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Cognitive mpMRI/TRUS biopsy of the prostate with using strain elastography

https://doi.org/10.24835/1607-0763-2019-2-100-108

Abstract

Purpose. To evaluate the effectiveness of prostate cancer detection with method of cognitive mpMRI/TRUS fusion biopsy using strain sonoelastography.

Materials and methods. Cognitive transrectal fusion biopsy of prostate was performed in 32 patients. According to the data of a preliminary conducted mpMRI, 33 foci suspicious of prostate cancer were included (PIRADSv2 = 3–5). Before the biopsy, all patients underwent ultrasound planning using compression sonoelastography.

Results. The overall sensitivity was 76% for the targeted biopsy, and 49% for systematic biopsy. The number of biopsy specimens with a clinically significant Gleason grade in the targeted biopsy group was 85% of all columns with cancer specimens, in the systematic biopsy group this number was 68%. On average, the Gleason grade after targeted biopsy was 7.5 ± 0.9, and it was 7.2 ± 0.9 in the columns after systematic biopsy. On average, the percentage of tumor in the columns after targeted biopsy was 72% ± 29% and it was 55% ± 35% in the columns after systematic biopsy. The false positive for mpMRI was 15%. The overall sensitivity for the strain sonoelastography was 69% in this study, clinically significant cancer was detected in 71% of all columns with cancer specimens. False positive for elastography was observed in 18% of cases.

Conclusion. Comparing with systematic biopsy, cognitive mpMRI / TRUS fusion biopsy can improve the detection rate of clinically significant prostate cancer and reduce the number of detected cases of clinically insignificant cancer. In cases of a total or subtotal tumor lesion in the peripheral zone detected on mpMRI, it is possible to take fewer columns for morphological verification of the tumor. The use of compression sonoelastography as an additional parameter of navigation in cognitive mpMRI/TRUS fusion biopsy can be considered as a promising way to increase the detection rate of clinically significant prostate cancer.

About the Authors

A. V. Vasilev
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation

Aleksandr V. Vasilev – radiologist at the Department of Radiology 

197758 Russian Federation, St. Petersburg, Pesochny, Leningradskaya st., 68 

Phone: +7-981-845-40-50



A. V. Mishchenko
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation

Andrei V. Mishchenko – doct. of med. sci., Head of the Department of Diagnostic and Interventional radiology

Professor of the Scientific Clinical and Educational Center "Radiation Diagnostics and Nuclear Medicine



R. A. Kadyrleev
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation
Roman A. Kadyrleev – radiologist at the Department of Radiology


A. S. Petrova
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation
Anna S. Petrova – radiologist at the Department of Radiology


A. K. Nosov
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation
Aleksandr K. Nosov – cand. of med. sci., Head of the surgical oncological and urological department


S. A. Reva
First Pavlov State Medical University of St. Petersburg
Russian Federation
Sergej A. Reva – cand. of med. sci., Head of the surgical oncological and urological department


V. V. Danilov
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation
Vsevolod V. Danilov – resident at the Department of Radiology


M. V. Berkut
National Medical Research Center of Oncology named after N. N. Petrov
Russian Federation
Marija V. Berkut – oncologist of the surgical oncological and urological department


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Review

For citations:


Vasilev A.V., Mishchenko A.V., Kadyrleev R.A., Petrova A.S., Nosov A.K., Reva S.A., Danilov V.V., Berkut M.V. Cognitive mpMRI/TRUS biopsy of the prostate with using strain elastography. Medical Visualization. 2019;(2):100-108. (In Russ.) https://doi.org/10.24835/1607-0763-2019-2-100-108

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)