Evidence map›Paper›PMID 41556044›Full record

ReviewLife medicine2026

Dual-modality theranostics probes: sintegrative strategies for precision management of oncologic malignancies.

Xilin Jing, Yutao Li, Yijing Zhang, Yuqi Wang, Xiaohua Jia, Xing Yang, Kezhong Chen

Abstract readReview
In one paragraph

Review in Life medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xilin JingDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.
Yutao LiDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.
Yijing ZhangDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Yuqi WangDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Xiaohua JiaKey Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Xing YangDepartment of Nuclear Medicine, Peking University People's Hospital, Beijing 100044, China.
Kezhong ChenDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.ORCID https://orcid.org/0000-0002-9723-6153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains a formidable global public health challenge. Recent advancements in immunotherapy and targeted therapies have revolutionized diagnostic and therapeutic paradigms. Within this context, theranostics-an emerging field integrating molecular imaging with therapeutic interventions-has shown promise in achieving precision oncology. Central to theranostic platforms are dual-modality probes utilizing positron emission tomography, fluorescence, and magnetic resonance imaging technologies, which offer synergistic advantages such as complementary imaging modalities, intraoperative guidance, and real-time drug delivery monitoring. Despite growing research interest and early clinical trials, critical challenges persist in biosafety, metabolic stability, and imaging resolution. Structural optimization of probes and modality-specific selection based on cancer subtypes may address these limitations. This review systematically evaluates the design principles and clinical applications of dual-modality probes and proposes actionable strategies to enhance their translational potential.

Indexed as

dual-modality probesmolecular imagingprecision oncologytheranostics

Identifiers

PMID41556044
PMCPMC12812221

What Socratic 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 Socratic graph.