Literature DB >> 27253423

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.

Ivana M Blazic1, Gordana B Lilic1, Milan M Gajic1.   

Abstract

Purpose To determine the impact of three different methods of region of interest (ROI) positioning for apparent diffusion coefficient (ADC) measurements on the assessment of complete response (CR) to neoadjuvant combined chemotherapy and radiation therapy (CRT) in patients with rectal cancer. Materials and Methods Institutional review board approval was obtained for this study; all patients gave written informed consent. ADCs were measured by two radiologists using three circular ROIs (three-ROIs), single-section (SS), and whole-tumor volume (WTV) methods in 62 patients with locally advanced rectal cancer on pre- and post-CRT images. Interobserver variability was analyzed by calculating intraclass correlation coefficient (ICC). Descriptive statistics and areas under the receiver operating characteristic curves (AUCs) were calculated to evaluate performance in determining CR from pre- and post-CRT ADCs and ADC change. Histopathologic tumor regression grade was the reference standard. Results SS and WTV methods yielded higher AUCs than did the three-ROIs method when determining CR from post-CRT ADC (0.874 [95% confidence interval {CI}: 0.778, 0.970] and 0.886 [95% CI: 0.781, 0.990] vs 0.731 [95% CI: 0.583, 0.878], respectively; P = .033 and P = .003) and numeric change (0.892 [95% CI: 0.812, 0.972] and 0.897 [95% CI: 0.801, 0.994] vs 0.740 [95% CI: 0.591, 0.890], respectively; P = .048 and P = .0021). Respective accuracies of SS, WTV, and three-ROIs methods were 79% (49 of 62), 77% (48 of 62), and 61% (38 of 62) for post-CRT, 79% (49 of 62), 86% (53 of 62), and 60% (37 of 62) for numeric ADC change, and 77% (48 of 62), 84% (52 of 62), and 57% (35 of 62) for percentage ADC change (ADC cut-offs: 1.21, 1.30, and 1.05 × 10-3 mm2/sec, 0.33, 0.45, and 0.27 × 10-3 mm2/sec increases, and 40%, 54%, and 27% increases, respectively). Post-CRT and ADC change measurements achieved negative predictive values of 96% (44 of 46) to 100% (39 of 39). Intraobserver agreement was highest for WTV-derived ADCs (ICC, 0.742 [95% CI: 0.316, 0.892] to 0.891 [95% CI: 0.615, 0.956]) and higher for all pretreatment than posttreatment measurements (ICC, 0.761 [95% CI: 0.209, 0.930] and 0.648 [95% CI: 0.164, 0.895] for three-ROIs method, 0.608 [95% CI: 0.287, 0.844] and 0.582 [95% CI: 0.176, 0.870] for SS method, 0.891 [95% CI: 0.615, 0.956] and 0.742 for WTV method [95% CI: 0.316, 0.892]). Conclusion Tumor ADCs are highly dependent on the ROI positioning method used. Larger area measurements yield greater accuracy in response assessment. Post-CRT ADCs and values of ADC changes accurately identify noncomplete responders. WTV measurement of percentage ADC change provides the best results. © RSNA, 2016 An earlier incorrect version of this article appeared online. This article was corrected on September 19, 2016.

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Year:  2016        PMID: 27253423     DOI: 10.1148/radiol.2016151908

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  24 in total

Review 1.  [Diffusion-weighted imaging-diagnostic supplement or alternative to contrast agents in early detection of malignancies?]

Authors:  S Bickelhaupt; C Dreher; F König; K Deike-Hofmann; D Paech; H P Schlemmer; T A Kuder
Journal:  Radiologe       Date:  2019-06       Impact factor: 0.635

Review 2.  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

3.  Nonsuppressing normal thymus on chemical-shift MR imaging and anterior mediastinal lymphoma: differentiation with diffusion-weighted MR imaging by using the apparent diffusion coefficient.

Authors:  Adriano Massimiliano Priola; Sandro Massimo Priola; Dario Gned; Maria Teresa Giraudo; Andrea Veltri
Journal:  Eur Radiol       Date:  2017-11-15       Impact factor: 5.315

4.  Diagnostic accuracy of b800 and b1500 DWI-MRI of the pelvis to detect residual rectal adenocarcinoma: a multi-reader study.

Authors:  David D B Bates; Jennifer S Golia Pernicka; James L Fuqua; Viktoriya Paroder; Iva Petkovska; Junting Zheng; Marinela Capanu; Juliana Schilsky; Marc J Gollub
Journal:  Abdom Radiol (NY)       Date:  2020-02

Review 5.  Comparison of percentage changes in quantitative diffusion parameters for assessing pathological complete response to neoadjuvant therapy in locally advanced rectal cancer: a meta-analysis.

Authors:  Kai Chen; Hua-Long She; Tao Wu; Fang Hu; Tao Li; Liang-Ping Luo
Journal:  Abdom Radiol (NY)       Date:  2020-09-25

Review 6.  Diffusion MRI of cancer: From low to high b-values.

Authors:  Lei Tang; Xiaohong Joe Zhou
Journal:  J Magn Reson Imaging       Date:  2018-10-12       Impact factor: 4.813

7.  Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors.

Authors:  Yanfen Cui; Xiaotang Yang; Xiaosong Du; Zhizheng Zhuo; Lei Xin; Xintao Cheng
Journal:  Eur Radiol       Date:  2017-10-23       Impact factor: 5.315

8.  Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Yanfen Cui; Xiaotang Yang; Zhongqiang Shi; Zhao Yang; Xiaosong Du; Zhikai Zhao; Xintao Cheng
Journal:  Eur Radiol       Date:  2018-08-20       Impact factor: 5.315

9.  Pelvic MRI after induction chemotherapy and before long-course chemoradiation therapy for rectal cancer: What are the imaging findings?

Authors:  Marc J Gollub; Ivana Blazic; David D B Bates; Naomi Campbell; Andrea Knezevic; Mithat Gonen; Patricio Lynn; Martin R Weiser; Julio Garcia-Aguilar; Andreas M Hötker; Andrea Cercek; Leonard Saltz
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

10.  MRI for evaluation of treatment response in rectal cancer.

Authors:  Ivana M Blazic; Naomi M Campbell; Marc J Gollub
Journal:  Br J Radiol       Date:  2016-06-22       Impact factor: 3.039

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