Predicting the Common Carotid Artery Bifurcation: A Comparative Assessment of Landmark-Based Methods
Sampath Kumar1, Sebastian T Kiehn1, Lena M Duenas1
1Department of Biomedical Education and Data Science, Lewis Katz School of Medicine at Temple University, Philadelphia, USA.
Cureus
|August 11, 2025
Summary
Two new non-invasive models predict common carotid artery (CCA) bifurcation location using palpable neck landmarks. These models offer improved accuracy over previous methods for surgical planning and patient safety.
Area of Science:
- Anatomy
- Vascular Surgery
- Medical Imaging
Background:
- The common carotid artery (CCA) bifurcation is a critical anatomical landmark in vascular surgery.
- Accurate, non-invasive methods for locating the CCA bifurcation are needed for improved surgical planning and patient outcomes.
- Existing methods for predicting CCA bifurcation location have limitations.
Purpose of the Study:
- To develop and validate two novel, non-invasive models for predicting the CCA bifurcation location using palpable anatomical landmarks.
- To compare the predictive accuracy of the new models against a previously published method.
- To assess the clinical practicality and potential impact of the new models on patient care.
Main Methods:
- Measurements were taken from the jugular notch (JN), medial border of the clavicle (MBC), and mastoid process (MP) in human donors (n=30).
- Three models were used to predict CCA bifurcation location: Model I (published method), Model II (MBC-MP distance), and Model III (JN-MP distance).
- Predicted locations were compared with actual bifurcation locations using pre- and post-dissection measurements to assess model validity.
Main Results:
- Model I showed significant deviations from actual CCA bifurcation locations on both sides, using both pre- and post-dissection measurements.
- Models II and III demonstrated no significant differences between predicted and actual CCA bifurcation locations.
- The jugular notch (JN) landmark (Model III) may offer greater clinical practicality.
Conclusions:
- Two new non-invasive models (Model II using MBC, Model III using JN) accurately predict CCA bifurcation location.
- These models can enhance preoperative planning, improve surgical outcomes, and increase patient safety in procedures like carotid stenosis treatment.
- Further validation in diverse populations and clinical settings is recommended.


