Evidence map›Paper›PMID 41689142›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

Radiomic features of CECT and SUVmax of dual-tracer PET/CT reveal PD-L1 spatial heterogeneity in PDAC.

Sashikanta Swain, Sudipta Mohakud, Srijani Mandal, Siba Narayan Padhi, Bramhadatta Pattnaik, Sunita Gupta, Sipra Rout, Pravash Ranjan Mishra, Kanhaiyalal Agrawal

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Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Sashikanta SwainDepartment of Anatomy, All India Institute of Medical Sciences, Bhubaneswar, India.
Sudipta MohakudDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, India.
Srijani MandalDepartment of Nuclear Medicine, All India Institute of Medical Sciences, Bhubaneswar, India.
Siba Narayan PadhiDepartment of Surgical Gastroenterology, All India Institute of Medical Sciences, Bhubaneswar, India.
Bramhadatta PattnaikDepartment of Surgical Gastroenterology, All India Institute of Medical Sciences, Bhubaneswar, India.
Sunita GuptaDepartment of Surgical Gastroenterology, All India Institute of Medical Sciences, Bhubaneswar, India.
Sipra RoutDepartment of Anatomy, All India Institute of Medical Sciences, Bhubaneswar, India.
Pravash Ranjan MishraDepartment of Anatomy, All India Institute of Medical Sciences, Bhubaneswar, India. anat_pravash@aiimsbhubaneswar.edu.in.
Kanhaiyalal AgrawalDepartment of Nuclear Medicine, All India Institute of Medical Sciences, Bhubaneswar, India. nucmed_kanhaiyalal@aiimsbhubaneswar.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by limited responsiveness to immunotherapy due to spatial heterogeneity of PD-L1 expression. Invasive biopsy-based assessments may fail to capture this heterogeneity. This study aims to evaluate non-invasive imaging biomarkers to predict the expression of PD-L1 in 52 PDAC patients using CECT and F-18 FDG PET/CT and Ga-68 FAPI-04 PET/CT imaging. Intensity histogram and Gray Level Co-occurrence Matrix (GLCM) features were extracted from CECT using IBEX software. PD-L1 expression was validated by immunohistochemistry, RT-PCR, and Western blotting. Correlation between PD-L1 expression, SUVmax of F-18 FDG, and FAPI-04 PET/CT and radiomic CECT features were assessed. PDAC tissues demonstrated multimodal intensity histograms with lower histogram peak height correlated with high PD-L1 expression. A moderate positive correlation was observed between PD-L1 expression and FDG uptake (R

Indexed as

B7-H1 AntigenCarcinoma, Pancreatic DuctalPancreatic NeoplasmsPositron Emission Tomography Computed TomographyAgedAged, 80 and overBiomarkers, TumorFemaleFluorodeoxyglucose F18HumansImmunohistochemistryMaleMiddle AgedRadiomicsRadiopharmaceuticalsTomography, X-Ray ComputedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID41689142
PMCPMC13011674

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