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Volume 4

Clinical Pediatric Dermatology

ISSN: 2472-0143

Page 55

JOINT EVENT

Wound Congress 2018 &

Clinical Dermatology Congress 20

18

October 15-16, 2018

October 15-16, 2018 Rome, Italy

&

5

th

International Conference on

Advances in Skin, Wound Care and Tissue Science

14

th

International Conference on

Clinical Dermatology

Development and multicentre validation of a prognostic model to predict resectability of pancreatic

head malignancy

K. Gerke

1,2

, K. J. Roberts

3

, B. Reichert

4

, R. P. Sutcliffe

3

, F. Marcon

3

, S. K. Kamarajah

3

, A. Kaltenborn

2

, T. Becker

4

, N. G. Heits

4

, D. F. Mirzac, J. Klempnauer

1

and

H. Schrem

1 ,2

1

Hannover Medical School, Germany

2

Integrated Research and Treatment Centre Transplantation (IFB-Tx), Hannover

3

Queen Elizabeth Hospital, UK

4

University Medical Centre Schleswig-Holstein, Germany

Statement of the Problem:

At the time of planned pancreatoduodenectomy patients frequently undergo exploratory laparotomy

without resection, leading to delayed systemic therapy. This study aimed to develop and validate a prognostic model for the

preoperative prediction of resectability of pancreatic head tumours.

Methodology & Theoretical Orientation:

This was a retrospective study of patients undergoing attempted resection for

confirmed malignant tumours of the pancreatic head in a university hospital in Hannover, Germany. The prognostic value

of patient and tumour characteristics was investigated in a multivariable logistic regression model. External validation was

performed using data from two other centres.

Findings:

Some 109 patients were included in the development cohort, with 51 and 175 patients in the two validation cohorts.

Eighty patients (73.4%) in the development cohort underwent resection, and 37 (73%) and 141 (80.6%) in the validation

cohorts. The main reasons for performing no resection in the development cohort were: Local invasion of vasculature or

arterial abutment (15 patients, 52%), and liver (12, 41%), peritoneal (8, 28%) and aortocaval lymph node (6, 21%) metastases.

The final model contained the following variables: Time to surgery (OR 0.99, 95 per cent c.i. 0.98 to 0.99), carbohydrate antigen

19-9 concentration (OR 0.99, 0.99 to 0.99), jaundice (OR 4.45, 1.21 to 16.36) and back pain (OR 0.02, 0.00 to 0.22), with an area

under the receiver operating characteristic curve (AUROC) of 0.918 in the development cohort. AUROC values were 0.813

and 0.761 in the validation cohorts. The positive predictive value of the final model for prediction of resectability was 98.0 per

cent in the development cohort, and 91.7 and 94.7 per cent in the two external validation cohorts.

Conclusions:

For preoperative prediction of the likelihood of resectability of pancreatic head tumours, this validated model

is a valuable addition to CT findings.

Biography

Konstantin Gerken has been graduated from Hannover Medical School as Medical Doctor. From 2015 to 2017 he has been doing research at the Core Facility

for Quality Management and Health Technology Assessment in Transplantation at Hannover Medical School. Since 2018 he has started working there at the

Department of Anesthesiology and Intensive Care Medicine.

gerken.konstantin@mh-hannover.de

K. Gerke et al., Clin Pediatr Dermatol 2018, Volume 4

DOI: 10.21767/2472-0143-C2-006