The Role of Apparent Diffusion Coefficient Values in Glioblastoma: Differentiating Tumor Progression Versus Treatment-Related Changes

被引:7
作者
Kamali, Arash [1 ,6 ]
Gandhi, Anusha [2 ]
Nunez, Luis C. [1 ]
Lugo, Andrea E. [3 ]
Arevalo-Espejo, Octavio [4 ]
Zhu, Jay-Jiguang [5 ]
Esquenazi-Levy, Yoshua [5 ]
Zhang, Xu [1 ]
Riascos, Roy F. [1 ]
机构
[1] Univ Texas Houston, Dept Diagnost & Intervent Radiol, Neuroradiol Sect, Houston, TX USA
[2] Baylor Coll Med, Med Sch, Houston, TX USA
[3] Univ Texas Hlth Sci Ctr Houston, McGovern Med Sch, Houston, TX USA
[4] Louisiana State Univ, Dept Diagnost & Intervent Radiol, Shreveport, LA USA
[5] Univ Texas Hlth Sci Ctr Houston, Vivian L Smith Dept Neurosurg, Houston, TX USA
[6] Univ Texas Houston, Dept Diagnost & Intervent Radiol, Neuroradiol Sect, 6431 Fannin St, Houston, TX 77030 USA
关键词
glioblastoma; tumor recurrence; radiation necrosis; ischemic infarct; ADC values; RADIATION NECROSIS; SIGNAL INTENSITY; BRAIN ABSCESSES; RECURRENCE; INJURY; DISCRIMINATION; PERFUSION; ADC; MRI;
D O I
10.1097/RCT.0000000000001373
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectiveGlioblastoma represents the most common primary brain malignancy with a median survival of 15 months. Follow-up examinations are crucial to establish the presence of tumor recurrence, as well as treatment-associated changes such as ischemic infarction and radiation effects. Even though magnetic resonance imaging is a valuable tool, a histopathological diagnosis is often required because of imaging overlap between tumor recurrence and treatment associated changes. We set out to measure the apparent diffusion coefficient (ADC) values of the lesions in magnetic resonance imaging scans of treated glioblastoma patients to investigate if ADC values could accurately differentiate between tumor progression, radiation-related changes, and ischemic infarctions.MethodsWe evaluated ADC values among 3 groups, patients with tumor progression, radiation necrosis, and ischemic infarctions. The regions of interest were placed in the areas of greatest hypointensity among solid lesions using the ADC maps, excluding areas with necrotic, cystic, or hemorrhagic changes. The ADC values of the contralateral normal appearing white matter were also measured as the reference value for each patient. The relative ADC (rADC) values were measured for all 3 groups. Comparison between lesions and normal white matter was evaluated by Wilcoxon signed test.ResultsA total of 157 patients were included in the study; 49 patients classified as tumor progression, 58 patients as radiation necrosis, and 50 patients as ischemic infarctions. The mean +/- SD ADC value was 752.8 +/- 132.5 for tumor progression, 479.0 +/- 105.2 for radiation-related changes, and 250.1 +/- 57.2 for ischemic infarctions. The mean +/- SD rADC value was 1.07 +/- 0.22 for tumor progression, 0.66 +/- 0.14 for radiation necrosis, and 0.34 +/- 0.08 for ischemic infarctions. The mean rADC values were significantly higher in tumor progression, compared with both radiation necrosis and ischemic changes (P < 0.001).ConclusionsThe present study demonstrates that ADC values are a helpful tool to differentiate between tumor progression, radiation necrosis, and posttreatment ischemic changes.
引用
收藏
页码:923 / 928
页数:6
相关论文
共 46 条
[11]  
Finelli Pasquale F, 2012, Neurol Clin Pract, V2, P287, DOI 10.1212/CPJ.0b013e318278bee1
[12]  
Hein PA, 2004, AM J NEURORADIOL, V25, P201
[13]   Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists [J].
Higaki, Toru ;
Nakamura, Yuko ;
Tatsugami, Fuminari ;
Kaichi, Yoko ;
Akagi, Motonori ;
Akiyama, Yuij ;
Baba, Yasutaka ;
Iida, Makoto ;
Awai, Kazuo .
RADIOGRAPHICS, 2018, 38 (04) :1131-1144
[14]  
Horvath-Rizea Diana, 2018, Oncotarget, V9, P18148, DOI 10.18632/oncotarget.24454
[15]   Molecular pathology of tumors of the central nervous system [J].
Kristensen, B. W. ;
Priesterbach-Ackley, L. P. ;
Petersen, J. K. ;
Wesseling, P. .
ANNALS OF ONCOLOGY, 2019, 30 (08) :1265-1278
[16]   Susceptibility-weighted imaging provides complementary value to diffusion-weighted imaging in the differentiation between pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors [J].
Lai, Ping-Hong ;
Chung, Hsiao-Wen ;
Chang, Hing-Chiu ;
Fu, Jui-Hsun ;
Wang, Po-Chin ;
Hsu, Shuo-Hsiu ;
Hsu, Shu-Shong ;
Lin, Huey-Shyan ;
Chuang, Tzu-Chao .
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 117 :56-61
[17]   Molecular targeted therapy of glioblastoma [J].
Le Rhun, Emilie ;
Preusser, Matthias ;
Roth, Patrick ;
Reardon, David A. ;
van den Bent, Martin ;
Wen, Patrick ;
Reifenberger, Guido ;
Weller, Michael .
CANCER TREATMENT REVIEWS, 2019, 80
[18]   Diffusion-weighted MR Imaging for the Differentiation of True Progression from Pseudoprogression Following Concomitant Radiotherapy with Temozolomide in Patients with Newly Diagnosed High-grade Gliomas [J].
Lee, Woong Jae ;
Choi, Seung Hong ;
Park, Chu-Kee ;
Yi, Kyung Sik ;
Kim, Tae Min ;
Lee, Se-Hoon ;
Kim, Ji-Hoon ;
Sohn, Chul-Ho ;
Park, Sung-Hye ;
Kim, Il Han .
ACADEMIC RADIOLOGY, 2012, 19 (11) :1353-1361
[19]   Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis [J].
Masch, William R. ;
Wang, Page I. ;
Chenevert, Thomas L. ;
Junck, Larry ;
Tsien, Christina ;
Heth, Jason A. ;
Sundgren, Pia C. .
ACADEMIC RADIOLOGY, 2016, 23 (05) :569-576
[20]   Differentiating parotid tumors by quantitative signal intensity evaluation on MR imaging [J].
Matsusue, Eiji ;
Fujihara, Yoshio ;
Matsuda, Eiken ;
Tokuyasu, Yusuke ;
Nakamoto, Shu ;
Nakamura, Kazuhiko ;
Ogawa, Toshihide .
CLINICAL IMAGING, 2017, 46 :37-43