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Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated w...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988255/ https://www.ncbi.nlm.nih.gov/pubmed/35142534 http://dx.doi.org/10.2217/cns-2021-0005 |
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author | Aboud, Orwa Shah, Ritu Vera, Elizabeth Burton, Eric Theeler, Brett Wu, Jing Boris, Lisa Quezado, Martha Reyes, Jennifer Wall, Kathleen R Gilbert, Mark S Armstrong, Terri Penas-Prado, Marta |
author_facet | Aboud, Orwa Shah, Ritu Vera, Elizabeth Burton, Eric Theeler, Brett Wu, Jing Boris, Lisa Quezado, Martha Reyes, Jennifer Wall, Kathleen R Gilbert, Mark S Armstrong, Terri Penas-Prado, Marta |
author_sort | Aboud, Orwa |
collection | PubMed |
description | BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated with the kappa coefficient (k). A neuroradiologist measured presurgical apparent diffusion coefficient (ADC), if available. RESULTS: Extensive enhancement was noted in four of 58 patients, k = 0.7; necrosis in seven of 58, k = 0.61; calcification in seven of 17, k = 1.0; diffusion restriction in two of 39 patients, k = 1.0 (all only in grade 3). ADC values with receiver operator characteristic analysis for area under the curve were 0.473, not significantly different from the null hypothesis (p = 0.14). CONCLUSIONS: Extensive enhancement, necrosis and calcification correlated with grade 3 oligodendroglioma in our sample. However, interrater variability is an important limitation when assessing radiographic features, supporting the need for standardization of imaging protocols and their interpretation. |
format | Online Article Text |
id | pubmed-8988255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89882552022-04-11 Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch Aboud, Orwa Shah, Ritu Vera, Elizabeth Burton, Eric Theeler, Brett Wu, Jing Boris, Lisa Quezado, Martha Reyes, Jennifer Wall, Kathleen R Gilbert, Mark S Armstrong, Terri Penas-Prado, Marta CNS Oncol Research Article BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated with the kappa coefficient (k). A neuroradiologist measured presurgical apparent diffusion coefficient (ADC), if available. RESULTS: Extensive enhancement was noted in four of 58 patients, k = 0.7; necrosis in seven of 58, k = 0.61; calcification in seven of 17, k = 1.0; diffusion restriction in two of 39 patients, k = 1.0 (all only in grade 3). ADC values with receiver operator characteristic analysis for area under the curve were 0.473, not significantly different from the null hypothesis (p = 0.14). CONCLUSIONS: Extensive enhancement, necrosis and calcification correlated with grade 3 oligodendroglioma in our sample. However, interrater variability is an important limitation when assessing radiographic features, supporting the need for standardization of imaging protocols and their interpretation. Future Medicine Ltd 2022-02-10 /pmc/articles/PMC8988255/ /pubmed/35142534 http://dx.doi.org/10.2217/cns-2021-0005 Text en © 2022 Marta Penas-Prado https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Article Aboud, Orwa Shah, Ritu Vera, Elizabeth Burton, Eric Theeler, Brett Wu, Jing Boris, Lisa Quezado, Martha Reyes, Jennifer Wall, Kathleen R Gilbert, Mark S Armstrong, Terri Penas-Prado, Marta Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title | Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title_full | Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title_fullStr | Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title_full_unstemmed | Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title_short | Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch |
title_sort | challenges of imaging interpretation to predict oligodendroglioma grade: a report from the neuro-oncology branch |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988255/ https://www.ncbi.nlm.nih.gov/pubmed/35142534 http://dx.doi.org/10.2217/cns-2021-0005 |
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