AI Article Synopsis

  • The study investigates the effectiveness of a new MRI-based tumor-regression grading (MRI-TRG) system in predicting pathological outcomes for patients with locally advanced rectal cancer after neoadjuvant therapy.
  • A four-category MRI-TRG system was developed and tested against the established AJCC/CAP TRG classification, showing strong agreement and high sensitivity and specificity for detecting complete pathological response.
  • Results indicate that the MRI-TRG system is a promising non-invasive tool that can reliably identify patients with complete responses, potentially serving as an alternative to the AJCC/CAP classification.

Article Abstract

Background: The potential of using magnetic resonance image tumour-regression grading (MRI-TRG) system to predict pathological TRG is debatable for locally advanced rectal cancer treated by neoadjuvant radiochemotherapy.

Methods: Referring to the American Joint Committee on Cancer/College of American Pathologists (AJCC/CAP) TRG classification scheme, a new four-category MRI-TRG system based on the volumetric analysis of the residual tumour and radiochemotherapy induced anorectal fibrosis was established. The agreement between them was evaluated by Kendall's tau-b test, while Kaplan-Meier analysis was used to calculate survival outcomes.

Results: In total, 1033 patients were included. Good agreement between MRI-TRG and AJCC/CAP TRG classifications was observed (k = 0.671). Particularly, as compared with other pairs, MRI-TRG 0 displayed the highest sensitivity [90.1% (95% CI: 84.3-93.9)] and specificity [92.8% (95% CI: 90.4-94.7)] in identifying AJCC/CAP TRG 0 category patients. Except for the survival ratios that were comparable between the MRI-TRG 0 and MRI-TRG 1 categories, any two of the four categories had distinguished 3-year prognosis (all P < 0.05). Cox regression analysis further proved that the MRI-TRG system was an independent prognostic factor (all P < 0.05).

Conclusion: The new MRI-TRG system might be a surrogate for AJCC/CAP TRG classification scheme. Importantly, the system is a reliable and non-invasive way to identify patients with complete pathological responses.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296509PMC
http://dx.doi.org/10.1038/s41416-022-01801-xDOI Listing

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