Evidence map›Paper›PMID 40462779›Full record

ArticleCureus2025

Training and Validating a Knowledge-Based Model for Intensity Modulated Proton Therapy of Prostate and Pelvic Lymph Nodes.

Parker Anderson, Yihang Xu, Ricky Bui, Jonathan Cyriac, Robert Kaderka, Elizabeth Bossart, Nathan Hanson, Nesrin Dogan

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Parker AndersonRadiation Oncology, University of Miami Miller School of Medicine, Miami, USA.
Yihang XuRadiation Oncology, University of Miami, Miami, USA.
Ricky BuiRadiation Oncology, University of Miami Miller School of Medicine, Miami, USA.
Jonathan CyriacRadiation Oncology, University of Miami Miller School of Medicine, Miami, USA.
Robert KaderkaRadiation Oncology, University of Miami, Miami, USA.
Elizabeth BossartRadiation Oncology, University of Miami Sylvester Comprehensive Cancer Center, Miami, USA.
Nathan HansonRadiation Oncology, University of Miami Miller School of Medicine, Miami, USA.
Nesrin DoganRadiation Oncology, University of Miami Miller School of Medicine, Miami, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction In this work, we aimed to create and assess the performance of a knowledge-based planning (KBP) model for optimizing intensity-modulated proton therapy (IMPT) in the treatment of prostate cancer involving pelvic lymph nodes (LNs). Materials and methods Fifty patients previously treated with IMPT to the prostate/prostate bed, including LNs and optional gross tumor volume (GTV) boost, were used for the training of a KBP model. The model was iteratively refined by replanning a subset of 20 of these patients. For validation, 20 patients not included in the model training set were used. Treatment plans were optimized using the objective list predicted by the model. Plan quality was evaluated using dosimetric metrics for both target and organs at risk (OARs), and the results were compared with manually generated plans using paired t-tests (p < 0.05). Results Eighteen out of 20 plans generated by the model were deemed to be clinically acceptable without the need for additional adjustments. The plans produced by the model demonstrated comparable robustness in clinical target volume (CTV) coverage. Significant improvements in OAR sparing were achieved for the rectum (V40Gy = -4.26 ± 3.00%), bladder (V40Gy = -6.36 ± 4.34%), and penile bulb (Dmean = -1.61 ± 9.76 Gy) when using the KBP model, compared to the manual plans. Other significant differences include slightly higher doses to the cauda equina (D0.03cc = 3.44 ± 6.09 Gy) and the left femur (D0.03cc = 2.50 ± 3.69 Gy) when compared to manual plans. No statistically significant differences were found for other OARs. Conclusions This study demonstrated that the KBP model produced plans comparable to manually generated clinical plans, and these plans are clinically acceptable. The iterative tuning process improved the quality of plans generated by the KBP model.

Indexed as

automated treatment planningintensity modulated proton therapyknowledge based planningpelvic lymph nodesprostate cancer

Identifiers

PMID40462779
PMCPMC12133206

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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.