Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction

Singhal, Nitin; Kudavelly, Srinivas Rao; Ramaraju, G. A.

doi:10.1109/embc44109.2020.9175358

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…However, 3D-TVS is dependent on the quality of the 2D image obtained and may perform better in real time. AI methods involve the use of complex algorithms which facilitate machine learning, and AI has been proposed in the field of gynecological ultrasound for evaluation of the uterus 64 , ovarian cysts 65 , DE 66 and POD obliteration 67 . While the diagnostic accuracy of 3D-TVS and AI in endometriosis has been studied 66,68,69 , these methods are currently limited by a lack of external validation and comparative superiority to 2D-TVS.…”

Section: Ultrasoundmentioning

confidence: 99%

Strengths and limitations of diagnostic tools for endometriosis and relevance in diagnostic test accuracy research

Pascoal

Wessels

Aas-Eng

et al. 2022

Ultrasound in Obstet & Gyne

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Endometriosis is a chronic systemic disease that can cause pain, infertility and reduced quality of life. Diagnosing endometriosis remains challenging, which yields diagnostic delays for patients. Research on diagnostic test accuracy in endometriosis can be difficult due to verification bias, as not all patients with endometriosis undergo definitive diagnostic testing. The purpose of this State-of-the-Art Review is to provide a comprehensive update on the strengths and limitations of the diagnostic modalities used in endometriosis and discuss the relevance of diagnostic test accuracy research pertaining to each. We performed a comprehensive literature review of the following methods: clinical assessment including history and physical examination, biomarkers, diagnostic imaging, surgical diagnosis and histopathology. Our review suggests that, although non-invasive diagnostic methods, such as clinical assessment, ultrasound and magnetic resonance imaging, do not yet qualify formally as replacement tests for surgery in diagnosing all subtypes of endometriosis, they are likely to be appropriate for advanced stages of endometriosis. We also demonstrate in our review that all methods have strengths and limitations, leading to our conclusion that there should not be a single gold-standard diagnostic method for endometriosis, but rather, multiple accepted diagnostic methods appropriate for different circumstances.

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Section: Ultrasoundmentioning

confidence: 99%

Strengths and limitations of diagnostic tools for endometriosis and relevance in diagnostic test accuracy research

Pascoal

Wessels

Aas-Eng

et al. 2022

Ultrasound in Obstet & Gyne

View full text Add to dashboard Cite

show abstract

“…In places like the USA, maternal mortality is increasing, despite the contrary trend worldwide. Pregnancy and maternal healthcare generate many different data types (e.g., ultrasound imaging [ 20 ], diagnostic screening, fetal monitoring [ 21 ], genetics) that can be integrated by repro-AI to address maternal health. There is a significant gap in the research on pre-conception, pregnant, and breastfeeding persons and pharmacological safety and efficacy drugs due to their systemic and deliberate exclusion from randomized clinical trials, yet up to 80% of pregnant or lactating women will need to take a pharmacological substance at some point [ 22 ].…”

Section: Introduction (Trolice)mentioning

confidence: 99%