Identifying Clinically Significant Prostate Cancers using 3-D In Vivo Acoustic Radiation Force Impulse Imaging with Whole-Mount Histology Validation.

Autor:	Palmeri ML; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA. Electronic address: mark.palmeri@duke.edu., Glass TJ; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA., Miller ZA; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA., Rosenzweig SJ; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA., Buck A; Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA., Polascik TJ; Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA., Gupta RT; Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA., Brown AF; School of Medicine, Duke University Medical Center, Durham, North Carolina, USA., Madden J; Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA., Nightingale KR; Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Jazyk:	angličtina
Zdroj:	Ultrasound in medicine & biology [Ultrasound Med Biol] 2016 Jun; Vol. 42 (6), pp. 1251-62. Date of Electronic Publication: 2016 Mar 03.
DOI:	10.1016/j.ultrasmedbio.2016.01.004
Abstrakt:	Overly aggressive prostate cancer (PCa) treatment adversely affects patients and places an unnecessary burden on our health care system. The inability to identify and grade clinically significant PCa lesions is a factor contributing to excessively aggressive PCa treatment, such as radical prostatectomy, instead of more focal, prostate-sparing procedures such as cryotherapy and high-dose radiation therapy. We have performed 3-D in vivo B-mode and acoustic radiation force impulse (ARFI) imaging using a mechanically rotated, side-fire endorectal imaging array to identify regions suspicious for PCa in 29 patients being treated with radical prostatectomies for biopsy-confirmed PCa. Whole-mount histopathology analyses were performed to identify regions of clinically significant/insignificant PCa lesions, atrophy and benign prostatic hyperplasia. Regions of suspicion for PCa were reader-identified in ARFI images based on boundary delineation, contrast, texture and location. These regions of suspicion were compared with histopathology identified lesions using a nearest-neighbor regional localization approach. Of all clinically significant lesions identified on histopathology, 71.4% were also identified using ARFI imaging, including 79.3% of posterior and 33.3% of anterior lesions. Among the ARFI-identified lesions, 79.3% corresponded to clinically significant PCa lesions, with these lesions having higher indices of suspicion than clinically insignificant PCa. ARFI imaging had greater sensitivity for posterior versus anterior lesions because of greater displacement signal-to-noise ratio and finer spatial sampling. Atrophy and benign prostatic hyperplasia can cause appreciable prostate anatomy distortion and heterogeneity that confounds ARFI PCa lesion identification; however, in general, ARFI regions of suspicion did not coincide with these benign pathologies. (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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