Results 131 to 140 of about 93,945 (299)

Perioperative chemotherapy or preoperative chemoradiotherapy in esophageal cancer

open access: yes
Höppner J, Brunner T, Schmoor C, et al. Perioperative Chemotherapy or Preoperative Chemoradiotherapy in Esophageal Cancer. New England Journal of Medicine.
Gerdes, Berthold   +32 more
core   +1 more source

The Prognostic Value of EDRIC and Its Association With Radiation‐Induced Lymphopenia in Patients With Esophageal Cancer Undergoing Radical Radiotherapy: A Single‐Center Chinese Study

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to evaluate the predictive value of the estimated dose of radiation to immune cells (EDRIC) in patients with esophageal cancer receiving radical radiotherapy. We retrospectively reviewed the data of patients with esophageal cancer who underwent definitive radiotherapy at our institution.
Yue Ke   +6 more
wiley   +1 more source

Induction chemotherapy followed by standard chemoradiotherapy versus standard chemoradiotherapy alone in patients with locally advanced cervical cancer (GCIG INTERLACE): an international, multicentre, randomised phase 3 trial [PDF]

open access: yes
BACKGROUND: Locally advanced cervical cancer is treated with chemoradiotherapy (standard of care), but many patients still relapse and die from metastatic disease.
Persic, Mojca   +31 more
core   +1 more source

Surgical outcome following Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer. [PDF]

open access: yes, 2008
INTRODUCTION : The potential for curative resection is the most important component of the multimodality management of rectal cancer. In locally advanced rectal cancer lymph node involvement and positive resection margins are common, leading to local ...
Yamini Chitra, V
core  

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang   +2 more
wiley   +1 more source

Microbiota in cancer chemoradiotherapy resistance [PDF]

open access: yesClinical and Translational Medicine, 2020
He, Yan   +3 more
openaire   +2 more sources

The Choice Between Definitive Radiotherapy and Surgery for Cervical Cancer With Different Histology in Current Clinical Practice

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT For cervical cancer, the choice between definitive radiotherapy (RT) and surgery has long been a topic of debate. Clinical factors, including histology and tumor burden, have been examined in prior studies. Given recent advances in RT and the incorporation of concurrent chemotherapy, our study seeks to assess the optimal treatment modality for
Yu‐Lun Wu   +7 more
wiley   +1 more source

Chemoradiotherapy for inoperable lung cancer patients using singlet oxygen therapy

open access: yes, 2001
Singlet oxygen therapy (SOT) based оn the principle of photoactivation of atmospheric air was used during combined chemoradiotherapy for inoperable lung cancer patients.
Орел, В. Е.   +1 more
core  

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

Spatially Aware Acquisition‐Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Neural controlled differential equations (NCDEs) recently emerged as a robust deep learning approach for quantitative MRI parameter estimation. NCDEs offer flexibility to changes in acquisition protocols by modeling the signal evolution dynamics. However, NCDE implementations operate on a voxel‐by‐voxel basis and cannot exploit spatial
Daan Kuppens   +5 more
wiley   +1 more source

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