MSCT of epithelial ovarian tumours : a pictorial illustration
Introduction: Majority of ovarian neoplasms are benign. The classification of ovarian tumours is based on the presumed cell of origin either epithelial, germ cells or specialized gonadal stroma tumour. Among the malignant type of ovarian tumours, the epithelial type is the commonest comprising abo...
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iium-114402013-04-27T08:03:02Z http://irep.iium.edu.my/11440/ MSCT of epithelial ovarian tumours : a pictorial illustration Hassan, Radhiana Abd. Aziz, Azian Md Ralib @ Md Raghib, Ahmad Razali Abdullah, Suhaiza R Medicine (General) Introduction: Majority of ovarian neoplasms are benign. The classification of ovarian tumours is based on the presumed cell of origin either epithelial, germ cells or specialized gonadal stroma tumour. Among the malignant type of ovarian tumours, the epithelial type is the commonest comprising about 85% of cases. The ovarian epithelial tymours include serous, mucinous, clear cell, endometrioid and Brenner tumours. Case series We retrospectively traced MSCT of epithelial ovarian tumour performed in Hospital Tengku Ampuan Afzan, Kuantan, Pahang. A total of 48 cases were included from 2008 to 2010. The images were reviewed and correlation with HPE findings was made. This pictorial illustration emphasize on different types of epithelial ovarian tumours and the MSCT findings. Conclusion MSCT can depict tumour morphology and extension. It allows attempts on differentiation of benign from malignant ovarian lesion that is important for subsequent surgical planning. 2011 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/11440/1/2011_IHC_epithelial_ovarian_tumour.pdf Hassan, Radhiana and Abd. Aziz, Azian and Md Ralib @ Md Raghib, Ahmad Razali and Abdullah, Suhaiza (2011) MSCT of epithelial ovarian tumours : a pictorial illustration. In: International Health Conference IIUM 2011 , 6 - 8 November 2011, Kuantan, Pahang. (Unpublished) |
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R Medicine (General) Hassan, Radhiana Abd. Aziz, Azian Md Ralib @ Md Raghib, Ahmad Razali Abdullah, Suhaiza MSCT of epithelial ovarian tumours : a pictorial illustration |
description |
Introduction:
Majority of ovarian neoplasms are benign. The classification of ovarian tumours is based on the presumed cell of origin either epithelial, germ cells or specialized gonadal stroma tumour. Among the malignant type of ovarian tumours, the epithelial type is the commonest comprising about 85% of cases. The ovarian epithelial tymours include serous, mucinous, clear cell, endometrioid and Brenner tumours.
Case series
We retrospectively traced MSCT of epithelial ovarian tumour performed in Hospital Tengku Ampuan Afzan, Kuantan, Pahang. A total of 48 cases were included from 2008 to 2010. The images were reviewed and correlation with HPE findings was made. This pictorial illustration emphasize on different types of epithelial ovarian tumours and the MSCT findings.
Conclusion
MSCT can depict tumour morphology and extension. It allows attempts on differentiation of benign from malignant ovarian lesion that is important for subsequent surgical planning.
|
format |
Conference or Workshop Item |
author |
Hassan, Radhiana Abd. Aziz, Azian Md Ralib @ Md Raghib, Ahmad Razali Abdullah, Suhaiza |
author_facet |
Hassan, Radhiana Abd. Aziz, Azian Md Ralib @ Md Raghib, Ahmad Razali Abdullah, Suhaiza |
author_sort |
Hassan, Radhiana |
title |
MSCT of epithelial ovarian tumours : a pictorial illustration |
title_short |
MSCT of epithelial ovarian tumours : a pictorial illustration |
title_full |
MSCT of epithelial ovarian tumours : a pictorial illustration |
title_fullStr |
MSCT of epithelial ovarian tumours : a pictorial illustration |
title_full_unstemmed |
MSCT of epithelial ovarian tumours : a pictorial illustration |
title_sort |
msct of epithelial ovarian tumours : a pictorial illustration |
publishDate |
2011 |
url |
http://irep.iium.edu.my/11440/ http://irep.iium.edu.my/11440/1/2011_IHC_epithelial_ovarian_tumour.pdf |
first_indexed |
2023-09-18T20:20:45Z |
last_indexed |
2023-09-18T20:20:45Z |
_version_ |
1777408090750058496 |