Clinical trial · Observational
Residual Normal Renal Parenchymal and Tumor Volume in Tumor Surgeries
Operable Primary Renal Tumors: Pre and Post-operative Volume Evaluation of the Tumor and Rest of the Kidney
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
1. Calculation of the expected residual renal tissue volume using contrast CT in renal tumor patients and its effect on preoperative decision making 2. Calculating the modulation between the residual normal renal tissue volume measured 6 months post operatively and the preoperative estimated normal renal tissue volume. 3. Assessment of the value of adding residual normal renal tissue volume to the PADUA score in decision making. 4. To reach a suggested cut off value of residual renal tissue that is adequate for a NSS trial
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Renal Cell Carcinoma | Renal Cell Carcinoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| contrast CT | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- estimation of the efficacy of contrast CT IN Calculation of the expected residual normal renal tissue volume before renal tumor surgeries
- timeFrame
- 3 years
- description
- comparision between preopertive measured volume by CT and post operative measured volume by CT in NSS and by graded gar in radical nephrectomy after isolation of the normal renal tissue in extracted kidney
Secondary outcomes (1)
- measure
- Assessment of the value of adding residual normal renal tissue volume to the PADUA score in decision making To reach a suggested cut off value of residual renal tissue that is adequate for a NSS trial
- timeFrame
- 4 years
- description
- study the efficacy of residual normal renal tissue volume in decision making in tumor surgeries and if it have a true rule it what is the cut of value for NSS and can it be added as a fixed measurement to the items of PADUA score
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * All patients presented to oncology outpatient clinic in Assuit urology hospital diagnosed by contrast CT to have renal mass who are surgically fit for radical nephrectomy or NSS surgery. Exclusion Criteria: * 1-Patient who diagnosed to have stage T4 renal mass according to TNM staging. 2-CRI patients who cannot perform contrast study. 3-patients with tumors in non-functioning kidney 4-patients with secondary renal tumors
References
Publications (4)
- BACKGROUNDLong CJ, Canter DJ, Kutikov A, Li T, Simhan J, Smaldone M, Teper E, Viterbo R, Boorjian SA, Chen DY, Greenberg RE, Uzzo RG. Partial nephrectomy for renal masses >/= 7 cm: technical, oncological and functional outcomes. BJU Int. 2012 May;109(10):1450-6. doi: 10.1111/j.1464-410X.2011.10608.x. Epub 2012 Jan 5. PMID 22221502
- BACKGROUNDIsotani S, Shimoyama H, Yokota I, Noma Y, Kitamura K, China T, Saito K, Hisasue S, Ide H, Muto S, Yamaguchi R, Ukimura O, Gill IS, Horie S. Novel prediction model of renal function after nephrectomy from automated renal volumetry with preoperative multidetector computed tomography (MDCT). Clin Exp Nephrol. 2015 Oct;19(5):974-81. doi: 10.1007/s10157-015-1082-6. Epub 2015 Jan 25. PMID 25618493
- BACKGROUNDZhang M, Zhao Z, Duan X, Deng T, Cai C, Wu W, Zeng G. Partial versus radical nephrectomy for T1b-2N0M0 renal tumors: A propensity score matching study based on the SEER database. PLoS One. 2018 Feb 28;13(2):e0193530. doi: 10.1371/journal.pone.0193530. eCollection 2018. PMID 29489911
- BACKGROUNDVenkatramani V, Swain S, Satyanarayana R, Parekh DJ. Current Status of Nephron-Sparing Surgery (NSS) in the Management of Renal Tumours. Indian J Surg Oncol. 2017 Jun;8(2):150-155. doi: 10.1007/s13193-016-0587-0. Epub 2017 Jan 30. PMID 28546710