PURPOSE: We investigated the correlation relationship between ADCs measured by MRI and SUVs measured by PET/CT of lesions on GIST (gastrointestinal stromal tumor) patients to verify if MR is able to replace or serve as an alternative to PET/CT in GIST staging and treatment monitoring. MATERIALS AND METHODS: Between September 2010 and January 2011, five patients with histologically proven metastatic GIST in Queen Mary Hospital, Hong Kong were enrolled into our study. All patients underwent both MRI and PET/CT scans at prognosis. Pearson's correlations of twenty-nine lesions were conducted between 5 pairs of ADCs and SUVs values. RESULTS: Lesions in the liver, peritoneum or bowel loops were found by PET/CT and no extra-abdominal lesion was identified. All twenty-nine lesions are identifiable by MRI with sensitivity of 100%. Significant inverse correlation were found between ADC(mean) and SUV(mean) (P=0.006), ADC(mean) and SUV(max) (P=0.010), ADC(min) and SUV(max) (P=0.014), ADC(min) and SUV(mean) (P=0.026), rADC(min) and rSUV(max) (P=0.047). CONCLUSION: DWI is comparable to PET/CT in visually detecting the GIST lesions' location. Significant inverse correlations were found between ADCs from DWIBS and SUVs from PET/CT on data of GIST patients. This finding demonstrates that DWI is potentially capable of offering similar information for diagnosis and treatment response evaluating in GIST's patients as PET/CT does. Furthermore, ADC(min), which is determined by single pixel, is not as reliable as ADC(mean), which is weighted average value of the whole lesion volume.
PURPOSE: We investigated the correlation relationship between ADCs measured by MRI and SUVs measured by PET/CT of lesions on GIST (gastrointestinal stromal tumor) patients to verify if MR is able to replace or serve as an alternative to PET/CT in GIST staging and treatment monitoring. MATERIALS AND METHODS: Between September 2010 and January 2011, five patients with histologically proven metastatic GIST in Queen Mary Hospital, Hong Kong were enrolled into our study. All patients underwent both MRI and PET/CT scans at prognosis. Pearson's correlations of twenty-nine lesions were conducted between 5 pairs of ADCs and SUVs values. RESULTS: Lesions in the liver, peritoneum or bowel loops were found by PET/CT and no extra-abdominal lesion was identified. All twenty-nine lesions are identifiable by MRI with sensitivity of 100%. Significant inverse correlation were found between ADC(mean) and SUV(mean) (P=0.006), ADC(mean) and SUV(max) (P=0.010), ADC(min) and SUV(max) (P=0.014), ADC(min) and SUV(mean) (P=0.026), rADC(min) and rSUV(max) (P=0.047). CONCLUSION: DWI is comparable to PET/CT in visually detecting the GIST lesions' location. Significant inverse correlations were found between ADCs from DWIBS and SUVs from PET/CT on data of GIST patients. This finding demonstrates that DWI is potentially capable of offering similar information for diagnosis and treatment response evaluating in GIST's patients as PET/CT does. Furthermore, ADC(min), which is determined by single pixel, is not as reliable as ADC(mean), which is weighted average value of the whole lesion volume.
Authors: Bruno Hochhegger; Matheus Zanon; Stephan Altmayer; Gabriel S Pacini; Fernanda Balbinot; Martina Z Francisco; Ruhana Dalla Costa; Guilherme Watte; Marcel Koenigkam Santos; Marcelo C Barros; Diana Penha; Klaus Irion; Edson Marchiori Journal: Lung Date: 2018-10-09 Impact factor: 2.584
Authors: Lei Tang; Yi Sui; Zheng Zhong; Frederick C Damen; Jian Li; Lin Shen; Yingshi Sun; Xiaohong Joe Zhou Journal: Magn Reson Med Date: 2017-06-22 Impact factor: 4.668
Authors: K M Kang; C-H Sohn; B S Kim; Y I Kim; S H Choi; T J Yun; J-h Kim; S-W Park; G J Cheon; M H Han Journal: AJNR Am J Neuroradiol Date: 2015-07-30 Impact factor: 3.825
Authors: Arthur Varoquaux; Olivier Rager; Karl-Olof Lovblad; Karen Masterson; Pavel Dulguerov; Osman Ratib; Christoph D Becker; Minerva Becker Journal: Eur J Nucl Med Mol Imaging Date: 2013-02-22 Impact factor: 9.236
Authors: Johannes Grueneisen; Karsten Beiderwellen; Philipp Heusch; Paul Buderath; Bahriye Aktas; Marcel Gratz; Michael Forsting; Thomas Lauenstein; Verena Ruhlmann; Lale Umutlu Journal: PLoS One Date: 2014-05-07 Impact factor: 3.240