OBJECTIVE: To compare guidelines from the Royal College of Obstetricians and Gynaecologists (RCOG) based on the Risk of Malignancy Index (RMI) with a protocol based on logistic regression model LR2 developed by the International Ovarian Tumour Analysis (IOTA) group for triaging women with an ovarian mass as low, moderate, or high risk of malignancy. DESIGN AND SETTING: Observational diagnostic study conducted between 2005 and 2007 at 21 oncology referral centres, referral centres for ultrasonography and general hospitals. SAMPLE: In all, 1938 women undergoing surgery for an ovarian mass. METHODS: RCOG guidelines use the RMI to triage women as low (RMI < 25), moderate (25-250), or high (above >250) risk. The IOTA protocol uses LR2s estimated probability of malignancy (<0.05 indicates low risk, ≥ 0.05 but <0.25 moderate risk, and ≥ 0.25 high risk). MAIN OUTCOME MEASURE: Percentages of benign, borderline and invasive tumours classified as low, moderate or high risk. RESULTS: The IOTA and RCOG protocols classified 71.1% and 62.1% of benign tumours as low risk, respectively (difference 9.0; 95% CI 6.2-11.9, P < 0.0001). Of invasive tumours, 88.6% and 73.6% were labelled high risk (difference 15.0; 10.6-19.4, P < 0.0001), and 3.0% and 5.2% were labelled low risk (difference -2.2; -4.6 to 0.2, P = 0.07) respectively by each protocol. Similar results were found after stratification for menopausal status. CONCLUSIONS: The IOTA protocol was more accurate for triage than the RCOG protocol. The IOTA protocol would avoid major surgery for more women with benign tumours while still appropriately referring more women with an invasive tumour to a gynaecological oncologist.
OBJECTIVE: To compare guidelines from the Royal College of Obstetricians and Gynaecologists (RCOG) based on the Risk of Malignancy Index (RMI) with a protocol based on logistic regression model LR2 developed by the International Ovarian Tumour Analysis (IOTA) group for triaging women with an ovarian mass as low, moderate, or high risk of malignancy. DESIGN AND SETTING: Observational diagnostic study conducted between 2005 and 2007 at 21 oncology referral centres, referral centres for ultrasonography and general hospitals. SAMPLE: In all, 1938 women undergoing surgery for an ovarian mass. METHODS: RCOG guidelines use the RMI to triage women as low (RMI < 25), moderate (25-250), or high (above >250) risk. The IOTA protocol uses LR2s estimated probability of malignancy (<0.05 indicates low risk, ≥ 0.05 but <0.25 moderate risk, and ≥ 0.25 high risk). MAIN OUTCOME MEASURE: Percentages of benign, borderline and invasive tumours classified as low, moderate or high risk. RESULTS: The IOTA and RCOG protocols classified 71.1% and 62.1% of benign tumours as low risk, respectively (difference 9.0; 95% CI 6.2-11.9, P < 0.0001). Of invasive tumours, 88.6% and 73.6% were labelled high risk (difference 15.0; 10.6-19.4, P < 0.0001), and 3.0% and 5.2% were labelled low risk (difference -2.2; -4.6 to 0.2, P = 0.07) respectively by each protocol. Similar results were found after stratification for menopausal status. CONCLUSIONS: The IOTA protocol was more accurate for triage than the RCOG protocol. The IOTA protocol would avoid major surgery for more women with benign tumours while still appropriately referring more women with an invasive tumour to a gynaecological oncologist.
Authors: Sinead H McEvoy; Stephanie Nougaret; Nadeem R Abu-Rustum; Hebert Alberto Vargas; Elizabeth A Sadowski; Christine O Menias; Fuki Shitano; Shinya Fujii; Ramon E Sosa; Joanna G Escalon; Evis Sala; Yulia Lakhman Journal: Abdom Radiol (NY) Date: 2017-10
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
Authors: Riikka Johanna Niemi; Sami Kristian Saarelainen; Tiina Hannele Luukkaala; Johanna Unelma Mäenpää Journal: J Ovarian Res Date: 2017-03-14 Impact factor: 4.234
Authors: Isabelle Thomassin-Naggara; Edouard Poncelet; Aurelie Jalaguier-Coudray; Adalgisa Guerra; Laure S Fournier; Sanja Stojanovic; Ingrid Millet; Nishat Bharwani; Valerie Juhan; Teresa M Cunha; Gabriele Masselli; Corinne Balleyguier; Caroline Malhaire; Nicolas F Perrot; Elizabeth A Sadowski; Marc Bazot; Patrice Taourel; Raphaël Porcher; Emile Darai; Caroline Reinhold; Andrea G Rockall Journal: JAMA Netw Open Date: 2020-01-03