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Pilot study of freshly excised breast tissue response in the 300-600 GHz range.
Cassar, Quentin; Al-Ibadi, Amel; Mavarani, Laven; Hillger, Philipp; Grzyb, Janusz; MacGrogan, Gaëtan; Zimmer, Thomas; Pfeiffer, Ullrich R; Guillet, Jean-Paul; Mounaix, Patrick.
Afiliação
  • Cassar Q; Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
  • Al-Ibadi A; Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
  • Mavarani L; Institute for High-Frequency and Communication Technology, University of Wuppertal, 42119 Wuppertal, Germany.
  • Hillger P; Institute for High-Frequency and Communication Technology, University of Wuppertal, 42119 Wuppertal, Germany.
  • Grzyb J; Institute for High-Frequency and Communication Technology, University of Wuppertal, 42119 Wuppertal, Germany.
  • MacGrogan G; Department of Pathology, Bergonié Institute, 33076 Bordeaux, France.
  • Zimmer T; Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
  • Pfeiffer UR; Institute for High-Frequency and Communication Technology, University of Wuppertal, 42119 Wuppertal, Germany.
  • Guillet JP; Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
  • Mounaix P; Integration: from Material to Systems Laboratory, UMR CNRS 5218, University of Bordeaux, 33400 Talence, France.
Biomed Opt Express ; 9(7): 2930-2942, 2018 Jul 01.
Article em En | MEDLINE | ID: mdl-29984076
ABSTRACT
The failure to accurately define tumor margins during breast conserving surgery (BCS) results in a 20% re-excision rate. The present paper reports the investigation to evaluate the potential of terahertz imaging for breast tissue recognition within the under-explored 300 - 600 GHz range. Such a frequency window matches new BiCMOS technology capabilities and thus opens up the opportunity for near-field terahertz imaging using these devices. To assess the efficacy of this frequency band, data from 16 freshly excised breast tissue samples were collected and analyzed directly after excision. Complex refractive indices have been extracted over the as-mentioned frequency band, and amplitude frequency images show some contrast between tissue types. Principal component analysis (PCA) has also been applied to the data in an attempt to automate tissue classification. Our observations suggest that the dielectric response could potentially provide contrast for breast tissue recognition within the 300 - 600 GHz range. These results open the way for silicon-based terahertz subwavelength near field imager design, efficient up to 600 GHz to address ex vivo life-science applications.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article