TY - JOUR
T1 - Diagnostic and management strategies for pNETs in Von Hippel-Lindau
T2 - a systematic review
AU - Ahmad, Saya
AU - Naber, Myrthe R
AU - Giles, Rachel H
AU - Valk, Gerlof D
AU - van Leeuwaarde, Rachel S
N1 - Publisher Copyright:
© 2021 Society for Endocrinology Published by Bioscientifica Ltd. Printed in Great Britain
PY - 2021/3
Y1 - 2021/3
N2 - Pancreatic neuroendocrine tumors (pNETs) in Von Hippel-Lindau (VHL) disease have a relatively good prognosis. However, a subset of pNETs metastasize and significantly contribute to VHL-related mortality. Evidence-based guidelines are needed for timely detection, management and intervention of these tumors. However, the value of several diagnostic tools is controversial, and evidence-based management strategies are lacking. This systematic review aims to update current literature on diagnostic and management strategies of pNETs in VHL and proposes evidence-based recommendations. The databases of PubMed/Medline, Embase and Web of Science were systematically searched to identify relevant studies. Studies were screened independently and cross-checked by two authors to assess eligibility for inclusion. Eighty-four articles were eligible for full text reading, and thirteen were critically appraised using the modified Quality Assessment of Diagnostic Accuracy Studies or modified Quality in Prognostic Studies tool. Six studies assessed the diagnostic value of imaging modalities, five focused on the optimal timing for surgical intervention, and one article studied the growth rate of pNETs. Quality of the available evidence was determined using the Grading of Recommendations, Assessment, Development and Evaluations tool. Studies recommended CT or MRI as the primary screening modalities for pNETs. For detection of metastases, 68Gallium-DOTATATE/TOC PET/CT is advised. For pNETs <2 cm a watch-and-wait approach is recommended, while for pNETs ≥2.5 cm surgical resection is advised. Due to limited data, no strong recommendations on surveillance could be proposed.
AB - Pancreatic neuroendocrine tumors (pNETs) in Von Hippel-Lindau (VHL) disease have a relatively good prognosis. However, a subset of pNETs metastasize and significantly contribute to VHL-related mortality. Evidence-based guidelines are needed for timely detection, management and intervention of these tumors. However, the value of several diagnostic tools is controversial, and evidence-based management strategies are lacking. This systematic review aims to update current literature on diagnostic and management strategies of pNETs in VHL and proposes evidence-based recommendations. The databases of PubMed/Medline, Embase and Web of Science were systematically searched to identify relevant studies. Studies were screened independently and cross-checked by two authors to assess eligibility for inclusion. Eighty-four articles were eligible for full text reading, and thirteen were critically appraised using the modified Quality Assessment of Diagnostic Accuracy Studies or modified Quality in Prognostic Studies tool. Six studies assessed the diagnostic value of imaging modalities, five focused on the optimal timing for surgical intervention, and one article studied the growth rate of pNETs. Quality of the available evidence was determined using the Grading of Recommendations, Assessment, Development and Evaluations tool. Studies recommended CT or MRI as the primary screening modalities for pNETs. For detection of metastases, 68Gallium-DOTATATE/TOC PET/CT is advised. For pNETs <2 cm a watch-and-wait approach is recommended, while for pNETs ≥2.5 cm surgical resection is advised. Due to limited data, no strong recommendations on surveillance could be proposed.
KW - Age-related penetrance
KW - Biomarkers
KW - Imaging
KW - Pancreatic neuroendocrine tumors
KW - Von Hippel–Lindau
UR - http://www.scopus.com/inward/record.url?scp=85102964642&partnerID=8YFLogxK
U2 - 10.1530/ERC-20-0469
DO - 10.1530/ERC-20-0469
M3 - Review article
C2 - 33512331
SN - 1351-0088
VL - 28
SP - 151
EP - 160
JO - Endocrine-Related Cancer
JF - Endocrine-Related Cancer
IS - 3
ER -