AIMC Topic: Cicatrix

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A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.

Computers in biology and medicine
Accurate segmentation of the left ventricle (LV) is crucial for evaluating myocardial perfusion SPECT (MPS) and assessing LV functions. In this study, a novel method combining deep learning with shape priors was developed and validated to extract the...

Robot-assisted Laparoscopic Prostatectomy After SpaceOAR Placement.

Urology
BACKGROUND: Patients with prostate cancer are offered a wide range of treatments from radiation therapy to chemotherapy to surgery. When giving radiation therapy, SpaceOAR hydrogel has been part of the standard treatment for the last decade to reduce...

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Myocardial infarction scar (MIS) assessment by cardiac magnetic resonance provides prognostic information and guides patients' clinical management. However, MIS segmentation is time-consuming and not performed routinely. Th...

Near-infrared ray catheter and indocyanine green via nephrostomy in delayed robotic reconstruction of injured ureter: A case report.

Asian journal of endoscopic surgery
Delayed surgical reconstruction of iatrogenic ureteral injuries is often a challenging procedure because spreading scar tissue impedes accurate identification and dissection of the injured ureter. We report a novel real-time navigation system using a...

Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.

Journal of robotic surgery
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conducted. All databases were assessed up to May 23, 2022. Studies reporting data on robot-assisted repair...

Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.

Computers in biology and medicine
BACKGROUND: Myocardial pathology segmentation plays an utmost role in the diagnosis and treatment of myocardial infarction (MI). However, manual segmentation is time-consuming and labor-intensive, and requires a lot of professional knowledge and clin...

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning-Based Virtual Native Enhancement.

Circulation
BACKGROUND: Myocardial scars are assessed noninvasively using cardiovascular magnetic resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast-free approach would provide many advantages, including a faster and cheaper scan...

Robot-assisted laparoscopy repair of uterine isthmocele: A two-center observational study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: To analyze outcomes and postoperative complications in patients undergoing robot-assisted isthmocele repair.

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic cardiomyopathy (HCM). However, nearly 50% of HCM patients have no scar but u...

Robot-Assisted Laparoscopic Ureterocalicostomy in the Setting of Ureteropelvic Junction Obstruction: A Multi-Institutional Cohort.

The Journal of urology
PURPOSE: Recurrent ureteropelvic junction obstruction (UPJO) after failed pyeloplasty is a complex surgical dilemma. The robot-assisted laparoscopic ureterocalicostomy (RALUC) is a potential surgical approach, but widespread adoption is limited due t...