Histological prognostic parameters for adenocarcinoma of the pancreatic head. Proposal for a scoring system for prediction of outcome

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

To find new histopathological prognostic parameters for adenocarcinoma of the pancreatic head, 27 of these carcinomas, at stage IV according to the Japan Pancreas Society, which had been curatively resected, were histologically examined. In addition to previously recognized histological prognostic parameters, sections were examined for the following factors: fibrotic focus (FF), direct invasion of the tumor into the lymph node (DILN), and tumor necrosis (TN). Frequency of tumor recurrence or death was higher in patients with any one of the three new factors than in those without any of these factors. To develop an accurate system for predicting the outcome, the presence or absence of each factor and lymphatic permeation was given a score of 1 (present) or 0 (absent), and the total score was than calculated for each patient. All patients with a score of 0 were alive without tumor recurrence, at a mean follow-up of 20 months, whereas all seven patients with a score of 4 had experienced tumor recurrence, and six died subsequently. The results of this study demonstrated that FF, DILN, and TN are good histological parameters of ductal adenocarcinoma of the pancreatic head, and that the scoring system proposed in this paper is useful for prediction of the outcome of the disease.

Original languageEnglish
Pages (from-to)441-448
Number of pages8
JournalJournal of Hepato-Biliary-Pancreatic Surgery
Volume4
Issue number4
DOIs
Publication statusPublished - 1997 Jan 1
Externally publishedYes

Keywords

  • Fibrotic focus
  • Histology
  • Pancreatic adenocarcinoma
  • Pancreaticoduodenectomy
  • Prognosis

ASJC Scopus subject areas

  • Surgery
  • Hepatology

Fingerprint

Dive into the research topics of 'Histological prognostic parameters for adenocarcinoma of the pancreatic head. Proposal for a scoring system for prediction of outcome'. Together they form a unique fingerprint.

Cite this