Imperial College London

MrAhmadSayasneh

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 3313 5131a.sayasneh

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Publication Type
Year
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41 results found

Ayim F, Tapp S, Guha S, Ameye L, Al-Memar M, Sayasneh A, Bottomley C, Gould D, Stalder C, Timmerman D, Bourne Tet al., 2016, Can risk factors, clinical history and symptoms be used to predict risk of ectopic pregnancy in women attending an early pregnancy assessment unit?, Ultrasound in Obstetrics & Gynecology, Vol: 48, Pages: 656-662, ISSN: 0960-7692

OBJECTIVE: To examine whether risk factors and symptoms may be used to predict the likelihood of ectopic pregnancy (EP) in women attending early pregnancy assessment units in the UK. METHODS: This was an observational cohort study of pregnant women under 12 weeks' gestation who were recruited from three London university hospitals between August 2012 and April 2013. One hospital continued recruitment between January and June 2015. A standardized information sheet incorporating patient demographics, medical history and symptoms was completed by patients and confirmed by examining clinicians. The outcome measure was final pregnancy location. RESULTS: There were 1320 eligible patients included in the analysis, with a total of 72 EPs (rate of 6%). Pelvic pain and diarrhea > three times in the previous 24 h were independent symptoms that increased the risk of EP, with relative risks of 2.4 (95% CI, 1.4-4.0; P = 0.002) and 2.2 (95% CI, 1.08-4.5; P = 0.03), respectively. The only other independent marker of risk of EP was duration of vaginal bleeding; the risk of EP increased by 20% (95% CI, 14%-27%) for every 1-day increment in duration (P < 0.001). A logistic regression model incorporating these factors demonstrated an area under the receiver-operating characteristics curve of 0.73 (95% CI, 0.67-0.79). The prevalence of EP was low when there was no pelvic pain, no diarrhea and the duration of bleeding was ≤ 3 days, with an EP rate of 2% (6/391). In the presence of a single risk factor, the EP rate increased to 5% (29/631) when only pelvic pain was present, 8% (1/12) when only diarrhea > three times in the previous 24 h was reported and 9% (9/103) when there was only vaginal bleeding with a duration > 3 days. Women with pelvic pain and vaginal bleeding of any severity for > 3 days had a high EP rate of 16% (23/146). In the nine women who also reported diarrhea > three times in the previous 24 h, two had EP. CONCLUSIONS: Only the presence of pelvic pai

Journal article

Al-Memar M, Tapp S, Ayim F, Guha S, Ameye L, Sayasneh A, Bottomley C, Gould D, Stalder C, Timmerman D, Bourne Tet al., 2016, Abstracts of the 26th World Congress on Ultrasound in Obstetrics and Gynecology, Rome, Italy, 24-28 September 2016., Ultrasound Obstet Gynecol, Vol: 48 Suppl 1

Journal article

Sayasneh A, Ferrara L, De Cock B, Saso S, Al-Memar M, Johnson S, Kaijser J, Carvalho J, Husicka R, Smith A, Stalder C, Blanco MC, Ettore G, Van Calster B, Timmerman D, Bourne Tet al., 2016, Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study, British Journal of Cancer, Vol: 115, Pages: 542-548, ISSN: 1532-1827

BACKGROUND: The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Assessment of Different NEoplasias in the adneXa) model to predict the risk that an ovarian mass is benign, borderline, stage I, stages II-IV or metastatic. We aimed to externally validate the ADNEX model in the hands of examiners with varied training and experience. METHODS: This was a multicentre cross-sectional cohort study for diagnostic accuracy. Patients were recruited from three cancer centres in Europe. Patients who underwent transvaginal ultrasonography and had a histological diagnosis of surgically removed tissue were included. The diagnostic performance of the ADNEX model with and without the use of CA125 as a predictor was calculated. RESULTS: Data from 610 women were analysed. The overall prevalence of malignancy was 30%. The area under the receiver operator curve (AUC) for the ADNEX diagnostic performance to differentiate between benign and malignant masses was 0.937 (95% CI: 0.915-0.954) when CA125 was included, and 0.925 (95% CI: 0.902-0.943) when CA125 was excluded. The calibration plots suggest good correspondence between the total predicted risk of malignancy and the observed proportion of malignancies. The model showed good discrimination between the different subtypes. CONCLUSIONS: The performance of the ADNEX model retains its performance on external validation in the hands of ultrasound examiners with varied training and experience.British Journal of Cancer advance online publication, 2 August 2016; doi:10.1038/bjc.2016.227 www.bjcancer.com.

Journal article

Jones B, Jeevananthan P, Sayasneh A, Saso S, Chatterjee J, Boyle D, Smith JRet al., 2016, The novel application of plasma energy as a tissue preserving treatment modality for vulval and perianal intraepithelial neoplasia, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 123, Pages: 81-81, ISSN: 1470-0328

Journal article

Kaijser J, Bourne T, De Rijdt S, Van Holsbeke C, Sayasneh A, Valentin L, Van Calster B, Timmerman Det al., 2015, Key findings from the International Ovarian Tumor Analysis (IOTA) study: an approach to the optimal ultrasound based characterisation of adnexal pathology, Australian Journal of Ultrasound in Medicine, Vol: 15, Pages: 82-86, ISSN: 2205-0140

The principal aim of the IOTA project has been to develop approaches to the evaluation of adnexal pathology using ultrasound that can be transferred to all examiners. Creating models that use simple, easily reproducible ultrasound characteristics is one approach.

Journal article

Sayasneh A, Kaijser J, Preisler J, Smith AA, Raslan F, Johnson S, Husicka R, Ferrara L, Stalder C, Ghaem-Maghami S, Timmerman D, Bourne Tet al., 2015, Accuracy of ultrasonography performed by examiners with varied training and experience in predicting specific pathology of adnexal masses, ULTRASOUND IN OBSTETRICS & GYNECOLOGY, Vol: 45, Pages: 605-612, ISSN: 0960-7692

Journal article

Saso S, Sawyer R, O'Neill NM, Tzafetas M, Sayasneh A, Hamed AH, Elliott F, Thum M-Y, Ghaem-Maghami S, Lee M-J, Smith JR, Del Priore Get al., 2015, Trachelectomy during pregnancy: What has experience taught us?, JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, Vol: 41, Pages: 640-645, ISSN: 1341-8076

Journal article

Sayasneh A, Ekechi C, Ferrara L, Kaijser J, Stalder C, Sur S, Timmerman D, Bourne Tet al., 2015, The characteristic ultrasound features of specific types of ovarian pathology, INTERNATIONAL JOURNAL OF ONCOLOGY, Vol: 46, Pages: 445-458, ISSN: 1019-6439

Journal article

Khazendar S, Sayasneh A, Al-Assam H, Du H, Kaijser J, Ferrara L, Timmerman D, Jassim S, Bourne Tet al., 2015, Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator., Facts, Views and Vision in ObGyn, Vol: 7, Pages: 7-15, ISSN: 2032-0418

INTRODUCTION: Preoperative characterisation of ovarian masses into benign or malignant is of paramount importance to optimise patient management. OBJECTIVES: In this study, we developed and validated a computerised model to characterise ovarian masses as benign or malignant. MATERIALS AND METHODS: Transvaginal 2D B mode static ultrasound images of 187 ovarian masses with known histological diagnosis were included. Images were first pre-processed and enhanced, and Local Binary Pattern Histograms were then extracted from 2 × 2 blocks of each image. A Support Vector Machine (SVM) was trained using stratified cross validation with randomised sampling. The process was repeated 15 times and in each round 100 images were randomly selected. RESULTS: The SVM classified the original non-treated static images as benign or malignant masses with an average accuracy of 0.62 (95% CI: 0.59-0.65). This performance significantly improved to an average accuracy of 0.77 (95% CI: 0.75-0.79) when images were pre-processed, enhanced and treated with a Local Binary Pattern operator (mean difference 0.15: 95% 0.11-0.19, p < 0.0001, two-tailed t test). CONCLUSION: We have shown that an SVM can classify static 2D B mode ultrasound images of ovarian masses into benign and malignant categories. The accuracy improves if texture related LBP features extracted from the images are considered.

Journal article

Kaijser J, Van Belle V, Van Gorp T, Sayasneh A, Vergote I, Bourne T, Van Calster B, Timmerman Det al., 2014, Prognostic Value of Serum HE4 Levels and Risk of Ovarian Malignancy Algorithm Scores at the Time of Ovarian Cancer Diagnosis, INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, Vol: 24, Pages: 1173-1180, ISSN: 1048-891X

Journal article

Guha S, Ayim F, Ludlow J, Sayasneh A, Condous G, Kirk E, Stalder C, Timmerman D, Bourne T, Van Calster Bet al., 2014, Triaging pregnancies of unknown location: the performance of protocols based on single serum progesterone or repeated serum hCG levels, HUMAN REPRODUCTION, Vol: 29, Pages: 938-945, ISSN: 0268-1161

Journal article

Kaijser J, Van Gorp T, Smet M-E, Van Holsbeke C, Sayasneh A, Epstein E, Bourne T, Vergote I, Van Calster B, Timmerman Det al., 2014, Are serum HE4 or ROMA scores useful to experienced examiners for improving characterization of adnexal masses after transvaginal ultrasonography?, ULTRASOUND IN OBSTETRICS & GYNECOLOGY, Vol: 43, Pages: 89-97, ISSN: 0960-7692

Journal article

Kaijser J, Sayasneh A, Van Hoorde K, Ghaem-Maghami S, Bourne T, Timmerman D, Van Calster Bet al., 2013, Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis, HUMAN REPRODUCTION UPDATE, Vol: 20, Pages: 449-462, ISSN: 1355-4786

Journal article

Guha S, Van Belle V, Bottomley C, Preisler J, Vathanan V, Sayasneh A, Stalder C, Timmerman D, Bourne Tet al., 2013, External validation of models and simple scoring systems to predict miscarriage in intrauterine pregnancies of uncertain viability, HUMAN REPRODUCTION, Vol: 28, Pages: 2905-2911, ISSN: 0268-1161

Journal article

Naji O, Wynants L, Smith A, Abdallah Y, Stalder C, Sayasneh A, McIndoe A, Ghaem-Maghami S, Van Huffel S, Van Calster B, Timmerman D, Bourne Tet al., 2013, Predicting successful vaginal birth after caesarean section using a model based on caesarean scar features examined using transvaginal sonography, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: E10-E10, ISSN: 1470-0328

Journal article

Kaijser J, Van Gorp T, Sayasneh A, Vergote I, Bourne T, Van Calster B, Timmerman Det al., 2013, Differentiating stage I epithelial ovarian cancer from benign disease in women with adnexal tumors using biomarkers or the ROMA algorithm, GYNECOLOGIC ONCOLOGY, Vol: 130, Pages: 398-399, ISSN: 0090-8258

Journal article

Sayasneh A, Kaijser J, Preisler J, Johnson S, Stalder C, Husicka R, Guha S, Naji O, Abdallah Y, Raslan F, Drought A, Smith AA, Fotopoulou C, Ghaem-Maghami S, Van Calster B, Timmerman D, Bourne Tet al., 2013, A multicenter prospective external validation of the diagnostic performance of IOTA simple descriptors and rules to characterize ovarian masses, GYNECOLOGIC ONCOLOGY, Vol: 130, Pages: 140-146, ISSN: 0090-8258

Journal article

Naji O, Wynants L, Smith A, Abdallah Y, Stalder C, Sayasneh A, McIndoe A, Ghaem-Maghami S, Van Huffel S, Van Calster B, Timmerman D, Bourne Tet al., 2013, Re: Predicting successful vaginal birth after Cesarean section using a model based on Cesarean scar features examined using transvaginal sonography Reply, ULTRASOUND IN OBSTETRICS & GYNECOLOGY, Vol: 42, Pages: 123-+, ISSN: 0960-7692

Journal article

Sayasneh A, Wynants L, Preisler J, Kaijser J, Johnson S, Stalder C, Husicka R, Abdallah Y, Raslan F, Drought A, Smith AA, Ghaem-Maghami S, Epstein E, Van Calster B, Timmerman D, Bourne Tet al., 2013, Multicentre external validation of IOTA prediction models and RMI by operators with varied training, BRITISH JOURNAL OF CANCER, Vol: 108, Pages: 2448-2454, ISSN: 0007-0920

Journal article

Kaijser J, Van Gorp T, Van Holsbeke C, Sayasneh A, Vergote I, Bourne T, Van Calster B, Timmerman Det al., 2013, Prognostic value of serum HE4 and ROMA scores at time of initial diagnosis of ovarian cancer, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 264-265, ISSN: 1470-0328

Journal article

Farren J, Kirk E, Mitchell H, Sayasneh A, Condous G, Stalder C, Bourne Tet al., 2013, The characteristics of 671 cases of tubal ectopic pregnancy, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 539-539, ISSN: 1470-0328

Journal article

Guha S, Van Belle V, Bottomley C, Preisler J, Vathanan V, Sayasneh A, Stalder C, Timmerman D, Bourne Tet al., 2013, External validation of models and simple scoring systems to predict miscarriage in intrauterine pregnancies of uncertain viability, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 541-541, ISSN: 1470-0328

Journal article

Kaijser J, Van Gorp T, Van Holsbeke C, Sayasneh A, Vergote I, Bourne T, Van Calster B, Timmerman Det al., 2013, IOTA simple descriptors (SD) or simple rules (SR) as a triage test in patients with ovarian tumours: subsequent value of CA125, HE4 or ROMA in clinical reality?, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 371-371, ISSN: 1470-0328

Journal article

Guha S, Bourne T, Ayim F, Sayasneh A, Stalder C, Bottomley C, Timmerman D, Van Calster Bet al., 2013, External validation of progesterone-based single visit protocol for management of pregnancy of unknown location compared to the βHCG based M4 prediction model, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 516-516, ISSN: 1470-0328

Journal article

Kaijser J, Van Gorp T, Van Holsbeke C, Sayasneh A, Vergote I, Bourne T, Van Calster B, Timmerman Det al., 2013, Diagnostic test performance of CA125, HE4, ROMA and IOTA's LR2 in adnexal tumours of different size, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 360-361, ISSN: 1470-0328

Journal article

Sayasneh A, Kaijser J, Preisler J, Stalder C, Johnson S, Smith A, Drought A, Husicka R, Guha S, Raslan F, Naji O, Abdallah Y, Ghaem-Maghami S, Van Calster B, Timmerman D, Bourne Tet al., 2013, Diagnostic performance of IOTA simple descriptors and rules to characterise adnexal masses: a multicentre prospective external validation, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 373-373, ISSN: 1470-0328

Journal article

Sayasneh A, Preisler J, Stlader C, Husicka R, Naji O, Kaijser J, Van Calster B, Ghaem-Maghami S, Timmerman D, Bourne Tet al., 2013, A randomised controlled trial to compare the clinical impact of RMI versus LR2 to characterise adnexal masses: interim analysis of phase 4 IOTA study, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 357-358, ISSN: 1470-0328

Journal article

Naji O, Wynants L, Smith A, Abdallah Y, Stalder C, Sayasneh A, McIndoe A, Ghaem-Maghami S, Van Huffel S, Van Calster B, Timmerman D, Bourne Tet al., 2013, Predicting successful vaginal birth after Cesarean section using a model based on Cesarean scar features examined by transvaginal sonography, ULTRASOUND IN OBSTETRICS & GYNECOLOGY, Vol: 41, Pages: 672-678, ISSN: 0960-7692

Journal article

Sayasneh A, Prieisler J, Wynants L, Kaijser J, Johnson S, Stalder C, Husicka R, Raslan F, Ghaem-Maghami S, Van Calster B, Timmerman D, Bourne Tet al., 2013, Diagnostic performance of IOTA Logistic Regression (LR2) model compared to the Risk of Malignancy Index to characterize adnexal masses: a multicentre prospective study, BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, Vol: 120, Pages: 372-373, ISSN: 1470-0328

Journal article

Naji O, Daemen A, Smith A, Abdallah Y, Saso S, Stalder C, Sayasneh A, McIndoe A, Ghaem-Maghami S, Timmerman D, Bourne Tet al., 2013, Changes in Cesarean section scar dimensions during pregnancy: a prospective longitudinal study, ULTRASOUND IN OBSTETRICS & GYNECOLOGY, Vol: 41, Pages: 556-562, ISSN: 0960-7692

Journal article

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