Cited 13 times in
Dynamic contrast-enhanced CT to assess metabolic response in patients with advanced non-small cell lung cancer and stable disease after chemotherapy or chemoradiotherapy
DC Field | Value | Language |
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dc.contributor.author | 김상진 | - |
dc.contributor.author | 김태훈 | - |
dc.contributor.author | 박철환 | - |
dc.contributor.author | 전태주 | - |
dc.contributor.author | 황성호 | - |
dc.date.accessioned | 2014-12-18T08:57:53Z | - |
dc.date.available | 2014-12-18T08:57:53Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/87280 | - |
dc.description.abstract | OBJECTIVES: To compare tumour enhancement patterns measured using dynamic contrast-enhanced (DCE)-CT with tumour metabolism measured using positron emission tomography (PET)-CT in patients with non-small cell lung cancer (NSCLC) and stable disease after chemotherapy or chemoradiotherapy. METHODS: After treatment, 75 NSCLC tumours in 65 patients who had stable disease on DCE-CT according to Response Evaluation Criteria in Solid Tumour (RECIST) were evaluated using PET-CT. On DCE-CT, relative enhancement ratios (RER) of tumour at 30, 60, 90, 120 s and 5 min after injection of contrast material were measured. Metabolic responses of tumours were classified into two groups according to the maximum standardized uptake value (SUVmax) by PET-CT: complete metabolic response (CR) with an SUVmax of less than 2.5, and noncomplete metabolic response (NR) with an SUVmax of at least 2.5. RESULTS: Using the optimal RER₆₀ cutoff value of 43.7 % to predict NR of tumour gave 95.7 % sensitivity, 64.2 % specificity, and 82.1 % positive and 95.0 % negative predictive values. After adjusting for tumour size, the odds ratio for NR in tumour with an RER60 of at least 43.7 % was 70.85 (95 % CI = 7.95-630.91; P < 0.05). CONCLUSIONS: Even when disease was stable according to RECIST, DCE-CT predicted hypermetabolic status of residual tumour in patients with NSCLC after treatment. KEY POINTS : • Dynamic contrast-enhanced CT (DCE-CT) can provide useful metabolic information about non-small cell lung cancer. • NSCLC lesions, even grossly stable after treatment, show various metabolic states. • DCE-CT enhancement patterns correlate with tumour metabolic status as shown by PET. • DCE-CT helps to assess hypermetabolic NSCLC as stable disease after treatment. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Area Under Curve | - |
dc.subject.MESH | Carcinoma, Non-Small-Cell Lung/diagnosis* | - |
dc.subject.MESH | Carcinoma, Non-Small-Cell Lung/diagnostic imaging* | - |
dc.subject.MESH | Carcinoma, Non-Small-Cell Lung/therapy | - |
dc.subject.MESH | Chemoradiotherapy/methods | - |
dc.subject.MESH | Contrast Media/pharmacology* | - |
dc.subject.MESH | Drug Therapy/methods | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Fluorodeoxyglucose F18/pharmacology | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Image Processing, Computer-Assisted | - |
dc.subject.MESH | Lung Neoplasms/diagnosis* | - |
dc.subject.MESH | Lung Neoplasms/diagnostic imaging* | - |
dc.subject.MESH | Lung Neoplasms/therapy | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Odds Ratio | - |
dc.subject.MESH | Positron-Emission Tomography/methods | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.subject.MESH | Time Factors | - |
dc.subject.MESH | Tomography, X-Ray Computed/methods* | - |
dc.subject.MESH | Treatment Outcome | - |
dc.title | Dynamic contrast-enhanced CT to assess metabolic response in patients with advanced non-small cell lung cancer and stable disease after chemotherapy or chemoradiotherapy | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학) | - |
dc.contributor.googleauthor | Sung Ho Hwang | - |
dc.contributor.googleauthor | Mi Ri Yoo | - |
dc.contributor.googleauthor | Chul Hwan Park | - |
dc.contributor.googleauthor | Tae Joo Jeon | - |
dc.contributor.googleauthor | Sang Jin Kim | - |
dc.contributor.googleauthor | Tae Hoon Kim | - |
dc.identifier.doi | 10.1007/s00330-012-2755-0 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A03557 | - |
dc.contributor.localId | A01086 | - |
dc.contributor.localId | A00528 | - |
dc.contributor.localId | A01722 | - |
dc.contributor.localId | A04467 | - |
dc.relation.journalcode | J00851 | - |
dc.identifier.eissn | 1432-1084 | - |
dc.identifier.pmid | 23300040 | - |
dc.identifier.url | http://link.springer.com/article/10.1007/s00330-012-2755-0 | - |
dc.subject.keyword | Non-small cell lung cancer | - |
dc.subject.keyword | Computed tomography | - |
dc.subject.keyword | 18F-fluoro-deoxyglucose positron emission tomography | - |
dc.subject.keyword | Enhancement pattern | - |
dc.subject.keyword | Standardized uptake value | - |
dc.contributor.alternativeName | Kim, Sang Jin | - |
dc.contributor.alternativeName | Kim, Tae Hoon | - |
dc.contributor.alternativeName | Park, Chul Hwan | - |
dc.contributor.alternativeName | Jeon, Tae Joo | - |
dc.contributor.alternativeName | Hwang, Sung Ho | - |
dc.contributor.affiliatedAuthor | Jeon, Tae Joo | - |
dc.contributor.affiliatedAuthor | Kim, Tae Hoon | - |
dc.contributor.affiliatedAuthor | Kim, Sang Jin | - |
dc.contributor.affiliatedAuthor | Park, Chul Hwan | - |
dc.contributor.affiliatedAuthor | Hwang, Sung Ho | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 23 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1573 | - |
dc.citation.endPage | 1581 | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, Vol.23(6) : 1573-1581, 2013 | - |
dc.identifier.rimsid | 32946 | - |
dc.type.rims | ART | - |
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