Evidence map›Paper›PMID 33126715›Full record

ReviewJournal of clinical medicine2020

Impact of PET/CT for Assessing Response to Immunotherapy-A Clinical Perspective.

David Lang, Gerald Wahl, Nikolaus Poier, Sebastian Graf, David Kiesl, Bernd Lamprecht, Michael Gabriel

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Heterogeneous treatment response in metastatic breast cancer: discordance between FDG-PET and CT classification.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

David LangJohannes Kepler University Hospital Linz, Department of Pulmonology Altenberger Strasse 69, Kepler University Hospital GmbH, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Gerald WahlDepartment of Dermatology and Venerology, Johannes Kepler University Hospital Linz, Kepler University Hospital GmbH, Altenberger Strasse 69, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Nikolaus PoierDepartment of Otorhinolaryngology, Head and Neck Surgery, Johannes Kepler University Hospital Linz, Kepler University Hospital GmbH, Altenberger Strasse 69, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Sebastian GrafDepartment of Urology and Andrology, Johannes Kepler University Hospital Linz, Kepler University Hospital GmbH, Altenberger Strasse 69, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
David KieslJohannes Kepler University Hospital Linz, Kepler University Hospital GmbH, University Clinic of Hematology and Internal Oncology, Altenberger Strasse 69, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Bernd LamprechtJohannes Kepler University Hospital Linz, Department of Pulmonology Altenberger Strasse 69, Kepler University Hospital GmbH, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Michael GabrielInstitute of Nuclear Medicine and Endocrinology, Johannes Kepler University Hospital Linz, Kepler University Hospital GmbH, Altenberger Strasse 69, 4040 Linz and Krankenhausstrasse 9, 4020 Linz, Austria.
Kepler Universitätsklinikum · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy using immune-checkpoint inhibitors (ICI) has revolutionized the therapeutic landscape of various malignancies like non-small-cell lung cancer or melanoma. Pre-therapy response prediction and assessment during ICI treatment is challenging due to the lack of reliable biomarkers and the possibility of atypical radiological response patterns. Positron emission tomography/computed tomography (PET/CT) enables the visualization and quantification of metabolic lesion activity additional to conventional CT imaging. Various biomarkers derived from PET/CT have been reported as predictors for response to ICI and may aid to overcome the challenges clinicians currently face in the management of ICI-treated patients. In this narrative review, experts in nuclear medicine, thoracic oncology, dermatooncology, hemato- and internal oncology, urological and head/neck tumors performed literature reviews in their respective field and a joint discussion on the use of PET/CT in the context of ICI treatment. The aims were to give a clinical overview on present standards and evidence, to identify current challenges and fields of research and to enable an outlook to future developments and their possible implications. Multiple promising studies concerning ICI response assessment or prediction using biomarkers derived from PET/CT alone or as composite biomarkers have been identified for various malignancies and disease stages. Of interest, additional major incentives in the field may evolve from novel tracers specifically targeting immune-checkpoint molecules which could allow not only response assessment and prognosis, but also visualization of histological tumor cell properties like programmed death-ligand (PD-L1) expression in vivo. Despite the broad range of existing literature on PET/CT-derived biomarkers in ICI therapy, implications for daily clinical practice remain elusive. High-quality prospective data are urgently warranted to determine whether patients benefit from the application of PET/CT in terms of prognosis. At the moment, the lack of such evidence as well as the absence of standardized imaging methods and biomarkers still precludes PET/CT imaging to be included in the relevant clinical practice guidelines.

Indexed as

CAR-Thead and neck cancerimmune checkpoint inhibitorimmunotherapy-related adverse eventlymphomamelanomanon-small cell lung cancerpseudoprogressionrenal cancertracer

Identifiers

PMID33126715
PMCPMC7694130
OpenAlexW3095454157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.