Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way.

The goal of head and neck oncological surgery is complete tumor resection with adequate resection margins while preserving acceptable function and appearance. For oral cavity squamous cell carcinoma (OCSCC), different studies showed that only 15%-26% of all resections are adequate. A major reason for the low number of adequate resections is the lack of information during surgery; the margin status is only available after the final histopathologic assessment, days after surgery. The surgeons and pathologists at the Erasmus MC University Medical Center in Rotterdam started the implementation of specimen-driven intraoperative assessment of resection margins (IOARM) in 2013, which became the standard of care in 2015. This method enables the surgeon to turn an inadequate resection into an adequate resection by performing an additional resection during the initial surgery. Intraoperative assessment is supported by a relocation method procedure that allows accurate identification of inadequate margins (found on the specimen) in the wound bed. The implementation of this protocol resulted in an improvement of adequate resections from 15%-40%. However, the specimen-driven IOARM is not widely adopted because grossing fresh tissue is counter-intuitive for pathologists. The fear exists that grossing fresh tissue will deteriorate the anatomical orientation, shape, and size of the specimen and therefore will affect the final histopathologic assessment. These possible negative effects are countered by the described protocol. Here, the protocol for specimen-driven IOARM is presented in detail, as performed at the institute.

Dutch Gastrointestinal Endoscopy Audit: automated extraction of colonoscopy data for quality assessment and improvement.

BACKGROUND AND AIMS: The importance of having quality assessment, assurance, and improvement tools in health care is increasingly recognized. However, the additional associated administration burden progressively interferes with the structural implementation and adoption of such tools, especially when it concerns high-volume procedures such as colonoscopies. The development of the Dutch Gastrointestinal Endoscopy Audit (DGEA), a registry with automated extraction of colonoscopy quality data, and its first results are described. METHODS: In close cooperation with commercial endoscopy reporting systems and a national histopathology database, healthcare professionals performing colonoscopies initiated a quality registry that extracts data from its core hospital resource or histology database without manual interference of the healthcare providers. Data extracted consisted of patient age, gender, indication of the colonoscopy, American Society of Anesthesiologists score, Boston Bowel Preparation Score, and cecal intubation; for the colonoscopy after a positive fecal immunochemical test in the colorectal cancer screening program, other data were polyp detection rate, which was available for all 48 hospitals or endoscopy centers, and adenoma detection rate, which was available for 26 hospitals or endoscopy centers. RESULTS: Between January 1, 2016 and March 31, 2019, 48 hospitals or endoscopy centers voluntarily participated in the DGEA, and 275,017 unique patients with 313,511 colonoscopies were registered. Overall missing values were limited to <1%. CONCLUSIONS: The results of this study demonstrate that it is feasible to deploy a quality registry collecting uniform data without additional administration burden for healthcare professionals.