| Title |
Haralick’s texture features for the prediction of response to therapy in colorectal cancer: a preliminary study
|
|---|---|
| Published in |
La radiologia medica, November 2017
|
| DOI | 10.1007/s11547-017-0833-8 |
| Pubmed ID | |
| Authors |
Damiano Caruso, Marta Zerunian, Maria Ciolina, Domenico de Santis, Marco Rengo, Mumtaz H. Soomro, Gaetano Giunta, Silvia Conforto, Maurizio Schmid, Emanuele Neri, Andrea Laghi |
| Abstract |
Haralick features Texture analysis is a recent oncologic imaging biomarker used to assess quantitatively the heterogeneity within a tumor. The aim of this study is to evaluate which Haralick's features are the most feasible in predicting tumor response to neoadjuvant chemoradiotherapy (CRT) in colorectal cancer. After MRI and histological assessment, eight patients were enrolled and divided into two groups based on response to neoadjuvant CRT in complete responders (CR) and non-responders (NR). Oblique Axial T2-weighted MRI sequences before CRT were analyzed by two radiologists in consensus drawing a ROI around the tumor. 14 over 192 Haralick's features were extrapolated from normalized gray-level co-occurrence matrix in four different directions. A dedicated statistical analysis was performed to evaluate distribution of the extracted Haralick's features computing mean and standard deviation. Pretreatment MRI examination showed significant value (p < 0.05) of 5 over 14 computed Haralick texture. In particular, the significant features are the following: concerning energy, contrast, correlation, entropy and inverse difference moment. Five Haralick's features showed significant relevance in the prediction of response to therapy in colorectal cancer and might be used as additional imaging biomarker in the oncologic management of colorectal patients. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Professor > Associate Professor | 6 | 15% |
| Student > Master | 5 | 12% |
| Researcher | 3 | 7% |
| Professor | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 24% |
| Engineering | 5 | 12% |
| Physics and Astronomy | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Earth and Planetary Sciences | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |