跳至主要内容
临床试验/NCT07187791
NCT07187791尚未招募不适用

Validation of CT KUB in Assesment of Renal Cysts

Assiut University0 个研究点目标入组 200 人开始时间: 2025年10月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
200
主要终点
Validiation of CT KUB results in assesment of Renal Cystic Lesions prospectively in comparison to Ultrasonographic as in terms of Sensitivity and Specificity regarding evalution of Cystic lesion complexity according to Bosniak Classification

研究概览

简要总结

  1. Primary (main):

1. Determine the diagnostic accuracy of CT KUB in differentiating between benign and suspicious renal cysts according to the Bosniak classification. 2. Secondary (subsidiary):

  1. Assess interobserver agreement in CT KUB interpretation among radiologists with varying levels of expertise.
  2. Identify limitations and pitfalls in the use of non-contrast CT KUB for characterizing renal cysts.

详细描述

Renal cysts are among the most frequently encountered incidental findings(1) on abdominal imaging, particularly with the increasing use of cross-sectional imaging. Most simple cysts are benign and require no further evaluation.

However, complex cystic lesions pose a diagnostic challenge, necessitating accurate characterization to distinguish benign from malignant lesions.(2).

While CT KUB is highly effective for detecting urinary tract stones, there are several limitations and pitfalls we should be aware of as Limited Soft Tissue Assessment as without contrast, masses, infections, or vascular lesions may not be clearly visible also some tumors called isodensity tumors, have similar intensity values to the surrounding normal tissues.(3).

Segmentation of kidney tumors on CT KUB images adds challenges compared to contrast-enhanced CT (CECT) images, due to low contrast and lack of multiphase images. On CECT images, the kidney tumors have different intensity values compared to the normal tissues.(4).

Validating CT KUB's accuracy in assessing renal cysts could have significant implications for clinical decision making, especially in resource-limited or urgent care settings

研究设计

研究类型
Observational
观察模型
Other
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Patients referred for CT KUB with detectable Renal cysts

排除标准

  • •1-Patients with known renal tumors.
  • •2-Inadequate imaging quality: CT KUB with severe motion/streak artifact or incomplete anatomical coverage preventing lesion assessment.

结局指标

主要结局

Validiation of CT KUB results in assesment of Renal Cystic Lesions prospectively in comparison to Ultrasonographic as in terms of Sensitivity and Specificity regarding evalution of Cystic lesion complexity according to Bosniak Classification

时间窗: From Time of CT KUB referal till accurate diagnosis of Cystic lesion up to 24 weeks

CT KUB cyst evaluation Qualitatively as Gross Picture and Quantitavely using Hausfield units then Abdomianl ultrasound , otherwise Bosniak I Renal cysts will undergo further assessment contrast-enhanced CT then Follow Up or Histopathology Data will be captured on a pre-piloted electronic case report form with de-identified study codes. Statistical analysis (sensitivity, specificity, PPV, NPV, accuracy, ROC/AUC) and inter-/intra-observer agreement (κ/ICC) will be conducted using SPSS/R/Stata. Quality assurance will follow institutional scanner QA logs, a priori reader calibration, and an audit-trailed database.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Thomas Nabeel Mikha Saied

Resident Doctor

Assiut University

相似试验