Single-centre evaluation and staging of rectal carcinoma on a 3-tesla magnetic resonance imaging and correlation with histological profile

Amankulov J. Akhmetova G. Toleshbaev D. Zholdybay Z. Mangitova L. Kaidarova D.
2021 Termedia Publishing House Ltd.

Polish Journal of Radiology
2021 #86 Issue 1 e217 - e224 pp.

Purpose: To assess magnetic resonance imaging (MRI) features of rectal carcinoma in correlation with pathology, and to evaluate the diagnostic accuracy of 3-Tesla MRI. Material and methods: A total of 86 patients were included. 3T MR imaging was conducted pre-operatively, with imaging data correlated to pathology results. High-resolution, 2-dimensional, T2-weighted fast-spin echo sequences in the sagittal, axial, and coronal planes used to tumour staging. Diffusion-weighted images were used to increase the accuracy of tumour evaluation. Results: Rectal carcinoma was staged as T3 in 45.3% of all patients (n = 39), without involvement of the mesorectal fascia in 31.4% (n = 27), and with a possible or obvious invasion in 14% of patients (n = 12). The diagnostic accuracy of 3T MRI was 97.6% for the T1 stage, 92.1% for T2, 89% for T3, and 90% for T4 tumours. MR-derived extramural vascular invasion (EMVI) was found in 16.2% (n = 14), with an estimated diagnostic accuracy of 95%. Diffusion-weight-ed images and apparent diffusion coefficient were estimated for the different histology types of rectal carcinoma. The average apparent diffusion coefficient for adenocarcinoma was 0.846 ± 0.17, for mucinous adenocarcinoma it was 1.17 ± 0.08, and for signet cell and squamous carcinomas it was 0.91 ± 0.11 and 0.796 ± 0.21 mm²/s, respectively. Conclusions: 3T MRI enables high levels of diagnostic accuracy in local rectal carcinoma staging, including assessment of mesorectal fascia infiltration and EMVI-status with high accuracy.

Magnetic resonance imaging , Rectal carcinoma , Staging , Tumour phenotype

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Department of Radiology and Nuclear Medicine, Kazakh Institute of Oncology and Radiology, Kazakhstan
Department of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Kazakhstan
Department of Medical Oncology, Kazakh Institute of Oncology and Radiology, Kazakhstan

Department of Radiology and Nuclear Medicine
Department of Visual Diagnostics
Department of Medical Oncology

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