Application of Diffusion Weighted MRI Versus CT in Evaluation of the Effect of Treating Lung Cancer

N/AUnknownNCT02320617

Air Force Military Medical University, China80 enrolled

Overview

The purpose of this study is to investigate the diagnostic accuracy of ADC value of diffusion weighted MRI in comparison of conventional treatment assessment criteria in evaluation of chemotherapy. Moreover, the investigators aim to clarify the correlation of ADC value with histologic type and grade of lung cancer and survival of patients.

In recent years, lung cancer is an aggressive and heterogeneous disease, Advances in surgical and chemotherapeutic approaches have been made, but the long-term survival rate remains low. Although effective mass screening of high-risk groups could potentially be of benefit, randomized trials of screening with the use of chest radiography with or without cytological analysis of sputum specimens have shown no reduction in lung-cancer mortality. Currently, Response Evaluation Criteria in Solid Tumors (RECIST) by CT is the most commonly used to evaluate chemotherapy of lung cancer patient, but patients have to be exposed to radiation. For this reason, the investigators aim to assess the diagnostic accuracy of apparent diffusion coefficient (ADC) value, a specific parameter of radiation-free diffusion weighted MRI, in comparison of RECIST, and its correlation with histologic type and grade of lung cancer as well. Furthermore, the investigators investigate its correlation with Progression Free Survival (PFS) and Overall Survival (OS) in patients.

Study Type

INTERVENTIONAL

Allocation

Purpose

DIAGNOSTIC

Masking

NONE

Enrollment

Conditions

Lung Neoplasms

Interventions

Diffusion Magnetic Resonance ImagingPROCEDURE

Diffusion weighted imaging (DWI) is a form of magnetic resonance imaging based upon measuring the random Brownian motion of water molecules within a voxel of tissue. The relationship between histology and diffusion is complex, however generally densely cellular tissues or those with cellular swelling exhibit lower diffusion coefficients, and thus diffusion is particularly useful in tumour characterisation

Eligibility

Sex: ALLMin age: 18 YearsMax age: 75 Years

Medical Language ↔ Plain English

Inclusion Criteria: 1. Age: 18-75 2. Patients have confirmed lung cancer by histopathological methods (fiber, bronchoscopy, lung biopsy, open chest biopsy, pleural effusion exfoliated cells, sputum exfoliated cells) 3. After clinical assessment, patients who need chemotherapy (tumor stage III or IV of lung cancer or others who are reluctant to receive pneumonectomy); 4. Patients have no previous history of chemotherapy 5. Patients with at least one clearly measurable lung lesion (lesion size larger than 10mm, by spiral CT, according to RECIST) 6. Health status scoring between 0-2 by Eastern Cooperative Oncology Group(ECOG) method 7. Patients voluntarily to join this study and signed informed consents. Exclusion Criteria: 1. Any body metal implants (pacemaker implantation, nerve stimulator, vascular stent, aneurysm clip, eye foreign body, the inner metal prosthesis) or artificial heart valves 2. Patients with claustrophobia to MRI or CT examination 3. Patients who are reluctant to comply with follow-up and subsequent examination 4. The other condition that do not meet the inclusion criteria.

Locations (1)

Xijing Hospital

Xi'an, Shaanxi, China

RECRUITING

Outcomes

Primary Outcomes

Change from baseline in ADC value

Change from baseline in ADC value in 4,8,12 weeks(every two cycles of chemotherapy) post initial treatment when compared with RECIST (based on the CT examination), thus it can be estimated that the accuracy of ADC value in evaluating chemotherapy.

Time frame: 4,8,12 weeks post initial chemotherapy

Secondary Outcomes

ADC value

The correlation of ADC value in 1 day before initial chemotherapy with histologic type and grade of lung cancer

Time frame: 1 day before initial chemotherapy

Central Contacts

Li Jie, master

CONTACT

+8629-84771132 935895498@qq.com

Data from ClinicalTrials.gov

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