Bone Scan Index predicts outcome in patients with metastatic hormone‐sensitive prostate cancer
Objective To evaluate the Bone Scan Index (BSI) for prediction of castration resistance and prostate cancer‐specific survival (PCSS). In this retrospective study, we used novel computer‐assisted software for automated detection/quantification of bone metastases by BSI. Patients with prostate cancer...
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Veröffentlicht in: | BJU international 2016-05, Vol.117 (5), p.748-753 |
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Sprache: | eng |
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Zusammenfassung: | Objective
To evaluate the Bone Scan Index (BSI) for prediction of castration resistance and prostate cancer‐specific survival (PCSS). In this retrospective study, we used novel computer‐assisted software for automated detection/quantification of bone metastases by BSI. Patients with prostate cancer are M‐staged by whole‐body bone scintigraphy (WBS) and categorised as M0 or M1. Within the M1 group, there is a wide range of clinical outcomes. The BSI was introduced a decade ago providing quantification of bone metastases by estimating the percentage of bone involvement. Being too time consuming, it never gained widespread clinical use.
Patients and Methods
In all, 88 patients with prostate cancer awaiting initiation of androgen‐deprivation therapy due to metastases were included. WBS was performed using a two‐headed γ‐camera. BSI was obtained using the automated platform EXINI bone (EXINI Diagnostics AB, Lund, Sweden). In Cox proportional hazard models, time to castration‐resistant prostate cancer (CRPC) and PCSS were modelled as the dependent variables, whereas prostate‐specific antigen (PSA) level, Gleason score and BSI were used as explanatory factors. For Kaplan–Meier estimates, BSI groups were dichotomously split into: BSI |
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ISSN: | 1464-4096 1464-410X |
DOI: | 10.1111/bju.13160 |