AIMC Topic: Adenomyosis

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The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome.

mSystems
UNLABELLED: Endometriosis (EM) and adenomyosis (AM) are interrelated gynecological disorders characterized by the aberrant presence of endometrial tissue and are frequently linked with chronic pelvic pain and infertility, yet their pathogenetic mecha...

FreqYOLO: A uterine disease detection network based on local and global frequency feature learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Leiomyomas (LM) and adenomyosis (AM) are common gynecological diseases with high incidence rates and an increasing trend of affecting younger women. Accurate detection and differentiation of LM and AM in ultrasound images are crucial for selecting ap...

Automatic diagnosis for adenomyosis in ultrasound images by deep neural networks.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVE: To present a new noninvasive technique for automatic diagnosis of adenomyosis, using a novel end-to-end unified network framework based on transformer networks.

Multi-machine Learning Model Based on Habitat Subregions for Outcome Prediction in Adenomyosis Treated by Uterine Artery Embolization.

Academic radiology
RATIONALE AND OBJECTIVES: To establish and validate a predictive multi-machine learning model for the long-term efficacy of uterine artery embolization (UAE) in the treatment of adenomyosis based on habitat subregions.

Indocyanine Green-Assisted Retrograde Ureterolysis in Robotic Transvaginal NOTES for the Management of Stage IV Endometriosis with Obliterated Cul-de-sac.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To explore the use of indocyanine green (ICG) in highlighting ureteral anatomical landmarks for the successful and safe execution of robotic-assisted transvaginal NOTES hysterectomy with resection of deeply infiltrated endometriosis.

Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis.

International journal of environmental research and public health
BACKGROUND: This study aims to evaluate the diagnostic performance of Deep Learning (DL) machine for the detection of adenomyosis on uterine ultrasonographic images and compare it to intermediate ultrasound skilled trainees.

Analysis of the nonperfused volume ratio of adenomyosis from MRI images based on fewshot learning.

Physics in medicine and biology
The nonperfused volume (NPV) ratio is the key to the success of high intensity focused ultrasound (HIFU) ablation treatment of adenomyosis. However, there are no qualitative interpretation standards for predicting the NPV ratio of adenomyosis using m...

Anti-Inflammatory Activity of Sanjie Zhentong Capsule Assessed By Network Pharmacology Analysis of Adenomyosis Treatment.

Drug design, development and therapy
BACKGROUND: Sanjie Zhentong capsule (SZC) offers excellent effect in treating adenomyosis (AM), which is a common and difficult gynecological disease in the clinic. However, the systematic analysis of its mechanism has not been carried out yet and fu...

Long-Term Efficacy of Laparoscopic or Robotic Adenomyomectomy with or without Medical Treatment for Severely Symptomatic Adenomyosis.

Gynecologic and obstetric investigation
BACKGROUND/AIMS: To determine the long-term efficacy of laparoscopic or robotic adenomyomectomy with or without gonadotropin-releasing hormone (GnRH) for the treatment of severely symptomatic adenomyosis.