| Presentation | 2023-03-06 Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno, Satoshi Ansai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The homeodomain-only protein homeobox, HOPX, has recently been discovered that associated with the prognoses of non-small cell lung cancer (NSCLC) patients. This study aims to explore radiogenomic signature (RgS) based on computed tomography (CT) images connected with HOPX gene to predict prognosis for NSCLC patients. The best RgS, consisting of three image features, were used for building a stacking model, which exhibited the highest predictive power with an area under receiver operating characteristic curve of 0.705 (accuracy:0.750, specificity:0.765 and sensitivity:0.714) and showed the prognostic power in Kaplan-Meier curves (p-value=0.015) in a test dataset. The HOPX-expression status in lung cancer could be identified by using RgS in the stacking model, which suggested the potential of the RgS for the prediction of the gene expression and prognosis in NSCLC patients based on CT images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | RadiogenomicsHOPXCT imagemachine learninglung cancer |
| Paper # | MI2022-77 |
| Date of Issue | 2023-02-27 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2023/3/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWA SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hidekata Hontani(Nagoya Inst. of Tech.) |
| Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
| Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo) |
| Assistant | Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer |
| Sub Title (in English) | |
| Keyword(1) | RadiogenomicsHOPXCT imagemachine learninglung cancer |
| 1st Author's Name | Yu Jin |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Hidetaka Arimura |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | YunHao Cui |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 4th Author's Name | Takumi Kodama |
| 4th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 5th Author's Name | Shinichi Mizuno |
| 5th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 6th Author's Name | Satoshi Ansai |
| 6th Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2023-03-06 |
| Paper # | MI2022-77 |
| Volume (vol) | vol.122 |
| Number (no) | MI-417 |
| Page | pp.pp.20-23(MI), |
| #Pages | 4 |
| Date of Issue | 2023-02-27 (MI) |