Literature DB >> 19223423

Improved classifications of planar whole-body bone scans using a computer-assisted diagnosis system: a multicenter, multiple-reader, multiple-case study.

May Sadik1, Madis Suurkula, Peter Höglund, Andreas Järund, Lars Edenbrandt.   

Abstract

UNLABELLED: The aim of this multicenter study was to investigate whether a computer-assisted diagnosis (CAD) system could improve performance and reduce interobserver variation in bone-scan interpretations of the presence or absence of bone metastases.
METHODS: The whole-body bone scans (anterior and posterior views) of 59 patients with breast or prostate cancer who had undergone scintigraphy for suspected bone metastatic disease were studied. The patients were selected to reflect the spectrum of pathology found in everyday clinical work. Thirty-five physicians working at 18 of the 30 nuclear medicine departments in Sweden agreed to participate. The physicians were asked to classify each case for the presence or absence of bone metastasis, without (baseline) and with the aid of the CAD system (1 y later), using a 4-point scale. The final clinical assessments, based on follow-up scans and other clinical data including the results of laboratory tests and available diagnostic images (such as MRI, CT, and radiographs from a mean follow-up period of 4.8 y), were used as the gold standard. Each physician's classification was pairwise compared with the classifications made by all the other physicians, resulting in 595 pairs of comparisons, both at baseline and after using the CAD system.
RESULTS: The physicians increased their sensitivity from 78% without to 88% with the aid of the CAD system (P < 0.001). The specificity did not change significantly with CAD. Percentage agreement and kappa-values between paired physicians on average increased from 64% to 70% and from 0.48 to 0.55, respectively, with the CAD system.
CONCLUSION: A CAD system improved physicians' sensitivity in detecting metastases and reduced interobserver variation in planar whole-body bone scans. The CAD system appears to have significant potential in assisting physicians in their clinical routine.

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Year:  2009        PMID: 19223423     DOI: 10.2967/jnumed.108.058883

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  23 in total

1.  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

Review 2.  Molecular imaging of prostate cancer.

Authors:  Josef J Fox; Heiko Schöder; Steven M Larson
Journal:  Curr Opin Urol       Date:  2012-07       Impact factor: 2.309

3.  Developing imaging strategies for castration resistant prostate cancer.

Authors:  Josef J Fox; Michael J Morris; Steven M Larson; Heiko Schöder; Howard I Scher
Journal:  Acta Oncol       Date:  2011-06       Impact factor: 4.089

4.  Bone scan index can be a useful biomarker of survival outcomes in patients with metastatic castration-resistant prostate cancer treated with radium-223.

Authors:  Miki Naito; Rinzo Ukai; Kunihiro Hashimoto
Journal:  Cancer Rep (Hoboken)       Date:  2019-06-30

5.  Association between bone scan index and activities of daily living in patients with advanced non-small cell lung cancer.

Authors:  Ikuno Ito; Kimiteru Ito; Shinichi Takahashi; Mitsuko Horibe; Rui Karita; Chika Nishizaka; Takako Nagai; Kohei Hamada; Hiroyuki Sato; Naoko Shindo
Journal:  Support Care Cancer       Date:  2017-01-20       Impact factor: 3.603

6.  A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition.

Authors:  Aseem Anand; Michael J Morris; Reza Kaboteh; Mariana Reza; Elin Trägårdh; Naofumi Matsunaga; Lars Edenbrandt; Anders Bjartell; Steven M Larson; David Minarik
Journal:  J Nucl Med       Date:  2016-07-21       Impact factor: 10.057

7.  The science and practice of bone health in oncology: managing bone loss and metastasis in patients with solid tumors.

Authors:  Allan Lipton; Robert Uzzo; Robert J Amato; Georgiana K Ellis; Behrooz Hakimian; G David Roodman; Matthew R Smith
Journal:  J Natl Compr Canc Netw       Date:  2009-10       Impact factor: 11.908

8.  Assessment of the bone scan index in a randomized placebo-controlled trial of tasquinimod in men with metastatic castration-resistant prostate cancer (mCRPC).

Authors:  Andrew J Armstrong; Reza Kaboteh; Michael A Carducci; Jan-Erik Damber; Walter M Stadler; Mats Hansen; Lars Edenbrandt; Göran Forsberg; Örjan Nordle; Roberto Pili; Michael J Morris
Journal:  Urol Oncol       Date:  2014-09-16       Impact factor: 3.498

Review 9.  Measuring the unmeasurable: automated bone scan index as a quantitative endpoint in prostate cancer clinical trials.

Authors:  Jose Mauricio Mota; Andrew J Armstrong; Steven M Larson; Josef J Fox; Michael J Morris
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-04-29       Impact factor: 5.554

10.  Current state of bone scintigraphy protocols and practice in Japan.

Authors:  Hajime Ichikawa; Kenta Miwa; Koichi Okuda; Takayuki Shibutani; Toyohiro Kato; Akio Nagaki; Hiroyuki Tsushima; Masahisa Onoguchi
Journal:  Asia Ocean J Nucl Med Biol       Date:  2020
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