AI Article Synopsis

  • Colorectal cancer is prevalent in Europe, making accurate lymph node staging crucial for treatment selection in rectal cancer patients.
  • This study analyzed the inter- and intraobserver variability in lymph node measurements and characteristics among radiologists with varying expertise using MRI scans of rectal adenocarcinoma patients.
  • Results showed that numerical measurements had better reproducibility than subjective assessments of morphological characteristics, highlighting the challenge of consistent evaluations in MRI lymph node staging.

Article Abstract

Colorectal cancer is the second most common cancer in Europe, and accurate lymph node staging in rectal cancer patients is essential for the selection of their treatment. MRI lymph node staging is complex, and few studies have been published regarding its reproducibility. This study assesses the inter- and intraobserver variability in lymph node size, apparent diffusion coefficient (ADC) measurements, and morphological characterization among inexperienced and experienced radiologists. Four radiologists with different levels of experience in MRI rectal cancer staging analyzed 36 MRI scans of 36 patients with rectal adenocarcinoma. Inter- and intraobserver variation was calculated using interclass correlation coefficients and Cohens-kappa statistics, respectively. Inter- and intraobserver agreement for the length and width measurements was good to excellent, and for that of ADC it was fair to good. Interobserver agreement for the assessment of irregular border was moderate, heterogeneous signal was fair, round shape was fair to moderate, and extramesorectal lymph node location was moderate to almost perfect. Intraobserver agreement for the assessment of irregular border was fair to substantial, heterogeneous signal was fair to moderate, round shape was fair to moderate, and extramesorectal lymph node location was substantial to almost perfect. Our data indicate that subjective variables such as morphological characteristics are less reproducible than numerical variables, regardless of the level of experience of the observers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534180PMC
http://dx.doi.org/10.3390/cancers13205120DOI Listing

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