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Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11

Reza, Mariana (author)
Lund University,Lunds universitet,Klinisk fysiologi och nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,Clinical Physiology and Nuclear Medicine, Malmö,Lund University Research Groups
Wirth, Manfred (author)
University Clinic Carl Gustav Carus at the TU Dresden
Tammela, Teuvo (author)
University of Tampere,Tampere University Hospital
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Cicalese, Virgilio (author)
San Giuseppe Moscati Hospital
Veiga, Francisco Gomez (author)
University Hospital of Salamanca
Mulders, Peter (author)
Radboud University Medical Center
Miller, Kurt (author)
Charité - University Medicine Berlin
Tubaro, Andrea (author)
Sapienza University of Rome
Debruyne, Frans (author)
Andros Clinic Arnhem
Patel, Anup (author)
Brunel University London
Caris, Christien (author)
European Association of Urology, Research Foundation
Witjes, Wim (author)
Thorsson, Ola (author)
Lund University,Lunds universitet,Klinisk fysiologi och nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,Clinical Physiology and Nuclear Medicine, Malmö,Lund University Research Groups
Wollmer, Per (author)
Lund University,Lunds universitet,Klinisk fysiologi och nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,Clinical Physiology and Nuclear Medicine, Malmö,Lund University Research Groups
Edenbrandt, Lars (author)
Lund University
Ohlsson, Mattias (author)
Lund University,Lunds universitet,Institutionen för astronomi och teoretisk fysik - Har omorganiserats,Naturvetenskapliga fakulteten,Department of Astronomy and Theoretical Physics - Has been reorganised,Faculty of Science
Trägårdh, Elin (author)
Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Nuclear medicine, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments
Bjartell, Anders (author)
Lund University,Lunds universitet,Urologisk cancerforskning, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Urological cancer, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Skåne University Hospital
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 (creator_code:org_t)
Elsevier BV, 2021
2021
English.
In: European Urology Oncology. - : Elsevier BV. - 2588-9311. ; 4:1, s. 49-55
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BACKGROUND: Owing to the large variation in treatment response among patients with high-risk prostate cancer, it would be of value to use objective tools to monitor the status of bone metastases during clinical trials. Automated Bone Scan Index (aBSI) based on artificial intelligence has been proposed as an imaging biomarker for the quantification of skeletal metastases from bone scintigraphy.OBJECTIVE: To investigate how an increase in aBSI during treatment may predict clinical outcome in a randomised controlled clinical trial including patients with high-risk prostate cancer.DESIGN, SETTING, AND PARTICIPANTS: We retrospectively selected all patients from the Zometa European Study (ZEUS)/SPCG11 study with image data of sufficient quality to allow for aBSI assessment at baseline and at 48-mo follow-up. Data on aBSI were obtained using EXINIboneBSI software, blinded for clinical data and randomisation of zoledronic acid treatment. Data on age, overall survival (OS), and prostate-specific antigen (PSA) at baseline and upon follow-up were available from the study database.OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Association between clinical parameters and aBSI increase during treatment was evaluated using Cox proportional-hazards regression models, Kaplan-Meier estimates, and log-rank test. Discrimination between prognostic variables was assessed using the concordance index (C-index).RESULTS AND LIMITATIONS: In this cohort, 176 patients with bone metastases and a change in aBSI from baseline to follow-up of ≤0.3 had a significantly longer median survival time than patients with an aBSI change of >0.3 (p<0.0001). The increase in aBSI was significantly associated with OS (p<0.01 and C-index=0.65), while age and PSA change were not.CONCLUSIONS: The aBSI used as an objective imaging biomarker predicted outcome in prostate cancer patients in the ZEUS/SPCG11 study. An analysis of the change in aBSI from baseline to 48-mo follow-up represents a valuable tool for prognostication and monitoring of prostate cancer patients with bone metastases.PATIENT SUMMARY: The increase in the burden of skeletal metastases, as measured by the automated Bone Scan Index (aBSI), during treatment was associated with overall survival in patients from the Zometa European Study/SPCG11 study. The aBSI may be a useful tool also in monitoring prostate cancer patients with newly developed bone metastases.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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