S1 Data -

(XLSX)</p

Histologic examination of core needle biopsies.

A case representing two core needle biopsies examined using three step sections in (a). Core needle biopsy in (b) representing three cores showing tumor infiltration from 20% to 80% (arrows).</p

Peritumoral inflammation and lymphovascular space invasion.

Squamous cell carcinoma with strong peritumoral inflammtory response with lymphocytic (a) and eosinophilic (b) predominance. Multiple lymphovascular involvement (arrows) is shown in (c). Intravascular tumor cell surrounded by lymphoepithelial cells in lymphovascular space invasion can be seen in (d).</p

Multivariable logistic regression model for correct assessment of lymphovascular space invasion (LVSI) and tumor grading.

Multivariable logistic regression model for correct assessment of lymphovascular space invasion (LVSI) and tumor grading.</p

Patient- and tumor characteristics.

Patient- and tumor characteristics.</p

T1 weighted post-contrast sagittal 3D VIBE (a) and fused PET/MRI image (b) of an inhomogeneously contrast-enhancing and FDG avid cervical cancer lesion.

<p>Image c and d show corresponding tracer uptake in PET (c) and restricted diffusion in DWI (d₁) with low signal intensity on the corresponding ADC map (d₂).</p

Correlations of the maximum Standardized Uptake Value (SUV_max) and the minimum Apparent Diffusion Coefficient (ADC_min).

<p>Column a shows correlations for all tumor lesions. Column b shows correlations after subdivision into primary versus recurrent tumor lesions and column c yields correlations after subdivision into cervical cancer lesions and lymph node metastases.</p

Scatter plot showing a significant inverse correlation between the ADC_min and the SUV_max for primary and recurrent cervical cancer lesions.

<p>(n = 12; R = −0.628; p<0.05).</p

Scatter plot demonstrating a significant inverse correlation between the ADC_min and the SUV_max for primary cervical cancer lesions and associated lymph node metastases.

<p>(n = 21; R = −0.692; p<0.05).</p

Correlations of ADC_min and SUV_max of primary and recurrent cancer lesions, demonstrating a tendency of higher ADC_min and lower SUV_max values for recurrent cancers.

<p>Correlations of ADC_min and SUV_max of primary and recurrent cancer lesions, demonstrating a tendency of higher ADC_min and lower SUV_max values for recurrent cancers.</p