Application of Diffusion Weighted MRI Versus CT in Evaluation of the Effect of Treating Lung Cancer
19. december 2014 opdateret af: Jian Zhang, Air Force Military Medical University, China
Application of Diffusion Weighted Magnetic Resonance Imaging Versus CT in Evaluation of the Effect of Treating Lung Cancer
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.
Studieoversigt
Status
Ukendt
Betingelser
Intervention / Behandling
Detaljeret beskrivelse
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.
Undersøgelsestype
Interventionel
Tilmelding (Forventet)
80
Fase
- Ikke anvendelig
Kontakter og lokationer
Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.
Studiesteder
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Shaanxi
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Xi'an, Shaanxi, Kina, 710032
- Rekruttering
- Xijing Hospital
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Kontakt:
- Zhang Jian, professor
- Telefonnummer: +8629-84771132
- E-mail: zhangjian19701@163.com
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Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
18 år til 75 år (Voksen, Ældre voksen)
Tager imod sunde frivillige
Ingen
Køn, der er berettiget til at studere
Alle
Beskrivelse
Inclusion Criteria:
- Age: 18-75
- Patients have confirmed lung cancer by histopathological methods (fiber, bronchoscopy, lung biopsy, open chest biopsy, pleural effusion exfoliated cells, sputum exfoliated cells)
- After clinical assessment, patients who need chemotherapy (tumor stage III or IV of lung cancer or others who are reluctant to receive pneumonectomy);
- Patients have no previous history of chemotherapy
- Patients with at least one clearly measurable lung lesion (lesion size larger than 10mm, by spiral CT, according to RECIST)
- Health status scoring between 0-2 by Eastern Cooperative Oncology Group(ECOG) method
- Patients voluntarily to join this study and signed informed consents.
Exclusion Criteria:
- Any body metal implants (pacemaker implantation, nerve stimulator, vascular stent, aneurysm clip, eye foreign body, the inner metal prosthesis) or artificial heart valves
- Patients with claustrophobia to MRI or CT examination
- Patients who are reluctant to comply with follow-up and subsequent examination
- The other condition that do not meet the inclusion criteria.
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
|---|---|
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Eksperimentel: DW-MRI group
To evaluate the efficacy of chemoradiotherapy in lung cancer patients by DW-MRI when compared with conventional imaging modalities(CT, ultrasound et al.)
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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
Andre navne:
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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Change from baseline in ADC value
Tidsramme: 4,8,12 weeks post initial chemotherapy
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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.
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4,8,12 weeks post initial chemotherapy
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Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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ADC value
Tidsramme: 1 day before initial chemotherapy
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The correlation of ADC value in 1 day before initial chemotherapy with histologic type and grade of lung cancer
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1 day before initial chemotherapy
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Andre resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Change from baseline in ADC value
Tidsramme: At the date of first documented progression, assessed up to 12 months
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Change from baseline in ADC value will be documented at date of first documented progression, assessed up to 12 months post initial chemotherapy.
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At the date of first documented progression, assessed up to 12 months
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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Efterforskere
- Ledende efterforsker: Zhang Jian, professor, Air Force Military Medical University, China
Publikationer og nyttige links
Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.
Generelle publikationer
- Honda O, Tsubamoto M, Inoue A, Johkoh T, Tomiyama N, Hamada S, Mihara N, Sumikawa H, Natsag J, Nakamura H. Pulmonary cavitary nodules on computed tomography: differentiation of malignancy and benignancy. J Comput Assist Tomogr. 2007 Nov-Dec;31(6):943-9. doi: 10.1097/RCT.0b013e3180415e20.
- Zhang J, Cui LB, Tang X, Ren XL, Shi JR, Yang HN, Zhang Y, Li ZK, Wu CG, Jian W, Zhao F, Ti XY, Yin H. DW MRI at 3.0 T versus FDG PET/CT for detection of malignant pulmonary tumors. Int J Cancer. 2014 Feb 1;134(3):606-11. doi: 10.1002/ijc.28394. Epub 2013 Sep 16.
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart
1. december 2014
Primær færdiggørelse (Forventet)
1. november 2015
Studieafslutning (Forventet)
1. februar 2016
Datoer for studieregistrering
Først indsendt
9. december 2014
Først indsendt, der opfyldte QC-kriterier
16. december 2014
Først opslået (Skøn)
19. december 2014
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Skøn)
23. december 2014
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
19. december 2014
Sidst verificeret
1. december 2014
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- 2013C2014
Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .