Esophageal cancer is known as one of the malignant cancers with poor prognosis. To improve the outcome, combined multimodality treatment is attempted. On the other hand, advances in genomics and other "omic" technologies are paving way to the patient-oriented treatment called "personalized" or "precision" medicine. Recent advancements of imaging techniques such as functional imaging make it possible to use imaging features as biomarker for diagnosis, treatment response, and prognosis in cancer treatment. In this review, we will discuss how we can use imaging derived tumor features as biomarker for the treatment of esophageal cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603816PMC
http://dx.doi.org/10.3748/wjg.v25.i24.3021DOI Listing

Publication Analysis

Top Keywords

esophageal cancer
12
treatment esophageal
8
features biomarker
8
treatment
6
imaging
5
imaging biomarkers
4
biomarkers treatment
4
cancer
4
cancer esophageal
4
cancer malignant
4

Similar Publications

Purpose: In the care for oesophageal cancer, symptom assessment was mainly carried out from the perspective of the total score using scales, which ignored individual differences in symptom experience among patients. To provide personalized symptom management, individual differences among patients with oesophageal cancer warranted further investigation. The objective was to identify the different symptom profiles of patients after oesophagectomy and examine the risk factors affecting the symptom profiles.

View Article and Find Full Text PDF

Purpose: Patients with chronic kidney disease (CKD) and end-stage renal disease (ESRD) have been noted to face increased cancer incidence. Yet, the impact of concomitant renal dysfunction on acute outcomes following elective surgery for cancer remains to be elucidated.

Methods: All adult hospitalizations entailing elective resection for lung, esophageal, gastric, pancreatic, hepatic, or colon cancer were identified in the 2016-2020 National Inpatient Sample.

View Article and Find Full Text PDF

Introduction: The performance of a high quality esophagogastroduodenoscopy (EGD) is dependent on the mucosal cleanliness. Recently, the Polprep: Effective Assessment of Cleanliness in EGD (PEACE) scale was created to assess the degree of mucosal cleanliness during EGD. The aim of this study was to validate this scoring system in a cohort of international endoscopists.

View Article and Find Full Text PDF

Background: Endoscopic treatment for second primary malignancies after esophagectomy has been increasingly performed; however, evidence regarding the outcomes of endoscopic submucosal dissection (ESD) for superficial cancer of the remnant esophagus after esophagectomy (SCREE) is limited.

Methods: We retrospectively extracted cases of ESD for SCREE from our institutional database, which included 739 consecutive esophageal ESD procedures performed between January 2009 and September 2023. Information on prior treatment, clinical features of the lesions, and outcomes was evaluated.

View Article and Find Full Text PDF

Precision Imaging for Early Detection of Esophageal Cancer.

Bioengineering (Basel)

January 2025

Department of Mechanical Engineering, National Chung Cheng University, 168, University Rd., Min Hsiung, Chiayi 62102, Taiwan.

Early detection of early-stage esophageal cancer (ECA) is crucial for timely intervention and improved treatment outcomes. Hyperspectral imaging (HSI) and artificial intelligence (AI) technologies offer promising avenues for enhancing diagnostic accuracy in this context. This study utilized a dataset comprising 3984 white light images (WLIs) and 3666 narrow-band images (NBIs).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!