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Pre-clinical evaluation of an image-guided in-situ Raman spectroscopy navigation system for targeted prostate cancer interventions.
Shams, Roozbeh; Picot, Fabien; Grajales, David; Sheehy, Guillaume; Dallaire, Frederick; Birlea, Mirela; Saad, Fred; Trudel, Dominique; Menard, Cynthia; Leblond, Frederic; Kadoury, Samuel.
Afiliación
  • Shams R; Polytechnique Montreal, Montreal, Canada.
  • Picot F; Polytechnique Montreal, Montreal, Canada.
  • Grajales D; Polytechnique Montreal, Montreal, Canada.
  • Sheehy G; Polytechnique Montreal, Montreal, Canada.
  • Dallaire F; Polytechnique Montreal, Montreal, Canada.
  • Birlea M; Centre Hospitalier de l'Universite de Montreal Research Center, Montreal, Canada.
  • Saad F; Centre Hospitalier de l'Universite de Montreal Research Center, Montreal, Canada.
  • Trudel D; Centre Hospitalier de l'Universite de Montreal Research Center, Montreal, Canada.
  • Menard C; Centre Hospitalier de l'Universite de Montreal Research Center, Montreal, Canada.
  • Leblond F; Polytechnique Montreal, Montreal, Canada.
  • Kadoury S; Polytechnique Montreal, Montreal, Canada. samuel.kadoury@polymtl.ca.
Int J Comput Assist Radiol Surg ; 15(5): 867-876, 2020 May.
Article en En | MEDLINE | ID: mdl-32227280
PURPOSE: Transrectal ultrasound (TRUS) image guidance is the standard of care for diagnostic and therapeutic interventions in prostate cancer (PCa) patients, but can lead to high false-negative rates, compromising downstream effectiveness of therapeutic choices. A promising approach to improve in-situ detection of PCa lies in using the optical properties of the tissue to discern cancer from healthy tissue. In this work, we present the first in-situ image-guided navigation system for a spatially tracked Raman spectroscopy probe integrated in a PCa workflow, capturing the optical tissue fingerprint. The probe is guided with fused TRUS/MR imaging and tested with both tissue-simulating phantoms and ex-vivo prostates. The workflow was designed to be integrated the clinical workflow for trans-perineal prostate biopsies, as well as for high-dose rate (HDR) brachytherapy. METHODS: The proposed system developed in 3D Slicer includes an electromagnetically tracked Raman spectroscopy probe, along with tracked TRUS imaging automatically registered to diagnostic MRI. The proposed system is tested on both custom gelatin tissue-simulating optical phantoms and biological tissue phantoms. A random-forest classifier was then trained on optical spectrums from ex-vivo prostates following prostatectomy using our optical probe. Preliminary in-human results are presented with the Raman spectroscopy instrument to detect malignant tissue in-situ with histopathology confirmation. RESULTS: In 5 synthetic gelatin and biological tissue phantoms, we demonstrate the ability of the image-guided Raman system by detecting over 95% of lesions, based on biopsy samples. The included lesion volumes ranged from 0.1 to 0.61 cc. We showed the compatibility of our workflow with the current HDR brachytherapy setup. In ex-vivo prostates of PCa patients, the system showed a 81% detection accuracy in high grade lesions. CONCLUSION: Pre-clinical experiments demonstrated promising results for in-situ confirmation of lesion locations in prostates using Raman spectroscopy, both in phantoms and human ex-vivo prostate tissue, which is required for integration in HDR brachytherapy procedures.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Prostatectomía / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans / Male Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Prostatectomía / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans / Male Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Canadá