The Potential of Radiomics to Differentiate Between Malignant and Benign Bosniak 3 Renal Cysts.

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-08-07

Study Completion Date

2021-01-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

More than 200,000 new cases of renal cancer are diagnosed in the world each year, with more than 63,000 new cases in Europe alone. Of those, renal cell carcinoma (RCC) is the most common type in adults, making up more than 90% of the cases. Deciding on the benign or malignant nature of some RCC on the basis of medical images (CT, MRI, US) is an issue, which often leads to unnecessary surgery, morbidity and costs.

A categorization for renal cysts was introduced in the late 1980s known as the Bosniak classification. The Bosniak classification system classifies them into groups that are benign (I and II) and those that need surgical resection (III and IV), based on specific imaging features. However, defining the malignancy of category III lesions still remains a challenge. Though Bosniak classification for renal cysts is used worldwide and underwent a number of modifications, Bosniak III cysts still have almost a 1:1 chance of being malignant. So the problem is that approximately half of the Bosniak category III cystic lesions prove to be benign after surgery.

The proposed project aims to develop a quantitative image analysis (QIA) based multifactorial decision support system (mDSS) capable of classifying renal cysts with high accuracy into benign or malignant status, thus reducing the amount of unnecessary surgeries performed. Using standard-of-care CT images and clinical parameters, the customized DSS will then guide experts in planning a safe and effective diagnostic and treatment strategy for all RCC patients.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Study of 99mTc-Sestamibi SPECT/CT Imaging for the Preoperative Diagnosis of Renal Oncocytoma

NCT02160925

Clinical T1 Renal Mass

COMPLETED NA

Multiparametric MRI for Diagnosing Small Renal Tumors

NCT03470285

Renal Cancer

COMPLETED NA

Distinguishing Retroperitoneal Fibrosis and Sarcoma from Other Retroperitoneal Diseases Via Radiomics

NCT06741423

Retroperitoneal Sarcoma Retroperitoneal Fibrosis

ACTIVE_NOT_RECRUITING

Computer Aided Diagnostic Tool on Computed Tomography Images for Diagnosis of Retroperitoneal Tumor in Children

NCT05179850

Wilms' Tumor Neuroblastoma Teratoma +3 more

UNKNOWN

Radiomics for Prediction of Long Term Survival and Local Failure After Stereotactic Radiotherapy for Brain Metastases

NCT02265549

Metastases, Neoplasm

COMPLETED

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Renal Cyst Complex

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Radiomics

The high-throughput extraction of large amounts of quantitative image features from radiographic medical images

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients who underwent contrast-enhanced CT-Scan, with radiological findings suggestive of Bosniak 3 renal cyst and have available results for pathology analysis of the cyst.