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Title: Color Doppler quantitative measures to predict outcome of biopsies in prostate cancer

Abstract

Purpose: The aim was to correlate the color Doppler flow activity pre- and postradiotherapy, using transrectal color Doppler ultrasonography (CDUS) and the 2 year positive biopsy rate after radiotherapy in patients with prostate cancer. Methods and materials: Analysis was carried out in 69 out of 160 patients who had undergone treatment with 3D-conformal radiotherapy (3D-CRT) to prostate and seminal vesicles. Patients were randomized to receive 80 Gy in 40 fractions in 8 weeks (arm A) and 62 Gy in 20 fractions in 5 weeks, 4 fractions per week (arm B). Color Doppler flow activity (CDFA) was evaluated calculating the vascularization index (VI), defined as the ratio between the colored and total pixels in the whole and peripheral prostate, delineated by a radiation oncologist on CDUS images, using EcoVasc a home-made software. The difference between the 2 year post- and pre-3D-CRT maximum VI (VI{sub max}), named {Delta}VI{sub max}, was calculated in the whole and peripheral prostate for each patient. Then, {Delta}VI{sub max} and the detected 2 year biopsy outcome were analyzed using the receiver operating characteristics (ROC) technique. Results: The VI{sub max} increased or decreased in patients with positive or negative biopsies, respectively, compared to the value before RT in bothmore » arms. The area under the ROC curve for {Delta}VI{sub max} in the whole and peripheral prostate is equal to 0.790 and 0.884, respectively. Conclusion: The {Delta}VI{sub max} index, comparing CDFA at 2 years compared to that before RT, allows the 2 year postradiotherapy positive biopsy rate to be predicted.« less

Authors:
; ; ; ; ; ; ; ; ; ; ;  [1]
  1. Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome 00144 (Italy)
Publication Date:
OSTI Identifier:
22095235
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 35; Journal Issue: 11; Other Information: (c) 2008 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; BIOPSY; E CODES; NEOPLASMS; PATIENTS; PROSTATE; RADIOTHERAPY; ULTRASONOGRAPHY

Citation Formats

Strigari, Lidia, Marsella, Annelisa, Canitano, Stefano, Gomellini, Sara, Arcangeli, Stefano, Genovese, Elisabetta, Saracino, Biancamaria, Petrongari, Maria Grazia, Sentinelli, Steno, Crecco, Marcello, Benassi, Marcello, Arcangeli, Giorgio, Radiology Department, Regina Elena National Cancer Institute, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Center, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Center, Rome 00144, Pathology Department, Regina Elena National Cancer Center, Rome 00144, Radiology Department, Regina Elena National Cancer Center, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome 00144, and Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144. Color Doppler quantitative measures to predict outcome of biopsies in prostate cancer. United States: N. p., 2008. Web. doi:10.1118/1.2990778.
Strigari, Lidia, Marsella, Annelisa, Canitano, Stefano, Gomellini, Sara, Arcangeli, Stefano, Genovese, Elisabetta, Saracino, Biancamaria, Petrongari, Maria Grazia, Sentinelli, Steno, Crecco, Marcello, Benassi, Marcello, Arcangeli, Giorgio, Radiology Department, Regina Elena National Cancer Institute, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Center, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Center, Rome 00144, Pathology Department, Regina Elena National Cancer Center, Rome 00144, Radiology Department, Regina Elena National Cancer Center, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome 00144, & Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144. Color Doppler quantitative measures to predict outcome of biopsies in prostate cancer. United States. https://doi.org/10.1118/1.2990778
Strigari, Lidia, Marsella, Annelisa, Canitano, Stefano, Gomellini, Sara, Arcangeli, Stefano, Genovese, Elisabetta, Saracino, Biancamaria, Petrongari, Maria Grazia, Sentinelli, Steno, Crecco, Marcello, Benassi, Marcello, Arcangeli, Giorgio, Radiology Department, Regina Elena National Cancer Institute, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Center, Rome 00144, Radiotherapy Department, Regina Elena National Cancer Center, Rome 00144, Pathology Department, Regina Elena National Cancer Center, Rome 00144, Radiology Department, Regina Elena National Cancer Center, Rome 00144, Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome 00144, and Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144. 2008. "Color Doppler quantitative measures to predict outcome of biopsies in prostate cancer". United States. https://doi.org/10.1118/1.2990778.
@article{osti_22095235,
title = {Color Doppler quantitative measures to predict outcome of biopsies in prostate cancer},
author = {Strigari, Lidia and Marsella, Annelisa and Canitano, Stefano and Gomellini, Sara and Arcangeli, Stefano and Genovese, Elisabetta and Saracino, Biancamaria and Petrongari, Maria Grazia and Sentinelli, Steno and Crecco, Marcello and Benassi, Marcello and Arcangeli, Giorgio and Radiology Department, Regina Elena National Cancer Institute, Rome 00144 and Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144 and Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Center, Rome 00144 and Radiotherapy Department, Regina Elena National Cancer Center, Rome 00144 and Pathology Department, Regina Elena National Cancer Center, Rome 00144 and Radiology Department, Regina Elena National Cancer Center, Rome 00144 and Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome 00144 and Radiotherapy Department, Regina Elena National Cancer Institute, Rome 00144},
abstractNote = {Purpose: The aim was to correlate the color Doppler flow activity pre- and postradiotherapy, using transrectal color Doppler ultrasonography (CDUS) and the 2 year positive biopsy rate after radiotherapy in patients with prostate cancer. Methods and materials: Analysis was carried out in 69 out of 160 patients who had undergone treatment with 3D-conformal radiotherapy (3D-CRT) to prostate and seminal vesicles. Patients were randomized to receive 80 Gy in 40 fractions in 8 weeks (arm A) and 62 Gy in 20 fractions in 5 weeks, 4 fractions per week (arm B). Color Doppler flow activity (CDFA) was evaluated calculating the vascularization index (VI), defined as the ratio between the colored and total pixels in the whole and peripheral prostate, delineated by a radiation oncologist on CDUS images, using EcoVasc a home-made software. The difference between the 2 year post- and pre-3D-CRT maximum VI (VI{sub max}), named {Delta}VI{sub max}, was calculated in the whole and peripheral prostate for each patient. Then, {Delta}VI{sub max} and the detected 2 year biopsy outcome were analyzed using the receiver operating characteristics (ROC) technique. Results: The VI{sub max} increased or decreased in patients with positive or negative biopsies, respectively, compared to the value before RT in both arms. The area under the ROC curve for {Delta}VI{sub max} in the whole and peripheral prostate is equal to 0.790 and 0.884, respectively. Conclusion: The {Delta}VI{sub max} index, comparing CDFA at 2 years compared to that before RT, allows the 2 year postradiotherapy positive biopsy rate to be predicted.},
doi = {10.1118/1.2990778},
url = {https://www.osti.gov/biblio/22095235}, journal = {Medical Physics},
issn = {0094-2405},
number = 11,
volume = 35,
place = {United States},
year = {Sat Nov 15 00:00:00 EST 2008},
month = {Sat Nov 15 00:00:00 EST 2008}
}