The new SPECT/CT reconstruction algorithm xSPECT Bone®: reliability and accuracy in daily practice for non-oncologic bone diseases
Objectives: xSPECT Bone ® (xB) is a new reconstruction algorithm developed by Siemens ® in bone hybrid imaging (SPECT/CT). A CT-based tissue segmentation is incorporated into SPECT reconstruction to provide SPECT images with bone anatomy appearance. The objectives of this unique study were, in a con...
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Veröffentlicht in: | The Journal of nuclear medicine (1978) 2017-05, Vol.58, p.1213 |
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description | Objectives: xSPECT Bone ® (xB) is a new reconstruction algorithm developed by Siemens ® in bone hybrid imaging (SPECT/CT). A CT-based tissue segmentation is incorporated into SPECT reconstruction to provide SPECT images with bone anatomy appearance. The objectives of this unique study were, in a context of daily practice, to compare interobserver agreement (IOA) and diagnostic accuracy between two Siemens ® reconstructions (a new one xB/CT and the commonly used Flash 3D ® (F3D)/CT). Methods: Two hundred thirteen consecutive patients referred to the Brest nuclear medicine department for non-oncological bone diseases were evaluated retrospectively. Each SPECT/CT was performed on a Symbia Intevo T6 gamma camera (Siemens ®). Two hundred seven SPECT/CT were included (7 patients were excluded and 2 SPECT/CT were performed for the same patient). All SPECT/CT were independently interpreted by two nuclear physicians (one junior and one senior expert) with xB/CT then with F3D/CT three months later. The diagnoses were classified into 5 categories (Normal scintigraphy; Arthritis; Abarticular disease; Fracture or tumour pathology; Complex Regional Pain Syndrome). IOA and diagnostic accuracy were determined using a McNemar test, an unweighted Kappa coefficient and using the clinical and paraclinical follow-up of more than 18 months. Results: No statistically significant difference between IOA xB and IOA F3D were found (p = 0,532). Agreement for xB after categorical classification of the diagnoses was high (κ xB = 0,89 [95% CI 0,84 - 0,93]) but without statistically significant difference with that of F3D (κ F3D = 0,90 [95% CI 0,86 - 0,94]). Thirty-one (14,9%) inter-reconstruction diagnostic discrepancies were observed whose 21 (10,1%) were classified as major. The follow-up confirmed the diagnosis of F3D in 10 cases, xB in 6 cases and was non-contributory in 5 cases. Conclusion: xB reconstruction algorithm was found reliable, providing high interobserver agreement with similar performances to F3D reconstruction in a context of daily practice. Nevertheless we believe it provides a strong added value to the SPECT/CT images thanks to a striking aesthetic aspect, with the condition of a strict spatial agreement between the SPECT and the CT acquisitions to obtain interpretable xB images. |
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A CT-based tissue segmentation is incorporated into SPECT reconstruction to provide SPECT images with bone anatomy appearance. The objectives of this unique study were, in a context of daily practice, to compare interobserver agreement (IOA) and diagnostic accuracy between two Siemens ® reconstructions (a new one xB/CT and the commonly used Flash 3D ® (F3D)/CT). Methods: Two hundred thirteen consecutive patients referred to the Brest nuclear medicine department for non-oncological bone diseases were evaluated retrospectively. Each SPECT/CT was performed on a Symbia Intevo T6 gamma camera (Siemens ®). Two hundred seven SPECT/CT were included (7 patients were excluded and 2 SPECT/CT were performed for the same patient). All SPECT/CT were independently interpreted by two nuclear physicians (one junior and one senior expert) with xB/CT then with F3D/CT three months later. The diagnoses were classified into 5 categories (Normal scintigraphy; Arthritis; Abarticular disease; Fracture or tumour pathology; Complex Regional Pain Syndrome). IOA and diagnostic accuracy were determined using a McNemar test, an unweighted Kappa coefficient and using the clinical and paraclinical follow-up of more than 18 months. Results: No statistically significant difference between IOA xB and IOA F3D were found (p = 0,532). Agreement for xB after categorical classification of the diagnoses was high (κ xB = 0,89 [95% CI 0,84 - 0,93]) but without statistically significant difference with that of F3D (κ F3D = 0,90 [95% CI 0,86 - 0,94]). Thirty-one (14,9%) inter-reconstruction diagnostic discrepancies were observed whose 21 (10,1%) were classified as major. The follow-up confirmed the diagnosis of F3D in 10 cases, xB in 6 cases and was non-contributory in 5 cases. Conclusion: xB reconstruction algorithm was found reliable, providing high interobserver agreement with similar performances to F3D reconstruction in a context of daily practice. Nevertheless we believe it provides a strong added value to the SPECT/CT images thanks to a striking aesthetic aspect, with the condition of a strict spatial agreement between the SPECT and the CT acquisitions to obtain interpretable xB images.</description><identifier>ISSN: 0161-5505</identifier><identifier>EISSN: 1535-5667</identifier><language>eng</language><publisher>New York: Society of Nuclear Medicine</publisher><subject>Algorithms ; Arthritis ; Bone diseases ; Bone imaging ; Complex regional pain syndrome ; Computed tomography ; Diagnostic systems ; Image processing ; Image reconstruction ; Image segmentation ; Medical imaging ; Medical personnel ; Nuclear medicine ; Oncology ; Pain ; Patients ; Physicians ; Scintigraphy ; Single photon emission computed tomography ; Statistical analysis ; Statistical significance ; Tumors</subject><ispartof>The Journal of nuclear medicine (1978), 2017-05, Vol.58, p.1213</ispartof><rights>Copyright Society of Nuclear Medicine May 1, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Delcroix, Olivier</creatorcontrib><creatorcontrib>Robin, Philippe</creatorcontrib><creatorcontrib>Gouillou, Maelenn</creatorcontrib><creatorcontrib>Le Duc-Pennec, Alexandra</creatorcontrib><creatorcontrib>Le Roux, Pierre Yves</creatorcontrib><creatorcontrib>Salaun, Pierre</creatorcontrib><creatorcontrib>Abgral, Ronan</creatorcontrib><creatorcontrib>Bourhis, David</creatorcontrib><creatorcontrib>Querellou, Solene</creatorcontrib><title>The new SPECT/CT reconstruction algorithm xSPECT Bone®: reliability and accuracy in daily practice for non-oncologic bone diseases</title><title>The Journal of nuclear medicine (1978)</title><description>Objectives: xSPECT Bone ® (xB) is a new reconstruction algorithm developed by Siemens ® in bone hybrid imaging (SPECT/CT). A CT-based tissue segmentation is incorporated into SPECT reconstruction to provide SPECT images with bone anatomy appearance. The objectives of this unique study were, in a context of daily practice, to compare interobserver agreement (IOA) and diagnostic accuracy between two Siemens ® reconstructions (a new one xB/CT and the commonly used Flash 3D ® (F3D)/CT). Methods: Two hundred thirteen consecutive patients referred to the Brest nuclear medicine department for non-oncological bone diseases were evaluated retrospectively. Each SPECT/CT was performed on a Symbia Intevo T6 gamma camera (Siemens ®). Two hundred seven SPECT/CT were included (7 patients were excluded and 2 SPECT/CT were performed for the same patient). All SPECT/CT were independently interpreted by two nuclear physicians (one junior and one senior expert) with xB/CT then with F3D/CT three months later. The diagnoses were classified into 5 categories (Normal scintigraphy; Arthritis; Abarticular disease; Fracture or tumour pathology; Complex Regional Pain Syndrome). IOA and diagnostic accuracy were determined using a McNemar test, an unweighted Kappa coefficient and using the clinical and paraclinical follow-up of more than 18 months. Results: No statistically significant difference between IOA xB and IOA F3D were found (p = 0,532). Agreement for xB after categorical classification of the diagnoses was high (κ xB = 0,89 [95% CI 0,84 - 0,93]) but without statistically significant difference with that of F3D (κ F3D = 0,90 [95% CI 0,86 - 0,94]). Thirty-one (14,9%) inter-reconstruction diagnostic discrepancies were observed whose 21 (10,1%) were classified as major. The follow-up confirmed the diagnosis of F3D in 10 cases, xB in 6 cases and was non-contributory in 5 cases. Conclusion: xB reconstruction algorithm was found reliable, providing high interobserver agreement with similar performances to F3D reconstruction in a context of daily practice. Nevertheless we believe it provides a strong added value to the SPECT/CT images thanks to a striking aesthetic aspect, with the condition of a strict spatial agreement between the SPECT and the CT acquisitions to obtain interpretable xB images.</description><subject>Algorithms</subject><subject>Arthritis</subject><subject>Bone diseases</subject><subject>Bone imaging</subject><subject>Complex regional pain syndrome</subject><subject>Computed tomography</subject><subject>Diagnostic systems</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Image segmentation</subject><subject>Medical imaging</subject><subject>Medical personnel</subject><subject>Nuclear medicine</subject><subject>Oncology</subject><subject>Pain</subject><subject>Patients</subject><subject>Physicians</subject><subject>Scintigraphy</subject><subject>Single photon emission computed tomography</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Tumors</subject><issn>0161-5505</issn><issn>1535-5667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqNzEFOwzAQBVALgUQo3GEk1hFOI7uBJVERSySyr1xn2k5lZortiGbd-3AITkaEOEBXX1__6V-oojK1KY21i0tV6MpWpTHaXKublPZaa9s0TaFO3Q6B8Qve35Zt99B2ENELpxwHn0kYXNhKpLz7gOMfgWdh_Pl-mlwgt6ZAeQTHPTjvh-j8CMTQOwojHKaaySNsJAILl8JegmzJw3o6gZ4SuoTpVl1tXEh4958zdf-y7NrX8hDlc8CUV3sZIk_Taq7rx8aahbH1eeoXNE5TFQ</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Delcroix, Olivier</creator><creator>Robin, Philippe</creator><creator>Gouillou, Maelenn</creator><creator>Le Duc-Pennec, Alexandra</creator><creator>Le Roux, Pierre Yves</creator><creator>Salaun, Pierre</creator><creator>Abgral, Ronan</creator><creator>Bourhis, David</creator><creator>Querellou, Solene</creator><general>Society of Nuclear Medicine</general><scope>4T-</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P64</scope></search><sort><creationdate>20170501</creationdate><title>The new SPECT/CT reconstruction algorithm xSPECT Bone®: reliability and accuracy in daily practice for non-oncologic bone diseases</title><author>Delcroix, Olivier ; Robin, Philippe ; Gouillou, Maelenn ; Le Duc-Pennec, Alexandra ; Le Roux, Pierre Yves ; Salaun, Pierre ; Abgral, Ronan ; Bourhis, David ; Querellou, Solene</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_20398657563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Arthritis</topic><topic>Bone diseases</topic><topic>Bone imaging</topic><topic>Complex regional pain syndrome</topic><topic>Computed tomography</topic><topic>Diagnostic systems</topic><topic>Image processing</topic><topic>Image reconstruction</topic><topic>Image segmentation</topic><topic>Medical imaging</topic><topic>Medical personnel</topic><topic>Nuclear medicine</topic><topic>Oncology</topic><topic>Pain</topic><topic>Patients</topic><topic>Physicians</topic><topic>Scintigraphy</topic><topic>Single photon emission computed tomography</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delcroix, Olivier</creatorcontrib><creatorcontrib>Robin, Philippe</creatorcontrib><creatorcontrib>Gouillou, Maelenn</creatorcontrib><creatorcontrib>Le Duc-Pennec, Alexandra</creatorcontrib><creatorcontrib>Le Roux, Pierre Yves</creatorcontrib><creatorcontrib>Salaun, Pierre</creatorcontrib><creatorcontrib>Abgral, Ronan</creatorcontrib><creatorcontrib>Bourhis, David</creatorcontrib><creatorcontrib>Querellou, Solene</creatorcontrib><collection>Docstoc</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>The Journal of nuclear medicine (1978)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Delcroix, Olivier</au><au>Robin, Philippe</au><au>Gouillou, Maelenn</au><au>Le Duc-Pennec, Alexandra</au><au>Le Roux, Pierre Yves</au><au>Salaun, Pierre</au><au>Abgral, Ronan</au><au>Bourhis, David</au><au>Querellou, Solene</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The new SPECT/CT reconstruction algorithm xSPECT Bone®: reliability and accuracy in daily practice for non-oncologic bone diseases</atitle><jtitle>The Journal of nuclear medicine (1978)</jtitle><date>2017-05-01</date><risdate>2017</risdate><volume>58</volume><spage>1213</spage><pages>1213-</pages><issn>0161-5505</issn><eissn>1535-5667</eissn><abstract>Objectives: xSPECT Bone ® (xB) is a new reconstruction algorithm developed by Siemens ® in bone hybrid imaging (SPECT/CT). A CT-based tissue segmentation is incorporated into SPECT reconstruction to provide SPECT images with bone anatomy appearance. The objectives of this unique study were, in a context of daily practice, to compare interobserver agreement (IOA) and diagnostic accuracy between two Siemens ® reconstructions (a new one xB/CT and the commonly used Flash 3D ® (F3D)/CT). Methods: Two hundred thirteen consecutive patients referred to the Brest nuclear medicine department for non-oncological bone diseases were evaluated retrospectively. Each SPECT/CT was performed on a Symbia Intevo T6 gamma camera (Siemens ®). Two hundred seven SPECT/CT were included (7 patients were excluded and 2 SPECT/CT were performed for the same patient). All SPECT/CT were independently interpreted by two nuclear physicians (one junior and one senior expert) with xB/CT then with F3D/CT three months later. The diagnoses were classified into 5 categories (Normal scintigraphy; Arthritis; Abarticular disease; Fracture or tumour pathology; Complex Regional Pain Syndrome). IOA and diagnostic accuracy were determined using a McNemar test, an unweighted Kappa coefficient and using the clinical and paraclinical follow-up of more than 18 months. Results: No statistically significant difference between IOA xB and IOA F3D were found (p = 0,532). Agreement for xB after categorical classification of the diagnoses was high (κ xB = 0,89 [95% CI 0,84 - 0,93]) but without statistically significant difference with that of F3D (κ F3D = 0,90 [95% CI 0,86 - 0,94]). Thirty-one (14,9%) inter-reconstruction diagnostic discrepancies were observed whose 21 (10,1%) were classified as major. The follow-up confirmed the diagnosis of F3D in 10 cases, xB in 6 cases and was non-contributory in 5 cases. Conclusion: xB reconstruction algorithm was found reliable, providing high interobserver agreement with similar performances to F3D reconstruction in a context of daily practice. Nevertheless we believe it provides a strong added value to the SPECT/CT images thanks to a striking aesthetic aspect, with the condition of a strict spatial agreement between the SPECT and the CT acquisitions to obtain interpretable xB images.</abstract><cop>New York</cop><pub>Society of Nuclear Medicine</pub></addata></record> |
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subjects | Algorithms Arthritis Bone diseases Bone imaging Complex regional pain syndrome Computed tomography Diagnostic systems Image processing Image reconstruction Image segmentation Medical imaging Medical personnel Nuclear medicine Oncology Pain Patients Physicians Scintigraphy Single photon emission computed tomography Statistical analysis Statistical significance Tumors |
title | The new SPECT/CT reconstruction algorithm xSPECT Bone®: reliability and accuracy in daily practice for non-oncologic bone diseases |
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