TY  - JOUR
AB  - Purpose: Soft tissue sarcomas (STS) represent a heterogeneous group of diseases, and selection of individualized treatments remains a challenge. The goal of this study was to determine whether radiomic features extracted from magnetic resonance (MR) images are independently associated with overall survival (OS) in STS. Methods and Materials: This study analyzed 2 independent cohorts of adult patients with stage II-III STS treated at center 1 (N = 165) and center 2 (N = 61). Thirty radiomic features were extracted from pretreatment T1-weighted contrast-enhanced MR images. Prognostic models for OS were derived on the center 1 cohort and validated on the center 2 cohort. Clinical-only (C), radiomics-only (R), and clinical and radiomics (C+R) penalized Cox models were constructed. Model performance was assessed using Harrell's concordance index. Results: In the R model, tumor volume (hazard ratio [HR], 1.5) and 4 texture features (HR, 1.1-1.5) were selected. In the C+R model, both age (HR, 1.4) and grade (HR, 1.7) were selected along with 5 radiomic features. The adjusted c-indices of the 3 models ranged from 0.68 (C) to 0.74 (C+R) in the derivation cohort and 0.68 (R) to 0.78 (C+R) in the validation cohort. The radiomic features were independently associated with OS in the validation cohort after accounting for age and grade (HR, 2.4; P = .009). Conclusions: This study found that radiomic features extracted from MR images are independently associated with OS when accounting for age and tumor grade. The overall predictive performance of 3-year OS using a model based on clinical and radiomic features was replicated in an independent cohort. Optimal models using clinical and radiomic features could improve personalized selection of therapy in patients with STS.
AU  - Spraker, M.B.*
AU  - Wootton, L.S.*
AU  - Hippe, D.S.*
AU  - Ball, K.C.*
AU  - Peeken, J.C.
AU  - Macomber, M.W.*
AU  - Chapman, T.R.*
AU  - Hoff, M.N.*
AU  - Kim, E.Y.*
AU  - Pollack, S.M.*
AU  - Combs, S.E.*
AU  - Nyflot, M.J.*
C1  - 55889
C2  - 46638
SP  - 413-421
TI  - MRI radiomic features are independently associated with overall survival in soft tissue sarcoma.
JO  - Adv. Rad. Onco.
VL  - 4
IS  - 2
PY  - 2019
SN  - 2452-1094
ER  - 

TY  - JOUR
AB  - Several reports have shown that acupuncture is an effective method of complementary medicine; however, only a few of these reports have focused on oncological patients treated with radiation therapy. Most of these studies discuss a benefit of acupuncture for side-effect reduction; however, not all could demonstrate significant improvements. Thus, innovative trial designs are necessary to confirm that acupuncture can alleviate side effects related to radiation therapy. In the present manuscript, we perform a broad review and discuss pitfalls and limitations of acupuncture in parallel with standard radiation therapy, which lead the way to novel treatment concepts.
AU  - Asadpour, R.*
AU  - Meng, Z.*
AU  - Kessel, K.A.
AU  - Combs, S.E.
C1  - 49852
C2  - 40990
SP  - 344-350
TI  - Use of acupuncture to alleviate side effects in radiation oncology: Current evidence and future directions.
JO  - Adv. Rad. Onco.
VL  - 1
IS  - 4
PY  - 2016
SN  - 2452-1094
ER  -