Validation of a prediction rule to maximize curative (R0) resection of early-stage pancreatic adenocarcinoma.
BACKGROUND
The surgeon's contribution to patients with localized pancreatic adenocarcinoma (PAC) is a margin negative (R0) resection. We hypothesized that a prediction rule based on pre-operative imaging would maximize the R0 resection rate while reducing non-therapeutic intervention.


METHODS
The prediction rule was developed using computed tomography (CT) and endoscopic ultrasound (EUS) data from 65 patients with biopsy-proven PAC who underwent attempted resection. The rule classified patients as low or high risk for non-R0 outcome and was validated in 78 subsequent patients.


RESULTS
MODEL VARIABLES WERE: any evidence of vascular involvement on CT; EUS stage and EUS size dichotomized at 2.6 cm. In the validation cohort, 77% underwent resection and 58% achieved R0 status. If only patients in the low-risk group underwent surgery, the prediction rule would have increased the resection rate to 92% and the R0 rate to 73%. The R0 rate was 40% higher in low-risk compared with high-risk patients (P < 0.001). High risk was associated with a 67% rate of non-curative surgery (unresectable disease and metastases).


CONCLUSIONS
The prediction rule identified patients most likely to benefit from resection for PAC using pre-operative CT and EUS findings. Model predictions would have increased the R0 rate and reduced non-therapeutic interventions.
Bao
Philip
P
Potter
Douglas
D
Eisenberg
David P
DP
Lenzner
Diana
D
Zeh
Herbert J
HJ
Lee Iii
Kenneth Kw
KK
Hughes
Steven J
SJ
Sanders
Michael K
MK
Young
Jennifer L
JL
Moser
A James
AJ