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Guo HP, Xu W, Hao YW, Kang HH, Zhang XJ, Ding XH, Zhao J, Bai X, Zhou SP, Ye HY, Wang HY. Differentiating mixed epithelial and stromal tumor family from predominantly cystic renal cell carcinoma using magnetic resonance imaging-based Bosniak classification system version 2019. Jpn J Radiol 2024; 42:1021-1030. [PMID: 38767732 DOI: 10.1007/s11604-024-01588-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 05/01/2024] [Indexed: 05/22/2024]
Abstract
PURPOSE To differentiate mixed epithelial and stromal tumor family (MESTF) of the kidney from predominantly cystic renal cell carcinoma (RCC) using the magnetic resonance imaging (MRI)-based Bosniak classification system version 2019 (v2019). MATERIALS AND METHODS The study included 36 consecutive patients with MESTF and 77 with predominantly cystic RCC who underwent preoperative renal MRI. One radiologist evaluated and documented the clinical and MRI characteristics (age, sex, laterality, R.E.N.A.L. Nephrometry Score [RNS], surgical approach, the signal intensity on T2-weighted imaging, restricted diffusion and enhancement features in corticomedullary phase). Blinded to clinical and pathological information, another two radiologists independently evaluated Bosniak category of all masses. Interobserver agreement based on Bosniak classification system v2019 was measured by the weighted Cohen/Conger's Kappa coefficient. Furthermore, predominantly cystic RCCs and MESTFs were divided into low (categories I, II, and IIF) and high-class (categories III, and IV) tumors. The independent sample t test (Mann-Whitney U test) or Pearson Chi-square test (Fisher's exact probability test) was utilized to compare clinical and imaging characteristics between MESTFs and predominantly cystic RCCs. The performance of the Bosniak classification system v2019 in distinguishing MESTF from predominantly cystic RCC was investigated via receiver operating characteristic curve analysis. RESULTS MESTF and predominantly cystic RCC groups significantly differed in terms of age, lesion size, RNS, restricted diffusion, and obvious enhancement in corticomedullary phase, but not sex, laterality, surgical approach, and the signal intensity on T2WI. Interobserver agreement was substantially based on the Bosniak classification system v2019. There were 24 low-class tumors and 12 high-class tumors in the MESTF group. Meanwhile, 13 low-class tumors and 64 high-class tumors were observed in the predominantly cystic RCC group. The distribution of low- or high-class tumors significantly differed between the MESTF and predominantly cystic RCC groups. Bosniak classification system v2019 had excellent discrimination (cutoff value = category III), and an area under curve value was 0.81; accuracy, 80.5%; sensitivity, 87.0%; and specificity, 66.7%. CONCLUSION The MRI-based Bosniak classification system v2019 can effectively distinguish MESTF from predominantly cystic RCC if category III was used as a cutoff reference.
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Affiliation(s)
- Hui-Ping Guo
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Wei Xu
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Yu-Wei Hao
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Huan-Huan Kang
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xiao-Jing Zhang
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xiao-Hui Ding
- Department of Pathology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Jian Zhao
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xu Bai
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Shao-Peng Zhou
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Hui-Yi Ye
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Hai-Yi Wang
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, China.
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Nikolić G, Simić L, Životić M, Stefanović J, Mioljević A, Ćuković L, Mijajlović V, Jovanović M, Jevtić J, Radojević Škodrić S. Myopericytoma/myofibroma as a stromal component of mixed epithelial and stromal tumor of the kidney: A case report. Exp Ther Med 2024; 28:322. [PMID: 38939172 PMCID: PMC11208761 DOI: 10.3892/etm.2024.12610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/30/2024] [Indexed: 06/29/2024] Open
Abstract
Mixed epithelial and stromal tumors (MESTs) of the kidney are rare renal neoplasms, primarily affecting middle-aged women. These tumors are characterized by a mix of epithelial and stromal components. While generally benign, MESTs require accurate diagnosis and appropriate management due to the potential for malignant transformation. The present study reports the case of a 75-year-old male patient who underwent a partial nephrectomy following the incidental discovery of a kidney tumor. Histopathological examination revealed a partially cystic tumor with solid areas, measuring 26 mm in diameter. The tumor had cysts lined with cuboidal cells and an ovarian-like stroma. The solid component consisted of elongated cells with eosinophilic cytoplasm and oval nuclei, showing angiocentric growth around small blood vessels without nuclear atypia or mitoses. Since the morphology of the solid component could not reveal the differentiation of those cells, immunohistochemical staining was performed and a myopericytoma/myofibroma component was established, mostly based on the positivity of smooth muscle actin, muscle-specific actin, h-caldesmon, estrogen receptor, progesterone receptor, solute carrier family 2 facilitated glucose transporter member 1 and collagen IV, along with a lack of staining for desmin, CD34, CD31 and CD99. Thus, to the best of our knowledge, for the first time in the literature, MEST with myopericytoma/myofibroma stromal component in a male patient was reported.
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Affiliation(s)
- Gorana Nikolić
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Ljubica Simić
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Maja Životić
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Jelena Stefanović
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Ana Mioljević
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Ljubica Ćuković
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Vladimir Mijajlović
- Department of Histopathology, University Clinical Centre of Serbia, Belgrade 11000, Republic of Serbia
| | - Milena Jovanović
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Jovan Jevtić
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
| | - Sanja Radojević Škodrić
- Institute of Pathology ‘Dr Đorđe Joannović’, Faculty of Medicine, University of Belgrade, Belgrade 11000, Republic of Serbia
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