Perfusion Scanning's for Kidney Tumors

January 22, 2018 updated by: Nessn Azawi
To investigate the ability of perfusion CT/US-scanning to facilitate recognition of different tumour sub-types in small renal masses less than 7 cm by non-invasive imagining technology.

Study Overview

Status

Completed

Conditions

Detailed Description

The number of diagnoses of renal cell carcinoma has increased over the past two decades because of the incidental detection of small renal tumours resulting from increased use of computed tomography [1,2]. There are distinct subtypes of renal cell carcinoma (RCC), and the biological aggressiveness and prognoses for these subtypes have been documented. Clear-cell RCC is the most common RCC subtype, followed by papillary RCC, chromophobe RCC and unclassified RCC. Collecting duct carcinoma is a rare and highly malignant type of RCC. Although most enhancing renal masses in adults are RCC, a significant percentage are benign (commonly oncocytoma), and these benign tumours cannot be distinguished from malignant tumours based on our standard imaging technology alone.

Benign primary renal masses include simple renal cysts, psuedotumours, angiomyolipomas, oncocytomas, juxtaglomerular tumours, multilocular cystic nephromas, mesoblastic nephromas and papillary adenomas. In a recent surgical series of 228 patients who underwent partial or radical nephrectomy with lesions ≤4 cm, 26.3% were benign [3]. The relatively high percentage of patients with benign renal cortical neoplasms who undergo surgery highlights the importance of new diagnostic technology in avoiding over-treatment.

Ultrasound (US) and CT scanning guided biopsy is the most commonly used method to diagnosis RCC. The sensitivity of biopsy for small masses (≤3 cm) is lower than for large masses [4]. Sensitivity is limited by false-negative results, which are due to a failure to properly target a small mass or the presence of impossible-to-differentiate benign from malignant cells due to insufficient cells, morphological overlap or cellular heterogeneity. Non diagnostic biopsy is not necessary benign, as repeated biopsy reveals malignancy diagnosis in the majority[5]. There is no radiologic criteria consistent with oncocytoma because of a lack of sensitivity and specificity [6]. MR-scanning and CT-scanning are not feasible diagnostic methodologies for oncocytoma because of the possibility of overlapping results from oncocytoma and RCC [7].

Hypotheses: To investigate the ability of perfusion CT/US-scanning to facilitate recognition of different tumour sub-types in small renal masses less than 7 cm by non-invasive imagining technology.

Purpose: To recognize different subtype's renal tumor by non invasive scanning. Design: A descriptive study

Study Type

Observational

Enrollment (Actual)

56

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Roskilde, Denmark, 4000
        • Roskilde Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

35 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

the cohort will be selected from department of urology, Roskilde Hospital

Description

Inclusion Criteria:

  1. Patients suspecting to have renal tumors by CT/UL-scanning.
  2. Patients age between 35 and 75 years
  3. Normal renal function
  4. Can read and understand Danish
  5. Non - metastasis disease detected by scanning

Exclusion Criteria:

  1. Patients have a nephropathy (defined as e-GFR less than 50 ml/min/1.73cm³).
  2. Previous allergic reaction to intravenous contrast material.
  3. Untreated hyperthyroidism.
  4. Pregnancy.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Oben label
There is no intervention on this descriptive study

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To recognize different subtype's renal tumor by non invasive scanning.
Time Frame: one year
A perfusion scanning will be performed prior to nephrectomy and the curve of contrast perfusion to the tumor and normal kidney will be compared according to histological finding
one year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Nessn Azawi, M.D., Zealand University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 1, 2014

Primary Completion (Actual)

January 1, 2018

Study Completion (Actual)

January 1, 2018

Study Registration Dates

First Submitted

October 19, 2013

First Submitted That Met QC Criteria

October 23, 2013

First Posted (Estimate)

October 29, 2013

Study Record Updates

Last Update Posted (Actual)

January 24, 2018

Last Update Submitted That Met QC Criteria

January 22, 2018

Last Verified

January 1, 2018

More Information

Terms related to this study

Other Study ID Numbers

  • SJ-366 (Other Grant/Funding Number: Regional Ethical Committee of Region Sjaelland)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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