Multiple diffusion models for predicting pathologic response of esophageal squamous cell carcinoma to neoadjuvant chemotherapy.

Background: To assess the feasibility and diagnostic performance of the fractional order calculus (FROC), continuous-time random-walk (CTRW), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), mono-exponential (MEM) and stretched exponential models (SEM) for predicting response t...

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Published in:Abdominal Radiology Vol. 49; no. 12; pp. 4216 - 4227
Main Authors: Bai, Bingmei, Cui, Long, Chu, Funing, Wang, Zhaoqi, Zhao, Keke, Wang, Shuting, Wang, Shaoyu, Yan, Xu, Wang, Mengzhu, Kamel, Ihab R., Yang, Guang, Qu, Jinrong
Format: Journal Article
Published: Springer Nature Dec2024
Online Access:View this record in EBSCOhost
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      dt: Dec2024
      vid: 49
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      pub: Springer Nature
      place: New York, New York
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        178205614
        10.1007/s00261-024-04474-7
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        atl: Multiple diffusion models for predicting pathologic response of esophageal squamous cell carcinoma to neoadjuvant chemotherapy.
      aug:
        au:
          Bai, Bingmei
          Cui, Long
          Chu, Funing
          Wang, Zhaoqi
          Zhao, Keke
          Wang, Shuting
          Wang, Shaoyu
          Yan, Xu
          Wang, Mengzhu
          Kamel, Ihab R.
          Yang, Guang
          Qu, Jinrong
        affil: https://ror.org/043ek5g31 Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, 450008, Zhengzhou, Henan, China
      sug:
      ab: Background: To assess the feasibility and diagnostic performance of the fractional order calculus (FROC), continuous-time random-walk (CTRW), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), mono-exponential (MEM) and stretched exponential models (SEM) for predicting response to neoadjuvant chemotherapy (NACT) in patients with esophageal squamous cell carcinoma (ESCC). Materials and methods: This study prospectively included consecutive ESCC patients with baseline and follow up MR imaging and pathologically confirmed cT1-4aN + M0 or T3-4aN0M0 and underwent radical resection after neoadjuvant chemotherapy (NACT) between July 2019 and January 2023. Patients were divided into pCR (TRG 0) and non-pCR (TRG1 + 2 + 3) groups according to tumor regression grading (TRG). The Pre-, Post- and Delta-treatment models were built. 18 predictive models were generated according to different feature categories, based on six models by five-fold cross-validation. Areas under the curve (AUCs) of the models were compared by using DeLong method. Results: Overall, 90 patients (71 men, 19 women; mean age, 64 years ± 6 [SD]) received NACT and underwent baseline and Post-NACT esophageal MRI, with 29 patients in the pCR group and 61 patients in the non-pCR group. Among 18 predictive models, The Pre-, Post-, and Delta-CTRW model showed good predictive efficacy (AUC = 0.722, 0.833 and 0.790). Additionally, the Post-FROC model (AUC = 0.907) also exhibited good diagnostic performance. Conclusions: Our study indicates that the CTRW model, along with the Post-FROC model, holds significant promise for the future of NACT efficacy prediction in ESCC patients.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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