TY - JOUR
T1 - Detecting positive surgical margins
T2 - utilisation of light-reflectance spectroscopy on ex vivo prostate specimens
AU - Lay, Aaron H.
AU - Wang, Xinlong
AU - Morgan, Monica S.C.
AU - Kapur, Payal
AU - Liu, Hanli
AU - Roehrborn, Claus G.
AU - Cadeddu, Jeffrey A.
N1 - Publisher Copyright:
© 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Objective: To assess the efficacy of light-reflectance spectroscopy (LRS) to detect positive surgical margins (PSMs) on ex vivo radical prostatectomy (RP) specimens. Materials and Methods: A prospective evaluation of ex vivo RP specimens using LRS was performed at a single institution from June 2013 to September 2014. LRS measurements were performed on selected sites on the prostate capsule, marked with ink, and correlated with pathological analysis. Significant features on LRS curves differentiating malignant tissue from benign tissue were determined using a forward sequential selection algorithm. A logistic regression model was built and randomised cross-validation was performed. The sensitivity, specificity, accuracy, negative predictive value (NPV), positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC) for LRS predicting PSM were calculated. Results: In all, 50 RP specimens were evaluated using LRS. The LRS sensitivity for Gleason score ≥7 PSMs was 91.3%, specificity 92.8%, accuracy 92.5%, PPV 73.2%, NPV 99.4%, and the AUC was 0.960. The LRS sensitivity for Gleason score ≥6 PSMs was 65.5%, specificity 88.1%, accuracy 83.3%, PPV 66.2%, NPV 90.7%, and the AUC was 0.858. Conclusions: LRS can reliably detect PSMs for Gleason score ≥7 prostate cancer in ex vivo RP specimens.
AB - Objective: To assess the efficacy of light-reflectance spectroscopy (LRS) to detect positive surgical margins (PSMs) on ex vivo radical prostatectomy (RP) specimens. Materials and Methods: A prospective evaluation of ex vivo RP specimens using LRS was performed at a single institution from June 2013 to September 2014. LRS measurements were performed on selected sites on the prostate capsule, marked with ink, and correlated with pathological analysis. Significant features on LRS curves differentiating malignant tissue from benign tissue were determined using a forward sequential selection algorithm. A logistic regression model was built and randomised cross-validation was performed. The sensitivity, specificity, accuracy, negative predictive value (NPV), positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC) for LRS predicting PSM were calculated. Results: In all, 50 RP specimens were evaluated using LRS. The LRS sensitivity for Gleason score ≥7 PSMs was 91.3%, specificity 92.8%, accuracy 92.5%, PPV 73.2%, NPV 99.4%, and the AUC was 0.960. The LRS sensitivity for Gleason score ≥6 PSMs was 65.5%, specificity 88.1%, accuracy 83.3%, PPV 66.2%, NPV 90.7%, and the AUC was 0.858. Conclusions: LRS can reliably detect PSMs for Gleason score ≥7 prostate cancer in ex vivo RP specimens.
KW - positive surgical margins
KW - prostate cancer
KW - prostatectomy
KW - spectroscopy
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U2 - 10.1111/bju.13503
DO - 10.1111/bju.13503
M3 - Article
C2 - 27105389
AN - SCOPUS:84970991563
SN - 1464-4096
VL - 118
SP - 885
EP - 889
JO - BJU International
JF - BJU International
IS - 6
ER -