Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline?
ObjectiveTo improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs).MethodsThis study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87...
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| Format: | Article |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1004690/full |
| _version_ | 1811251427257876480 |
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| author | Anqin Li Shichao Li Yao Hu Yaqi Shen Xuemei Hu Daoyu Hu Ihab R. Kamel Zhen Li |
| author_facet | Anqin Li Shichao Li Yao Hu Yaqi Shen Xuemei Hu Daoyu Hu Ihab R. Kamel Zhen Li |
| author_sort | Anqin Li |
| collection | DOAJ |
| description | ObjectiveTo improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs).MethodsThis study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87 patients with DWI (b = 600, 1000 s/mm2). Clinical variables and histopathological results were recorded. Two radiologists in consensus analyzed images of each lesion for the size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, signal intensity on DWI, calcification, and cyst content. Clinical variables, CT and MRI image characteristics were compared with pathology or follow-up results to evaluate the diagnostic performance for CRMs.ResultsOf the 130 lesions in 125 patients, histological analysis reported that 36 were malignant, 38 were benign, and no change was found in 56 followed-up lesions (mean follow-up of 24 months). The incidences of cystic wall thickened, more septa, measurable enhancement of wall/septum, nodule(s) on CT/MRI, and high signal intensity on DWI were significantly higher in malignant than in benign CRMs (CT: p = 0.005, p < 0.001, p < 0.001, p < 0.001, p < 0.001; MRI: p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001). Combination of MRI including DWI features with CT findings showed the highest area under ROC curve (0.973) in distinguishing benign and malignant CRMs.ConclusionsIncorporating DWI characteristic of CRMs into Bosniak classification helps to improve diagnostic efficiency. |
| first_indexed | 2024-04-12T16:20:17Z |
| format | Article |
| id | doaj.art-bf478748eddc4fbd8c1cb3864da8c71b |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-12T16:20:17Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-bf478748eddc4fbd8c1cb3864da8c71b2022-12-22T03:25:36ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-10-011210.3389/fonc.2022.10046901004690Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline?Anqin Li0Shichao Li1Yao Hu2Yaqi Shen3Xuemei Hu4Daoyu Hu5Ihab R. Kamel6Zhen Li7Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United StatesDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaObjectiveTo improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs).MethodsThis study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87 patients with DWI (b = 600, 1000 s/mm2). Clinical variables and histopathological results were recorded. Two radiologists in consensus analyzed images of each lesion for the size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, signal intensity on DWI, calcification, and cyst content. Clinical variables, CT and MRI image characteristics were compared with pathology or follow-up results to evaluate the diagnostic performance for CRMs.ResultsOf the 130 lesions in 125 patients, histological analysis reported that 36 were malignant, 38 were benign, and no change was found in 56 followed-up lesions (mean follow-up of 24 months). The incidences of cystic wall thickened, more septa, measurable enhancement of wall/septum, nodule(s) on CT/MRI, and high signal intensity on DWI were significantly higher in malignant than in benign CRMs (CT: p = 0.005, p < 0.001, p < 0.001, p < 0.001, p < 0.001; MRI: p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001). Combination of MRI including DWI features with CT findings showed the highest area under ROC curve (0.973) in distinguishing benign and malignant CRMs.ConclusionsIncorporating DWI characteristic of CRMs into Bosniak classification helps to improve diagnostic efficiency.https://www.frontiersin.org/articles/10.3389/fonc.2022.1004690/fullcystic renal massBosniak classificationmagnetic resonance imagingdiffusion weighted imagingdiagnostic performance |
| spellingShingle | Anqin Li Shichao Li Yao Hu Yaqi Shen Xuemei Hu Daoyu Hu Ihab R. Kamel Zhen Li Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? Frontiers in Oncology cystic renal mass Bosniak classification magnetic resonance imaging diffusion weighted imaging diagnostic performance |
| title | Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? |
| title_full | Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? |
| title_fullStr | Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? |
| title_full_unstemmed | Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? |
| title_short | Bosniak classification of cystic renal masses, version 2019: Is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline? |
| title_sort | bosniak classification of cystic renal masses version 2019 is it helpful to incorporate the diffusion weighted imaging characteristic of lesions into the guideline |
| topic | cystic renal mass Bosniak classification magnetic resonance imaging diffusion weighted imaging diagnostic performance |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1004690/full |
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