Literature DB >> 9676853

A new parameter for measuring metastatic bone involvement by prostate cancer: the Bone Scan Index.

M Imbriaco1, S M Larson, H W Yeung, O R Mawlawi, Y Erdi, E S Venkatraman, H I Scher.   

Abstract

In this report, we describe a method for quantitative bone scan interpretation (the Bone Scan Index or BSI) in advanced prostate cancer. The BSI estimates the fraction of the skeleton that is involved by tumor, as well as the regional distribution of the metastases in the bones. The purpose of this report is to describe the development and validation of this method in terms of reproducibility and the application of BSI for determining extent of disease and monitoring disease progression. We analyzed 263 bone scans from 90 patients being studied under four protocols at Memorial Sloan-Kettering Cancer Center for progressive, androgen-independent prostate cancer (AIPC), who had bone scans as a part of their work-up. We determined: (a) the intraobserver and interobserver variability of the BSI; (b) the comparison between a change in BSI and prostate-specific antigen (PSA); (c) the regional distribution of bony metastases in early stage D prostate cancer (<3% skeletal involvement); and (d) the rate of growth of bony metastases from prostate cancer. A cube root transformation of the percentage of involvement of the entire skeleton was used to stabilize the variance over the entire span of values (0-60% tumor involvement). The range of interobserver variability between readers was 0.2-0.5 times the cube root of the BSI (69 scans, 18 patients). Intraobserver variability was minimal when the same reader read the same scans after a 2-year interval, showing a correlation coefficient of 0.97 (reader 1) and 0.99 (reader 2), P < 0.001. There was a parallel rise in the BSI and the PSA in 24 patients (105 scans) treated for AIPC with hydrocortisone followed by suramin at PSA relapse (Pearson's moment correlation, 0.71). In a group of 27 patients with limited bone involvement by AIPC (i.e., <3% BSI), the distribution of early metastases was not random within the skeleton but was distributed in the central skeleton in a manner that matched the distribution of the normal adult bone marrow. Also, in a group of 21 patients (62 scans), the change in BSI as a function of time after diagnosis was explored graphically. The progression of bone scan changes in AIPC, from early involvement (<3%) to late involvement, was fitted to a Gompertzian equation. It showed a rapid exponential growth phase, with an estimated tumor doubling time of 43 days when the BSI was 3.3%. The change in BSI rapidly approached a more gradual slope as the percentage of skeletal involvement increased. The BSI provides a reproducible new parameter for quantitative assessment of bone involvement by AIPC. These results suggest that the BSI will be useful for stratifying patients entering treatment protocols for extent of tumor involvement of bone. Although further study is necessary, serial bone scan BSI appears capable of quantifying both the progression of bony involvement by tumor as well as the response to treatment.

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Year:  1998        PMID: 9676853

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  73 in total

1.  Prostate cancer: Bone Scan Index made easy, at last.

Authors:  Bertrand Tombal
Journal:  Nat Rev Urol       Date:  2012-04-24       Impact factor: 14.432

2.  A novel automated platform for quantifying the extent of skeletal tumour involvement in prostate cancer patients using the Bone Scan Index.

Authors:  David Ulmert; Reza Kaboteh; Josef J Fox; Caroline Savage; Michael J Evans; Hans Lilja; Per-Anders Abrahamsson; Thomas Björk; Axel Gerdtsson; Anders Bjartell; Peter Gjertsson; Peter Höglund; Milan Lomsky; Mattias Ohlsson; Jens Richter; May Sadik; Michael J Morris; Howard I Scher; Karl Sjöstrand; Alice Yu; Madis Suurküla; Lars Edenbrandt; Steven M Larson
Journal:  Eur Urol       Date:  2012-01-27       Impact factor: 20.096

Review 3.  Imaging-based tumor treatment response evaluation: review of conventional, new, and emerging concepts.

Authors:  Hee Kang; Ho Yun Lee; Kyung Soo Lee; Jae-Hun Kim
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

4.  Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer.

Authors:  Aseem Anand; Michael J Morris; Reza Kaboteh; Lena Båth; May Sadik; Peter Gjertsson; Milan Lomsky; Lars Edenbrandt; David Minarik; Anders Bjartell
Journal:  J Nucl Med       Date:  2015-08-27       Impact factor: 10.057

5.  Impact of Anatomic Location of Bone Metastases on Prognosis in Metastatic Castration-Resistant Prostate Cancer.

Authors:  Alison R Roth; Stephanie A Harmon; Timothy G Perk; Jens Eickhoff; Peter L Choyke; Karen A Kurdziel; William L Dahut; Andrea B Apolo; Michael J Morris; Scott B Perlman; Glenn Liu; Robert Jeraj
Journal:  Clin Genitourin Cancer       Date:  2019-05-27       Impact factor: 2.872

6.  Non-invasive microCT imaging characterization and in vivo targeting of BB2 receptor expression of a PC-3 bone metastasis model.

Authors:  Christopher T Winkelmann; Said Daibes Figueroa; Gary L Sieckman; Tammy L Rold; Timothy J Hoffman
Journal:  Mol Imaging Biol       Date:  2012-12       Impact factor: 3.488

Review 7.  Novel tracers and their development for the imaging of metastatic prostate cancer.

Authors:  Andrea B Apolo; Neeta Pandit-Taskar; Michael J Morris
Journal:  J Nucl Med       Date:  2008-11-07       Impact factor: 10.057

Review 8.  Validation and clinical utility of prostate cancer biomarkers.

Authors:  Howard I Scher; Michael J Morris; Steven Larson; Glenn Heller
Journal:  Nat Rev Clin Oncol       Date:  2013-03-05       Impact factor: 66.675

Review 9.  Imaging evaluation of prostate cancer with 18F-fluorodeoxyglucose PET/CT: utility and limitations.

Authors:  Hossein Jadvar
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-02-22       Impact factor: 9.236

Review 10.  Diffusion-weighted imaging with apparent diffusion coefficient mapping and spectroscopy in prostate cancer.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Kyle Petrowski; Katarzyna J Macura
Journal:  Top Magn Reson Imaging       Date:  2008-12
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