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Clinically oriented three-step strategy for assessment of adnexal pathology

Ameye, L. ; Timmerman, D. ; Valentin, Lil LU orcid ; Paladini, D. ; Zhang, J. ; Van Holsbeke, C. ; Lissoni, A. A. ; Savelli, L. ; Veldman, J. and Testa, A. C. , et al. (2012) In Ultrasound in Obstetrics & Gynecology 40(5). p.582-591
Abstract
Objective To determine the diagnostic performance of ultrasound-based simple rules, risk of malignancy index (RMI), two logistic regression models (LR1 and LR2) and real-time subjective assessment by experienced ultrasound examiners following the exclusion of masses likely to be judged as easy and 'instant' to diagnose by an ultrasound examiner, and to develop a new strategy for the assessment of adnexal pathology based on this. Methods 3511 patients with at least one persistent adnexal mass preoperatively underwent transvaginal ultrasonography to assess tumor morphology and vascularity. They were included in two consecutive prospective studies by the International Ovarian Tumor Analysis (IOTA) group: Phase 1 (1999-2005), development of... (More)
Objective To determine the diagnostic performance of ultrasound-based simple rules, risk of malignancy index (RMI), two logistic regression models (LR1 and LR2) and real-time subjective assessment by experienced ultrasound examiners following the exclusion of masses likely to be judged as easy and 'instant' to diagnose by an ultrasound examiner, and to develop a new strategy for the assessment of adnexal pathology based on this. Methods 3511 patients with at least one persistent adnexal mass preoperatively underwent transvaginal ultrasonography to assess tumor morphology and vascularity. They were included in two consecutive prospective studies by the International Ovarian Tumor Analysis (IOTA) group: Phase 1 (1999-2005), development of the simple rules and logistic regression models LR1 and LR2, and Phase 2, a validation study (2005-2007). Results Almost half of the cases (43%) were identified as 'instant' to diagnose on the basis of descriptors applied to the database. To assess diagnostic performance in the more difficult 'non-instant' masses, we used only Phase 2 data (n = 1036). The sensitivity of LR2 was 88%, of RMI it was 41% and of subjective assessment it was 87%. The specificity of LR2 was 67%, of RMI it was 90% and of subjective assessment it was 86%. The simple rules yielded a conclusive result in almost 2/3 of the masses, where they resulted in sensitivity and specificity similar to those of real-time subjective assessment by experienced ultrasound examiners: sensitivity 89 vs 89% (P = 0.76), specificity 91 vs 91% (P = 0.65). When a three-step strategy was appliedwith easy 'instant' diagnoses as Step 1, simple rules where conclusive as Step 2 and subjective assessment by an experienced ultrasound examiner in the remaining masses as Step 3, we obtained a sensitivity of 92% and specificity of 92% compared with sensitivity 90% (P = 0.03) and specificity 93% (P = 0.44) when using real-time subjective assessment by experts in all tumors. Conclusion A diagnostic strategy using simple descriptors and ultrasound rules when applied to the variables contained in the IOTA database obtains results that are at least as good as those obtained by subjective assessment of a mass by an expert. Copyright. (C) 2012 ISUOG. Published by John Wiley & Sons, Ltd. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
color Doppler ultrasonography, diagnostic accuracy, logistic regression, models, ovarian neoplasms, ultrasonography
in
Ultrasound in Obstetrics & Gynecology
volume
40
issue
5
pages
582 - 591
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000311857100015
  • scopus:84871593636
  • pmid:22511559
ISSN
1469-0705
DOI
10.1002/uog.11177
language
English
LU publication?
yes
id
0decfcb8-8afe-4227-9086-978e999f1e4f (old id 3373273)
date added to LUP
2016-04-01 13:04:59
date last changed
2022-01-27 17:12:08
@article{0decfcb8-8afe-4227-9086-978e999f1e4f,
  abstract     = {{Objective To determine the diagnostic performance of ultrasound-based simple rules, risk of malignancy index (RMI), two logistic regression models (LR1 and LR2) and real-time subjective assessment by experienced ultrasound examiners following the exclusion of masses likely to be judged as easy and 'instant' to diagnose by an ultrasound examiner, and to develop a new strategy for the assessment of adnexal pathology based on this. Methods 3511 patients with at least one persistent adnexal mass preoperatively underwent transvaginal ultrasonography to assess tumor morphology and vascularity. They were included in two consecutive prospective studies by the International Ovarian Tumor Analysis (IOTA) group: Phase 1 (1999-2005), development of the simple rules and logistic regression models LR1 and LR2, and Phase 2, a validation study (2005-2007). Results Almost half of the cases (43%) were identified as 'instant' to diagnose on the basis of descriptors applied to the database. To assess diagnostic performance in the more difficult 'non-instant' masses, we used only Phase 2 data (n = 1036). The sensitivity of LR2 was 88%, of RMI it was 41% and of subjective assessment it was 87%. The specificity of LR2 was 67%, of RMI it was 90% and of subjective assessment it was 86%. The simple rules yielded a conclusive result in almost 2/3 of the masses, where they resulted in sensitivity and specificity similar to those of real-time subjective assessment by experienced ultrasound examiners: sensitivity 89 vs 89% (P = 0.76), specificity 91 vs 91% (P = 0.65). When a three-step strategy was appliedwith easy 'instant' diagnoses as Step 1, simple rules where conclusive as Step 2 and subjective assessment by an experienced ultrasound examiner in the remaining masses as Step 3, we obtained a sensitivity of 92% and specificity of 92% compared with sensitivity 90% (P = 0.03) and specificity 93% (P = 0.44) when using real-time subjective assessment by experts in all tumors. Conclusion A diagnostic strategy using simple descriptors and ultrasound rules when applied to the variables contained in the IOTA database obtains results that are at least as good as those obtained by subjective assessment of a mass by an expert. Copyright. (C) 2012 ISUOG. Published by John Wiley & Sons, Ltd.}},
  author       = {{Ameye, L. and Timmerman, D. and Valentin, Lil and Paladini, D. and Zhang, J. and Van Holsbeke, C. and Lissoni, A. A. and Savelli, L. and Veldman, J. and Testa, A. C. and Amant, F. and Van Huffel, S. and Bourne, T.}},
  issn         = {{1469-0705}},
  keywords     = {{color Doppler ultrasonography; diagnostic accuracy; logistic regression; models; ovarian neoplasms; ultrasonography}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{582--591}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Ultrasound in Obstetrics & Gynecology}},
  title        = {{Clinically oriented three-step strategy for assessment of adnexal pathology}},
  url          = {{http://dx.doi.org/10.1002/uog.11177}},
  doi          = {{10.1002/uog.11177}},
  volume       = {{40}},
  year         = {{2012}},
}