Validation of the Performance of International Ovarian Tumor Analysis (IOTA) Methods in the Diagnosis of Early Stage Ovarian Cancer in a Non-Screening Population
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
PubMed
28574444
PubMed Central
PMC5489952
DOI
10.3390/diagnostics7020032
PII: diagnostics7020032
Knihovny.cz E-zdroje
- Klíčová slova
- diagnostic imaging, early detection of cancer, logistic models, ovarian neoplasms, ovary, risk assessment, ultrasonography,
- Publikační typ
- časopisecké články MeSH
BACKGROUND: The aim of this study was to assess and compare the performance of different ultrasound-based International Ovarian Tumor Analysis (IOTA) strategies and subjective assessment for the diagnosis of early stage ovarian malignancy. METHODS: This is a secondary analysis of a prospective multicenter cross-sectional diagnostic accuracy study that included 1653 patients recruited at 18 centers from 2009 to 2012. All patients underwent standardized transvaginal ultrasonography by experienced ultrasound investigators. We assessed test performance of the IOTA Simple Rules (SRs), Simple Rules Risk (SRR), the Assessment of Different NEoplasias in the adneXa (ADNEX) model and subjective assessment to discriminate between stage I-II ovarian cancer and benign disease. Reference standard was histology after surgery. RESULTS: 230 (13.9%) patients proved to have stage I-II primary invasive ovarian malignancy, and 1423 (86.1%) had benign disease. Sensitivity and specificity with respect to malignancy (95% confidence intervals) of the original SRs (classifying all inconclusive cases as malignant) were 94.3% (90.6% to 96.7%) and 73.4% (71.0% to 75.6%). Subjective assessment had a sensitivity and specificity of 90.0% (85.4% to 93.2%) and 86.7% (84.9% to 88.4%), respectively. The areas under the receiver operator characteristic curves of SRR and ADNEX were 0.917 (0.902 to 0.933) and 0.905 (0.920 to 0.934), respectively. At a 1% risk cut-off, sensitivity and specificity for SRR were 100% (98.4% to 100%) and 38.0% (35.5% to 40.6%), and for ADNEX were 100% (98.4% to 100%) and 19.4% (17.4% to 21.5%). At a 30% risk cut-off, sensitivity and specificity for SRR were 88.3% (83.5% to 91.8%) and 81.1% (79% to 83%), and for ADNEX were 84.5% (80.5% to 89.6%) and 84.5% (82.6% to 86.3%). CONCLUSION: This study shows that all three IOTA strategies have good ability to discriminate between stage I-II ovarian malignancy and benign disease.
Department of Development and Regeneration KU Leuven Leuven post code3000 Belgium
Department of Obstetrics and Gynecology University Hospitals Leuven Leuven 3000 Belgium
Department of Oncology Catholic University of the Sacred Heart Rome 00168 Italy
Preventive Gynecology Unit Division of Gynecology European Institute of Oncology Milan 20141 Italy
Queen Charlotte's and Chelsea Hospital Imperial College London W12 0HS UK
Zobrazit více v PubMed
Pavlik E.J., Ueland F.R., Miller R.W., Ubellacker J.M., DeSimone C.P., Elder J., Hoff J., Baldwin L., Kryscio R.J., van Nagell J.R., Jr. Frequency and disposition of ovarian abnormalities followed with serial transvaginal ultrasonography. Obstet. Gynecol. 2013;122:210–217. doi: 10.1097/AOG.0b013e318298def5. PubMed DOI
Castillo G., Alcazar J.L., Jurado M. Natural history of sonographically detected simple unilocular adnexal cysts in asymptomatic postmenopausal women. Gynecol. Oncol. 2004;92:965–969. doi: 10.1016/j.ygyno.2003.11.029. PubMed DOI
Borgfeldt C., Andolf E. Transvaginal sonographic ovarian findings in a random sample of women 25–40 years old. Ultrasound Obstet. Gynecol. 1999;13:345–350. doi: 10.1046/j.1469-0705.1999.13050345.x. PubMed DOI
Curtin J.P. Management of the Adnexal Mass. Gynecol. Oncol. 1994;55:S42–S46. doi: 10.1006/gyno.1994.1340. PubMed DOI
Ferlay J., Steliarova-Foucher E., Lortet-Tieulent J., Rosso S., Coebergh J.W., Comber H., Forman D., Bray F. Cancer incidence and mortality patterns in Europe: Estimates for 40 countries in 2012. Eur. J. Cancer. 2013;49:1374–1403. doi: 10.1016/j.ejca.2012.12.027. PubMed DOI
Cancer Research UK. [(accessed on 20 November 2016)]; Available online: www.cancerresearchuk.org.
Vaughan S., Coward J.I., Bast R.C., Jr., Berchuck A., Berek J.S., Brenton J.D., Coukos G., Crum C.C., Drapkin R., Etemadmoghadam D., et al. Rethinking ovarian cancer: Recommendations for improving outcomes. Nat. Rev. Cancer. 2011;11:719–725. doi: 10.1038/nrc3144. PubMed DOI PMC
Heintz A.P.M., Odicino F., Maisonneuve P., Quinn M.A., Benedet J.L., Creasman W.T., Ngan H.Y.S., Pecorelli S., Beller U. Carcinoma of the Ovary. Int. J. Gynecol. Obstet. 2006;95:S161–S192. doi: 10.1016/S0020-7292(06)60033-7. PubMed DOI
Kobayashi H., Yamada Y., Sado T., Sakata M., Yoshida S., Kawaguchi R., Kanayama S., Shigetomi H., Haruta S., Tsuji Y., et al. A randomized study of screening for ovarian cancer: A multicenter study in Japan. Int. J. Gynecol. Cancer. 2008;18:414–420. doi: 10.1111/j.1525-1438.2007.01035.x. PubMed DOI
Buys S.S. Effect of Screening on Ovarian Cancer Mortality. JAMA. 2011;305:2295. doi: 10.1001/jama.2011.766. PubMed DOI
Jacobs I.J., Menon U., Ryan A., Gentry-Maharaj A., Burnell M., Kalsi J.K., Amso N.N., Apostolidou S., Benjamin E., Cruickshank D., et al. Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): A randomised controlled trial. Lancet. 2016;387:945–956. doi: 10.1016/S0140-6736(15)01224-6. PubMed DOI PMC
Paulsen T., Kjaerheim K., Kaern J., Tretli S., Tropé C. Improved short-term survival for advanced ovarian, tubal, and peritoneal cancer patients operated at teaching hospitals. Int. J. Gynecol. Cancer. 2006;16:11–17. doi: 10.1111/j.1525-1438.2006.00319.x. PubMed DOI
Engelen M.J., Kos H.E., Willemse P.H., Aalders J.G., de Vries E.G., Schaapveld M., Otter R., van der Zee A.G. Surgery by consultant gynecologic oncologists improves survival in patients with ovarian carcinoma. Cancer. 2006;106:589–598. doi: 10.1002/cncr.21616. PubMed DOI
Earle C.C., Schrag D., Neville B.A., Yabroff K.R., Topor M., Fahey A., Trimble E.L., Bodurka D.C., Bristow R.E., Carney M., et al. Effect of surgeon specialty on processes of care and outcomes for ovarian cancer patients. J. Natl. Cancer Inst. 2006;98:172–180. doi: 10.1093/jnci/djj019. PubMed DOI
Woo Y.L., Kyrgiou M., Bryant A., Everett T., Dickinson H.O. Centralisation of services for gynaecological cancer—A Cochrane Systematic Review. Gynecol. Oncol. 2012;126:286–290. doi: 10.1016/j.ygyno.2012.04.012. PubMed DOI
Valentin L., Hagen B., Tingulstad S., Eik-Nes S. Comparison of “pattern recognition” and logistic regression models for discrimination between benign and malignant pelvic masses: A prospective cross validation. Ultrasound Obstet. Gynecol. 2001;18:357–365. doi: 10.1046/j.0960-7692.2001.00500.x. PubMed DOI
Timmerman D. The use of mathematical models to evaluate pelvic masses; can they beat an expert operator? Best Pract. Res. Clin. Obstet. Gynaecol. 2004;18:91–104. doi: 10.1016/j.bpobgyn.2003.09.009. PubMed DOI
Meys E.M., Kaijser J., Kruitwagen R.F., Slangen B.F., van Calster B., Aertgeerts B., Verbakel J.Y., Timmerman D., van Gorp T. Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis. Eur. J. Cancer. 2016;58:17–29. doi: 10.1016/j.ejca.2016.01.007. PubMed DOI
Timmerman D., Valentin L., Bourne T., Collins W.P., Verrelst H., Vergote I. Terms, definitions and measurements to describe the sonographic features of adnexal tumors: A consensus opinion from the International Ovarian Tumor Analysis (IOTA) group. Ultrasound Obstet. Gynecol. 2000;16:500–505. doi: 10.1046/j.1469-0705.2000.00287.x. PubMed DOI
Timmerman D., Testa A.C., Bourne T., Ameye L., Jurkovic D., van Holsbeke C., Paladini D., van Calster B., Vergote I., van Huffel S., et al. Simple ultrasound-based rules for the diagnosis of ovarian cancer. Ultrasound Obstet. Gynecol. 2008;31:681–690. doi: 10.1002/uog.5365. PubMed DOI
Royal College of Obstetricians and Gynaecologists . Management of Suspected Ovarian Masses in Premenopausal Women. Royal College of Obstetricians and Gynaecologists; London, UK: 2011. Green-top Guideline No. 62.
The American College of Obstetricians and Gynecologists Practice bulletin—Evaluation and Management of Adnexal Masses. Obstet. Gynecol. 2016;128:e210–e226. PubMed
Kaijser J., Sayasneh A., van Hoorde K., Ghaem-Maghami S., Bourne T., Timmerman D., van Calster B. Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: A systematic review and meta-analysis. Hum. Reprod. Update. 2014;20:449–462. doi: 10.1093/humupd/dmt059. PubMed DOI
Timmerman D., van Calster B., Testa A., Savelli L., Fischerova D., Froyman W., Wynants L., van Holsbeke C., Epstein E., Franchi D., et al. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group. Am. J. Obstet. Gynecol. 2016;214:424–437. doi: 10.1016/j.ajog.2016.01.007. PubMed DOI
Van Calster B., van Hoorde K., Valentin L., Testa A.C., Fischerova D., van Holsbeke C., Savelli L., Franchi D., Epstein E., Kaijser J., et al. International Ovarian Tumour Analysis, G. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: Prospective multicentre diagnostic study. BMJ. 2014;349:g5920. doi: 10.1136/bmj.g5920. PubMed DOI PMC
Meys E.M., Jeelof L.S., Achten N.M., Slangen B.F., Lambrechts S., Kruitwagen R.F., van Gorp T. Estimating the risk of malignancy in adnexal masses: An external validation of the ADNEX model and comparison with other frequently used ultrasound methods. Ultrasound Obstet. Gynecol. 2016 doi: 10.1002/uog.17225. PubMed DOI PMC
Sayasneh A., Ferrara L., de Cock B., Saso S., Al-Memar M., Johnson S., Kaijser J., Carvalho J., Husicka R., Smith A., et al. Evaluating the risk of ovarian cancer before surgery using the ADNEX model: A multicentre external validation study. Br. J. Cancer. 2016;115:542–548. doi: 10.1038/bjc.2016.227. PubMed DOI PMC
Szubert S., Wojtowicz A., Moszynski R., Zywica P., Dyczkowski K., Stachowiak A., Sajdak S., Szpurek D., Alcazar J.L. External validation of the IOTA ADNEX model performed by two independent gynecologic centers. Gynecol. Oncol. 2016;142:490–495. doi: 10.1016/j.ygyno.2016.06.020. PubMed DOI
Araujo K.G., Jales R.M., Pereira P.N., Yoshida A., de Angelo Andrade L., Sarian L.O., Derchain S. Performance of the IOTA ADNEX model in the preoperative discrimination of adnexal masses in a gynecologic oncology center. Ultrasound Obstet. Gynecol. 2016 doi: 10.1002/uog.15963. PubMed DOI
Joyeux E., Miras T., Masquin I., Duglet P.E., Astruc K., Douvier S. Before surgery predictability of malignant ovarian tumors based on ADNEX model and its use in clinical practice. Gynecol. Obstet. Fertil. 2016;44:557–564. doi: 10.1016/j.gyobfe.2016.07.007. PubMed DOI
Testa A., Kaijser J., Wynants L., Fischerova D., van Holsbeke C., Franchi D., Savelli L., Epstein E., Czekierdowski A., Guerriero S., et al. Strategies to diagnose ovarian cancer: New evidence from phase 3 of the multicentre international IOTA study. Br. J. Cancer. 2014;111:680–688. doi: 10.1038/bjc.2014.333. PubMed DOI PMC
DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics. 1988;44:837–845. doi: 10.2307/2531595. PubMed DOI
Wilson E.B. Probable inference, the law of succession, and statistical inference. J. Am. Stat. Assoc. 1927;22:209–212. doi: 10.1080/01621459.1927.10502953. DOI
Collins G.S., Reitsma J.B., Altman D.G., Moons K.G. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement. BMJ. 2015;350:g7594. doi: 10.1136/bmj.g7594. PubMed DOI
Hartman C.A., Juliato C.R., Sarian L.O., Toledo M.C., Jales R.M., Morais S.S., Pitta D.D., Marussi E.F., Derchain S. Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors. Ultrasound Obstet. Gynecol. 2012;40:360–366. doi: 10.1002/uog.11201. PubMed DOI
Alcazar J.L., Pascual M.A., Olartecoechea B., Graupera B., Auba M., Ajossa S., Hereter L., Julve R., Gaston B., Peddes C., et al. IOTA simple rules for discriminating between benign and malignant adnexal masses: Prospective external validation. Ultrasound Obstet. Gynecol. 2013;42:467–471. doi: 10.1002/uog.12664. PubMed DOI
Sayasneh A., Wynants L., Preisler J., Kaijser J., Johnson S., Stalder C., Husicka R., Abdallah Y., Raslan F., Drought A., et al. Multicentre external validation of IOTA prediction models and RMI by operators with varied training. Br. J. Cancer. 2013;108:2448–2454. doi: 10.1038/bjc.2013.224. PubMed DOI PMC
Nunes N., Ambler G., Foo X., Naftalin J., Widschwendter M., Jurkovic D. Use of IOTA simple rules for diagnosis of ovarian cancer: Meta-analysis. Ultrasound Obstet. Gynecol. 2014;44:503–514. doi: 10.1002/uog.13437. PubMed DOI
Tinnangwattana D., Vichak-ururote L., Tontivuthikul P., Charoenratana C., Lerthiranwong T., Tongsong T. IOTA Simple Rules in Differentiating between Benign and Malignant Adnexal Masses by Non-expert Examiners. Asian Pac. J. Cancer Prev. 2015;16:3835–3838. doi: 10.7314/APJCP.2015.16.9.3835. PubMed DOI
Ruiz de Gauna B., Rodriguez D., Olartecoechea B., Auba M., Jurado M., Gomez Roig M.D., Alcazar J.L. Diagnostic performance of IOTA simple rules for adnexal masses classification: A comparison between two centers with different ovarian cancer prevalence. Eur. J. Obstet. Gynecol. Reprod. Biol. 2015;191:10–14. doi: 10.1016/j.ejogrb.2015.05.024. PubMed DOI
Knafel A., Banas T., Nocun A., Wiechec M., Jach R., Ludwin A., Kabzinska-Turek M., Pietrus M., Pitynski K. The Prospective External Validation of International Ovarian Tumor Analysis (IOTA) Simple Rules in the Hands of Level I and II Examiners. Ultraschall Med. 2015;37:516–523. doi: 10.1055/s-0034-1398773. PubMed DOI
Shih I.-M., Kurman R. Ovarian Tumorigenesis—A Proposed Model Based on Morphological and Molecular Genetic Analysis. Am. J. Pathol. 2004;164:1511–1518. doi: 10.1016/S0002-9440(10)63708-X. PubMed DOI PMC
Valentin L., Ameye L., Jurkovic D., Metzger U., Lecuru F., van Huffel S., Timmerman D. Which extrauterine pelvic masses are difficult to correctly classify as benign or malignant on the basis of ultrasound findings and is there a way of making a correct diagnosis? Ultrasound Obstet. Gynecol. 2006;27:438–444. doi: 10.1002/uog.2707. PubMed DOI
Valentin L., Ameye L., Savelli L., Fruscio R., Leone F.P., Czekierdowski A., Lissoni A.A., Fischerova D., Guerriero S., van Holsbeke C., et al. 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 Obstet. Gynecol. 2011;38:456–465. doi: 10.1002/uog.9030. PubMed DOI
Vergote I., Amant F., Ameye L., Timmerman D. Screening for ovarian carcinoma: Not quite there yet. Lancet Oncol. 2009;10:308–309. doi: 10.1016/S1470-2045(09)70072-5. PubMed DOI
Fischerova D., Zikan M., Dundr P., Cibula D. Diagnosis, treatment, and follow-up of borderline ovarian tumors. Oncologist. 2012;17:1515–1533. doi: 10.1634/theoncologist.2012-0139. PubMed DOI PMC
Vergote I., de Brabander J., Fyles A., Bertelsen K., Einhorn N., Sevelda P., Gore M., Kaern J., Verrelst H., Sjövall K., et al. Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma. Lancet. 2001;357:176–182. doi: 10.1016/S0140-6736(00)03590-X. PubMed DOI
Ledermann J.A., Raja F.A., Fotopoulou C., Gonzalez-Martin A., Colombo N., Sessa C., Group E.G.W. Newly diagnosed and relapsed epithelial ovarian carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2013;24(Suppl. S6):vi24–vi32. doi: 10.1093/annonc/mdt333. PubMed DOI
Kurman R.J., Shih I.-M. Molecular pathogenesis and extraovarian origin of epithelial ovarian cancer—Shifting the paradigm. Hum. Pathol. 2011;42:918–931. doi: 10.1016/j.humpath.2011.03.003. PubMed DOI PMC
Amant F., Verheecke M., Wlodarska I., Dehaspe L., Brady P., Brison N., van Den Bogaert K., Dierickx D., Vandecaveye V., Tousseyn T., et al. Presymptomatic Identification of Cancers in Pregnant Women During Noninvasive Prenatal Testing. JAMA Oncol. 2015;1:814–819. doi: 10.1001/jamaoncol.2015.1883. PubMed DOI
Vanderstichele A., Busschaert P., Smeets D., Landolfo C., van Nieuwenhuysen E., Leunen K., Neven P., Amant F., Mahner S., Braicu E.I., et al. Chromosomal Instability in Cell-Free DNA as a Highly Specific Biomarker for Detection of Ovarian Cancer in Women with Adnexal Masses. Clin. Cancer Res. 2016 doi: 10.1158/1078-0432.CCR-16-1078. PubMed DOI