Evidence map›Paper›PMID 42222415›Full record

ArticleFrontiers in oncology2026

Polar-coordinated contour processing algorithm in optimizing SCART treatment volume.

Junqi Song, Japan Patel, Weihua Qi, Xuebing Shi, Yazhi Wang, Matthew Schmidt, Jun Yang, Dawei Wu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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.

Junqi SongState Key Laboratory of Mechanics and Control for Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
Japan PatelGateway Scripts LLC, Saint Louis, MO, United States.
Weihua QiPrecision Cancer Center, Foshan Fosun Chancheng Hospital, Foshan, China.
Xuebing ShiPrecision Cancer Center, Nanjing Jiangbei Hospital, Nanjing, Jiangsu, China.
Yazhi WangPrecision Cancer Center, Quanzhou Binhai Hospital, Quanzhou, Fujian, China.
Matthew SchmidtFoshan Fosun Chancheng Hospital, Washington University in St Louis School of Medicine, St. Louis, MO, United States.
Jun YangPrecision Cancer Center, Foshan Fosun Chancheng Hospital, Foshan, China.
Dawei WuState Key Laboratory of Mechanics and Control for Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially Fractionated Radiation Therapy (SFRT) has emerged as an appealing approach in radiation oncology due to its outstanding performance in tumor control and ability to preserve normal tissues. With the introduction of Stereotactic Centralized Ablative Radiation Therapy (SCART) as a new approach of SFRT techniques ablating the core of bulky tumor, a notable number of patients have been treated globally. However, SCART Treatment Volumes (STVs) are usually manually generated by physicist based on GTV volume using the contour editing tool of the treatment planning systems (TPS). It is not only tedious but also suboptimal in terms of desired position, shape and volume. To overcome these challenges, our group proposed a creative algorithm based on polar-coordinated calculations principle to help physicist generate the STV. This approach has achieved several improvements, reducing time by approximately 90% and minimizing the need for recontouring. In addition, the STVs demonstrated a 15% increase in volume, as well as an enhanced conformality comparing with manual contour. This method has improved both efficiency and reproducibility of SCART planning with optimal STV.

Indexed as

bulky tumorcontour processing algorithmSCARTscriptSFRT

Identifiers

PMID42222415
PMCPMC13215886

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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.