Clinical Scorecard: A framework based on knowledge for effective segmentation of high-resolution impedance manometry catheters in video fluoroscopy images
At a Glance
Category
Detail
Condition
Oropharyngeal dysphagia in head and neck cancer patients
Key Mechanisms
Swallowing impairment assessed by videofluoroscopic swallow study (VFSS) and high-resolution impedance manometry (HRIM)
Target Population
Patients with head and neck cancer experiencing swallowing difficulties
Care Setting
Clinical diagnostic imaging and swallowing assessment units
Key Highlights
VFSS is the gold standard for dynamic, real-time assessment of swallowing phases and dysfunctions but relies heavily on clinician interpretation.
HRIM provides quantitative swallow metrics but requires manual region delineation, which is challenging in head and neck cancer patients due to anatomical changes.
A novel knowledge-based, template-free segmentation algorithm enables automatic localization of HRIM catheters in VFSS images, potentially integrating both modalities to reduce clinician workload.
Guideline-Based Recommendations
Diagnosis
Use videofluoroscopic swallow study (VFSS) for detailed dynamic assessment of swallowing phases and identification of dysfunctions.
Employ high-resolution impedance manometry (HRIM) to obtain quantitative swallow pressure and impedance metrics.
Management
Combine VFSS and HRIM assessments to improve diagnostic accuracy and guide recovery plans.
Consider automated or knowledge-based segmentation methods to facilitate catheter localization and region delineation in HRIM-VFSS integration.
Monitoring & Follow-up
Regularly assess swallowing function using VFSS and HRIM to monitor treatment effects and progression of oropharyngeal dysphagia.
Risks
Be aware of inter-rater variability and bias in VFSS interpretation.
Recognize that inaccurate manometric region delineation may lead to erroneous swallow quality indicators and misdiagnosis.
Patient & Prescribing Data
Head and neck cancer patients with oropharyngeal dysphagia undergoing swallowing assessment
Accurate delineation of manometric regions is critical for reliable HRIM analysis; integration of VFSS and HRIM via automated catheter segmentation may improve diagnostic precision and reduce clinician workload.
Clinical Best Practices
Perform VFSS with contrast boluses of varying volumes and consistencies to visualize all swallowing phases.
Use validated semi-automated programs for HRIM data analysis, ensuring careful manual delineation of manometric regions.
Adopt knowledge-based segmentation algorithms for catheter localization in VFSS to facilitate combined modality analysis.
Interpret VFSS and HRIM data collaboratively to overcome limitations of each modality and improve patient management.
by Manuel Maria Loureiro da Rocha, Dionne S.Brandsma, Lisette van der Molen, Maarten J. A. van Alphen, Michiel W. M. van den Brekel, Françoise J. Siepel
