| 1. |
- Froyman, Wouter, et al.
(författare)
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Risk of complications in patients with conservatively managed ovarian tumours (IOTA5) : a 2-year interim analysis of a multicentre, prospective, cohort study
- 2019
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Ingår i: The Lancet Oncology. - 1470-2045 .- 1474-5488. ; 20:3, s. 448-458
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Tidskriftsartikel (refereegranskat)abstract
- Background: Ovarian tumours are usually surgically removed because of the presumed risk of complications. Few large prospective studies on long-term follow-up of adnexal masses exist. We aimed to estimate the cumulative incidence of cyst complications and malignancy during the first 2 years of follow-up after adnexal masses have been classified as benign by use of ultrasonography. Methods: In the international, prospective, cohort International Ovarian Tumor Analysis Phase 5 (IOTA5) study, patients aged 18 years or older with at least one adnexal mass who had been selected for surgery or conservative management after ultrasound assessment were recruited consecutively from 36 cancer and non-cancer centres in 14 countries. Follow-up of patients managed conservatively is ongoing at present. In this 2-year interim analysis, we analysed patients who were selected for conservative management of an adnexal mass judged to be benign on ultrasound on the basis of subjective assessment of ultrasound images. Conservative management included ultrasound and clinical follow-up at intervals of 3 months and 6 months, and then every 12 months thereafter. The main outcomes of this 2-year interim analysis were cumulative incidence of spontaneous resolution of the mass, torsion or cyst rupture, or borderline or invasive malignancy confirmed surgically in patients with a newly diagnosed adnexal mass. IOTA5 is registered with ClinicalTrials.gov, number NCT01698632, and the central Ethics Committee and the Belgian Federal Agency for Medicines and Health Products, number S51375/B32220095331, and is ongoing. Findings: Between Jan 1, 2012, and March 1, 2015, 8519 patients were recruited to IOTA5. 3144 (37%) patients selected for conservative management were eligible for inclusion in our analysis, of whom 221 (7%) had no follow-up data and 336 (11%) were operated on before a planned follow-up scan was done. Of 2587 (82%) patients with follow-up data, 668 (26%) had a mass that was already in follow-up at recruitment, and 1919 (74%) presented with a new mass at recruitment (ie, not already in follow-up in the centre before recruitment). Median follow-up of patients with new masses was 27 months (IQR 14–38). The cumulative incidence of spontaneous resolution within 2 years of follow-up among those with a new mass at recruitment (n=1919) was 20·2% (95% CI 18·4–22·1), and of finding invasive malignancy at surgery was 0·4% (95% CI 0·1–0·6), 0·3% (<0·1–0·5) for a borderline tumour, 0·4% (0·1–0·7) for torsion, and 0·2% (<0·1–0·4) for cyst rupture. Interpretation: Our results suggest that the risk of malignancy and acute complications is low if adnexal masses with benign ultrasound morphology are managed conservatively, which could be of value when counselling patients, and supports conservative management of adnexal masses classified as benign by use of ultrasound. Funding: Research Foundation Flanders, KU Leuven, Swedish Research Council.
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| 2. |
- Green, Rasmus W., et al.
(författare)
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Endometrial cancer off-line staging using two-dimensional transvaginal ultrasound and three-dimensional volume contrast imaging : Intermethod agreement, interrater reliability and diagnostic accuracy
- 2018
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Ingår i: Gynecologic Oncology. - : Elsevier BV. - 0090-8258 .- 1095-6859. ; 150:3, s. 438-445
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: The aim is to estimate agreement between two-dimensional transvaginal ultrasound (2D-TVS) and three-dimensional volume contrast imaging (3D-VCI) in diagnosing deep myometrial invasion (MI) and cervical stromal involvement (CSI) of endometrial cancer and to compare the two methods regarding inter-rater reliability and diagnostic accuracy. Methods: Fifteen ultrasound experts assessed off-line de-identified 3D-VCI volumes and 2D-TVU video clips from 58 patients with biopsy-confirmed endometrial cancer regarding the presence of deep (≥50%) MI and CSI. Video clips and 3D volumes were assessed independently. Interrater reliability was measured using kappa statistics. Histological diagnosis after hysterectomy served as gold standard. Accuracy measurements were correlated to rater experience using Spearman's rank correlation coefficient (ρ). Results: Agreement between 2D-TVU and 3D-VCI for diagnosing MI was median 76% (range 64–93%) and for CSI median 88% (range 79–97%). Interrater reliability was better for 2D-TVU than for 3D-VCI (Fleiss' kappa 0.41 vs. 0.31 for MI and 0.55 vs. 0.45 for CSI). Median accuracy for diagnosing deep MI was 76% (range 59–84%) with 2D-TVU and 69% (range 52–83%) for 3D-VCI; the corresponding figures for CSI were 88% (range 81–93%) and 86% (range 72–95%). Accuracy was significantly correlated to how many cases the raters assessed annually. Conclusions: Off-line assessment of MI and CSI in women with endometrial cancer using 3D-VCI has lower interrater reliability and lower accuracy than 2D-TVU video clip assessment. Since accuracy was correlated to the number of cases assessed annually it is advised to centralize these examinations to high-volume centres.
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| 3. |
- Ledger, Ashleigh, et al.
(författare)
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Multiclass risk models for ovarian malignancy : an illustration of prediction uncertainty due to the choice of algorithm
- 2023
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Ingår i: BMC Medical Research Methodology. - 1471-2288. ; 23:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Assessing malignancy risk is important to choose appropriate management of ovarian tumors. We compared six algorithms to estimate the probabilities that an ovarian tumor is benign, borderline malignant, stage I primary invasive, stage II-IV primary invasive, or secondary metastatic. Methods: This retrospective cohort study used 5909 patients recruited from 1999 to 2012 for model development, and 3199 patients recruited from 2012 to 2015 for model validation. Patients were recruited at oncology referral or general centers and underwent an ultrasound examination and surgery ≤ 120 days later. We developed models using standard multinomial logistic regression (MLR), Ridge MLR, random forest (RF), XGBoost, neural networks (NN), and support vector machines (SVM). We used nine clinical and ultrasound predictors but developed models with or without CA125. Results: Most tumors were benign (3980 in development and 1688 in validation data), secondary metastatic tumors were least common (246 and 172). The c-statistic (AUROC) to discriminate benign from any type of malignant tumor ranged from 0.89 to 0.92 for models with CA125, from 0.89 to 0.91 for models without. The multiclass c-statistic ranged from 0.41 (SVM) to 0.55 (XGBoost) for models with CA125, and from 0.42 (SVM) to 0.51 (standard MLR) for models without. Multiclass calibration was best for RF and XGBoost. Estimated probabilities for a benign tumor in the same patient often differed by more than 0.2 (20% points) depending on the model. Net Benefit for diagnosing malignancy was similar for algorithms at the commonly used 10% risk threshold, but was slightly higher for RF at higher thresholds. Comparing models, between 3% (XGBoost vs. NN, with CA125) and 30% (NN vs. SVM, without CA125) of patients fell on opposite sides of the 10% threshold. Conclusion: Although several models had similarly good performance, individual probability estimates varied substantially.
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| 4. |
- Pinto, Patrícia, et al.
(författare)
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Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging : a multicenter prospective cross-sectional survey
- 2024
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Ingår i: International Journal of Gynecological Cancer. - 1048-891X.
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Tidskriftsartikel (refereegranskat)abstract
- Background In addition to the diagnostic accuracy of imaging methods, patient-reported satisfaction with imaging methods is important. Objective To report a secondary outcome of the prospective international multicenter Imaging Study in Advanced ovArian Cancer (ISAAC Study), detailing patients’ experience with abdomino-pelvic ultrasound, whole-body contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) for pre-operative ovarian cancer work-up. Methods In total, 144 patients with suspected ovarian cancer at four institutions in two countries (Italy, Czech Republic) underwent ultrasound, CT, and WB-DWI/ MRI for pre-operative work-up between January 2020 and November 2022. After having undergone all three examinations, the patients filled in a questionnaire evaluating their overall experience and experience in five domains: preparation before the examination, duration of examination, noise during the procedure, radiation load of CT, and surrounding space. Pain perception, examination-related patient-perceived unexpected, unpleasant, or dangerous events (‘adverse events’), and preferred method were also noted. Results Ultrasound was the preferred method by 49% (70/144) of responders, followed by CT (38%, 55/144), and WB-DWI/MRI (13%, 19/144) (p<0.001). The poorest experience in all domains was reported for WB-DWI/ MRI, which was also associated with the largest number of patients who reported adverse events (eg, dyspnea). Patients reported higher levels of pain during the ultrasound examination than during CT and WB-DWI/MRI (p<0.001): 78% (112/144) reported no pain or mild pain, 19% (27/144) moderate pain, and 3% (5/144) reported severe pain (pain score >7 of 10) during the ultrasound examination. We did not identify any factors related to patients' preferred method.for diagnosing malignant ovarian tumors3 but has rarely been used for pre-operative ovarian cancer work-up.4–7 In 2022, the results of a prospective single-unit study indicated that ultrasound might be an alternative to CT and whole-body diffusion-weighted (WB-DWI)/ MRI for ovarian cancer work-up and prediction of tumor resectability.8 In the recently published European Society of Gynecological Oncology/European Society of Medical Oncology/European Society of Pathology (ESGO/ESMO/ESP) consensus conference recommendations on ovarian cancer, ultrasound is suggested to be an effective alternative to CT, MRI and PET-CT to assess tumor extent and tumor resectability in the pelvis and abdomen.2 In addition to diagnostic accuracy and costs of an imaging method, patient acceptance and preference are important before an imaging test is implemented in clinical practice.9 10 Although there is evidence regarding patients’ experience of and satisfaction with ultrasound,11 12 CT,13–17 and WB-DWI/MRI,16 18–20 little is known about how these three imaging modalities compare when applied in the same patient. Many factors can influence a patient’s experience with an imaging examination—for example, preparation for, and duration of, the examination; use of contrast agent (especially iodinated contrast agent); radiation dose (which depends on the duration of radiation exposure, distance from the radiation source, and physical shielding); noise, feeling of claustrophobia, and occurrence of unexpected unpleasant or dangerous events (adverse events).21–25 The aim of this study is to report a secondary outcome of the prospective, multicentric Imaging Study in Advanced ovArian Cancer (ISAAC Study)—namely, patients’ experience with ultrasound, CT, and WB-DWI/MRI for pre-operative estimation of the extent of ovarian cancer.
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| 5. |
- Timmerman, Dirk, et al.
(författare)
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Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis (IOTA) group.
- 2016
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Ingår i: American Journal of Obstetrics and Gynecology. - : Elsevier BV. - 1097-6868 .- 0002-9378. ; 214:4, s. 424-437
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Tidskriftsartikel (refereegranskat)abstract
- Accurate methods to preoperatively characterize adnexal tumors are pivotal for optimal patient management. A recent meta-analysis concluded that the International Ovarian Tumor Analysis (IOTA) algorithms such as the Simple Rules are the best approaches to preoperatively classify adnexal masses as benign or malignant. We sought to develop and validate a model to predict the risk of malignancy in adnexal masses using the ultrasound features in the Simple Rules. STUDY DESIGN: This was an international cross-sectional cohort study involving 22 oncology centers, referral centers for ultrasonography, and general hospitals. We included consecutive patients with an adnexal tumor who underwent a standardized transvaginal ultrasound examination and were selected for surgery. Data on 5020 patients were recorded in 3 phases from 2002 through 2012. The 5 Simple Rules features indicative of a benign tumor (B-features) and the 5 features indicative of malignancy (M-features) are based on the presence of ascites, tumor morphology, and degree of vascularity at ultrasonography. Gold standard was the histopathologic diagnosis of the adnexal mass (pathologist blinded to ultrasound findings). Logistic regression analysis was used to estimate the risk of malignancy based on the 10 ultrasound features and type of center. The diagnostic performance was evaluated by area under the receiver operating characteristic curve, sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), positive predictive value (PPV), negative predictive value (NPV), and calibration curves. RESULTS: Data on 4848 patients were analyzed. The malignancy rate was 43% (1402/3263) in oncology centers and 17% (263/1585) in other centers. The area under the receiver operating characteristic curve on validation data was very similar in oncology centers (0.917; 95% confidence interval, 0.901-0.931) and other centers (0.916; 95% confidence interval, 0.873-0.945). Risk estimates showed good calibration. In all, 23% of patients in the validation data set had a very low estimated risk (<1%) and 48% had a high estimated risk (≥30%). For the 1% risk cutoff, sensitivity was 99.7%, specificity 33.7%, LR+ 1.5, LR- 0.010, PPV 44.8%, and NPV 98.9%. For the 30% risk cutoff, sensitivity was 89.0%, specificity 84.7%, LR+ 5.8, LR- 0.13, PPV 75.4%, and NPV 93.9%. CONCLUSION: Quantification of the risk of malignancy based on the Simple Rules has good diagnostic performance both in oncology centers and other centers. A simple classification based on these risk estimates may form the basis of a clinical management system. Patients with a high risk may benefit from surgery by a gynecological oncologist, while patients with a lower risk may be managed locally.
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| 6. |
- Timmerman, Stefan, et al.
(författare)
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External Validation of the Ovarian-Adnexal Reporting and Data System (O-RADS) Lexicon and the International Ovarian Tumor Analysis 2-Step Strategy to Stratify Ovarian Tumors Into O-RADS Risk Groups
- 2023
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Ingår i: JAMA Oncology. - : American Medical Association (AMA). - 2374-2437 .- 2374-2445. ; 9:2, s. 225-233
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Tidskriftsartikel (refereegranskat)abstract
- IMPORTANCE: Correct diagnosis of ovarian cancer results in better prognosis. Adnexal lesions can be stratified into the Ovarian-Adnexal Reporting and Data System (O-RADS) risk of malignancy categories with either the O-RADS lexicon, proposed by the American College of Radiology, or the International Ovarian Tumor Analysis (IOTA) 2-step strategy.OBJECTIVE: To investigate the diagnostic performance of the O-RADS lexicon and the IOTA 2-step strategy.DESIGN, SETTING, AND PARTICIPANTS: Retrospective external diagnostic validation study based on interim data of IOTA5, a prospective international multicenter cohort study, in 36 oncology referral centers or other types of centers. A total of 8519 consecutive adult patients presenting with an adnexal mass between January 1, 2012, and March 1, 2015, and treated either with surgery or conservatively were included in this diagnostic study. Twenty-five patients were excluded for withdrawal of consent, 2777 were excluded from 19 centers that did not meet predefined data quality criteria, and 812 were excluded because they were already in follow-up at recruitment. The analysis included 4905 patients with a newly detected adnexal mass in 17 centers that met predefined data quality criteria. Data were analyzed from January 31 to March 1, 2022.EXPOSURES: Stratification into O-RADS categories (malignancy risk <1%, 1% to <10%, 10% to <50%, and ≥50%). For the IOTA 2-step strategy, the stratification is based on the individual risk of malignancy calculated with the IOTA 2-step strategy.MAIN OUTCOMES AND MEASURES: Observed prevalence of malignancy in each O-RADS risk category, as well as sensitivity and specificity. The reference standard was the status of the tumor at inclusion, determined by histology or clinical and ultrasonographic follow-up for 1 year. Multiple imputation was used for uncertain outcomes owing to inconclusive follow-up information.RESULTS: Median age of the 4905 patients was 48 years (IQR, 36-62 years). Data on race and ethnicity were not collected. A total of 3441 tumors (70%) were benign, 978 (20%) were malignant, and 486 (10%) had uncertain classification. Using the O-RADS lexicon resulted in 1.1% (24 of 2196) observed prevalence of malignancy in O-RADS 2, 4% (34 of 857) in O-RADS 3, 27% (246 of 904) in O-RADS 4, and 78% (732 of 939) in O-RADS 5; the corresponding results for the IOTA 2-step strategy were 0.9% (18 of 1984), 4% (58 of 1304), 30% (206 of 690), and 82% (756 of 927). At the 10% risk threshold (O-RADS 4-5), the O-RADS lexicon had 92% sensitivity (95% CI, 87%-96%) and 80% specificity (95% CI, 74%-85%), and the IOTA 2-step strategy had 91% sensitivity (95% CI, 84%-95%) and 85% specificity (95% CI, 80%-88%).CONCLUSIONS AND RELEVANCE: The findings of this external diagnostic validation study suggest that both the O-RADS lexicon and the IOTA 2-step strategy can be used to stratify patients into risk groups. However, the observed malignancy rate in O-RADS 2 was not clearly below 1%.
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| 7. |
- Valentin, Lil, et al.
(författare)
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The risk of malignancy in unilocular cysts: a study on 1148 adnexal masses classified as unilocular cysts at transvaginal scan with review of the literature.
- 2013
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Ingår i: Ultrasound in Obstetrics & Gynecology. - : Wiley. - 1469-0705 .- 0960-7692. ; 41:1, s. 80-89
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To estimate the rate of malignancy in adnexal lesions described as unilocular cysts at transvaginal ultrasound examination, to investigate if there are differences in clinical and ultrasound characteristics between benign and malignant unilocular cysts. Methods: 3511 patients with an adnexal mass underwent transvaginal ultrasound examination between 1999 and 2007. The sonologists used the International Ovarian Tumor Analysis terms and definitions to describe their ultrasound findings. Gold standard was the histopathological diagnosis of the mass. Results: Of the 3511 masses, 1148 (33%) were classified as unilocular cysts at scan. Of these, 11 i.e. 0.96 % (95%CI 0.48-1.71) were malignant. The malignancy rate was lower in pre- than post-menopausal women: 0.54% (5/931) (0.17-1.25) versus 2.76% (6/217) (1.02-5.92), P = 0.009. More patients with malignant unilocular cysts had a personal history of breast cancer (18% versus 2%, P = 0.02) or ovarian cancer (18% versus 0.6%, P = 0.003). Hemorrhagic cyst contents at scan was more common in malignant than benign unilocular cysts (18% versus 2%, P = 0.03). In seven of the 11 malignancies judged to be unilocular cysts at scan, papillary projections or other solid components were seen at macroscopic inspection of the surgical specimen. Conclusions: The malignancy rate in surgically removed adnexal lesions judged to be unilocular cysts at transvaginal scan is around 1%. Postmenopausal status, personal history of breast or ovarian cancer and hemorrhagic cyst contents at scan increase the risk of malignancy. To avoid misclassifying adnexal lesions as unilocular cysts at scan, it is important to scrutinize unilocular cysts for the presence of solid components. Copyright © 2012 ISUOG. Published by John Wiley & Sons, Ltd.
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| 8. |
- Van Calster, Ben, et al.
(författare)
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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.
- 2014
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Ingår i: BMJ: British Medical Journal. - : BMJ. - 1756-1833. ; 349, s. 5920-5920
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Tidskriftsartikel (refereegranskat)abstract
- To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours.
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| 9. |
- Van Calster, Ben, et al.
(författare)
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Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively : multicentre cohort study
- 2020
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Ingår i: BMJ (Clinical research ed.). - : BMJ. - 1756-1833. ; 370
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all patients with an ovarian mass managed surgically or conservatively. DESIGN: Multicentre cohort study. SETTING: 36 oncology referral centres (tertiary centres with a specific gynaecological oncology unit) or other types of centre. PARTICIPANTS: Consecutive adult patients presenting with an adnexal mass between January 2012 and March 2015 and managed by surgery or follow-up. MAIN OUTCOME MEASURES: Overall and centre specific discrimination, calibration, and clinical utility of six prediction models for ovarian malignancy (risk of malignancy index (RMI), logistic regression model 2 (LR2), simple rules, simple rules risk model (SRRisk), assessment of different neoplasias in the adnexa (ADNEX) with or without CA125). ADNEX allows the risk of malignancy to be subdivided into risks of a borderline, stage I primary, stage II-IV primary, or secondary metastatic malignancy. The outcome was based on histology if patients underwent surgery, or on results of clinical and ultrasound follow-up at 12 (±2) months. Multiple imputation was used when outcome based on follow-up was uncertain. RESULTS: The primary analysis included 17 centres that met strict quality criteria for surgical and follow-up data (5717 of all 8519 patients). 812 patients (14%) had a mass that was already in follow-up at study recruitment, therefore 4905 patients were included in the statistical analysis. The outcome was benign in 3441 (70%) patients and malignant in 978 (20%). Uncertain outcomes (486, 10%) were most often explained by limited follow-up information. The overall area under the receiver operating characteristic curve was highest for ADNEX with CA125 (0.94, 95% confidence interval 0.92 to 0.96), ADNEX without CA125 (0.94, 0.91 to 0.95) and SRRisk (0.94, 0.91 to 0.95), and lowest for RMI (0.89, 0.85 to 0.92). Calibration varied among centres for all models, however the ADNEX models and SRRisk were the best calibrated. Calibration of the estimated risks for the tumour subtypes was good for ADNEX irrespective of whether or not CA125 was included as a predictor. Overall clinical utility (net benefit) was highest for the ADNEX models and SRRisk, and lowest for RMI. For patients who received at least one follow-up scan (n=1958), overall area under the receiver operating characteristic curve ranged from 0.76 (95% confidence interval 0.66 to 0.84) for RMI to 0.89 (0.81 to 0.94) for ADNEX with CA125. CONCLUSIONS: Our study found the ADNEX models and SRRisk are the best models to distinguish between benign and malignant masses in all patients presenting with an adnexal mass, including those managed conservatively. TRIAL REGISTRATION: ClinicalTrials.gov NCT01698632.
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| 10. |
- Wynants, Laure, et al.
(författare)
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Clinical utility of risk modelsto refer patients with adnexal masses to specialized oncology care : Multicenter external validation using decision curve analysis
- 2017
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Ingår i: Clinical Cancer Research. - 1078-0432. ; 23:17, s. 5082-5090
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: To evaluate the utility of preoperative diagnostic models for ovarian cancer based on ultrasound and/or biomarkers for referring patients to specialized oncology care. The investigated models were RMI, ROMA, and 3 models from the International Ovarian Tumor Analysis (IOTA) group [LR2, ADNEX, and the Simple Rules risk score (SRRisk)]. Experimental Design: A secondary analysis of prospectively collected data from 2 cross-sectional cohort studies was performed to externally validate diagnostic models. A total of 2, 763 patients (2, 403 in dataset 1 and 360 in dataset 2) from 18 centers (11 oncology centers and 7 nononcology hospitals) in 6 countries participated. Excised tissue was histologically classified as benign or malignant. The clinical utility of the preoperative diagnostic models was assessed with net benefit (NB) at a range of risk thresholds (5%-50% risk of malignancy) to refer patients to specialized oncology care. We visualized results with decision curves and generated bootstrap confidence intervals. Results: The prevalence of malignancy was 41% in dataset 1 and 40% in dataset 2. For thresholds up to 10% to 15%, RMI and ROMA had a lower NB than referring all patients. SRRisks and ADNEX demonstrated the highest NB. At a threshold of 20%, the NBs of ADNEX, SRrisks, and RMI were 0.348, 0.350, and 0.270, respectively. Results by menopausal status and type of center (oncology vs. nononcology) were similar. Conclusions: All tested IOTA methods, especially ADNEX and SRRisks, are clinically more useful than RMI and ROMA to select patients with adnexal masses for specialized oncology care.
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