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KMID : 1103720230840051094
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Journal of the Korean Society of Radiology
2023 Volume.84 No. 5 p.1094 ~ p.1109
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Response Prediction after Neoadjuvant Chemotherapy for Colon Cancer Using CT Tumor Regression Grade: A Preliminary Study
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Je Hwan-Ju
Xiaohui Liu
Oh Hyun-Seok
Seo An-Na
Park Byung-Geon
Lee So-Mi
Kim See-Hyung
Kim Gab-Chul
Ryeom Hun-kyu
Choi Gyu-Seog
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Abstract
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Purpose : To investigate whether CT-based tumor regression grade (ctTRG) can be used to predict the response to neoadjuvant chemotherapy (NAC) in colon cancer.
Materials and Methods : A total of 53 patients were enrolled. Two radiologists independently assessed the ctTRG using the length, thickness, layer pattern, and luminal and extraluminal appearance of the tumor. Changes in tumor volume were also analyzed using the 3D Slicer software. We evaluated the association between pathologic TRG (pTRG) and ctTRG. Patients with Rodel’s TRG of 2, 3, or 4 were classified as responders. In terms of predicting responder and pathologic complete remission (pCR), receiver operating characteristic was compared between ctTRG and tumor volume change.
Results : There was a moderate correlation between ctTRG and pTRG (ρ = -0.540, p < 0.001), and the interobserver agreement was substantial (weighted κ = 0.672). In the prediction of responder, there was no significant difference between ctTRG and volumetry (Az = 0.749, criterion: ctTRG ≤ 3 for ctTRG, Az = 0.794, criterion: ≤ -27.1% for volume, p = 0.53). Moreover, there was no significant difference between the two methods in predicting pCR (p = 0.447).
Conclusion : ctTRG might predict the response to NAC in colon cancer. The diagnostic performance of ctTRG was comparable to that of CT volumetry.
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KEYWORD
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Colonic Neoplasm, Multidetector Computed Tomography, Neoadjuvant Therapy
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