Literature DB >> 33472660

Apparent diffusion coefficient for the prediction of tumor response to neoadjuvant chemo-radiotherapy in locally advanced rectal cancer.

Mengjing Zhao1, Lihao Zhao2, Han Yang2, Yuxia Duan3, Gang Li4.   

Abstract

BACKGROUND: Patients with locally advanced rectal cancer generally have different response rates to preoperative neoadjuvant chemo-radiotherapy. This study investigated the value of the apparent diffusion coefficient (ADC) as a predictor to forecast the response to neoadjuvant chemo-radiotherapy in patients with locally advanced rectal cancer.
METHODS: Ninety-one locally advanced rectal cancer patients who underwent neoadjuvant chemo-radiotherapy between 2015 and 2018 were enrolled. Diffusion-weighted magnetic resonance imaging was performed before treatment and within 4 weeks after the completion of neoadjuvant chemo-radiotherapy. Mean ADC values of regions of interest were evaluated by two radiologists. The tumor response was evaluated according to RESCIST 1.1. The cut-off value for the mean ADC and increasing percentage (ΔADC%) after neoadjuvant chemo-radiotherapy was calculated using the receiver operating characteristic curve. The response rate of pre-ADC and ΔADC% above/below the cut-off values was determined using the chi-square test, respectively. Primary tumor progression-free survival (PFS) was analyzed using the Kaplan-Meier method, based on the pre-ADC and ΔADC% cut-off values.
RESULTS: The cut-off value of mean pre-ADC and ΔADC% was 0.94 × 10-3 mm2/s (80.36% sensitivity, 74.29% specificity) and 26.0% (73.21% sensitivity, 77.14% specificity), respectively. Lower mean pre-ADC values were related to a better response rate (83.3% vs 29.7%, P < 0.001) and PFS (26.12 vs 17.70 months, P = 0.004). ΔADC% above the cut-off value was also related to a better response rate (83.7% vs 35.7%, P < 0.001) and PFS (26.93 vs 15.65 months, P = 0.034).
CONCLUSIONS: The mean ADC pre-treatment value and ΔADC% were potential predictors for the tumor response in locally advanced rectal cancer patients treated with neoadjuvant chemo-radiotherapy.

Entities:  

Keywords:  Apparent diffusion coefficient; Locally advanced rectal cancer; Neoadjuvant chemo-radiotherapy; Primary tumor progression-free survival; Tumor response rate

Year:  2021        PMID: 33472660      PMCID: PMC7819172          DOI: 10.1186/s13014-020-01738-6

Source DB:  PubMed          Journal:  Radiat Oncol        ISSN: 1748-717X            Impact factor:   3.481


  29 in total

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Journal:  N Engl J Med       Date:  2006-09-14       Impact factor: 91.245

2.  Diffusion-weighted MRI and MR- volumetry--in the evaluation of tumor response after preoperative chemoradiotherapy in patients with locally advanced rectal cancer.

Authors:  Bilge Birlik; Funda Obuz; Funda D Elibol; Ahmet O Celik; Selman Sokmen; Cem Terzi; Ozgul Sagol; Sulen Sarioglu; Ilknur Gorken; Ilhan Oztop
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3.  Quantitative Assessment of Rectal Cancer Response to Neoadjuvant Combined Chemotherapy and Radiation Therapy: Comparison of Three Methods of Positioning Region of Interest for ADC Measurements at Diffusion-weighted MR Imaging.

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Journal:  Radiology       Date:  2017-02       Impact factor: 11.105

4.  Diffusion-Weighted Magnetic Resonance Imaging in Liver Graft Rejection.

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Journal:  Transplant Proc       Date:  2018-04-11       Impact factor: 1.066

5.  Assessment of treatment response after lung stereotactic body radiotherapy using diffusion weighted magnetic resonance imaging and positron emission tomography: A pilot study.

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Journal:  Eur J Radiol       Date:  2017-04-28       Impact factor: 3.528

6.  Accuracy of radiological staging in identifying high-risk colon cancer patients suitable for neoadjuvant chemotherapy: a multicentre experience.

Authors:  S Dighe; I Swift; L Magill; K Handley; R Gray; P Quirke; D Morton; M Seymour; B Warren; G Brown
Journal:  Colorectal Dis       Date:  2012-04       Impact factor: 3.788

7.  Prediction of lymphovascular invasion in rectal cancer by preoperative CT.

Authors:  Chih-Chun Wu; Rheun-Chuan Lee; Cheng-Yen Chang
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

Review 8.  Technology insight: water diffusion MRI--a potential new biomarker of response to cancer therapy.

Authors:  Daniel M Patterson; Anwar R Padhani; David J Collins
Journal:  Nat Clin Pract Oncol       Date:  2008-02-26

9.  Diffusion-Weighted MRI in the Assessment of Early Treatment Response in Patients with Squamous-Cell Carcinoma of the Head and Neck: Comparison with Morphological and PET/CT Findings.

Authors:  Eduardo Bruno Lobato Martins; Rubens Chojniak; Luis Paulo Kowalski; Ulisses Ribaldo Nicolau; Eduardo Nóbrega Pereira Lima; Almir Galvão Vieira Bitencourt
Journal:  PLoS One       Date:  2015-11-12       Impact factor: 3.240

10.  Apparent Diffusion Coefficient (ADC) value: a potential imaging biomarker that reflects the biological features of rectal cancer.

Authors:  Yiqun Sun; Tong Tong; Sanjun Cai; Rui Bi; Chao Xin; Yajia Gu
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

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  3 in total

1.  Predictive role of diffusion-weighted MRI in the assessment of response to total neoadjuvant therapy in locally advanced rectal cancer.

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Journal:  Eur Radiol       Date:  2022-08-18       Impact factor: 7.034

2.  Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study.

Authors:  Sweet Ping Ng; Carlos E Cardenas; Houda Bahig; Baher Elgohari; Jihong Wang; Jason M Johnson; Amy C Moreno; Shalin J Shah; Adam S Garden; Jack Phan; G Brandon Gunn; Steven J Frank; Yao Ding; Lumine Na; Ying Yuan; Diana Urbauer; Abdallah S R Mohamed; David I Rosenthal; William H Morrison; Michael P MacManus; Clifton D Fuller
Journal:  Curr Oncol       Date:  2022-08-31       Impact factor: 3.109

Review 3.  Current progress and future perspectives of neoadjuvant anti-PD-1/PD-L1 therapy for colorectal cancer.

Authors:  Zhengyang Yang; Guocong Wu; Xiao Zhang; Jiale Gao; Cong Meng; Yishan Liu; Qi Wei; Liting Sun; Pengyu Wei; Zhigang Bai; Hongwei Yao; Zhongtao Zhang
Journal:  Front Immunol       Date:  2022-09-09       Impact factor: 8.786

  3 in total

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