Literature DB >> 22194481

Diffusion-weighted MRI versus 18F-FDG PET/CT: performance as predictors of tumor treatment response and patient survival in patients with non-small cell lung cancer receiving chemoradiotherapy.

Yoshiharu Ohno1, Hisanobu Koyama, Takeshi Yoshikawa, Keiko Matsumoto, Nobukazu Aoyama, Yumiko Onishi, Kazuro Sugimura.   

Abstract

OBJECTIVE: The purpose of this study was to compare the predictive capabilities of diffusion-weighted MRI (DWI) and 18F-FDG PET/CT for tumor response to therapy and survival in patients with non-small cell lung cancer (NSCLC) receiving chemoradiotherapy. SUBJECTS AND METHODS: The study included 64 patients with NSCLC diagnosed as stage III who underwent pretherapeutic DWI and FDG PET/CT and were treated with chemoradiotherapy. For quantitative prediction, apparent diffusion coefficient (ADC) for DWI and maximum standardized uptake value (SUVmax) for PET/CT were measured at all targeted lesions and averaged to obtain final values for each patient. To evaluate the predictive capability of either index for distinguishing partial response and nonresponse (stable or progressive disease) groups, receiver operating characteristic analysis was performed, and sensitivity, specificity, and accuracy of the two modalities were compared using the McNemar test. Finally, overall and progression-free survival curves divided by the corresponding threshold value were compared by means of the log-rank test.
RESULTS: The area under the curve (Az) for ADC (Az=0.84) was significantly larger than that for SUVmax (Az=0.64, p<0.05). The application of feasible threshold values resulted in specificity (44.4%) and accuracy (76.6%) of DWI becoming significantly higher than those of PET/CT (specificity, 11.1%; p<0.05 and accuracy, 67.2%, p<0.05). In addition, only overall survival and progression-free survival of the two groups divided by ADC at 2.1×10(-3) mm2/s and SUVmax at 10 showed a significant difference (p<0.05).
CONCLUSION: DWI may have better potential than FDG PET/CT for prediction of tumor response to therapy in NSCLC patients before chemoradiotherapy.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22194481     DOI: 10.2214/AJR.11.6525

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  38 in total

Review 1.  Magnetic resonance imaging in lung: a review of its potential for radiotherapy.

Authors:  Shivani Kumar; Gary Liney; Robba Rai; Lois Holloway; Daniel Moses; Shalini K Vinod
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

2.  Thoracic staging of non-small-cell lung cancer using integrated (18)F-FDG PET/MR imaging: diagnostic value of different MR sequences.

Authors:  Benedikt Schaarschmidt; Christian Buchbender; Benedikt Gomez; Christian Rubbert; Florian Hild; Jens Köhler; Johannes Grueneisen; Henning Reis; Verena Ruhlmann; Axel Wetter; Harald H Quick; Gerald Antoch; Philipp Heusch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-04-08       Impact factor: 9.236

3.  Comparison of FDG PET metabolic tumour volume versus ADC histogram: prognostic value of tumour treatment response and survival in patients with locally advanced uterine cervical cancer.

Authors:  Yoshiko Ueno; Robert Lisbona; Tsutomu Tamada; Amer Alaref; Kazuro Sugimura; Caroline Reinhold
Journal:  Br J Radiol       Date:  2017-06-16       Impact factor: 3.039

Review 4.  Improving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologies.

Authors:  Carri K Glide-Hurst; Indrin J Chetty
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

Review 5.  From diagnosis to therapy in lung cancer: management of CT detected pulmonary nodules, a summary of the 2015 Chinese-German Lung Cancer Expert Panel.

Authors:  Chunxia Su; Mathias Meyer; Robert Pirker; Wieland Voigt; Jingyun Shi; Lothar Pilz; Rudolf M Huber; Yilong Wu; Jinghong Wang; Yonglan He; Xuan Wang; Jian Zhang; Xiuyi Zhi; Meiqi Shi; Bo Zhu; Stefan S Schoenberg; Thomas Henzler; Christian Manegold; Caicun Zhou; Eric Dominic Roessner
Journal:  Transl Lung Cancer Res       Date:  2016-08

Review 6.  Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.

Authors:  Muhammad Kashif Rahim; Sung Eun Kim; Hyeongryul So; Hyung Jun Kim; Gi Jeong Cheon; Eun Seong Lee; Keon Wook Kang; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2014-01-22

Review 7.  Magnetic resonance imaging in precision radiation therapy for lung cancer.

Authors:  Hannah Bainbridge; Ahmed Salem; Rob H N Tijssen; Michael Dubec; Andreas Wetscherek; Corinne Van Es; Jose Belderbos; Corinne Faivre-Finn; Fiona McDonald
Journal:  Transl Lung Cancer Res       Date:  2017-12

8.  Apparent diffusion coefficient as a prognostic biomarker of upper urinary tract cancer: a preliminary report.

Authors:  Soichiro Yoshida; Shuichiro Kobayashi; Fumitaka Koga; Junichiro Ishioka; Chikako Ishii; Hiroshi Tanaka; Yasukazu Nakanishi; Yoh Matsuoka; Noboru Numao; Kazutaka Saito; Hitoshi Masuda; Yasuhisa Fujii; Kazunori Kihara
Journal:  Eur Radiol       Date:  2013-03-15       Impact factor: 5.315

Review 9.  Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis.

Authors:  Sugama Chicklore; Vicky Goh; Musib Siddique; Arunabha Roy; Paul K Marsden; Gary J R Cook
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-13       Impact factor: 9.236

Review 10.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.