Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients
Objective: To evaluate the image quality of low-dose temporal bone computed tomography (CT) in otitis media and mastoiditis patients by using deep learning reconstruction (DLR). Materials and methods: A total of ninety-seven temporal bones from 53 consecutive adult patients who had suspected otitis...
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| Language: | English |
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Elsevier
2024-01-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023100181 |
| _version_ | 1797337086978686976 |
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| author | Tian-Jiao Wang Yun Wang Zhu-Hua Zhang Ming Wang Man Wang Tong Su Ying-Hao Xu Zhuang-Fei Ma Jian Wang Yu Chen Zheng-Yu Jin |
| author_facet | Tian-Jiao Wang Yun Wang Zhu-Hua Zhang Ming Wang Man Wang Tong Su Ying-Hao Xu Zhuang-Fei Ma Jian Wang Yu Chen Zheng-Yu Jin |
| author_sort | Tian-Jiao Wang |
| collection | DOAJ |
| description | Objective: To evaluate the image quality of low-dose temporal bone computed tomography (CT) in otitis media and mastoiditis patients by using deep learning reconstruction (DLR). Materials and methods: A total of ninety-seven temporal bones from 53 consecutive adult patients who had suspected otitis media and mastoiditis and underwent temporal bone CT were prospectively enrolled. All patients underwent high resolution CT protocol (group A) and an additional low-dose protocol (group B). In group A, high resolution data were reconstructed by filter back projection (FBP). In group B, low-dose data were reconstructed by DLR mild (B1), DLR standard (B2) and DLR strong (B3). The objective image quality was analyzed by measuring the CT value and image noise on the transverse image and calculating the signal-to-noise ratio (SNR) on incudomallear joint, retroauricular muscle, vestibule and subcutaneous fat. Subjective image quality was analyzed by using a five-point scale to evaluate nine anatomical structures of middle and inner ear. The number of temporal bone lesions which involved in five structures of middle ear were assessed in group A, B1, B2 and B3 images. Results: There were no significant differences in the CT values of the four reconstruction methods at four structures (all p > 0.05). The DLR group B1, B2 and B3 had significantly less image noise and a significantly higher SNR than group A at four structures (all p < 0.001). The group B1 had comparable subjective image quality as group A in nine structures (all p > 0.05), however, the group B3 had lower subjective image quality than group A in modiolus, spiral osseous lamina and stapes (all p < 0.001), the group B2 had lower subjective image quality than group A in modiolus and spiral osseous lamina (both p < 0.05). The number of temporal bone lesions which involved in five structures for group A, B1 and B2 images were no significant difference (all p > 0.05), however, the number of temporal bone lesions which involved in mastoid for group B3 images were significantly more than group A (p < 0.05). The radiation dose of high resolution CT protocol and low-dose protocol were 0.55 mSv and 0.11 mSv, respectively. Conclusion: Compared with high resolution CT protocol, in the low-dose protocol of temporal bone CT, DLR mild and standard could improve the objective image quality, maintain good subjective image quality and satisfy clinical diagnosis of otitis media and mastoiditis patients. |
| first_indexed | 2024-03-08T09:04:21Z |
| format | Article |
| id | doaj.art-5338d559dfd64e0a8580eec657a88991 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T09:04:21Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
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| spelling | doaj.art-5338d559dfd64e0a8580eec657a889912024-02-01T06:30:17ZengElsevierHeliyon2405-84402024-01-01101e22810Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patientsTian-Jiao Wang0Yun Wang1Zhu-Hua Zhang2Ming Wang3Man Wang4Tong Su5Ying-Hao Xu6Zhuang-Fei Ma7Jian Wang8Yu Chen9Zheng-Yu Jin10Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, ChinaCanon Medical Systems (China) CO., LTD., Building 205, Yard NO. A10, JiuXianQiao North Road, Beijing, 100015, ChinaCanon Medical Systems (China) CO., LTD., Building 205, Yard NO. A10, JiuXianQiao North Road, Beijing, 100015, ChinaCanon Medical Systems (China) CO., LTD., Building 205, Yard NO. A10, JiuXianQiao North Road, Beijing, 100015, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China; Corresponding author.Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730, China; Corresponding author.Objective: To evaluate the image quality of low-dose temporal bone computed tomography (CT) in otitis media and mastoiditis patients by using deep learning reconstruction (DLR). Materials and methods: A total of ninety-seven temporal bones from 53 consecutive adult patients who had suspected otitis media and mastoiditis and underwent temporal bone CT were prospectively enrolled. All patients underwent high resolution CT protocol (group A) and an additional low-dose protocol (group B). In group A, high resolution data were reconstructed by filter back projection (FBP). In group B, low-dose data were reconstructed by DLR mild (B1), DLR standard (B2) and DLR strong (B3). The objective image quality was analyzed by measuring the CT value and image noise on the transverse image and calculating the signal-to-noise ratio (SNR) on incudomallear joint, retroauricular muscle, vestibule and subcutaneous fat. Subjective image quality was analyzed by using a five-point scale to evaluate nine anatomical structures of middle and inner ear. The number of temporal bone lesions which involved in five structures of middle ear were assessed in group A, B1, B2 and B3 images. Results: There were no significant differences in the CT values of the four reconstruction methods at four structures (all p > 0.05). The DLR group B1, B2 and B3 had significantly less image noise and a significantly higher SNR than group A at four structures (all p < 0.001). The group B1 had comparable subjective image quality as group A in nine structures (all p > 0.05), however, the group B3 had lower subjective image quality than group A in modiolus, spiral osseous lamina and stapes (all p < 0.001), the group B2 had lower subjective image quality than group A in modiolus and spiral osseous lamina (both p < 0.05). The number of temporal bone lesions which involved in five structures for group A, B1 and B2 images were no significant difference (all p > 0.05), however, the number of temporal bone lesions which involved in mastoid for group B3 images were significantly more than group A (p < 0.05). The radiation dose of high resolution CT protocol and low-dose protocol were 0.55 mSv and 0.11 mSv, respectively. Conclusion: Compared with high resolution CT protocol, in the low-dose protocol of temporal bone CT, DLR mild and standard could improve the objective image quality, maintain good subjective image quality and satisfy clinical diagnosis of otitis media and mastoiditis patients.http://www.sciencedirect.com/science/article/pii/S2405844023100181Deep learningTemporal boneRadiation dosageMultidetector computed tomographyOtitis mediaMastoiditis |
| spellingShingle | Tian-Jiao Wang Yun Wang Zhu-Hua Zhang Ming Wang Man Wang Tong Su Ying-Hao Xu Zhuang-Fei Ma Jian Wang Yu Chen Zheng-Yu Jin Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients Heliyon Deep learning Temporal bone Radiation dosage Multidetector computed tomography Otitis media Mastoiditis |
| title | Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients |
| title_full | Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients |
| title_fullStr | Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients |
| title_full_unstemmed | Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients |
| title_short | Deep learning reconstruction improves the image quality of low-dose temporal bone CT with otitis media and mastoiditis patients |
| title_sort | deep learning reconstruction improves the image quality of low dose temporal bone ct with otitis media and mastoiditis patients |
| topic | Deep learning Temporal bone Radiation dosage Multidetector computed tomography Otitis media Mastoiditis |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023100181 |
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