Evidence map›Paper›PMID 39329113›Full record

ArticleAdvances in radiation oncology2024

Sensitivity Response Analysis of Optical Surface Monitoring Systems Using the Fitzpatrick Scale: A Phantom Study.

Rakesh Kapoor, Aarti Jamwal, Gaganpreet Singh, Arun S Oinam, Divya Khosla, Mandeep Garg

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Operational assessment of tattooless breast radiotherapy using AlignRT surface guidance.Technical innovations & patient support in radiation oncology · 2025
    Article
  3. 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

6 authors.

Rakesh KapoorDepartment of Radiotherapy and Clinical Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Aarti JamwalDepartment of Radiotherapy and Clinical Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Gaganpreet SinghApollo Proton Cancer Centre, Chennai, Tamil Nadu, India.
Arun S OinamDepartment of Radiotherapy and Clinical Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Divya KhoslaDepartment of Radiotherapy and Clinical Oncology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Mandeep GargDepartment of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Optical surface monitoring systems (OSMSs) have gained substantial attention in modern radiation therapy, specifically in the context of surface guided radiation therapy, which offers real-time patient surface monitoring, ensuring accurate and effective radiation therapy treatments. The aim of this article is to evaluate the OSMS camera sensitivity toward different skin tones, categorized according to the Fitzpatrick scale, a universal classification of human skin tones, using a phantom. Methods and Materials: This study used Catalyst and Sentinel OSMSs (C-RAD). The Alderson RANDO female pelvis phantom, located at the isocenter in computed tomography simulation and treatment rooms, served as an experimental subject. Eighteen skin tone-matching cotton cloths, selected on the basis of Von Luschan chromatic and Fitzpatrick scales, were wrapped around the phantom for sensitivity evaluation. Camera sensitivity was optimized by adjusting threshold/gain (100%-600%) and integration time during individual scans in both rooms. Temporal response analysis spanned 2 months, with 16 measurements for each OSMS taken in varying light conditions. Results: The OSMSs successfully detected the surface of cloth-covered phantoms with varying mean (SD) integration times: 550 (34) to 950 (43) μs for the Sentinel system and 2300 (71) to 12,000 (400) μs for the Catalyst system. The sensitivity parameters differed for each skin tone, with lighter skin requiring shorter integration times and gain/threshold values. Darker skin tones necessitated higher parameters for optimal surface images. The reliability of the systems declined with excessive parameters, leading to noise and compromised accuracy in patient positioning. Conclusions: Optimized sensitivity parameters tailored to individual skin tones are crucial for effective real-time patient surface monitoring in radiation therapy, as variations in skin color can affect the accuracy of measurements. The precision of skin color measurements in OSMSs relies on carefully adjusting camera sensitivity parameters. However, careful consideration is essential, as larger values are required for darker skin tones, compromising reliability. This suggests the need for exploring alternative image guidance methods for patients with darker skin tones.

Identifiers

PMID39329113
PMCPMC11424944

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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.