Deep learning radiomics-based preoperative prediction of recurrence in chronic rhinosinusitis Article Swipe
Shaojuan He
,
Wei Chen
,
Xuehai Wang
,
Xinyu Xie
,
Fangying Liu
,
Xinyi Ma
,
Xuezhong Li
,
Anning Li
,
Xin Feng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.isci.2023.106527
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.isci.2023.106527
Chronic rhinosinusitis (CRS) is characterized by poor prognosis and propensity for recurrence even after surgery. Identification of those CRS patients with high risk of relapse preoperatively will contribute to personalized treatment recommendations. In this paper, we proposed a multi-task deep learning network for sinus segmentation and CRS recurrence prediction simultaneously to develop and validate a deep learning radiomics-based nomogram for preoperatively predicting recurrence in CRS patients who needed surgical treatment. 265 paranasal sinuses computed tomography (CT) images of CRS from two independent medical centers were analyzed to build and test models. The sinus segmentation model achieved good segmentation results. Furthermore, the nomogram combining a deep learning signature and clinical factors also showed excellent recurrence prediction ability for CRS. Our study not only facilitates a technique for sinus segmentation but also provides a noninvasive method for preoperatively predicting recurrence in patients with CRS.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.isci.2023.106527
- OA Status
- gold
- Cited By
- 14
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361264070
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361264070Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.isci.2023.106527Digital Object Identifier
- Title
-
Deep learning radiomics-based preoperative prediction of recurrence in chronic rhinosinusitisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-30Full publication date if available
- Authors
-
Shaojuan He, Wei Chen, Xuehai Wang, Xinyu Xie, Fangying Liu, Xinyi Ma, Xuezhong Li, Anning Li, Xin FengList of authors in order
- Landing page
-
https://doi.org/10.1016/j.isci.2023.106527Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.isci.2023.106527Direct OA link when available
- Concepts
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Nomogram, Medicine, Radiomics, Endoscopic sinus surgery, Segmentation, Deep learning, Radiology, Sinus (botany), Artificial intelligence, Surgery, Internal medicine, Computer science, Botany, Biology, GenusTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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