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Relationship between apparent diffusion coefficient and tumour cellularity in lung cancer.

Lihua Chen1, Jiuquan Zhang2, Yongfeng Chen3

  • 1Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China; Department of Radiology, PLA 101st Hospital, Wuxi Jiangsu, China.

Plos One
|June 12, 2014
PubMed
Summary

This study reveals an inverse relationship between tumor cellularity and apparent diffusion coefficient (ADC) in lung cancer. Cellularity is a key factor influencing ADC values in lung neoplasms.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Lung cancer is a leading cause of cancer-related mortality worldwide.
  • Accurate assessment of tumor characteristics is crucial for effective treatment planning.
  • Diffusion-weighted magnetic resonance imaging (DW-MRI) offers insights into tissue microstructure.

Purpose of the Study:

  • To investigate the correlation between apparent diffusion coefficient (ADC) and tumor cellularity in lung cancer.
  • To determine if cellularity is a significant predictor of ADC values in various lung cancer subtypes.

Main Methods:

  • Prospective study involving 60 patients with histopathologically confirmed lung cancer.
  • Diffusion-weighted MRI of the chest was performed using b values of 50 and 1000 s/mm2.
  • Apparent diffusion coefficient (ADC) values (mean and minimum) were calculated and compared with nucleo-cytoplasmic ratio (NCR) as a measure of cellularity.

Main Results:

  • A significant inverse relationship was observed between ADC mean and NCR (r = -0.60, P = 0.001).
  • A significant inverse relationship was also found between ADC minimum and NCR (r = -0.47, P < 0.001).
  • Squamous cell carcinoma and small cell lung cancer exhibited higher cellularity (NCR) compared to adenocarcinoma.

Conclusions:

  • Tumor cellularity demonstrates a significant inverse correlation with ADC in lung cancer.
  • While cellularity is a key determinant, it is likely not the sole factor influencing ADC values in lung neoplasms.