Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients
AbstractBackground The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients an...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Renal Failure |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2322043 |
| _version_ | 1797289580214353920 |
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| author | Xumeng Liu Huiwen Fang Dongmei Liang Qunjuan Lei Jiaping Wang Feng Xu Shaoshan Liang Dandan Liang Fan Yang Heng Li Jianghua Chen Yuan Ni Guotong Xie Caihong Zeng |
| author_facet | Xumeng Liu Huiwen Fang Dongmei Liang Qunjuan Lei Jiaping Wang Feng Xu Shaoshan Liang Dandan Liang Fan Yang Heng Li Jianghua Chen Yuan Ni Guotong Xie Caihong Zeng |
| author_sort | Xumeng Liu |
| collection | DOAJ |
| description | AbstractBackground The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients and broaden its implementation.Methods Biopsy-proven allograft IgAN patients from two different centers were enrolled for internal and external validation. We implemented the ARPS to identify glomerular lesions and intrinsic glomerular cells, and then evaluated its performance. Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. The association of digital pathological features with clinical and pathological data was measured. Kaplan-Meier survival curve and cox proportional hazards model were applied to investigate prognosis prediction.Results A total of 56 biopsy-proven allograft IgAN patients from the internal center and 17 biopsy-proven allograft IgAN patients from the external center were enrolled in this study. The ARPS was successfully applied to identify the glomerular lesions (F1-score, 0.696–0.959) and quantify intrinsic glomerular cells (F1-score, 0.888–0.968) in allograft IgAN patients rapidly and precisely. Furthermore, the mesangial hypercellularity score was positively correlated with all mesangial metrics provided by ARPS [Spearman’s correlation coefficient (r), 0.439–0.472, and all p values < 0.001]. Besides, a higher allograft survival was noticed among patients in the high-level groups of the maximum and ratio of endothelial cells, as well as the maximum and density of podocytes.Conclusion We propose that the ARPS could be implemented in future clinical practice with outstanding capability. |
| first_indexed | 2024-03-07T19:07:10Z |
| format | Article |
| id | doaj.art-2bf9974e0cdb4fc4be17b35f130ba8a2 |
| institution | Directory Open Access Journal |
| issn | 0886-022X 1525-6049 |
| language | English |
| last_indexed | 2024-03-07T19:07:10Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj.art-2bf9974e0cdb4fc4be17b35f130ba8a22024-03-01T06:29:40ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492024-12-0146110.1080/0886022X.2024.2322043Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patientsXumeng Liu0Huiwen Fang1Dongmei Liang2Qunjuan Lei3Jiaping Wang4Feng Xu5Shaoshan Liang6Dandan Liang7Fan Yang8Heng Li9Jianghua Chen10Yuan Ni11Guotong Xie12Caihong Zeng13National Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaPing An Healthcare Technology, Shanghai, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaKidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, ChinaKidney Disease Center, First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, ChinaPing An Healthcare Technology, Shanghai, ChinaPing An Healthcare Technology, Shanghai, ChinaNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, ChinaAbstractBackground The analytical renal pathology system (ARPS) based on convolutional neural networks has been used successfully in native IgA nephropathy (IgAN) patients. Considering the similarity of pathologic features, we aim to evaluate the performance of the ARPS in allograft IgAN patients and broaden its implementation.Methods Biopsy-proven allograft IgAN patients from two different centers were enrolled for internal and external validation. We implemented the ARPS to identify glomerular lesions and intrinsic glomerular cells, and then evaluated its performance. Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. The association of digital pathological features with clinical and pathological data was measured. Kaplan-Meier survival curve and cox proportional hazards model were applied to investigate prognosis prediction.Results A total of 56 biopsy-proven allograft IgAN patients from the internal center and 17 biopsy-proven allograft IgAN patients from the external center were enrolled in this study. The ARPS was successfully applied to identify the glomerular lesions (F1-score, 0.696–0.959) and quantify intrinsic glomerular cells (F1-score, 0.888–0.968) in allograft IgAN patients rapidly and precisely. Furthermore, the mesangial hypercellularity score was positively correlated with all mesangial metrics provided by ARPS [Spearman’s correlation coefficient (r), 0.439–0.472, and all p values < 0.001]. Besides, a higher allograft survival was noticed among patients in the high-level groups of the maximum and ratio of endothelial cells, as well as the maximum and density of podocytes.Conclusion We propose that the ARPS could be implemented in future clinical practice with outstanding capability.https://www.tandfonline.com/doi/10.1080/0886022X.2024.2322043Deep learningallograft IgANglomerular lesionintrinsic glomerular celloutcome |
| spellingShingle | Xumeng Liu Huiwen Fang Dongmei Liang Qunjuan Lei Jiaping Wang Feng Xu Shaoshan Liang Dandan Liang Fan Yang Heng Li Jianghua Chen Yuan Ni Guotong Xie Caihong Zeng Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients Renal Failure Deep learning allograft IgAN glomerular lesion intrinsic glomerular cell outcome |
| title | Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients |
| title_full | Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients |
| title_fullStr | Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients |
| title_full_unstemmed | Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients |
| title_short | Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients |
| title_sort | advancing the application of the analytical renal pathology system in allograft iga nephropathy patients |
| topic | Deep learning allograft IgAN glomerular lesion intrinsic glomerular cell outcome |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2322043 |
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