Alison Corr
10 Papers
Alison Corr is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
MRI-Diagnosed Tumour Deposits and EMVI Status Have Superior Prognostic Accuracy to Current Clinical TNM Staging in Rectal Cancer.
A C Lord,A C Lord,Nigel DʼSouza,Nigel DʼSouza,Annabel Shaw,Annabel Shaw,Zena Rokan,Brendan J. Moran,Muti Abulafi,S. Rasheed,Anuradha Chandramohan,Alison Corr,Ian Chau,Gina Brown +13 more
TL;DR: Current MRI staging predicting T and N status does not adequately predict prognosis and positive mrTD/mrEMVI status has greater prognostic accuracy and would be superior in determining treatment and follow-up protocols.
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Image-guided pelvic exenteration-preoperative and intraoperative strategies.
TL;DR: The mainstay of treatment is to offer a total mesorectal excision (TME) with or without concurrent neo-adjuvant chemo-radio-therapy, thereby offering a 63-64% overall survival at 5 years with complete (R0) resection as mentioned in this paper .
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Inter-rater agreement between radiologists using the novel CT-TDV (T3c+; tumour deposits; EMVI) system in patients with potentially curable right colon cancer
TL;DR: In this paper , the inter-rater agreement was assessed using the intraclass correlation coefficient (ICC) between all four readers and individual readers against the central radiologist using Cohen's κ statistic.
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Open sidewall excision for recurrent rectal cancer with gluteal flap reconstruction – a video vignette
Jordan Fletcher,Ioanna Drami,E. Burns,Maleeha Mughal,Malcolm A. West,Alison Corr,John T. Jenkins +6 more
TL;DR: European consensus on the standardization of robotic total mesorectal excision for rectal cancer, and a singlecenter study with propensity score matching analysis, are published.
Video correspondence: Open sidewall excision for recurrent rectal cancer with gluteal flap reconstruction.
Jordan Fletcher,Ioanna Drami,E. Burns,Maleeha Mughal,Malcolm A. West,Alison Corr,John T. Jenkins +6 more
TL;DR: In this paper , the authors present a system for video analysis and classification of video content, which is based on the concept of video-based analysis of the video and the video content.