Total-Body PET/CT Metabolic Response in Esophageal Squamous Cell Carcinoma.

Esophageal squamous cell carcinoma (ESCC) exhibits heterogeneous responses to neoadjuvant therapy, necessitating early and accurate assessment. [18F]fluorodeoxyglucose ([18F]FDG) PET/CT enables quantitative assessment of tumor glucose metabolism, correlating with pathological remission and long-term outcomes, while [18F] or [68Ga]Ga-labeled fibroblast activation protein inhibitor (FAPI) PET/CT evaluates stromal metabolism, providing complementary information. Total-body PET/CT (uEXPLORER, United Imaging Healthcare Co.Ltd., Shanghai, China) with 194-cm long-axial field-of-view (LAFOV) offers long axial coverage, up to 68-fold higher sensitivity than conventional systems. It enables low-dose, rapid imaging, dynamic whole-body parametric imaging, and improves detection of small, low-uptake lesions as well as metastatic lesions in the distal upper or lower extremities in a single bed position. Delayed and dual-time imaging protocols, alone and/or combined with deep learning-based synthetic CT, further improve lesion detectability while minimizing radiation exposure. This narrative review summarizes evidence from conventional PET/CT studies, highlights the technical and clinical advantages of total-body PET/CT, and discusses its feasibility, quantitative capabilities, and potential to guide response-adapted management in ESCC based on our institutional experience.

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-12-04
DOI
https://doi.org/10.48620/92887
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Total-Body PET/CT Metabolic Response in Esophageal Squamous Cell Carcinoma.

Open Access CRIS of the University of Bern
Esophageal Cancer Research and Treatment
article

Total-Body PET/CT Metabolic Response in Esophageal Squamous Cell Carcinoma.

article en

Abstract

Esophageal squamous cell carcinoma (ESCC) exhibits heterogeneous responses to neoadjuvant therapy, necessitating early and accurate assessment. [18F]fluorodeoxyglucose ([18F]FDG) PET/CT enables quantitative assessment of tumor glucose metabolism, correlating with pathological remission and long-term outcomes, while [18F] or [68Ga]Ga-labeled fibroblast activation protein inhibitor (FAPI) PET/CT evaluates stromal metabolism, providing complementary information. Total-body PET/CT (uEXPLORER, United Imaging Healthcare Co.Ltd., Shanghai, China) with 194-cm long-axial field-of-view (LAFOV) offers long axial coverage, up to 68-fold higher sensitivity than conventional systems. It enables low-dose, rapid imaging, dynamic whole-body parametric imaging, and improves detection of small, low-uptake lesions as well as metastatic lesions in the distal upper or lower extremities in a single bed position. Delayed and dual-time imaging protocols, alone and/or combined with deep learning-based synthetic CT, further improve lesion detectability while minimizing radiation exposure. This narrative review summarizes evidence from conventional PET/CT studies, highlights the technical and clinical advantages of total-body PET/CT, and discusses its feasibility, quantitative capabilities, and potential to guide response-adapted management in ESCC based on our institutional experience.

Open Access CRIS of the University of Bern
Openalex Percentile: Top 30%
Esophageal Cancer Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Total-Body PET/CT Metabolic Response in Esophageal Squamous Cell Carcinoma. · Open Access CRIS of the University of Bern (2025) | TGRS Research Map | TGRS