Application of Radiomics in the Diagnosis and Treatment Prediction of Pituitary Adenoma (RIPA)

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Capital Medical University

Status

Active, not recruiting

Conditions

Pituitary Adenoma

Treatments

Procedure: surgery of pituitary adenomas

Study type

Observational

Funder types

Other

Identifiers

NCT06234553
RIPA-001 (Other Identifier)
SK-748

Details and patient eligibility

About

The images of patients with Pituitary adenoma were collected and analyzed based on the methods of radiomics.

Full description

Inclusion of pituitary adenoma patients diagnosed clinically or pathologically Clinical data and pre-treatment imaging data of included patients (DICOM format) Determine the subtype diagnosis of pituitary adenoma based on the patient's clinical and pathological data Collect relevant data of patients before and after treatment Using radiomics methods, extract radiomic features of patients and construct a radiomic model for predicting the diagnosis and treatment response of pituitary adenomas

Enrollment

200 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Gender unlimited, 18-80 years old;
  2. Clinical diagnosis of Pituitary Adenoma and receive surgical treatment;
  3. Received brain imaging;
  4. informed consent signed

Exclusion criteria

  1. Pregnant / lactating women
  2. Contraindications of imaging examination
  3. Lack of effective clinical data
  4. MRI data before treatment cannot be obtained
  5. Postoperative pathology not revealed pituitary adenoma

Trial design

200 participants in 1 patient group

training set and validation set
Description:
Retrospective study focusing on the diagnosis and treatment outcomes of pituitary adenomas
Treatment:
Procedure: surgery of pituitary adenomas

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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