OC144: Prospective evaluation of logistic regression models to predict malignancy of adnexal masses prior to surgery

B. Van Calster; C. Van Holsbeke; R. Fruscio; S. Guerriero; A. Czekierdowski; L. Valentin; L. Savelli; A. C. Testa; N. Colombo; D. Fischerova; J. Zhang; D. Jurkovic; S. Van Huffel; T. Bourne; D. Timmerman

doi:10.1002/uog.5552

OC144: Prospective evaluation of logistic regression models to predict malignancy of adnexal masses prior to surgery

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.5552 ◽

2008 ◽

Vol 32 (3) ◽

pp. 289-290 ◽

Cited By ~ 1

Author(s):

B. Van Calster ◽

C. Van Holsbeke ◽

R. Fruscio ◽

S. Guerriero ◽

A. Czekierdowski ◽

...

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Prospective Evaluation ◽

Adnexal Masses ◽

Logistic Regression Models

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W111 LESION SIZE AFFECTS THE DIAGNOSTIC PERFORMANCE OF THE INTERNATIONAL OVARIAN TUMOR ANALYSIS (IOTA) LOGISTIC REGRESSION MODELS, THE IOTA SIMPLE RULES AND THE RISK OF MALIGNANCY INDEX TO ESTIMATE THE RISK OF MALIGNANCY IN ADNEXAL MASSES

International Journal of Gynecology & Obstetrics ◽

10.1016/s0020-7292(12)61836-0 ◽

2012 ◽

Vol 119 ◽

pp. S741-S741

Author(s):

A. Di Legge ◽

A.C. Testa ◽

L. Ameye ◽

B. Van Calster ◽

F. Leone ◽

...

Keyword(s):

Logistic Regression ◽

Ovarian Tumor ◽

Regression Models ◽

Diagnostic Performance ◽

Lesion Size ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Simple Rules ◽

Risk Of Malignancy ◽

Risk Of Malignancy Index

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Adnexal masses difficult to classify as benign or malignant using subjective assessment of gray-scale and Doppler ultrasound findings: logistic regression models do not help

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.9030 ◽

2011 ◽

Vol 38 (4) ◽

pp. 456-465 ◽

Cited By ~ 48

Author(s):

L. Valentin ◽

L. Ameye ◽

L. Savelli ◽

R. Fruscio ◽

F. P. G. Leone ◽

...

Keyword(s):

Logistic Regression ◽

Doppler Ultrasound ◽

Regression Models ◽

Subjective Assessment ◽

Gray Scale ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Ultrasound Findings

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Prospective evaluation of logistic regression models for the diagnosis of ovarian cancer

Obstetrics and Gynecology ◽

10.1016/s0029-7844(00)00835-8 ◽

2000 ◽

Vol 96 (1) ◽

pp. 75-80 ◽

Cited By ~ 31

Author(s):

N Aslam

Keyword(s):

Ovarian Cancer ◽

Logistic Regression ◽

Regression Models ◽

Prospective Evaluation ◽

Logistic Regression Models

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Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis

2011 11th International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2011.6121775 ◽

2011 ◽

Author(s):

Daniel Alvarez ◽

Roberto Hornero ◽

J. Victor Marcos ◽

Thomas Penzel ◽

Felix del Campo ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Apnea ◽

Regression Models ◽

Prospective Evaluation ◽

Logistic Regression Models ◽

Overnight Oximetry

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OP03.06: Role of risk of malignancy index RMI-IV with logistic regression models in the preoperative assessment of adnexal masses in postmenopausal patients

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.15128 ◽

2015 ◽

Vol 46 ◽

pp. 60-61

Author(s):

N. Abdalla ◽

J. Winiarek ◽

A. Timorek-Lemieszczuk ◽

W. Sawicki ◽

K. Cendrowski

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Preoperative Assessment ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Risk Of Malignancy ◽

Risk Of Malignancy Index

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OC21.02: Adnexal masses difficult to classify as benign or malignant using subjective evaluation of ultrasound findings: logistic regression models do not help

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.6575 ◽

2009 ◽

Vol 34 (S1) ◽

pp. 38-38

Author(s):

L. I. Valentin ◽

L. Ameye ◽

L. Savelli ◽

R. Fruscio ◽

F. Leone ◽

...

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Subjective Evaluation ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Ultrasound Findings

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Comparison of the Risk of Malignancy Index and Self-Constructed Logistic Regression Models in Preoperative Evaluation of Adnexal Masses

Journal of Ultrasound in Medicine ◽

10.7863/jum.2008.27.10.1469 ◽

2008 ◽

Vol 27 (10) ◽

pp. 1469-1477 ◽

Cited By ~ 3

Author(s):

Pýnar Yörük ◽

Özgür Dündar ◽

Begüm Yıldızhan ◽

Levent Tütüncü ◽

Tanju Pekin

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Preoperative Evaluation ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Risk Of Malignancy ◽

Risk Of Malignancy Index

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OC21.03: Inter-observer agreement in the calculated risk of malignancy in adnexal masses when using the logistic regression models (LR1 and LR2) of IOTA group

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.11356 ◽

2012 ◽

Vol 40 (S1) ◽

pp. 43-43

Author(s):

P. Sladkevicius ◽

L. Valentin

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Observer Agreement ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Risk Of Malignancy ◽

Calculated Risk

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OC21.02: Lesion size affects the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) logistic regression models, the IOTA simple rules and the risk of malignancy index to estimate the risk of malignancy in adnexal masses

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.11355 ◽

2012 ◽

Vol 40 (S1) ◽

pp. 42-43

Author(s):

A. Di Legge ◽

A. Testa ◽

L. Ameye ◽

B. Van Calster ◽

F. Leone ◽

...

Keyword(s):

Logistic Regression ◽

Ovarian Tumor ◽

Regression Models ◽

Diagnostic Performance ◽

Lesion Size ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Simple Rules ◽

Risk Of Malignancy ◽

Risk Of Malignancy Index

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Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses

Ultrasound in Obstetrics and Gynecology ◽

10.1002/uog.11167 ◽

2012 ◽

Vol 40 (3) ◽

pp. 345-354 ◽

Cited By ~ 14

Author(s):

A. Di Legge ◽

A. C. Testa ◽

L. Ameye ◽

B. Van Calster ◽

A. A. Lissoni ◽

...

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Diagnostic Performance ◽

Lesion Size ◽

Adnexal Masses ◽

Logistic Regression Models ◽

Simple Rules ◽

Risk Of Malignancy ◽

Risk Of Malignancy Index

Download Full-text