Lung Cancer Clinical Trial
Official title:
Influence of PET/CT Radiomic Features on the Outcome of Lung Cancer Patients
NCT number | NCT03648151 |
Other study ID # | 20170501 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | January 1, 2010 |
Est. completion date | December 31, 2019 |
Verified date | July 2020 |
Source | The First Affiliated Hospital of Shanxi Medical University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Radiomics is an attractive field in objectively quantifying image features, and may overcome the subjectivity of visually interpreting computed tomography (CT), or positron emission tomography (PET). It is reported that the features related to treatment response, outcomes, tumor staging, tissue identification, and cancer genetics. Therefore, the investigators try to explore the key features for the outcome of lung cancer patients.
Status | Completed |
Enrollment | 1000 |
Est. completion date | December 31, 2019 |
Est. primary completion date | December 31, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility |
Inclusion Criteria: 1. Pathologically diagnosed as lung caner. 2. Accepted PET/CT scans at the hospitals either affiliated to Shanxi Medical University or Anhui Medical University 3. Both PET and CT serials can be obtained 4. Can be followed for treatment modalities (including chemotherapy regimens, radiotherapy dose, and et al), survival time and status, and other related information. Exclusion Criteria: 1. Simultaneously suffering from the cancers from other tissues and organs 2. Have a history of diabetes, chronic heart diseases, or chronic renal failure |
Country | Name | City | State |
---|---|---|---|
China | First Affiliated Hospital of Anhui Medical University | Hefei | Anhui |
China | First Affiliated Hospital of Shanxi Medical University | Taiyuan | Shanxi |
Lead Sponsor | Collaborator |
---|---|
The First Affiliated Hospital of Shanxi Medical University | The First Affiliated Hospital of Anhui Medical University |
China,
Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014 Jun 3;5:4006. doi: 10.1038/ncomms5006. Erratum in: Nat Commun. 2014;5:4644. Cavalho, Sara [corrected to Carvalho, Sara]. — View Citation
Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K. Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol. 2012 Feb;67(2):157-64. doi: 10.1016/j.crad.2011.08.012. Epub 2011 Sep 23. — View Citation
Giesel FL, Schneider F, Kratochwil C, Rath D, Moltz J, Holland-Letz T, Kauczor HU, Schwartz LH, Haberkorn U, Flechsig P. Correlation Between SUVmax and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging. J Nucl Med. 2017 Feb;58(2):282-287. doi: 10.2967/jnumed.116.179648. Epub 2016 Sep 22. — View Citation
Sollini M, Cozzi L, Antunovic L, Chiti A, Kirienko M. PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology. Sci Rep. 2017 Mar 23;7(1):358. doi: 10.1038/s41598-017-00426-y. Review. — View Citation
Yip SS, Aerts HJ. Applications and limitations of radiomics. Phys Med Biol. 2016 Jul 7;61(13):R150-66. doi: 10.1088/0031-9155/61/13/R150. Epub 2016 Jun 8. Review. — View Citation
Yip SS, Kim J, Coroller TP, Parmar C, Velazquez ER, Huynh E, Mak RH, Aerts HJ. Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer. J Nucl Med. 2017 Apr;58(4):569-576. doi: 10.2967/jnumed.116.181826. Epub 2016 Sep 29. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Overall survival (OS) of lung cancer patients | The time from the scan date to death for any reason | The patients were followed to December 31, 2019 |
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