Patterns of response and progression to immunotherapy

E Borcoman, A Nandikolla, G Long, S Goel… - American Society of …, 2018 - ascopubs.org
Patterns of response and progression to immunotherapy may differ from those observed with
drugs such as chemotherapy and molecularly targeted agents. Specifically, some patients …

Recent and ongoing research into metastatic osteosarcoma treatments

MA Harris, CJ Hawkins - International Journal of Molecular Sciences, 2022 - mdpi.com
The survival rate for metastatic osteosarcoma has not improved for several decades, since
the introduction and refinement of chemotherapy as a treatment in addition to surgery. Over …

RECIST revisited: a review of validation studies on tumour assessment

P Therasse, EA Eisenhauer, J Verweij - European journal of cancer, 2006 - Elsevier
The response evaluation criteria in solid tumours (RECIST) was developed in the late 1990s
to replace the WHO criteria for response evaluation. The new criteria included important …

Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach

R Rockne, JK Rockhill, M Mrugala… - Physics in Medicine …, 2010 - iopscience.iop.org
Glioblastoma multiforme (GBM) is the most malignant form of primary brain tumors known as
gliomas. They proliferate and invade extensively and yield short life expectancies despite …

Measuring response in solid tumors: comparison of RECIST and WHO response criteria

JO Park, SI Lee, SY Song, K Kim… - Japanese journal of …, 2003 - academic.oup.com
Background: Objective tumor response is a common endpoint in daily practice as well as in
clinical trials to evaluate the efficacy of anti-cancer agents. Traditionally, the standard World …

A mathematical model for brain tumor response to radiation therapy

R Rockne, EC Alvord, JK Rockhill… - Journal of mathematical …, 2009 - Springer
Gliomas are highly invasive primary brain tumors, accounting for nearly 50% of all brain
tumors (Alvord and Shaw in The pathology of the aging human nervous system. Lea & …

Deep machine learning for medical diagnosis, application to lung cancer detection: a review

HT Gayap, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

Radiologic measurements of tumor response to treatment: practical approaches and limitations

C Suzuki, H Jacobsson, T Hatschek, MR Torkzad… - Radiographics, 2008 - pubs.rsna.org
Objective response assessment is important to describe the treatment effect of anticancer
drugs. Standardization by using a “common language” is also important for comparison of …

Treatment of unresectable primary and metastatic liver cancer with yttrium-90 microspheres (TheraSphere®): assessment of hepatic arterial embolization

K Sato, RJ Lewandowski, JT Bui, R Omary… - Cardiovascular and …, 2006 - Springer
Abstract In Canada and Europe, yttrium-90 microspheres (TheraSphere®; MDS Nordion,
Ottawa, Canada) are a primary treatment option for primary and secondary hepatic …

Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma

V Vandecaveye, P Dirix, F De Keyzer, K Op de Beeck… - European …, 2010 - Springer
Objective To evaluate diffusion-weighted (DWI) magnetic resonance imaging (MRI) for
treatment prediction during chemoradiotherapy (CRT) of head and neck squamous cell …