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The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective?
Introduction Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions. Objective/aim The objective of this study was to a...
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Published in: | Emergency radiology 2023-08, Vol.30 (4), p.419-423 |
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creator | Ahmed, Moustafa Saad, Ahmed Bani-Khalid, Aseel Sonsale, Paresh Iyengar, K. P. Botchu, Rajesh |
description | Introduction
Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions.
Objective/aim
The objective of this study was to assess whether Grey Scale Inversion Imaging (GSII) has any impact on the diagnostic accuracy and inter-observer reliability in diagnosing neck of femur fractures.
Method
We performed a retrospective, single-centre study, to identify 50 consecutive anteroposterior (AP) pelvis radiographs of patients who presented to our unit with suspected neck of femur fractures between 2020 and 2021. The images included a combination of normal pelvic radiographs and others with features suggestive either intracapsular or extracapsular neck of femur fractures, which had been confirmed on computed tomography (CT), magnetic resonance imaging (MRI) and/or subsequent surgery.
Four independent observers (two Trauma and Orthopaedics (T&O) consultants, one T&O Trainee Registrar (ST3 level) and one Trainee Senior House Officer (SHO in T&O) reviewed the images and graded each radiograph image using the Likert scale in response to the statement “there is a fracture”. Following this, the same radiographs were inverted to Grey Scale Inversion Imaging (GSII) grey scale images and reassessed. RAND correlation was used for statistical analysis.
Results
Overall, observers appeared to have similar accuracy with normal radiographic imaging and with GSI sequences.
Conclusion
Grey Scale Inversion Imaging (GSII) of digital radiographs did not affect the diagnostic accuracy of detecting neck of femur fractures in our study. |
doi_str_mv | 10.1007/s10140-023-02146-5 |
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Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions.
Objective/aim
The objective of this study was to assess whether Grey Scale Inversion Imaging (GSII) has any impact on the diagnostic accuracy and inter-observer reliability in diagnosing neck of femur fractures.
Method
We performed a retrospective, single-centre study, to identify 50 consecutive anteroposterior (AP) pelvis radiographs of patients who presented to our unit with suspected neck of femur fractures between 2020 and 2021. The images included a combination of normal pelvic radiographs and others with features suggestive either intracapsular or extracapsular neck of femur fractures, which had been confirmed on computed tomography (CT), magnetic resonance imaging (MRI) and/or subsequent surgery.
Four independent observers (two Trauma and Orthopaedics (T&O) consultants, one T&O Trainee Registrar (ST3 level) and one Trainee Senior House Officer (SHO in T&O) reviewed the images and graded each radiograph image using the Likert scale in response to the statement “there is a fracture”. Following this, the same radiographs were inverted to Grey Scale Inversion Imaging (GSII) grey scale images and reassessed. RAND correlation was used for statistical analysis.
Results
Overall, observers appeared to have similar accuracy with normal radiographic imaging and with GSI sequences.
Conclusion
Grey Scale Inversion Imaging (GSII) of digital radiographs did not affect the diagnostic accuracy of detecting neck of femur fractures in our study.</description><identifier>ISSN: 1438-1435</identifier><identifier>ISSN: 1070-3004</identifier><identifier>EISSN: 1438-1435</identifier><identifier>DOI: 10.1007/s10140-023-02146-5</identifier><identifier>PMID: 37273151</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Accuracy ; Computed tomography ; Diagnostic software ; Digital imaging ; Emergency Medicine ; Femur ; Fractures ; Gray scale ; Imaging ; Magnetic resonance imaging ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Observers ; Original Article ; Orthopedics ; Pelvis ; Radiographs ; Radiology ; Statistical analysis ; Trauma</subject><ispartof>Emergency radiology, 2023-08, Vol.30 (4), p.419-423</ispartof><rights>The Author(s), under exclusive licence to American Society of Emergency Radiology (ASER) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to American Society of Emergency Radiology (ASER).</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-62eb79d8d862716d31321c9f86d0101fa2981f6a34591e14e2f6be5d7f90496a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37273151$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahmed, Moustafa</creatorcontrib><creatorcontrib>Saad, Ahmed</creatorcontrib><creatorcontrib>Bani-Khalid, Aseel</creatorcontrib><creatorcontrib>Sonsale, Paresh</creatorcontrib><creatorcontrib>Iyengar, K. P.</creatorcontrib><creatorcontrib>Botchu, Rajesh</creatorcontrib><title>The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective?</title><title>Emergency radiology</title><addtitle>Emerg Radiol</addtitle><addtitle>Emerg Radiol</addtitle><description>Introduction
Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions.
Objective/aim
The objective of this study was to assess whether Grey Scale Inversion Imaging (GSII) has any impact on the diagnostic accuracy and inter-observer reliability in diagnosing neck of femur fractures.
Method
We performed a retrospective, single-centre study, to identify 50 consecutive anteroposterior (AP) pelvis radiographs of patients who presented to our unit with suspected neck of femur fractures between 2020 and 2021. The images included a combination of normal pelvic radiographs and others with features suggestive either intracapsular or extracapsular neck of femur fractures, which had been confirmed on computed tomography (CT), magnetic resonance imaging (MRI) and/or subsequent surgery.
Four independent observers (two Trauma and Orthopaedics (T&O) consultants, one T&O Trainee Registrar (ST3 level) and one Trainee Senior House Officer (SHO in T&O) reviewed the images and graded each radiograph image using the Likert scale in response to the statement “there is a fracture”. Following this, the same radiographs were inverted to Grey Scale Inversion Imaging (GSII) grey scale images and reassessed. RAND correlation was used for statistical analysis.
Results
Overall, observers appeared to have similar accuracy with normal radiographic imaging and with GSI sequences.
Conclusion
Grey Scale Inversion Imaging (GSII) of digital radiographs did not affect the diagnostic accuracy of detecting neck of femur fractures in our study.</description><subject>Accuracy</subject><subject>Computed tomography</subject><subject>Diagnostic software</subject><subject>Digital imaging</subject><subject>Emergency Medicine</subject><subject>Femur</subject><subject>Fractures</subject><subject>Gray scale</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Observers</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Pelvis</subject><subject>Radiographs</subject><subject>Radiology</subject><subject>Statistical analysis</subject><subject>Trauma</subject><issn>1438-1435</issn><issn>1070-3004</issn><issn>1438-1435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kUtPxCAUhYnR-P4DLgyJG11UebS0uDHG6NjExIW6Jgy9jGhbFNpJ_Pcyjq-4cAH3At85QA5Ce5QcU0LKk0gJzUlGGE-D5iIrVtAmzXmVpalY_dVvoK0YnwghQopqHW3wkpWcFnQTze8fAQffAvYWTwK84Tuj06ru5xCi8z2uOz1z_QwfTu7q-gjriDVunJ71Pg7O4MH7dqHtwTwvqoVuDNgGbYYxQDzFLmI34M4HwGAtmMHN4WwHrVndRtj9rNvo4ery_uI6u7md1BfnN5nhTAyZYDAtZVM1lWAlFQ2nnFEjbSUakj5vNZMVtULzvJAUaA7MiikUTWklyWXa30aHS9-X4F9HiIPqXDTQtroHP0bFKsZKUpBCJvTgD_rkx9Cn1yUq51IQXi0otqRM8DEGsOoluE6HN0WJWqSilqmolIr6SEUVSbT_aT1OO2i-JV8xJIAvgZiO-hmEn7v_sX0H5EmU_A</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Ahmed, Moustafa</creator><creator>Saad, Ahmed</creator><creator>Bani-Khalid, Aseel</creator><creator>Sonsale, Paresh</creator><creator>Iyengar, K. P.</creator><creator>Botchu, Rajesh</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20230801</creationdate><title>The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective?</title><author>Ahmed, Moustafa ; Saad, Ahmed ; Bani-Khalid, Aseel ; Sonsale, Paresh ; Iyengar, K. P. ; Botchu, Rajesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-62eb79d8d862716d31321c9f86d0101fa2981f6a34591e14e2f6be5d7f90496a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Computed tomography</topic><topic>Diagnostic software</topic><topic>Digital imaging</topic><topic>Emergency Medicine</topic><topic>Femur</topic><topic>Fractures</topic><topic>Gray scale</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Observers</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Pelvis</topic><topic>Radiographs</topic><topic>Radiology</topic><topic>Statistical analysis</topic><topic>Trauma</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, Moustafa</creatorcontrib><creatorcontrib>Saad, Ahmed</creatorcontrib><creatorcontrib>Bani-Khalid, Aseel</creatorcontrib><creatorcontrib>Sonsale, Paresh</creatorcontrib><creatorcontrib>Iyengar, K. P.</creatorcontrib><creatorcontrib>Botchu, Rajesh</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</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>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Emergency radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Moustafa</au><au>Saad, Ahmed</au><au>Bani-Khalid, Aseel</au><au>Sonsale, Paresh</au><au>Iyengar, K. P.</au><au>Botchu, Rajesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective?</atitle><jtitle>Emergency radiology</jtitle><stitle>Emerg Radiol</stitle><addtitle>Emerg Radiol</addtitle><date>2023-08-01</date><risdate>2023</risdate><volume>30</volume><issue>4</issue><spage>419</spage><epage>423</epage><pages>419-423</pages><issn>1438-1435</issn><issn>1070-3004</issn><eissn>1438-1435</eissn><abstract>Introduction
Grey Scale Inversion Imaging (GSII), a radiology reading software, has been utilized to improve anatomical and pathological delineation and consequently increase the diagnostic accuracy in a variety of trauma and Orthopaedic conditions.
Objective/aim
The objective of this study was to assess whether Grey Scale Inversion Imaging (GSII) has any impact on the diagnostic accuracy and inter-observer reliability in diagnosing neck of femur fractures.
Method
We performed a retrospective, single-centre study, to identify 50 consecutive anteroposterior (AP) pelvis radiographs of patients who presented to our unit with suspected neck of femur fractures between 2020 and 2021. The images included a combination of normal pelvic radiographs and others with features suggestive either intracapsular or extracapsular neck of femur fractures, which had been confirmed on computed tomography (CT), magnetic resonance imaging (MRI) and/or subsequent surgery.
Four independent observers (two Trauma and Orthopaedics (T&O) consultants, one T&O Trainee Registrar (ST3 level) and one Trainee Senior House Officer (SHO in T&O) reviewed the images and graded each radiograph image using the Likert scale in response to the statement “there is a fracture”. Following this, the same radiographs were inverted to Grey Scale Inversion Imaging (GSII) grey scale images and reassessed. RAND correlation was used for statistical analysis.
Results
Overall, observers appeared to have similar accuracy with normal radiographic imaging and with GSI sequences.
Conclusion
Grey Scale Inversion Imaging (GSII) of digital radiographs did not affect the diagnostic accuracy of detecting neck of femur fractures in our study.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37273151</pmid><doi>10.1007/s10140-023-02146-5</doi><tpages>5</tpages></addata></record> |
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subjects | Accuracy Computed tomography Diagnostic software Digital imaging Emergency Medicine Femur Fractures Gray scale Imaging Magnetic resonance imaging Medical diagnosis Medical imaging Medicine Medicine & Public Health Observers Original Article Orthopedics Pelvis Radiographs Radiology Statistical analysis Trauma |
title | The role of Grey Scale Inversion Imaging (GSII) as a diagnostic tool of neck of femur fractures: is it more effective? |
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