Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography
Abstract Background Transcranial color-coded duplex ultrasonography (TCCD) is an important diagnostic tool in the investigation of cerebrovascular diseases. TCCD is often hampered by the temporal window that ultrasound cannot penetrate. Rapidly determine whether ultrasound can penetrate the temporal...
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| Format: | Article |
| Language: | English |
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BMC
2024-03-01
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| Series: | BMC Medical Imaging |
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| Online Access: | https://doi.org/10.1186/s12880-024-01233-4 |
| _version_ | 1797272739880370176 |
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| author | Jieyu Duan Pengfei Wang Haoyu Wang Wei Zhao |
| author_facet | Jieyu Duan Pengfei Wang Haoyu Wang Wei Zhao |
| author_sort | Jieyu Duan |
| collection | DOAJ |
| description | Abstract Background Transcranial color-coded duplex ultrasonography (TCCD) is an important diagnostic tool in the investigation of cerebrovascular diseases. TCCD is often hampered by the temporal window that ultrasound cannot penetrate. Rapidly determine whether ultrasound can penetrate the temporal window in order to determine whether to use other acoustic windows to complete the examination process. In this study, Skull thickness can be measured simultaneously during TCCD examination, which makes it possible to use skull thickness to rapidly determine whether the temporal window is penetrated by ultrasound. Methods This retrospective study included 301 patients with clinical symptoms of cerebrovascular diseases. These 301 patients were divided into an impenetrable temporal window (ITW) group and a penetrable temporal window group according to the results of the TCCD examination. Results The area under the receiver operating characteristic (ROC) curve (AUC) for skull thickness was 0.887 (cutoff value 1.045 cm). Following multivariate logistic regression, sex, age, and skull thickness were used to develop a nomogram. The AUC for the nomogram was 0.923 (cutoff value 0.407). Conclusions The skull thickness at the temporal window was measured by ultrasound, which was convenient and accurate. The probability of ITW in females was higher than that in males, and it increased with age. In this study, a prediction model incorporating sex, age and skull thickness could predict ITW probability well. If the patient’s temporal window was rapidly predicted as an ITW, other acoustic window examinations were used to complete the TCCD examination process to optimize the TCCD examination process of cerebrovascular diseases and facilitate the popularization of TCCD in clinical application. |
| first_indexed | 2024-03-07T14:34:33Z |
| format | Article |
| id | doaj.art-20c221e46d7b43f68f2e4acb2bd61c47 |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-03-07T14:34:33Z |
| publishDate | 2024-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-20c221e46d7b43f68f2e4acb2bd61c472024-03-05T20:44:03ZengBMCBMC Medical Imaging1471-23422024-03-012411910.1186/s12880-024-01233-4Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonographyJieyu Duan0Pengfei Wang1Haoyu Wang2Wei Zhao3Department of Ultrasound, The First Hospital of Hebei Medicine UniversityDepartment of neurosurgery, The Third Hospital of Hebei Medicine UniversityDepartment of Ultrasound, The First Hospital of Hebei Medicine UniversityDepartment of Ultrasound, The First Hospital of Hebei Medicine UniversityAbstract Background Transcranial color-coded duplex ultrasonography (TCCD) is an important diagnostic tool in the investigation of cerebrovascular diseases. TCCD is often hampered by the temporal window that ultrasound cannot penetrate. Rapidly determine whether ultrasound can penetrate the temporal window in order to determine whether to use other acoustic windows to complete the examination process. In this study, Skull thickness can be measured simultaneously during TCCD examination, which makes it possible to use skull thickness to rapidly determine whether the temporal window is penetrated by ultrasound. Methods This retrospective study included 301 patients with clinical symptoms of cerebrovascular diseases. These 301 patients were divided into an impenetrable temporal window (ITW) group and a penetrable temporal window group according to the results of the TCCD examination. Results The area under the receiver operating characteristic (ROC) curve (AUC) for skull thickness was 0.887 (cutoff value 1.045 cm). Following multivariate logistic regression, sex, age, and skull thickness were used to develop a nomogram. The AUC for the nomogram was 0.923 (cutoff value 0.407). Conclusions The skull thickness at the temporal window was measured by ultrasound, which was convenient and accurate. The probability of ITW in females was higher than that in males, and it increased with age. In this study, a prediction model incorporating sex, age and skull thickness could predict ITW probability well. If the patient’s temporal window was rapidly predicted as an ITW, other acoustic window examinations were used to complete the TCCD examination process to optimize the TCCD examination process of cerebrovascular diseases and facilitate the popularization of TCCD in clinical application.https://doi.org/10.1186/s12880-024-01233-4UltrasonographyCerebrovascular diseasesThicknessTemporal windowAge |
| spellingShingle | Jieyu Duan Pengfei Wang Haoyu Wang Wei Zhao Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography BMC Medical Imaging Ultrasonography Cerebrovascular diseases Thickness Temporal window Age |
| title | Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography |
| title_full | Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography |
| title_fullStr | Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography |
| title_full_unstemmed | Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography |
| title_short | Development of a prediction model for facilitating the clinical application of transcranial color-coded duplex ultrasonography |
| title_sort | development of a prediction model for facilitating the clinical application of transcranial color coded duplex ultrasonography |
| topic | Ultrasonography Cerebrovascular diseases Thickness Temporal window Age |
| url | https://doi.org/10.1186/s12880-024-01233-4 |
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