Literature DB >> 30610356

Predicting tumor responses and patient survival in chemoradiotherapy-treated patients with non-small-cell lung cancer using dynamic contrast-enhanced integrated magnetic resonance-positron-emission tomography.

Yu-Sen Huang1,2,3, Jenny Ling-Yu Chen2,4, Jo-Yu Chen1, Yee-Fan Lee1, Jei-Yie Huang5, Sung-Hsin Kuo4, Ruoh-Fang Yen5, Yeun-Chung Chang6.   

Abstract

PURPOSE: We investigated whether radiologic parameters by dynamic contrast-enhanced (DCE) integrated magnetic resonance-positron-emission tomography (MR-PET) predicts tumor response to treatment and survival in non-metastatic non-small-cell lung cancer (NSCLC) patients receiving chemoradiotherapy (CRT).
METHODS: Patients underwent DCE integrated MR-PET imaging 1 week before CRT. The following parameters were analyzed: primary tumor size, gross tumor volume, maximal standardized uptake value (SUVmax), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC), volume transfer constant (Ktrans), reverse reflux rate constant (kep), extracellular extravascular volume fraction (ve), blood plasma volume fraction (vp), and initial area under the time-concentration curve defined over the first 60 s post-enhancement (iAUC60). CRT responses were defined using the revised Response Evaluation Criteria in Solid Tumors (RECIST) guideline (version 1.1).
RESULTS: Thirty patients were included. Non-responders demonstrated higher baseline TLG (p = 0.012), and lower baseline Ktrans (p = 0.020) and iAUC60 (p = 0.016) compared to responders, indicating the usefulness of DCE integrated MR-PET to predict treatment responses. Receiver operating characteristic curve indicated that TLG has the best differentiation capability to predict responders. By setting the threshold of TLG to 277, the sensitivity, specificity, and accuracy were 66.7%, 83.3%, and 75.0%, respectively, with an area under the curve of 0.776. The median follow-up time was 19.6 (range 7.8-32.0) months. In univariate analyses, baseline TLG >277 (p = 0.005) and baseline Ktrans <254 (10-3 min-1; p = 0.015) correlated with poor survival after CRT. In multivariate analysis, baseline TLG >277 remained the significant factor in predicting progression (p = 0.012) and death (p = 0.031).
CONCLUSIONS: The radiologic parameters derived from DCE integrated MR-PET scans are useful for predicting treatment response in NSCLC patients treated with CRT; furthermore, these parameters are correlated with clinical and survival outcomes including tumor progression and death.

Entities:  

Keywords:  Glycolysis; Magnetic resonance imaging; Neoplasms; Progression-free survival; Therapeutic uses

Mesh:

Substances:

Year:  2019        PMID: 30610356     DOI: 10.1007/s00066-018-1418-8

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  4 in total

1.  Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from 68Ga-DOTATOC PET/MRI with simultaneous acquisition of apparent diffusion coefficient.

Authors:  Manuel Weber; Lukas Kessler; Benedikt Schaarschmidt; Wolfgang Peter Fendler; Harald Lahner; Gerald Antoch; Lale Umutlu; Ken Herrmann; Christoph Rischpler
Journal:  BMC Cancer       Date:  2020-04-16       Impact factor: 4.430

2.  Preclinical evaluation of PEGylated liposomal doxorubicin as an effective radiosensitizer in chemoradiotherapy for lung cancer.

Authors:  Jenny Ling-Yu Chen; Chun-Kai Pan; Yu-Li Lin; Ching-Yi Tsai; Yu-Sen Huang; Wen-Chi Yang; Feng-Ming Hsu; Sung-Hsin Kuo; Ming-Jium Shieh
Journal:  Strahlenther Onkol       Date:  2021-09-02       Impact factor: 3.621

3.  Assessing tumor angiogenesis using dynamic contrast-enhanced integrated magnetic resonance-positron emission tomography in patients with non-small-cell lung cancer.

Authors:  Yu-Sen Huang; Jenny Ling-Yu Chen; Hsin-Ming Chen; Li-Hao Yeh; Jin-Yuan Shih; Ruoh-Fang Yen; Yeun-Chung Chang
Journal:  BMC Cancer       Date:  2021-04-01       Impact factor: 4.430

4.  Combing MRI Perfusion and 18F-FDG PET/CT Metabolic Biomarkers Helps Predict Survival in Advanced Nasopharyngeal Carcinoma: A Prospective Multimodal Imaging Study.

Authors:  Sheng-Chieh Chan; Chih-Hua Yeh; Joseph Tung-Chieh Chang; Kai-Ping Chang; Jen-Hung Wang; Shu-Hang Ng
Journal:  Cancers (Basel)       Date:  2021-03-28       Impact factor: 6.639

  4 in total

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