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Photodynamic therapy: A hot topic in dermato-oncology.

ABSTRACT: Photodynamic therapy (PDT) is a modern, non-invasive therapeutic method used for the destruction of various cells and tissues. It requires the simultaneous presence of three components: a photosensitizer (PS), a light source and oxygen. Precancerous skin lesions are conditions associated with a high likelihood of malignant transformation to squamous cell carcinoma. Data available so far indicate that PDT is a promising treatment method which can be successfully employed in several medical fields including dermatology, urology, ophthalmology, pneumology, cardiology, dentistry and immunology. Numerous authors therefore have studied this technique in order to improve its efficacy. As a result, significant advancement has been achieved with regard to PSs and drug delivery systems. Substantial progress was also obtained with respect to PDT for the treatment of precancerous skin lesions, several authors focusing their efforts on the study of daylight-PDT and on identifying methods of decreasing technique-related pain. This review reports on the most recent findings in PDT, with emphasis on cutaneous precancerous lesions.

SUBMITTER: Tampa M

PROVIDER: S-EPMC6444307 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Photodynamic therapy: A hot topic in dermato-oncology.

Tampa Mircea M Sarbu Maria-Isabela MI Matei Clara C Mitran Cristina-Iulia CI Mitran Madalina-Irina MI Caruntu Constantin C Constantin Carolina C Neagu Monica M Georgescu Simona-Roxana SR

Oncology letters 20190116 5

Photodynamic therapy (PDT) is a modern, non-invasive therapeutic method used for the destruction of various cells and tissues. It requires the simultaneous presence of three components: a photosensitizer (PS), a light source and oxygen. Precancerous skin lesions are conditions associated with a high likelihood of malignant transformation to squamous cell carcinoma. Data available so far indicate that PDT is a promising treatment method which can be successfully employed in several medical fields ...[more]

PMID: 30944601

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Project description:BackgroundAppropriate management and prevention of both under- and overtreatment in older skin cancer patients can be challenging. It could be helpful to incorporate frailty screening in dermato-oncology care, since frailty is associated with adverse health outcomes.ObjectivesThis study aimed to identify and prioritize the requirements a frailty screening tool (FST) should fulfil in dermato-oncology practice and to select the best existing FST(s) for this purpose.MethodsA modified two-round Delphi procedure was performed among 50 Italian and Dutch specialists and patients to review and prioritize a list of potential FST requirements, using a 5-point Likert scale. Consensus was defined as a mean score of ≥4.0. A systematic literature search was performed to identify existing multidomain FSTs, which were then assessed on the requirements resulting from the modified Delphi procedure.ResultsConsensus was achieved on evaluation of comorbidities (4.3 ± 0.7), polypharmacy (4.0 ± 0.9) and cognition (4.1 ± 0.8). The FST should have appropriate measurement properties (4.0 ± 1.0), be quickly executed (4.2 ± 0.7), clinically relevant (4.3 ± 0.7), and both easily understandable (4.1 ± 1.2) and interpretable (4.3 ± 0.7). Of the 26 identified FSTs, four evaluated the content-related domains: the Geriatric-8 (G8), the modified Geriatric-8 (mG8), the Groningen Frailty Indicator (GFI) and the Senior Adult Oncology Program 2 (SAOP2) screening tool. Of these, the G8 was the most extensively studied FST, with the best psychometric properties and execution within 5 min.ConclusionsThe G8 appears the most suitable FST for assessing frailty in older adults with skin cancer, although clinical studies assessing its use in a dermato-oncology population are needed to further assess whether or not frailty in this particular patient group is associated with relevant outcomes (e.g. complications and mortality), as seen in previous studies in other medical fields.

Project description:PurposeWe present the first study to investigate Large Language Models (LLMs) in answering radiation oncology physics questions. Because popular exams like AP Physics, LSAT, and GRE have large test-taker populations and ample test preparation resources in circulation, they may not allow for accurately assessing the true potential of LLMs. This paper proposes evaluating LLMs on a highly-specialized topic, radiation oncology physics, which may be more pertinent to scientific and medical communities in addition to being a valuable benchmark of LLMs.MethodsWe developed an exam consisting of 100 radiation oncology physics questions based on our expertise. Four LLMs, ChatGPT (GPT-3.5), ChatGPT (GPT-4), Bard (LaMDA), and BLOOMZ, were evaluated against medical physicists and non-experts. The performance of ChatGPT (GPT-4) was further explored by being asked to explain first, then answer. The deductive reasoning capability of ChatGPT (GPT-4) was evaluated using a novel approach (substituting the correct answer with "None of the above choices is the correct answer."). A majority vote analysis was used to approximate how well each group could score when working together.ResultsChatGPT GPT-4 outperformed all other LLMs and medical physicists, on average, with improved accuracy when prompted to explain before answering. ChatGPT (GPT-3.5 and GPT-4) showed a high level of consistency in its answer choices across a number of trials, whether correct or incorrect, a characteristic that was not observed in the human test groups or Bard (LaMDA). In evaluating deductive reasoning ability, ChatGPT (GPT-4) demonstrated surprising accuracy, suggesting the potential presence of an emergent ability. Finally, although ChatGPT (GPT-4) performed well overall, its intrinsic properties did not allow for further improvement when scoring based on a majority vote across trials. In contrast, a team of medical physicists were able to greatly outperform ChatGPT (GPT-4) using a majority vote.ConclusionThis study suggests a great potential for LLMs to work alongside radiation oncology experts as highly knowledgeable assistants.

Project description:We tested the hypothesis that the uterus of virgin heifers and pregnant cows possessed a resident microbiome by 16S rRNA gene sequencing of the virgin and pregnant bovine uterus. The endometrium of 10 virgin heifers in estrus and the amniotic fluid, placentome, intercotyledonary placenta, cervical lumen, and external cervix surface (control) of 5 pregnant cows were sampled using aseptic techniques. The DNA was extracted, the V4 hypervariable region of the 16S rRNA gene was amplified, and amplicons were sequenced using Illumina MiSeq technology (Illumina Inc., San Diego, CA). Operational taxonomic units (OTU) were generated from the sequences using Qiime v1.8 software, and taxonomy was assigned using the Greengenes database. The effect of tissue on the microbial composition within the pregnant uterus was tested using univariate (mixed model) and multivariate (permutational multivariate ANOVA) procedures. Amplicons of 16S rRNA gene were generated in all samples, supporting the contention that the uterus of virgin heifers and pregnant cows contained a microbiome. On average, 53, 199, 380, 382, 525, and 13,589 reads annotated as 16, 35, 43, 63, 48, and 176 OTU in the placentome, virgin endometrium, amniotic fluid, cervical lumen, intercotyledonary placenta, and external surface of the cervix, respectively, were generated. The 3 most abundant phyla in the uterus of the virgin heifers and pregnant cows were Firmicutes, Bacteroidetes, and Proteobacteria, and they accounted for approximately 40, 35, and 10% of the sequences, respectively. Phyla abundance was similar between the tissues of the pregnant uterus. Principal component analysis, one-way PERMANOVA analysis of the Bray-Curtis similarity index, and mixed model analysis of the Shannon diversity index and Chao1 index demonstrated that the microbiome of the control tissue (external surface of the cervix) was significantly different from that of the amniotic fluid, intercotyledonary placenta, and placentome tissues. Interestingly, many bacterial species associated with postpartum uterine disease (i.e., Trueperella spp., Acinetobacter spp., Fusobacteria spp., Proteus spp., Prevotella spp., and Peptostreptococcus spp.) were also present in the uterus of virgin heifers and of pregnant cows. The presence of 16S rRNA gene sequence reads in the samples from the current study suggests that the uterine microbiome is established by the time a female reaches reproductive maturity, and that pregnancies are established and maintained in the presence of a uterine microbiome.

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Photodynamic therapy: A hot topic in dermato-oncology.

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Photodynamic therapy: A hot topic in dermato-oncology.

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