Results 251 to 260 of about 5,629,721 (306)

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source

Dissecting TGF-β-induced glioblastoma invasion with engineered hyaluronic acid hydrogels. [PDF]

APL Bioeng
Amofa KY, Patterson KM, Ortiz J, Kumar S.   +3 more
europepmc   +1 more source

Publisher Correction: Engineering and physical sciences in oncology: challenges and opportunities. [PDF]

Nat Rev Cancer, 2018
Mitchell MJ, Jain RK, Langer R.
europepmc   +1 more source

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

Engineering and physical sciences in oncology: challenges and opportunities. [PDF]

Nat Rev Cancer, 2017
Mitchell MJ, Jain RK, Langer R.
europepmc   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Three-dimensional matrix stiffness modulates mechanosensitive and phenotypic alterations in oral squamous cell carcinoma spheroids. [PDF]

APL Bioeng
Sheth M, Sharma M, Lehn M, Reza H, Takebe T, Takiar V, Wise-Draper T, Esfandiari L.   +7 more
europepmc   +1 more source

New Horizons in Advocacy Engaged Physical Sciences and Oncology Research. [PDF]

Trends Cancer, 2018
Samson S, Northey JJ, Plaks V, Baas C, Dean I, LaBarge MA, Goga A, Van't Veer LJ, Weaver VM.   +8 more
europepmc   +1 more source

Commissioning evaluation of a deviceless 4DCT scanner

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The utilization of four‐dimensional computed tomography (4DCT) for radiation therapy has not seen major advances to the method of data binning since shortly after inception. Recently there is increased interest in the utilization of an alternative binning method rather than more established techniques.
Hunter Tillery, Cheyann Windsor, Christopher Aguilera   +2 more
wiley   +1 more source

Toward innovative approaches for exploring the mechanically regulated tumor-immune microenvironment. [PDF]

APL Bioeng
Kalli M, Stylianopoulos T.
europepmc   +1 more source