Diagnostic performance of magnetic resonance imaging in preoperative local staging of rectal cancer after neoadjuvant chemoradiotherapy


Journal

Diagnostic and interventional radiology (Ankara, Turkey)
ISSN: 1305-3612
Titre abrégé: Diagn Interv Radiol
Pays: Turkey
ID NLM: 101241152

Informations de publication

Date de publication:
29 03 2023
Historique:
medline: 30 3 2023
entrez: 27 3 2023
pubmed: 28 3 2023
Statut: ppublish

Résumé

This paper aims to investigate the diagnostic performance of magnetic resonance imaging (MRI) in predicting the pathologic stage of locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (CRT) and the role of MRI in selecting patients with a pathologic complete response (ypCR). Restaging MRI (yMRI) examinations of 136 patients with LARC treated with neoadjuvant CRT followed by surgery were retrospectively analyzed by two radiologists. All examinations were performed on a 1.5 Tesla MRI machine with a pelvic phased-array coil. T2-weighted turbo spin-echo images and diffusion-weighted imaging were obtained. Histopathologic reports of the surgical specimens were the reference standard. The accuracy, sensitivity, specificity, positive and negative predictive values (PPV and NPV) of yMRI in predicting the pathologic T-stage (ypT), N-stage, and ypCR were calculated. The inter-observer agreement was evaluated using kappa statistics. The yMRI results showed 67% accuracy, 59% sensitivity, 80% specificity, 81% PPV, and 56% NPV in identifying ypT (ypT0-2 versus ypT3-4). In predicting the nodal status, the yMRI results revealed 63% accuracy, 60% sensitivity, 65% specificity, 47% PPV, and 75% NPV. In predicting ypCR, the yMRI results showed 84% accuracy, 20% sensitivity, 92% specificity, 23% PPV, and 90% NPV. The kappa statistics revealed substantial agreement between the two radiologists. Utilization of yMRI showed high specificity and PPV in predicting the tumor stage and high NPV in predicting the nodal stage; in addition, yMRI revealed moderate accuracy in the T and N classifications, mainly due to underestimating the tumor stage and overestimating the nodal status. Finally, yMRI revealed high specificity and NPV but low sensitivity in predicting the complete response.

Identifiants

pubmed: 36971272
doi: 10.4274/dir.2022.221333
pmc: PMC10679710
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

219-227

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Auteurs

Hakkı Çelik (H)

Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Funda Barlık (F)

Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Selman Sökmen (S)

Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Cem Terzi (C)

Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Aras Emre Canda (AE)

Department of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Özgül Sağol (Ö)

Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Sülen Sarıoğlu (S)

Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Mehtat Ünlü (M)

Department of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

İlknur Bilkay Görken (İ)

Department of Radiation Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

Zümre Arıcan Alıcıkuş (Z)

Department of Radiation Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

İlhan Öztop (İ)

Department of Medical Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.

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