AIMC Topic: Mastectomy

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Efficacy of da Vinci robot-assisted lymph node surgery than conventional axillary lymph node dissection in breast cancer - A comparative study.

The international journal of medical robotics + computer assisted surgery : MRCAS Jul 29, 2021
BACKGROUND: da Vinci robot-assisted axillary lymph node dissection (dVALND) can be a minimally invasive technique to minimize post-operative complications.
Lymphatic Metastasis Lymph Node Excision Robotics Robotic Surgical Procedures Mastectomy Humans Female Breast Neoplasms Quality of Life Lymph Nodes
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Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

Scientific reports Jul 19, 2021
For a patient affected by breast cancer, after tumor removal, it is necessary to decide which adjuvant therapy is able to prevent tumor relapse and formation of metastases. A prediction of the outcome of adjuvant therapy tailored for the patient is h...
Mastectomy Humans Neural Networks, Computer Neoplasm Recurrence, Local Transcriptome Prognosis Artificial Intelligence Survival Analysis Gene Regulatory Networks Female Machine Learning Microarray Analysis Gene Expression Regulation, Neoplastic Breast Neoplasms Chemotherapy, Adjuvant Predictive Value of Tests Biomarkers, Tumor Gene Expression Profiling
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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...
Skin Neoplasms Carcinoma, Basal Cell Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Humans Machine Learning Algorithms Female Mastectomy, Segmental Supervised Machine Learning Calibration Operating Rooms Stochastic Processes Margins of Excision Area Under Curve Skin Breast Mastectomy
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Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.

European journal of cancer (Oxford, England : 1990) Feb 24, 2021
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) for preoperatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatme...
Predictive Value of Tests Ultrasonography, Mammary Mastectomy Image Interpretation, Computer-Assisted Observer Variation Nomograms Treatment Outcome Neoadjuvant Therapy Neoplasm Invasiveness Chemotherapy, Adjuvant Humans Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Adult Breast Neoplasms Middle Aged Deep Learning
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Residual breast tissue after robot-assisted nipple sparing mastectomy.

Breast (Edinburgh, Scotland) Dec 3, 2020
INTRODUCTION: While the long-term oncologic safety of robot-assisted nipple sparing mastectomy (RNSM) remains to be elucidated, histologically detected residual breast tissue (RBT) can be a surrogate for oncologically sound mastectomy. The objective ...
Mastectomy, Subcutaneous Humans Robotics Retrospective Studies Mastectomy Female Mammaplasty Breast Neoplasms Organ Sparing Treatments Nipples
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Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.

Surgery today Oct 26, 2020
PURPOSE: We used five machine-learning algorithms to predict cancer-specific mortality after surgical resection of primary non-metastatic invasive breast cancer.
Humans Machine Learning Prognosis Female Survival Rate Breast Neoplasms Logistic Models Neoplasm Invasiveness Mastectomy
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Robot-assisted Nipple-sparing Mastectomy With Immediate Breast Reconstruction: An initial Experience of the Korea Robot-endoscopy Minimal Access Breast Surgery Study Group (KoREa-BSG).

Annals of surgery Sep 15, 2020
OBJECTIVE: The aim of this study was to present the results of early experience of robot-assisted nipple sparing mastectomy (RANSM).
Nipples Breast Neoplasms Middle Aged Humans Robotics Mastectomy Female Mammaplasty Endoscopy
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Lymph Node Excision Axilla Neoplasm Staging Breast Mastectomy Reference Standards Preoperative Period Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve Female Elasticity Imaging Techniques Aged Humans Aged, 80 and over Prospective Studies Adult Prognosis
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A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk.

Breast cancer research : BCR Jul 29, 2019
BACKGROUND: Breast ductal carcinoma in situ (DCIS) represent approximately 20% of screen-detected breast cancers. The overall risk for DCIS patients treated with breast-conserving surgery stems almost exclusively from local recurrence. Although a mas...
Adult Breast Neoplasms Humans Biomarkers, Tumor Neoplasm Staging Immunohistochemistry Machine Learning Prognosis Middle Aged Neoplasm Grading Proportional Hazards Models Female Risk Assessment Mastectomy Aged Carcinoma, Intraductal, Noninfiltrating Aged, 80 and over Neoplasm Recurrence, Local
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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

British journal of anaesthesia Jul 31, 2018
BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of ...
Surveys and Questionnaires Cohort Studies Mastectomy Predictive Value of Tests Humans Chronic Pain Machine Learning Breast Neoplasms Anger Pain Measurement Female Middle Aged Pain, Postoperative Adult Anxiety Psychiatric Status Rating Scales Depression
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