org/10.1007/s11307-018-1252-5
URL:https://link.springer.com/article/10.1007/s11307-018-1252-5
DOI:https://doi.org/https://doi.org/10.1007/s11307-018-1252-5
Sonstige beteiligte Institutionen:Johns Hopkins School of Medicine
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
GND Keyword:Positronen-Emissions-Tomografie
Tag:PET; PET/CT; Pancreas; SSTR; [177Lu]-DOTATATE/-DOTATOC; [68Ga]; neuroendocrine tumor; tumor heterogeneity
Release Date:2018/07/17
Embargo Date:2019/07/16
EU-Project number / Contract (GA) number:701983
OpenAIRE:OpenAIRE
Note:
This is a post-peer-review, pre-copyedit version of an article published in Molecular Imaging and Biology. The final authenticated version is available online at: http://dx.doi.org/s11307-018-1252-5
Note:
Die finale Version dieses Artikels steht unter https://doi.org/10.1007/s11307-018-1252-5 bzw. http://nbn-resolving.org/urn:nbn:de:bvb:20-opus-167168 open access zur Verfügung.
Licence (German):License LogoDeutsches Urheberrecht