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P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments
INTRODUCTION: The breast triple assessment enables rapid evaluation of breast abnormalities. Lesions are assessed via the assessments based on clinical examination, imaging and histological sampling. Fibroepithelial lesions (FELs) are amongst the most common breast lesions of uncertain malignant pot...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8030187/ http://dx.doi.org/10.1093/bjsopen/zrab032.090 |
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author | Kandiyil, Aneeshya Guan, Yue |
author_facet | Kandiyil, Aneeshya Guan, Yue |
author_sort | Kandiyil, Aneeshya |
collection | PubMed |
description | INTRODUCTION: The breast triple assessment enables rapid evaluation of breast abnormalities. Lesions are assessed via the assessments based on clinical examination, imaging and histological sampling. Fibroepithelial lesions (FELs) are amongst the most common breast lesions of uncertain malignant potential. They encompass a spectrum of entities ranging from benign fibroadenomas (FA) to malignant phyllodes tumours (PT), with contrasting clinical management approaches. Unfortunately, the distinction between various FELs is often difficult, despite recent diagnostic advances. This is especially so between FAs and PTs. Nevertheless, understanding how to prioritise key characteristics of PTs, both radiologically and histologically may ease this challenge. In our opinion, a multidisciplinary approach including radiological input is probably the most helpful in reaching an accurate diagnosis. METHODS: We, retrospectively studied data from breast lesions which were initially diagnosed pre-operatively as R3/B3 FELs, and those with a final diagnosis of PT on excision. 71 suitable cases were identified from 2009 to 2019. Information was extracted from reports made by specialists at the pre-operative and post-excision stages. Statistical analysis will be applied to quantify the significance of features evaluated. RESULTS: Preliminary results suggest diagnoses made by pathologists on pre-operative samples correlated well with the eventual final diagnosis made on post-operative specimens. Adequate sampling appears to be a significant factor in influencing the pre-operative core biopsy diagnosis. CONCLUSION: We anticipate to acquire a comprehensive knowledge of various predictive features of PTs, and the correlation between the key radiological features, thereby allowing accurate pre-operative diagnosis of these interesting and challenging lesions. |
format | Online Article Text |
id | pubmed-8030187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80301872021-04-13 P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments Kandiyil, Aneeshya Guan, Yue BJS Open Poster Presentation INTRODUCTION: The breast triple assessment enables rapid evaluation of breast abnormalities. Lesions are assessed via the assessments based on clinical examination, imaging and histological sampling. Fibroepithelial lesions (FELs) are amongst the most common breast lesions of uncertain malignant potential. They encompass a spectrum of entities ranging from benign fibroadenomas (FA) to malignant phyllodes tumours (PT), with contrasting clinical management approaches. Unfortunately, the distinction between various FELs is often difficult, despite recent diagnostic advances. This is especially so between FAs and PTs. Nevertheless, understanding how to prioritise key characteristics of PTs, both radiologically and histologically may ease this challenge. In our opinion, a multidisciplinary approach including radiological input is probably the most helpful in reaching an accurate diagnosis. METHODS: We, retrospectively studied data from breast lesions which were initially diagnosed pre-operatively as R3/B3 FELs, and those with a final diagnosis of PT on excision. 71 suitable cases were identified from 2009 to 2019. Information was extracted from reports made by specialists at the pre-operative and post-excision stages. Statistical analysis will be applied to quantify the significance of features evaluated. RESULTS: Preliminary results suggest diagnoses made by pathologists on pre-operative samples correlated well with the eventual final diagnosis made on post-operative specimens. Adequate sampling appears to be a significant factor in influencing the pre-operative core biopsy diagnosis. CONCLUSION: We anticipate to acquire a comprehensive knowledge of various predictive features of PTs, and the correlation between the key radiological features, thereby allowing accurate pre-operative diagnosis of these interesting and challenging lesions. Oxford University Press 2021-04-08 /pmc/articles/PMC8030187/ http://dx.doi.org/10.1093/bjsopen/zrab032.090 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of BJS Society Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercialre-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Presentation Kandiyil, Aneeshya Guan, Yue P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title | P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title_full | P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title_fullStr | P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title_full_unstemmed | P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title_short | P91 Phyllodes Tumours: Looking for Predictive Features from Multidisciplinary Assessments |
title_sort | p91 phyllodes tumours: looking for predictive features from multidisciplinary assessments |
topic | Poster Presentation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8030187/ http://dx.doi.org/10.1093/bjsopen/zrab032.090 |
work_keys_str_mv | AT kandiyilaneeshya p91phyllodestumourslookingforpredictivefeaturesfrommultidisciplinaryassessments AT guanyue p91phyllodestumourslookingforpredictivefeaturesfrommultidisciplinaryassessments |