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Huang Y, Gao M, Wang Y, Zheng R, Yin S, Liu H, Zou X, Luo X, Xiong L, Zhou Z, Peng Y, Zhou F, Han H, Guo S, Dong P, Dong W, Zhang Z. Can parenchymal volume analysis replace nuclear renal scans for split renal function before and after partial nephrectomy with warm ischemia? Urol Oncol 2025; 43:394.e1-394.e8. [PMID: 39799091 DOI: 10.1016/j.urolonc.2024.12.271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Revised: 12/07/2024] [Accepted: 12/23/2024] [Indexed: 01/15/2025]
Abstract
BACKGROUND The assessment of split renal function (SRF) before and after partial nephrectomy (PN) is crucial. While nuclear renal scan (NRS) is a traditional method for evaluating SRF, its extensive use is hindered by concerns regarding radioactivity. Parenchymal volume analysis (PVA) has been employed to assess SRF for kidney donors. Nonetheless, the efficacy of PVA in evaluating SRF in kidneys with renal masses before and after PN with warm ischemia remains uncertain. AIM The current study probed into the potential of PVA as a substitute for NRS in assessing SRF before and after PN with warm ischemia. METHODS This study included 318 patients who underwent unilateral PN with warm ischemia at Sun Yat-Sen University Cancer Center (SYSUCC) and had a functional contralateral kidney. All patients underwent PVA and NRS assessments both pre-PN and at 1-12 months post-PN. PVA was analyzed using Mimics software in the venous phase. The estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. The correlation between ipsilateral eGFR values derived from SRF assessed via PVA and NRS was examined using Pearson correlation. Concordance between different methods of SRF estimation was analyzed using the Friedman test, Bland-Altman plots, and Kendall's consistency coefficient. Similar study was conducted on a comparable cohort from Sun Yat-Sen Memorial Hospital. RESULTS The median tumor size was 3.5cm, and the median warm ischemia time was 25min. Preoperatively, ipsilateral SRF values based on PVA were notably consistent with those derived from NRS (49.4% vs 50.0%, P = .501). A strong correlation was observed between preoperative ipsilateral eGFR based on SRF from PVA and NRS (r = 0.89, P < .0001). Bland-Altman plots indicated minimal bias (-0.36%) between PVA and NRS in assessing SRF. However, post-PN, the median ipsilateral SRF based on PVA was slightly higher than that based on NRS (45.6% vs. 43.6%, P < .0001). Although there was still a strong correlation between post-PN ipsilateral eGFR based on SRF from PVA and NRS (r = 0.87, P < .0001), Bland-Altman plots revealed a non-negligible bias between the 2 methods (2.19 %). External study supported our findings. CONCLUSIONS PVA shows promise as a substitute for NRS in assessing SRF before PN with warm ischemia. However, this substitution may result in an overestimation of ipsilateral renal function in the post-PN phase.
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Affiliation(s)
- Yixin Huang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Ming Gao
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yanjun Wang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Rongliang Zheng
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou People's Republic of China
| | - Shaohan Yin
- State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China; Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Huiming Liu
- State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China; Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiangpeng Zou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Xin Luo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Longbin Xiong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Zhaohui Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Yulu Peng
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Fangjian Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Hui Han
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Shengjie Guo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Pei Dong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China
| | - Wen Dong
- Department of Urology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Zhiling Zhang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; State Key Laboratory of Oncology in Southern China, Guangzhou, P. R. China.
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Kazama A, Munoz-Lopez C, Lewis K, Attawettayanon W, Rathi N, Maina E, Campbell RA, Wood A, Lone Z, Bartholomew A, Kaouk J, Haber GP, Haywood S, Almassi N, Weight C, Li J, Campbell SC. Prolonged ischaemia during partial nephrectomy: impact of warm vs cold. BJU Int 2025; 135:611-620. [PMID: 39610210 DOI: 10.1111/bju.16605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
OBJECTIVE To evaluate the impact of prolonged ischaemia during partial nephrectomy (PN), which remains understudied despite its potential clinical relevance. PATIENTS AND METHODS Of 1371 patients managed with on-clamp PN (2011-2014), 759 (55%) had imaging and assessment of serum creatinine levels before and after PN within the appropriate timeframes necessary for inclusion. This timeframe was chosen to allow for a robust analysis of both warm and cold ischaemia. Recovery from ischaemia (Recischaemia) was defined as ipsilateral glomerular filtration rate (GFR) preserved, normalized by percentage of parenchymal volume preserved (PPVP), and would be 100% if all nephrons recovered completely from ischaemia. Pearson correlation and multivariable linear regression models were used to assess associations between Recischaemia and ischaemia type and duration. RESULTS Of 759 patients, 525 (69%) were managed with warm ischaemia. The median warm/cold ischaemia times were 22 and 30 min, respectively. Overall, the median percent ipsilateral GFR preserved, PPVP and Recischaemia were 79%, 83% and 96%, respectively. Segmented regression analysis demonstrated substantially greater decline in Recischaemia, beginning at approximately 30 min for warm ischaemia, which was not observed for hypothermia. Prolonged ischaemia (defined as >30 min) occurred in 197 patients (26%; 88 warm/109 cold). For limited ischaemia (≤30 min), hypothermia was often used for tumours with increased tumour size and complexity (P < 0.01), while for prolonged ischaemia, the warm/cold subgroups had similar patient and tumour characteristics. For limited ischaemia and prolonged hypothermia, median Recischaemia remained >95%, independent of ischaemia time. Differences in Recischaemia between the warm and cold cohorts became significant only after 30 min (P < 0.05). On multivariable analysis, prolonged warm ischaemia was associated with reduced Recischaemia (P = 0.02), which fell 3.9% for every additional 10 min beyond 30 min. CONCLUSIONS Our data suggest that Recischaemia begins to decline significantly after 30 min during PN, although hypothermia was protective. Avoidance of prolonged warm ischaemia should be prioritized in patients with solitary kidneys and/or significant pre-existing chronic kidney disease.
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Affiliation(s)
- Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Urology, Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Eran Maina
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Zaeem Lone
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Angelica Bartholomew
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Georges-Pascal Haber
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Samuel Haywood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Nima Almassi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jianbo Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Munoz-Lopez C, Lewis K, Rathi N, Maina E, Kazama A, Wong A, Bartholomew A, Attawettayanon W, Ye Y, Zhang Z, Dong W, Campbell RA, Heller N, Remer E, Weight C, Campbell SC. Renal parenchymal volume analysis: Clinical and research applications. BJUI COMPASS 2025; 6:e70013. [PMID: 40109982 PMCID: PMC11922601 DOI: 10.1002/bco2.70013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Revised: 02/19/2025] [Accepted: 03/04/2025] [Indexed: 03/22/2025] Open
Abstract
Background and Objectives In most patients, the renal parenchymal volumes in each kidney directly correlate with function and can be used as a proxy to determine split renal function (SRF). This simple principle forms the basis for parenchymal volume analysis (PVA) with semiautomated software, which can be leveraged to predict SRF and new-baseline glomerular filtration rate (NBGFR) following nephrectomy. PVA was originally used to evaluate renal transplantation donors and has replaced nuclear renal scans (NRS) in this domain. PVA has subsequently been explored for the management of patients with kidney cancer for whom difficult decisions about radical versus partial nephrectomy can be influenced by accurate prediction of NBGFR. Our objective is to present a comprehensive review of the applications of PVA in urology including their clinical and research implications. Methods Key articles utilizing renal PVA to improve clinical care and facilitate urologic research were reviewed with special emphasis on take-home points of clinical relevance and their contributions to progress in the field. Results There have been considerable advances in renal PVA over the past 15 years, which is now established as a reference standard for the prediction of functional outcomes after renal surgery. PVA provides improved accuracy when compared to NRS-based estimates or non-SRF-based algorithms. PVA can be performed in minutes using routine preoperative cross-sectional imaging and can be readily applied at the point of care. Additionally, PVA has important research applications, enabling the precise study of the determinants of functional recovery after partial nephrectomy, which can affect surgical approaches to this procedure. Conclusions Despite the wide availability of PVA, primarily for use in renal transplantation, it has not been widely implemented for other urologic purposes at most centres. Our hope is that this narrative review will increase PVA utilization in urology and facilitate further progress in the field.
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Affiliation(s)
- Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Eran Maina
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
- Department of Urology, Division of Molecular Oncology, Graduate School of Medical and Dental Sciences Niigata University Japan
| | - Anne Wong
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | | | - Worapat Attawettayanon
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital Prince of Songkla University Songkhla Thailand
| | - Yunlin Ye
- Department of Urology, Sun Yat-sen University Cancer Center Guangzhou P. R. China
| | - Zhiling Zhang
- Department of Urology, Sun Yat-sen University Cancer Center Guangzhou P. R. China
| | - Wen Dong
- Department of Urology, Sun Yat-sen University Cancer Center Guangzhou P. R. China
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Nicholas Heller
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Erick Remer
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic Cleveland OH USA
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Ellis JL, Sontag-Milobsky I, Chen VS, Rac G, Hartman NC, Gorbonos A, Woods ME, Flanigan RC, Quek M, Patel HD, Gupta GN. Quantifying preserved renal volume and function in patients undergoing standard partial nephrectomy vs. tumor enucleation for localized renal tumors. Urol Oncol 2024; 42:454.e1-454.e7. [PMID: 39370308 DOI: 10.1016/j.urolonc.2024.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 09/02/2024] [Accepted: 09/14/2024] [Indexed: 10/08/2024]
Abstract
INTRODUCTION Renal parenchymal volume loss from standard partial nephrectomy (SPN) is a significant prognosticator for postoperative renal function. Tumor enucleation (TE) minimizes parenchymal loss compared to SPN. Little is known regarding discrete changes in renal function associated with volume loss. We sought to quantify the differences between SPN and TE in preserving parenchymal volume and estimated glomerular filtration rate (eGFR). METHODS We identified 420 patients who underwent robotic partial nephrectomy (SPN or TE) at our tertiary care center from 2009 to 2022. Parenchymal volumes were calculated using TeraRecon 3D reconstruction software from axial imaging performed preoperatively and within 6 months postoperatively. Renal volume preserved and renal function were evaluated with multivariable linear and logistic regression models. RESULTS At 1 year, eGFR was 7% lower in patients undergoing SPN compared to TE (P < 0.01). Across both SPN and TE, only volume of preserved parenchyma was predictive of eGFR and chronic kidney disease (CKD) progression (both P < 0.01). TE preserved more healthy parenchymal volume compared to SPN (median percentage 97.6% vs 89.2%; P < 0.001). Each 1% of volumetric loss corresponded to a 0.35% decrease in eGFR at 1 year postoperatively (P < 0.01). CONCLUSIONS Volume of preserved renal parenchyma was the strongest factor associated with preserved eGFR and reduced odds of CKD progression. TE preserved more parenchyma than SPN, which translated to higher eGFR preservation at 1 year postoperatively.
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Affiliation(s)
- Jeffrey L Ellis
- Department of Urology, Loyola University Medical Center, Maywood, IL.
| | | | - Victor S Chen
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Goran Rac
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Natalie C Hartman
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Alex Gorbonos
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Michael E Woods
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Robert C Flanigan
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Marcus Quek
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Hiten D Patel
- Department of Urology, Loyola University Medical Center, Maywood, IL; Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Gopal N Gupta
- Department of Urology, Loyola University Medical Center, Maywood, IL; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Radiology, Loyola University Medical Center, Maywood, IL
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Ji E, Arteaga R, Raikar A, Rosenfeld J, Boehm D, Kim J, Kelahan L, Lee Z. Utilizing computed tomography-based renal parenchymal volumes to calculate split renal function in patients with ureteral stricture disease. World J Urol 2024; 42:563. [PMID: 39369156 DOI: 10.1007/s00345-024-05272-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 09/05/2024] [Indexed: 10/07/2024] Open
Abstract
PURPOSE Evaluation of split renal function (SRF) is critical for guiding surgical treatment decisions for patients with ureteral stricture disease (USD). We aimed to determine whether computed tomography (CT)-based renal parenchymal volumes may be used to predict SRF in patients with USD. METHODS We retrospectively reviewed all patients undergoing surgical management for USD at a single institution from October 2021 to January 2024. Patients who had preoperative nuclear medicine scan (NMS) and CT scan with intravenous contrast that were obtained within six weeks of each other were included. Interval between NMS and CT could be longer if the affected renal unit was drained with ureteral stent and/or percutaneous nephrostomy. Volume measurements were obtained using the 3D Region of Interest (ROI) Tool on Visage®7 Enterprise Imaging Platform (Visage Inc., San Diego, USA) by two investigators that were blinded to NMS derived SRF. Intraclass correlation coefficient (ICC) was used to assess consistency between investigators. Predictive accuracy was assessed using Pearson correlation coefficient (r) and linear regression. RESULTS 40 of 160 patients met inclusion criteria. There was excellent reliability in calculating renal parenchymal volume between raters (ICC = 0.990). There was a strong linear correlation between estimated CT SRF and NMS SRF (r = 0.912, p < 0.00001). A linear regression model found RObservedSRF = -0.013 + 1.015(REstimatedSRF), with r2 = 0.832. CONCLUSION CT-derived parenchymal volume analysis may be used to estimate SRF in patients with USD. This may obviate the need to obtain preoperative renal scans for SRF measurement in selected patients when assessing surgical management options.
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Affiliation(s)
- Emily Ji
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA.
| | - Rebecca Arteaga
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
| | - Aidan Raikar
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
| | - Jonathan Rosenfeld
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
| | - Devin Boehm
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
| | - Jaewoo Kim
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
| | - Linda Kelahan
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Ziho Lee
- Department of Urology, Northwestern University, 676 N. St. Clair, Suite 2300, Chicago, IL, 60611, USA
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Kazama A, Munoz-Lopez C, Attawettayanon W, Boumitri M, Maina E, Lone Z, Rathi N, Lewis K, Campbell RA, Palacios DA, Kaouk J, Haber GP, Haywood S, Almassi N, Weight CJ, Remer EM, Ward R, Nowacki AS, Campbell SC. Parenchymal obliteration by renal masses: Functional and oncologic implications. Urol Oncol 2024; 42:247.e11-247.e19. [PMID: 38729867 DOI: 10.1016/j.urolonc.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/14/2024] [Accepted: 04/18/2024] [Indexed: 05/12/2024]
Abstract
OBJECTIVES Most renal tumors merely displace nephrons while others can obliterate parenchyma in an invasive manner. Substantial parenchymal volume replacement (PVR) by renal cell carcinoma (RCC) may have oncologic implications; however, studies regarding PVR remain limited. Our objective was to evaluate the oncologic implications associated with PVR using improved methodology including more accurate and objective tools. PATIENTS/METHODS A total of 1,222 patients with non-metastatic renal tumors managed with partial nephrectomy (PN) or radical nephrectomy (RN) at Cleveland Clinic (2011-2014) with necessary studies were retrospectively evaluated. Parenchymal volume analysis via semiautomated software was used to estimate split renal function and preoperative parenchymal volumes. Using the contralateral kidney as a control, %PVR was defined: (parenchymal volumecontralateral-parenchymal volumeipsilateral) normalized by parenchymal volumecontralateral x100%. PVR was determined preoperatively and not altered by management. Patients were grouped by degree of PVR: minimal (<5%, N = 566), modest (5%-25%, N = 414), and prominent (≥25%, N = 142). Kaplan-Meier was used to evaluate survival outcomes relative to degree of PVR. Multivariable Cox-regression models evaluated predictors of recurrence-free survival (RFS). RESULTS Of 1,122 patients, 801 (71%) were selected for PN and 321 (29%) for RN. Overall, median tumor size was 3.1 cm and 6.8 cm for PN and RN, respectively, and median follow-up was 8.6 years. Median %PVR was 15% (IQR = 6%-29%) for patients selected for RN and negligible for those selected for PN. %PVR correlated inversely with preoperative ipsilateral GFR (r = -0.49, P < 0.01) and directly with advanced pathologic stage, high tumor grade, clear cell histology, and sarcomatoid features (all P < 0.01). PVR≥25% associated with shortened recurrence-free, cancer-specific, and overall survival (all P < 0.01). Male sex, ≥pT3a, tumor grade 4, positive surgical margins, and PVR≥25% independently associated with reduced RFS (all P < 0.02). CONCLUSIONS Obliteration of normal parenchyma by RCC substantially impacts preoperative renal function and patient selection. Our data suggests that increased PVR is primarily driven by aggressive tumor characteristics and independently associates with reduced RFS, although further studies will be needed to substantiate our findings.
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Affiliation(s)
- Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Department of Urology, Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Melissa Boumitri
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Eran Maina
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Zaeem Lone
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Samuel Haywood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Nima Almassi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | | | - Ryan Ward
- Imaging Institute, Cleveland Clinic, Cleveland OH
| | - Amy S Nowacki
- Department of Quantitative Sciences, Cleveland Clinic, Cleveland, OH
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
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Kazama A, Attawettayanon W, Munoz-Lopez C, Rathi N, Lewis K, Maina E, Campbell RA, Lone Z, Boumitri M, Kaouk J, Haber GP, Haywood S, Almassi N, Weight C, Li J, Campbell SC. Parenchymal volume preservation during partial nephrectomy: improved methodology to assess impact and predictive factors. BJU Int 2024; 134:219-228. [PMID: 38355293 DOI: 10.1111/bju.16300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
OBJECTIVE To rigorously evaluate the impact of the percentage of parenchymal volume preserved (PPVP) and how well the preserved parenchyma recovers from ischaemia (Recischaemia) on functional outcomes after partial nephrectomy (PN) using an accurate and objective software-based methodology for estimating parenchymal volumes and split renal function (SRF). A secondary objective was to assess potential predictors of the PPVP. PATIENTS AND METHODS A total of 894 PN patients with available studies (2011-2014) were evaluated. The PPVP was measured from cross-sectional imaging at ≤3 months before and 3-12 months after PN using semi-automated software. Pearson correlation evaluated relationships between continuous variables. Multivariable linear regression evaluated predictors of ipsilateral glomerular filtration rate (GFR) preserved and the PPVP. Relative-importance analysis was used to evaluate the impact of the PPVP on ipsilateral GFR preserved. Recischaemia was defined as the percentage of ipsilateral GFR preserved normalised by the PPVP. RESULTS The median tumour size and R.E.N.A.L. nephrometry score were 3.4 cm and 7, respectively. In all, 49 patients (5.5%) had a solitary kidney. In all, 538 (60%)/251 (28%)/104 (12%) patients were managed with warm/cold/zero ischaemia, respectively. The median pre/post ipsilateral GFRs were 40/31 mL/min/1.73 m2, and the median (interquartile range [IQR]) percentage of ipsilateral GFR preserved was 80% (71-88%). The median pre/post ipsilateral parenchymal volumes were 181/149 mL, and the median (IQR) PPVP was 84% (76-92%). In all, 330 patients (37%) had a PPVP of <80%, while only 34 (4%) had a Recischaemia of <80%. The percentage of ipsilateral GFR preserved correlated strongly with the PPVP (r = 0.83, P < 0.01) and loss of parenchymal volume accounted for 80% of the loss of ipsilateral GFR. Multivariable analysis confirmed that the PPVP was the strongest predictor of ipsilateral GFR preserved. Greater tumour size and endophytic and nearness properties of the R.E.N.A.L. nephrometry score were associated with a reduced PPVP (all P ≤ 0.01). Solitary kidney and cold ischaemia were associated with an increased PPVP (all P < 0.05). CONCLUSIONS A reduced PPVP predominates regarding functional decline after PN, although a low Recischaemia can also contribute. Tumour-related factors strongly influence the PPVP, while surgical efforts can improve the PPVP as observed for patients with solitary kidneys.
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Affiliation(s)
- Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Urology, Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Eran Maina
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Zaeem Lone
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa Boumitri
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Samuel Haywood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Nima Almassi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jianbo Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
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8
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Zhao S, Ding Y, Gan L, Yang P, Xie Y, Hu Y, Chen J, Wang X, Huang Z, Zhou B. Evaluation of split renal dysfunction using radiomics based on magnetic resonance diffusion-weighted imaging. Med Phys 2024; 51:5226-5235. [PMID: 38801337 DOI: 10.1002/mp.17131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/28/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Accurate and noninvasive assessment of split renal dysfunction is crucial, while there is lack of corresponding method clinically. PURPOSE To investigate the feasibility of using diffusion-weighted imaging (DWI)-based radiomics models to evaluate split renal dysfunction. METHODS We enrolled patients with impaired and normal renal function undergoing renal DWI examination. Glomerular filtration rate (GFR, mL/min) was measured using 99mTc-DTPA scintigraphy, which is reference standard of GFR measurement. The kidneys were classified into normal (GFR ≥40), mildly impaired (20≤ GFR < 40), moderately impaired (10≤ GFR < 20), and severely impaired (GFR < 10) renal function groups. Optimized subsets of radiomics features were selected from renal DWI images and radiomics scores (Rad-score) calculated to discriminate groups with different renal function. The radiomics model (Rad-score based) was developed in a training cohort and validated in a test cohort. Evaluations were conducted on the discrimination, calibration, and clinical application of the method. RESULTS The final analysis included 330 kidneys. Logistic regression was used to develop three radiomics models, model A, B, and C, which were used to distinguish normal from impaired, mild from moderate, and moderate from severe renal function, respectively. The area under the curve of the three models were 0.822, 0.704, and 0.887 in the training cohort and 0.843, 0.717, and 0.897 in the test cohort, respectively, indicating efficient discrimination performance. CONCLUSIONS DWI-based radiomics models have potential for evaluating split renal dysfunction and discriminating between normal and impaired renal function groups and their subgroups.
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Affiliation(s)
- Shengchao Zhao
- Center of Interventional Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
- Center of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
| | - Yi Ding
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lijuan Gan
- Department of Gynecological Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Pei Yang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanliang Xie
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Hu
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Xiang Wang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zengfa Huang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Zhou
- Center of Interventional Medicine, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
- Center of Cerebrovascular Disease, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
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9
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Schober JP, Ginsburg KB, Kutikov A, Cho EY, Loecher M, Strauss D, Castro Bigalli AA, Handorf E, Deng M, Anaokar J, Chen DYT, Greenberg RE, Smaldone MC, Viterbo R, Correa AF, Uzzo RG, Strother M. Real-time estimation of nephron activity with a linear measurement system (RENAL-MS) predicts postoperative estimated glomerular filtration rate. BJU Int 2024; 133:206-213. [PMID: 37667554 PMCID: PMC11279882 DOI: 10.1111/bju.16172] [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] [Indexed: 09/06/2023]
Abstract
OBJECTIVE To determine whether a simple point-of-care measurement system estimating renal parenchymal volume using tools ubiquitously available could be used to replace nuclear medicine renal scintigraphy (NMRS) in current clinical practice to predict estimated glomerular filtration rate (eGFR) after nephrectomy by estimating preoperative split renal function. PATIENTS AND METHODS We performed a retrospective review of patients who underwent abdominal cross-sectional imaging (computed tomography/magnetic resonance imaging) and mercaptoacetyltriglycine (MAG3) NMRS prior to total nephrectomy at a single institution. We developed the real-time estimation of nephron activity with a linear measurement system (RENAL-MS) method of estimating postoperative renal function via the following technique: renal parenchymal volume of the removed kidney relative to the remaining kidney was estimated as the product of renal length and the average of six renal parenchymal thickness measurements. The utility of this value was compared to the utility of the split renal function measured by MAG3 for prediction of eGFR and new onset Stage 3 chronic kidney disease (CKD) at ≥90 days after nephrectomy using uni- and multivariate linear and logistic regression. RESULTS A total of 57 patients met the study criteria. The median (interquartile range [IQR]) age was 69 (61-80) years. The median (IQR) pre- and postoperative eGFR was 74 (IQR 58-90) and 46 (35-62) mL/min/1.73 m2 , respectively. [Correction added on 29 December 2023, after first online publication: The data numbers in the preceding sentence have been corrected.] Correlations between actual and predicted postoperative eGFR were similar whether the RENAL-MS or NMRS methods were used, with correlation using RENAL-MS being slightly numerically but not statistically superior (R = 0.82 and 0.76; P = 0.138). Receiver operating characteristic curve analysis using logistic regression estimates incorporating age, sex, and preoperative creatinine to predict postoperative Stage 3 CKD were similar between RENAL-MS and NMRS (area under the curve 0.93 vs. 0.97). [Correction added on 29 December 2023, after first online publication: The data numbers in the preceding sentence have been corrected.] CONCLUSION: A point-of-care tool to estimate renal parenchymal volume (RENAL-MS) performed equally as well as NMRS to predict postoperative eGFR and de novo Stage 3 CKD after nephrectomy in our population, suggesting NMRS may not be necessary in this setting.
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Affiliation(s)
- Jared P Schober
- Division of Urologic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Alexander Kutikov
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Eric Y Cho
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Matt Loecher
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - David Strauss
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | | | - Elizabeth Handorf
- Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Mengying Deng
- Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Jordan Anaokar
- Department of Diagnostic Radiology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - David Y T Chen
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Richard E Greenberg
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Marc C Smaldone
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Rosalia Viterbo
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Andres F Correa
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Robert G Uzzo
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Marshall Strother
- Department of Urology, Oregon Health and Science University, Portland, OR, USA
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10
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Attawettayanon W, Yasuda Y, Zhang JH, Rathi N, Munoz-Lopez C, Kazama A, Lewis K, Ponvilawan B, Shah S, Wood A, Li J, Accioly JPE, Campbell RA, Zabell J, Kaouk J, Haber GP, Eltemamy M, Krishnamurthi V, Abouassaly R, Weight C, Campbell SC. Functional recovery after partial nephrectomy in a solitary kidney. Urol Oncol 2024; 42:32.e17-32.e27. [PMID: 38142208 DOI: 10.1016/j.urolonc.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/13/2023] [Accepted: 12/02/2023] [Indexed: 12/25/2023]
Abstract
OBJECTIVES Partial nephrectomy (PN) is the reference standard for renal mass in a solitary kidney (RMSK), although factors determining functional recovery in this setting remain poorly defined. PATIENTS/METHODS Single center, retrospective analysis of 841 RMSK patients (1975-2022) managed with PN with functional data, including 361/435/45 with cold/warm/zero ischemia, respectively. A total of 155 of these patients also had necessary studies for detailed analysis of parenchymal volume preserved. Acute kidney injury (AKI) was classified by RIFLE (Risk/Injury/Failure/Loss/Endstage). Recovery-from-ischemia (Rec-Ischemia) was defined as glomerular filtration rate (GFR) saved normalized by parenchymal volume saved. Logistic regression identified predictive factors for AKI and predictors of Rec-Ischemia were analyzed by multivariable linear regression. RESULTS Overall, median preoperative GFR was 56.7 ml/min/1.73m2 and new-baseline and 5-year GFRs were 43.1 and 44.5 ml/min/1.73m2, respectively. Median follow-up was 55 months; 5-year dialysis-free survival was 97%. In the detailed analysis cohort, a primary focus of this study, median warm (n = 70)/cold (n = 85) ischemia times were 25/34 minutes, respectively; and median preoperative, new-baseline and 5-year GFRs were 57.8, 45.0, and 41.7 ml/min/1.73m2, respectively. Functional recovery correlated strongly with parenchymal volume preserved (r = 0.84, p < 0.001). Parenchymal volume loss accounted for 69% of the total median GFR decline associated with PN, leaving only 3 to 4 ml/min/1.73m2 attributed to ischemia and other factors. AKI occurred in 52% of patients and the only independent predictor of AKI was ischemia time. Independent predictors of reduced Rec-Ischemia were increased age, warm ischemia, and AKI. CONCLUSION The main determinant of functional recovery after PN in RMSK is parenchymal volume preservation. Type/duration of ischemia, AKI, and age also correlated, although altogether their contributions were less impactful. Our findings suggest multiple opportunities for optimizing functional outcomes although preservation of parenchymal volume remains predominant. Long-term function generally remains stable with dialysis only occasionally required.
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Affiliation(s)
- Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Tokyo Medical and Dental University, Graduate School, Tokyo, Japan
| | - Jj H Zhang
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Department of Urology, University of California Los Angeles (UCLA), Los Angeles, CA
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Department of Urology, Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Ben Ponvilawan
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Snehi Shah
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Jianbo Li
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland, OH
| | | | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Joseph Zabell
- Department of Urology, University of Minnesota, Minneapolis, MN
| | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Mohamad Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
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11
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Wong HPN, So WZ, Gauhar V, Goh BYS, Tiong HY. Predicting new-baseline glomerular filtration rate (NBGFR) after donor nephrectomy: validation of a split renal function (SRF)-based formula. World J Urol 2024; 42:50. [PMID: 38244074 DOI: 10.1007/s00345-023-04759-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 12/10/2023] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Accurate prediction of post-donor nephrectomy (DN) glomerular filtration rate is potentially useful for evaluating and counselling living kidney donors. Currently, there are limited tools to evaluate post-operative new-baseline glomerular filtration rate (NBGFR) in kidney donors. We aim to validate a conceptually simple formula based on split renal function (SRF) previously developed for radical nephrectomy patients. METHODS Eighty-three consecutive patients who underwent DN from 2010 to 2016 were included. Pre-operative CT imaging and functional data including pre-DN baseline Global GFR (108.2 ± 13.2 mL/min/1.73m2) were included. Observed NBGFR was defined as the latest eGFR 3-12 months post-DN. SRF, defined as volume of the contralateral non-resected kidney normalised by total volume of kidneys, was determined from pre-operative cross-sectional imaging (49.2 ± 2.36%). The equation derived from Rathi et al. is as detailed: Predicted NBGFR = 1.24 × (Global GFR Pre-DN) x (SRF). RESULTS The relationship between predicted NBGFR (66.0 ± 8.29 mL/min/1.73m2) and observed NBGFR (74.9 ± 16.4 mL/min/1.73m2) was assessed by evaluating correlation coefficients, bias, precision, accuracy, and concordance. The new SRF-based formula for NBGFR prediction correlated strongly with observed post-operative NBGFR (Pearson's r = 0.729) demonstrating minimal bias (median difference = 7.190 mL/min/1.73m2) with good accuracy (96.4% within ± 30%, 62.7% within ± 15%) and precision (IQR of bias = - 0.094 to 16.227). CONCLUSION The SRF-based formula was also able to accurately discriminate all but one patient to an NBGFR of > 45 mL/min/1.73m2. We utilised the newly developed SRF-based formula for predicting NBGFR in a living kidney donor population. Counselling of donor post-operative renal outcomes may then be optimised pre-operatively.
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Affiliation(s)
- Hoi Pong Nicholas Wong
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
| | - Wei Zheng So
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
| | - Vineet Gauhar
- Department of Urology, Ng Teng Fong General Hospital, Singapore, Singapore
| | | | - Ho Yee Tiong
- Department of Urology, National University Hospital, Singapore, Singapore
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12
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Zheng W, Hou G, Ju D, Yan F, Liu K, Niu Z, Huang L, Xing Z, Kong L, Liu P, Zhang G, Wei D, Yuan J. Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study. World J Urol 2023; 41:3567-3573. [PMID: 37906264 PMCID: PMC10693500 DOI: 10.1007/s00345-023-04686-4] [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: 05/03/2023] [Accepted: 10/08/2023] [Indexed: 11/02/2023] Open
Abstract
PURPOSE The purpose of this study was to develop predictive models for postoperative estimated glomerular filtration rate (eGFR) based on the split glomerular filtration rate measured by radionuclide (rGFR), as choosing radical nephrectomy (RN) or partial nephrectomy (PN) for complex renal masses requires accurate prediction of postoperative eGFR. METHODS Patients who underwent RN or PN for a single renal mass at Xijing Hospital between 2008 and 2022 were retrospectively included. Preoperative split rGFR was evaluated using technetium-99 m-diethylenetriaminepentaacetic acid (Tc-99 m DTPA) renal dynamic imaging, and the postoperative short-term (< 7 days) and long-term (3 months to 5 years) eGFRs were assessed. Linear mixed-effect models were used to predict eGFRs, with marginal R2 reflecting predictive ability. RESULTS After excluding patients with missing follow-up eGFRs, the data of 2251 (RN: 1286, PN: 965) and 2447 (RN: 1417, PN: 1030) patients were respectively included in the long-term and short-term models. Two models were established to predict long-term eGFRs after RN (marginal R2 = 0.554) and PN (marginal R2 = 0.630), respectively. Two other models were established to predict short-term eGFRs after RN (marginal R2 = 0.692) and PN (marginal R2 = 0.656), respectively. In terms of long-term eGFRs, laparoscopic and robotic surgery were superior to open surgery in both PN and RN. CONCLUSIONS We developed novel tools for predicting short-term and long-term eGFRs after RN and PN based on split rGFR that can help in preoperative decision-making.
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Affiliation(s)
- Wanxiang Zheng
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Guangdong Hou
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Dongen Ju
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Fei Yan
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Kepu Liu
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhiping Niu
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Luguang Huang
- Information Center, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zibao Xing
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Department of Urology, The 73rd Army Group Hospital, Xiamen, China
| | - Lingchen Kong
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Pengfei Liu
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Air Force Hospital of Western Theater Command, PLA, Chengdu, China
| | - Geng Zhang
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Di Wei
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
| | - Jianlin Yuan
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
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13
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Antony MB, Anari PY, Gopal N, Chaurasia A, Firouzabadi FD, Homayounieh F, Kozel Z, Gautam R, Gurram S, Linehan WM, Turkbey EB, Malayeri AA, Ball MW. Preoperative Renal Parenchyma Volume as a Predictor of Kidney Function Following Nephrectomy of Complex Renal Masses. EUR UROL SUPPL 2023; 57:66-73. [PMID: 38020527 PMCID: PMC10658405 DOI: 10.1016/j.euros.2023.08.010] [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] [Accepted: 08/20/2023] [Indexed: 12/01/2023] Open
Abstract
Background The von Hippel-Lindau disease (VHL) is a hereditary cancer syndrome with multifocal, bilateral cysts and solid tumors of the kidney. Surgical management may include multiple extirpative surgeries, which ultimately results in parenchymal volume loss and subsequent renal function decline. Recent studies have utilized parenchyma volume as an estimate of renal function prior to surgery for renal cell carcinoma; however, it is not yet validated for surgically altered kidneys with multifocal masses and complex cysts such as are present in VHL. Objective We sought to validate a magnetic resonance imaging (MRI)-based volumetric analysis with mercaptoacetyltriglycine (MAG-3) renogram and postoperative renal function. Design setting and participants We identified patients undergoing renal surgery at the National Cancer Institute from 2015 to 2020 with preoperative MRI. Renal tumors, cysts, and parenchyma of the operated kidney were segmented manually using ITK-SNAP software. Outcome measurements and statistical analysis Serum creatinine and urinalysis were assessed preoperatively, and at 3- and 12-mo follow-up time points. Estimated glomerular filtration rate (eGFR) was calculated using serum creatinine-based CKD-EPI 2021 equation. A statistical analysis was conducted on R Studio version 4.1.1. Results and limitations Preoperative MRI scans of 113 VHL patients (56% male, median age 48 yr) were evaluated between 2015 and 2021. Twelve (10.6%) patients had a solitary kidney at the time of surgery; 59 (52%) patients had at least one previous partial nephrectomy on the renal unit. Patients had a median of three (interquartile range [IQR]: 2-5) tumors and five (IQR: 0-13) cysts per kidney on imaging. The median preoperative GFR was 70 ml/min/1.73 m2 (IQR: 58-89). Preoperative split renal function derived from MAG-3 studies and MRI split renal volume were significantly correlated (r = 0.848, p < 0.001). On the multivariable analysis, total preoperative parenchymal volume, solitary kidney, and preoperative eGFR were significant independent predictors of 12-mo eGFR. When only considering patients with two kidneys undergoing partial nephrectomy, preoperative parenchymal volume and eGFR remained significant predictors of 12-mo eGFR. Conclusions A parenchyma volume analysis on preoperative MRI correlates well with renogram split function and can predict long-term renal function with added benefit of anatomic detail and ease of application. Patient summary Prior to kidney surgery, it is important to understand the contribution of each kidney to overall kidney function. Nuclear medicine scans are currently used to measure split kidney function. We demonstrated that kidney volumes on preoperative magnetic resonance imaging can also be used to estimate split kidney function before surgery, while also providing essential details of tumor and kidney anatomy.
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Affiliation(s)
- Maria B. Antony
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pouria Y. Anari
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Nikhil Gopal
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Aditi Chaurasia
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Fatemeh Homayounieh
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Zach Kozel
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rabindra Gautam
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sandeep Gurram
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - W. Marston Linehan
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Evrim B. Turkbey
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Ashkan A. Malayeri
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Mark W. Ball
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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14
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Munoz-Lopez C, Lewis K, Attawettayanon W, Yasuda Y, Accioly JPE, Rathi N, Lone Z, Boumitri M, Campbell RA, Wood A, Kaouk J, Haber GP, Eltemamy M, Krishnamurthi V, Abouassaly R, Haywood S, Weight C, Campbell SC. Parenchymal volume analysis to assess longitudinal functional decline following partial nephrectomy. BJU Int 2023; 132:435-443. [PMID: 37409822 DOI: 10.1111/bju.16110] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
OBJECTIVE To identify factors associated with longitudinal ipsilateral functional decline after partial nephrectomy (PN). PATIENTS AND METHODS Of 1140 patients managed with PN (2012-2014), 349 (31%) had imaging/serum creatinine levels pre-PN, 1-12 months post-PN (new baseline), and >3 years later necessary for inclusion. Parenchymal-volume analysis was used to determine split renal function. Patients were grouped as having significant renal comorbidity (CohortSRC : diabetes mellitus with insulin-dependence or end-organ damage, refractory hypertension, or severe pre-existing chronic kidney disease) vs not having significant renal comorbidity (CohortNoSRC ) preoperatively. Multivariable regression was used to identify predictors of annual ipsilateral parenchymal atrophy and functional decline relative to new baseline values post-PN, after the kidney had healed. RESULTS The median follow-up was 6.3 years with 87/226/36 patients having cold/warm/zero ischaemia. The median cold/warm ischaemia times were 32/22 min. Overall, the median tumour size was 3.0 cm. The preoperative glomerular filtration rate (GFR) and new baseline GFR (NBGFR) were 81 and 71 mL/min/1.73 m2 , respectively. After establishment of the NBGFR, the median loss of global and ipsilateral function was 0.7 and 0.4 mL/min/1.73 m2 /year, respectively, consistent with the natural ageing process. Overall, the median ipsilateral parenchymal atrophy was 1.2 cm3 /year and accounted for a median of 53% of the annual functional decline. Significant renal comorbidity, age, and warm ischaemia were independently associated with ipsilateral parenchymal atrophy (all P < 0.01). Significant renal comorbidity and ipsilateral parenchymal atrophy were independently associated with annual ipsilateral functional decline (both P < 0.01). Annual median ipsilateral parenchymal atrophy and functional decline were both significantly increased for CohortSRC compared to CohortNoSRC (2.8 vs 0.9 cm3 , P < 0.01 and 0.90 vs 0.30 mL/min/1.73 m2 /year, P < 0.01, respectively). CONCLUSIONS Longitudinal renal function following PN generally follows the normal ageing process. Significant renal comorbidities, age, warm ischaemia, and ipsilateral parenchymal atrophy were the most important predictors of ipsilateral functional decline following establishment of NBGFR.
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Affiliation(s)
- Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Tokyo Medical and Dental University, Graduate School, Tokyo, Japan
| | | | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Zaeem Lone
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa Boumitri
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Mohamad Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Samuel Haywood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
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15
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Zhou Z, Li Z, Ning K, Xiong L, Liu H, Huang Y, Luo X, Peng Y, Chen L, Ma B, Zou X, Wei W, Luo C, Han H, Guo S, Dong P, Zhou F, Yu C, Zhang Z. Long-term effect of acute ischemic injury on the kidney underwent clamped partial nephrectomy. iScience 2023; 26:107610. [PMID: 37664597 PMCID: PMC10474450 DOI: 10.1016/j.isci.2023.107610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/01/2023] [Accepted: 08/09/2023] [Indexed: 09/05/2023] Open
Abstract
GFR reaches a new baseline, primarily correlating with nephron-mass preservation, 1-12 months after partial nephrectomy (PN). However, does the ipsilateral GFR experience subsequent decline, and does acute ischemic injury has long-term effect on the operated kidney? 319 patients with two kidneys and unilateral clamped PN were analyzed. All had preoperative, new-baseline, and latest follow-up imaging/serum creatinine levels. Annual ipsilateral GFR decline rate (AIGDR) was defined as new-baseline GFR minus latest follow-up GFR normalized by new-baseline GFR, per year. Spectrum score was used to reflect the degree of acute ischemic injury in the operated kidney. 100 subjects searching for health screening served as controls. Predictive factors for AIGDR were assessed. The median AIGDR was 2.25%, significantly higher than controls (0.88%, p = 0.036). With some contralateral hypertrophy, the global annual GFR decline was similar to that of controls (0.81% vs. 0.88%, p = 0.7). Spectrum score correlated significantly with AIGDR (p = 0.037). These results support that acute ischemic injury has long-term effect on the operated kidney.
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Affiliation(s)
- Zhaohui Zhou
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhiyong Li
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Kang Ning
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Longbin Xiong
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Huiming Liu
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yixin Huang
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xin Luo
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yulu Peng
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Lijie Chen
- Department of Anesthesiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Binglei Ma
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiangpeng Zou
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wensu Wei
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Cheng Luo
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hui Han
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Shengjie Guo
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Pei Dong
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Fangjian Zhou
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chunping Yu
- Guangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Urology, Guangzhou, China
| | - Zhiling Zhang
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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16
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Fourniol C, Dariane C, Correas J, Audenet F, Pinar U, Anract J, Hostettler A, Panthier F, Timsit MO, Mejean A. Volumetric and functional outcomes at 1-year between percutaneous-ablation and partial-nephrectomy for T1b renal tumors. Prog Urol 2023; 33:509-518. [PMID: 37633733 DOI: 10.1016/j.purol.2023.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/16/2023] [Accepted: 08/01/2023] [Indexed: 08/28/2023]
Abstract
INTRODUCTION Indication for percutaneous-ablation (PA) is gradually expanding to renal tumors T1b (4-7cm). Few data exist on the alteration of renal functional volume (RFV) post-PA. Yet, it is a surrogate marker of post partial-nephrectomy (PN) glomerular filtration rate (GFR) impairment. The objective was to compare RFV and GFR at 1-year post-PN or PA, in this T1b population. METHODS Patients with unifocal renal tumor≥4cm treated between 2014 and 2019 were included. Tumor, homolateral (RFVh), contralateral RFV, and total volumes were assessed by manual segmentation (3D Slicer) before and at 1 year of treatment, as was GFR. The loss of RFV, contralateral hypertrophy, and preservation of GFR were compared between both groups (PN vs. PA). RESULTS 144 patients were included (87PN, 57PA). Preoperatively, PA group was older (74 vs. 59 years; P<0.0001), had more impaired GFR (73 vs. 85mL/min; P=0.0026) and smaller tumor volume(31.1 vs. 55.9cm3; P=0.0007) compared to PN group. At 1 year, the PN group had significantly more homolateral RFV loss (-19 vs. -14%; P=0.002), and contralateral compensatory hypertrophy (+4% vs. +1,8%; P=0.02, respectively). Total-RFV loss was similar between both (-21.7 vs. -19cm3; P=0.07). GFR preservation was better in the PN group (95.9 vs. 90.7%; P=0.03). In multivariate analysis, age and tumor size were associated with loss of RFVh. CONCLUSION For renal tumors T1b, PN is associated with superior compensatory hypertrophy compared with PA, compensating for the higher RFVh loss, resulting in similar ΔRFV-total between both groups. The superior post-PN GFR preservation suggests that the preserved quantitative RFV factor is insufficient. Therefore, the underlying quality of the parenchyma would play a major role in postoperative GFR.
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Affiliation(s)
- C Fourniol
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France.
| | - C Dariane
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France
| | - J Correas
- Service de radiologie adulte, hôpital Necker-Enfants-Malades, AP-HP, centre, université de Paris, 245, rue de Sèvres, 75015 Paris, France
| | - F Audenet
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France
| | - U Pinar
- Service d'urologie, hôpital Pitié-Salpêtrière, AP-HP-centre, Sorbonne université, 47-83, boulevard de l'Hôpital, 75013 Paris, France
| | - J Anract
- Service d'urologie, hôpital Cochin, AP-HP-centre, université de Paris, 27, rue du Faubourg-Saint-Jacques, 75014 Paris, France
| | - A Hostettler
- Département de recherche et développement, IRCAD France, 1, place de l'Hôpital, 67000 Strasbourg, France
| | - F Panthier
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France
| | - M O Timsit
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France
| | - A Mejean
- Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, centre, université de Paris, 20, rue Leblanc, 75015 Paris, France
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17
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Munoz-Lopez C, Lewis K, Attawettayanon W, Yasuda Y, Emrich Accioly JP, Rathi N, Lone Z, Boumitri M, Campbell RA, Wood A, Kaouk JH, Haber GP, Eltemamy M, Krishnamurthi V, Abouassaly R, Haywood SC, Weight CJ, Campbell SC. Functional recovery after partial nephrectomy: next generation analysis. BJU Int 2023; 132:202-209. [PMID: 37017637 DOI: 10.1111/bju.16023] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
OBJECTIVES To provide a more rigorous assessment of factors affecting functional recovery after partial nephrectomy (PN) using novel tools that allow for analysis of more patients and improved accuracy for assessment of parenchymal volume loss, thereby revealing the potential impact of secondary factors such as ischaemia. PATIENTS AND METHODS Of 1140 patients managed with PN (2012-2014), 670 (59%) had imaging and serum creatinine levels measured before and after PN necessary for inclusion. Recovery from ischaemia was defined as the ipsilateral glomerular filtration rate (GFR) saved normalised by parenchymal volume saved. Acute kidney injury was assessed through Spectrum Score, which quantifies the degree of acute ipsilateral renal dysfunction due to exposure to ischaemia that would otherwise be masked by the contralateral kidney. Multivariable regression was used to identify predictors of Spectrum Score and Recovery from Ischaemia. RESULTS In all, 409/189/72 patients had warm/cold/zero ischaemia, respectively, with median (interquartile range [IQR]) ischaemia times for cold and warm ischaemia of 30 (25-42) and 22 (18-28) min, respectively. The median (IQR) global preoperative GFR and new baseline GFR (NBGFR) were 78 (63-92) and 69 (54-81) mL/min/1.73 m2 , respectively. The median (IQR) ipsilateral preoperative GFR and NBGFR were 40 (33-47) and 31 (24-38) mL/min/1.73 m2 , respectively. Functional recovery correlated strongly with parenchymal volume preserved (r = 0.83, P < 0.01). The median (IQR) decline in ipsilateral GFR associated with PN was 7.8 (4.5-12) mL/min/1.73 m2 with loss of parenchyma accounting for 81% of this loss. The median (IQR) recovery from ischaemia was similar across the cold/warm/zero ischaemia groups at 96% (90%-102%), 95% (89%-101%), and 97% (91%-102%), respectively. Independent predictors of Spectrum Score were ischaemia time, tumour complexity, and preoperative global GFR. Independent predictors of recovery from ischaemia were insulin-dependent diabetes mellitus, refractory hypertension, warm ischaemia, and Spectrum Score. CONCLUSIONS The main determinant of functional recovery after PN is parenchymal volume preservation. A more robust and rigorous evaluation allowed us to identify secondary factors including comorbidities, increased tumour complexity, and ischaemia-related factors that are also independently associated with impaired recovery, although altogether these were much less impactful.
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Affiliation(s)
- Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Tokyo Medical and Dental University, Graduate School, Tokyo, Japan
| | | | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Zaeem Lone
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Melissa Boumitri
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jihad H Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Mohamad Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Samuel C Haywood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
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18
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Wood AM, Benidir T, Campbell RA, Rathi N, Abouassaly R, Weight CJ, Campbell SC. Long-Term Renal Function Following Renal Cancer Surgery: Historical Perspectives, Current Status, and Future Considerations. Urol Clin North Am 2023; 50:239-259. [PMID: 36948670 DOI: 10.1016/j.ucl.2023.01.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Knowledge of functional recovery after partial (PN) and radical nephrectomy for renal cancer has advanced considerably, with PN now established as the reference standard for most localized renal masses. However, it is still unclear whether PN provides an overall survival benefit in patients with a normal contralateral kidney. While early studies seemingly demonstrated the importance of minimizing warm-ischemia time during PN, multiple new investigations over the last 10 years have proven that parenchymal mass lost is the most important predictor of new baseline renal function. Minimizing loss of parenchymal mass during resection and reconstruction is the most important controllable aspect of long-term post-operative renal function preservation.
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Affiliation(s)
- Andrew M Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA.
| | - Tarik Benidir
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
| | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
| | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
| | - Christopher J Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Q Building - Glickman Tower, 2050 East 96th Street, Cleveland, OH 44195, USA
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19
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Rathi N, Attawettayanon W, Yasuda Y, Lewis K, Roversi G, Shah S, Wood A, Munoz-Lopez C, Palacios DA, Li J, Abdallah N, Schober JP, Strother M, Kutikov A, Uzzo R, Weight CJ, Eltemamy M, Krishnamurthi V, Abouassaly R, Campbell SC. Point of care parenchymal volume analyses to estimate split renal function and predict functional outcomes after radical nephrectomy. Sci Rep 2023; 13:6225. [PMID: 37069196 PMCID: PMC10110585 DOI: 10.1038/s41598-023-33236-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/10/2023] [Indexed: 04/19/2023] Open
Abstract
Accurate prediction of new baseline GFR (NBGFR) after radical nephrectomy (RN) can inform clinical management and patient counseling whenever RN is a strong consideration. Preoperative global GFR, split renal function (SRF), and renal functional compensation (RFC) are fundamentally important for the accurate prediction of NBGFR post-RN. While SRF has traditionally been obtained from nuclear renal scans (NRS), differential parenchymal volume analysis (PVA) via software analysis may be more accurate. A simplified approach to estimate parenchymal volumes and SRF based on length/width/height measurements (LWH) has also been proposed. We compare the accuracies of these three methods for determining SRF, and, by extension, predicting NBGFR after RN. All 235 renal cancer patients managed with RN (2006-2021) with available preoperative CT/MRI and NRS, and relevant functional data were analyzed. PVA was performed on CT/MRI using semi-automated software, and LWH measurements were obtained from CT/MRI images. RFC was presumed to be 25%, and thus: Predicted NBGFR = 1.25 × Global GFRPre-RN × SRFContralateral. Predictive accuracies were assessed by mean squared error (MSE) and correlation coefficients (r). The r values for the LWH/NRS/software-derived PVA approaches were 0.72/0.71/0.86, respectively (p < 0.05). The PVA-based approach also had the most favorable MSE, which were 120/126/65, respectively (p < 0.05). Our data show that software-derived PVA provides more accurate and precise SRF estimations and predictions of NBGFR post-RN than NRS/LWH methods. Furthermore, the LWH approach is equivalent to NRS, precluding the need for NRS in most patients.
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Affiliation(s)
- Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Gustavo Roversi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Snehi Shah
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Diego A Palacios
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jianbo Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Nour Abdallah
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jared P Schober
- Department of Surgery, Division of Urologic Surgery, University of Nebraska Medical Center, Omaha, NE, USA
| | - Marshall Strother
- Department of Urology, Oregon Health Sciences University, Portland, OR, USA
| | - Alexander Kutikov
- Department of Urology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Robert Uzzo
- Department of Urology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | | | - Mohamed Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA.
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20
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Campbell SC, Campbell JA, Munoz-Lopez C, Rathi N, Yasuda Y, Attawettayanon W. Every decade counts: a narrative review of functional recovery after partial nephrectomy. BJU Int 2023; 131:165-172. [PMID: 35835519 PMCID: PMC10087004 DOI: 10.1111/bju.15848] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To provide a narrative review of the major advances regarding ischaemia and functional recovery after partial nephrectomy (PN), along with the ongoing controversies. METHODS Key articles reflecting major advances regarding ischaemia and functional recovery after PN were identified. Special emphasis was placed on contributions that changed perspectives about surgical management. Priority was also placed on randomized trials of off-clamp vs on-clamp cohorts. RESULTS A decade ago, 'Every minute counts' was published, showing strong correlations between duration of ischaemia and development of acute kidney injury (AKI) and chronic kidney disease after clamped PN. This reinforced perspectives that ischaemia was the main modifiable factor that could be addressed to improve functional outcomes and helped spur efforts towards reduced or zero ischaemia PN. These approaches were associated with strong functional recovery and some peri-operative risk, although they were generally safe in experienced hands. Further research demonstrated that, when parenchymal volume changes were incorporated into the analyses, ischaemia lost statistical significance, and percent parenchymal volume saved proved to be the main determinant. Cold ischaemia was confirmed to be highly protective, and limited warm ischaemia also proved to be safe. The reconstructive phase of PN, with avoidance of parenchymal devascularization, appears to be most important for functional outcomes. Randomized trials of on-clamp vs off-clamp PN have shown minimal impact of ischaemia on functional recovery. CONCLUSIONS The past decade has witnessed great progress regarding functional recovery after PN, with many lessons learned. However, there are still unanswered questions, including: What is the threshold of warm ischaemia at which irreversible ischaemic injury begins to develop? Are some cohorts at increased risk for AKI or irreversible ischaemic injury? and Which patients should be prioritized for zero-ischaemia PN?
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Affiliation(s)
- Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Carlos Munoz-Lopez
- Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Nityam Rathi
- Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
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21
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Aragon-Ching JB, Uzzo R. Multidisciplinary treatment (MDT) perspectives in renal cell carcinoma. Ther Adv Urol 2023; 15:17562872231182216. [PMID: 37359736 PMCID: PMC10286529 DOI: 10.1177/17562872231182216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023] Open
Affiliation(s)
| | - Robert Uzzo
- Department of Urologic Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
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22
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Rathi N, Yasuda Y, Attawettayanon W, Palacios DA, Ye Y, Li J, Weight C, Eltemamy M, Benidir T, Abouassaly R, Campbell SC. Optimizing prediction of new-baseline glomerular filtration rate after radical nephrectomy: are algorithms really necessary? Int Urol Nephrol 2022; 54:2537-2545. [DOI: 10.1007/s11255-022-03298-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/04/2022] [Indexed: 11/30/2022]
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23
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Wang H, Yang L, Lu K, Guo X, Xi R, Dong W, Qin K, Liu H, Wei H, Cheng Y, Wu Z, Li S. Evaluation of N-(6-[ 18F]Fluoropyridin-3-yl)glycine PET renography to detect renal function progression in a rat model of diabetic nephropathy. Nucl Med Biol 2022; 112-113:59-65. [PMID: 35863280 DOI: 10.1016/j.nucmedbio.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/24/2022] [Accepted: 07/03/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE Given the limitation of biomarkers to predict the renal function progression in diabetic nephropathy, N-(6-[18F]Fluoropyridin-3-yl)glycine (6-[18F]FPyGly) was used to evaluate renal function progression in a rat model of diabetic nephropathy. METHODS Twenty male Sprague-Dawley rats were randomly divided into four groups, including the healthy control group (HC group), diabetic nephropathy group (DNM group), routine diet treated diabetic nephropathy group (RDNM group), and high fat/high sucrose -diet-fed diabetic nephropathy group (HDNM group). All renal function parameters were determined from animal PET renograms. P and Tmax represent the curve peak counts and the time to the curve peak counts of 6-[18F]FPyGly in kidneys after injection, C1/2 and the 15 min/Peak ratio represent the time from peak to 1/2 peak in the clearance phase, and the ratio of the curve counts at 15 min to the curve peak counts. RESULTS P, Tmax, C1/2, and 15 min/peak ratio of each rat were significantly correlated with S-Cr, BUN. There were significant differences in Tmax, P, serum creatinine (SCr), and blood urea nitrogen (BUN) levels between HC and DNM groups. P and the 15 min/Peak ratio were significantly different among DNM, RDNM, and HDNM groups, while Tmax and C1/2 were only significantly different between DNM and RDNM or HDNM groups. There only was a significant difference in BUN between the DNM and HDNM groups. CONCLUSION The renal function parameters P, Tmax, C1/2 and 15 min/peak value obtained by dynamic renal imaging based on 6-[18F]FPyGly could reflect changes of renal function in rats, which had a good correlation with SCr and BUN, and showed more efficient in the diagnosis of diabetic nephropathy and renal function classification than SCr and BUN.
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Affiliation(s)
- Hongliang Wang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China.
| | - Liu Yang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Keyi Lu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Xiaoshan Guo
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Rui Xi
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Weixuan Dong
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Kaixin Qin
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Haiyan Liu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Hua Wei
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Yan Cheng
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China
| | - Zhifang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China.
| | - Sijin Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China; Collaborative Innovation Center for Molecular Imaging of Precision Medicine Shanxi Medical University, Taiyuan, Shanxi 030001, People's Republic of China.
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24
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Rathi N, Yasuda Y, Palacios DA, Attawettayanon W, Li J, Bhindi B, Thompson RH, Liss MA, Derweesh IH, Weight CJ, Eltemamy M, Abouassaly R, Campbell SC. Split Renal Function Is Fundamentally Important for Predicting Functional Recovery After Radical Nephrectomy. EUR UROL SUPPL 2022; 40:112-116. [PMID: 35572817 PMCID: PMC9093013 DOI: 10.1016/j.euros.2022.04.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | | | - Jianbo Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Bimal Bhindi
- Section of Urology, University of Calgary, Calgary, AB, Canada
| | - R. Houston Thompson
- Department of Urology, Mayo Medical School and Mayo Clinic, Rochester, MN, USA
| | - Michael A. Liss
- Department of Urology, UT Health San Antonio, San Antonio, TX, USA
| | - Ithaar H. Derweesh
- Department of Urology, University of California San Diego School of Medicine, La Jolla, CA, USA
| | | | - Mohammed Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Steven C. Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
- Corresponding author. Center for Urologic Oncology, Glickman Urologic and Kidney Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA. Tel. +1 216 444 5595; Fax: +1 216 445 2267.
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25
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Rathi N, Palacios DA, Abramczyk E, Tanaka H, Ye Y, Li J, Yasuda Y, Abouassaly R, Eltemamy M, Wee A, Weight C, Campbell SC. Predicting GFR after radical nephrectomy: the importance of split renal function. World J Urol 2022; 40:1011-1018. [PMID: 35022828 DOI: 10.1007/s00345-021-03918-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/26/2021] [Indexed: 01/30/2023] Open
Abstract
PURPOSE To evaluate a conceptually simple model to predict new-baseline-glomerular-filtration-rate (NBGFR) after radical nephrectomy (RN) based on split-renal-function (SRF) and renal-functional-compensation (RFC), and to compare its predictive accuracy against a validated non-SRF-based model. RN should only be considered when the tumor has increased oncologic potential and/or when there is concern about perioperative morbidity with PN due to increased tumor complexity. In these circumstances, accurate prediction of NBGFR after RN can be important, with a threshold NBGFR > 45 ml/min/1.73m2 correlating with improved overall survival. METHODS 236 RCC patients who underwent RN (2010-2012) with preoperative imaging (CT/MRI) and relevant functional data were included. NBGFR was defined as GFR 3-12 months post-RN. SRF was determined using semi-automated software that provides differential parenchymal-volume-analysis (PVA) from preoperative imaging. Our SRF-based model was: Predicted NBGFR = 1.24 (× Global GFRPre-RN) (× SRFContralateral), with 1.24 representing the mean RFC estimate from independent analyses. A non-SRF-based model was also assessed: Predicted NBGFR = 17 + preoperative GFR (× 0.65)-age (× 0.25) + 3 (if tumor > 7 cm)-2 (if diabetes). Alignment between predicted/observed NBGFR was assessed by comparing correlation coefficients and area-under-the-curve (AUC) analyses. RESULTS The correlation-coefficients (r) were 0.87/0.72 for SRF-based/non-SRF-based models, respectively (p = 0.005). For prediction of NBGFR > 45 ml/min/1.73m2, the SRF-based/non-SRF-based models provided AUC of 0.94/0.87, respectively (p = 0.044). CONCLUSION Previous non-SRF-based models to predict NBGFR post-RN are complex and omit two important parameters: SRF and RFC. Our proposed model prioritizes these parameters and provides a conceptually simple, accurate, and clinically implementable approach to predict NBGFR post-RN. SRF can be easily obtained using PVA software that is affordable, readily available (FUJIFILM-Medical-Systems), and more accurate than nuclear-renal-scans. The SRF-based model demonstrates greater predictive-accuracy than a non-SRF-based model, including the clinically-important predictive-threshold of NBGFR > 45 ml/min/1.73m2.
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Affiliation(s)
- Nityam Rathi
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Diego A Palacios
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Emily Abramczyk
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Hajime Tanaka
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.,Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yunlin Ye
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.,Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jianbo Li
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Yosuke Yasuda
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.,Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Robert Abouassaly
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Mohamed Eltemamy
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Alvin Wee
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Christopher Weight
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Steven C Campbell
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Room Q10-120, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
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Bai K, Hou Y, Zhang Z, Xing X, Zhu W, Zou X, Sun J. Ability of volume measures of hydronephrosis to predict need for surgery and evaluate renal function in children with ureteropelvic junction obstruction. Int J Urol 2021; 29:235-241. [PMID: 34872161 DOI: 10.1111/iju.14755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 11/16/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To explore the efficacy of quantitative renal volume measures on magnetic resonance urography images in predicting need for surgery among children with ureteropelvic junction obstruction and their ability to evaluate renal function. METHODS A total of 88 cases of hydronephrosis in 50 patients were collected between 1 April 2018 and 31 March 2020, including 30 operated kidney and 58 unoperated kidney cases. Clinical data were collected, and quantitative analysis of magnetic resonance urography was performed. Renal volume, hydronephrosis volume and the volume ratio of hydronephrosis (hydronephrosis volume/renal volume) were measured and calculated. We analyzed the relationships between the above indices in the two groups and compared these with renal function. RESULTS Compared with the unoperated kidney group, hydronephrosis volume, renal volume and hydronephrosis volume/renal volume of the operated kidney group increased significantly. Hydronephrosis volume (area under the curve 0.972, 95% confidence interval 0.943-1.000; P < 0.001) and hydronephrosis volume/renal volume (area under the curve 0.968, 95% confidence interval 0.939-0.998; P < 0.001) were superior to ultrasonography and renal function examination in predicting the probability of surgery, and their sensitivity values (hydronephrosis volume/renal volume: 96.67%; hydronephrosis volume: 93.33%) were higher than those of the renal function test (50%). There was a significant difference among different renal function groups in the pairwise comparison of hydronephrosis volume and hydronephrosis volume/renal volume (P < 0.05). CONCLUSION Quantitative volume measures of hydronephrosis by magnetic resonance urography had a greater ability to predict need for surgery than ultrasonography and dynamic renal imaging, and it can be used as method by which to evaluate surgery. Hydronephrosis volume and hydronephrosis volume/renal volume have greater predictive ability, and play an important role in the deterioration of renal function.
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Affiliation(s)
- Kaiping Bai
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yanping Hou
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyuan Zhang
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaoyu Xing
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiwen Zhu
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiangyu Zou
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jie Sun
- Department of Urology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
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27
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Palacios DA, Campbell RA, Yasuda Y, Roversia G, Munoz-Lopez C, Abramczyk E, Kelly M, Caraballo ER, Suk-Ouichai C, Lin L, Weight C, Abouassaly R, Campbell SC. Parenchymal Volume Replacement by Renal Cell Carcinoma Prior to Intervention: Predictive Factors and Functional Implications. Urology 2021; 159:139-145. [PMID: 34606882 DOI: 10.1016/j.urology.2021.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/06/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To analyze predictors, extent and functional implications associated with renal parenchymal volume replacement (PVR) by renal cell carcinoma (RCC) prior to intervention. This phenomenon is well-recognized yet not adequately studied, and, if severe, can influence management. MATERIALS AND METHODS A retrospective review was performed of partial nephrectomy (PN) and radical nephrectomy (RN) patients with available preoperative nuclear-renal-scan and imaging demonstrating solitary RCC with normal contralateral kidney. Normal renal parenchymal volume of each kidney was measured by free-hand scripting from preoperative axial images. Primary endpoint was percent PVR which was estimated assuming that the contralateral-kidney serves as a control: PVR = (volume contralateral kidney - volume ipsilateral kidney) normalized by volume contralateral kidney. Multivariable linear-regression analysis assessed factors associated with preoperative PVR. Further analysis evaluated the functional effect of PVR prior to surgery. RESULTS 146 PN and 136 RN patients with necessary studies were analyzed. For RN, the median PVR was 15% and a quarter of patients had PVR ≥27%. In contrast, PVR was negligible in PN patients for whom median preoperative parenchymal volumes were nearly identical in the ipsilateral/contralateral kidneys (179/180cc, respectively). PVR inversely correlated with preoperative renal function in the ipsilateral kidney (P <.01). Tumor-size (P <.01), stage (P = .03), and endophytic properties (P = .03) associated with PVR on multivariable-analysis. CONCLUSION Our data suggest that substantial replacement of normal parenchyma by RCC occurs in many patients selected for RN and can contribute to preexisting renal-insufficiency. PVR prior to intervention is mainly driven by tumor characteristics in RN patients, but is negligible in most PN patients.
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Affiliation(s)
- Diego Aguilar Palacios
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Rebecca A Campbell
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Yosuke Yasuda
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Gustavo Roversia
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Carlos Munoz-Lopez
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Emily Abramczyk
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Maureen Kelly
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Elvis R Caraballo
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Chalairat Suk-Ouichai
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Division of Urology, Department of Surgery, Siriraj Hospital, Mahidol University, BKK, Bangkok, Thailand
| | - Lin Lin
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Chris Weight
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Robert Abouassaly
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Steven C Campbell
- Center for Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
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Quantitative evaluation of chronically obstructed kidneys from noncontrast computed tomography based on deep learning. Eur J Radiol 2021; 136:109535. [PMID: 33460954 DOI: 10.1016/j.ejrad.2021.109535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/09/2020] [Accepted: 01/05/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To quantitatively report renal parenchymal volume (RPV), renal sinus volume (RSV), and renal parenchymal density (RPD) for chronically obstructed kidneys from noncontrast computed tomography (NCCT). METHODS This retrospective study was approved by the institutional review board of our hospital with a waiver of informed consent. We retrospectively collected 304 consecutive NCCT scans of urinary obstruction and constructed two datasets: one with 167 patient scans for parenchyma and sinus segmentation (segmentation dataset) and the other containing 137 scans from different patients diagnosed with chronic urinary obstruction (CUO dataset) and paired with split glomerular filtration rate (sGFR). A cascaded three-dimensional (3D) U-Net model was developed and validated for parenchyma and sinus segmentation. The RPV, RSV, and RPD of the CUO dataset were calculated by the model with manual editing. A multivariate analysis was performed to show the association between all parameters and the sGFR. RESULTS In the test dataset, the Dice values for parenchyma and sinus segmentation were 0.95 ± 0.04 and 0.90 ± 0.05, respectively. Compared with those of nonobstructed kidneys, the RSV and RPD of obstructed kidneys increased, but RPV and sGFR decreased (P < .001). For chronically obstructed kidneys, age (r = -0.292, P < .001), RPV (r = 0.849, P < .001), RSV (r = -0.331, P < .001), and RPD (r = -0.296, P < .001) were significantly correlated with sGFR. The fitted regression model was sGFR = 10.873-0.111 Age + 0.211 RPV - 0.022 RSV (r2 = 0.712). CONCLUSIONS NCCT combined with deep learning has the potential to be a single radiological procedure for morphological and functional evaluation of chronically obstructed kidneys.
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