ADNEX model - Evidencio

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The ADNEX model is a risk prediction model that can estimate the risk of a tumour being benign or malignant in women with an adnexal mass, as well as estimating the risk of a malignant tumour being classified as borderline, stage I cancer, stage II-IV cancer, or as a metastatic ovarian tumour.

Research authors: Ben van Calster, Kirsten van Hoorde, Lil Valentin, Antonia C. Testa, Daniela Fischerova, Caroline van Holsbeke, Luca Savelli, Dorella Franchi, Elisabeth Epstein, Jeroen Kaijser, Vanya van Belle, Artur Czekierdowski, Stefano Guerriero, Robert Fruscio, Chiara Lanzani, Felice Scala, Tom Bourne, Dirk Timmerman

Version: 2.0

Public
Gynaecology
{{ modelType }}

V-2.0-945.25.08.12

(01)08720938015311(8012)v2.0(4326)250812(240)945

Download the User manual and consult the Intended purpose.

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Conditional information

The bar chart provides an estimation of risk between benign and malignant adnexal tumours, as well as providing a risk estimation between four malignant tumour classifications (borderline tumour, stage I cancer, stage II-IV cancer, and secondary metastatic tumour). Borderline tumours are classified as malignant tumours, providing similarity with scientific literature evaluating the performance of the ADNEX model.

There is no confirmed cut-off point for the risk of malignancy. Please consult clinical guidelines for the recommended cut-off point.

The ADNEX model was developed by Van Calster et al. in 2014. For more information on the ADNEX model, see the practical guidance by Van Calster et al. 2015.

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Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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Details

Algorithm author

T. A. Hueting

Algorithm ID

945

Version

2.0

Revision date

2025-08-12

Specialty

Gynaecology , Oncology

Algorithm type

R-Script algorithm ^{(Calculation)}

MeSH terms

Gynecology

Surgical Oncology

Ovarian Cancer

Status

Public

Condition	Formula

Study characteristics

Additional information

The model was developed on 3506 women, temporally validated on 2403 women and then updated on all 5909 women. The observed rate of malignancy varied between 22% and 66% in oncology centres and between 0% and 30% in other hospitals. Descriptive statistics shown are characteristics of the patients in the Benign group. Follow the linked reference to see all the patient characteristics of all the patients.

Study Population

Total population size: 5909

Males: {{ model.numberOfMales }}

Females: {{ model.numberOfFemales }}

Continuous characteristics

Name	Q1	Median	Q3	Unit
Age	32	42	54	years
serum CA-125	11	18	39	U/mL
Maximum diameter of lesion	45	63	87	mm
Proportion solid tissue if present	20	42	100	mm

Categorical characteristics

Name	Subset / Group	Nr. of patients
No of papillary projections:	0	3424
No of papillary projections:	1	333
No of papillary projections:	2	80
No of papillary projections:	3	66
No of papillary projections:	>3	77
Acoustic shadows	No	3304
Acoustic shadows	Yes	676
Ascites	No	3916
Ascites	Yes	64
Family history of ovarian cancer	No	3901
Family history of ovarian cancer	Yes	79
Solid tissue	Absent	2658
Solid tissue	Present	1322
Cyst locules	≤10	3781
Cyst locules	>10	199

Supporting Publications

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Extra Information

	Evidencio B.V., Irenesingel 19, 7481 GJ Haaksbergen, The Netherlands
	V-2.0-945.25.08.12
	(01)08720938015311(8012)v2.0(4326)250812(240)945
	Download the User manual
	Medical device In vitro diagnostic medical device

Download the Declaration of conformity

This algorithm has been certified as a medical device

V-2.0-945.25.08.12

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Study characteristics

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Study Population

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Categorical characteristics

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Related files

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