Multiparametric Ultrasound for Targeting Prostate Cancer: Combining ARFI, SWEI, QUS and B-Mode.
Multiparametric Ultrasound for Targeting Prostate Cancer: Combining ARFI, SWEI, QUS and B-Mode.
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DOI:
10.1016/j.ultrasmedbio.2020.08.022
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发表时间:
2020-12
影响因子:
2.9
通讯作者:
Nightingale KR
中科院分区:
文献类型:
--
作者:
Morris DC;Chan DY;Lye TH;Chen H;Palmeri ML;Polascik TJ;Foo WC;Huang J;Mamou J;Nightingale KR
Diagnosing prostate cancer (PCa) through standard transrectal ultrasound (TRUS) guided biopsy is challenging due to the sensitivity and specificity limitations of B-mode imaging. We used a linear support vector machine (SVM) to combine standard TRUS imaging data with acoustic radiation force impulse (ARFI) imaging data, shear wave elasticity imaging (SWEI) data and quantitative ultrasound (QUS) midband fit (MF) data to enhance lesion contrast into a synthesized multiparametric ultrasound (mpUS) volume. This SVM was trained and validated using a subset of 20 patients and tested on a second subset of 10 patients. mpUS led to a statistically significant improvement in contrast, contrast-to-noise ratio (CNR), and generalized CNR (gCNR) when compared to standard TRUS B-mode and SWEI; contrast and CNR when compared to MF; and CNR when compared with ARFI. ARFI, MF, and SWEI also outperformed TRUS B-mode in contrast, with MF outperforming B-mode in CNR and gCNR as well. ARFI, while only yielding statistically significant differences in contrast compared to TRUS B- mode, captured critical qualitative features for lesion identification. MpUS enhanced lesion visibility metrics and is a promising technique for targeted TRUS-guided prostate biopsy in the future.
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影响因子:
3.4
作者:
Postema A;Mischi M;de la Rosette J;Wijkstra H
通讯作者:
Wijkstra H
影响因子:
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Nightingale KR
DOI:
10.1109/58.393111
发表时间:
1995-07-01
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