AIMC Topic: Margins of Excision
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Artificial intelligence-assisted decision making: Prediction of optimal level of distal mesorectal margin during transanal total mesorectal excision (taTME) using deep neural network modeling.
Journal of visceral surgery
Jul 3, 2024
BACKGROUND: With steep posterior anorectal angulation, transanal total mesorectal excision (taTME) may have a risk of dissection in the wrong plane or starting higher up, resulting in leaving distal mesorectum behind. Although the distal mesorectal m...
Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study.
BMC women's health
Jun 7, 2024
OBJECTIVES: This study aims to analyze factors associated with positive surgical margins following cold knife conization (CKC) in patients with cervical high-grade squamous intraepithelial lesion (HSIL) and to develop a machine-learning-based risk pr...
Retrospective Studies
Female
Risk Factors
Aged
Humans
Machine Learning
Uterine Cervical Dysplasia
Cryosurgery
Squamous Intraepithelial Lesions
Young Adult
Middle Aged
Adult
Papillomavirus Infections
Uterine Cervical Neoplasms
Logistic Models
Conization
Margins of Excision
Squamous Intraepithelial Lesions of the Cervix
Hyperspectral imaging with machine learning for in vivo skin carcinoma margin assessment: a preliminary study.
Physical and engineering sciences in medicine
May 21, 2024
Surgical excision is the most effective treatment of skin carcinomas (basal cell carcinoma or squamous cell carcinoma). Preoperative assessment of tumoral margins plays a decisive role for a successful result. The aim of this work was to evaluate the...
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery.
International journal of computer assisted radiology and surgery
Apr 20, 2024
PURPOSE: Preventing positive margins is essential for ensuring favorable patient outcomes following breast-conserving surgery (BCS). Deep learning has the potential to enable this by automatically contouring the tumor and guiding resection in real ti...
Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.
International journal of surgery (London, England)
Apr 1, 2024
BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and...
Development of risk-score model in patients with negative surgical margin after robot-assisted radical prostatectomy.
Scientific reports
Mar 31, 2024
A total of 739 patients underwent RARP as initial treatment for PCa from November 2011 to October 2018. Data on BCR status, clinical and pathological parameters were collected from the clinical records. After excluding cases with neoadjuvant and/or a...
Impacts of Complete Endophytic Renal Tumors on Surgical, Functional, and Oncological Outcomes of Robot-Assisted Partial Nephrectomy.
Journal of endourology
Feb 26, 2024
Complete endophytic renal tumors (CERTs) are the most challenging for robot-assisted partial nephrectomy (RAPN). This study aimed to determine the impact of CERT on outcomes of RAPN. All RAPN cases for localized renal tumor undertaken at Yokohama C...
Single-port vs multi-port robot-assisted partial nephrectomy: A single center propensity score-matched analysis.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Feb 8, 2024
INTRODUCTION AND OBJECTIVES: The aim of the study is to compare key outcomes of Single-Port (SP) and Multi-Port (MP) robot-assisted partial nephrectomy (RAPN).
Robot-assisted radical resection of colorectal cancer using the KangDuo surgical robot versus the da Vinci Xi robotic system: short-term outcomes of a multicentre randomised controlled noninferiority trial.
Surgical endoscopy
Feb 2, 2024
BACKGROUND: The KangDuo surgical robot (KD-SR-01) was recently developed in China. This study aims to evaluate the short-term outcomes of KD-SR-01 for colorectal cancer surgery.
Implementing a deep learning model for automatic tongue tumour segmentation in ex-vivo 3-dimensional ultrasound volumes.
The British journal of oral & maxillofacial surgery
Jan 3, 2024
Three-dimensional (3D) ultrasound can assess the margins of resected tongue carcinoma during surgery. Manual segmentation (MS) is time-consuming, labour-intensive, and subject to operator variability. This study aims to investigate use of a 3D deep l...
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