[18F]RCCB6 PET/CT in Diagnosing Clear Cell Renal Cell Carcinomas: A Prospective Comparison Study with [18F]FDG PET/CT and Conventional Imaging

This single-center prospective phase II trial evaluated [18F]RCCB6 PET/CT, a CD70-targeting radiotracer, for detecting metastases in clear cell renal cell carcinoma (ccRCC). After screening 291 patients, 150 patients with histologically confirmed ccRCC or suspected kidney cancer underwent imaging. Among 1,221 assessable extra-renal lesions, [18F]RCCB6 PET/CT achieved 94.2% sensitivity, 80.0% specificity, 93.1% accuracy, and 98.3% positive predictive value. In a head-to-head comparison of 99 patients with 683 lesions, [18F]RCCB6 significantly outperformed [18F]FDG PET/CT, with higher diagnostic sensitivity (90.5% vs. 41.1%) and specificity (81.4% vs. 24.3%; both P < 0.001). Compared with conventional imaging across 748 lesions, [18F]RCCB6 PET/CT also demonstrated superior sensitivity (90.8% vs. 75.1%) and specificity (81.6% vs. 56.6%). [18F]RCCB6 uptake (SUVmax) strongly correlated with CD70 expression (r = 0.843, P < 0.001). Moreover, the imaging findings changed clinical management in 58.7% of patients. [18F]RCCB6 PET/CT is a highly sensitive imaging modality for diagnosing ccRCC metastases and informing clinical decision-making.

Authors

Institutions

Publication Details

Journal
Cancer Discovery
Published
2026-05-11
DOI
https://doi.org/10.1158/2159-8290.cd-26-0016
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[18F]RCCB6 PET/CT in Diagnosing Clear Cell Renal Cell Carcinomas: A Prospective Comparison Study with [18F]FDG PET/CT and Conventional Imaging

Lianghua Li, Shuxian An, Fabrizia Gelardi, J S Liu et al.
Cancer Discovery
Renal cell carcinoma treatment
article

[18F]RCCB6 PET/CT in Diagnosing Clear Cell Renal Cell Carcinomas: A Prospective Comparison Study with [18F]FDG PET/CT and Conventional Imaging

Lianghua Li, Shuxian An, Fabrizia Gelardi, J S Liu, Zhoumi Hu, Gan Huang, J ian-jun Zhang, Arturo Chiti, Liangrong Wan, Wenzhi Jia, Jiwei Huang, Gang Huang, Qianyun Wu, Wei Zhai, Weijun Wei, You Zhang, Min Cao, Wen Kong, Cheng Wang, Dongsheng Xu
article en

Abstract

This single-center prospective phase II trial evaluated [18F]RCCB6 PET/CT, a CD70-targeting radiotracer, for detecting metastases in clear cell renal cell carcinoma (ccRCC). After screening 291 patients, 150 patients with histologically confirmed ccRCC or suspected kidney cancer underwent imaging. Among 1,221 assessable extra-renal lesions, [18F]RCCB6 PET/CT achieved 94.2% sensitivity, 80.0% specificity, 93.1% accuracy, and 98.3% positive predictive value. In a head-to-head comparison of 99 patients with 683 lesions, [18F]RCCB6 significantly outperformed [18F]FDG PET/CT, with higher diagnostic sensitivity (90.5% vs. 41.1%) and specificity (81.4% vs. 24.3%; both P < 0.001). Compared with conventional imaging across 748 lesions, [18F]RCCB6 PET/CT also demonstrated superior sensitivity (90.8% vs. 75.1%) and specificity (81.6% vs. 56.6%). [18F]RCCB6 uptake (SUVmax) strongly correlated with CD70 expression (r = 0.843, P < 0.001). Moreover, the imaging findings changed clinical management in 58.7% of patients. [18F]RCCB6 PET/CT is a highly sensitive imaging modality for diagnosing ccRCC metastases and informing clinical decision-making.

Cancer Discovery
Vita-Salute San Raffaele University (IT), Shanghai Jiao Tong University (CN), Renji Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Renal cell carcinoma 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.