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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 |
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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 |
format | article |
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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 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 & 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 < 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 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 & 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 & Wilkins Ovid Technologies</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160301</creationdate><title>Does CT-based Rigidity Analysis Influence Clinical Decision-making in Simulations of Metastatic Bone Disease?</title><author>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.</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 & 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 & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical orthopaedics and related research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nazarian, Ara</au><au>Entezari, Vahid</au><au>Villa-Camacho, Juan C.</au><au>Zurakowski, David</au><au>Katz, Jeffrey N.</au><au>Hochman, Mary</au><au>Baldini, Elizabeth H.</au><au>Vartanians, Vartan</au><au>Rosen, Max P.</au><au>Gebhardt, Mark C.</au><au>Terek, Richard M.</au><au>Damron, Timothy A.</au><au>Yaszemski, Michael J.</au><au>Snyder, Brian D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does CT-based Rigidity Analysis Influence Clinical Decision-making in Simulations of Metastatic Bone Disease?</atitle><jtitle>Clinical orthopaedics and related research</jtitle><stitle>Clin Orthop Relat Res</stitle><addtitle>Clin Orthop Relat Res</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>474</volume><issue>3</issue><spage>652</spage><epage>659</epage><pages>652-659</pages><issn>0009-921X</issn><eissn>1528-1132</eissn><abstract>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 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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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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