Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer

Reza Seifabadi, Alexis Cheng, Bilal Malik, Shun Kishimoto, James Wiskin, Jeeva Munasinghe, Ayele H. Negussie, Ivane Bakhutashvili, Murali C. Krishna, Peter Choyke, Peter Pinto, Arman Rahmim, Emad Boctor, Maria Merino, Mark Lenox, Baris Turkbey, Bradford J. Wood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Purpose: This study aims to investigate correlation of speed of sound (SoS) map with T2-weighted (T2w) MRI and pathology in an ex vivo human prostate tissue with cancer, as an early proof of concept towards cost effective augmented ultrasound diagnosis of prostate cancer. Method: A commercial breast full angle ultrasound tomography scanner was used to generate US tomography images. Prostate-specific Echolucent mold was fabricated to allow MRI and UST to be spatially correlated. Similarly, a 3D printed mold was developed to align the histology slices with the UST and MRI. The resulting slices of prostate tissue were H and E stained. A radiologist with 10 years of experience in using multi parametric MRI for prostate cancer diagnosis labeled and contoured the suspicious ROIs in both MRI and UST. For all tissue blocks (N=10 slices with 6 mm thickness), H and E slides were prepared and labeled by an expert pathologist. Results: The radiologist found two slices with prominent cancer in each modality (i.e. MR and UST) in the peripheral zone. These two pairs of slices correlated with each other and with slices #5 and #7 in pathology. The cancer ROIs were found at similar locations in all modalities, although MR and UST underestimated the size of lesions (Sørensen-Dice coefficients, with respect to pathology, for T2w and UST were 0.11 and 0.20 respectively for first ROI, and 0.33 and 0.27 for second ROI). The SoS was 1580.4±17.7 m/s and 1571.4±9.2 m/s for normal and cancer tissues in first ROI, and 1577.7±17.7 m/s and 1574.5±10.1 m/s for second ROI. Conclusions: SoS map can correlate with MRI and pathology findings in prostate cancer. Further ex vivo validation with fresh prostate tissue is warranted.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2019
Subtitle of host publicationUltrasonic Imaging and Tomography
EditorsBrett C. Byram, Nicole V. Ruiter
PublisherSPIE
ISBN (Electronic)9781510625570
DOIs
StatePublished - Jan 1 2019
EventMedical Imaging 2019: Ultrasonic Imaging and Tomography - San Diego, United States
Duration: Feb 17 2019Feb 18 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10955
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2019: Ultrasonic Imaging and Tomography
CountryUnited States
CitySan Diego
Period2/17/192/18/19

Fingerprint

pathology
Pathology
Magnetic resonance imaging
Tomography
Prostatic Neoplasms
tomography
Ultrasonics
cancer
Prostate
Tissue
Acoustic wave velocity
Neoplasms
Fungi
acoustics
Histology
histology
Breast
chutes
breast
lesions

Keywords

  • Full angle ultrasound tomography
  • Limited angle tomography
  • Prostate cancer
  • Transmission ultrasound

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Seifabadi, R., Cheng, A., Malik, B., Kishimoto, S., Wiskin, J., Munasinghe, J., ... Wood, B. J. (2019). Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. In B. C. Byram, & N. V. Ruiter (Eds.), Medical Imaging 2019: Ultrasonic Imaging and Tomography [109550C] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10955). SPIE. https://doi.org/10.1117/12.2512001

Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. / Seifabadi, Reza; Cheng, Alexis; Malik, Bilal; Kishimoto, Shun; Wiskin, James; Munasinghe, Jeeva; Negussie, Ayele H.; Bakhutashvili, Ivane; Krishna, Murali C.; Choyke, Peter; Pinto, Peter; Rahmim, Arman; Boctor, Emad; Merino, Maria; Lenox, Mark; Turkbey, Baris; Wood, Bradford J.

Medical Imaging 2019: Ultrasonic Imaging and Tomography. ed. / Brett C. Byram; Nicole V. Ruiter. SPIE, 2019. 109550C (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10955).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Seifabadi, R, Cheng, A, Malik, B, Kishimoto, S, Wiskin, J, Munasinghe, J, Negussie, AH, Bakhutashvili, I, Krishna, MC, Choyke, P, Pinto, P, Rahmim, A, Boctor, E, Merino, M, Lenox, M, Turkbey, B & Wood, BJ 2019, Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. in BC Byram & NV Ruiter (eds), Medical Imaging 2019: Ultrasonic Imaging and Tomography., 109550C, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10955, SPIE, Medical Imaging 2019: Ultrasonic Imaging and Tomography, San Diego, United States, 2/17/19. https://doi.org/10.1117/12.2512001
Seifabadi R, Cheng A, Malik B, Kishimoto S, Wiskin J, Munasinghe J et al. Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. In Byram BC, Ruiter NV, editors, Medical Imaging 2019: Ultrasonic Imaging and Tomography. SPIE. 2019. 109550C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2512001
Seifabadi, Reza ; Cheng, Alexis ; Malik, Bilal ; Kishimoto, Shun ; Wiskin, James ; Munasinghe, Jeeva ; Negussie, Ayele H. ; Bakhutashvili, Ivane ; Krishna, Murali C. ; Choyke, Peter ; Pinto, Peter ; Rahmim, Arman ; Boctor, Emad ; Merino, Maria ; Lenox, Mark ; Turkbey, Baris ; Wood, Bradford J. / Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. Medical Imaging 2019: Ultrasonic Imaging and Tomography. editor / Brett C. Byram ; Nicole V. Ruiter. SPIE, 2019. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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abstract = "Purpose: This study aims to investigate correlation of speed of sound (SoS) map with T2-weighted (T2w) MRI and pathology in an ex vivo human prostate tissue with cancer, as an early proof of concept towards cost effective augmented ultrasound diagnosis of prostate cancer. Method: A commercial breast full angle ultrasound tomography scanner was used to generate US tomography images. Prostate-specific Echolucent mold was fabricated to allow MRI and UST to be spatially correlated. Similarly, a 3D printed mold was developed to align the histology slices with the UST and MRI. The resulting slices of prostate tissue were H and E stained. A radiologist with 10 years of experience in using multi parametric MRI for prostate cancer diagnosis labeled and contoured the suspicious ROIs in both MRI and UST. For all tissue blocks (N=10 slices with 6 mm thickness), H and E slides were prepared and labeled by an expert pathologist. Results: The radiologist found two slices with prominent cancer in each modality (i.e. MR and UST) in the peripheral zone. These two pairs of slices correlated with each other and with slices #5 and #7 in pathology. The cancer ROIs were found at similar locations in all modalities, although MR and UST underestimated the size of lesions (S{\o}rensen-Dice coefficients, with respect to pathology, for T2w and UST were 0.11 and 0.20 respectively for first ROI, and 0.33 and 0.27 for second ROI). The SoS was 1580.4±17.7 m/s and 1571.4±9.2 m/s for normal and cancer tissues in first ROI, and 1577.7±17.7 m/s and 1574.5±10.1 m/s for second ROI. Conclusions: SoS map can correlate with MRI and pathology findings in prostate cancer. Further ex vivo validation with fresh prostate tissue is warranted.",
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AU - Munasinghe, Jeeva

AU - Negussie, Ayele H.

AU - Bakhutashvili, Ivane

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AU - Pinto, Peter

AU - Rahmim, Arman

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N2 - Purpose: This study aims to investigate correlation of speed of sound (SoS) map with T2-weighted (T2w) MRI and pathology in an ex vivo human prostate tissue with cancer, as an early proof of concept towards cost effective augmented ultrasound diagnosis of prostate cancer. Method: A commercial breast full angle ultrasound tomography scanner was used to generate US tomography images. Prostate-specific Echolucent mold was fabricated to allow MRI and UST to be spatially correlated. Similarly, a 3D printed mold was developed to align the histology slices with the UST and MRI. The resulting slices of prostate tissue were H and E stained. A radiologist with 10 years of experience in using multi parametric MRI for prostate cancer diagnosis labeled and contoured the suspicious ROIs in both MRI and UST. For all tissue blocks (N=10 slices with 6 mm thickness), H and E slides were prepared and labeled by an expert pathologist. Results: The radiologist found two slices with prominent cancer in each modality (i.e. MR and UST) in the peripheral zone. These two pairs of slices correlated with each other and with slices #5 and #7 in pathology. The cancer ROIs were found at similar locations in all modalities, although MR and UST underestimated the size of lesions (Sørensen-Dice coefficients, with respect to pathology, for T2w and UST were 0.11 and 0.20 respectively for first ROI, and 0.33 and 0.27 for second ROI). The SoS was 1580.4±17.7 m/s and 1571.4±9.2 m/s for normal and cancer tissues in first ROI, and 1577.7±17.7 m/s and 1574.5±10.1 m/s for second ROI. Conclusions: SoS map can correlate with MRI and pathology findings in prostate cancer. Further ex vivo validation with fresh prostate tissue is warranted.

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