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 M. Boctor; Maria Merino; Mark Lenox; Baris Turkbey; Bradford J. Wood

doi:10.1117/12.2512001

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 M. Boctor, Maria Merino, Mark Lenox, Baris Turkbey, Bradford J. Wood

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	Medical Imaging 2019
Subtitle of host publication	Ultrasonic Imaging and Tomography
Editors	Nicole V. Ruiter, Brett C. Byram
Publisher	SPIE
ISBN (Electronic)	9781510625570
DOIs	https://doi.org/10.1117/12.2512001
State	Published - 2019
Event	Medical Imaging 2019: Ultrasonic Imaging and Tomography - San Diego, United States Duration: Feb 17 2019 → Feb 18 2019

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10955
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2019: Ultrasonic Imaging and Tomography
Country/Territory	United States
City	San Diego
Period	2/17/19 → 2/18/19

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

Access to Document

10.1117/12.2512001

Cite this

Seifabadi, R., Cheng, A., Malik, B., Kishimoto, S., Wiskin, J., Munasinghe, J., Negussie, A. H., Bakhutashvili, I., Krishna, M. C., Choyke, P., Pinto, P., Rahmim, A., Boctor, E. M., Merino, M., Lenox, M., Turkbey, B., & Wood, B. J. (2019). Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. In N. V. Ruiter, & B. C. Byram (Eds.), Medical Imaging 2019: Ultrasonic Imaging and Tomography Article 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 et al.
Medical Imaging 2019: Ultrasonic Imaging and Tomography. ed. / Nicole V. Ruiter; Brett C. Byram. SPIE, 2019. 109550C (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10955).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, EM, Merino, M, Lenox, M, Turkbey, B & Wood, BJ 2019, Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer. in NV Ruiter & BC Byram (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 Ruiter NV, Byram BC, editors, Medical Imaging 2019: Ultrasonic Imaging and Tomography. SPIE. 2019. 109550C. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2512001

@inproceedings{68f3058bf3f4402e897f46d9cf1714ec,

title = "Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer",

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.",

keywords = "Full angle ultrasound tomography, Limited angle tomography, Prostate cancer, Transmission ultrasound",

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

note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Medical Imaging 2019: Ultrasonic Imaging and Tomography ; Conference date: 17-02-2019 Through 18-02-2019",

year = "2019",

doi = "10.1117/12.2512001",

language = "English (US)",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Ruiter, {Nicole V.} and Byram, {Brett C.}",

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T1 - Correlation of ultrasound tomography to MRI and pathology for the detection of prostate cancer

AU - Seifabadi, Reza

AU - Cheng, Alexis

AU - Malik, Bilal

AU - Kishimoto, Shun

AU - Wiskin, James

AU - Munasinghe, Jeeva

AU - Negussie, Ayele H.

AU - Bakhutashvili, Ivane

AU - Krishna, Murali C.

AU - Choyke, Peter

AU - Pinto, Peter

AU - Rahmim, Arman

AU - Boctor, Emad M.

AU - Merino, Maria

AU - Lenox, Mark

AU - Turkbey, Baris

AU - Wood, Bradford J.

PY - 2019

Y1 - 2019

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.

AB - 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.

KW - Full angle ultrasound tomography

KW - Limited angle tomography

KW - Prostate cancer

KW - Transmission ultrasound

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ER -

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

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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