Literature DB >> 21398048

Value of diffusion-weighted magnetic resonance imaging for prediction and early assessment of response to neoadjuvant radiochemotherapy in rectal cancer: preliminary results.

Maarten Lambrecht1, Vincent Vandecaveye, Frederik De Keyzer, Sarah Roels, Freddy Penninckx, Eric Van Cutsem, Claus Filip, Karin Haustermans.   

Abstract

PURPOSE: To evaluate diffusion-weighted magnetic resonance imaging (DWI) for response prediction before and response assessment during and early after preoperative radiochemotherapy (RCT) for locally advanced rectal cancer (LARC). METHODS AND MATERIALS: Twenty patients receiving RCT for LARC underwent MRI including DWI before RCT, after 10-15 fractions and 1 to 2 weeks before surgery. Tumor volume and apparent diffusion coefficient (ADC; b-values: 0-1000 s/mm(2)) were determined at all time points. Pretreatment tumor ADC and volume, tumor ADC change (∆ADC), and volume change (∆V) between pretreatment and follow-up examinations were compared with histopathologic findings after total mesorectal excision (pathologic complete response [pCR] vs. no pCR, ypT0-2 vs. ypT3-4, T-downstaging or not). The discriminatory capability of pretreatment tumor ADC and volume, ∆ADC, and ∆V for the detection of pCR was compared with receiver operating characteristics analysis.
RESULTS: Pretreatment ADC was significantly lower in patients with pCR compared with patients without (in mm(2)/s: 0.94 ± 0.12 × 10(-3) vs. 1.19 ± 0.22 × 10(-3), p = 0.003), yielding a sensitivity of 100% and specificity of 86% for detection of pCR. The volume reduction during and after RCT was significantly higher in patients with pCR compared with patients without (in %: ΔV(during): -62 ± 16 vs. -33 ± 16, respectively, p = 0.015; and ΔV(post): -86 ± 12 vs. -60 ± 21, p = 0.012), yielding a sensitivity of 83% and specificity of 71% for the ΔV(during) and, respectively, 83% and 86% for the ΔV(post). The ∆ADC during (ΔADC(during)) and after RCT (ΔADC(post)) showed a significantly higher value in patients with pCR compared with patients without (in %: ΔADC(during): 72 ± 14 vs. 16 ± 12, p = 0.0006; and ΔADC(post): 88 ± 35 vs. 26 ± 19, p = 0.0011), yielding a sensitivity and specificity of 100% for the ΔADC(during) and, respectively, 100% and 93% for the ΔADC(post).
CONCLUSIONS: These initial findings indicate that DWI, using pretreatment ADC, ΔADC(during), and ΔADC(post) may be useful for prediction and early assessment of pathologic response to preoperative RCT of LARC, with higher accuracy than volumetric measurements.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21398048     DOI: 10.1016/j.ijrobp.2010.12.063

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  64 in total

Review 1.  Functional MRI for radiotherapy dose painting.

Authors:  Uulke A van der Heide; Antonetta C Houweling; Greetje Groenendaal; Regina G H Beets-Tan; Philippe Lambin
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  Diffusion-weighted magnetic resonance imaging for predicting the response of rectal cancer to neoadjuvant concurrent chemoradiation.

Authors:  Gang Cai; Ye Xu; Ji Zhu; Wei-Lie Gu; Shuai Zhang; Xue-Jun Ma; San-Jun Cai; Zhen Zhang
Journal:  World J Gastroenterol       Date:  2013-09-07       Impact factor: 5.742

3.  The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Jing Yu; Qing Xu; Jia-Cheng Song; Yan Li; Xin Dai; Dong-Ya Huang; Ling Zhang; Yang Li; Hai-Bin Shi
Journal:  Eur Radiol       Date:  2016-09-08       Impact factor: 5.315

Review 4.  Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

Review 5.  Diffusion-weighted imaging in rectal cancer: current applications and future perspectives.

Authors:  Niels W Schurink; Doenja M J Lambregts; Regina G H Beets-Tan
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

6.  Development and validation of an MRI-based model to predict response to chemoradiotherapy for rectal cancer.

Authors:  Philippe Bulens; Alice Couwenberg; Karin Haustermans; Annelies Debucquoy; Vincent Vandecaveye; Marielle Philippens; Mu Zhou; Olivier Gevaert; Martijn Intven
Journal:  Radiother Oncol       Date:  2018-01-31       Impact factor: 6.280

7.  Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Authors:  Liming Shi; Yang Zhang; Ke Nie; Xiaonan Sun; Tianye Niu; Ning Yue; Tiffany Kwong; Peter Chang; Daniel Chow; Jeon-Hor Chen; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2019-05-03       Impact factor: 2.546

Review 8.  Advances and challenges in treatment of locally advanced rectal cancer.

Authors:  J Joshua Smith; Julio Garcia-Aguilar
Journal:  J Clin Oncol       Date:  2015-04-27       Impact factor: 44.544

9.  Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology.

Authors:  Francesco De Cobelli; Francesco Giganti; Elena Orsenigo; Michaela Cellina; Antonio Esposito; Giulia Agostini; Luca Albarello; Elena Mazza; Alessandro Ambrosi; Carlo Socci; Carlo Staudacher; Alessandro Del Maschio
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

Review 10.  Evaluation of Head and Neck Tumors with Functional MR Imaging.

Authors:  Jacobus F A Jansen; Carlos Parra; Yonggang Lu; Amita Shukla-Dave
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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