2008
DOI: 10.3233/cbm-2008-44-506
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Sonohistology – Ultrasonic tissue characterization for prostate cancer diagnostics

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Cited by 8 publications
(7 citation statements)
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“…Sensitivities for the detection of prostate cancer range between 74% and 90% in small studies [14–17]. Other imaging techniques under development in prostate cancer are histoscanning, a novel experimental US‐based technology that uses computer‐aided analysis to quantify tissue disorganisation induced by malignant processes [18], and sonohistology, which is based on analysis of the spectral content of radiofrequency ultrasonic echo data combined with evaluations of textural, contextual, morphological and clinical features in a multiparameter approach [19].…”
Section: Resultsmentioning
confidence: 99%
“…Sensitivities for the detection of prostate cancer range between 74% and 90% in small studies [14–17]. Other imaging techniques under development in prostate cancer are histoscanning, a novel experimental US‐based technology that uses computer‐aided analysis to quantify tissue disorganisation induced by malignant processes [18], and sonohistology, which is based on analysis of the spectral content of radiofrequency ultrasonic echo data combined with evaluations of textural, contextual, morphological and clinical features in a multiparameter approach [19].…”
Section: Resultsmentioning
confidence: 99%
“…Combined features of extraction from spectrum ana lysis of radiofrequency signals and image-based texture features have been reported to provide more effective tissue classification [61,62]. Based on ana lysis of the spectral content of radiofrequency ultrasonic echo data in combination with evaluation of textural, contextual, morphological and clinical features in a multiparameter approach, Scheipers et al evaluated ultrasound data originating from 100 patients using histological specimens obtained after prostatectomy as the gold standard, demonstrating AUCs of 0.86 ± 0.01 for hypoechoic and hyperechoic tumors and of 0.84 ± 0.02 for isoechoic tumors, respectively [63].…”
Section: Computer-aided Diagnosis Of Trusmentioning
confidence: 99%
“…High accuracies have been demonstrated in some studies, but the full potential has not been elucidated yet [20]. Computerized methods for identifying cancerous tissue in images obtained by ultrasound and MRI are being investigated intensively [11,20,123,[157][158][159][160][161]. For example, Mohamed et al [57] reached an accuracy of 93.75% for automatic detection of PCa in greyscale ultrasound images.…”
Section: Computer-aided Detection and Diagnosismentioning
confidence: 99%