Evidence map›Paper›PMID 39410041›Full record

ReviewCancers2024

Personalized Brachytherapy: Applications and Future Directions.

Piyush Pathak, Justin J Thomas, Arjit Baghwala, Chengfeng Li, Bin S Teh, Edward B Butler, Andrew M Farach

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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.

Piyush PathakDepartment of Radiation Oncology, Baylor College of Medicine, Houston, TX 77030, USA.
Justin J ThomasDepartment of Radiation Oncology, Baylor College of Medicine, Houston, TX 77030, USA.
Arjit BaghwalaDepartment of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.ORCID 0009-0007-4680-0926
Chengfeng LiDepartment of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.ORCID 0009-0000-4810-435X
Bin S TehDepartment of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.
Edward B ButlerDepartment of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.
Andrew M FarachDepartment of Radiation Oncology, Houston Methodist Hospital, Houston, TX 77030, USA.ORCID 0000-0002-9982-4557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brachytherapy offers a highly conformal and adaptive approach to radiation therapy for various oncologic conditions. This review explores the rationale, applications, technological advances, and future directions of personalized brachytherapy. Integration of advanced imaging techniques, 3D-printed applicators, and artificial intelligence are rapidly enhancing brachytherapy delivery and efficiency, while genomic tests and molecular biomarkers are refining patient and dose selection. Emerging research on combining brachytherapy with immunotherapy offers unique synergistic potential, and technologies such as intensity-modulated and shielded brachytherapy applicators present novel opportunities to further optimize dose distributions. Despite these promising advances, the field faces challenges including a need to train more practitioners and develop new approaches to treating a broader range of malignancies. As personalized medicine evolves, brachytherapy's ability to deliver highly targeted, individualized treatments positions it as a critical component in future cancer care.

Indexed as

3D-printed applicatorsartificial intelligence in radiation oncologybrachytherapy–immunotherapy combinationgenomic biomarkersimage-guided adaptive radiotherapyintensity-modulated brachytherapypersonalized brachytherapyprecision oncologyshielded brachytherapytreatment planning optimization

Identifiers

PMID39410041
PMCPMC11476498

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.