Refining pathological evaluation of neoadjuvant therapy for adenocarcinoma of the esophagus
, 2013 AIM: To assess tumour regression grade (TRG) and lymph node downstaging to help define patients who benefit from neoadjuvant chemotherapy.METHODS: Two hundred and eighteen consecutive patients with adenocarcinoma of the esophagus or gastro-esophageal ...
Bailey, Ian +10 more
core +1 more source
DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma : a preliminary report [PDF]
, 2018 Purpose: Neoadjuvant chemotherapy is recommended in patients with locally advanced breast cancer. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) enables evaluation of the tumour neovasculature that occurs prior to any volume change, which
Fotedar, Vikas +5 more
core +1 more source
Neoadjuvant therapy for oesophagogastric cancer
British Journal of Surgery, 2004 Abstract Background The prognosis after surgery for oesophagogastric cancer remains poor. Methods This review clarifies current indications for neoadjuvant therapy for oesophageal and gastric cancer.
Hubert J. Stein +3 more
openaire +3 more sources
Neoadjuvant Therapy for Rectal Cancer [PDF]
Diseases of the Colon & Rectum, 2018 A 63-year-old man presents to his primary care doctor with a one-month history of blood in his stools. He is referred for a colonoscopy and found to have a friable mass along the anterior wall just proximal to the second rectal fold. A biopsy confirms moderately-differentiated adenocarcinoma.
Sandy H. Fang, Ira L. Leeds
openaire +3 more sources
Current Status of Immunotherapy in Neoadjuvant Therapy for Gastric Cancer
Zhongliu Fangzhi Yanjiu, 2022 The majority of diagnosed cases of gastric cancer are in the middle and late stages, while less than 10% of patients are diagnosed in the early stages in China.
CHEN Bojin +3 more
doaj +1 more source
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response [PDF]
arXiv, 2021 In neoadjuvant trials on early-stage breast cancer, patients are usually randomized into a control group and a treatment group with an additional target therapy. Early efficacy of the new regimen is assessed via the binary pathological complete response (pCR) and the eventual efficacy is assessed via long-term clinical outcomes such as survival ...
arxiv
Current Oncological Treatment of Patients with Pancreatic Cancer in Germany: Results from a National Survey on behalf of the Arbeitsgemeinschaft Internistische Onkologie and the Chirurgische Arbeitsgemeinschaft Onkologie of the Germany Cancer Society [PDF]
, 2009 Background: No data have previously been available regarding the current treatment of patients with pancreatic cancer (PC) in German hospitals and medical practices.
Boeck, Stefan +6 more
core +1 more source
Neoadjuvant therapy for breast cancer [PDF]
Journal of Surgical Oncology, 2010 AbstractThe past few decades have seen an increase in both the role and the complexity of neoadjuvant therapy for breast cancer. Neoadjuvant therapy was initially described as systemic chemotherapy for inflammatory or locally advanced breast cancer but now entails a combination of chemotherapy, endocrine therapy, and targeted therapy.
Stephen F. Sener +4 more
openaire +3 more sources
Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter [PDF]
, 2019 Monitoring Neoadjuvant chemotherapy (NAC) effects is necessary to capture resistant patients and stop or change treatment. The aim of this study was to assess the tumor response at an early stage, after the first doses of the NAC, based on the variability of the backscattered ultrasound energy, and backscatter statistics. The backscatter statistics has
arxiv +1 more source
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer [PDF]
arXiv, 2021 Characterization of breast parenchyma on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging task owing to the complexity of underlying tissue structures. Current quantitative approaches, including radiomics and deep learning models, do not explicitly capture the complex and subtle parenchymal structures, such as ...
arxiv