1
|
Cheaib JG, Talwar R, Roberson DS, Alam R, Lee DJ, Gupta M, Patel SH, Singla N, Pavlovich CP, Patel HD, Pierorazio PM. Urologist-level variation in the management of T1a renal cell carcinoma: A population-based cohort study. Urol Oncol 2024; 42:71.e9-71.e18. [PMID: 38278631 DOI: 10.1016/j.urolonc.2024.01.011] [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: 10/21/2023] [Revised: 12/30/2023] [Accepted: 01/08/2024] [Indexed: 01/28/2024]
Abstract
OBJECTIVES Lack of strict indications in current guidelines have led to significant variation in management patterns of small renal masses. The impact of the urologist on the management approach for patients with small renal masses has not been explored previously. MATERIALS AND METHODS Using the linked Surveillance, Epidemiology, and End Results-Medicare database, patients aged ≥66 years diagnosed with small renal masses from January 1, 2004 to December 31, 2013 were identified and assigned to primary urologists. Mixed-effects logistic models were used to evaluate factors associated with different management approaches, estimate urologist-level probabilities of each approach, assess management variation, and determine urologist impact on choice of approach. RESULTS A total of 12,402 patients with 2,794 corresponding primary urologists were included in the study. At the individual urologist level, the estimated case-adjusted probability of different approaches varied markedly: nonsurgical management (mean, 12.8%; range, 4.9%-36.1%); thermal ablation (mean, 10.8%; range, 2.4%-66.3%); partial nephrectomy (mean, 30.1%; range, 10.1%-66.6%); and radical nephrectomy (mean, 40.4%; range, 17.7%-71.6%). Compared to patient and tumor characteristics, the primary urologist was a more influential measured factor, accounting for 13.6% (vs. 12.9%), 33.8% (vs. 2.1%), 15.1% (vs. 8.4%), and 13.5% (vs. 4.0%) of the variation in management choice for nonsurgical management, thermal ablation, partial nephrectomy, and radical nephrectomy, respectively. CONCLUSIONS Significant variation exists in the management of small renal masses and appears to be driven primarily by urologist preference and practice patterns. Our findings emphasize the need for unified guidance regarding management of these masses to reduce unwarranted variation in care.
Collapse
Affiliation(s)
- Joseph G Cheaib
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Ruchika Talwar
- Division of Urology, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Urology, Vanderbilt University Medical Center, Nashville, TN
| | - Daniel S Roberson
- Division of Urology, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Ridwan Alam
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel J Lee
- Division of Urology, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Mohit Gupta
- Department of Urology, MedStar Health-Georgetown University Hospital, Washington, DC
| | - Sunil H Patel
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nirmish Singla
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Christian P Pavlovich
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Hiten D Patel
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Phillip M Pierorazio
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD; Division of Urology, Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| |
Collapse
|
2
|
Lemieux S, Shen L, Liang T, Lo E, Chu Y, Kamaya A, Tse JR. External Validation of a Five-Tiered CT Algorithm for the Diagnosis of Clear Cell Renal Cell Carcinoma: A Retrospective Five-Reader Study. AJR Am J Roentgenol 2023; 221:334-343. [PMID: 37162037 DOI: 10.2214/ajr.23.29151] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND. In 2022, a five-tiered CT algorithm was proposed for predicting whether a small (cT1a) solid renal mass represents clear cell renal cell carcinoma (ccRCC). OBJECTIVE. The purpose of this external validation study was to evaluate the proposed CT algorithm for diagnosis of ccRCC among small solid renal masses. METHODS. This retrospective study included 93 patients (median age, 62 years; 42 women, 51 men) with 97 small solid renal masses that were seen on corticomedullary phase contrast-enhanced CT performed between January 2012 and July 2022 and subsequently underwent surgical resection. Five readers (three attending radiologists, two clinical fellows) independently evaluated masses for the mass-to-cortex corticomedullary attenuation ratio and heterogeneity score; these scores were used to derive the CT score by use of the previously proposed CT algorithm. The CT score's sensitivity, specificity, and PPV for ccRCC were calculated at threshold of 4 or greater, and the NPV for ccRCC was calculated at a threshold of 3 or greater (consistent with thresholds in studies of the MRI-based clear cell likelihood score and the CT algorithm's initial study). The CT score's sensitivity and specificity for papillary RCC were calculated at a threshold of 2 or less. Interreader agreement was assessed using the Gwet agreement coefficient (AC1). RESULTS. Overall, 61 of 97 masses (63%) were malignant and 43 of 97 (44%) were ccRCC. Across readers, CT score had sensitivity ranging from 47% to 95% (pooled sensitivity, 74% [95% CI, 68-80%]), specificity ranging from 19% to 83% (pooled specificity, 59% [95% CI, 52-67%]), PPV ranging from 48% to 76% (pooled PPV, 59% [95% CI, 49-71%]), and NPV ranging from 83% to 100% (pooled NPV, 90% [95% CI, 84-95%]), for ccRCC. A CT score of 2 or less had sensitivity ranging from 44% to 100% and specificity ranging from 77% to 98% for papillary RCC (representing nine of 97 masses). Interreader agreement was substantial for attenuation score (AC1 = 0.70), poor for heterogeneity score (AC1 = 0.17), fair for five-tiered CT score (AC1 = 0.32), and fair for dichotomous CT score at a threshold of 4 or greater (AC1 = 0.24 [95% CI, 0.14-0.33]). CONCLUSION. The five-tiered CT algorithm for evaluation of small solid renal masses was tested in an external sample and showed high NPV for ccRCC. CLINICAL IMPACT. The CT algorithm may be used for risk stratification and patient selection for active surveillance by identifying patients unlikely to have ccRCC.
Collapse
Affiliation(s)
- Simon Lemieux
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Luyao Shen
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Tie Liang
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Edward Lo
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Youngmin Chu
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Aya Kamaya
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| | - Justin R Tse
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Rm H-1307, Stanford, CA 94305
| |
Collapse
|
3
|
Cruz A, Dickerson F, Pulling KR, Garcia K, Gachupin FC, Hsu CH, Chipollini J, Lee BR, Batai K. Impacts of Neighborhood Characteristics and Surgical Treatment Disparities on Overall Mortality in Stage I Renal Cell Carcinoma Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:2050. [PMID: 35206240 PMCID: PMC8872003 DOI: 10.3390/ijerph19042050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/15/2022] [Accepted: 02/09/2022] [Indexed: 12/20/2022]
Abstract
Racial/ethnic minority groups in the United States have high renal cell carcinoma (RCC) mortality rates. This study assessed surgical treatment disparities across racial/ethnic groups and impacts of neighborhood socioeconomic characteristics on surgical treatments and overall mortality. Stage I RCC patients diagnosed between 2004 and 2016 from National Cancer Database were included (n = 238,141). We assessed differences in associations between race/ethnicity and treatment patterns using logistic regression and between race/ethnicity and overall mortality using Cox regression with and without neighborhood characteristics in the regression models. When compared to non-Hispanic Whites (NHWs), American Indians/Alaska Natives and non-Hispanic Blacks (NHBs) were more likely not to receive surgical care and all racial/ethnic minority groups had significantly increased odds of undergoing radical rather than partial nephrectomy, even after adjusting for neighborhood characteristics. Including surgical treatment and neighborhood factors in the models slightly attenuated the association, but NHBs had a significantly increased risk of overall mortality. NHBs who underwent radical nephrectomy had an increased risk of mortality (HR 1.15, 95% CI: 1.08-1.23), but not for NHBs who underwent partial nephrectomy (HR 0.92, 95% CI: 0.84-1.02). Neighborhood factors were associated with surgical treatment patterns and overall mortality in both NHBs and NHWs. Neighborhood socioeconomic factors may only partly explain RCC disparities.
Collapse
Affiliation(s)
- Alejandro Cruz
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Faith Dickerson
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Kathryn R. Pulling
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Kyle Garcia
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Francine C. Gachupin
- Department of Family and Community Medicine, University of Arizona, Tucson, AZ 85711, USA;
| | - Chiu-Hsieh Hsu
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85724, USA;
| | - Juan Chipollini
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Benjamin R. Lee
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| | - Ken Batai
- Department of Urology, University of Arizona, Tucson, AZ 85724, USA; (A.C.); (F.D.); (K.R.P.); (K.G.); (J.C.); (B.R.L.)
| |
Collapse
|
4
|
Schieda N, Krishna S, Pedrosa I, Kaffenberger SD, Davenport MS, Silverman SG. Active Surveillance of Renal Masses: The Role of Radiology. Radiology 2021; 302:11-24. [PMID: 34812670 DOI: 10.1148/radiol.2021204227] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Active surveillance of renal masses, which includes serial imaging with the possibility of delayed treatment, has emerged as a viable alternative to immediate therapeutic intervention in selected patients. Active surveillance is supported by evidence that many benign masses are resected unnecessarily, and treatment of small cancers has not substantially reduced cancer-specific mortality. These data are a call to radiologists to improve the diagnosis of benign renal masses and differentiate cancers that are biologically aggressive (prompting treatment) from those that are indolent (allowing treatment deferral). Current evidence suggests that active surveillance results in comparable cancer-specific survival with a low risk of developing metastasis. Radiology is central in this. Imaging is used at the outset to estimate the probability of malignancy and degree of aggressiveness in malignant masses and to follow up masses for growth and morphologic change. Percutaneous biopsy is used to provide a more definitive histologic diagnosis and to guide treatment decisions, including whether active surveillance is appropriate. Emerging applications that may improve imaging assessment of renal masses include standardized assessment of cystic and solid masses and radiomic analysis. This article reviews the current and future role of radiology in the care of patients with renal masses undergoing active surveillance.
Collapse
Affiliation(s)
- Nicola Schieda
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Satheesh Krishna
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ivan Pedrosa
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Samuel D Kaffenberger
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Matthew S Davenport
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Stuart G Silverman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| |
Collapse
|
5
|
Chandrasekar T, Boorjian SA, Capitanio U, Gershman B, Mir MC, Kutikov A. Collaborative Review: Factors Influencing Treatment Decisions for Patients with a Localized Solid Renal Mass. Eur Urol 2021; 80:575-588. [PMID: 33558091 DOI: 10.1016/j.eururo.2021.01.021] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Accepted: 01/15/2021] [Indexed: 02/06/2023]
Abstract
CONTEXT With the addition of active surveillance and thermal ablation (TA) to the urologist's established repertoire of partial (PN) and radical nephrectomy (RN) as first-line management options for localized renal cell carcinoma (RCC), appropriate treatment decision-making has become increasingly nuanced. OBJECTIVE To critically review the treatment options for localized, nonrecurrent RCC; to highlight the patient, renal function, tumor, and provider factors that influence treatment decisions; and to provide a framework to conceptualize that decision-making process. EVIDENCE ACQUISITION A collaborative critical review of the medical literature was conducted. EVIDENCE SYNTHESIS We identify three key decision points when managing localized RCC: (1) decision for surveillance versus treatment, (2) decision regarding treatment modality (TA, PN, or RN), and (3) decision on surgical approach (open vs minimally invasive). In evaluating factors that influence these treatment decisions, we elaborate on patient, renal function, tumor, and provider factors that either directly or indirectly impact each decision point. As current nomograms, based on preselected patient datasets, perform poorly in prospective settings, these tools should be used with caution. Patient decision aids are an underutilized tool in decision-making. CONCLUSIONS Localized RCC requires highly nuanced treatment decision-making, balancing patient- and tumor-specific clinical variables against indirect structural influences to provide optimal patient care. PATIENT SUMMARY With expanding treatment options for localized kidney cancer, treatment decision is highly nuanced and requires shared decision-making. Patient decision aids may be helpful in the treatment discussion.
Collapse
Affiliation(s)
- Thenappan Chandrasekar
- Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA.
| | | | - Umberto Capitanio
- Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy
| | - Boris Gershman
- Division of Urologic Surgery, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Maria Carmen Mir
- Department of Urology, Fundación Instituto Valenciano Oncologia, Valencia, Spain
| | - Alexander Kutikov
- Division of Urologic Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| |
Collapse
|
6
|
Patel AK, Rogers CG, Johnson A, Noyes SL, Qi J, Miller D, Shervish E, Stockton B, Lane BR. Initial Observation of a Large Proportion of Patients Presenting with Clinical Stage T1 Renal Masses: Results from the MUSIC-KIDNEY Statewide Collaborative. EUR UROL SUPPL 2021; 23:13-19. [PMID: 34337485 PMCID: PMC8317780 DOI: 10.1016/j.euros.2020.11.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND While surgical excision remains the principal management strategy for clinical T1 renal masses (cT1RMs), the rates of noninterventional approaches are not well known. Most single-institution and population-based series suggest rates below 10%. OBJECTIVE To evaluate the use of observation for newly diagnosed cT1RM patients in academic and community-based practices across a statewide collaborative. DESIGN SETTING AND PARTICIPANTS The Michigan Urological Surgery Improvement Collaborative-Kidney mass: Identifying and Defining Necessary Evaluation and therapY (MUSIC-KIDNEY) commenced data collection in September 2017 by recording clinical, radiographic, pathologic, and short-term follow-up data for cT1RM patients at 13 diverse practices. Patients with complete data were assessed at >90 d after initial evaluation as to whether observation or treatment was performed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Relationships with outcomes were analyzed using multivariable logistic regression, chi-square test, and Wilcoxon rank-sum test. RESULTS AND LIMITATIONS Out of 965 patients, observation was employed in 48% (n = 459), with practice-level rates ranging from 0% to 68%. Patients managed with observation (vs treatment) were significantly older (71.2 vs 62.8 yr, p < 0.0001) and had smaller tumors (2.3 vs 3.4 cm, p < 0.0001). Observation was used for 53.5% of cT1a renal masses, for 29.9% of cT1b renal masses, and for 42.5%, 53.7%, and 63.9% of radiographically solid, Bosniak III-IV cystic, and indeterminate cT1RMs, respectively. Factors significantly associated with observation in multivariable analysis included lesion type (Bosniak III-IV vs solid, p = 0.017), tumor stage (cT1a vs cT1b, p < 0.001), and higher age (p < 0.001). A short duration of follow-up limits the assessment of longer-term patient management. CONCLUSIONS Noninterventional management of cT1RMs is common across the MUSIC-KIDNEY collaborative, with wide variability across practices. Factors associated with observation were advanced age, smaller tumor size, and cystic tumor type. Durability of the initial decision for observation (delayed intervention vs active surveillance vs less active surveillance) will be a focus of subsequent study. PATIENT SUMMARY The Michigan Urological Surgery Improvement Collaborative: Kidney mass: Identifying and Defining Necessary Evaluation and therapY (MUSIC-KIDNEY) quality improvement collaborative assessed the current utilization of initial observation of a renal mass ≤7 cm across a diverse group of urology practices and found it to be used in 48% of patients. We found that the factors predicting observation were advanced age, smaller tumor size, and cystic tumor type.
Collapse
Affiliation(s)
| | | | - Anna Johnson
- Department of Urology, Michigan Medicine, Ann Arbor, MI, USA
| | | | - Ji Qi
- Department of Urology, Michigan Medicine, Ann Arbor, MI, USA
| | - David Miller
- Department of Urology, Michigan Medicine, Ann Arbor, MI, USA
| | | | | | - Brian R. Lane
- Spectrum Health Hospital System, Grand Rapids, MI, USA
- Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| | | |
Collapse
|
7
|
Parker WP. When Histology Is Not Enough: Is it Time for Genomics to Establish a Diagnosis? Eur Urol 2020; 79:112-113. [PMID: 33092895 DOI: 10.1016/j.eururo.2020.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 10/02/2020] [Indexed: 10/23/2022]
Affiliation(s)
- William P Parker
- Department of Urology, The University of Kansas Health System, Kansas City, KS, USA.
| |
Collapse
|
8
|
Marchioni M, Cheaib JG, Takagi T, Pavan N, Antonelli A, Everaerts W, Heck M, Rha KH, Mottrie A, Kaouk J, Capitanio U, Lima E, Veccia A, Crivellaro S, Linares E, Celia A, Porpiglia F, Autorino R, DI Nicola M, Schips L, Pierorazio PM, Mir MC. Active surveillance for small renal masses in elderly patients does not increase overall mortality rates compared to primary intervention: a propensity score weighted analysis. Minerva Urol Nephrol 2020; 73:781-788. [PMID: 32993273 DOI: 10.23736/s2724-6051.20.03785-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND The aim of the study was to test the effect of active surveillance (AS) versus primary intervention (PI) on overall mortality (OM) in elderly patients diagnosed with SRM. METHODS Elderly patients (75 years or older) diagnosed with SRMs (<4 cm) and treated with either PI (i.e. partial nephrectomy or kidney ablation) or AS between 2009 and 2018 were abstracted from the renal surgery in the elderly (RESURGE) and Delayed Intervention and Surveillance for small Renal Masses (DISSRM) datasets, respectively. OM rates were estimated among groups with Kaplan Meier method and Cox proportional hazards regression models after applying inverse probability of treatment weighting (IPTW). Multivariable logistic regression model was used to estimate IPTW. Covariates of interest were those unbalanced and/or significantly correlated with the treatment choice or with OM. RESULTS A total of 483 patients were included; 121 (25.1%) underwent AS. Sixty patients (12.4%) died. Overall, 6.7% of all deaths were related to cancer. IPTW-Kaplan Meier curves showed a 5-year overall survival rates of 70.0±3.5% and 73.2±4.8% in AS and PI groups, respectively (IPTW-Log-rank P value=0.308). IPTW-Cox regression model did not show meaningfully increased OM rates in AS group (HR: 1.31, 95% CI: 0.69-2.49). CONCLUSIONS AS represents an appealing treatment option for very elderly patients presenting with SRM, as it avoids the risks of a PI while not compromising the survival outcomes of these patients.
Collapse
Affiliation(s)
- Michele Marchioni
- Department of Medical, Oral and Biotechnological Sciences, Laboratory of Biostatistics, G. D'Annunzio University, Chieti, Chieti-Pescara, Italy.,Department of Urology, SS Annunziata Hospital, G. D'Annunzio University, Chieti, Chieti-Pescara, Italy
| | - Joseph G Cheaib
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Toshio Takagi
- Department of Urology, Kidney Center, Tokyo Women's Medical University, Tokyo, Japan
| | - Nicola Pavan
- Department of Medical, Surgical and Health Science, Clinic of Urology, University of Trieste, Trieste, Italy
| | - Alessandro Antonelli
- Department of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy
| | | | - Matthias Heck
- Department of Urology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Koon H Rha
- Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea
| | | | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Umberto Capitanio
- Unit of Urology, Division of Oncology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy
| | - Estevão Lima
- Department of Urology, Hospital of Braga, Braga, Portugal
| | - Alessandro Veccia
- Department of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy.,Division of Urology, VCU Medical Center, Richmond, VA, USA
| | | | | | - Antonio Celia
- Department of Urology, San Bassiano Hospital, Bassano del Grappa, Vicenza, Italy
| | - Francesco Porpiglia
- Department of Urology, School of Medicine, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
| | | | - Marta DI Nicola
- Department of Medical, Oral and Biotechnological Sciences, Laboratory of Biostatistics, G. D'Annunzio University, Chieti, Chieti-Pescara, Italy
| | - Luigi Schips
- Department of Urology, SS Annunziata Hospital, G. D'Annunzio University, Chieti, Chieti-Pescara, Italy
| | - Phillip M Pierorazio
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Maria Carmen Mir
- Department of Urology, Instituto Valenciano de Oncología (IVO), Valencia, Spain -
| |
Collapse
|
9
|
Distinguishing Benign Renal Tumors with an Oncocytic Gene Expression (ONEX) Classifier. Eur Urol 2020; 79:107-111. [PMID: 32972793 DOI: 10.1016/j.eururo.2020.09.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 09/04/2020] [Indexed: 01/09/2023]
Abstract
Renal oncocytoma (RO) accounts for 5% of renal cancers and generally behaves as a benign tumor with favorable long-term prognosis. It is difficult to confidently distinguish between benign RO and other renal malignancies, particularly chromophobe renal cell carcinoma (chRCC). Therefore, RO is often managed aggressively with surgery. We sought to identify molecular biomarkers to distinguish RO from chRCC and other malignant renal cancer mimics. In a 44-patient discovery cohort, we identified a significant differential abundance of nine genes in RO relative to chRCC. These genes were used to train a classifier to distinguish RO from chRCC in an independent 57-patient cohort. The trained classifier was then validated in five independent cohorts comprising 89 total patients. This nine-gene classifier trained on the basis of differential gene expression showed 93% sensitivity and 98% specificity for distinguishing RO from chRCC across the pooled validation cohorts, with a c-statistic of 0.978. This tool may be a useful adjunct to other diagnostic modalities to decrease the diagnostic and management uncertainty associated with small renal masses and to enable clinicians to recommend more confidently less aggressive management for some tumors. PATIENT SUMMARY: Renal oncocytoma is generally a benign form of kidney cancer that does not necessarily require surgical removal. However, it is difficult to distinguish renal oncocytoma from other more aggressive forms of kidney cancer, so it is treated most commonly with surgery. We built a classification tool based on the RNA levels of nine genes that may help avoid these surgeries by reliably distinguishing renal oncocytoma from other forms of kidney cancer.
Collapse
|
10
|
Martínez Rodríguez C, Tardáguila de la Fuente G, Villanueva Campos A. Current management of small renal masses. RADIOLOGIA 2020. [DOI: 10.1016/j.rxeng.2020.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
11
|
Martínez Rodríguez C, Tardáguila de la Fuente G, Villanueva Campos AM. Current management of small renal masses. RADIOLOGIA 2019; 62:167-179. [PMID: 31882171 DOI: 10.1016/j.rx.2019.11.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 11/18/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022]
Abstract
One of the consequences of the growing use of diagnostic imaging techniques is the notable growth in the detection of small renal masses presumably corresponding to localized tumors that are potentially curable with surgical treatment. When faced with the finding of a small renal mass, radiologists must determine whether it is benign or malignant, and if it is malignant, what subtype it belong to, and whether it should be managed with surgical treatment, with ablative techniques, or with watchful waiting with active surveillance. Small renal masses are now a clinical entity that require management different from the approaches used for classical renal cell carcinomas. In this scenario, radiologists are key because they are involved in all aspects of the management of these tumors, including in their diagnosis, treatment, and follow-up.
Collapse
|
12
|
Lobo JM, Clements MB, Bitner DP, Mikula MD, Noona SW, Sultan MI, Cathro HP, Lambert DL, Schenkman NS, Krupski TL. Does renal mass biopsy influence multidisciplinary treatment recommendations? Scand J Urol 2019; 54:27-32. [PMID: 31868063 DOI: 10.1080/21681805.2019.1703805] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Purpose: To examine how a multidisciplinary team approach incorporating renal mass biopsy (RMB) into decision making changes the management strategy.Methods: A multidisciplinary team comprised of a radiology proceduralist, a pathologist and urologists convened monthly for renal mass conference with a structured presentation of patient demographics, co-mborbidities, tumor pathology, laboratory and radiographic features. Biopsy protocol was standardized to an 18-gauge core needle biopsy using a sheathed apparatus under renal ultrasound guidance. Biopsy diagnostic rate, and concordance with nephrectomy specimens were summarized. Descriptive statistics were used to evaluate influence of RMB on management decisions.Results: A total of 83 patients with a ≤4 cm mass were discussed, and 66% of patients underwent RMB. Of those, 87% were diagnostic with 9% of core biopsies showing benign pathology. Active surveillance (AS) was recommended for 34% of patients with biopsy data as compared to 64% of those without biopsy. Ablation was recommended for 38% of the biopsy cohort compared to 7% without biopsy. Partial nephrectomy rates were similar for both cohorts, approximately 17% and 22%, respectively. Our complication rate was 1.5%, with only 1 Clavien-Dindo Grade 2 complication. Histology was concordant in 93% of patients that ultimately underwent partial nephrectomy after biopsy.Conclusions: Over half of our SRM patients underwent a RMB that provided a diagnosis in 85% of cases. RMB aided in shared decision making by providing insight into the biology of renal masses, which helps to guide multidisciplinary management and consideration of nephron sparing options.
Collapse
Affiliation(s)
- Jennifer M Lobo
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | | | - Daniel P Bitner
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| | - Matthew D Mikula
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| | - Sean W Noona
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| | - Mark I Sultan
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| | - Helen P Cathro
- Department of Pathology, University of Virginia, Charlottesville, VA, USA
| | - Drew L Lambert
- Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Noah S Schenkman
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| | - Tracey L Krupski
- Department of Urology, University of Virginia, Charlottesville, VA, USA
| |
Collapse
|
13
|
Batai K, Harb-De la Rosa A, Zeng J, Chipollini JJ, Gachupin FC, Lee BR. Racial/ethnic disparities in renal cell carcinoma: Increased risk of early-onset and variation in histologic subtypes. Cancer Med 2019; 8:6780-6788. [PMID: 31509346 PMCID: PMC6826053 DOI: 10.1002/cam4.2552] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 08/23/2019] [Accepted: 08/28/2019] [Indexed: 12/23/2022] Open
Abstract
Background Racial/ethnic minority groups have a higher burden of renal cell carcinoma (RCC), but RCC among Hispanic Americans (HAs) and American Indians and Alaska Natives (AIs/ANs) are clinically not well characterized. We explored variations in age at diagnosis and frequencies of RCC histologic subtypes across racial/ethnic groups and Hispanic subgroups using National Cancer Database (NCDB) and Arizona Cancer Registry Data. Methods Adult RCC cases with known race/ethnicity were included. Logistic regression analysis was performed to estimate odds and 95% confidence interval (CI) of early‐onset (age at diagnosis <50 years) and diagnosis with clear cell RCC (ccRCC) or papillary RCC. Results A total of 405 073 RCC cases from NCDB and 9751 cases from ACR were identified and included. In both datasets, patients from racial/ethnic minority groups had a younger age at diagnosis than non‐Hispanic White (NHW) patients. In the NCDB, AIs/ANs had twofold increased odds (OR, 2.21; 95% CI, 1.88‐2.59) of early‐onset RCC compared with NHWs. HAs also had twofold increased odds of early‐onset RCC (OR, 2.14; 95% CI, 1.79‐2.55) in the ACR. In NCDB, ccRCC was more prevalent in AIs (86.3%) and Mexican Americans (83.5%) than NHWs (72.5%). AIs/ANs had twofold increased odds of diagnosis with ccRCC (OR, 2.18; 95% CI, 1.85‐2.58) in the NCDB, but the association was stronger in the ACR (OR, 2.83; 95% CI, 2.08‐3.85). Similarly, Mexican Americans had significantly increased odds of diagnosis with ccRCC (OR, 2.00; 95% CI, 1.78‐2.23) in the NCDB. Conclusions This study reports younger age at diagnosis and higher frequencies of ccRCC histologic subtype in AIs/ANs and Hispanic subgroups. These variations across racial/ethnic groups and Hispanic subgroups may have potential clinical implications.
Collapse
Affiliation(s)
- Ken Batai
- Department of Urology, University of Arizona, Tucson, Arizona
| | | | - Jiping Zeng
- Department of Urology, University of Arizona, Tucson, Arizona
| | | | - Francine C Gachupin
- Department of Family and Community Medicine, University of Arizona, Tucson, Arizona
| | - Benjamin R Lee
- Department of Urology, University of Arizona, Tucson, Arizona
| |
Collapse
|
14
|
Sohlberg EM, Metzner TJ, Leppert JT. The Harms of Overdiagnosis and Overtreatment in Patients with Small Renal Masses: A Mini-review. Eur Urol Focus 2019; 5:943-945. [PMID: 30905599 DOI: 10.1016/j.euf.2019.03.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/25/2019] [Accepted: 03/10/2019] [Indexed: 10/27/2022]
Abstract
Overdiagnosis and overtreatment refer to the detection and treatment of conditions that would not ultimately affect an individual's health. With increasing detection of small renal masses there is growing awareness of the overdiagnosis and overtreatment of these tumors, supported by studies showing that 15-30% of nephrectomy specimens are pathologically benign, and that many small renal cell carcinomas are indolent. The harms of overdiagnosis and overtreatment are numerous, including psychosocial stressors and renal morbidity, in addition to unnecessary surgical complications. A greater understanding of the potential harms of overdiagnosis and overtreatment is crucial as clinicians focus on optimizing patient selection for renal mass biopsy, active surveillance protocols, and minimally invasive surgery. PATIENT SUMMARY: In this mini-review we discuss the issues of overdiagnosis and overtreatment in patients with kidney cancer. We enumerate the risks of overdiagnosis and overtreatment, and examine the next steps towards preventing these harms.
Collapse
Affiliation(s)
- Ericka M Sohlberg
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Metzner
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; The Stanford Kidney Cancer Research Program, Stanford, CA, USA
| | - John T Leppert
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; The Stanford Kidney Cancer Research Program, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
| |
Collapse
|