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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, P M V; Di Chiara, A; Passoni, P; Slim, N; Campolongo, M; Albarello, L; Fiorino, C; Rosati, R; Del Maschio, A; De Cobelli, F.
Afiliação
  • Palmisano A; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy. Electronic address: palmisano.anna@hsr.it.
  • Esposito A; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Rancoita PMV; University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy.
  • Di Chiara A; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Passoni P; Unit of Radiotherapy, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Slim N; Unit of Radiotherapy, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Campolongo M; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Albarello L; Department of Pathology, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Fiorino C; Medical Physics, San Raffaele Hospital, Milan, Italy.
  • Rosati R; Vita-Salute San Raffaele University, Milan, Italy; Department of Gastrointestinal Surgery, San Raffaele Hospital, Milan, Italy.
  • Del Maschio A; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • De Cobelli F; Unit of Clinical Research in Radiology, Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
Clin Radiol ; 73(10): 911.e1-911.e7, 2018 10.
Article em En | MEDLINE | ID: mdl-30029837
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 <3.635 was able to predict GR with an area under the ROC curve (AUC) of 0.988, sensitivity 93.8%, specificity 80%, and accuracy 90.5%. Ve kurtosis <21.095 was able to predict response with an AUC of 0.963, sensitivity 93.8%, specificity 80%, and accuracy 90.5%. Other parameters were not different between groups or predictors of response.

CONCLUSION:

Ve skewness and kurtosis seem to be promising in the prediction of response to CRT in rectal cancer patients.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Retais Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Retais Idioma: En Ano de publicação: 2018 Tipo de documento: Article