Evaluation of bone scan index change over time on automated calculation in bone scintigraphy

Shintawati, Rini; Achmad, Arifudin; Higuchi, Tetsuya; Shimada, Hironori; Hirasawa, Hiromi; Arisaka, Yukiko; Takahashi, Atsushi; Nakajima, Takahito; Tsushima, Yoshito

doi:10.1007/s12149-015-1021-3

Cited by 19 publications

(15 citation statements)

References 18 publications

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“…Most single-institution studies (n = 9/25, 36%) originated from the United States; moreover, most of the multi-institutional studies included an American center (n = 6/9, 67%) [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. Five studies originated from Germany [ 23 , 24 , 25 , 26 , 27 ], four from Sweden [ 28 , 29 , 30 , 31 ], and six from Japan [ 32 , 33 , 34 , 35 , 36 , 37 ]. Information about patient number, acquisition technique, type of employed isotope (when applicable) and method of computational analysis were obtainable from all studies.…”

Section: Resultsmentioning

confidence: 99%

“…In the work from Shintawati and co-workers, BSI was evaluated on bone scan acquired at different time points after injection [ 34 ]. The index increased significantly from 2 h p.i.…”

Section: Resultsmentioning

confidence: 99%

“…In general, the advantages linked with this method are the easiness of use, the prompt availability of an easy to interpret score, the wide diffusion of bone scintigraphy as an imaging method, and its reproducibility [ 34 ]. The disadvantages of such an approach lay in the bidimensional nature of the bone scan and in the lack of specificity of the method.…”

Section: Resultsmentioning

confidence: 99%

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Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives

et al. 2018

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Metastasized castration-resistant prostate cancer (mCRPC), is the most advanced form of prostate neoplasia, where massive spread to the skeletal tissue is frequent. Patients with this condition are benefiting from an increasing number of treatment options. However, assessing tumor response in patients with multiple localizations might be challenging. For this reason, many computational approaches have been developed in the last decades to quantify the skeletal tumor burden and treatment response. In this review, we analyzed the progressive development and diffusion of such approaches. A computerized literature search of the PubMed/Medline was conducted, including articles between January 2008 and March 2018. The search was expanded by manually reviewing the reference list of the chosen articles. Thirty-five studies were identified. The number of eligible studies greatly increased over time. Studies could be categorized in the following categories: automated analysis of 2D scans, SUV-based thresholding, hybrid CT- and SUV-based thresholding, and MRI-based thresholding. All methods are discussed in detail. Automated analysis of bone tumor burden in mCRPC is a growing field of research; when choosing the appropriate method of analysis, it is important to consider the possible advantages as well as the limitations thoroughly.

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Section: Resultsmentioning

confidence: 99%

“…In the work from Shintawati and co-workers, BSI was evaluated on bone scan acquired at different time points after injection [ 34 ]. The index increased significantly from 2 h p.i.…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives

et al. 2018

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“…BSI values obtained at 2, 4, and 6 h after injection with 99m Tcmethylene diphosphonate were significantly different from each other. Therefore, the study recommended that time interval should be near constant in a clinical follow-up study (8). The present study is part of the continual effort to identify the procedural factors in image acquisition that significantly influence the BSI quantification of bone and therefore need standardization in prospective multiinstitutional clinical studies.…”

Section: Discussionmentioning

confidence: 99%

“…The impact of variability in these preanalytical factors on the quantitative assessment of bone scan via automated BSI is largely unknown. A recent Japanese study found that the BSI assessment of bone scan was dependent on the time between the tracer administration and scanning and recommended that the time interval should be near constant in a clinical follow-up study (8). Qualification of BSI as an imaging biomarker hinges on the identification and subsequent standardization of such procedural factors that significantly affect the performance of the automated BSI assessment.…”

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confidence: 99%

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

et al. 2016

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The effect of the procedural variability in image acquisition on the quantitative assessment of bone scan is unknown. Here, we have developed and performed preanalytical studies to assess the impact of the variability in scanning speed and in vendor-specific γ-camera on reproducibility and accuracy of the automated bone scan index (BSI). Methods: Two separate preanalytical studies were performed: a patient study and a simulation study. In the patient study, to evaluate the effect on BSI reproducibility, repeated bone scans were prospectively obtained from metastatic prostate cancer patients enrolled in 3 groups (Grp). In Grp1, the repeated scan speed and the γ-camera vendor were the same as that of the original scan. In Grp2, the repeated scan was twice the speed of the original scan. In Grp3, the repeated scan used a different γ-camera vendor than that used in the original scan. In the simulation study, to evaluate the effect on BSI accuracy, bone scans of a virtual phantom with predefined skeletal tumor burden (phantom-BSI) were simulated against the range of image counts (0.2, 0.5, 1.0, and 1.5 million) and separately against the resolution settings of the γ-cameras. The automated BSI was measured with a computer-automated platform. Reproducibility was measured as the absolute difference between the repeated BSI values, and accuracy was measured as the absolute difference between the observed BSI and the phantom-BSI values. Descriptive statistics were used to compare the generated data. Results: In the patient study, 75 patients, 25 in each group, were enrolled. The reproducibility of Grp2 (mean ± SD, 0.35 ± 0.59) was observed to be significantly lower than that of Grp1 (mean ± SD, 0.10 ± 0.13; P , 0.0001) and that of Grp3 (mean ± SD, 0.09 ± 0.10; P , 0.0001). However, no significant difference was observed between the reproducibility of Grp3 and Grp1 (P 5 0.388). In the simulation study, the accuracy at 0.5 million counts (mean ± SD, 0.57 ± 0.38) and at 0.2 million counts (mean ± SD, 4.67 ± 0.85) was significantly lower than that observed at 1.5 million counts (mean ± SD, 0.20 ± 0.26; P , 0.0001). No significant difference was observed in the accuracy data of the simulation study with vendor-specific γ-cameras (P 5 0.266). Conclusion: In this study, we observed that the automated BSI accuracy and reproducibility were dependent on scanning speed but not on the vendor-specific γ-cameras. Prospective BSI studies should standardize scanning speed of bone scans to obtain image counts at or above 1.5 million. Mor e than 80% of metastatic prostate cancer patients have skeletal metastasis (1). In clinical routine, bone scan is the most common imaging modality to monitor bone metastasis. In therapeutic clinical trials, bone scan is the standard imaging modality to assess eligibility and progression for patients with metastatic prostate cancer. However, the clinical utility of bone scan is limited due to its subjective assessment, which is susceptible to the interobserver variability, and in its inability to assess re...

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Diagnostic Imaging Techniques in Oral Diseases

Satpathy

Ranjan

Priyadarsini

et al. 2019

Medical Imaging Methods

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Evaluation of bone scan index change over time on automated calculation in bone scintigraphy

Cited by 19 publications

References 18 publications

Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives

Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives

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

Diagnostic Imaging Techniques in Oral Diseases

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