Multi-Slice Spiral Computed Tomography Image Features under Hybrid Iterative Reconstruction Algorithm in Staging Diagnosis of Bladder Cancer
Copyright © 2021 Lan Zang..
Objective: This study was aimed to explore the accuracy of multi-slice spiral computed tomography (CT) scan in preoperative staging diagnosis of bladder cancer based on hybrid iterative reconstruction algorithm, so as to provide a more reasonable supporting basis for guiding clinical work in the future.
Methods: Retrospectively, 120 patients admitted to hospital from July 2019 to April 2021, who were confirmed to be with urothelial carcinoma of the bladder by pathological examination after surgical treatment, were selected. CT images before processing were set as the control group and those after processing were set as the observation group according to whether they were processed by the hybrid iterative algorithm. Postoperative pathological examination was utilized as the standard for analysis. The accuracy and consistency of the two methods were compared.
Results: The accuracy of the results of each stage of the observation group (T1 stage: 91.09%, T2 stage: 89.66%, T3 stage: 88.89%, and T4 stage: 88.89%) and consistency (T1 stage: 0.66, T2 stage: 0.69, T3 stage: 0.71, and T4 stage: 0.82) were higher than those of the control group (accuracy: T1-57.01%, T2-48.28%, T3-44.44%, and T4-44.44%). The consistency was as follows: T1-0.32, T2-0.24, T3-0.37, and T4-0.43, and the comparison was statistically significant (P < 0.05).
Conclusion: The adoption value of the image features based on the hybrid iterative reconstruction algorithm in the diagnosis of bladder cancer staging was higher than that of the conventional multi-slice spiral CT, indicating that the hybrid iterative reconstruction algorithm had a good adoption prospect in clinical examination.
| Errataetall: |
RetractionIn: J Healthc Eng. 2023 Oct 11;2023:9791241. - PMID 37860448 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2021 |
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| Enthalten in: |
Journal of healthcare engineering - 2021(2021) vom: 11., Seite 7733654 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zang, Lan [VerfasserIn] |
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| Anmerkungen: |
Date Completed 08.03.2022 Date Revised 20.10.2023 published: Electronic-eCollection RetractionIn: J Healthc Eng. 2023 Oct 11;2023:9791241. - PMID 37860448 Citation Status MEDLINE |
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| doi: |
10.1155/2021/7733654 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM332835545 |
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| 500 | |a Date Revised 20.10.2023 | ||
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| 500 | |a RetractionIn: J Healthc Eng. 2023 Oct 11;2023:9791241. - PMID 37860448 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2021 Lan Zang. | ||
| 520 | |a Objective: This study was aimed to explore the accuracy of multi-slice spiral computed tomography (CT) scan in preoperative staging diagnosis of bladder cancer based on hybrid iterative reconstruction algorithm, so as to provide a more reasonable supporting basis for guiding clinical work in the future | ||
| 520 | |a Methods: Retrospectively, 120 patients admitted to hospital from July 2019 to April 2021, who were confirmed to be with urothelial carcinoma of the bladder by pathological examination after surgical treatment, were selected. CT images before processing were set as the control group and those after processing were set as the observation group according to whether they were processed by the hybrid iterative algorithm. Postoperative pathological examination was utilized as the standard for analysis. The accuracy and consistency of the two methods were compared | ||
| 520 | |a Results: The accuracy of the results of each stage of the observation group (T1 stage: 91.09%, T2 stage: 89.66%, T3 stage: 88.89%, and T4 stage: 88.89%) and consistency (T1 stage: 0.66, T2 stage: 0.69, T3 stage: 0.71, and T4 stage: 0.82) were higher than those of the control group (accuracy: T1-57.01%, T2-48.28%, T3-44.44%, and T4-44.44%). The consistency was as follows: T1-0.32, T2-0.24, T3-0.37, and T4-0.43, and the comparison was statistically significant (P < 0.05) | ||
| 520 | |a Conclusion: The adoption value of the image features based on the hybrid iterative reconstruction algorithm in the diagnosis of bladder cancer staging was higher than that of the conventional multi-slice spiral CT, indicating that the hybrid iterative reconstruction algorithm had a good adoption prospect in clinical examination | ||
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