Literature DB >> 21390336

Real-time sonoelastography in the diagnosis of prostate cancer.

Călin R Giurgiu1, Cristian Manea, Nicolae Crişan, Cătălina Bungărdean, Ioan Coman, Sorin M Dudea.   

Abstract

AIMS: Sonoelastography (SEG) is a noninvasive ultrasound (US) method able to differentiate tissues according to their stiffness. Our objective was to establish whether transrectal (TR) SEG may improve prostate cancer detection, alone or associated with other US methods. PATIENTS AND METHODS: We analyzed the data of 65 patients, mean age 68 years (49 - 81 years), examined March 2009-September 2010. The patients had at least one of the following malignancy suspicion criteria: PSA > 4 ng /ml (minimum 2 determinations), nodule(s) at digital rectal examination (DRE +) or previous gray scale TRUS positive appearance. All patients underwent TRUS, Doppler-US and SEG in the same session, followed by systematic prostate biopsies (6-12 cores). Histopathology and imaging findings were correlated.
RESULTS: Twenty-eight out of 65 patients (43%) were diagnosed with prostate cancer. Overall, SEG had a sensitivity of 67.85%, specificity 62.16%, positive predictive value 57.57% and negative predictive value 71.85%. However, SEG diagnostic reliability appeared to be higher for subgroups of patients having PSA >10 ng / ml, lower number of fragments collected by PBP (6 vs. 10-12 cores) and age > 70 years.
CONCLUSION: SEG appears to be useful in the diagnosis of prostate cancer as it may increase the diagnosis accuracy in specific target groups.

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Year:  2011        PMID: 21390336

Source DB:  PubMed          Journal:  Med Ultrason        ISSN: 1844-4172            Impact factor:   1.611


  7 in total

Review 1.  Image guidance in the focal treatment of prostate cancer.

Authors:  Anthony N Hoang; Dmitry Volkin; Nitin K Yerram; Srinivas Vourganti; Jeffrey Nix; W Marston Linehan; Bradford Wood; Peter A Pinto
Journal:  Curr Opin Urol       Date:  2012-07       Impact factor: 2.309

Review 2.  Real-time elastography for the detection of prostate cancer.

Authors:  Georg Salomon; Jonas Schiffmann
Journal:  Curr Urol Rep       Date:  2014-03       Impact factor: 3.092

3.  Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements.

Authors:  Ciprian Cosmin Secasan; Darian Onchis; Razvan Bardan; Alin Cumpanas; Dorin Novacescu; Corina Botoca; Alis Dema; Ioan Sporea
Journal:  Curr Oncol       Date:  2022-06-10       Impact factor: 3.109

4.  Comparison of meta-analyses among elastosonography (ES) and positron emission tomography/computed tomography (PET/CT) imaging techniques in the application of prostate cancer diagnosis.

Authors:  Qiaohong Ouyang; Zhongxiang Duan; Jixiao Lei; Guangli Jiao
Journal:  Tumour Biol       Date:  2015-09-29

5.  Transrectal real-time tissue elastography targeted biopsy coupled with peak strain index improves the detection of clinically important prostate cancer.

Authors:  Qi Ma; Dong-Rong Yang; Bo-Xin Xue; Cheng Wang; Han-Bin Chen; Yun Dong; Cai-Shan Wang; Yu-Xi Shan
Journal:  Oncol Lett       Date:  2017-05-05       Impact factor: 2.967

Review 6.  Ultrasound elastography.

Authors:  Xin-Wu Cui; Kang-Ning Li; Ai-Jiao Yi; Bin Wang; Qi Wei; Ge-Ge Wu; Christoph F Dietrich
Journal:  Endosc Ultrasound       Date:  2022-05-02       Impact factor: 5.275

Review 7.  Endoscopic ultrasound elastography.

Authors:  Julio Iglesias-Garcia; Björn Lindkvist; Jose Lariño-Noia; J Enrique Domínguez-Muñoz
Journal:  Endosc Ultrasound       Date:  2012-04       Impact factor: 5.628

  7 in total

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