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Related Concept Videos

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Methods of Classification and Identification

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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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Vibroacoustographic System for Tumor Identification.

Peter A Pellionisz1,2,3,4,5, Nikan K Namiri4, Gregory Suematsu3

  • 1Department of Head and Neck Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA.

The Yale Journal of Biology and Medicine
|September 28, 2018
PubMed
Summary
This summary is machine-generated.

Vibroacoustography (VA) uses ultrasound to detect deep oral cancers, improving surgical precision. This mobile system differentiates cancerous tissue, aiding complete tumor resection and better patient outcomes.

Keywords:
head and neck cancerintraoperative imagingtumor imaging

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Area of Science:

  • Oncology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Oral and head and neck squamous cell carcinoma (OSCC) is a prevalent cancer globally.
  • Complete surgical resection is the primary treatment for OSCC, but achieving clear margins is challenging.
  • Current methods rely on surgeon palpation, which has variable accuracy and risks damaging adjacent structures.

Purpose of the Study:

  • To develop and evaluate a novel imaging technique for enhanced visualization of OSCC during surgery.
  • To improve the accuracy of tumor margin detection, facilitating complete tumor resection.
  • To provide surgeons with a tool to identify deep-seated or subtle cancerous lesions.

Main Methods:

  • Utilized vibroacoustography (VA), a technique mixing two ultrasonic beams to detect tissue viscoelasticity differences.
  • Developed a mobile VA system with an extended focal length for high-resolution imaging of deep tissues.
  • Generated 3D images by focusing the imaging plane at multiple axial cross-sections.
  • Validated the system using tissue-mimicking phantoms and ex vivo tongue squamous cell carcinoma specimens.

Main Results:

  • The mobile VA system successfully generated image contrast between normal and abnormal tissues within minutes.
  • Demonstrated the capability to detect focal lesions in deep tissue with high resolution.
  • Qualitative imaging results from phantoms and ex vivo specimens showed the system's functionality.

Conclusions:

  • Vibroacoustography is a promising technology for improving surgical resection of OSCC.
  • The developed mobile VA system offers a potential solution for identifying deep tumors often missed by surgeons.
  • Further clinical validation is warranted to confirm the benefits of VA in reducing tumor recurrence and improving patient outcomes.