AIMC Topic: Margins of Excision

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FACT: foundation model for assessing cancer tissue margins with mass spectrometry.

International journal of computer assisted radiology and surgery Apr 4, 2025
PURPOSE: Accurately classifying tissue margins during cancer surgeries is crucial for ensuring complete tumor removal. Rapid Evaporative Ionization Mass Spectrometry (REIMS), a tool for real-time intraoperative margin assessment, generates spectra th...
Machine Learning Neoplasms Mass Spectrometry Margins of Excision Humans
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Multiparametric MRI and transfer learning for predicting positive margins in breast-conserving surgery: a multi-center study.

International journal of surgery (London, England) Apr 1, 2025
This study aimed to predict positive surgical margins in breast-conserving surgery (BCS) using multiparametric MRI (mpMRI) and radiomics. A retrospective analysis was conducted on data from 444 BCS patients from three Chinese hospitals between 2019 a...
Adult Breast Neoplasms Middle Aged Margins of Excision Retrospective Studies Female Aged Mastectomy, Segmental Humans Multiparametric Magnetic Resonance Imaging Machine Learning
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Enhancing surgical precision in squamous cell carcinoma of the head and neck: Hyperspectral imaging and artificial intelligence for improved margin assessment in an ex vivo setting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 30, 2025
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical resection for optimal outcomes. Achieving complete resection (R0) is crucial, but current methods, relying on white light endoscopy and microscopy, have ...
Female Aged Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence Margins of Excision Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Hyperspectral Imaging
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Untargeted Swab Touch Spray-Mass Spectrometry Analysis with Machine Learning for On-Site Breast Surgical Margin Assessment.

Analytical chemistry Jan 19, 2025
Direct sampling mass spectrometry (MS) has rapidly advanced with the development of ambient ionization MS techniques. Swab touch-spray (TS)-MS has shown promise for rapid clinical diagnostics. However, commercially available swabs are notorious for t...
Female Breast Neoplasms Mass Spectrometry Humans Breast Machine Learning Margins of Excision
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Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.

The Journal of urology Dec 17, 2024
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy for prostate cancer. Stimulated Raman histology (SRH) is a novel, real-time imaging technique that provides histologic images of fresh, unprocessed, a...
Laparoscopy Robotic Surgical Procedures Prostate Prostatectomy Margins of Excision Middle Aged Spectrum Analysis, Raman Prostatic Neoplasms Aged Sensitivity and Specificity Male Neural Networks, Computer Artificial Intelligence Humans
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A systematic scoping review exploring variation in practice in specimen mammography for Intraoperative Margin Analysis in Breast Conserving Surgery and the role of artificial intelligence in optimising diagnostic accuracy.

European journal of radiology Oct 9, 2024
PURPOSE: Specimen Mammography (SM) is commonly used in Breast Conserving Surgery (BCS) for intraoperative margin analysis. A systematic scoping review was conducted to identify sources of methodological variation in Specimen Mammography Interpretatio...
Breast Neoplasms Mammography Margins of Excision Mastectomy, Segmental Female Reproducibility of Results Sensitivity and Specificity Humans Artificial Intelligence
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Deep learning-enabled fluorescence imaging for surgical guidance: training for oral cancer depth quantification.

Journal of biomedical optics Sep 18, 2024
SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection with post-operative functionality. Current fluorescence imaging systems provide two-dimensional margin assessment yet fail to quantify tumor depth p...
Mouth Neoplasms Optical Imaging Computer Simulation Phantoms, Imaging Deep Learning Margins of Excision Image Processing, Computer-Assisted Humans Surgery, Computer-Assisted Neural Networks, Computer
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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 ...
Margins of Excision Adenocarcinoma of Lung Ablation Techniques Middle Aged Risk Assessment Time Factors Aged Machine Learning Female Radiomics Tomography, X-Ray Computed Decision Support Techniques Humans Risk Factors Clinical Decision-Making Neoplasm Staging Male Retrospective Studies Lung Neoplasms Neoplasm Recurrence, Local Radiographic Image Interpretation, Computer-Assisted Treatment Outcome Microwaves Predictive Value of Tests
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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...
Aged Male Middle Aged Margins of Excision Melanocytes Deep Learning Neoplasm Recurrence, Local Humans Female Skin Neoplasms Hutchinson's Melanotic Freckle
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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...
Margins of Excision Humans Mohs Surgery Artificial Intelligence Skin Neoplasms
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