Advanced

Ultrasound, macroscopic and histological features of malignant ovarian tumors

Moro, Francesca ; Verdecchia, Valeria ; Romeo, Paola ; Ciccarone, Francesca ; Zannoni, Gian Franco ; Valentin, Lil LU ; Timmerman, Dirk ; Bourne, Tom ; Froyman, Wouter and Scambia, Giovanni , et al. (2021) In International Journal of Gynecological Cancer 31(1). p.150-151
Abstract

Ultrasound examination is considered to be the first line imaging method to diagnose an ovarian mass with a high degree of accuracy, discriminating between benign and malignant ovarian masses in the hands of experienced examiners. The International Ovarian Tumor Analysis (IOTA) group provided a standardized terminology of ovarian masses1 and suggested simple ultrasound rules that can be used to classify adnexal masses as benign or malignant.2 The IOTA group has also created logistic regression models (ie, ADNEX (Assessment of Different NEoplasias in the adneXa) model), including clinical and ultrasound information to calculate the likelihood of malignancy in adnexal masses. The IOTA ADNEX model estimates the likelihood not only of an... (More)

Ultrasound examination is considered to be the first line imaging method to diagnose an ovarian mass with a high degree of accuracy, discriminating between benign and malignant ovarian masses in the hands of experienced examiners. The International Ovarian Tumor Analysis (IOTA) group provided a standardized terminology of ovarian masses1 and suggested simple ultrasound rules that can be used to classify adnexal masses as benign or malignant.2 The IOTA group has also created logistic regression models (ie, ADNEX (Assessment of Different NEoplasias in the adneXa) model), including clinical and ultrasound information to calculate the likelihood of malignancy in adnexal masses. The IOTA ADNEX model estimates the likelihood not only of an adnexal mass being benign or malignant but also the likelihood that the mass is benign, borderline malignant, stage I primary invasive malignant, stage IIIV primary invasive malignant or a metastasis in the ovary from another primary tumor. 3 Recently, a consensus meeting including European and North American professionals developed a new risk model for the pre-operative assessment of adnexal masses, called O-RADS (Ovarian-Adnexal Reporting and Data System). The O-RADS ultrasound risk stratification and management system was designed to provide consistent interpretations, to decrease or eliminate ambiguity in ultrasound reports resulting in a higher probability of accuracy in assigning risk of malignancy to ovarian and other adnexal masses, and to provide a management recommendation for each risk category. 4 Moreover, during the past 15 years authors of the IOTA group have described the typical ultrasound appearance of several different adnexal pathologies, including various histotypes of malignancy, collected in the series of Imaging in gynecology papers. 510 Indeed, ovarian cancer includes several histological entities which can be grouped into four histological groups: epithelial tumors, germ cell tumors, stromal tumors and metastatic tumors. Each histopathological category is often characterized by some morphological typical features, as described in the textbooks of pathologists. In the pre-operative phase, ultrasound examination can enable assessment of these macroscopic aspects, thus providing a presumptive histological diagnosis. We present a video describing how to apply the simple ultrasound rules, the IOTA ADNEX model and the O-RADS model, and provides explanatory examples for each model.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
gynecology, ovarian cancer, ovarian neoplasms, pathology
in
International Journal of Gynecological Cancer
volume
31
issue
1
article number
001435
pages
150 - 151
publisher
Wiley-Blackwell
external identifiers
  • scopus:85090213542
  • pmid:32820011
ISSN
1048-891X
DOI
10.1136/ijgc-2020-001435
language
English
LU publication?
yes
id
372092bf-9f6f-4ca4-9e9f-ff5051fc5b39
date added to LUP
2020-09-18 16:14:29
date last changed
2021-06-08 05:52:57
@article{372092bf-9f6f-4ca4-9e9f-ff5051fc5b39,
  abstract     = {<p>Ultrasound examination is considered to be the first line imaging method to diagnose an ovarian mass with a high degree of accuracy, discriminating between benign and malignant ovarian masses in the hands of experienced examiners. The International Ovarian Tumor Analysis (IOTA) group provided a standardized terminology of ovarian masses1 and suggested simple ultrasound rules that can be used to classify adnexal masses as benign or malignant.2 The IOTA group has also created logistic regression models (ie, ADNEX (Assessment of Different NEoplasias in the adneXa) model), including clinical and ultrasound information to calculate the likelihood of malignancy in adnexal masses. The IOTA ADNEX model estimates the likelihood not only of an adnexal mass being benign or malignant but also the likelihood that the mass is benign, borderline malignant, stage I primary invasive malignant, stage IIIV primary invasive malignant or a metastasis in the ovary from another primary tumor. 3 Recently, a consensus meeting including European and North American professionals developed a new risk model for the pre-operative assessment of adnexal masses, called O-RADS (Ovarian-Adnexal Reporting and Data System). The O-RADS ultrasound risk stratification and management system was designed to provide consistent interpretations, to decrease or eliminate ambiguity in ultrasound reports resulting in a higher probability of accuracy in assigning risk of malignancy to ovarian and other adnexal masses, and to provide a management recommendation for each risk category. 4 Moreover, during the past 15 years authors of the IOTA group have described the typical ultrasound appearance of several different adnexal pathologies, including various histotypes of malignancy, collected in the series of Imaging in gynecology papers. 510 Indeed, ovarian cancer includes several histological entities which can be grouped into four histological groups: epithelial tumors, germ cell tumors, stromal tumors and metastatic tumors. Each histopathological category is often characterized by some morphological typical features, as described in the textbooks of pathologists. In the pre-operative phase, ultrasound examination can enable assessment of these macroscopic aspects, thus providing a presumptive histological diagnosis. We present a video describing how to apply the simple ultrasound rules, the IOTA ADNEX model and the O-RADS model, and provides explanatory examples for each model.</p>},
  author       = {Moro, Francesca and Verdecchia, Valeria and Romeo, Paola and Ciccarone, Francesca and Zannoni, Gian Franco and Valentin, Lil and Timmerman, Dirk and Bourne, Tom and Froyman, Wouter and Scambia, Giovanni and Testa, Antonia Carla},
  issn         = {1048-891X},
  language     = {eng},
  number       = {1},
  pages        = {150--151},
  publisher    = {Wiley-Blackwell},
  series       = {International Journal of Gynecological Cancer},
  title        = {Ultrasound, macroscopic and histological features of malignant ovarian tumors},
  url          = {http://dx.doi.org/10.1136/ijgc-2020-001435},
  doi          = {10.1136/ijgc-2020-001435},
  volume       = {31},
  year         = {2021},
}