Evidence map›Paper›PMID 41046254›Full record

ArticleBMC cancer2025

Variations in radiomic features of the femoral head and neck during helical tomotherapy in prostate and rectal cancer patients.

Maryam Gholizade, Elmira Yazdani, Fatemeh Sadat Hosseini-Baharanchi, Alireza Nikoofar, Golbarg Esmaili, Foad Goli-Ahmadabad, Seied Rabi Mahdavi, Malakeh Malekzadeh

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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. Review
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.

Maryam GholizadeDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Hemat Highway, 14535, Tehran, Iran.
Elmira YazdaniDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Hemat Highway, 14535, Tehran, Iran.
Fatemeh Sadat Hosseini-BaharanchiDepartment of Biostatistics, School of Public Health, Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.
Alireza NikoofarDepartment of Radiation Oncology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Golbarg EsmailiRadiotherapy Department, Pars Hospital, Tehran, Iran.
Foad Goli-AhmadabadDepartment of Medical Physics, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Seied Rabi MahdaviDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Hemat Highway, 14535, Tehran, Iran. srmahdavi@hotmail.com.ORCID http://orcid.org/0000-0003-1973-2140
Malakeh MalekzadehDepartment of Medical Physics, School of Medicine, Iran University of Medical Sciences, Hemat Highway, 14535, Tehran, Iran. malekzadeh.mlk@gmail.com.

Funding

Iran University of Medical Sciences 24666
6 · The paper itself

Abstract

backgroundThis study introduces a novel approach for screening bone alterations in the femoral head and neck (H&N) of prostate cancer (PCa) and rectal cancer (RCa) patients during helical tomotherapy (HT) using megavoltage computed tomography (MVCT) images. The goal is to identify robust radiomic features (RFs) with the highest percentage changes during treatment and examine their correlation with the administered dose.

methodsReproducible RFs were identified through a test-retest analysis using a cheese phantom. This study involved 20 male patients (10 PCa, 10 RCa). The left and right femoral H&N regions were segmented on MVCT images from the initial, middle, and final HT sessions. Absolute RF values and relative percentage changes were analyzed using repeated measures analysis of variance (ANOVA). The Pearson correlation coefficient with Benjamini-Hochberg adjustment (q < 0.05) was used to evaluate the relationship between altered RFs and the dose (Gy).

resultsThe femoral H&N had the highest relative percentage changes (RPCs) for intensity-histogram (IH) and intensity-based (IB) RFs, respectively, with texture-based RFs providing insights into radiotherapy-induced changes. Strong correlations (r ~ -0.7) were observed between changes in H&N RFs and dose (Gy) in PCa. For RCa, IB features, including the IB_Coefficient_of_Variation (r = 0.54) for the neck, and IH RFs, such as IH_Minimum_Histogram_Gradient (r = -0.51) and IB_Robust_Mean_Absolute_Deviation (r = 0.55) for the head, showed significant correlations.

conclusionsAmong robust RFs, the most highly correlated with dose alterations were IB, IH, and gray-level co-occurrence matrix (GLCM)-based RFs. The RFs at mid- and end-treatment varied with dose fractionation. Percentage changes in robust MVCT features during HT may serve as early markers.

Indexed as

Femur HeadFemur NeckProstatic NeoplasmsRadiotherapy, Intensity-ModulatedRectal NeoplasmsAgedHumansMaleMiddle AgedPhantoms, ImagingRadiomicsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, Spiral ComputedHelical tomotherapyMegavoltage computed tomographyProstate cancerRadiation-induced bone changesRadiomics, radiation responseRectal cancerSkeletal toxicityTexture analysis

Identifiers

PMID41046254
PMCPMC12495654

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Registered trials

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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.