Literature DB >> 32163295

The value of diffusion-weighted imaging based on monoexponential and biexponential models for the diagnosis of benign and malignant lung nodules and masses.

Jianqin Jiang1, Yigang Fu1, Xiaoyun Hu2, Lei Cui3, Qin Hong1, Xiaowen Gu4, Jianbing Yin3, Rongfang Cai3, Gaofeng Xu1.   

Abstract

OBJECTIVES: The objective is to compare the efficacy of diffusion-weighted imaging (DWI) parameters of mean and minimum apparent diffusion coefficient (ADCmean and ADCmin) and intravoxel incoherent motion (IVIM) in the differentiation of benign and malignant lung nodules and masses.
METHODS: Lung lesions measured larger than 1.5 cm on CT were included between August 2015 and September 2018. DWI (10 b-values, 0-1000 s/mm2) scans were performed, and the data were post-processed to derive the ADCmean, ADCmin and IVIM parameters of true diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f). An independent sample t-test or Mann-Whitney U test was used to compare benign and malignant parameters. Receiver operating characteristic curves were generated and a Z test was used.
RESULTS: 121 patients were finally enrolled, each with one lesion. Examined 121 lesions were malignant in 88 (72.7%) and benign in 33 (27.3%). The ADCmean of malignant pulmonary nodules was significantly lower than that of benign pulmonary nodules (t = 3.156, p = 0.006), whereas the other parameters revealed no significant differences (p = 0.162-0.690). Receiver operating characteristic curve analysis revealed that an ADCmean threshold value of 1.43 × 10-3 mm2/s yielded 88.57% sensitivity and 64.29% specificity. While for lung masses, the ADCmean, ADCmin, D and D* values in malignant pulmonary masses were significantly lower (P﹤0.001-0.011). Among them, the D value exhibited the best diagnostic performance when the threshold of D was 1.23 × 10-3mm2/s, which yielded a sensitivity of 90.57% and a specificity of 89.47% (Z = 2.230, 3.958, 2.877 and p = 0.026, ﹤0.001 and 0.004, respectively).
CONCLUSION: ADC is the most robust parameter to differentiate benign and malignant lung nodules, whereas D is the most robust parameter to differentiate benign and malignant lung masses. ADVANCES IN KNOWLEDGE: This is the first study to compare all the quantitative parameters of DWI and IVIM mentioned in the literatures for assessing lung lesions; Second, we divided the lesions into lung nodules and lung masses with the size of 3 cm as the boundary.

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Year:  2020        PMID: 32163295     DOI: 10.1259/bjr.20190400

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  4 in total

1.  Comparison of the Differential Diagnostic Performance of Intravoxel Incoherent Motion Imaging and Diffusion Kurtosis Imaging in Malignant and Benign Thyroid Nodules.

Authors:  Liling Jiang; Jiao Chen; Haiping Huang; Jian Wu; Junbin Zhang; Xiaosong Lan; Daihong Liu; Jiuquan Zhang
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

Review 2.  Value of IVIM in Differential Diagnoses between Benign and Malignant Solitary Lung Nodules and Masses: A Meta-analysis.

Authors:  Yirong Chen; Qijia Han; Zhiwei Huang; Mo Lyu; Zhu Ai; Yuying Liang; Haowen Yan; Mengzhu Wang; Zhiming Xiang
Journal:  Front Surg       Date:  2022-06-01

3.  Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Quantitative Differentiation of Breast Tumors: A Meta-Analysis.

Authors:  Jianye Liang; Sihui Zeng; Zhipeng Li; Yanan Kong; Tiebao Meng; Chunyan Zhou; Jieting Chen; YaoPan Wu; Ni He
Journal:  Front Oncol       Date:  2020-10-20       Impact factor: 6.244

4.  Differentiating the lung lesions using Intravoxel incoherent motion diffusion-weighted imaging: a meta-analysis.

Authors:  Jianye Liang; Jing Li; Zhipeng Li; Tiebao Meng; Jieting Chen; Weimei Ma; Shen Chen; Xie Li; Yaopan Wu; Ni He
Journal:  BMC Cancer       Date:  2020-08-24       Impact factor: 4.430

  4 in total

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