Placenta Accreta Spectrum and Hysterectomy Prediction Using MRI Radiomic Features

Article Obstetrics & Gynecology

A comparison of recent guidelines in the diagnosis and management of placenta accreta spectrum disorders

Eric Jauniaux et al.

Summary: The increasing prevalence of Accreta placenta and its invasive forms has led to updates in guidelines by organizations like the Royal College of Obstetricians and Gynaecologists and the American College of Obstetricians and Gynecologists, emphasizing the need for careful evaluation of high-risk women and the use of multi-modal ultrasound imaging for diagnosis.

BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY (2021)

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Article Obstetrics & Gynecology

Trends, characteristics, and outcomes of placenta accreta spectrum: a national study in the United States

Shinya Matsuzaki et al.

Summary: This study reveals an increasing trend of placenta accreta spectrum cases during cesarean delivery, with higher surgical morbidity and mortality risks for women with this condition compared to those without. Different subtypes within the placenta accreta spectrum present varying characteristics and outcomes, with women having placenta increta and percreta facing considerably higher risks of surgical morbidity and mortality.

AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

Deep learning-based segmentation of the placenta and uterus on MR images

Maysam Shahedi et al.

Summary: The study aimed to develop a minimal user interaction segmentation method for the placenta and uterine cavity using deep learning technology. The results showed that this method demonstrated good segmentation accuracy on both normal and abnormal cases datasets and could accurately estimate the volume of the organs.

JOURNAL OF MEDICAL IMAGING (2021)

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Article Multidisciplinary Sciences

Circulating trophoblast cell clusters for early detection of placenta accreta spectrum disorders

Yalda Afshar et al.

Summary: A newly developed microchip technology enables efficient enrichment of circulating trophoblasts from maternal blood for early detection of placenta accreta spectrum (PAS). The researchers identified a high prevalence of circulating trophoblast clusters in PAS patients and constructed a diagnostic model with excellent performance in distinguishing PAS. The combined trophoblast assay shows potential to improve current diagnostic methods for the early detection of PAS.

NATURE COMMUNICATIONS (2021)

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Article Mathematical & Computational Biology

Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI

Qian Shao et al.

Summary: The study successfully predicted placenta invasion using a Nomogram combining deep learning and radiomic features, achieving higher accuracy than traditional machine learning methods.

MATHEMATICAL BIOSCIENCES AND ENGINEERING (2021)

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Article Multidisciplinary Sciences

A novel feature ranking method for prediction of cancer stages using proteomics data

Ehsan Saghapour et al.

PLOS ONE (2017)

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Article Obstetrics & Gynecology

Myometrial thickness during human labor and immediately post partum

CS Buhimschi et al.

AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY (2003)

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Placenta Accreta Spectrum and Hysterectomy Prediction Using MRI Radiomic Features

相关参考文献

A comparison of recent guidelines in the diagnosis and management of placenta accreta spectrum disorders

Trends, characteristics, and outcomes of placenta accreta spectrum: a national study in the United States

Deep learning-based segmentation of the placenta and uterus on MR images

Circulating trophoblast cell clusters for early detection of placenta accreta spectrum disorders

Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI

A novel feature ranking method for prediction of cancer stages using proteomics data

Myometrial thickness during human labor and immediately post partum

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