AIMC Topic: Mastectomy, Segmental
Clear Filters Showing 11 to 20 of 30 articles
[Robot assisted prophylactic mastectomy].
Gynecologie, obstetrique, fertilite & senologie
Apr 3, 2023
Comparison of Short-Term Outcomes Between Robot-Assisted and Video-Assisted Segmentectomy for Small Pulmonary Nodules: A Propensity Score-Matching Study.
Annals of surgical oncology
Feb 11, 2023
BACKGROUND: Our study aimed to compare the short-term outcomes between robot-assisted segmentectomy (RAS) and video-assisted segmentectomy (VAS) for small pulmonary nodules.
Robot-assisted segmentectomy for small lung cancer using a radiofrequency identification marker.
Asian cardiovascular & thoracic annals
Dec 21, 2022
Owing to the prevalence of robot-assisted thoracoscopic surgery and the increase in the number of small lung cancer cases, robot-assisted thoracoscopic segmentectomy cases have also been increasing. For small lung cancers, such as ground-glass opacit...
Trends in segmentectomy for the treatment of stage 1A non-small cell lung cancers: Does the robot have an impact?
American journal of surgery
Oct 26, 2022
OBJECTIVES: Lobectomy may unnecessarily resect healthy lung parenchyma in Stage 1A non-small cell lung cancers (NSCLC). Segmentectomies may provide a lung-sparing option. VATS segmentectomies can be technically challenging; robotics may have features...
Ultrasound Image Features under Deep Learning in Breast Conservation Surgery for Breast Cancer.
Journal of healthcare engineering
Sep 17, 2021
This study was to analyze the effect of the combined application of deep learning technology and ultrasound imaging on the effect of breast-conserving surgery for breast cancer. A deep label distribution learning (LDL) model was designed, and the sem...
Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.
AJR. American journal of roentgenology
Aug 11, 2021
Postoperative mammograms present interpretive challenges due to postoperative distortion and hematomas. The application of digital breast tomosyn-thesis (DBT) and artificial intelligence-based computer-aided detection (AI-CAD) after breast-conservin...
Domain adaptation and self-supervised learning for surgical margin detection.
International journal of computer assisted radiology and surgery
May 6, 2021
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spectrometry modality that produces real-time margin information based on the metabolite signatures in s...
Stochastic Processes
Margins of Excision
Reproducibility of Results
Mastectomy, Segmental
Female
Sensitivity and Specificity
Supervised Machine Learning
Skin Neoplasms
Breast Neoplasms
Carcinoma, Basal Cell
Calibration
Breast
Humans
Area Under Curve
Operating Rooms
Mastectomy
Machine Learning
Skin
Algorithms
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Apr 26, 2021
The surgical margin status of breast lumpectomy specimens for invasive carcinoma and ductal carcinoma in situ (DCIS) guides clinical decisions, as positive margins are associated with higher rates of local recurrence. The "cavity shave" method of mar...
Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
Radiation oncology (London, England)
Feb 25, 2021
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and reduction of radiation doses to the nearby normal organs is important. However, manual clinical target volume (CTV) and organs-at-risk (OARs) segmentat...
Reply: Video-assisted thoracoscopic surgery versus robotic assisted surgery: Can they both co-exist?
The Journal of thoracic and cardiovascular surgery
Jun 16, 2020
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