| Title | Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features. |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Authors | Khorrami, MH, Jain P, Bera K, Alilou M, Thawani R, Patil P, Ahmad U, Murthy S, Stephans K, Fu P, Velcheti V, Madabhushi A |
| Journal | Lung cancer (Amsterdam, Netherlands) |
| Volume | 135 |
| Pagination | 1-9 |
| Date Published | 2019 09 |
| ISSN | 1872-8332 |
| Keywords | Adult, Aged, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung, Chemoradiotherapy, Female, Gene Expression Profiling, Humans, Image Processing, Computer-Assisted, Kaplan-Meier Estimate, Lung Neoplasms, Male, Middle Aged, Neoadjuvant Therapy, Neoplasm Metastasis, Neoplasm Staging, Prognosis, Proportional Hazards Models, Radiometry, Tomography, X-Ray Computed, Treatment Outcome |
| Abstract | The use of a neoadjuvant chemoradiation followed by surgery in patients with stage IIIA NSCLC is controversial and the benefit of surgery is limited. There are currently no clinically validated biomarkers to select patients for such an approach. In this study we evaluate computed tomography (CT) derived intratumoral and peritumoral texture and nodule shape features in their ability to predict major pathological response (MPR). MPR being defined as ≤10% of residual viable tumor, assessed at the time of surgery. |
| DOI | 10.1016/j.lungcan.2019.06.020 |
| PDF Link | |
| Alternate Journal | Lung Cancer |
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