Abstract | BACKGROUND: This study aimed to identify that Yonsei criteria (YC) can be regarded as a preoperative clinical parameter to predict biological behavior of the left-sided pancreatic cancer. METHODS: Between June 2007 and December 2014, 135 patients who underwent minimally invasive (MIS) or open distal pancreatectomy for left-sided pancreatic cancer were enrolled in this study consecutively. Perioperative short-term and long-term oncologic outcomes were analyzed according to the YC retrospectively. RESULTS: Fifty-four and 81 patients did and did not meet the YC, respectively. Short-term oncologic outcomes were favorable among those meeting the YC even after propensity score matching. Patients within the YC also had better disease-free and disease-specific overall survival (p < 0.05). In analysis for receiver operating characteristic curve, area under curve of CA19-9 was satisfactory only within YC group. Multivariate analysis for disease-free survival identified the YC as a strong independent prognostic factor (p < 0.05). In preoperative clinical setting, patients' survival was clearly different based on following clinical groups, such as within YC, beyond YC, and unresectable. CONCLUSIONS: Preoperative CT-based determined YC can predict excellent short-term and long-term oncologic outcomes. YC might have a potential role as a preoperative clinical staging for left-sided pancreatic cancer. External validations of YC based on multicenter cohorts are mandatory to confirm this oncologic significance of YC.
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Authors | Sung Hwan Lee, Ho Kyoung Hwang, Chang Moo Kang, Woo Jung Lee |
Journal | Surgical endoscopy
(Surg Endosc)
Vol. 31
Issue 11
Pg. 4656-4664
(11 2017)
ISSN: 1432-2218 [Electronic] Germany |
PMID | 28389802
(Publication Type: Journal Article)
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Topics |
- Aged
- Cohort Studies
- Female
- Humans
- Male
- Middle Aged
- Neoplasm Recurrence, Local
(pathology)
- Pancreas
(pathology, surgery)
- Pancreatectomy
(adverse effects, methods)
- Pancreatic Neoplasms
(mortality, pathology, surgery)
- Patient Selection
- Prognosis
- Propensity Score
- Proportional Hazards Models
- ROC Curve
- Retrospective Studies
- Survival Rate
- Treatment Outcome
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