AIMC Topic: Margins of Excision

Clear Filters Showing 11 to 20 of 109 articles

Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Humans Machine Learning Decision Support Techniques Retrospective Studies Middle Aged Ablation Techniques Risk Assessment Time Factors Lung Neoplasms Neoplasm Recurrence, Local Treatment Outcome Risk Factors Predictive Value of Tests Aged Microwaves Neoplasm Staging Radiomics Margins of Excision Radiographic Image Interpretation, Computer-Assisted Male Adenocarcinoma of Lung Tomography, X-Ray Computed Clinical Decision-Making Female
View on PubMed DOI

Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna.

Diagnostic pathology Aug 3, 2024
BACKGROUND: Surgical excision with clear histopathological margins is the preferred treatment to prevent progression of lentigo maligna (LM) to invasive melanoma. However, the assessment of resection margins on sun-damaged skin is challenging. We dev...
Neoplasm Recurrence, Local Aged Margins of Excision Humans Male Melanocytes Female Middle Aged Hutchinson's Melanotic Freckle Skin Neoplasms Deep Learning
View on PubMed DOI

Artificial Intelligence for Mohs and Dermatologic Surgery: A Systematic Review and Meta-Analysis.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Jul 11, 2024
BACKGROUND: Over the past decade, several studies have shown that potential of artificial intelligence (AI) in dermatology. However, there has yet to be a systematic review evaluating the usage of AI specifically within the field of Mohs micrographic...
Skin Neoplasms Margins of Excision Mohs Surgery Humans Artificial Intelligence
View on PubMed DOI

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...
Middle Aged Magnetic Resonance Imaging Rectum Rectal Neoplasms Female Aged Male Margins of Excision Decision Making, Computer-Assisted Transanal Endoscopic Surgery Proctectomy Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Clinical Decision-Making
View on PubMed DOI

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...
Conization Squamous Intraepithelial Lesions of the Cervix Uterine Cervical Dysplasia Cryosurgery Humans Middle Aged Papillomavirus Infections Aged Logistic Models Margins of Excision Young Adult Adult Uterine Cervical Neoplasms Machine Learning Retrospective Studies Female Risk Factors Squamous Intraepithelial Lesions
View on PubMed DOI

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...
Humans Machine Learning Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Aged ROC Curve Area Under Curve Hyperspectral Imaging Margins of Excision
View on PubMed DOI

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...
Female Breast Neoplasms Deep Learning Ultrasonography, Mammary Humans Surgery, Computer-Assisted Margins of Excision Mastectomy, Segmental
View on PubMed DOI

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...
Male Middle Aged Spectrum Analysis Margins of Excision Aged Aged, 80 and over Colorectal Neoplasms Neural Networks, Computer Machine Learning Prospective Studies Female Humans
View on PubMed DOI

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...
Prostatectomy Margins of Excision Humans Male Retrospective Studies Risk Factors Robotics Prostate-Specific Antigen Robotic Surgical Procedures
View on PubMed DOI

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...
Margins of Excision Robotics Robotic Surgical Procedures Kidney Neoplasms Humans Nephrectomy Retrospective Studies Treatment Outcome
View on PubMed DOI
Popular Topics
Recent Journals