State of the art: response assessment in lung cancer in the era of genomic medicine

M Nishino, H Hatabu, BE Johnson, TC McLoud - Radiology, 2014 - pubs.rsna.org
Tumor response assessment has been a foundation for advances in cancer therapy. Recent
discoveries of effective targeted therapy for specific genomic abnormalities in lung cancer …

Tumor response assessment for precision cancer therapy: response evaluation criteria in solid tumors and beyond

M Nishino - American Society of Clinical Oncology Educational …, 2018 - ascopubs.org
Objective assessment of tumor responses and treatment results has been the basis for the
advancement of cancer therapies, and imaging plays a key role to provide a “common …

A hybrid image enhancement based brain MRI images classification technique

Z Ullah, MU Farooq, SH Lee, D An - Medical hypotheses, 2020 - Elsevier
The classification of brain magnetic resonance imaging (MRI) images into normal and
abnormal classes, has great potential to reduce the radiologists workload. Statistical …

A Biomarker-enriched, Randomized Phase II Trial of Adavosertib (AZD1775) Plus Paclitaxel and Carboplatin for Women with Platinum-sensitive TP53-mutant Ovarian …

AM Oza, M Estevez-Diz, EM Grischke, M Hall… - Clinical Cancer …, 2020 - AACR
Purpose: Preclinical studies show that adavosertib, a WEE1 kinase inhibitor, sensitizes
TP53-mutant cells to chemotherapy. We hypothesized that adavosertib, plus chemotherapy …

Clinical activity of the γ-secretase inhibitor PF-03084014 in adults with desmoid tumors (aggressive fibromatosis)

S Kummar, G O'Sullivan Coyne, KT Do… - Journal of Clinical …, 2017 - ascopubs.org
Purpose Desmoid tumors (aggressive fibromatosis) arise from connective tissue cells or
fibroblasts. In general, they are slow growing and do not metastasize; however, locally …

Volumetric lung nodule segmentation using adaptive roi with multi-view residual learning

M Usman, BD Lee, SS Byon, SH Kim, B Lee… - Scientific Reports, 2020 - nature.com
Accurate quantification of pulmonary nodules can greatly assist the early diagnosis of lung
cancer, enhancing patient survival possibilities. A number of nodule segmentation …

Validity of RECIST version 1.1 for response assessment in metastatic cancer: a prospective, multireader study

CK Kuhl, Y Alparslan, J Schmoee, B Sequeira… - Radiology, 2019 - pubs.rsna.org
Purpose To determine the relationship between target lesion selection with use of Response
Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and classification of therapeutic …

Lung cancer segmentation with transfer learning: usefulness of a pretrained model constructed from an artificial dataset generated using a generative adversarial …

M Nishio, K Fujimoto, H Matsuo… - Frontiers in artificial …, 2021 - frontiersin.org
Purpose: The purpose of this study was to develop and evaluate lung cancer segmentation
with a pretrained model and transfer learning. The pretrained model was constructed from …

DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation

M Usman, YG Shin - Sensors, 2023 - mdpi.com
Measuring pulmonary nodules accurately can help the early diagnosis of lung cancer, which
can increase the survival rate among patients. Numerous techniques for lung nodule …

Cone-beam computed tomography-based delta-radiomics for early response assessment in radiotherapy for locally advanced lung cancer

L Shi, Y Rong, M Daly, B Dyer, S Benedict… - Physics in Medicine …, 2020 - iopscience.iop.org
Cone-beam computed tomography (CBCT) images acquired during radiotherapy may allow
early response assessment. Previous studies have reported inconsistent findings on an …