References
- Hutcheon JA, Lisonkova S, Joseph KS. Epidemiology of pre-eclampsia and the other hypertensive disorders of pregnancy. Best Pract Res Clin Obstet Gynaecol. 2011;25(4):391–403.
- Kumar M, Sharma K, Singh S, et al. Use of first-trimester placenta growth factor concentration to predict hypertensive disorders of pregnancy in a low-risk Asian population. Int J Gynecol Obstet. 2017;139(3):301–306.
- Sutton ALM, Harper LM, Tita ATN. Hypertensive disorders in pregnancy. Obstet Gynecol Clin North Am. 2018;45(2):333–347.
- Oelze ML. Emerging quantitative ultrasound applications: from diagnosing disease to monitoring of therapy. J Acoust Soc Am. 2016;140(4):3136–3136.
- Christodoulou CI, Pattichis CS, Pantziaris M, et al. Texture-based classification of atherosclerotic carotid plaques. IEEE Trans Med Imaging. 2003;22(7):902–912.
- Cobo T, Bonet-Carne E, Mart Í Nez-Terro Ń M, et al. Feasibility and reproducibility of fetal lung texture analysis by Automatic Quantitative Ultrasound Analysis and correlation with gestational age. Fetal Diagn Ther. 2012;31(4):230–236.
- Hoddick WK, Mahony BS, Callen PW, et al. Placental thickness. J Ultrasound Med. 1985;4(9):479–482. Sep
- McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22(3):276–282.
- Kumar M, Gupta U, Bhattacharjee J, et al. Early prediction of hypertension during pregnancy in a low-resource setting. Int J Gynaecol Obstet. 2016;132(2):159–164.
- Payne BA, Hutcheon JA, Ansermino JM, et al. A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) multi-country prospective cohort study. PLoS Med. 2014;11(1):e1001589.
- Zhu X, Wang J, Jiang R, et al. Pulsatility index in combination with biomarkers or mean arterial pressure for the prediction of pre-eclampsia: systematic literature review and meta-analysis. Ann Med. 2015;47(5):414–422.
- Rolnik DL, Wright D, Poon LCY, et al. ASPRE trial: performance of screening for preterm pre-eclampsia [published correction appears in Ultrasound Obstet Gynecol. 2017;50(6):807]. Ultrasound Obstet Gynecol. 2017;50(4):492–495.
- Kumar M, Sharma K, Singh R, et al. Role of maternal factors, PAPP-A, and Doppler in screening for early- and late-onset pregnancy hypertension in Asian population. Hypertens Pregnancy. 2016;35(3):382–393.
- Oosterveld BJ, Thijssen JM, Verhoef WA. Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatterer density. Ultrason Imaging. 1985;7(2):142–160.
- Tunis AS, Czarnota GJ, Giles A, Sherar MD, et al. Monitoring structural changes in cells with high-frequency ultrasound signal statistics. Ultrasound Med Biol. 2005;31(8):1041–1049.
- Chen DR, Chang RF, Kuo WJ, et al. Diagnosis of breast tumors with sonographic texture analysis using wavelet trans- form and neural networks. Ultrasound Med Biol. 2002;28(10):1301–1310.
- Sujana H, Swarnamani S, Suresh S. Application of artificial neural networks for the classification of liver lesions by image texture parameters. Ultrasound Med Biol. 1996;22(9):1177–1111.
- Vince DG, Dixon KJ, Cothren RM, et al. Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound images. Comput Med Imaging Graph. 2000;24(4):221–229.
- Tenorio V, Bonet-Carne E, Figueras F, et al. Correlation of quantitative texture analysis of cranial ultrasound with later neurobehavior in preterm infants. Ultrasound Med Biol. 2014;40(9):2285–2294.