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Survey of Structured Reporting in MRI of rectal cancer Survey of Structured Reporting in MRI of rectal cancer

Survey of Structured Reporting in MRI of rectal cancer - PowerPoint Presentation

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Uploaded On 2024-01-29

Survey of Structured Reporting in MRI of rectal cancer - PPT Presentation

Dr Eric Loveday North Bristol NHS Trust 10 Invitations sent out to specialist reporters across the region using a SurveyMonkey in the following trusts UHB NBT YDH WGH TST GHT 7 respondents including myself ID: 1041355

reporting structured mri template structured reporting template mri answered standards data agreed guidance items college national rectal

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1. Survey of Structured Reporting in MRI of rectal cancerDr Eric LovedayNorth Bristol NHS Trust

2. 10 Invitations sent out to specialist reporters across the region using a SurveyMonkey in the following trusts:UHB, NBT, YDH, WGH, TST, GHT.7 respondents (including myself!)

3. MRI in rectal cancer5/7 are using structured reports4 using an agreed department template2 using their own, 2 using national template based on Pelican etc.Agreement on the essential data items (location, CRM, TNM, EMVI etc)

4. CT in colon cancer3/7 using structured reports1 of whom using an agreed dept template

5. “Do you think structured radiology reporting in colorectal cancer has the potential to improve patient care across the board?” 6/7 answered yes“Do you think the College should promote national standards for Structured Reporting?” 6/7 answered yes

6. “In the absence of any leadership from the College, do you think the teams in the SWAG network should take a lead in harmonising reporting standards across the patch?” 7/7 answered yes

7. Considerations/next stepsIs this the domain of the SSG?Is there benefit in encouraging a uniform template (as for pathology) or is it best to go for specifying the core data items (Pragmatism vs perfection) Do we offer guidance only or “enforcement through inspection/audit” (Compare similar work happening re. mpMRI prostate.)Any guidance should include technical aspects for optimising MRI.