Prostate cancer detection based on three dimensional sonoelastography

B. Castaneda; K. Hoyt; M. Zhang; D. Pasternack; L. Baxter; P. Nigwekar; A. Di Sant'Agnese; J. Joseph; J. Strang; D. J. Rubens; K. J. Parker

doi:10.1109/ULTSYM.2007.340

Prostate cancer detection based on three dimensional sonoelastography

B. Castaneda
, K. Hoyt
, M. Zhang
, D. Pasternack
, L. Baxter
, P. Nigwekar
, A. Di Sant'Agnese
, J. Joseph
, J. Strang
, D. J. Rubens
, K. J. Parker

University of Rochester

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

12 Scopus citations

Abstract

In this paper, we evaluate the performance of sonoelastography for prostate cancer detection. Ultrasound (US) B-mode and sonoelastographic volumes were acquired from five prostate glands ex vivo. Additionally, one more gland was imaged in vivo using a transrectal US probe. Semi-automatic algorithms were used to segment the surface of the gland from the B-mode volume and the tumors from sonoelastographic data. To assess the detection performance, three dimensional (3D) sonoelastographic findings were compared in size and position to 3D histological data. Sonoelastography detected seven out of nine cancers in the ex vivo prostate glands and two out of three malignant masses in the in vivo experiment. Overall, 3D sonoelastography has shown potential for prostate cancer detection albeit based on limited data.

Original language	English
Title of host publication	2007 IEEE Ultrasonics Symposium Proceedings, IUS
Pages	1353-1356
Number of pages	4
DOIs	https://doi.org/10.1109/ULTSYM.2007.340
State	Published - 2007
Externally published	Yes
Event	2007 IEEE Ultrasonics Symposium, IUS - New York, NY, United States Duration: 28 Oct 2007 → 31 Oct 2007

Publication series

Name	Proceedings - IEEE Ultrasonics Symposium
ISSN (Print)	1051-0117

Conference

Conference	2007 IEEE Ultrasonics Symposium, IUS
Country/Territory	United States
City	New York, NY
Period	28/10/07 → 31/10/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Elasticity imaging
Prostate cancer detection
Three-dimensional sonoelastography

Access to Document

10.1109/ULTSYM.2007.340

Cite this

Castaneda, B., Hoyt, K., Zhang, M., Pasternack, D., Baxter, L., Nigwekar, P., Di Sant'Agnese, A., Joseph, J., Strang, J., Rubens, D. J., & Parker, K. J. (2007). Prostate cancer detection based on three dimensional sonoelastography. In 2007 IEEE Ultrasonics Symposium Proceedings, IUS (pp. 1353-1356). Article 4409913 (Proceedings - IEEE Ultrasonics Symposium). https://doi.org/10.1109/ULTSYM.2007.340

@inproceedings{5c5e9cba62ea4a57828182f26ebdc1b5,

title = "Prostate cancer detection based on three dimensional sonoelastography",

abstract = "In this paper, we evaluate the performance of sonoelastography for prostate cancer detection. Ultrasound (US) B-mode and sonoelastographic volumes were acquired from five prostate glands ex vivo. Additionally, one more gland was imaged in vivo using a transrectal US probe. Semi-automatic algorithms were used to segment the surface of the gland from the B-mode volume and the tumors from sonoelastographic data. To assess the detection performance, three dimensional (3D) sonoelastographic findings were compared in size and position to 3D histological data. Sonoelastography detected seven out of nine cancers in the ex vivo prostate glands and two out of three malignant masses in the in vivo experiment. Overall, 3D sonoelastography has shown potential for prostate cancer detection albeit based on limited data.",

keywords = "Elasticity imaging, Prostate cancer detection, Three-dimensional sonoelastography",

author = "B. Castaneda and K. Hoyt and M. Zhang and D. Pasternack and L. Baxter and P. Nigwekar and \{Di Sant'Agnese\}, A. and J. Joseph and J. Strang and Rubens, \{D. J.\} and Parker, \{K. J.\}",

year = "2007",

doi = "10.1109/ULTSYM.2007.340",

language = "English",

isbn = "1424413834",

series = "Proceedings - IEEE Ultrasonics Symposium",

pages = "1353--1356",

booktitle = "2007 IEEE Ultrasonics Symposium Proceedings, IUS",

note = "2007 IEEE Ultrasonics Symposium, IUS ; Conference date: 28-10-2007 Through 31-10-2007",

}

Castaneda, B, Hoyt, K, Zhang, M, Pasternack, D, Baxter, L, Nigwekar, P, Di Sant'Agnese, A, Joseph, J, Strang, J, Rubens, DJ & Parker, KJ 2007, Prostate cancer detection based on three dimensional sonoelastography. in 2007 IEEE Ultrasonics Symposium Proceedings, IUS., 4409913, Proceedings - IEEE Ultrasonics Symposium, pp. 1353-1356, 2007 IEEE Ultrasonics Symposium, IUS, New York, NY, United States, 28/10/07. https://doi.org/10.1109/ULTSYM.2007.340

TY - GEN

T1 - Prostate cancer detection based on three dimensional sonoelastography

AU - Castaneda, B.

AU - Hoyt, K.

AU - Zhang, M.

AU - Pasternack, D.

AU - Baxter, L.

AU - Nigwekar, P.

AU - Di Sant'Agnese, A.

AU - Joseph, J.

AU - Strang, J.

AU - Rubens, D. J.

AU - Parker, K. J.

PY - 2007

Y1 - 2007

N2 - In this paper, we evaluate the performance of sonoelastography for prostate cancer detection. Ultrasound (US) B-mode and sonoelastographic volumes were acquired from five prostate glands ex vivo. Additionally, one more gland was imaged in vivo using a transrectal US probe. Semi-automatic algorithms were used to segment the surface of the gland from the B-mode volume and the tumors from sonoelastographic data. To assess the detection performance, three dimensional (3D) sonoelastographic findings were compared in size and position to 3D histological data. Sonoelastography detected seven out of nine cancers in the ex vivo prostate glands and two out of three malignant masses in the in vivo experiment. Overall, 3D sonoelastography has shown potential for prostate cancer detection albeit based on limited data.

AB - In this paper, we evaluate the performance of sonoelastography for prostate cancer detection. Ultrasound (US) B-mode and sonoelastographic volumes were acquired from five prostate glands ex vivo. Additionally, one more gland was imaged in vivo using a transrectal US probe. Semi-automatic algorithms were used to segment the surface of the gland from the B-mode volume and the tumors from sonoelastographic data. To assess the detection performance, three dimensional (3D) sonoelastographic findings were compared in size and position to 3D histological data. Sonoelastography detected seven out of nine cancers in the ex vivo prostate glands and two out of three malignant masses in the in vivo experiment. Overall, 3D sonoelastography has shown potential for prostate cancer detection albeit based on limited data.

KW - Elasticity imaging

KW - Prostate cancer detection

KW - Three-dimensional sonoelastography

UR - https://www.scopus.com/pages/publications/48149083274

U2 - 10.1109/ULTSYM.2007.340

DO - 10.1109/ULTSYM.2007.340

M3 - Conference contribution

AN - SCOPUS:48149083274

SN - 1424413834

SN - 9781424413836

T3 - Proceedings - IEEE Ultrasonics Symposium

SP - 1353

EP - 1356

BT - 2007 IEEE Ultrasonics Symposium Proceedings, IUS

T2 - 2007 IEEE Ultrasonics Symposium, IUS

Y2 - 28 October 2007 through 31 October 2007

ER -

Prostate cancer detection based on three dimensional sonoelastography

Abstract

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UN SDGs

Keywords

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