Radiomics of Immunotherapeutics Response Evaluation and Prediction

NCT ID: NCT04079283

Last Updated: 2020-04-02

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

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Recruitment Status

COMPLETED

Total Enrollment

285 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-01-01

Study Completion Date

2020-02-25

Brief Summary

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This study aims to investigate the feasibility and efficiency of CT radiomic analysis which serves as a high through-put analytical strategy applied to image big-data resource in evaluating and predicting the response of immunotherapeutics. A multi-center retrospective diagnostic test has been designed for this aim to compare the predictive performance of clinical model, qualitative model incorporating semantic CT features and image-based quantitative radiomic model. The reference standard of therapeutic effect is determined by the latest evaluation result utilizing iRECIST within 365 days after recruited. This study intends to enroll 400 participates who had been diagnosed with advanced somatic solid tumor confirmed by histo- or cyto-pathological examination and were planning to receive immunotherapy.

Detailed Description

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Conditions

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Solid Tumor Predictive Cancer Model

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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Monotherapy

Patients who has received mono-therapy of immune checkpoint inhibitor.

Clinical

Intervention Type DIAGNOSTIC_TEST

Clinical: A diagnostic model incorporating clinical variables (Age, Pathological diagnosis, level of serum tumor biomarkers etc.)

Semantic

Intervention Type DIAGNOSTIC_TEST

Semantic: A diagnostic model incorporating semantic radiological features (shape, location, border, density etc.)

Radiomic

Intervention Type DIAGNOSTIC_TEST

Radiomic: A diagnostic model incorporating quantitative radiomic features (histogram, texture, morphology etc.)

Combined therapy

Patients who has received immune checkpoint inhibitor combining chemotherapy.

Clinical

Intervention Type DIAGNOSTIC_TEST

Clinical: A diagnostic model incorporating clinical variables (Age, Pathological diagnosis, level of serum tumor biomarkers etc.)

Semantic

Intervention Type DIAGNOSTIC_TEST

Semantic: A diagnostic model incorporating semantic radiological features (shape, location, border, density etc.)

Radiomic

Intervention Type DIAGNOSTIC_TEST

Radiomic: A diagnostic model incorporating quantitative radiomic features (histogram, texture, morphology etc.)

Interventions

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Clinical

Clinical: A diagnostic model incorporating clinical variables (Age, Pathological diagnosis, level of serum tumor biomarkers etc.)

Intervention Type DIAGNOSTIC_TEST

Semantic

Semantic: A diagnostic model incorporating semantic radiological features (shape, location, border, density etc.)

Intervention Type DIAGNOSTIC_TEST

Radiomic

Radiomic: A diagnostic model incorporating quantitative radiomic features (histogram, texture, morphology etc.)

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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Radiological

Eligibility Criteria

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Inclusion Criteria

1. Patients with histopathological or cytopathological confirmed solid tumor (including metastatic solid tumor).
2. Patients ≥ 18 years of age on the day of baseline CT scan.
3. Patients received immune checkpoint inhibitors (ICI) monotherapy or combined with chemotherapy in any line of treatment.
4. Patients with at least one measurable target lesion of which minor axis was greater than 15mm and without any local treatment.
5. Female with a negative pregnancy test, or male who agree to use barrier methods of contraception through the therapy period.
6. Patients with a Eastern Cooperative Oncology Group(ECOG) performance status score of 0 or 1.
7. Patients underwent follow-up CT scans with an 6-9-week interval until 365 days after baseline CT scan.
8. Patients with baseline and follow-up CT scans which meet the following conditions: a) Spiral computed tomography device of General Electric Healthcare or Siemens with greater than 16 rows of detectors ; b) Peak kilovoltage: 120kV; c) Dose: auto or fixed; d) Slice resolution: not less than 512 pixels multiply 512 pixels; e) Scanning range: from supraclavicular region to 2cm below the costophrenic angle for thorax, and from diaphragm to pubic symphysis for abdomen; f) contrast-enhanced scan utilizing nonionic low- or iso-osmolar contrast agent and including arterial phase, venous phase and delayed phase at least.

Exclusion Criteria

1. Patients received any kinds of cytotoxic drugs or experimental drugs 2 weeks before enrollment.
2. Patients meet the contraindications of contrast-enhanced CT scan.
3. Patients who were not suitable for continuous follow-up CT scans.
4. Patients with severe myocardial infarction confirmed by ECG or left ventricular ejection fraction(LVEF) less than 40% or glomerular filtration rate(GFR) less than 45ml/min.
5. Patients who cannot tolerate immunotherapy or with serious immune-related adverse response.
6. Patients with severe interstitial pneumonia confirmed by baseline CT scan.
7. Patients who cannot complete follow-up examinations scheduled by study design.
8. Patients with AIDS or positive serum HIV antibodies.
9. Patients with a CT scan presenting extremely low signal noise ratio or too much artifacts at any timepoint.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tianjin Chest Hospital

OTHER

Sponsor Role collaborator

Shandong Tumor Hospital

OTHER

Sponsor Role collaborator

West China Hospital

OTHER

Sponsor Role collaborator

First Affiliated Hospital of Zhejiang University

OTHER

Sponsor Role collaborator

Sun Yat-sen University

OTHER

Sponsor Role collaborator

Cancer Institute and Hospital, Chinese Academy of Medical Sciences

OTHER

Sponsor Role collaborator

Liaoning Cancer Hospital & Institute

OTHER

Sponsor Role collaborator

Hubei Cancer Hospital

OTHER

Sponsor Role collaborator

First Affiliated Hospital Xi'an Jiaotong University

OTHER

Sponsor Role collaborator

Tianjin Medical University Cancer Institute and Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Zhaoxiang Ye, M.D, Ph.D

Role: STUDY_CHAIR

Tianjin Medical University Cancer Institute and Hospital

Locations

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Tianjin Medical University Cancer Institute And Hospital

Tianjin, Tianjin Municipality, China

Site Status

Countries

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China

Other Identifiers

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IIT0100

Identifier Type: -

Identifier Source: org_study_id

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