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Single-Site Sutureless Partial Nephrectomy for Small Exophytic Renal Tumors. J Clin Med 2020; 9:jcm9113658. [PMID: 33203025 PMCID: PMC7697908 DOI: 10.3390/jcm9113658] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/04/2020] [Accepted: 11/10/2020] [Indexed: 01/20/2023] Open
Abstract
Partial nephrectomy (PN) is the standard procedure for most patients with localized renal cancer. Laparoscopy has become the preferred surgical approach to target this cancer, but the steep learning curve with laparoscopic PN (LPN) remains a concern. In LPN intracorporeal suturing, the operation time is further extended even under robot assistance, a step which prolongs warm ischemic time. Herein, we shared our experience to reduce the warm ischemia time, which allows surgeons to perform LPN more easily by using a combination of hemostatic agents to safely control parenchymal bleeding. Between 2015 and 2018, we enrolled 52 patients who underwent LPN in our hospital. Single-site sutureless LPN and traditional suture methods were performed in 33 and 19 patients, respectively. Preoperative, intra-operative, and postoperative variables were recorded. Renal function was evaluated by estimated glomerular filtration rate (eGFR) pre- and postoperatively. The average warm ischemia time (sutureless vs. suture group; 11.8 ± 3.9 vs. 21.2 ± 7.2 min, p < 0.001) and the operation time (167.9 ± 37.5 vs. 193.7 ± 42.5 min, p = 0.035) were significantly shorter in the sutureless group. In the sutureless group, only 2 patients suffered from massive urinary leakage (>200 mL/day) from the Jackson Pratt drainage tube, but the leakage spontaneously decreased within 7 days after surgery. eGFR and serum hemoglobin were not found to be significantly different pre- and postoperatively. All tumors were removed without a positive surgical margin. All patients were alive without recurrent tumors at mean postoperative follow-ups of 29.3 ± 12.2 months. Single-site sutureless LPN is a feasible surgical method for most patients with small exophytic renal cancer with excellent cosmetic results without affecting oncological results.
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Feng Z, Lou S, Zhang L, Zhang L, Lan W, Wang M, Shen Q, Hu Z, Chen F. New Preoperative Nomogram Using the Centrality Index to Predict High Nuclear Grade Clear Cell Renal Carcinoma. Cancer Manag Res 2019; 11:10921-10928. [PMID: 32099456 PMCID: PMC6997223 DOI: 10.2147/cmar.s229571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 12/02/2019] [Indexed: 01/15/2023] Open
Abstract
Objective Nuclear grading is an independent prognosis factor of clear-cell renal cell carcinoma (ccRCC). A non-invasive preoperative predictive WHO/International Society of Urologic Pathology (WHO/ISUP) grading of ccRCC model is needed for clinical use. The anatomical complexity scoring system can span a variety of image modalities. The Centrality index (CI) is a quantitatively anatomical score commonly used for renal tumors. The purpose of this study was to develop a simple model to predict WHO/ISUP grading based on CI. Materials and methods The data in this study were from 248 ccRCC patients from five hospitals. We developed three predictive models using training data from 167 patients: a CI-only model, a valuable clinical parameter model and a fusion model of CI with valuable clinical parameters. We compared and evaluated the three models by discrimination, clinical usefulness and calibration, then tested them in a set of validation data from 81 patients. Results The fusion model consisting of CI and tumor size (valuable clinical parameter) had an area under the curve (AUC) of 0.82. In the validation set, the AUC was 0.85. The decision curve showed that the model had a good net benefit between the threshold probabilities of 5–80%. And the calibration curve showed good calibration in the training set and validation set. Conclusion This study confirms that CI is associated with the WHO/ISUP grade of ccRCC, and the possibility that a bivariate model incorporating tumor size may help urologist’s evaluation patients’ prognostic.
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Affiliation(s)
- Zhan Feng
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People's Republic of China
| | - Shuangshuang Lou
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People's Republic of China
| | - Lixia Zhang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People's Republic of China
| | - Liang Zhang
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou 310003, People's Republic of China
| | - Wenting Lan
- Department of Radiology, Ningbo First Hospital, Ningbo 315000, People's Republic of China
| | - Minhong Wang
- Department of Radiology, Yijishan Hospital of Wannan Medical College, Wuhu 241000, People's Republic of China
| | - Qijun Shen
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou 310003, People's Republic of China
| | - Zhengyu Hu
- Department of Radiology, Second People's Hospital of Yuhang District, Hangzhou 310003, People's Republic of China
| | - Feng Chen
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People's Republic of China
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Matsumoto R, Abe T, Shinohara N, Murai S, Maruyama S, Tsuchiya K, Nonomura K. RENAL nephrometry score is a predictive factor for the annual growth rate of renal mass. Int J Urol 2014; 21:549-52. [PMID: 24405437 DOI: 10.1111/iju.12388] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Accepted: 12/02/2013] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To evaluate the association between the RENAL nephrometry score and annual growth rates of renal masses presumed to be renal cell carcinoma. METHODS The current study included 47 renal tumors followed up for at least 12 months, of which 26 tumors were found to be pathologically proven renal cell carcinomas. Annual tumor growth rates were calculated from changes in the maximal diameter on computed tomography, and RENAL nephrometry scores were recorded on initial imaging by two senior urologists. The associations between clinical characteristics including the RENAL nephrometry score and annual growth rates were analyzed using a linear regression model. RESULTS The median tumor size at diagnosis was 1.7 cm (range 0.6-5.8). The median nephrometry score at diagnosis was 7 (range 4-10). Overall, the median tumor growth rate was 0.34 cm per year (range -0.19-2.0). Linear regression analysis showed that the annual tumor growth rate was associated with the RENAL nephrometry score (P < 0.0001), but it was independent of the age at diagnosis, sex and initial tumor size. In addition, the correlation between the RENAL nephrometry score and annual growth rate remained significant in the 26 pathologically proven renal cell carcinomas. CONCLUSIONS The RENAL nephrometry score is associated with the annual growth rate of renal masses. Our findings further support the association between the RENAL nephrometry score and tumor biology.
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Affiliation(s)
- Ryuji Matsumoto
- Department of Urology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
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Wang HK, Zhu Y, Yao XD, Zhang SL, Dai B, Zhang HL, Shen YJ, Wang CF, Ye DW. External Validation of a Nomogram Using RENAL Nephrometry Score to Predict High Grade Renal Cell Carcinoma. J Urol 2012; 187:1555-60. [DOI: 10.1016/j.juro.2011.12.099] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2011] [Indexed: 01/20/2023]
Affiliation(s)
- Hong-Kai Wang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Xu-Dong Yao
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Shi-Lin Zhang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Bo Dai
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Hai-Liang Zhang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yi-Jun Shen
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Chao-Fu Wang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Ding-Wei Ye
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
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Abstract
Objectives: To evaluate the role and feasibility of observation with regard to the small renal mass. Methods: We performed a literature search of MEDLINE, reviewing the world literature relevant to the natural history, role of percutaneous biopsy and surveillance of the small renal mass. Results: The average yearly growth rate of most small renal masses ranges from 0.1 to 0.70 cm/yr with obvious exceptions. Clinical predictors of growth such as radiographic size at presentation, age, gender and tumor characteristics are not reliable. Approximately 1% develops metastatic disease while under surveillance. Contemporary series of percutaneous biopsy of small renal masses report sensitivity for malignancy to be 90%-98%. However, false-negative results can occur. For the majority of patients, the gold standard remains surgical extirpation. Conclusions: Watchful waiting is an acceptable option for management of small renal masses in the surgically unfit and elderly population. More information regarding the natural history and metastatic potential of small renal masses is needed. Percutaneous needle biopsy can be successful in detecting malignancy in selected patients with small renal masses. The role of needle biopsy for the small renal mass continues to evolve
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Affiliation(s)
- K Clint Cary
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
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