# Diagnostic performance of quantitative measures from [18F]FDG PET/CT, [18F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer: data from the MAPPING study

**Authors:** Ben G King, Nishat Bharwani, William Wilson, Gary J.R Cook, Aslam Sohaib, Marielle Nobbenhuis, Victoria Warbey, Marc E. Miquel, Dow-Mu Koh, Katja N De Paepe, Pierre Martin-Hirsch, Sadaf Ghaem-Maghami, Christina Fotopoulou, Helen Stringfellow, Sudha Sundar, Ranjit Manchanda, Anju Sahdev, Allan Hackshaw, Tara D. Barwick, Andrea G. Rockall

PMC · DOI: 10.1007/s00259-025-07587-3 · European Journal of Nuclear Medicine and Molecular Imaging · 2025-11-03

## TL;DR

This study compares quantitative imaging techniques with visual assessment for detecting lymph node metastases in cervical and endometrial cancers, finding that quantitative measures do not outperform visual analysis.

## Contribution

The study evaluates novel quantitative metrics from [18F]FDG PET/CT, [18F]FEC PET/CT, and DW-MRI for detecting lymph node metastases in gynecological cancers.

## Key findings

- Lower ADCmean on DW-MRI was observed in metastatic nodes for cervical cancer but not endometrial cancer.
- SUVmax cut-offs showed similar performance to visual assessment in endometrial cancer, while ADCmean cut-offs had lower specificity.
- Quantitative measures did not outperform visual assessment in detecting nodal metastases in endometrial cancer.

## Abstract

To evaluate the diagnostic performance of quantitative measures derived from [18F]FDG PET/CT, [18F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer with comparison to standard visual PET analysis with histology as the reference standard.

Subanalysis of quantitative data from the prospective multicentre MAPPING study. Nodal and tumour SUVmax from [18F]FDG PET/CT and [18F]FEC PET/CT and ADCmean from DW-MRI were documented. Nodal-to-tumour ratios (NTR) and SUVmax-to-ADCmean ratio (STAR) were calculated. Optimal cut-offs of quantitative measures were compared to visual assessment on a regional basis using histopathology as the reference standard.

Scans from 112 patients (36 cervical and 76 endometrial cancers; 340 nodal regions) were eligible for quantitative image analysis. Lower ADCmean on DW-MRI was observed in metastatic nodes for cervical cancer but not for endometrial cancer. Quantitative measures were significantly higher in malignant than benign nodal regions on [18F]FDG PET/CT and [18F]FEC PET/CT in endometrial cancer. SUVmax cut-offs showed similar performance to visual assessment in the diagnosis of metastatic lymph nodes in endometrial cancer whilst ADCmean cut-offs showed significantly lower specificity than visual assessment. Interobserver agreement was excellent for SUVmax measurements on both [18F]FDG PET/CT and [18F]FEC PET/CT, but poor for ADCmean on DW-MRI.

Quantitative measures from [18F]FDG PET/CT, [18F]FEC PET/CT, or DW-MRI did not outperform visual assessment in the detection of nodal metastases in endometrial cancer. Therefore, the implementation of these quantitative measures as standalone diagnostic tools in routine clinical practice is not recommended.

The online version contains supplementary material available at 10.1007/s00259-025-07587-3.

## Linked entities

- **Chemicals:** [18F]FDG (PubChem CID 68614)
- **Diseases:** endometrial cancer (MONDO:0002447), cervical cancer (MONDO:0002974)

## Full-text entities

- **Diseases:** endometrial cancer (MESH:D016889), Nodal (MESH:D013611), metastatic lymph nodes (MESH:D000072717), cervical (MESH:D002575), nodal metastases (MESH:D009362), lymph node metastases (MESH:D008207), tumour (MESH:D009369), cervical cancer (MESH:D002583)
- **Chemicals:** [18F]FEC (-), [18F]FDG (MESH:D019788)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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## References

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Source: https://tomesphere.com/paper/PMC12920754