AIMC Topic: Leiomyoma

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Robotic vaginal natural orifice transluminal endoscopic myomectomy.

Fertility and sterility Jun 9, 2022
OBJECTIVE: To describe a novel, minimally invasive technique for performing myomectomy, a fertility-sparing procedure.
Humans Pregnancy Female Cesarean Section Endometriosis Leiomyoma Uterine Myomectomy Natural Orifice Endoscopic Surgery Uterine Rupture Adult Robotics Laparoscopy Robotic Surgical Procedures
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Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.

European radiology May 18, 2022
OBJECTIVES: To explore the feasibility and effectiveness of machine learning (ML) based on multiparametric magnetic resonance imaging (mp-MRI) features extracted from transfer learning combined with clinical parameters to differentiate uterine sarcom...
Sarcoma Uterine Neoplasms Leiomyoma Multiparametric Magnetic Resonance Imaging Humans Female Machine Learning Diagnosis, Differential Retrospective Studies Predictive Value of Tests Feasibility Studies
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Enhancing the Localization of Uterine Leiomyomas Through Cutaneous Softness Rendering for Robot-Assisted Surgical Palpation Applications.

IEEE transactions on haptics Sep 9, 2021
Integrating tactile feedback for lump localization in Robot-assisted Minimally Invasive Surgery (RMIS) represents an open research issue, which is still far to be solved. Main reasons for this are related e.g. to the need for a transparent connection...
Humans Female Palpation Equipment Design Feedback Robotic Surgical Procedures User-Computer Interface Leiomyoma Robotics Touch Minimally Invasive Surgical Procedures
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Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy.

PloS one Mar 31, 2021
Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore, despite the lack of an established screening technique to date, early diagnosis of endometrial cancer assumes critical importance. This paper presen...
Deep Learning Early Detection of Cancer Uterine Neoplasms Data Accuracy Humans Female Sensitivity and Specificity Endometrial Hyperplasia Polyps Endometrial Neoplasms Electronic Data Processing Leiomyoma Hysteroscopy
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Comparison of operative time between robotic and laparoscopic myomectomy for removal of numerous myomas.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 8, 2020
BACKGROUND: We hypothesized that the total operative time of robot myomectomy (RM) is shorter than that of laparoscopic myomectomy (LM) in cases where numerous myomas are removed, due to the faster suturing time of the robotic system. To verify this,...
Myoma Blood Loss, Surgical Operative Time Robotics Laparoscopy Robotic Surgical Procedures Uterine Neoplasms Leiomyoma Uterine Myomectomy Humans Female Treatment Outcome
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Rectal leiomyoma robotic enucleation - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland May 20, 2020
Leiomyoma Humans Robotics Robotic Surgical Procedures Rectal Neoplasms
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Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To develop and validate a deep learning model based on routine magnetic resonance (MR) imaging obtained before uterine fibroid embolization to predict procedure outcome.
Middle Aged Diagnosis, Computer-Assisted Deep Learning Treatment Outcome Magnetic Resonance Imaging Predictive Value of Tests Uterine Neoplasms Image Interpretation, Computer-Assisted Female Reproducibility of Results Aged Adult Humans Retrospective Studies Clinical Decision-Making Observer Variation Philadelphia Leiomyoma Uterine Artery Embolization
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A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

Scientific reports May 4, 2020
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...
Myometrium Uterine Neoplasms Magnetic Resonance Spectroscopy Leiomyoma Premenopause Humans Machine Learning Reproducibility of Results Magnetic Resonance Imaging Algorithms Diagnosis, Computer-Assisted Adult Decision Trees Female Sensitivity and Specificity Image Processing, Computer-Assisted Predictive Value of Tests Middle Aged
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Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.

Academic radiology Jan 17, 2019
RATIONALE AND OBJECTIVE: Uterine leiomyomas with high signal intensity on T2-weighted imaging (T2WI) can be difficult to distinguish from sarcomas. This study assessed the feasibility of using machine learning to differentiate uterine sarcomas from l...
Middle Aged Humans Diagnosis, Differential Machine Learning Retrospective Studies Uterus Uterine Neoplasms Algorithms Female Sarcoma Leiomyoma Aged Diffusion Magnetic Resonance Imaging Adult Multiparametric Magnetic Resonance Imaging
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A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters.

European journal of radiology Nov 13, 2018
PURPOSE: To propose a computer-assisted method for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted magnetic resonance imaging (PWI).
Adult Magnetic Resonance Imaging Humans Leiomyoma Sensitivity and Specificity Diagnosis, Differential Machine Learning Middle Aged Sarcoma Female Image Processing, Computer-Assisted Uterine Neoplasms Reproducibility of Results
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