Updated Trends in Imaging Practices for Pancreatic Neuroendocrine Tumors (PNETs): A Systematic Review and Meta-Analysis to Pave the Way for Standardization in the New Era of Big Data and Artificial Intelligence
| Autor: | Laura Rozenblum, Laurent Dercle, Fatima-Zohra Mokrane, Nicolas Carrere, Randy Yeh, Lawrence Dierickx, Hervé Rousseau, Thomas Eche, Ephraim Partouche, Rosine Guimbaud |
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| Přispěvatelé: | CHU Toulouse [Toulouse], Memorial Sloane Kettering Cancer Center [New York], Service de médecine nucléaire [CHU Pitié-Salpétrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Claudius Regaud, Service de Radiologie [Rangueil / Larrey], CHU Toulouse [Toulouse]-Hôpital de Rangueil, Institut Gustave Roussy (IGR) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cancer Research
Standardization MEDLINE [SDV.CAN]Life Sciences [q-bio]/Cancer Neuroendocrine tumors Cochrane Library computed tomogaphy 030218 nuclear medicine & medical imaging pancreatic neuroendocrine tumors (pNETs) 03 medical and health sciences 0302 clinical medicine systematic review Medical imaging Medicine RC254-282 Protocol (science) Modality (human–computer interaction) business.industry Neoplasms. Tumors. Oncology. Including cancer and carcinogens PET - positron emission tomography medicine.disease 3. Good health meta-analysis Oncology 030220 oncology & carcinogenesis Meta-analysis imaging practices Artificial intelligence business PET -positron emission tomography MRI |
| Zdroj: | Frontiers in Oncology Frontiers in Oncology, Frontiers, 2021, 11, ⟨10.3389/fonc.2021.628408⟩ Frontiers in Oncology, Vol 11 (2021) |
| ISSN: | 2234-943X |
| DOI: | 10.3389/fonc.2021.628408⟩ |
| Popis: | PurposeMedical imaging plays a central and decisive role in guiding the management of patients with pancreatic neuroendocrine tumors (PNETs). Our aim was to synthesize all recent literature of PNETs, enabling a comparison of all imaging practices.Methodsbased on a systematic review and meta-analysis approach, we collected; using MEDLINE, EMBASE, and Cochrane Library databases; all recent imaging-based studies, published from December 2014 to December 2019. Study quality assessment was performed by QUADAS-2 and MINORS tools.Results161 studies consisting of 19852 patients were included. There were 63 ‘imaging’ studies evaluating the accuracy of medical imaging, and 98 ‘clinical’ studies using medical imaging as a tool for response assessment. A wide heterogeneity of practices was demonstrated: imaging modalities were: CT (57.1%, n=92), MR (42.9%, n=69), PET/CT (13.3%, n=31), and SPECT/CT (9.3%, n=15). International imaging guidelines were mentioned in 2.5% (n=4/161) of studies. In clinical studies, imaging protocol was not mentioned in 30.6% (n=30/98) of cases and only mentioned imaging modality without further information in 63.3% (n=62/98), as compared to imaging studies (1.6% (n=1/63) of (pConclusionWe provide an overview of the updated current trends in use of medical imaging for diagnosis and response assessment in PNETs. The most commonly used imaging modalities are anatomical (CT and MRI), followed by PET/CT and SPECT/CT. Therefore, standardization and homogenization of PNETs imaging practices is needed to aggregate data and leverage a big data approach for Artificial Intelligence purposes. |
| Databáze: | OpenAIRE |
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