MRI cytometry imaging for cervical cancer differential diagnosis: a preliminary study

Area of Science:

• Radiology and Medical Imaging
• Oncology
• Biophysics

Background:

• Noninvasive detection and differentiation of cervical cancer subtypes remain a clinical challenge.
• Diffusion MRI (dMRI)-based cytometry offers potential for quantifying tumor microenvironments but needs validation.

Purpose of the Study:

• To evaluate the diagnostic performance of dMRI-derived microstructural parameters for detecting cervical cancer.
• To assess the ability of these parameters to differentiate between pathological subtypes of cervical cancer.

Main Methods:

• 74 cervical cancer patients and 44 healthy volunteers underwent 3T dMRI using oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) sequences.
• Microstructural parameters including intracellular volume fraction, cell diameter, extracellular diffusivity, and water exchange rate were calculated.
• Receiver operating characteristic (ROC) curves analyzed diagnostic and differentiation accuracy.

Main Results:

• High inter-reader reliability was observed for image quality assessment.
• Microstructural parameters effectively distinguished cancerous from normal tissues (higher intracellular volume, lower cell diameter, higher extracellular diffusivity in tumors).
• Squamous carcinomas showed distinct lower intracellular volume and cell diameter values compared to other subtypes.

Conclusions:

• MRI cytometry-derived microstructural parameters reliably detect cervical cancer and differentiate its pathological subtypes.
• This noninvasive approach enhances preoperative assessment accuracy.
• The technique demonstrates considerable clinical potential for improved cervical cancer management.