Abstract 5035
Background
Although pancreatic cancer has irregular shape in three-dimensional (3D), when T staging by imaging, only the axial plane is generally used to measure the largest diameter of the mass. We analysed the size of the pancreatic cancer from multi-plane and 3D reconstructed CT images and investigated their clinical usefulness.
Methods
Patients who underwent surgery for pancreatic adenocarcinoma from 2009 to 2016 were included in this study. We measured the largest diameter of pancreatic cancer in axial, coronal, and sagittal planes of CT. In addition, semi-automated segmentation was performed and three-dimensional (3D) maximal diameter and cancer volume were obtained. The obtained data were compared with the actual pathology report and the effect of each value on prognosis was analyzed by receiver operating characteristics (ROC) curves.
Results
A total of 183 patients were analyzed. The maximal pathologic diameter of cancer was 3.4 ± 1.4 cm and median survival was 18.1 months. The maximal diameters measured in axial, coronal, and sagittal planes were 2.9 ± 1.1, 3.2 ± 1.0, and 3.2 ± 0.9, respectively, which were significantly smaller than pathologic data (all p < 0.05 by paired T test). The longest diameter among measured on the 3 planes (3.4 ± 1.1) were not significantly different from that of pathologic report and maximal diameter from 3D image (3.8 ± 1.3) was larger than pathologic diameter. Cancer volume demonstrated the higher area under the ROC curve [0.714, (95% confidence interval: 0.640-0.788)] in predicting early death within 18 months than any measured diameter.
Conclusions
The diameter of pancreatic cancer needs to be measured on all of axial, coronal, and sagittal planes of CT. Cancer volume had a stronger correlation with overall survival than cancer diameter.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
The National Research Foundation of Korea.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5458 - Baseline characteristics from CLARINET FORTE: Evaluating lanreotide autogel (LAN) 120 mg every 14 days in patients with progressive pancreatic or midgut neuroendocrine tumours during a standard first-line LAN regimen.
Presenter: Philippe Ruszniewski
Session: Poster Display session 2
Resources:
Abstract
1234 - Analysis of PD-1/PD-L1 blockade biomarker and immune infiltrates in Gastroenteropancreatic neuroendocrine carcinoma
Presenter: Jia Zhang Xing
Session: Poster Display session 2
Resources:
Abstract
1517 - Diabetes Is Associated With Pancreatic Neuroendocrine Tumors Growth and Metastasis
Presenter: Zhiyao Fan
Session: Poster Display session 2
Resources:
Abstract
2145 - Investigation of the reclassification of G1/G2 pancreatic neuroendocrine neoplasms by WHO 2017 classification
Presenter: Takahiro Yokose
Session: Poster Display session 2
Resources:
Abstract
3134 - Treatment with somatostatin analogues after radiopeptide therapy
Presenter: Daria Handkiewicz Junak
Session: Poster Display session 2
Resources:
Abstract
2191 - Safety and Tolerability of Surufatinib in Western Patients with Solid Tumors
Presenter: Erika Hamilton
Session: Poster Display session 2
Resources:
Abstract
3253 - The impact of tumour absorbed dosimetry with survival outcomes after peptide receptor radionuclide therapy in metastatic neuroendocrine tumours.
Presenter: Rahul Ladwa
Session: Poster Display session 2
Resources:
Abstract
3581 - Opportunist and Serious Infections in Patients with Neuroendocrine Tumors Treated With Everolimus: A Multicenter Study of Real World Patients
Presenter: Carine Mauro
Session: Poster Display session 2
Resources:
Abstract
5374 - Establishment of Prognostic Nomogram Based on the Metastatic Lymph Nodes Ratio for Patients with Gastric Neuroendocrine Tumour
Presenter: yaobin lin
Session: Poster Display session 2
Resources:
Abstract
3951 - Neutrophil-lymphocyte ratio as an independent predictive factor in Neuroendocrine Neoplasms
Presenter: Sofia Ferreira
Session: Poster Display session 2
Resources:
Abstract