Skip to main content

Research trends and hot spots in the prevention and management of radiation dermatitis: a bibliometric analysis based on CiteSpace

Abstract

Objective

This study sought to examine the current state and explore the key areas and emerging trends in radiation dermatitis prevention and management through bibliometric analysis, with the goal of providing valuable insights for future research endeavors.

Methods

This study analyzed all publications on radiation dermatitis prevention and management from the Web of Science (WOS) core database up to 2024. The CiteSpace software was utilized to visualize authors, countries/regions, publishing institutions, keywords, co-cited documents, hot spots, and research frontiers.

Results

A total of 459 articles (1995–2024) were identified, with the overall number of publications demonstrating an increasing trend. The United States (125) produced the highest number of publications, followed by China (73) and Canada (45). Key research topics encompass breast cancer, head and neck cancer, acute radiation dermatitis, and radiation recall dermatitis. Double-blind clinical trials constitute the primary research methodology. The main research areas in this field focus on the role of radiotherapy dose fractionation modalities, atmospheric pressure cold plasma, hyperbaric oxygen therapy (HBOT), aloe vera, biomodulation therapy, and biological dressings in the prevention and management of radiation dermatitis.

Conclusion

This comprehensive bibliometric analysis reveals that risk prediction, assessment tools, and the efficacy of radiodermatitis are prominent research topics in the field. These areas are currently experiencing rapid growth and warrant further attention from researchers.

Introduction

The latest report from the International Agency for Research on Cancer (IARC) indicates that there were nearly 20 million new cancer cases and 9.7 million deaths worldwide in 2022, with projections suggesting new cases will increase to 35 million by 2050, representing a 77% rise from 2022 [1]. Radiation therapy (RT) is a primary clinical treatment for cancer patients, utilizing high-energy rays to directly and indirectly destroy tumor cells and tissues [2]. Approximately 50%-70% of all cancer patients undergo radiotherapy [3]. However, while radiotherapy targets tumors, it can also induce various adverse effects, including nausea, vomiting, radiation dermatitis, and bone marrow suppression [2, 4, 5]. Radiation dermatitis (RD) is among the most prevalent adverse reactions, with 95% of radiotherapy patients experiencing varying degrees of dermatitis during treatment [6]. Consequently, the prevention and management of RD are crucial components of cancer treatment and care.

RD can be classified into acute and chronic types based on the time of onset. Acute radiation dermatitis (ARD) manifests within 90 days post-radiotherapy, presenting symptoms ranging from mild (itching, pain, pigmentation) to severe (ulcers, bleeding, necrosis) [7]. Chronic radiation dermatitis (CRD) typically develops months or years after radiotherapy, characterized by skin atrophy, fibrosis, and pigmentation, with severe cases potentially leading to functional limitations and tissue contracture [6]. Research indicates that one-third of patients develop CRD at least a decade post-radiotherapy [8]. The prevention and management strategies for RD are diverse, with previous studies demonstrating the efficacy of creams, topical and internal medications, herbs, and dressings in reducing RD incidence or severity. However, the generalizability and consistency of some findings have diminished due to advancements in radiotherapy techniques and clinical research methodologies [9, 10]. Consequently, there is a need for a comprehensive scientific review of RD prevention and management strategies to identify areas warranting further investigation and exploration.

CiteSpace is a bibliometric visualization software that analyzes the research foundation, current status, focal points, and emerging trends of specific fields [11]. It has been extensively utilized across various domains including informatics, management, technology, and clinical medicine [1215]. Several researchers have conducted bibliometric analyses in tumor-related fields [16, 17]. However, the prevention and management of RD remains unaddressed. Through bibliometric analysis of literature from the past three decades, this study aims to elucidate the current state of research in the field of RD prevention and management, identify cutting-edge dynamics, and provide valuable insights for future research developments in this area.

Materials and methods

Search strategy

This study utilized the Web of Science (WOS) Core Collection database for the literature review. The search encompassed the period from the database’s inception to April 6, 2024. The search terms “radiation dermatitis,” “prevention,” “treatment,” and “management” were applied to the topic field, with the detailed search strategy presented in Table 1. To mitigate potential bias from database updates, the literature retrieval was completed within a single day (April 6, 2024). Figure 1 illustrates the detailed flowchart of the process. Two researchers (LZ and FL) independently performed the initial screening of literature by reviewing titles and abstracts to assess thematic relevance.In cases of disagreement, a third author (LL) participated in discussions to determine literature inclusion.

Table 1 Search strategy

Inclusion and exclusion criteria

Inclusion criteria: (1) Original articles and reviews focusing on the prevention, treatment, or management of RD; (2) Articles published in English;

Exclusion criteria: (1) conference abstracts, letters, editorials, errata, and similar non-peer-reviewed materials; (2) publications not written in English; (3) studies irrelevant to the research topic; (4) articles without full text availability; (5) publications lacking findings; (6) retracted articles; and (7) duplicate publications.

Fig. 1
figure 1

Flowchart of literature search, screening and analysis

Research methods

This study employed CiteSpace software (version 6.3.R1) as the primary research tool. In constructing visual representations of knowledge graphs, we followed the main procedural phases outlined by CiteSpace, which include time slicing, thresholding, modeling, pruning, merging, and mapping [18]. The time partition length was set to 1, and the threshold TOP was 50. The analysis encompassed authors, institutions, countries/regions, keywords, and co-cited articles in the field of RD prevention and management. Furthermore, we utilized key CiteSpace concepts, such as burst detection, betweenness centrality, and heterogeneous networks. These concepts enable the timely visualization of research status, hot spots, and frontiers [19]. For result reporting and discussion, we adhered to the ‘5W1H’ principle, which comprises What, Where, When, Who, Why, and How [20].

Results

Temporal distribution map of the literature

After excluding 564 ineligible papers, 459 publications were ultimately selected for analysis. Figure 2 illustrates the annual publication output on the prevention and management of RD and the field’s trend from 1995 to 2024, demonstrating an overall upward trajectory. Due to the search cutoff date of April 6, 2024, the number of publications in 2024 represented only approximately one-quarter of the average. An exponential growth model was employed to assess the relationship between annual publications and the year of publication. The model fitting the growth trend of annual publications (R2 = 0.8012) suggested a sustained increase in research on the prevention and management of RD.

Fig. 2
figure 2

Annual publications on radiation dermatitis prevention and management

Authors

Each node in the visualization represents an author, with the node size indicating the number of publications and the line thickness representing the strength of collaboration between authors. Figure 3 illustrates that a total of 760 authors contributed to research on the prevention and management of RD, with 1794 connections among them. The two authors with the highest number of publications are both from Canada: Edward Chow from the University of Toronto and Tara Behroozian from McMaster University. These researchers demonstrate a strong collaborative relationship. Table 2 presents a list of the top 11 authors in this field.

Fig. 3
figure 3

Cooperation of different authors focusing on radiation dermatitis

Table 2 Cooperation of different authors focusing on radiation dermatitis

Institutions

As illustrated in Fig. 4, the knowledge graph of the institutional cooperation network encompasses 399 institutions and 630 cooperative links. The five institutions with the highest publication output are: University of Toronto, McMaster University, Sunnybrook Research Institute, University of Rochester, and Azienda Ospedaliero Universitaria Careggi. The top three institutions are all located in Canada, while the top nine institutions are from Europe and the United States (USA), as detailed in Table 3.

Fig. 4
figure 4

Knoswledge graph of literature institution cooperation network

Table 3 Top 10 institutions in the field of radiation dermatitis prevention and management

Countries/regions

Figure 5 depicts the National Cooperation Network Knowledge Map, encompassing 48 countries/regions and 116 cooperation links, with a network density of 0.1028. As illustrated in Fig. 5; Table 4, the United States, China, and Canada rank among the top countries in terms of research output. The United States demonstrates leadership in both publication volume and centrality.

Fig. 5
figure 5

The cooperation of countries/regions in the field of radiation dermatitis prevention and management

Table 4 Top 10 countries/regions with the most publications on radiation dermatitis prevention and management

Co-cited references and references bursts

Document co-citation analysis using CiteSpace revealed 754 nodes, 2225 links, and a density of 0.0078 (Fig. 6). Table 5 presents the top 10 cited publications. The most frequently cited article, “Management of acute radiation dermatitis: A review of the literature and proposal for treatment algorithm,” published in 2019, received 36 citations. It was followed by “Acute radiation dermatitis in breast cancer patients: challenges and solutions” with 31 citations and “Radiodermatitis: A Review of Our Current Understanding” with 27 citations. Among these articles, “A single-blind, randomized controlled trial of StrataXRT® - A silicone-based film-forming gel dressing for prophylaxis and management of radiation dermatitis in patients with head” exhibited the highest centrality (0.18).

Fig. 6
figure 6

Knowledge network map of co-cited references

Table 5 The top 10 most cited documents on the prevention and management of radiation dermatitis

The 25 most influential references, as indicated by their strong citation burst, are depicted in Fig. 7. The reference exhibiting the strongest citation burst is “Radiodermatitis: A Review of Our Current Understanding” (Strength: 10.55), published in 2016.

Fig. 7
figure 7

Burst analysis of co-cited literature

Research hotspots and frontier analysis

Research hotspots

In addition to the primary keywords like radiotherapy, RD, prevention, management, and treatment, other frequently occurring terms include “breast cancer,” “double-blind,” “acute radiation dermatitis,” “phase III,” and “cream.” This suggests that research in the domain of RD prevention and management predominantly centers on breast cancer, clinical studies, ARD, and topical creams (see Fig. 8). Table 6 presents the top 10 keywords.

Fig. 8
figure 8

Keyword co-occurrence network knowledge graph

Table 6 Top 10 keywords in radiation dermatitis prevention and management research

Keyword cluster analysis facilitates the examination of research focus and delineation of primary research content in specific fields. This study employed the “Keyword” and “LLR” algorithms for clustering. The data clustering yielded a Q value of 0.5162 and an S value of 0.814, resulting in 10 clusters: #0 double-blind, #1 head and neck, #2 oncology nursing, #3 radiation recall, #4 skin, #5 topical amitriptyline, #6 aloe vera, #7 photobiomodulation therapy, #8 acute radiation dermatitis, and #9 local application (see Fig. 9). Through further inductive analysis integrating high-frequency and high centrality keywords, the study identified the primary research areas in the prevention and management of RD: (1) Research subjects/diseases: breast cancer, head and neck tumors, ARD, radiation recall dermatitis; (2) Research methodology: double-blind clinical trials; (3) Research focus: investigating the efficacy of radiotherapy dose-splitting modalities, atmospheric pressure cold plasma, hyperbaric oxygen therapy, aloe vera, biomodulation therapies, and biological dressings in preventing and managing RD, as detailed in Table 7.

Fig. 9
figure 9

Keyword clustering knowledge graph

Table 7 Major elements of keyword clustering for prevention and management of radiation dermatitis

Research frontiers

Burst words are keywords that appear frequently within a short timeframe, indicating the emergence, decline, or intensity of specific topics. These words aid in describing the evolution and development trends of research frontiers and predicting future research directions [11]. In the field of RD prevention and management, 22 burst keywords emerged. Figure 10 illustrates the initial appearance and duration of these keywords. The keyword with the strongest burst is “prophylactic agent” (strength = 6.42), followed by “head” (strength = 4.89) and “double-blind” (strength = 4.59). Analyzing the appearance times reveals that early burst keywords included radiation recall, Aloe vera gel, prophylactic agent, phase III, double-blind, Biafine, and breast radiation. The topic of “radiation recall” has attracted considerable attention over the past two decades, particularly from 1995 to 2014. Notably, 2004 marked a peak in the prevalence of keywords associated with this field, yielding six key terms: “prophylactic agent,” “phase III,” “double-blind,” “Biafine,” “oncology group rtog,” and “breast irradiation.” Currently, “risk factors” and “radiodermatitis” are at the forefront of research and in the burst period. Radiodermatitis primarily refers to the assessment tools and efficacy of RD.

Fig. 10
figure 10

Burst keyword map

Discussion

The overall number of publications on RD prevention and management is limited but exhibits a fluctuating growth trend. Studies project an increase in new cancer cases [1], potentially leading to a rise in radiotherapy treatments and, consequently, more patients experiencing radiodermatitis. This underscores the ongoing importance of research in the prevention and management of radiodermatitis. An analysis of authors, institutions, and countries/regions contributing to the literature reveals that top-published authors Chow Edward and Behroozian Tara have established a close collaboration, conducting comprehensive systematic reviews and meta-analyses on RD prevention and management [2124]. Furthermore, they jointly contributed to developing the Multinational Association for Supportive Care in Cancer (MASCC) clinical practice guidelines for the prevention and management of ARD [9]. Their work has made significant contributions to the field. Other authors have also formed collaborative networks of notable scope. High-volume publishing institutions are predominantly concentrated in Europe and the USA, with the USA leading in both publication volume and centrality. This prominence correlates with the USA’s advanced economy, medical technology, and extensive international collaborations. Although China ranks second in total published articles, its low centrality suggests room for improvement in literature quality. To enhance research impact, increased investment in radiodermatitis prevention and management research and strengthened large-scale cooperation with developed countries are recommended.

After three decades of development, research on RD has evolved from empirical symptom management to a comprehensive, multimodal approach to precision prevention and control. Integrating the results of the bibliometric analysis, the development process of RD can be broadly categorized into three stages: an exploratory phase from 1995 to 2015, a breakthrough phase from 2016 to 2019, and an era of precise prevention and control beginning in 2020.

Early studies conducted between 1995 and 2015 primarily focused on the phenomenon of “radiation recall” and “prophylactic agent”. Radiation recall dermatitis(RRD) refers to an acute skin inflammatory reaction at the site of previous radiotherapy caused by chemotherapy or targeted therapy. Its incidence rate ranges from 6% to 9% [25]. Due to its specificity, rarity, and unpredictability, most studies on RRD at this stage consist of case reports [26, 27]. With the popularization and advancement of radiotherapy technology, the management of ARD in patients with breast cancer and head and neck cancer has emerged as a prominent topic of interest. This has led to an increase in phase III clinical trials, particularly double-blind studies aimed at evaluating the efficacy of basic preventive measures, such as aloe vera gel and Biafine®. However, the application of these preventive measures primarily relies on clinical experience or physician preference, often neglecting the underlying pathophysiological mechanisms [28]. Consequently, their reference value is limited, and effective, evidence-based intervention methods remain to be established.

The most frequently cited and highest centrality articles represent significant contributions to the prevention and management of RD during the period from 2016 to 2019. The most-cited article, “Management of Acute Radiodermatitis: Literature Review and Treatment Algorithm Recommendations,” is a review published by Rosenthal, A [29] in 2019. This review, based on various topical medications and their mechanisms of action for RD, recommends that radiotherapy patients use mild soap and water for daily cleaning based on treatment efficacy. It advocates the use of topical corticosteroids and silver nylon dressings for the treatment of ARD. The article with the highest centrality, “A single-blind, randomized controlled trial of StrataXRT® - A silicone-based film-forming gel dressing for prophylaxis and management of radiation dermatitis in patients with head and neck cancer,” was authored by Chan RJ [30] in 2019. In this study, Chan randomly assigned 197 patients receiving radical radiotherapy to the head and neck into an intervention group (StrataXRT®) and a standard care group (Sorbolene). The patients’ RD was evaluated 4 weeks after the conclusion of radiotherapy. The results indicate that StrataXRT® can effectively prevent and delay the occurrence of grade 2 and grade 3 RD in patients with head and neck cancer.

The emergence of two landmark articles has established the significant role of biological dressings in the prevention and management of RD. By integrating the keyword co-occurrence graph and keyword frequency table, and reviewing the relevant literature under each cluster label, it is concluded that, in this phase, in addition to biological dressings, a substantial amount of research has been conducted on the effectiveness of hypofractionated radiotherapy, aloe vera, hyperbaric oxygen therapy (HBOT) and bioregulation therapy.

Hypofractionated radiotherapy refers to a RT approach that achieves comparable or superior therapeutic outcomes compared to conventional radiotherapy by reducing the number of treatment sessions while increasing the dose per session [31]. Implementation of weekly hypofractionated radiotherapy for post-operative breast cancer patients not only maintains skin toxicity levels but also demonstrates a 2-year overall survival rate of 96.8% and a disease-free survival rate of 97.7%, providing compelling evidence for its clinical adoption [32].

Aloe vera, renowned for its anti-inflammatory and analgesic properties, facilitates wound healing. When applied before radiotherapy, it can effectively mitigate erythema and burning sensations in the skin of head and neck cancer patients undergoing radiotherapy and prevent moist RD [33]. However, another study has concluded that the beneficial effects of aloe vera in treating RD are not significant, and its widespread clinical application is not currently recommended [34]. Similarly, although a limited number of studies have reported positive outcomes of hyperbaric oxygen therapy in the treatment of RD, there is presently insufficient evidence to confirm its efficacy [35, 36].Multiple studies have demonstrated the promising potential of bioregulatory therapy in both preventing and treating RD, specifically in alleviating pain and significantly reducing the risk of grade 3 RD in breast cancer patients [3739].

It is evident that numerous research findings have emerged during this period. The transition from empirical exploration to more scientific and systematic investigation has significantly advanced the prevention and management of RD.

The current prevalence of “risk factors” and “assessment tools and treatment” indicates a paradigm shift in research methodology. Research on RD has progressed beyond prevention and treatment, now focusing on prediction and intervention through sophisticated statistical methods and techniques. Wu et al. [40] developed a deep learning platform utilizing Bayesian optimization to predict grade 2 or higher RD in breast cancer patients with high accuracy. This development marks a significant advancement towards personalized medicine in RD management. Hamada, K [41] created a Bayesian probability-based model predicting ARD in head and neck cancer patients with 92.4% accuracy, further highlighting this technique’s potential in clinical decision support. Qin, YZ [42] performed a multivariate analysis of 110 nasopharyngeal carcinoma patients, revealing that the pre-radiotherapy Th/Ts ratio significantly correlated with acute skin reaction (OR: 2.29, 95% CI: 1.09–4.79, p < 0.05). Additionally, mid-radiotherapy serum albumin levels < 35 g/L were identified as a significant risk factor for moderate to severe acute radiation skin injury (OR: 6.61, 95% CI: 1.31–33.43, p < 0.05). These findings offer valuable insights for clinical practice.

The implementation of innovative technologies and methodologies has yielded promising outcomes in the prevention and management of RD. Atmospheric cold plasma, generated under normal temperature and pressure conditions and rich in active particles, has demonstrated significant efficacy in promoting cell growth and accelerating wound healing. When applied locally, it can substantially reduce the incidence and severity of RD in breast cancer patients, effectively alleviating symptoms such as pain and itching, thereby contributing to RD prevention and treatment [43, 44]. Hulpusch et al. [45] observed that the skin microbiome composition before, during, and after radiotherapy is associated with severe RD. Kost et al. [46] corroborated that bacterial decolonization can effectively prevent ARD, particularly in breast cancer patients. Robijns et al. [47] developed a novel multi-active emollient and applied it to breast cancer patients undergoing radiotherapy. Their results demonstrated that this new emollient significantly reduced the incidence of RTOG grade 2 skin reactions. Additionally, from the second week to the final radiotherapy session, it decreased the frequency and severity of Sjogren’s syndrome.

Significant advancements have been made in the assessment of RD. Pilsniak [48, 49] pioneered the use of dermoscopy for evaluating ARD and CRD in head and neck cancer patients. Their findings revealed that the correlation between dermoscopic and clinical features ranged from 0.03 to 0.54 for acute dermatitis and 0.226 to 0.423 for CRD. Furthermore, Ghaffar [50] introduced the Radiation-Induced Skin Reactions cohort, demonstrating its superior reliability compared to RTOG or CTCAE grades for clinical evaluation.

In summary, the field of RD is currently undergoing a significant transition from conventional treatment approaches to an integrated management model that incorporates advanced technologies. Although phase II validation outcomes have been achieved in exploring risk prediction models, developing novel assessment methods, and implementing innovative treatment modalities, further clinical validation remains essential. Subsequent studies can build upon this foundation to conduct more in-depth explorations, such as establishing large-scale biological databases and developing intelligent systems that integrate prediction, prevention, and intervention.

Limitations

This study employs comprehensive bibliometric analysis to synthesize literature from diverse generations, authors, institutions, and countries/regions. It elucidates the current research landscape and future trends in the prevention and treatment of RD, offering valuable references for subsequent investigations. However, certain limitations persist. Primarily, the study’s scope is confined to documents within the WOS Core Collection database, potentially introducing selection bias. Additionally, some recent high-quality publications or those with insufficient citations were not thoroughly analyzed, which may result in inconsistent findings.

Data availability

The datasets used or analyzed in this study are available from the corresponding author on reasonable request.

References

  1. Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229–63.

    Article  PubMed  Google Scholar 

  2. Gong L, Zhang Y, Liu C, Zhang M, Han S. Application of radiosensitizers in cancer radiotherapy. Int J Nanomed. 2021;16:1083–102.

    Article  Google Scholar 

  3. Connell PP, Hellman S. Advances in radiotherapy and implications for the next century: a historical perspective. Cancer Res. 2009;69:383–92.

    Article  CAS  PubMed  Google Scholar 

  4. Mac Manus M, Lamborn K, Khan W, Varghese A, Graef L, Knox S. Radiotherapy-Associated neutropenia and thrombocytopenia: analysis of risk factors and development of a predictive model. Blood. 1997;89:2303–10.

    Article  CAS  PubMed  Google Scholar 

  5. Urba S. Radiation-induced nausea and vomiting. J Natl Compr Canc Netw. 2007;5:60–5.

    Article  CAS  PubMed  Google Scholar 

  6. Hymes SR, Strom EA, Fife C. Radiation dermatitis: clinical presentation, pathophysiology, and treatment 2006. J Am Acad Dermatol. 2006;54:28–46.

    Article  PubMed  Google Scholar 

  7. Wong RK, Bensadoun RJ, Boers-Doets CB, Bryce J, Chan A, Epstein JB, Eaby-Sandy B, Lacouture ME. Clinical practice guidelines for the prevention and treatment of acute and late radiation reactions from the MASCC skin toxicity study group. Support Care Cancer. 2013;21:2933–48.

    Article  PubMed  Google Scholar 

  8. Whelan T, Pignol J, Levine M, Julian J, MacKenzie R, Parpia S, Shelley W, Grimard L, Bowen J, Lukka H, et al. Long-Term results of hypofractionated radiation therapy for breast cancer. N Engl J Med. 2010;362:513–20.

    Article  CAS  PubMed  Google Scholar 

  9. Behroozian T, Bonomo P, Patel P, Kanee L, Finkelstein S, van den Hurk C, Chow E, Wolf JR, Multinational Association of Supportive Care in Cancer Oncodermatology Study Group Radiation Dermatitis Guidelines Working G. Multinational association of supportive care in cancer (MASCC) clinical practice guidelines for the prevention and management of acute radiation dermatitis: international Delphi consensus-based recommendations. Lancet Oncol. 2023;24:e172–85.

    Article  PubMed  Google Scholar 

  10. Yang X, Ren H, Guo X, Hu C, Fu J. Radiation-induced skin injury: pathogenesis, treatment, and management. Aging. 2020;12:23379–93.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Synnestvedt MB, Chen C, Holmes JH. CiteSpace II: visualization and knowledge discovery in bibliographic databases. AMIA Annu Symp Proc. 2005;2005:724–8.

    PubMed  PubMed Central  Google Scholar 

  12. Yang D, Wu X, Liu J, Zhou J. CiteSpace-based global science, technology, engineering, and mathematics education knowledge mapping analysis. Front Psychol. 2022;13:1094959.

    Article  PubMed  Google Scholar 

  13. Liu X, Zhao S, Tan L, Tan Y, Wang Y, Ye Z, Hou C, Xu Y, Liu S, Wang G. Frontier and hot topics in electrochemiluminescence sensing technology based on CiteSpace bibliometric analysis. Biosens Bioelectron. 2022;201:113932.

    Article  CAS  PubMed  Google Scholar 

  14. Cortese S, Sabe M, Chen C, Perroud N, Solmi M. Half a century of research on Attention-Deficit/Hyperactivity disorder: A scientometric study. Neurosci Biobehav Rev. 2022;140:104769.

    Article  PubMed  Google Scholar 

  15. Yang W, Wang S, Chen C, Leung HH, Zeng Q, Su X. Knowledge mapping of enterprise network research in China: A visual analysis using CiteSpace. Front Psychol. 2022;13:898538.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Zhong D, Li Y, Huang Y, Hong X, Li J, Jin R. Molecular mechanisms of exercise on cancer: A bibliometrics study and visualization analysis via CiteSpace. Front Mol Biosci. 2021;8:797902.

    Article  CAS  PubMed  Google Scholar 

  17. Ma L, Ma JX, Teng MZ, Li YM. Visual analysis of colorectal cancer immunotherapy: A bibliometric analysis from 2012 to 2021. Front Immunol. 2022;13:843106.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Chen* C. Searching for intellectual turning points: progressive knowledge domain visualization. Proc Natl Acad Sci U S A. 2004;101:5303–10.

    Article  PubMed  Google Scholar 

  19. Chen C. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inform Sci Technol. 2005;57:359–77.

    Article  Google Scholar 

  20. Li H, Wu H, Zhang C. A pocket practical guide on bibliometric analysis: bridging informatics with science in a rapid manner. Annals Med Surg. 2024;86:6344–5.

    Article  Google Scholar 

  21. Yee C, Wang K, Asthana R, Drost L, Lam H, Lee J, Vesprini D, Leung E, DeAngelis C, Chow E. Radiation-induced skin toxicity in breast cancer patients: A systematic review of randomized trials. Clin Breast Cancer. 2018;18:e825–40.

    Article  PubMed  Google Scholar 

  22. Gobbo M, Rico V, Marta GN, Caini S, Ryan Wolf J, van den Hurk C, Beveridge M, Lam H, Bonomo P, Chow E, et al. Photobiomodulation therapy for the prevention of acute radiation dermatitis: a systematic review and meta-analysis. Support Care Cancer. 2023;31:227.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Gojsevic M, Akkila S, Kennedy SKF, Herst P, Ogita M, Ye JC, Shariati S, Rajeswaran T, Behroozian T, Lee SF, et al. StrataXRT for the prevention and treatment of radiation dermatitis: a critical review. Support Care Cancer. 2023;31:713.

    Article  PubMed  Google Scholar 

  24. Tam S, Zhou G, Trombetta M, Caini S, Ryan Wolf J, van den Hurk C, Beveridge M, Lam H, Bonomo P, Chow E, et al. Topical corticosteroids for the prevention of severe radiation dermatitis: a systematic review and meta-analysis. Support Care Cancer. 2023;31:382.

    Article  PubMed  Google Scholar 

  25. Burris HA, Hurtig J. Radiation recall with anticancer agents. Oncologist. 2010;15:1227–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Chung C, Dawson LA, Joshua AM, Brade AM. Radiation recall dermatitis triggered by multi-targeted tyrosine kinase inhibitors: Sunitinib and Sorafenib. Anticancer Drugs. 2010;21:206–9.

    Article  CAS  PubMed  Google Scholar 

  27. O’Regan KN, Nishino M, Armand P, Kelly PJ, Hwang DG-I, Di Salvo D. Sonographic features of pectoralis muscle necrosis secondary to Gemcitabine-Induced radiation recall. J Ultrasound Med. 2010;29:1499–502.

    Article  PubMed  Google Scholar 

  28. Singh M, Alavi A, Wong R, Akita S. Radiodermatitis: A review of our current Understanding. Am J Clin Dermatol. 2016;17:277–92.

    Article  PubMed  Google Scholar 

  29. Rosenthal A, Israilevich R, Moy R. Management of acute radiation dermatitis: A review of the literature and proposal for treatment algorithm. J Am Acad Dermatol. 2019;81:558–67.

    Article  PubMed  Google Scholar 

  30. Chan RJ, Blades R, Jones L, Downer TR, Peet SC, Button E, Wyld D, McPhail S, Doolan M, Yates P. A single-blind, randomised controlled trial of StrataXRT(R) - A silicone-based film-forming gel dressing for prophylaxis and management of radiation dermatitis in patients with head and neck cancer. Radiother Oncol. 2019;139:72–8.

    Article  CAS  PubMed  Google Scholar 

  31. Hijal T, Al Hamad A, Niazi T, Sultanem K, Bahoric B, Vuong T, Muanza T. Hypofractionated radiotherapy and adjuvant chemotherapy do not increase radiation-induced dermatitis in breast cancer patients. Curr Oncol. 2010;17:22–7.

  32. Reboucas LM, Campos CS, D’Amico GM, Lustosa AB, Fregnani JH. Once-weekly hypofractionated radiotherapy for breast cancer: first results of a phase II clinical trial. Breast J. 2019;25:953–7.

    Article  PubMed  Google Scholar 

  33. Tungkasamit T, Chakrabandhu S, Samakgarn V, Kunawongkrit N, Jirawatwarakul N, Chumachote A, Chitapanarux I. Reduction in severity of radiation-induced dermatitis in head and neck cancer patients treated with topical Aloe Vera gel: A randomized multicenter double-blind placebo-controlled trial. Eur J Oncol Nurs. 2022;59:102164.

    Article  PubMed  Google Scholar 

  34. Baharara H, Rahsepar S, Emami SA, Elyasi S, Mohammadpour AH, Ghavami V, Rajendram R, Sahebkar A, Arasteh O. The efficacy of medicinal plant preparations in the alleviation of radiodermatitis in patients with breast cancer: A systematic review of clinical trials. Phytother Res. 2023;37:3275–95.

    Article  PubMed  Google Scholar 

  35. Bray FN, Simmons BJ, Wolfson AH, Nouri K. Acute and chronic cutaneous reactions to ionizing radiation therapy. Dermatol Ther (Heidelb). 2016;6:185–206.

    Article  PubMed  Google Scholar 

  36. Wei J, Meng L, Hou X, Qu C, Wang B, Xin Y, Jiang X. Radiation-induced skin reactions: mechanism and treatment. Cancer Manag Res. 2019;11:167–77.

    Article  CAS  PubMed  Google Scholar 

  37. Zhang X, Li H, Li Q, Li Y, Li C, Zhu M, Zhao B, Li G. Application of red light phototherapy in the treatment of radioactive dermatitis in patients with head and neck cancer. World J Surg Oncol. 2018;16:222.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Robijns J, Censabella S, Claes S, Pannekoeke L, Busse L, Colson D, Kaminski I, Lodewijckx J, Bulens P, Maes A, et al. Biophysical skin measurements to evaluate the effectiveness of photobiomodulation therapy in the prevention of acute radiation dermatitis in breast cancer patients. Support Care Cancer. 2019;27:1245–54.

    Article  PubMed  Google Scholar 

  39. Strouthos I, Chatzikonstantinou G, Tselis N, Bon D, Karagiannis E, Zoga E, Ferentinos K, Maximenko J, Nikolettou-Fischer V, Zamboglou N. Photobiomodulation therapy for the management of radiation-induced dermatitis: A single-institution experience of adjuvant radiotherapy in breast cancer patients after breast conserving surgery. Strahlenther Onkol. 2017;193:491–8.

    Article  PubMed  Google Scholar 

  40. Wu K, Miu X, Wang H, Li X. A bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy. Front Oncol. 2023;13:1152020.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Hamada K, Fujibuchi T, Arakawa H, Yokoyama Y, Yoshida N, Ohura H, Kunitake N, Masuda M, Honda T, Tokuda S, et al. A novel approach to predict acute radiation dermatitis in patients with head and neck cancer using a model based on bayesian probability. Phys Med. 2023;116:103181.

    Article  PubMed  Google Scholar 

  42. Qin YZ, Peng J, Jiang JF, Lu SJ. Acute Radiation-Induced skin reaction in nasopharyngeal carcinoma radiotherapy patients: A study looking for blood biochemical indices as risk factors. J Biol Reg Homeos Ag. 2023;37:665–72.

    CAS  Google Scholar 

  43. Dejonckheere CS, Layer JP, Nour Y, Layer K, Glasmacher A, Wiegreffe S, Fuhrmann A, Caglayan L, Grau F, Sarria GR, et al. Non-invasive physical plasma for preventing radiation dermatitis in breast cancer: results from an intrapatient-randomised double-blind placebo-controlled trial. Clin Transl Radiat Oncol. 2024;44:100699.

    CAS  PubMed  Google Scholar 

  44. Dejonckheere CS, Torres-Crigna A, Layer JP, Layer K, Wiegreffe S, Sarria GR, Scafa D, Koch D, Leitzen C, Koksal MA et al. (2022) Non-Invasive physical plasma for preventing radiation dermatitis in breast cancer: A First-In-Human feasibility study. Pharmaceutics 14.

  45. Hulpusch C, Neumann AU, Reiger M, Fischer JC, de Tomassi A, Hammel G, Gulzow C, Fleming M, Dapper H, Mayinger M, et al. Association of skin Microbiome dynamics with radiodermatitis in patients with breast cancer. JAMA Oncol. 2024;10:516–21.

    Article  PubMed  Google Scholar 

  46. Kost Y, Deutsch A, Mieczkowska K, Nazarian R, Muskat A, Hosgood HD, Lin J, Daily JP, Ohri N, Kabarriti R, et al. Bacterial decolonization for prevention of radiation dermatitis: A randomized clinical trial. JAMA Oncol. 2023;9:940–5.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Robijns J, Van Bever L, Hermans S, Claes M, Lodewijckx J, Lenaerts M, Tuts L, Vandaele E, Vinken E, Noe L, et al. A novel, multi-active emollient for the prevention of acute radiation dermatitis in breast cancer patients: a randomized clinical trial. Support Care Cancer. 2023;31:625.

    Article  PubMed  Google Scholar 

  48. Pilsniak A, Szlauer-Stefanska A, Tukiendorf A, Rutkowski T, Skladowski K, Kaminska-Winciorek G. Dermoscopy of acute radiation-induced dermatitis in patients with head and neck cancers treated with radiotherapy. Sci Rep. 2023;13:15711.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Pilsniak A, Szlauer-Stefanska A, Tukiendorf A, Rutkowski T, Skladowski K, Kaminska-Winciorek G. (2024) Dermoscopy of chronic Radiation-Induced dermatitis in patients with head and neck cancers treated with radiotherapy. Life (Basel) 14.

  50. Ghaffar A, Xie YN, Antinozzi P, Wolf JR. (2023) RISREAC study: assessment of cutaneous radiation injury through clinical Documentation. Disaster Med Pub Health Prep 17.

Download references

Funding

This study was conducted without external financial support.

Author information

Authors and Affiliations

Authors

Contributions

ZL, LL, and LF collected all data. ZL, LL, and LF were the main contributors to writing this manuscript. CPJ and YF made critical revisions to this article. All authors contributed to the article and approved the submitted version.

Corresponding author

Correspondence to Feng Ye.

Ethics declarations

Ethical approval

The WOS database serves as the exclusive source of information for this research. Given that no human subjects participated in this study, ethical informed consent was not necessary.

Informed consent

This article does not contain any studies involving human participants conducted by any of the authors.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, L., Liu, L., Li, F. et al. Research trends and hot spots in the prevention and management of radiation dermatitis: a bibliometric analysis based on CiteSpace. Radiat Oncol 20, 55 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13014-025-02628-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13014-025-02628-5

Keywords