Extended lymphadenectomy cannot be recommended. Standard lymphadenectomy for pancreatoduodenectomy should strive to resect Ln stations no. 5, 6, 8a, 12b1, 12b2, 12c, 13a, 13b, 14a, 14b, 17a, and 17b. For cancers of the body and tail of the pancreas, removal of stations 10, 11, and 18 is standard. Furthermore, lymphadenectomy is important for adequate nodal staging. Both pancreatic resection in relatively fit patients or nonresectional palliative treatment were accepted as acceptable treatment in cases of positive Ln's outside the resection plane. This consensus statement could serve as a guide for surgeons and researchers in future directives and new clinical studies.
Background Enhanced recovery after surgery (ERAS) pathways are now implemented worldwide with strong evidence that adhesion to such protocol reduces medical complications, costs and hospital stay. This concept has been applied for pancreatic surgery since the first published guidelines in 2012. This study presents the updated ERAS recommendations for pancreatoduodenectomy (PD) based on the best available evidence and on expert consensus. Methods A systematic literature search was conducted in three databases (Embase, Medline Ovid and Cochrane Library Wiley) for the 27 developed ERAS items. Quality of randomized trials was assessed using the Consolidated Standards of Reporting Trials statement checklist. The level of evidence for each item was determined using the Grading of Recommendations Assessment Development and Evaluation system. The Delphi method was used to validate the final recommendations. Results A total of 314 articles were included in the systematic review. Consensus among experts was reached after three rounds. A well-implemented ERAS protocol with good compliance is associated with a reduction in medical complications and length of hospital stay. The highest level of evidence was available for five items: avoiding hypothermia, use of wound catheters as an alternative to epidural analgesia, antimicrobial and thromboprophylaxis protocols and preoperative nutritional interventions for patients with severe weight loss ([ 15%). Conclusions The current updated ERAS recommendations for PD are based on the best available evidence and processed by the Delphi method. Prospective studies of high quality are encouraged to confirm the benefit of current updated recommendations.
Background
There are no established guidelines for pathologic diagnosis/reporting of IPMNs.
Design
An international multidisciplinary group brought together by the Verona Pancreas Group in Italy-2013, was tasked to devise recommendations.
Results
1) Crucial to rule out invasive carcinoma with extensive (if not complete) sampling. 2) Invasive component is to be documented in a full synoptic report including its size, type, grade, stage. 3) The term “minimally invasive” should be avoided; instead, invasion size with stage and substaging of T1 (1a, b, c; ≤0.5, >0.5–≤1, >1 cm), is to be documented. 4) Largest diameter of the invasion, not the distance from the nearest duct, is to be used. 5) A category of “indeterminate/(suspicious) for invasion” is acceptable for rare cases. 6) The term “malignant” IPMN should be avoided. 7) The highest grade of dysplasia in the non-invasive component is to be documented separately. 8) Lesion size is to be correlated with imaging findings in cysts with rupture. 9) The main duct diameter, and if possible, its involvement is to be documented; however, it is not required to provide main vs branch duct classification in the resected tumor. 10) Subtyping as gastric/intestinal/pancreatobiliary/oncocytic/mixed is of value. 11) Frozen section is to be performed highly selectively, with appreciation of its shortcomings. 12) These principles also apply to other similar tumoral intraepithelial neoplasms (mucinous cystic neoplasms, intra-ampullary, intra-biliary/cholecystic).
Conclusion
These recommendations will ensure proper communication of salient tumor characteristics to the management teams, accurate comparison of data between analyses, and development of more effective management algorithms.
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