Literature DB >> 32462386

3.0 T MRI IVIM-DWI for predicting the efficacy of neoadjuvant chemoradiation for locally advanced rectal cancer.

Hongbo Hu1, Huijie Jiang2, Song Wang3, Hao Jiang1, Sheng Zhao1, Wenbin Pan1.   

Abstract

PURPOSE: The purpose of this study was to determine the diagnostic performance of intravoxel incoherent motion (IVIM) on assessing response to neoadjuvant chemoradiation (nCRT) in patients with Locally Advanced Rectal Cancer (LARC).
METHODS: 50 patients with rectal cancer who underwent magnetic resonance (MR) imaging before and after nCRT, the values of pre-nCRT and post-nCRT IVIM-DWI parameters apparent diffusion coefficient (ADC), diffusion coefficient (D), false diffusion coefficient (D*), and perfusion fraction (f), together with the percentage changes (∆% parametric value) induced by nCRT were calculated. According to the patient's response to nCRT, the patients were divided into pathological complete response (pCR) and non-pCR groups, Good Response (GR) group and Poor Response (PR) group, and the above values were compared between different groups. Univariate and multiple logistic regression analysis were done to investigate the relation between different parameters and patient nCRT. Draw ROC curve according to sensitivity and specificity, and compare its diagnostic efficacy.
RESULTS: There were no significant differences in the baseline data of 50 patients. After nCRT, the ADC and D values for LARC increased significantly (all p < 0.05). The pCR group (n = 9) had higher preD*, pref, postD*, ∆%ADC and ∆%D values than the non-pCR group (n = 41) (all p < 0.05). The GR group (n = 17) exhibited higher post D, ∆%ADC and ∆%D values than the PR group (n = 33) (all p < 0.05). From the results of Logistic regression analysis found that ∆%ADC and ∆%D were significantly correlated with patients' response to nCRT. Based on ROC analysis, ∆%D had a higher area under the curve value than ∆%ADC (p = 0.009) in discriminating the pCR from non-pCR groups.
CONCLUSIONS: IVIM-DWI technology may be helpful in identifying the pCR and GR patients to nCRT for LARC.

Entities:  

Keywords:  Intravoxel incoherent motion diffusion-weighted imaging; Magnetic resonance imaging; Neoadjuvant chemoradiotherapy; Rectal cancer

Mesh:

Year:  2021        PMID: 32462386      PMCID: PMC7864832          DOI: 10.1007/s00261-020-02594-4

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  31 in total

1.  Diffusion-weighted imaging for head and neck squamous cell carcinoma: quantifying repeatability to understand early treatment-induced change.

Authors:  Jenny K Hoang; Kingshuk Roy Choudhury; Jim Chang; Oana I Craciunescu; David S Yoo; David M Brizel
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

2.  Diffusion-weighted magnetic resonance imaging of rectal cancer: tumour volume and perfusion fraction predict chemoradiotherapy response and survival.

Authors:  Kine Mari Bakke; Knut Håkon Hole; Svein Dueland; Krystyna Kotanska Grøholt; Kjersti Flatmark; Anne Hansen Ree; Therese Seierstad; Kathrine Røe Redalen
Journal:  Acta Oncol       Date:  2017-02-17       Impact factor: 4.089

Review 3.  Non-Operative Management Versus Total Mesorectal Excision for Locally Advanced Rectal Cancer with Clinical Complete Response After Neoadjuvant Chemoradiotherapy: a GRADE Approach by the Rectal Cancer Guidelines Writing Group of the Italian Association of Medical Oncology (AIOM).

Authors:  Giulia Capelli; Irene De Simone; Gaya Spolverato; Michela Cinquini; Ivan Moschetti; Sara Lonardi; Gianluca Masi; Chiara Carlomagno; Domenico Corsi; Gabriele Luppi; Maria Antonietta Gambacorta; Francesca Valvo; Renato Cannizzaro; Federica Grillo; Brunella Barbaro; Angelo Restivo; Marco Messina; Alessandro Pastorino; Carlo Aschele; Salvatore Pucciarelli
Journal:  J Gastrointest Surg       Date:  2020-05-11       Impact factor: 3.452

4.  Morphologic predictors of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Chongda Zhang; Feng Ye; Yuan Liu; Han Ouyang; Xinming Zhao; Hongmei Zhang
Journal:  Oncotarget       Date:  2017-12-19

5.  Application of non-Gaussian water diffusional kurtosis imaging in the assessment of uterine tumors: A preliminary study.

Authors:  Aliou Amadou Dia; Masatoshi Hori; Hiromitsu Onishi; Makoto Sakane; Takashi Ota; Takahiro Tsuboyama; Mitsuaki Tatsumi; Tomoyuki Okuaki; Noriyuki Tomiyama
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

6.  Characterization of the diffusion coefficient of blood.

Authors:  Carsten Funck; Frederik Bernd Laun; Andreas Wetscherek
Journal:  Magn Reson Med       Date:  2017-09-23       Impact factor: 4.668

7.  Optimized Parameters of Diffusion-Weighted MRI for Prediction of the Response to Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer.

Authors:  Jie Li; Jia Wang; Jing Pang; Shougen Cao; Jingjing Chen; Wenjian Xu
Journal:  Biomed Res Int       Date:  2019-10-13       Impact factor: 3.411

8.  MRI texture analysis in predicting treatment response to neoadjuvant chemoradiotherapy in rectal cancer.

Authors:  Yankai Meng; Chongda Zhang; Shuangmei Zou; Xinming Zhao; Kai Xu; Hongmei Zhang; Chunwu Zhou
Journal:  Oncotarget       Date:  2017-12-22

9.  Impact of Tumor Regression Grade as a Major Prognostic Factor in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Proposal for a Modified Staging System.

Authors:  Changhoon Song; Joo-Hyun Chung; Sung-Bum Kang; Duck-Woo Kim; Heung-Kwon Oh; Hye Seung Lee; Jin Won Kim; Keun-Wook Lee; Jee Hyun Kim; Jae-Sung Kim
Journal:  Cancers (Basel)       Date:  2018-09-07       Impact factor: 6.639

10.  Value of intra-tumor heterogeneity evaluated by diffusion-weighted MRI for predicting pathological stages and therapeutic responses to chemoradiotherapy in lower rectal cancer.

Authors:  Michihiro Kudou; Masayoshi Nakanishi; Yoshiaki Kuriu; Yasutoshi Murayama; Tomohiro Arita; Mitsuo Kishimoto; Eiichi Konishi; Mariko Goto; Kei Yamada; Eigo Otsuji
Journal:  J Cancer       Date:  2020-01-01       Impact factor: 4.207

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  1 in total

1.  Combining Clinicopathology, IVIM-DWI and Texture Parameters for a Nomogram to Predict Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients.

Authors:  Rixin Su; Shusheng Wu; Hao Shen; Yaolin Chen; Jingya Zhu; Yu Zhang; Haodong Jia; Mengge Li; Wenju Chen; Yifu He; Fei Gao
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

  1 in total

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