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Utilization of diffusion-weighted derived mathematical models to predict prognostic factors of resectable rectal cancer.
Zhou, Mi; Bao, Deying; Huang, Hongyun; Chen, Meining; Jiang, Wenli.
Afiliação
  • Zhou M; Department of Radiology, Sichuan Provincial Orthopedic Hospital, Chengdu, China. 1152372320@qq.com.
  • Bao D; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
  • Huang H; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
  • Chen M; Department of MR Scientific Marketing, Siemens Healthineers, Shanghai, 200135, China.
  • Jiang W; Department of Radiology, Second Affiliated Hospital of Chongqing University of Medical Sciences, Chongqing, 400010, China.
Abdom Radiol (NY) ; 49(9): 3282-3293, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38744701
ABSTRACT

PURPOSE:

This study explored models of monoexponential diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), stretched exponential (SEM), fractional-order calculus (FROC), and continuous-time random-walk (CTRW) as diagnostic tools for assessing pathological prognostic factors in patients with resectable rectal cancer (RRC).

METHODS:

RRC patients who underwent radical surgery were included. The apparent diffusion coefficient (ADC), the mean kurtosis (MK) and mean diffusion (MD) from the DKI model, the distributed diffusion coefficient (DDC) and α from the SEM model, D, ß and u from the FROC model, and D, α and ß from the CTRW model were assessed.

RESULTS:

There were a total of 181 patients. The area under the receiver operating characteristic (ROC) curve (AUC) of CTRW-α for predicting histology type was significantly higher than that of FROC-u (0.780 vs. 0.671, p = 0.043). The AUC of CTRW-α for predicting pT stage was significantly higher than that of FROC-u and ADC (0.786 vs.0.683, p = 0.043; 0.786 vs. 0.682, p = 0.030), the difference in predictive efficacy of FROC-u between ADC and MK was not statistically significant [0.683 vs. 0.682, p = 0.981; 0.683 vs. 0.703, p = 0.720]; the difference between the predictive efficacy of MK and ADC was not statistically significant (p = 0.696). The AUC of CTRW (α + ß) (0.781) was significantly higher than that of FROC-u (0.781 vs. 0.625, p = 0.003) in predicting pN stage but not significantly different from that of MK (p = 0.108).

CONCLUSION:

The CTRW and DKI models may serve as imaging biomarkers to predict pathological prognostic factors in RRC patients before surgery.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imagem de Difusão por Ressonância Magnética Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imagem de Difusão por Ressonância Magnética Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos