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Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited

BACKGROUND: Magnetic resonance imaging (MRI) is regarded as the modality of choice in diagnosis of pituitary macroadenomas. Since surgery is the first line therapy for all pituitary adenomas, simple and reproducible MRI classification based on major directions of tumour growth is an essential tool....

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Autores principales: Anwar, Shayan Sirat Maheen, Hilal, Kiran, Khan, Anam, Ahmad, Asra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033953/
https://www.ncbi.nlm.nih.gov/pubmed/36969507
http://dx.doi.org/10.1016/j.ejro.2023.100486
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author Anwar, Shayan Sirat Maheen
Hilal, Kiran
Khan, Anam
Ahmad, Asra
author_facet Anwar, Shayan Sirat Maheen
Hilal, Kiran
Khan, Anam
Ahmad, Asra
author_sort Anwar, Shayan Sirat Maheen
collection PubMed
description BACKGROUND: Magnetic resonance imaging (MRI) is regarded as the modality of choice in diagnosis of pituitary macroadenomas. Since surgery is the first line therapy for all pituitary adenomas, simple and reproducible MRI classification based on major directions of tumour growth is an essential tool. SIPAP MRI classification for pituitary adenoma describes tumor extension in parasellar, suprasellar, infrasellar, anterior and posterior directions. We, therefore, evaluated reproducibility of SIPAP classification in reporting of pituitary adenomas. METHODS: Forty-nine patients with biopsy-proven pituitary macroadenoma were graded according to SIPAP classification. Data was analyzed using Stata version 15. Interobserver variability was calculated using Cohen’s Kappa. Comparison between grading before and after treatment was performed by Chi-square test. P values < 0.05 were considered statistically significant. RESULTS: Individual tumour extensions according to SIPAP for pre- and post-operative grading showed significant difference (p-value <0.001), except for anterior extension. For suprasellar extension, 67.3 % patients had pre-operative grade-3 and 63.3 % had post-operative grade-0. For infrasellar extension, 51.0 % had pre-operative grade-2 and 71.4 % had post-operative grade-0. Anterior, posterior and parasellar extensions showed increased frequency in grade-0 in post-operative stage compared to pre-operative. Substantial inter-observer agreement was achieved for Superior, Inferior, Anterior and Posterior extent with all Kappa statistics values above 0.7 (p-value <0.001). CONCLUSION: We propose incorporating simple and objective SIPAP classification in routine MR reporting for ideal pituitary tumour delineation, relationship to juxtasellar structures and tumour size, hence facilitating greater success rate in surgical and subsequent clinical management.
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spelling pubmed-100339532023-03-24 Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited Anwar, Shayan Sirat Maheen Hilal, Kiran Khan, Anam Ahmad, Asra Eur J Radiol Open Original Article BACKGROUND: Magnetic resonance imaging (MRI) is regarded as the modality of choice in diagnosis of pituitary macroadenomas. Since surgery is the first line therapy for all pituitary adenomas, simple and reproducible MRI classification based on major directions of tumour growth is an essential tool. SIPAP MRI classification for pituitary adenoma describes tumor extension in parasellar, suprasellar, infrasellar, anterior and posterior directions. We, therefore, evaluated reproducibility of SIPAP classification in reporting of pituitary adenomas. METHODS: Forty-nine patients with biopsy-proven pituitary macroadenoma were graded according to SIPAP classification. Data was analyzed using Stata version 15. Interobserver variability was calculated using Cohen’s Kappa. Comparison between grading before and after treatment was performed by Chi-square test. P values < 0.05 were considered statistically significant. RESULTS: Individual tumour extensions according to SIPAP for pre- and post-operative grading showed significant difference (p-value <0.001), except for anterior extension. For suprasellar extension, 67.3 % patients had pre-operative grade-3 and 63.3 % had post-operative grade-0. For infrasellar extension, 51.0 % had pre-operative grade-2 and 71.4 % had post-operative grade-0. Anterior, posterior and parasellar extensions showed increased frequency in grade-0 in post-operative stage compared to pre-operative. Substantial inter-observer agreement was achieved for Superior, Inferior, Anterior and Posterior extent with all Kappa statistics values above 0.7 (p-value <0.001). CONCLUSION: We propose incorporating simple and objective SIPAP classification in routine MR reporting for ideal pituitary tumour delineation, relationship to juxtasellar structures and tumour size, hence facilitating greater success rate in surgical and subsequent clinical management. Elsevier 2023-03-20 /pmc/articles/PMC10033953/ /pubmed/36969507 http://dx.doi.org/10.1016/j.ejro.2023.100486 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Anwar, Shayan Sirat Maheen
Hilal, Kiran
Khan, Anam
Ahmad, Asra
Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title_full Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title_fullStr Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title_full_unstemmed Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title_short Magnetic resonance imaging grading of pituitary macroadenoma – SIPAP classification revisited
title_sort magnetic resonance imaging grading of pituitary macroadenoma – sipap classification revisited
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033953/
https://www.ncbi.nlm.nih.gov/pubmed/36969507
http://dx.doi.org/10.1016/j.ejro.2023.100486
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