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Does CT-based Rigidity Analysis Influence Clinical Decision-making in Simulations of Metastatic Bone Disease?

Background There is a need to improve the prediction of fracture risk for patients with metastatic bone disease. CT-based rigidity analysis (CTRA) is a sensitive and specific method, yet its influence on clinical decision-making has never been quantified. Questions/purposes What is the influence of...

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Published in:Clinical orthopaedics and related research 2016-03, Vol.474 (3), p.652-659
Main Authors: Nazarian, Ara, Entezari, Vahid, Villa-Camacho, Juan C., Zurakowski, David, Katz, Jeffrey N., Hochman, Mary, Baldini, Elizabeth H., Vartanians, Vartan, Rosen, Max P., Gebhardt, Mark C., Terek, Richard M., Damron, Timothy A., Yaszemski, Michael J., Snyder, Brian D.
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cites cdi_FETCH-LOGICAL-c573t-886a0a115ef9e5227e965765399118c0a49d129c93c511ffd7ed952fa7a495293
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container_title Clinical orthopaedics and related research
container_volume 474
creator Nazarian, Ara
Entezari, Vahid
Villa-Camacho, Juan C.
Zurakowski, David
Katz, Jeffrey N.
Hochman, Mary
Baldini, Elizabeth H.
Vartanians, Vartan
Rosen, Max P.
Gebhardt, Mark C.
Terek, Richard M.
Damron, Timothy A.
Yaszemski, Michael J.
Snyder, Brian D.
description Background There is a need to improve the prediction of fracture risk for patients with metastatic bone disease. CT-based rigidity analysis (CTRA) is a sensitive and specific method, yet its influence on clinical decision-making has never been quantified. Questions/purposes What is the influence of CTRA on providers’ perceived risk of fracture? (2) What is the influence of CTRA on providers’ treatment recommendations in simulated clinical scenarios of metastatic bone disease of the femur? (3) Does CTRA improve interobserver agreement regarding treatment recommendations? Methods We conducted a survey among 80 academic physicians (orthopaedic oncologists, musculoskeletal radiologists, and radiation oncologists) using simulated vignettes of femoral lesions presented as three separate scenarios: (1) no CTRA input (baseline); (2) CTRA input suggesting increased risk of fracture (CTRA+); and (3) CTRA input suggesting decreased risk of fracture (CTRA−). Participants were asked to rate the patient’s risk of fracture on a scale of 0% to 100% and to provide a treatment recommendation. Overall response rate was 62.5% (50 of 80). Results When CTRA suggested an increased risk of fracture, physicians perceived the fracture risk to be slightly greater (37% ± 3% versus 42% ± 3%, p < 0.001; mean difference [95% confidence interval {CI}] = 5% [4.7%–5.2%]) and were more prone to recommend surgical stabilization (46% ± 9% versus 54% ± 9%, p < 0.001; mean difference [95% CI] = 9% [7.9–10.1]). When CTRA suggested a decreased risk of fracture, physicians perceived the risk to be slightly decreased (37% ± 25% versus 35% ± 25%, p = 0.04; mean difference [95% CI] = 2% [2.74%–2.26%]) and were less prone to recommend surgical stabilization (46% ± 9% versus 42% ± 9%, p < 0.03; mean difference [95% CI] = 4% [3.9–5.1]). The effect size of the influence of CTRA on physicians’ perception of fracture risk and treatment planning varied with lesion severity and specialty of the responders. CTRA did not increase interobserver agreement regarding treatment recommendations when compared with the baseline scenario (κ = 0.41 versus κ = 0.43, respectively). Conclusions Based on this survey study, CTRA had a small influence on perceived fracture risk and treatment recommendations and did not increase interobserver agreement. Further work is required to properly introduce this technique to physicians involved in the care of patients with metastatic lesions. Given the number of preclinical and clinic
doi_str_mv 10.1007/s11999-015-4371-1
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CT-based rigidity analysis (CTRA) is a sensitive and specific method, yet its influence on clinical decision-making has never been quantified. Questions/purposes What is the influence of CTRA on providers’ perceived risk of fracture? (2) What is the influence of CTRA on providers’ treatment recommendations in simulated clinical scenarios of metastatic bone disease of the femur? (3) Does CTRA improve interobserver agreement regarding treatment recommendations? Methods We conducted a survey among 80 academic physicians (orthopaedic oncologists, musculoskeletal radiologists, and radiation oncologists) using simulated vignettes of femoral lesions presented as three separate scenarios: (1) no CTRA input (baseline); (2) CTRA input suggesting increased risk of fracture (CTRA+); and (3) CTRA input suggesting decreased risk of fracture (CTRA−). Participants were asked to rate the patient’s risk of fracture on a scale of 0% to 100% and to provide a treatment recommendation. Overall response rate was 62.5% (50 of 80). Results When CTRA suggested an increased risk of fracture, physicians perceived the fracture risk to be slightly greater (37% ± 3% versus 42% ± 3%, p &lt; 0.001; mean difference [95% confidence interval {CI}] = 5% [4.7%–5.2%]) and were more prone to recommend surgical stabilization (46% ± 9% versus 54% ± 9%, p &lt; 0.001; mean difference [95% CI] = 9% [7.9–10.1]). When CTRA suggested a decreased risk of fracture, physicians perceived the risk to be slightly decreased (37% ± 25% versus 35% ± 25%, p = 0.04; mean difference [95% CI] = 2% [2.74%–2.26%]) and were less prone to recommend surgical stabilization (46% ± 9% versus 42% ± 9%, p &lt; 0.03; mean difference [95% CI] = 4% [3.9–5.1]). The effect size of the influence of CTRA on physicians’ perception of fracture risk and treatment planning varied with lesion severity and specialty of the responders. CTRA did not increase interobserver agreement regarding treatment recommendations when compared with the baseline scenario (κ = 0.41 versus κ = 0.43, respectively). Conclusions Based on this survey study, CTRA had a small influence on perceived fracture risk and treatment recommendations and did not increase interobserver agreement. Further work is required to properly introduce this technique to physicians involved in the care of patients with metastatic lesions. Given the number of preclinical and clinical studies outlining the efficacy of this technique, better education through presentations at seminars/webinars and symposia will be the first step. This should be followed by clinical trials to establish CTRA-based clinical guidelines based on evidence-based medicine. Increased exposure of clinicians to CTRA, including its underlying methodology to study bone structural characteristics, may establish CTRA as a uniform guideline to assess fracture risk. Level of Evidence Level III, economic and decision analyses.</description><identifier>ISSN: 0009-921X</identifier><identifier>EISSN: 1528-1132</identifier><identifier>DOI: 10.1007/s11999-015-4371-1</identifier><identifier>PMID: 26022114</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Bone Neoplasms - diagnostic imaging ; Bone Neoplasms - secondary ; Bone Neoplasms - surgery ; Clinical Decision-Making ; Conservative Orthopedics ; Female ; Focus Groups ; Fractures, Spontaneous - diagnostic imaging ; Fractures, Spontaneous - pathology ; Fractures, Spontaneous - surgery ; Humans ; Male ; Medicine ; Medicine &amp; Public Health ; Orthopedics ; Pilot Projects ; Practice Patterns, Physicians ; Predictive Value of Tests ; Risk Assessment ; Risk Factors ; Sensitivity and Specificity ; Sports Medicine ; Surgery ; Surgical Orthopedics ; Symposium: 2014 Musculoskeletal Tumor Society ; Tomography, X-Ray Computed - methods ; Tumor</subject><ispartof>Clinical orthopaedics and related research, 2016-03, Vol.474 (3), p.652-659</ispartof><rights>The Association of Bone and Joint Surgeons® 2015</rights><rights>The Association of Bone and Joint Surgeons 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c573t-886a0a115ef9e5227e965765399118c0a49d129c93c511ffd7ed952fa7a495293</citedby><cites>FETCH-LOGICAL-c573t-886a0a115ef9e5227e965765399118c0a49d129c93c511ffd7ed952fa7a495293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746188/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746188/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26022114$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nazarian, Ara</creatorcontrib><creatorcontrib>Entezari, Vahid</creatorcontrib><creatorcontrib>Villa-Camacho, Juan C.</creatorcontrib><creatorcontrib>Zurakowski, David</creatorcontrib><creatorcontrib>Katz, Jeffrey N.</creatorcontrib><creatorcontrib>Hochman, Mary</creatorcontrib><creatorcontrib>Baldini, Elizabeth H.</creatorcontrib><creatorcontrib>Vartanians, Vartan</creatorcontrib><creatorcontrib>Rosen, Max P.</creatorcontrib><creatorcontrib>Gebhardt, Mark C.</creatorcontrib><creatorcontrib>Terek, Richard M.</creatorcontrib><creatorcontrib>Damron, Timothy A.</creatorcontrib><creatorcontrib>Yaszemski, Michael J.</creatorcontrib><creatorcontrib>Snyder, Brian D.</creatorcontrib><title>Does CT-based Rigidity Analysis Influence Clinical Decision-making in Simulations of Metastatic Bone Disease?</title><title>Clinical orthopaedics and related research</title><addtitle>Clin Orthop Relat Res</addtitle><addtitle>Clin Orthop Relat Res</addtitle><description>Background There is a need to improve the prediction of fracture risk for patients with metastatic bone disease. CT-based rigidity analysis (CTRA) is a sensitive and specific method, yet its influence on clinical decision-making has never been quantified. Questions/purposes What is the influence of CTRA on providers’ perceived risk of fracture? (2) What is the influence of CTRA on providers’ treatment recommendations in simulated clinical scenarios of metastatic bone disease of the femur? (3) Does CTRA improve interobserver agreement regarding treatment recommendations? Methods We conducted a survey among 80 academic physicians (orthopaedic oncologists, musculoskeletal radiologists, and radiation oncologists) using simulated vignettes of femoral lesions presented as three separate scenarios: (1) no CTRA input (baseline); (2) CTRA input suggesting increased risk of fracture (CTRA+); and (3) CTRA input suggesting decreased risk of fracture (CTRA−). Participants were asked to rate the patient’s risk of fracture on a scale of 0% to 100% and to provide a treatment recommendation. Overall response rate was 62.5% (50 of 80). Results When CTRA suggested an increased risk of fracture, physicians perceived the fracture risk to be slightly greater (37% ± 3% versus 42% ± 3%, p &lt; 0.001; mean difference [95% confidence interval {CI}] = 5% [4.7%–5.2%]) and were more prone to recommend surgical stabilization (46% ± 9% versus 54% ± 9%, p &lt; 0.001; mean difference [95% CI] = 9% [7.9–10.1]). When CTRA suggested a decreased risk of fracture, physicians perceived the risk to be slightly decreased (37% ± 25% versus 35% ± 25%, p = 0.04; mean difference [95% CI] = 2% [2.74%–2.26%]) and were less prone to recommend surgical stabilization (46% ± 9% versus 42% ± 9%, p &lt; 0.03; mean difference [95% CI] = 4% [3.9–5.1]). The effect size of the influence of CTRA on physicians’ perception of fracture risk and treatment planning varied with lesion severity and specialty of the responders. CTRA did not increase interobserver agreement regarding treatment recommendations when compared with the baseline scenario (κ = 0.41 versus κ = 0.43, respectively). Conclusions Based on this survey study, CTRA had a small influence on perceived fracture risk and treatment recommendations and did not increase interobserver agreement. Further work is required to properly introduce this technique to physicians involved in the care of patients with metastatic lesions. Given the number of preclinical and clinical studies outlining the efficacy of this technique, better education through presentations at seminars/webinars and symposia will be the first step. This should be followed by clinical trials to establish CTRA-based clinical guidelines based on evidence-based medicine. Increased exposure of clinicians to CTRA, including its underlying methodology to study bone structural characteristics, may establish CTRA as a uniform guideline to assess fracture risk. Level of Evidence Level III, economic and decision analyses.</description><subject>Bone Neoplasms - diagnostic imaging</subject><subject>Bone Neoplasms - secondary</subject><subject>Bone Neoplasms - surgery</subject><subject>Clinical Decision-Making</subject><subject>Conservative Orthopedics</subject><subject>Female</subject><subject>Focus Groups</subject><subject>Fractures, Spontaneous - diagnostic imaging</subject><subject>Fractures, Spontaneous - pathology</subject><subject>Fractures, Spontaneous - surgery</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Orthopedics</subject><subject>Pilot Projects</subject><subject>Practice Patterns, Physicians</subject><subject>Predictive Value of Tests</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Sports Medicine</subject><subject>Surgery</subject><subject>Surgical Orthopedics</subject><subject>Symposium: 2014 Musculoskeletal Tumor Society</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tumor</subject><issn>0009-921X</issn><issn>1528-1132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkV1rFTEQhoMoth79Ad5IwBtvopl8bDY3Sj3Hj0JF0ArehTQ7e0zdTdrNrnD-vamnlioIXoXJ-8w7mbyEPAb-HDg3LwqAtZZx0ExJAwzukEPQomUAUtwlh5xzy6yArwfkQSnntZRKi_vkQDRcCAB1SMZNxkLXp-zMF-zop7iNXZx39Cj5YVdiocepHxZMAel6iCkGP9ANhlhiTmz032Pa0pjo5zgug5_rZaG5px9w9mWudaCvc0K6iQWr_6uH5F7vh4KPrs8V-fL2zen6PTv5-O54fXTCgjZyZm3beO4BNPYWtRAGbaNNo6W1AG3gXtkOhA1WBg3Q953BzmrRe1MVLaxckZd734vlbMQuYJonP7iLKY5-2rnso_tTSfGb2-YfThnVQNtWg2fXBlO-XLDMbowl4DD4hHkpDlpphNVS_QdqGiWlMXWzFXn6F3qel6n-9C9KSqlUIyoFeypMuZQJ-5t3A3dXubt97q7m7q5yd1B7ntxe-Kbjd9AVEHugVCltcbo1-p-uPwFq07fG</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Nazarian, Ara</creator><creator>Entezari, Vahid</creator><creator>Villa-Camacho, Juan C.</creator><creator>Zurakowski, David</creator><creator>Katz, Jeffrey N.</creator><creator>Hochman, Mary</creator><creator>Baldini, Elizabeth H.</creator><creator>Vartanians, Vartan</creator><creator>Rosen, Max P.</creator><creator>Gebhardt, Mark C.</creator><creator>Terek, Richard M.</creator><creator>Damron, Timothy A.</creator><creator>Yaszemski, Michael J.</creator><creator>Snyder, Brian D.</creator><general>Springer US</general><general>Lippincott Williams &amp; 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Hochman, Mary ; Baldini, Elizabeth H. ; Vartanians, Vartan ; Rosen, Max P. ; Gebhardt, Mark C. ; Terek, Richard M. ; Damron, Timothy A. ; Yaszemski, Michael J. ; Snyder, Brian D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c573t-886a0a115ef9e5227e965765399118c0a49d129c93c511ffd7ed952fa7a495293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bone Neoplasms - diagnostic imaging</topic><topic>Bone Neoplasms - secondary</topic><topic>Bone Neoplasms - surgery</topic><topic>Clinical Decision-Making</topic><topic>Conservative Orthopedics</topic><topic>Female</topic><topic>Focus Groups</topic><topic>Fractures, Spontaneous - diagnostic imaging</topic><topic>Fractures, Spontaneous - pathology</topic><topic>Fractures, Spontaneous - surgery</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Orthopedics</topic><topic>Pilot Projects</topic><topic>Practice Patterns, Physicians</topic><topic>Predictive Value of Tests</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Sports Medicine</topic><topic>Surgery</topic><topic>Surgical Orthopedics</topic><topic>Symposium: 2014 Musculoskeletal Tumor Society</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tumor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nazarian, Ara</creatorcontrib><creatorcontrib>Entezari, Vahid</creatorcontrib><creatorcontrib>Villa-Camacho, Juan C.</creatorcontrib><creatorcontrib>Zurakowski, David</creatorcontrib><creatorcontrib>Katz, Jeffrey N.</creatorcontrib><creatorcontrib>Hochman, Mary</creatorcontrib><creatorcontrib>Baldini, Elizabeth H.</creatorcontrib><creatorcontrib>Vartanians, Vartan</creatorcontrib><creatorcontrib>Rosen, Max P.</creatorcontrib><creatorcontrib>Gebhardt, Mark C.</creatorcontrib><creatorcontrib>Terek, Richard M.</creatorcontrib><creatorcontrib>Damron, Timothy A.</creatorcontrib><creatorcontrib>Yaszemski, Michael J.</creatorcontrib><creatorcontrib>Snyder, Brian D.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; 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CT-based rigidity analysis (CTRA) is a sensitive and specific method, yet its influence on clinical decision-making has never been quantified. Questions/purposes What is the influence of CTRA on providers’ perceived risk of fracture? (2) What is the influence of CTRA on providers’ treatment recommendations in simulated clinical scenarios of metastatic bone disease of the femur? (3) Does CTRA improve interobserver agreement regarding treatment recommendations? Methods We conducted a survey among 80 academic physicians (orthopaedic oncologists, musculoskeletal radiologists, and radiation oncologists) using simulated vignettes of femoral lesions presented as three separate scenarios: (1) no CTRA input (baseline); (2) CTRA input suggesting increased risk of fracture (CTRA+); and (3) CTRA input suggesting decreased risk of fracture (CTRA−). Participants were asked to rate the patient’s risk of fracture on a scale of 0% to 100% and to provide a treatment recommendation. Overall response rate was 62.5% (50 of 80). Results When CTRA suggested an increased risk of fracture, physicians perceived the fracture risk to be slightly greater (37% ± 3% versus 42% ± 3%, p &lt; 0.001; mean difference [95% confidence interval {CI}] = 5% [4.7%–5.2%]) and were more prone to recommend surgical stabilization (46% ± 9% versus 54% ± 9%, p &lt; 0.001; mean difference [95% CI] = 9% [7.9–10.1]). When CTRA suggested a decreased risk of fracture, physicians perceived the risk to be slightly decreased (37% ± 25% versus 35% ± 25%, p = 0.04; mean difference [95% CI] = 2% [2.74%–2.26%]) and were less prone to recommend surgical stabilization (46% ± 9% versus 42% ± 9%, p &lt; 0.03; mean difference [95% CI] = 4% [3.9–5.1]). The effect size of the influence of CTRA on physicians’ perception of fracture risk and treatment planning varied with lesion severity and specialty of the responders. CTRA did not increase interobserver agreement regarding treatment recommendations when compared with the baseline scenario (κ = 0.41 versus κ = 0.43, respectively). Conclusions Based on this survey study, CTRA had a small influence on perceived fracture risk and treatment recommendations and did not increase interobserver agreement. Further work is required to properly introduce this technique to physicians involved in the care of patients with metastatic lesions. Given the number of preclinical and clinical studies outlining the efficacy of this technique, better education through presentations at seminars/webinars and symposia will be the first step. This should be followed by clinical trials to establish CTRA-based clinical guidelines based on evidence-based medicine. Increased exposure of clinicians to CTRA, including its underlying methodology to study bone structural characteristics, may establish CTRA as a uniform guideline to assess fracture risk. Level of Evidence Level III, economic and decision analyses.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>26022114</pmid><doi>10.1007/s11999-015-4371-1</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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ispartof Clinical orthopaedics and related research, 2016-03, Vol.474 (3), p.652-659
issn 0009-921X
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source Open Access: PubMed Central
subjects Bone Neoplasms - diagnostic imaging
Bone Neoplasms - secondary
Bone Neoplasms - surgery
Clinical Decision-Making
Conservative Orthopedics
Female
Focus Groups
Fractures, Spontaneous - diagnostic imaging
Fractures, Spontaneous - pathology
Fractures, Spontaneous - surgery
Humans
Male
Medicine
Medicine & Public Health
Orthopedics
Pilot Projects
Practice Patterns, Physicians
Predictive Value of Tests
Risk Assessment
Risk Factors
Sensitivity and Specificity
Sports Medicine
Surgery
Surgical Orthopedics
Symposium: 2014 Musculoskeletal Tumor Society
Tomography, X-Ray Computed - methods
Tumor
title Does CT-based Rigidity Analysis Influence Clinical Decision-making in Simulations of Metastatic Bone Disease?
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