Could perfusion heterogeneity at dynamic contrast-enhanced MRI be used to predict rectal cancer sensitivity to chemoradiotherapy?

A Palmisano, A Esposito, PMV Rancoita, A Di Chiara, P Passoni, N Slim, M Campolongo, L Albarello, C Fiorino, R Rosati, A Del Maschio, F De Cobelli

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Abstract

Aim: To evaluate whether perfusion heterogeneity of rectal cancer prior to chemoradiotherapy (CRT) using histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) quantitative parameters can predict response to treatment. Materials and methods: Twenty-one patients with histologically proven rectal adenocarcinoma were enrolled prospectively. All patients underwent 1.5 T DCE-MRI before CRT. Tumour volumes were drawn on Ktrans and Ve maps, using T2-weighted (W) images as reference, and the following first-order texture parameters of Ve and Ktrans values were extracted: 25th, 50th, 75th percentile, mean, standard deviation, skewness, and kurtosis. After CRT, patients underwent surgery and according with Rödel's tumour regression grade (TRG), they were classified as poor responders “non-GR” (TRG 0–2) and good responders “GR” (TRG 3–4). Differences between GR and non-GR in DCE-MRI first-order texture parameters were evaluated using the Mann–Whitney test, and their role in the prediction of response was investigated using receiver operating characteristic (ROC) curve analysis. Results: Sixteen (76%) patients were classified as GR and five (24%) were non-GR. Skewness and kurtosis of Ve was significantly higher in non-GR (4.886±1.320 and 36.402±24.486, respectively) than in GR patients (1.809±1.280, p=0.003 and 6.268±8.130, p= 0.011). Ve skewness
Original languageEnglish
Pages (from-to)911.e1–911.e7
JournalClinical Radiology
Volume73
Issue number10
DOIs
Publication statusPublished - 2018

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Chemoradiotherapy
Rectal Neoplasms
Perfusion
Magnetic Resonance Imaging
Neoplasms
Tumor Burden
ROC Curve
Adenocarcinoma

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Could perfusion heterogeneity at dynamic contrast-enhanced MRI be used to predict rectal cancer sensitivity to chemoradiotherapy? / Palmisano, A; Esposito, A; Rancoita, PMV; Di Chiara, A; Passoni, P; Slim, N; Campolongo, M; Albarello, L; Fiorino, C; Rosati, R; Del Maschio, A; De Cobelli, F.

In: Clinical Radiology, Vol. 73, No. 10, 2018, p. 911.e1–911.e7.

Research output: Contribution to journalArticle

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abstract = "Aim: To evaluate whether perfusion heterogeneity of rectal cancer prior to chemoradiotherapy (CRT) using histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) quantitative parameters can predict response to treatment. Materials and methods: Twenty-one patients with histologically proven rectal adenocarcinoma were enrolled prospectively. All patients underwent 1.5 T DCE-MRI before CRT. Tumour volumes were drawn on Ktrans and Ve maps, using T2-weighted (W) images as reference, and the following first-order texture parameters of Ve and Ktrans values were extracted: 25th, 50th, 75th percentile, mean, standard deviation, skewness, and kurtosis. After CRT, patients underwent surgery and according with R{\"o}del's tumour regression grade (TRG), they were classified as poor responders “non-GR” (TRG 0–2) and good responders “GR” (TRG 3–4). Differences between GR and non-GR in DCE-MRI first-order texture parameters were evaluated using the Mann–Whitney test, and their role in the prediction of response was investigated using receiver operating characteristic (ROC) curve analysis. Results: Sixteen (76{\%}) patients were classified as GR and five (24{\%}) were non-GR. Skewness and kurtosis of Ve was significantly higher in non-GR (4.886±1.320 and 36.402±24.486, respectively) than in GR patients (1.809±1.280, p=0.003 and 6.268±8.130, p= 0.011). Ve skewness",
author = "A Palmisano and A Esposito and PMV Rancoita and {Di Chiara}, A and P Passoni and N Slim and M Campolongo and L Albarello and C Fiorino and R Rosati and {Del Maschio}, A and {De Cobelli}, F",
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T1 - Could perfusion heterogeneity at dynamic contrast-enhanced MRI be used to predict rectal cancer sensitivity to chemoradiotherapy?

AU - Palmisano, A

AU - Esposito, A

AU - Rancoita, PMV

AU - Di Chiara, A

AU - Passoni, P

AU - Slim, N

AU - Campolongo, M

AU - Albarello, L

AU - Fiorino, C

AU - Rosati, R

AU - Del Maschio, A

AU - De Cobelli, F

PY - 2018

Y1 - 2018

N2 - Aim: To evaluate whether perfusion heterogeneity of rectal cancer prior to chemoradiotherapy (CRT) using histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) quantitative parameters can predict response to treatment. Materials and methods: Twenty-one patients with histologically proven rectal adenocarcinoma were enrolled prospectively. All patients underwent 1.5 T DCE-MRI before CRT. Tumour volumes were drawn on Ktrans and Ve maps, using T2-weighted (W) images as reference, and the following first-order texture parameters of Ve and Ktrans values were extracted: 25th, 50th, 75th percentile, mean, standard deviation, skewness, and kurtosis. After CRT, patients underwent surgery and according with Rödel's tumour regression grade (TRG), they were classified as poor responders “non-GR” (TRG 0–2) and good responders “GR” (TRG 3–4). Differences between GR and non-GR in DCE-MRI first-order texture parameters were evaluated using the Mann–Whitney test, and their role in the prediction of response was investigated using receiver operating characteristic (ROC) curve analysis. Results: Sixteen (76%) patients were classified as GR and five (24%) were non-GR. Skewness and kurtosis of Ve was significantly higher in non-GR (4.886±1.320 and 36.402±24.486, respectively) than in GR patients (1.809±1.280, p=0.003 and 6.268±8.130, p= 0.011). Ve skewness

AB - Aim: To evaluate whether perfusion heterogeneity of rectal cancer prior to chemoradiotherapy (CRT) using histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) quantitative parameters can predict response to treatment. Materials and methods: Twenty-one patients with histologically proven rectal adenocarcinoma were enrolled prospectively. All patients underwent 1.5 T DCE-MRI before CRT. Tumour volumes were drawn on Ktrans and Ve maps, using T2-weighted (W) images as reference, and the following first-order texture parameters of Ve and Ktrans values were extracted: 25th, 50th, 75th percentile, mean, standard deviation, skewness, and kurtosis. After CRT, patients underwent surgery and according with Rödel's tumour regression grade (TRG), they were classified as poor responders “non-GR” (TRG 0–2) and good responders “GR” (TRG 3–4). Differences between GR and non-GR in DCE-MRI first-order texture parameters were evaluated using the Mann–Whitney test, and their role in the prediction of response was investigated using receiver operating characteristic (ROC) curve analysis. Results: Sixteen (76%) patients were classified as GR and five (24%) were non-GR. Skewness and kurtosis of Ve was significantly higher in non-GR (4.886±1.320 and 36.402±24.486, respectively) than in GR patients (1.809±1.280, p=0.003 and 6.268±8.130, p= 0.011). Ve skewness

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DO - 10.1016/j.crad.2018.06.007

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JO - Clinical Radiology

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SN - 0009-9260

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