Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study

Quyen, N.; Lewis, Matthew; Madhuranthakam, Ananth J.; Xi, Yin; Bailey, Alan; Lenkinski, Robert E.; Twickler, Diane M.

doi:10.1371/journal.pone.0211060

Cited by 30 publications

(24 citation statements)

References 38 publications

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“…Two studies based on TA have recently been published. One of these studies provided the first characterization of the normal placenta as a function of gestational age, based on the textural properties between gestational ages of 23 to 36 weeks [4]. This study confirmed the increase in placental heterogeneity with gestational age.…”

Section: What Is New?mentioning

confidence: 56%

How and why should the radiologist look at the placenta?

Siauve

2019

Eur Radiol

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This editorial comment refers to the article "Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning" by Sun et al. in European Radiology. Key Points • Understanding how the placenta works is one of the major challenges facing radiologists. • New perspectives are opening up for MRI studies of the placenta. • The authors propose a new approach to placental MRI based on texture analysis and machine learning. Keywords Magnetic resonance imaging. Placenta. Artificial intelligence Abbreviations AI Artificial intelligence FGR Fetal growth retardation FIESTA Fast imaging employing steady-state acquisition FISP Fast imaging with steady-state precession HASTE Half-acquisition turbo spin-echo ML Machine learning TA Texture analysis

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Section: What Is New?mentioning

confidence: 56%

How and why should the radiologist look at the placenta?

Siauve

2019

Eur Radiol

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“…In this article, we presented the imaging extraction used in this work based on recommended standardized nomenclature to promote reproducibility and transparency . Another advantage of this study was the creation of an internal control of normal placental tissue remote from the scar in each a woman as an acknowledgement of the known gestational age‐specific increased heterogeneity of the aging placenta …”

Section: Discussionmentioning

confidence: 99%

“…The spatial relationship between pixels is defined as: distance = 1, orientations = 0°, 45°, 90°, 135°. We used these 13 texture features because they were found to be relevant for correlating placental heterogeneity by gestational age using MRI …”

Section: Methodsmentioning

confidence: 99%

MRI of the Placenta Accreta Spectrum (PAS) Disorder: Radiomics Analysis Correlates With Surgical and Pathological Outcome

Quyen

Lewis

et al. 2019

Magnetic Resonance Imaging

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Background Placenta accreta spectrum (PAS) in women with previous cesarean delivery has become increasingly prevalent. Depending on the severity, patient management may involve cesarean hysterectomy. Purpose To investigate textural analyses as the radiomics in MRI of the placenta in predicting the PAS requiring cesarean hysterectomy in a high‐risk population. Study Type Retrospective. Population Sixty‐two women with prior cesarean delivery referred for MRI because of sonographic suspicion for PAS. Field Strength/Sequence 1.5T with T1W, T2W, and diffusion‐weighted imaging (DWI). Assessment Two reviewers independently evaluated MR images based on five established PAS variables. Placental regions of interest (ROIs) were generated on T2W, DWI, and an apparent diffusion coefficient (ADC) map, based on definitions of areas of placenta in proximity to and remote from previous surgical incision sites. Statistical Tests Reader agreement was assessed by simple kappa and prevalence adjusted bias adjusted kappa (PABAK). T‐tests and chi‐square analyses between the primary outcome (hysterectomy vs. no hysterectomy) were performed. Thirteen Haralick texture features calculated from gray‐level co‐occurrence matrixes were extracted from manually drawn placental ROIs within each of three MR acquisitions. Univariate and multivariable logistic regression were used to assess the association with cesarean hysterectomy. Results Of 62 pregnancies at risk for PAS, 40 required cesarean hysterectomy (65%), with excellent correlation between need for hysterectomy and pathology confirmation of PAS in the hysterectomy specimen [κ = 0.82 (0.62, 1)]. Reader agreement was fair to moderate. Of the 13 Haralick variables within each of three acquisition groups, significant differences (P < 0.05) were seen in 22 of 39 parameters comparing placental ROIs in proximity to incision scar(s) to those ROIs remote from scar. A stepwise selection algorithm indicated that the combination of T2W Fcm.sum.var, ADC Fcm.diff.entr, and DWI Fcm.energy gave the highest leave‐one‐out‐AUC of 0.80 (0.68, 0.91). Data Conclusion Assessment of PAS severity is subjective and dependent on radiologist expertise. We identified textural features on placental MR images in the region of the prior uterine scar that differentiated pregnancies requiring cesarean hysterectomy based on clinical suspicion of PAS from those that did not, suggesting predictive capabilities of these objective radiomics features. Level of Evidence: 3 Technical Efficacy Stage: 1 J. Magn. Reson. Imaging 2020;51:936–946.

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“…Specifically, grey-level cooccurrence matrix texture features, known as Haralick texture features, have been used to show an increase in placental heterogeneity throughout the gestational age. 45,46 Image analysis is increasingly combined with machine learning techniques that provide prediction models for examining correlation between clinical characteristics and outcomes. A multitude of machine learning and clustering methods, including Naïve Bayes, K nearest neighbors, k-means, and multilayer perceptron, have been successfully used alongside texture analysis techniques for MRI and US images.…”

Section: Future Of Imaging Computer Visionmentioning

confidence: 99%

New Frontiers in Placenta Tissue Imaging

et al. 2020

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The placenta is a highly vascularised organ with unique structural and metabolic complexities. As the primary conduit of fetal support, the placenta mediates transport of oxygen, nutrients, and waste between maternal and fetal blood. Thus, normal placenta anatomy and physiology is absolutely required for maintenance of maternal and fetal health during pregnancy. Moreover, impaired placental health can negatively impact offspring growth trajectories as well as increase the risk of maternal cardiovascular disease later in life. Despite these crucial roles for the placenta, placental disorders, such as preeclampsia, intrauterine growth restriction, and preterm birth, remain incompletely understood. Effective noninvasive imaging and image analysis are needed to advance the obstetrician’s clinical reasoning toolkit and improve the utility of the placenta in interpreting maternal and fetal health trajectories. Current paradigms in placental imaging and image analysis aim to improve the traditional imaging techniques that may be time-consuming, costly, or invasive. In concert with conventional clinical approaches such as ultrasound, advanced imaging modalities can provide insightful information on the structure of placental tissues. Herein, the authors discuss such imaging modalities; their specific applications in structural, vascular, and metabolic analysis of placental health; and emerging frontiers in image analysis research in both preclinical and clinical contexts.

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Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study

Cited by 30 publications

References 38 publications

How and why should the radiologist look at the placenta?

How and why should the radiologist look at the placenta?

MRI of the Placenta Accreta Spectrum (PAS) Disorder: Radiomics Analysis Correlates With Surgical and Pathological Outcome

New Frontiers in Placenta Tissue Imaging

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