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Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study
Metabolic bone volume (MBV), standardized uptake value (SUV), and total bone uptake (TBU) are new imaging biomarkers for quantitative bone single-photon emission computed tomography/computed tomography. The purpose of this study was to validate the quantitative accuracy and utility of MBV, SUV mean...
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Published in: | Radiological physics and technology 2020-09, Vol.13 (3), p.219-229 |
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creator | Motegi, Kazuki Matsutomo, Norikazu Yamamoto, Tomoaki Koizumi, Mitsuru |
description | Metabolic bone volume (MBV), standardized uptake value (SUV), and total bone uptake (TBU) are new imaging biomarkers for quantitative bone single-photon emission computed tomography/computed tomography. The purpose of this study was to validate the quantitative accuracy and utility of MBV, SUV
mean
, and TBU for the assessment of bone metastases in prostate cancer. We used a bone-specific phantom with four hot spheres (
φ
= 13, 17, 22, 28 mm) filled with different Tc-99 m activities to simulate uptake ratios of 3 and 7, corresponding to normal and metastatic values. We calculated the error ratio (%Error) by comparing MBV, SUV
mean
, and TBU with true values for various parameters, including bone lesion size, uptake ratio, and SUV cut-off level. Differences for MBV, SUV
mean
, TBU, and bone scan index (BSI) were calculated to verify their utility in assessing bone metastases. Receiver-operating characteristic curve (ROC) analysis was performed to calculate the area under the curve (AUC) for each biomarker. MBV, SUV
mean
, and TBU were affected by lesion size, uptake ratio, and SUV cut-off level; however, TBU demonstrated the most stable %Error. The TBU %Error was within 15% in spheres 17 mm or larger when the SUV cut-off level was 7, regardless of the uptake ratio. The ROC analyses revealed the AUCs of BSI (0.977) and TBU (0.968). Additionally, TBU was able to assess bone metastasis when BSI provided false-negative results, but TBU also provided false-positive results by degenerative changes. The synergy between TBU and BSI could potentially improve diagnostic accuracy. |
doi_str_mv | 10.1007/s12194-020-00571-6 |
format | article |
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mean
, and TBU for the assessment of bone metastases in prostate cancer. We used a bone-specific phantom with four hot spheres (
φ
= 13, 17, 22, 28 mm) filled with different Tc-99 m activities to simulate uptake ratios of 3 and 7, corresponding to normal and metastatic values. We calculated the error ratio (%Error) by comparing MBV, SUV
mean
, and TBU with true values for various parameters, including bone lesion size, uptake ratio, and SUV cut-off level. Differences for MBV, SUV
mean
, TBU, and bone scan index (BSI) were calculated to verify their utility in assessing bone metastases. Receiver-operating characteristic curve (ROC) analysis was performed to calculate the area under the curve (AUC) for each biomarker. MBV, SUV
mean
, and TBU were affected by lesion size, uptake ratio, and SUV cut-off level; however, TBU demonstrated the most stable %Error. The TBU %Error was within 15% in spheres 17 mm or larger when the SUV cut-off level was 7, regardless of the uptake ratio. The ROC analyses revealed the AUCs of BSI (0.977) and TBU (0.968). Additionally, TBU was able to assess bone metastasis when BSI provided false-negative results, but TBU also provided false-positive results by degenerative changes. The synergy between TBU and BSI could potentially improve diagnostic accuracy.</description><identifier>ISSN: 1865-0333</identifier><identifier>EISSN: 1865-0341</identifier><identifier>DOI: 10.1007/s12194-020-00571-6</identifier><language>eng</language><publisher>Singapore: Springer Singapore</publisher><subject>Biomarkers ; Computed tomography ; Computer simulation ; Diagnostic systems ; Emission analysis ; Errors ; Imaging ; Mathematical analysis ; Medical and Radiation Physics ; Medical imaging ; Medicine ; Medicine & Public Health ; Metastasis ; Nuclear Medicine ; Photon emission ; Photons ; Prostate cancer ; Radiology ; Radiotherapy ; Tomography</subject><ispartof>Radiological physics and technology, 2020-09, Vol.13 (3), p.219-229</ispartof><rights>Japanese Society of Radiological Technology and Japan Society of Medical Physics 2020</rights><rights>Japanese Society of Radiological Technology and Japan Society of Medical Physics 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-59918f85fd979d723eb7d9c54a0407041b56b0ae138b380e2d81f6835f8650b43</citedby><cites>FETCH-LOGICAL-c376t-59918f85fd979d723eb7d9c54a0407041b56b0ae138b380e2d81f6835f8650b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Motegi, Kazuki</creatorcontrib><creatorcontrib>Matsutomo, Norikazu</creatorcontrib><creatorcontrib>Yamamoto, Tomoaki</creatorcontrib><creatorcontrib>Koizumi, Mitsuru</creatorcontrib><title>Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study</title><title>Radiological physics and technology</title><addtitle>Radiol Phys Technol</addtitle><description>Metabolic bone volume (MBV), standardized uptake value (SUV), and total bone uptake (TBU) are new imaging biomarkers for quantitative bone single-photon emission computed tomography/computed tomography. The purpose of this study was to validate the quantitative accuracy and utility of MBV, SUV
mean
, and TBU for the assessment of bone metastases in prostate cancer. We used a bone-specific phantom with four hot spheres (
φ
= 13, 17, 22, 28 mm) filled with different Tc-99 m activities to simulate uptake ratios of 3 and 7, corresponding to normal and metastatic values. We calculated the error ratio (%Error) by comparing MBV, SUV
mean
, and TBU with true values for various parameters, including bone lesion size, uptake ratio, and SUV cut-off level. Differences for MBV, SUV
mean
, TBU, and bone scan index (BSI) were calculated to verify their utility in assessing bone metastases. Receiver-operating characteristic curve (ROC) analysis was performed to calculate the area under the curve (AUC) for each biomarker. MBV, SUV
mean
, and TBU were affected by lesion size, uptake ratio, and SUV cut-off level; however, TBU demonstrated the most stable %Error. The TBU %Error was within 15% in spheres 17 mm or larger when the SUV cut-off level was 7, regardless of the uptake ratio. The ROC analyses revealed the AUCs of BSI (0.977) and TBU (0.968). Additionally, TBU was able to assess bone metastasis when BSI provided false-negative results, but TBU also provided false-positive results by degenerative changes. The synergy between TBU and BSI could potentially improve diagnostic accuracy.</description><subject>Biomarkers</subject><subject>Computed tomography</subject><subject>Computer simulation</subject><subject>Diagnostic systems</subject><subject>Emission analysis</subject><subject>Errors</subject><subject>Imaging</subject><subject>Mathematical analysis</subject><subject>Medical and Radiation Physics</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastasis</subject><subject>Nuclear Medicine</subject><subject>Photon emission</subject><subject>Photons</subject><subject>Prostate cancer</subject><subject>Radiology</subject><subject>Radiotherapy</subject><subject>Tomography</subject><issn>1865-0333</issn><issn>1865-0341</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UV2L1TAULKLguvoHfDrgiy91T5KmH77Jsn7Agi_6XNL09N6sbdJN0pX7X_fHeK5XXFhECCQkM3MmM0XxWuA7gdhcJCFFV5UosUTUjSjrJ8WZaGtdoqrE079npZ4XL1K6QayFlPKsuL-6M_NmsgsewgRD8AQLZZN4uQTDFkfyYBIYD24xO-d3MLiwmPiDIgwHuN2Mzy6zwh1B4ueZynUfMuvR4lI6CtuwrFumEXJYwi6adX-4-McdTCHyqETpqANrDOwiE1jjLQ_76fL-scH3YGDds4OwsMMR7Oy8s2aGlLfx8LJ4Npk50as_-3nx_ePVt8vP5fXXT18uP1yXVjV1LnXXiXZq9TR2TTc2UtHQjJ3VlcEKG6zEoOsBDQnVDqpFkmMrprpVeuJQcajUefH2pMuWbzdKueefW5pn4ylsqZeVqBCF1JKhbx5Bb8IWPbtjVCV03UmFjJInlOUMUqSpXyOnHw-9wP5YeH8qvOfC-9-F9zWT1ImUGOx3FB-k_8P6BZ3TtAs</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Motegi, Kazuki</creator><creator>Matsutomo, Norikazu</creator><creator>Yamamoto, Tomoaki</creator><creator>Koizumi, Mitsuru</creator><general>Springer Singapore</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200901</creationdate><title>Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study</title><author>Motegi, Kazuki ; Matsutomo, Norikazu ; Yamamoto, Tomoaki ; Koizumi, Mitsuru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-59918f85fd979d723eb7d9c54a0407041b56b0ae138b380e2d81f6835f8650b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biomarkers</topic><topic>Computed tomography</topic><topic>Computer simulation</topic><topic>Diagnostic systems</topic><topic>Emission analysis</topic><topic>Errors</topic><topic>Imaging</topic><topic>Mathematical analysis</topic><topic>Medical and Radiation Physics</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastasis</topic><topic>Nuclear Medicine</topic><topic>Photon emission</topic><topic>Photons</topic><topic>Prostate cancer</topic><topic>Radiology</topic><topic>Radiotherapy</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Motegi, Kazuki</creatorcontrib><creatorcontrib>Matsutomo, Norikazu</creatorcontrib><creatorcontrib>Yamamoto, Tomoaki</creatorcontrib><creatorcontrib>Koizumi, Mitsuru</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Radiological physics and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Motegi, Kazuki</au><au>Matsutomo, Norikazu</au><au>Yamamoto, Tomoaki</au><au>Koizumi, Mitsuru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study</atitle><jtitle>Radiological physics and technology</jtitle><stitle>Radiol Phys Technol</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>13</volume><issue>3</issue><spage>219</spage><epage>229</epage><pages>219-229</pages><issn>1865-0333</issn><eissn>1865-0341</eissn><abstract>Metabolic bone volume (MBV), standardized uptake value (SUV), and total bone uptake (TBU) are new imaging biomarkers for quantitative bone single-photon emission computed tomography/computed tomography. The purpose of this study was to validate the quantitative accuracy and utility of MBV, SUV
mean
, and TBU for the assessment of bone metastases in prostate cancer. We used a bone-specific phantom with four hot spheres (
φ
= 13, 17, 22, 28 mm) filled with different Tc-99 m activities to simulate uptake ratios of 3 and 7, corresponding to normal and metastatic values. We calculated the error ratio (%Error) by comparing MBV, SUV
mean
, and TBU with true values for various parameters, including bone lesion size, uptake ratio, and SUV cut-off level. Differences for MBV, SUV
mean
, TBU, and bone scan index (BSI) were calculated to verify their utility in assessing bone metastases. Receiver-operating characteristic curve (ROC) analysis was performed to calculate the area under the curve (AUC) for each biomarker. MBV, SUV
mean
, and TBU were affected by lesion size, uptake ratio, and SUV cut-off level; however, TBU demonstrated the most stable %Error. The TBU %Error was within 15% in spheres 17 mm or larger when the SUV cut-off level was 7, regardless of the uptake ratio. The ROC analyses revealed the AUCs of BSI (0.977) and TBU (0.968). Additionally, TBU was able to assess bone metastasis when BSI provided false-negative results, but TBU also provided false-positive results by degenerative changes. The synergy between TBU and BSI could potentially improve diagnostic accuracy.</abstract><cop>Singapore</cop><pub>Springer Singapore</pub><doi>10.1007/s12194-020-00571-6</doi><tpages>11</tpages></addata></record> |
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subjects | Biomarkers Computed tomography Computer simulation Diagnostic systems Emission analysis Errors Imaging Mathematical analysis Medical and Radiation Physics Medical imaging Medicine Medicine & Public Health Metastasis Nuclear Medicine Photon emission Photons Prostate cancer Radiology Radiotherapy Tomography |
title | Evaluation of bone metastasis burden as an imaging biomarker by quantitative single-photon emission computed tomography/computed tomography for assessing prostate cancer with bone metastasis: a phantom and clinical study |
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