FREQUENCY OF BONE FRACTURES DETECTED BY PLAIN RADIOGRAPHY AND KEEPING CT AS GOLD STANDARD Article Swipe
Muhammad Shahzad
,
Rana Muhammad
,
Athar Shams
,
Asma Ibrahim
,
Mohammad Hasan Shahid
,
Noor Fatima
,
Muhammad Yasir
,
Amna Babar
,
Sybil Rose
,
Bakhtawar Khan
,
Gamman Basti
,
Zaffar Khan
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.7176/jhmn/93-09
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.7176/jhmn/93-09
Background: The main cause of bone fracture is traffic accidents are (72.2%), falls (11.6%), blunt injuries are (7.7%) and others (5.8 %) ). About 84 patients were included in our studies. Out of which 21 (25.0%) were females and 63(75.0%) were males. Objective: The objective of this study is to evaluate the frequency of bone fractures detected by plain radiography and keeping CT as gold standard. Methodology: In our cross-sectional study all the patients with fracture undergoing CT and X-Ray were included. Patients with bone surgery were excluded as well as patients who declined to give consent and those who were uncooperative were all excluded. X-ray performed for all the fractures and the complex one sent to CT. The consent form was obtained by patients in this study. We reviewed our data of patients who underwent CT and X-ray. CT (Toshiba 64) was performed from the exact area of fracture and images reconstructed at 3mm and for reporting 5mm for filming. X-ray performed according to the appropriate range of kVp and mAs. All findings of CT were considered by the advice of consultant radiologist. Data was represented with means of standard deviation of frequency and percentage where appropriate. Chi square testing was used to compare CT and X-ray qualitative data. Data was entered into IBM SPSS Statistics 24.0. P-value <0.05 considered the significant. Results: In our study 84 patients were included. Out of which 21 (25.0%) were females and 63 (75.0%) were males and the standard deviation was 0.436. There causes of fracture were 18(21.4%) injury, 8(9.5%) were compression fractures, 54(64.3%) RTA, 2(2.4%) pathologic fractures and 1(1.2%) was sports injury fracture and the standard deviation was .997. Conclusion: Our study concluded that the bone fractures are more common in males than females. The most common cause of bone fractures is RTA (Road Traffic Accidents). Study also concludes that most common type of bone fracture is Transverse bone fracture. CT was more efficient in detecting bone fractures than plain radiography because more fractures were detected on CT than plain radiography. Keywords: Non-enhanced CT, X- ray, Bone fracture, Road Traffic Accidents DOI: 10.7176/JHMN/93-09 Publication date: September 30 th 2021
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7176/jhmn/93-09
- https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242
- OA Status
- hybrid
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3204026831
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3204026831Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7176/jhmn/93-09Digital Object Identifier
- Title
-
FREQUENCY OF BONE FRACTURES DETECTED BY PLAIN RADIOGRAPHY AND KEEPING CT AS GOLD STANDARDWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-01Full publication date if available
- Authors
-
Muhammad Shahzad, Rana Muhammad, Athar Shams, Asma Ibrahim, Mohammad Hasan Shahid, Noor Fatima, Muhammad Yasir, Amna Babar, Sybil Rose, Bakhtawar Khan, Gamman Basti, Zaffar KhanList of authors in order
- Landing page
-
https://doi.org/10.7176/jhmn/93-09Publisher landing page
- PDF URL
-
https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242Direct OA link when available
- Concepts
-
Medicine, Gold standard (test), Radiography, Blunt, Radiology, Nuclear medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3204026831 |
|---|---|
| doi | https://doi.org/10.7176/jhmn/93-09 |
| ids.doi | https://doi.org/10.7176/jhmn/93-09 |
| ids.mag | 3204026831 |
| ids.openalex | https://openalex.org/W3204026831 |
| fwci | 0.0 |
| type | article |
| title | FREQUENCY OF BONE FRACTURES DETECTED BY PLAIN RADIOGRAPHY AND KEEPING CT AS GOLD STANDARD |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12386 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9902999997138977 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Advanced X-ray and CT Imaging |
| topics[1].id | https://openalex.org/T12422 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9775999784469604 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2741 |
| topics[1].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[1].display_name | Radiomics and Machine Learning in Medical Imaging |
| topics[2].id | https://openalex.org/T11509 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9771000146865845 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2746 |
| topics[2].subfield.display_name | Surgery |
| topics[2].display_name | Hip and Femur Fractures |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C71924100 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7743899822235107 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[0].display_name | Medicine |
| concepts[1].id | https://openalex.org/C40993552 |
| concepts[1].level | 2 |
| concepts[1].score | 0.700880765914917 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q514654 |
| concepts[1].display_name | Gold standard (test) |
| concepts[2].id | https://openalex.org/C36454342 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6026792526245117 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q245341 |
| concepts[2].display_name | Radiography |
| concepts[3].id | https://openalex.org/C105698618 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5238626003265381 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q886371 |
| concepts[3].display_name | Blunt |
| concepts[4].id | https://openalex.org/C126838900 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5063992738723755 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q77604 |
| concepts[4].display_name | Radiology |
| concepts[5].id | https://openalex.org/C2989005 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4685206115245819 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q214963 |
| concepts[5].display_name | Nuclear medicine |
| keywords[0].id | https://openalex.org/keywords/medicine |
| keywords[0].score | 0.7743899822235107 |
| keywords[0].display_name | Medicine |
| keywords[1].id | https://openalex.org/keywords/gold-standard |
| keywords[1].score | 0.700880765914917 |
| keywords[1].display_name | Gold standard (test) |
| keywords[2].id | https://openalex.org/keywords/radiography |
| keywords[2].score | 0.6026792526245117 |
| keywords[2].display_name | Radiography |
| keywords[3].id | https://openalex.org/keywords/blunt |
| keywords[3].score | 0.5238626003265381 |
| keywords[3].display_name | Blunt |
| keywords[4].id | https://openalex.org/keywords/radiology |
| keywords[4].score | 0.5063992738723755 |
| keywords[4].display_name | Radiology |
| keywords[5].id | https://openalex.org/keywords/nuclear-medicine |
| keywords[5].score | 0.4685206115245819 |
| keywords[5].display_name | Nuclear medicine |
| language | en |
| locations[0].id | doi:10.7176/jhmn/93-09 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764491820 |
| locations[0].source.issn | |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Health, Medicine and Nursing |
| locations[0].source.host_organization | https://openalex.org/P4310320723 |
| locations[0].source.host_organization_name | IISTE |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320723 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Health, Medicine and Nursing |
| locations[0].landing_page_url | https://doi.org/10.7176/jhmn/93-09 |
| locations[1].id | pmh:oai:ojs.localhost:article/57368 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400041 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | VNU Journal of Science: Natural Sciences and Technology (Vietnam National University) |
| locations[1].source.host_organization | https://openalex.org/I177233841 |
| locations[1].source.host_organization_name | Vietnam National University, Hanoi |
| locations[1].source.host_organization_lineage | https://openalex.org/I177233841 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | info:eu-repo/semantics/article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Journal of Health, Medicine and Nursing; Vol 93 (2021); 61-66 |
| locations[1].landing_page_url | https://iiste.org/Journals/index.php/JHMN/article/view/57368 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5100621300 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-4812-8957 |
| authorships[0].author.display_name | Muhammad Shahzad |
| authorships[0].countries | PK |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[0].affiliations[0].raw_affiliation_string | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[0].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[0].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[0].institutions[0].country_code | PK |
| authorships[0].institutions[0].display_name | Superior University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Muhammad Shahzad |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[1].author.id | https://openalex.org/A5110806694 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Rana Muhammad |
| authorships[1].countries | PK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[1].affiliations[0].raw_affiliation_string | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[1].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[1].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[1].institutions[0].country_code | PK |
| authorships[1].institutions[0].display_name | Superior University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Rana Muhammad |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[2].author.id | https://openalex.org/A5109520685 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Athar Shams |
| authorships[2].countries | PK |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[2].affiliations[0].raw_affiliation_string | MID, MSMIT, Lecturer, Superior University Lahore |
| authorships[2].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[2].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[2].institutions[0].country_code | PK |
| authorships[2].institutions[0].display_name | Superior University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Athar Shams |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | MID, MSMIT, Lecturer, Superior University Lahore |
| authorships[3].author.id | https://openalex.org/A5102631473 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Asma Ibrahim |
| authorships[3].countries | PK |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[3].affiliations[0].raw_affiliation_string | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[3].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[3].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[3].institutions[0].country_code | PK |
| authorships[3].institutions[0].display_name | Superior University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Asma Ibrahim |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[4].author.id | https://openalex.org/A5082827794 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-9787-2881 |
| authorships[4].author.display_name | Mohammad Hasan Shahid |
| authorships[4].countries | PK |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[4].affiliations[0].raw_affiliation_string | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[4].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[4].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[4].institutions[0].country_code | PK |
| authorships[4].institutions[0].display_name | Superior University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Mohammad Shahid |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[5].author.id | https://openalex.org/A5101629423 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1490-5527 |
| authorships[5].author.display_name | Noor Fatima |
| authorships[5].countries | PK |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[5].affiliations[0].raw_affiliation_string | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[5].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[5].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[5].institutions[0].country_code | PK |
| authorships[5].institutions[0].display_name | Superior University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Noor Fatima |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[6].author.id | https://openalex.org/A5048273697 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-9437-2996 |
| authorships[6].author.display_name | Muhammad Yasir |
| authorships[6].countries | PK |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[6].affiliations[0].raw_affiliation_string | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[6].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[6].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[6].institutions[0].country_code | PK |
| authorships[6].institutions[0].display_name | Superior University |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Muhammad Yasir |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Student, Bachelors of Science in Medical Imaging Technology (BSMIT), Department of Allied Health Sciences, Superior University Lahore, 17-Km Raiwaind road, Kot araian, Lahore, Pakistan. |
| authorships[7].author.id | https://openalex.org/A5080635618 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Amna Babar |
| authorships[7].countries | PK |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[7].affiliations[0].raw_affiliation_string | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[7].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[7].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[7].institutions[0].country_code | PK |
| authorships[7].institutions[0].display_name | Superior University |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Amna Babar |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[8].author.id | https://openalex.org/A5071387113 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-8827-8896 |
| authorships[8].author.display_name | Sybil Rose |
| authorships[8].countries | PK |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[8].affiliations[0].raw_affiliation_string | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[8].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[8].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[8].institutions[0].country_code | PK |
| authorships[8].institutions[0].display_name | Superior University |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Sybil Rose |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | MID, MSDU*, Lecturer, Superior University Lahore |
| authorships[9].author.id | https://openalex.org/A5010297915 |
| authorships[9].author.orcid | |
| authorships[9].author.display_name | Bakhtawar Khan |
| authorships[9].countries | PK |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I4210100043 |
| authorships[9].affiliations[0].raw_affiliation_string | BS Mathematics, M.Phil. Mathematics, Lecturer, Superior University Lahore |
| authorships[9].institutions[0].id | https://openalex.org/I4210100043 |
| authorships[9].institutions[0].ror | https://ror.org/00yh88643 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I4210100043 |
| authorships[9].institutions[0].country_code | PK |
| authorships[9].institutions[0].display_name | Superior University |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Bakhtawar Khan |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | BS Mathematics, M.Phil. Mathematics, Lecturer, Superior University Lahore |
| authorships[10].author.id | https://openalex.org/A5094370502 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Gamman Basti |
| authorships[10].affiliations[0].raw_affiliation_string | Post Office, Tehsil Liaquat Pur, District Rahim Yar Khan Postal Address: House No.1105, Street No.1, Umer Block Bahria Town, Lahore |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Gamman Basti |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Post Office, Tehsil Liaquat Pur, District Rahim Yar Khan Postal Address: House No.1105, Street No.1, Umer Block Bahria Town, Lahore |
| authorships[11].author.id | https://openalex.org/A5108763902 |
| authorships[11].author.orcid | |
| authorships[11].author.display_name | Zaffar Khan |
| authorships[11].affiliations[0].raw_affiliation_string | Post Office, Tehsil Liaquat Pur, District Rahim Yar Khan Postal Address: House No.1105, Street No.1, Umer Block Bahria Town, Lahore |
| authorships[11].author_position | last |
| authorships[11].raw_author_name | Zaffar Khan |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Post Office, Tehsil Liaquat Pur, District Rahim Yar Khan Postal Address: House No.1105, Street No.1, Umer Block Bahria Town, Lahore |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2021-10-11T00:00:00 |
| display_name | FREQUENCY OF BONE FRACTURES DETECTED BY PLAIN RADIOGRAPHY AND KEEPING CT AS GOLD STANDARD |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12386 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9902999997138977 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Advanced X-ray and CT Imaging |
| related_works | https://openalex.org/W832193342, https://openalex.org/W2028136570, https://openalex.org/W2122701914, https://openalex.org/W1987850981, https://openalex.org/W3216424047, https://openalex.org/W2373852300, https://openalex.org/W2385434566, https://openalex.org/W2328356935, https://openalex.org/W2478911656, https://openalex.org/W4385065848 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.7176/jhmn/93-09 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764491820 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Health, Medicine and Nursing |
| best_oa_location.source.host_organization | https://openalex.org/P4310320723 |
| best_oa_location.source.host_organization_name | IISTE |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320723 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Health, Medicine and Nursing |
| best_oa_location.landing_page_url | https://doi.org/10.7176/jhmn/93-09 |
| primary_location.id | doi:10.7176/jhmn/93-09 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764491820 |
| primary_location.source.issn | |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Health, Medicine and Nursing |
| primary_location.source.host_organization | https://openalex.org/P4310320723 |
| primary_location.source.host_organization_name | IISTE |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320723 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.iiste.org/Journals/index.php/JHMN/article/download/57368/59242 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Health, Medicine and Nursing |
| primary_location.landing_page_url | https://doi.org/10.7176/jhmn/93-09 |
| publication_date | 2021-09-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W7064278936, https://openalex.org/W6600618719, https://openalex.org/W4232535768, https://openalex.org/W2013153350, https://openalex.org/W1862397562, https://openalex.org/W2542625410, https://openalex.org/W2124295295, https://openalex.org/W2031035930, https://openalex.org/W2102799620, https://openalex.org/W2071777926, https://openalex.org/W2072586356, https://openalex.org/W2740651027, https://openalex.org/W3157617253, https://openalex.org/W653190051, https://openalex.org/W15349566, https://openalex.org/W1495575715, https://openalex.org/W2043027327, https://openalex.org/W3034410803, https://openalex.org/W2133508972, https://openalex.org/W2048090727 |
| referenced_works_count | 20 |
| abstract_inverted_index.%) | 21 |
| abstract_inverted_index.). | 22 |
| abstract_inverted_index.21 | 34, 234 |
| abstract_inverted_index.30 | 354 |
| abstract_inverted_index.63 | 239 |
| abstract_inverted_index.84 | 24, 227 |
| abstract_inverted_index.CT | 62, 77, 136, 139, 175, 205, 318, 335 |
| abstract_inverted_index.In | 67, 224 |
| abstract_inverted_index.We | 128 |
| abstract_inverted_index.X- | 342 |
| abstract_inverted_index.as | 63, 88, 90 |
| abstract_inverted_index.at | 153 |
| abstract_inverted_index.by | 57, 123, 178 |
| abstract_inverted_index.in | 28, 125, 288, 322 |
| abstract_inverted_index.is | 7, 48, 299, 314 |
| abstract_inverted_index.of | 4, 32, 45, 53, 132, 148, 168, 174, 181, 189, 192, 232, 251, 296, 311 |
| abstract_inverted_index.on | 334 |
| abstract_inverted_index.th | 355 |
| abstract_inverted_index.to | 49, 94, 116, 164, 203 |
| abstract_inverted_index.3mm | 154 |
| abstract_inverted_index.5mm | 158 |
| abstract_inverted_index.64) | 141 |
| abstract_inverted_index.All | 172 |
| abstract_inverted_index.CT, | 341 |
| abstract_inverted_index.CT. | 117 |
| abstract_inverted_index.Chi | 198 |
| abstract_inverted_index.IBM | 214 |
| abstract_inverted_index.Our | 278 |
| abstract_inverted_index.Out | 31, 231 |
| abstract_inverted_index.RTA | 300 |
| abstract_inverted_index.The | 1, 43, 118, 292 |
| abstract_inverted_index.all | 71, 103, 108 |
| abstract_inverted_index.and | 18, 38, 60, 78, 97, 111, 137, 150, 155, 170, 194, 206, 238, 243, 265, 271 |
| abstract_inverted_index.are | 10, 16, 285 |
| abstract_inverted_index.for | 107, 156, 159 |
| abstract_inverted_index.kVp | 169 |
| abstract_inverted_index.one | 114 |
| abstract_inverted_index.our | 29, 68, 130, 225 |
| abstract_inverted_index.the | 51, 72, 109, 112, 145, 165, 179, 221, 244, 272, 282 |
| abstract_inverted_index.was | 121, 142, 185, 201, 211, 247, 267, 275, 319 |
| abstract_inverted_index.who | 92, 99, 134 |
| abstract_inverted_index.(5.8 | 20 |
| abstract_inverted_index.2021 | 356 |
| abstract_inverted_index.Bone | 344 |
| abstract_inverted_index.DOI: | 349 |
| abstract_inverted_index.Data | 184, 210 |
| abstract_inverted_index.RTA, | 261 |
| abstract_inverted_index.Road | 346 |
| abstract_inverted_index.SPSS | 215 |
| abstract_inverted_index.also | 305 |
| abstract_inverted_index.area | 147 |
| abstract_inverted_index.bone | 5, 54, 84, 283, 297, 312, 316, 324 |
| abstract_inverted_index.data | 131 |
| abstract_inverted_index.form | 120 |
| abstract_inverted_index.from | 144 |
| abstract_inverted_index.give | 95 |
| abstract_inverted_index.gold | 64 |
| abstract_inverted_index.into | 213 |
| abstract_inverted_index.mAs. | 171 |
| abstract_inverted_index.main | 2 |
| abstract_inverted_index.more | 286, 320, 330 |
| abstract_inverted_index.most | 293, 308 |
| abstract_inverted_index.ray, | 343 |
| abstract_inverted_index.sent | 115 |
| abstract_inverted_index.than | 290, 326, 336 |
| abstract_inverted_index.that | 281, 307 |
| abstract_inverted_index.this | 46, 126 |
| abstract_inverted_index.type | 310 |
| abstract_inverted_index.used | 202 |
| abstract_inverted_index.well | 89 |
| abstract_inverted_index.were | 26, 36, 40, 80, 86, 100, 102, 176, 229, 236, 241, 253, 257, 332 |
| abstract_inverted_index.with | 74, 83, 187 |
| abstract_inverted_index.(Road | 301 |
| abstract_inverted_index..997. | 276 |
| abstract_inverted_index.24.0. | 217 |
| abstract_inverted_index.About | 23 |
| abstract_inverted_index.Study | 304 |
| abstract_inverted_index.There | 249 |
| abstract_inverted_index.X-Ray | 79 |
| abstract_inverted_index.X-ray | 105, 161, 207 |
| abstract_inverted_index.blunt | 14 |
| abstract_inverted_index.cause | 3, 295 |
| abstract_inverted_index.data. | 209 |
| abstract_inverted_index.date: | 352 |
| abstract_inverted_index.exact | 146 |
| abstract_inverted_index.falls | 12 |
| abstract_inverted_index.males | 242, 289 |
| abstract_inverted_index.means | 188 |
| abstract_inverted_index.plain | 58, 327, 337 |
| abstract_inverted_index.range | 167 |
| abstract_inverted_index.study | 47, 70, 226, 279 |
| abstract_inverted_index.those | 98 |
| abstract_inverted_index.where | 196 |
| abstract_inverted_index.which | 33, 233 |
| abstract_inverted_index.(7.7%) | 17 |
| abstract_inverted_index.0.436. | 248 |
| abstract_inverted_index.X-ray. | 138 |
| abstract_inverted_index.advice | 180 |
| abstract_inverted_index.causes | 250 |
| abstract_inverted_index.common | 287, 294, 309 |
| abstract_inverted_index.images | 151 |
| abstract_inverted_index.injury | 269 |
| abstract_inverted_index.males. | 41 |
| abstract_inverted_index.others | 19 |
| abstract_inverted_index.sports | 268 |
| abstract_inverted_index.square | 199 |
| abstract_inverted_index.study. | 127 |
| abstract_inverted_index.(25.0%) | 35, 235 |
| abstract_inverted_index.(75.0%) | 240 |
| abstract_inverted_index.1(1.2%) | 266 |
| abstract_inverted_index.2(2.4%) | 262 |
| abstract_inverted_index.8(9.5%) | 256 |
| abstract_inverted_index.P-value | 218 |
| abstract_inverted_index.Traffic | 302, 347 |
| abstract_inverted_index.because | 329 |
| abstract_inverted_index.compare | 204 |
| abstract_inverted_index.complex | 113 |
| abstract_inverted_index.consent | 96, 119 |
| abstract_inverted_index.entered | 212 |
| abstract_inverted_index.females | 37, 237 |
| abstract_inverted_index.injury, | 255 |
| abstract_inverted_index.keeping | 61 |
| abstract_inverted_index.surgery | 85 |
| abstract_inverted_index.testing | 200 |
| abstract_inverted_index.traffic | 8 |
| abstract_inverted_index.<0.05 | 219 |
| abstract_inverted_index.(11.6%), | 13 |
| abstract_inverted_index.(72.2%), | 11 |
| abstract_inverted_index.(Toshiba | 140 |
| abstract_inverted_index.Patients | 82 |
| abstract_inverted_index.Results: | 223 |
| abstract_inverted_index.declined | 93 |
| abstract_inverted_index.detected | 56, 333 |
| abstract_inverted_index.evaluate | 50 |
| abstract_inverted_index.excluded | 87 |
| abstract_inverted_index.females. | 291 |
| abstract_inverted_index.filming. | 160 |
| abstract_inverted_index.findings | 173 |
| abstract_inverted_index.fracture | 6, 75, 149, 252, 270, 313 |
| abstract_inverted_index.included | 27 |
| abstract_inverted_index.injuries | 15 |
| abstract_inverted_index.obtained | 122 |
| abstract_inverted_index.patients | 25, 73, 91, 124, 133, 228 |
| abstract_inverted_index.reviewed | 129 |
| abstract_inverted_index.standard | 190, 245, 273 |
| abstract_inverted_index.studies. | 30 |
| abstract_inverted_index.18(21.4%) | 254 |
| abstract_inverted_index.54(64.3%) | 260 |
| abstract_inverted_index.63(75.0%) | 39 |
| abstract_inverted_index.Accidents | 348 |
| abstract_inverted_index.Keywords: | 339 |
| abstract_inverted_index.September | 353 |
| abstract_inverted_index.accidents | 9 |
| abstract_inverted_index.according | 163 |
| abstract_inverted_index.concluded | 280 |
| abstract_inverted_index.concludes | 306 |
| abstract_inverted_index.detecting | 323 |
| abstract_inverted_index.deviation | 191, 246, 274 |
| abstract_inverted_index.efficient | 321 |
| abstract_inverted_index.excluded. | 104 |
| abstract_inverted_index.fracture, | 345 |
| abstract_inverted_index.fracture. | 317 |
| abstract_inverted_index.fractures | 55, 110, 264, 284, 298, 325, 331 |
| abstract_inverted_index.frequency | 52, 193 |
| abstract_inverted_index.included. | 81, 230 |
| abstract_inverted_index.objective | 44 |
| abstract_inverted_index.performed | 106, 143, 162 |
| abstract_inverted_index.reporting | 157 |
| abstract_inverted_index.standard. | 65 |
| abstract_inverted_index.underwent | 135 |
| abstract_inverted_index.Objective: | 42 |
| abstract_inverted_index.Statistics | 216 |
| abstract_inverted_index.Transverse | 315 |
| abstract_inverted_index.considered | 177, 220 |
| abstract_inverted_index.consultant | 182 |
| abstract_inverted_index.fractures, | 259 |
| abstract_inverted_index.pathologic | 263 |
| abstract_inverted_index.percentage | 195 |
| abstract_inverted_index.undergoing | 76 |
| abstract_inverted_index.Accidents). | 303 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.Conclusion: | 277 |
| abstract_inverted_index.Publication | 351 |
| abstract_inverted_index.appropriate | 166 |
| abstract_inverted_index.compression | 258 |
| abstract_inverted_index.qualitative | 208 |
| abstract_inverted_index.radiography | 59, 328 |
| abstract_inverted_index.represented | 186 |
| abstract_inverted_index.Methodology: | 66 |
| abstract_inverted_index.Non-enhanced | 340 |
| abstract_inverted_index.appropriate. | 197 |
| abstract_inverted_index.radiography. | 338 |
| abstract_inverted_index.radiologist. | 183 |
| abstract_inverted_index.significant. | 222 |
| abstract_inverted_index.reconstructed | 152 |
| abstract_inverted_index.uncooperative | 101 |
| abstract_inverted_index.cross-sectional | 69 |
| abstract_inverted_index.10.7176/JHMN/93-09 | 350 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.11731963 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |