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Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms.
Zhang, Shuo; Du, Yonghao; Liang, Ting; Zhang, Xuyin; Guo, Yinxia; Yang, Jian; Li, Xianjun; Niu, Gang.
Affiliation
  • Zhang S; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Du Y; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Liang T; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Zhang X; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Guo Y; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Yang J; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China.
  • Li X; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China. xianj.li@mail.xjtu.edu.cn.
  • Niu G; Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Yanta District, Xi'an, 710061, P.R. China. niugang369@mail.xjtu.edu.cn.
Cancer Imaging ; 24(1): 88, 2024 Jul 06.
Article in En | MEDLINE | ID: mdl-38971790
ABSTRACT

BACKGROUND:

The aim of the study were as below. (1) To investigate the feasibility of intravoxel incoherent motion (IVIM)-based virtual magnetic resonance elastography (vMRE) to provide quantitative estimates of tissue stiffness in pulmonary neoplasms. (2) To verify the diagnostic performance of shifted apparent diffusion coefficient (sADC) and reconstructed virtual stiffness values in distinguishing neoplasm nature.

METHODS:

This study enrolled 59 patients (37 males, 22 females) with one pulmonary neoplasm who underwent computed tomography-guided percutaneous transthoracic needle biopsy (PTNB) with pathological diagnosis (26 adenocarcinoma, 10 squamous cell carcinoma, 3 small cell carcinoma, 4 tuberculosis and 16 non-specific benign; mean age, 60.81 ± 9.80 years). IVIM was performed on a 3 T magnetic resonance imaging scanner before biopsy. sADC and virtual shear stiffness maps reflecting lesion stiffness were reconstructed. sADC and virtual stiffness values of neoplasm were extracted, and the diagnostic performance of vMRE in distinguishing benign and malignant and detailed pathological type were explored.

RESULTS:

Compared to benign neoplasms, malignant ones had a significantly lower sADC and a higher virtual stiffness value (P < 0.001). Subsequent subtype analyses showed that the sADC values of adenocarcinoma and squamous cell carcinoma groups were significantly lower than non-specific benign group (P = 0.013 and 0.001, respectively). Additionally, virtual stiffness values of the adenocarcinoma and squamous cell carcinoma subtypes were significantly higher than non-specific benign group (P = 0.008 and 0.001, respectively). However, no significant correlation was found among other subtype groups.

CONCLUSIONS:

Non-invasive vMRE demonstrated diagnostic efficiency in differentiating the nature of pulmonary neoplasm. vMRE is promising as a new method for clinical diagnosis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Elasticity Imaging Techniques / Lung Neoplasms Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Imaging Journal subject: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Elasticity Imaging Techniques / Lung Neoplasms Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Imaging Journal subject: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Year: 2024 Document type: Article