Practice Location

1924 ALCOA HWY
KNOXVILLE, TN 37920-1511

Phone: (865) 544-9060

What does GARNETTA MORIN-DUCOTE research?

Dr. Morin-Ducote's research revolves around various aspects of mammography—an imaging technique used to detect breast cancer. She studies how radiologists visually search for abnormalities in mammograms, analyzing factors such as eye movement patterns that can influence diagnostic accuracy. Additionally, she investigates different methods of assessing the similarity of breast masses in mammograms, aiming to create better evaluation models for radiologists. Lastly, her work includes examining surgical techniques for breast cancer treatment, offering insights into how different methods can lead to better patient outcomes.

Key findings

  • In a study of 100 mammograms, factors like breast tissue density and radiologist experience affected the complexity of visual search patterns, which are crucial for accurate breast cancer detection.
  • Using a combined rating and ranking method to assess mammograms led to a 55.5% accuracy in reflecting radiologists' views on breast mass similarities, compared to 45.3% and 40.8% for other methods.
  • Eye-tracking technology in mammography predicted diagnostic errors with about 79% accuracy for group models and 84% accuracy for experienced radiologists, potentially reducing misdiagnoses.
  • In evaluating surgical techniques for breast tumor removal, the single wire localization method had a 25% rate of positive margins, while the flanking technique had a 31% rate, raising concerns about its effectiveness.

Frequently asked questions

Does Dr. Morin-Ducote study breast cancer?
Yes, Dr. Morin-Ducote focuses heavily on breast cancer detection and treatment, particularly through mammography and surgical techniques.
What methods has Dr. Morin-Ducote researched to improve mammogram readings?
She has researched eye-tracking technology to analyze radiologists' gaze patterns and developed better evaluation models for assessing breast masses.
Is Dr. Morin-Ducote's work relevant to patients undergoing mammograms?
Absolutely, her research directly benefits patients by helping improve the accuracy of mammograms, leading to better breast cancer detection.
What techniques for breast cancer surgery has Dr. Morin-Ducote studied?
She has studied different surgical techniques for locating and removing non-visible tumors, comparing their effectiveness in terms of cancer margin and further surgery needs.

Publications in plain English

Fractal analysis of visual search activity for mass detection during mammographic screening.

2017

Medical physics

Alamudun F, Yoon HJ, Hudson KB, Morin-Ducote G, Hammond T +1 more

Plain English
This study looked at how radiologists search for abnormalities in mammograms, focusing on the complexity of their visual scanning patterns. Researchers analyzed data from 100 mammograms (25 normal, 25 benign, and 50 malignant) viewed by 10 readers, using a method to measure the complexity of their eye movements. They found that factors like the type of case, the density of breast tissue, and the experience level of the reader all influenced how complex the visual search pattern was during breast cancer screening. Who this helps: This helps radiologists improve their diagnostic accuracy and effectiveness in detecting breast cancer.

PubMed

Predicting diagnostic error in radiology via eye-tracking and image analytics: preliminary investigation in mammography.

2013

Medical physics

Voisin S, Pinto F, Morin-Ducote G, Hudson KB, Tourassi GD

Plain English
This study looked at how eye-tracking technology can help predict mistakes made by radiologists when assessing mammograms for breast cancer. Researchers found that combining radiologists' gaze patterns with features of the mammogram images led to a fairly accurate prediction of errors, achieving about 79% accuracy for the group model and 84% accuracy for more experienced radiologists. This matters because it could improve the reliability of mammogram readings and enhance patient care by reducing misdiagnoses. Who this helps: This benefits patients undergoing mammography and radiologists interpreting the images.

PubMed

Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammograms.

2013

Academic radiology

Tourassi G, Yoon HJ, Xu S, Morin-Ducote G, Hudson K

Plain English
This study looked at different ways to collect opinions from radiologists about how similar certain breast masses appear on mammograms. Researchers found that a method combining rating and ranking led to user models that accurately reflected the radiologists’ views 55.5% of the time, which was much better than the other methods: 45.3% for rating alone and 40.8% for preference alone. This matters because better models help radiologists make more accurate judgments, improving patient care in breast cancer detection. Who this helps: This helps radiologists and ultimately benefits patients undergoing mammograms.

PubMed

The effect of multiple wire localization in breast conservation.

2012

The American surgeon

Fillion MM, Black EA, Hudson KB, Morin-Ducote G, Bell JL +2 more

Plain English
This study looked at two different surgical techniques used to locate and remove non-visible breast tumors in women with breast cancer. Researchers found that 25% of patients using the single wire technique had positive margins—meaning cancer cells were found at the edges of the removed tissue—while the flanking technique had a higher rate of 31% positive margins, along with more patients needing further surgery. The study also revealed that the tumors removed with the flanking technique were larger on average, raising concerns about its effectiveness. Who this helps: This research helps breast cancer patients and their doctors by providing insights into the effectiveness of different surgical techniques.

PubMed

Frequent Co-Authors

Kathleen B Hudson Hong-Jun Yoon Georgia D Tourassi Folami Alamudun Tracy Hammond Georgia Tourassi Songhua Xu Kathy Hudson Sophie Voisin Frank Pinto

Physician data sourced from the NPPES NPI Registry . Publication data from PubMed . Plain-English summaries generated by AI. Not medical advice.