Literature DB >> 22223587

Prospective evaluation of the IOTA logistic regression model LR2 for the diagnosis of ovarian cancer.

N Nunes1, J Yazbek, G Ambler, W Hoo, J Naftalin, D Jurkovic.   

Abstract

OBJECTIVES: To assess the accuracy of the IOTA logistic regression model LR2 for the diagnosis of ovarian cancer.
METHODS: This was a prospective single-center study of women with an ultrasound diagnosis of an adnexal tumor. They were all examined by a single Level-II ultrasound operator, who had received training in the systematic examination of ovarian tumors in accordance with the IOTA guidelines. In all women the likelihood of the adnexal lesion being malignant was calculated using the IOTA LR2 model. All women underwent surgery within 120 days of ultrasound examination and the ultrasound findings were compared with operative findings and the final histological diagnosis.
RESULTS: One hundred and twenty-four women were included in the final analysis. The mean age was 53.2 (range, 20-91) years and 61/124 (49.2%) women were postmenopausal. 66/124 (53.2%) women had malignant lesions on postoperative histological examination. The IOTA LR2 model had a sensitivity of 97.0% (95% CI, 89.5-99.6%) and a specificity of 69.0% (95% CI, 55.5-80.5%). The area under the receiver-operating characteristics curve was 0.93 (SE, 0.022; 95% CI, 0.89-0.97), which was not significantly different from 0.92 (SE, 0.018) reported in the original study (P > 0.05).
CONCLUSION: When evaluated prospectively, the accuracy of the IOTA LR2 model was similar to that reported in the original study.
Copyright © 2012 ISUOG. Published by John Wiley & Sons, Ltd.

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Mesh:

Year:  2012        PMID: 22223587     DOI: 10.1002/uog.11088

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  10 in total

1.  Evaluation of IOTA Simple Ultrasound Rules to Distinguish Benign and Malignant Ovarian Tumours.

Authors:  Sugandha Garg; Amarjit Kaur; Jaswinder Kaur Mohi; Preet Kanwal Sibia; Navkiran Kaur
Journal:  J Clin Diagn Res       Date:  2017-08-01

Review 2.  In 2014, can we do better than CA125 in the early detection of ovarian cancer?

Authors:  Joshua G Cohen; Matthew White; Ana Cruz; Robin Farias-Eisner
Journal:  World J Biol Chem       Date:  2014-08-26

Review 3.  Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumors.

Authors:  B Van Calster; K Van Hoorde; W Froyman; J Kaijser; L Wynants; C Landolfo; C Anthoulakis; I Vergote; T Bourne; D Timmerman
Journal:  Facts Views Vis Obgyn       Date:  2015

4.  Towards an evidence-based approach for diagnosis and management of adnexal masses: findings of the International Ovarian Tumour Analysis (IOTA) studies.

Authors:  J Kaijser
Journal:  Facts Views Vis Obgyn       Date:  2015

5.  Sonographic Diagnosis of Tubal Cancer with IOTA Simple Rules Plus Pattern Recognition

Authors:  Theera Tongsong; Chanane Wanapirak; Charuwan Tantipalakorn; Dangcheewan Tinnangwattana
Journal:  Asian Pac J Cancer Prev       Date:  2017-11-26

6.  Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma.

Authors:  Huibin Du; Yan He; Wei Lu; Yu Han; Qi Wan
Journal:  J Oncol       Date:  2022-01-27       Impact factor: 4.375

7.  A comparison of the diagnostic performance of the O-RADS, RMI4, IOTA LR2, and IOTA SR systems by senior and junior doctors.

Authors:  Yuyang Guo; Baihua Zhao; Shan Zhou; Lieming Wen; Jieyu Liu; Yaqian Fu; Fang Xu; Minghui Liu
Journal:  Ultrasonography       Date:  2022-01-31

8.  Multicentre external validation of IOTA prediction models and RMI by operators with varied training.

Authors:  A Sayasneh; L Wynants; J Preisler; J Kaijser; S Johnson; C Stalder; R Husicka; Y Abdallah; F Raslan; A Drought; A A Smith; S Ghaem-Maghami; E Epstein; B Van Calster; D Timmerman; T Bourne
Journal:  Br J Cancer       Date:  2013-05-14       Impact factor: 7.640

9.  Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.

Authors:  A Testa; J Kaijser; L Wynants; D Fischerova; C Van Holsbeke; D Franchi; L Savelli; E Epstein; A Czekierdowski; S Guerriero; R Fruscio; F P G Leone; I Vergote; T Bourne; L Valentin; B Van Calster; D Timmerman
Journal:  Br J Cancer       Date:  2014-06-17       Impact factor: 7.640

10.  Distinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings.

Authors:  Sarikapan Wilailak; Karen K L Chan; Chi An Chen; Joo Hyun Nam; Kazunori Ochiai; Tar Choon Aw; Subathra Sabaratnam; Sudarshan Hebbar; Jaganathan Sickan; Beth A Schodin; Chuenkamon Charakorn; Walfrido W Sumpaico
Journal:  J Gynecol Oncol       Date:  2014-10-13       Impact factor: 4.401

  10 in total

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