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Related Concept Videos

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  3. Time-dependent Diffusion Mri-based Microstructural Mapping For Differentiating High-grade Serous Ovarian Cancer From Serous Borderline Ovarian Tumor.
  1. Home
  3. Time-dependent Diffusion Mri-based Microstructural Mapping For Differentiating High-grade Serous Ovarian Cancer From Serous Borderline Ovarian Tumor.

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Time-dependent diffusion MRI-based microstructural mapping for differentiating high-grade serous ovarian cancer from

Yuwei Cao1, Yao Lu1, Wenhui Shao1

  • 1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, China.

European Journal of Radiology
|July 17, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Time-dependent diffusion MRI effectively distinguishes high-grade serous ovarian cancer (HGSOC) from serous borderline ovarian tumors (SBOT). Microstructural parameters like intracellular fraction (fin) and cellularity show significant diagnostic value.

Keywords:
High-grade serous ovarian cancerIMPULSEDMRIMicrostructureSerous borderline ovarian tumorTime-dependent diffusion

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Distinguishing high-grade serous ovarian cancer (HGSOC) from serous borderline ovarian tumors (SBOT) is crucial for appropriate clinical management.
  • Current diagnostic methods may have limitations in accurately differentiating these tumor types based on imaging alone.

Purpose of the Study:

  • To evaluate the utility of time-dependent diffusion MRI-derived microstructural characteristics in differentiating HGSOC from SBOT.
  • To explore associations between these microstructural features and key immunohistochemical markers.

Main Methods:

  • Retrospective analysis of 34 HGSOC and 12 SBOT cases using preoperative pelvic MRI.
  • Application of the IMPULSED model to extract microstructural parameters: intracellular fraction (fin), cell diameter (d), cellularity, and extracellular diffusivity (Dex).
  • Comparison of parameters between HGSOC and SBOT, assessment of diagnostic performance, and correlation with immunohistochemical markers (Ki-67, P53, Pax-8, ER, PR).

    • Main Results:

    • Microstructural parameters fin, cellularity, Dex, and apparent diffusion coefficient (ADC) demonstrated strong diagnostic performance (AUCs ranging from 0.902 to 0.936) in differentiating HGSOC from SBOT.
    • Cellularity positively correlated with P53 expression, and Dex positively correlated with Pax-8 expression in HGSOC.
    • Excellent inter-rater agreement was observed for all parameters.

    Conclusions:

    • Time-dependent diffusion MRI is a valuable tool for assessing tumor microstructures in HGSOC and SBOT.
    • This advanced MRI technique can effectively discriminate between these two ovarian tumor types.