Literature DB >> 34093918

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

Jandos Amankulov1,2, Galiya Akhmetova1, Dias Toleshbaev1,2, Zhamilya Zholdybay2, Laura Mangitova1, Dilyara Kaidarova3.   

Abstract

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-weighted 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. © Pol J Radiol 2021.

Entities:  

Keywords:  magnetic resonance imaging; rectal carcinoma; staging; tumour phenotype

Year:  2021        PMID: 34093918      PMCID: PMC8147714          DOI: 10.5114/pjr.2021.105607

Source DB:  PubMed          Journal:  Pol J Radiol        ISSN: 1733-134X


  30 in total

1.  Diagnostic accuracy of 3.0-Tesla rectal magnetic resonance imaging in preoperative local staging of primary rectal cancer.

Authors:  Seung Ho Kim; Jeong Min Lee; Min Woo Lee; Gi Hyeon Kim; Joon Koo Han; Byung Ihn Choi
Journal:  Invest Radiol       Date:  2008-08       Impact factor: 6.016

2.  Extramural depth of tumor invasion at thin-section MR in patients with rectal cancer: results of the MERCURY study.

Authors: 
Journal:  Radiology       Date:  2007-02-28       Impact factor: 11.105

3.  Morphologic predictors of lymph node status in rectal cancer with use of high-spatial-resolution MR imaging with histopathologic comparison.

Authors:  Gina Brown; Catherine J Richards; Michael W Bourne; Robert G Newcombe; Andrew G Radcliffe; Nicholas S Dallimore; Geraint T Williams
Journal:  Radiology       Date:  2003-05       Impact factor: 11.105

4.  High-resolution MR imaging for nodal staging in rectal cancer: are there any criteria in addition to the size?

Authors:  Joo Hee Kim; Geerard L Beets; Myeong-Jin Kim; Alfons G H Kessels; Regina G H Beets-Tan
Journal:  Eur J Radiol       Date:  2004-10       Impact factor: 3.528

Review 5.  MRI in local staging of rectal cancer: an update.

Authors:  Umit Tapan; Mustafa Ozbayrak; Servet Tatlı
Journal:  Diagn Interv Radiol       Date:  2014 Sep-Oct       Impact factor: 2.630

6.  Locally advanced rectal cancer: value of ADC mapping in prediction of tumor response to radiochemotherapy.

Authors:  Letizia Monguzzi; Davide Ippolito; Davide Paolo Bernasconi; Chiara Trattenero; Stefania Galimberti; Sandro Sironi
Journal:  Eur J Radiol       Date:  2012-11-01       Impact factor: 3.528

7.  Mean ADC values discriminate rectal mucinous carcinomafrom rectal nonmucinous adenocarcinoma

Authors:  Hale Çolakoğlu Er; Ayşe Erden
Journal:  Turk J Med Sci       Date:  2017-11-13       Impact factor: 0.973

8.  Rectal Cancer, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Al B Benson; Alan P Venook; Mahmoud M Al-Hawary; Lynette Cederquist; Yi-Jen Chen; Kristen K Ciombor; Stacey Cohen; Harry S Cooper; Dustin Deming; Paul F Engstrom; Jean L Grem; Axel Grothey; Howard S Hochster; Sarah Hoffe; Steven Hunt; Ahmed Kamel; Natalie Kirilcuk; Smitha Krishnamurthi; Wells A Messersmith; Jeffrey Meyerhardt; Mary F Mulcahy; James D Murphy; Steven Nurkin; Leonard Saltz; Sunil Sharma; David Shibata; John M Skibber; Constantinos T Sofocleous; Elena M Stoffel; Eden Stotsky-Himelfarb; Christopher G Willett; Evan Wuthrick; Kristina M Gregory; Lisa Gurski; Deborah A Freedman-Cass
Journal:  J Natl Compr Canc Netw       Date:  2018-07       Impact factor: 11.908

9.  Global patterns and trends in colorectal cancer incidence and mortality.

Authors:  Melina Arnold; Mónica S Sierra; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  Gut       Date:  2016-01-27       Impact factor: 23.059

10.  Value of MRI and diffusion-weighted MRI for the diagnosis of locally recurrent rectal cancer.

Authors:  Doenja M J Lambregts; Vincent C Cappendijk; Monique Maas; Geerard L Beets; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2011-01-16       Impact factor: 5.315

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