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Medical Specialties Commons

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Full-Text Articles in Medical Specialties

Does Breast Cancer Subtype Impact Margin Status In Patients Undergoing Partial Mastectomy?, Andrew Fenton, Elisabeth Dupont, Theodore Tsangaris, Carlos Garcia-Cantu, Marissa Howard-Mcnatt, Akiko Chiba, Adam Berger, Edward Levine, Jennifer Gass, Kristalyn Gallagher, Sharon Lum, Ricardo Martinez, Alliric Willis, Sonali Pandya, Eric A. Brown, Amanda Mendiola, Naveenraj Solomon, Maheswari Senthil, David Ollila, David Edmonson, Melissa Lazar, Jukes Namm, Fangyong Li, Meghan Butler, Noreen Mcgowan, Maria Herrera, Yoana Avitan, Brian Yoder, Laura L. Walters, Tara Mcpartland, Victor Haddad, Hongwei Ma, Ming Xie, Anees Chagpar Dec 2020

Does Breast Cancer Subtype Impact Margin Status In Patients Undergoing Partial Mastectomy?, Andrew Fenton, Elisabeth Dupont, Theodore Tsangaris, Carlos Garcia-Cantu, Marissa Howard-Mcnatt, Akiko Chiba, Adam Berger, Edward Levine, Jennifer Gass, Kristalyn Gallagher, Sharon Lum, Ricardo Martinez, Alliric Willis, Sonali Pandya, Eric A. Brown, Amanda Mendiola, Naveenraj Solomon, Maheswari Senthil, David Ollila, David Edmonson, Melissa Lazar, Jukes Namm, Fangyong Li, Meghan Butler, Noreen Mcgowan, Maria Herrera, Yoana Avitan, Brian Yoder, Laura L. Walters, Tara Mcpartland, Victor Haddad, Hongwei Ma, Ming Xie, Anees Chagpar

Conference Presentation Abstracts

BACKGROUND: Molecular subtype in invasive breast cancer guides systemic therapy. It is unknown whether molecular subtype should also be considered to tailor surgical therapy. The present investigation was designed to evaluate whether breast cancer subtype impacted surgical margins in patients with invasive breast cancer stage I through III undergoing breast-conserving therapy.

METHODS: Data from 2 randomized trials evaluating cavity shave margins (CSM) on margin status in patients undergoing partial mastectomy (PM) were used for this analysis. Patients were included if invasive carcinoma was present in the PM specimen and data for all 3 receptors (ER, PR, and HER2) were known. …


Ultrasound Guided Laparoscopic Radiofrequency Ablation For Very Large Multi-Fibroid Uterus, Alia A. Shah, Jay E. Fisher Nov 2020

Ultrasound Guided Laparoscopic Radiofrequency Ablation For Very Large Multi-Fibroid Uterus, Alia A. Shah, Jay E. Fisher

Conference Presentation Abstracts

Study Objective

This video describes the technique and advantages of laparoscopic radiofrequency ablation with ultrasound guidance for the treatment of very large multi-fibroid uteri.

Design

N/A

Setting

Large tertiary care hospital.

Patients or Participants

45-year-old gravida 2 para 0 female with menorrhagia, dysmenorrhea, and bulk symptoms secondary to a very large multi-fibroid uterus. She desired a minimally invasive and uterine conserving method to treat her symptoms.

Interventions

We performed laparoscopic radiofrequency ablation under ultrasound guidance for the patients’ multiple fibroids. The uterus was mapped ultrasonographically using the laparoscopic ultrasound transducer. Next, under laparoscopic visualization, the needle handpiece was inserted into …


Machine Learning Can Identify Abnormal Chromosomes To Facilitate Initial Screening In The Cytogenomics Laboratory, Mark Micale, Zhenhong Qu, Blake Martin Sep 2020

Machine Learning Can Identify Abnormal Chromosomes To Facilitate Initial Screening In The Cytogenomics Laboratory, Mark Micale, Zhenhong Qu, Blake Martin

Conference Presentation Abstracts

Context: Artificial intelligence/machine learning (AI-ML) has made great strides in recent years with applications in diagnostic medicine. We tested the hypothesis that AI-ML can permit initial screening for structural chromosome abnormalities at various band levels of resolution. Such technology could markedly reduce the downstream laboratory workload and increase turnaround time in cases positive for a clinically significant chromosome abnormality.

Design: We utilized partial karyotypes of normal chromosomes 4, 5, 7, 9, 13, 21, and 22 and abnormal derivative chromosomes 9 and 22 from the t(9;22)(q34;q11.2) associated with chronic myeloid leukemia to train our AI-ML system to identify normal from abnormal …