There is a newer version of the record available.

Published August 2021 | Version v1
Journal article Metadata-only

Prediction of non-functioning pancreatic neuroendocrine tumor grades with fractal analysis of preoperative contrast-enhanced computed tomography images

Creators

  • 1. Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143 (Japan)
  • 2. Department of Frontier Surgery, Chiba University Hospital, 1-8-1 Inohana, Chiba 260-8677 (Japan)

Description

Highlights: • Intra-tumoral heterogeneity of PNETs could be quantified with fractal analysis. • Fractal analysis of preoperative CE-CT could predict grades of PNETs. • Fractal analysis of CE-CT could help in choosing treatment options for patients. To assess intra-tumoral heterogeneity (ITH) via fractal analysis of preoperative contrast-enhanced computed tomography (CT) images to predict pathological grades in non-functioning pancreatic neuroendocrine tumors (NF-PNETs) and verify its impact on patient survival.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2021.109803

Additional details

Identifiers

DOI
10.1016/j.ejrad.2021.109803;
PII
S0720048X21002849;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
141
Journal Page Range
vp.
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54001692
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
COMPUTERIZED TOMOGRAPHY; IMAGES; NEOPLASMS; PANCREAS; PATIENTS
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DIGESTIVE SYSTEM; DISEASES; ENDOCRINE GLANDS; GLANDS; ORGANS; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2021 The Authors. Published by Elsevier B.V.