Publications by authors named "Neil Jairath"

Background: Neck rejuvenation has consistently become a popular cosmetic procedure. While various treatment modalities have been used, a novel fractional thermomechanical skin rejuvenation system was recently developed to create dermal coagulation through direct heat transfer with subsequent neocollagenesis.

Objective: A prospective clinical trial evaluated the efficacy and safety of a thermomechanical fractional injury device (Tixel 2, Novoxel, Netanya, Israel) for neck rhytides.

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Background: Ultrasound energy can successfully treat fine lines and wrinkles, as well as lift the eyebrow and submentum. Ultrasound waves of high intensity induce thermal injury in the dermis with subsequent tissue remodeling.

Objective: To examine the utility of a novel ultrasound device that utilizes high-intensity, high-frequency, parallel ultrasound beams to improve the clinical appearance of cellulite on the thighs and buttocks.

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Background: Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps.

Objective: The aim of this systematic review was to offer an in-depth exploration of published AI algorithms trained on dermoscopic and macroscopic clinical images for the diagnosis of melanoma, basal cell carcinoma, and cutaneous squamous cell carcinoma (cSCC).

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Merkel cell carcinoma (MCC) is a neuroendocrine skin cancer with a high rate of mortality. While still relatively rare, the incidence of MCC has been rapidly rising in the US and around the world. Since 2017, two immunotherapeutic drugs, avelumab and pembrolizumab, have been FDA-approved for the treatment of metastatic MCC and have revolutionized outcomes for MCC.

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Background: Cosmetic tattoos in the periocular area, including microblading, have become increasingly popular. More patients have been seeking laser tattoo removal. A retrospective chart review for the laser treatment of eyeliner and eyebrow tattoos and a discussion of treatment experiences can better inform physicians.

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Article Synopsis
  • Targeting tumor metabolism could enhance glioblastoma (GBM) patient outcomes by identifying distinct metabolic groups linked to varying survival rates.
  • Research showed that IDH wildtype (IDHwt) GBMs have different metabolic profiles compared to IDH mutated (IDHmut) gliomas, with IDHmut patients generally having better survival outcomes.
  • Metabolic signatures revealed that GBMs high in amino acids correlate with improved survival, whereas tumors rich in nucleotides and lipids are associated with worse outcomes, suggesting potential for personalized treatment strategies.
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Article Synopsis
  • - The study investigates risk factors for the development of large cell transformation (LCT) in patients with Sezary Syndrome (SS), a rare skin condition with limited research on this transformation.
  • - Researchers analyzed records of SS patients from a cancer registry, discovering significant differences between those who developed LCT and those who did not, focusing on clinical and pathologic variables.
  • - Key findings indicate that factors like maximum total body surface area (TBSA) involvement, peak lactate dehydrogenase (LDH) levels, presence of ulceration, and lower CD8+ cell counts might help predict LCT in SS patients.
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Background/objective: To evaluate the development of intra- and post-operative retinal breaks after pars plana vitrectomy (PPV) for macular hole (MH) and/or vitreomacular traction (VMT).

Subjects/methods: Medical records of patients who underwent PPV at Kellogg Eye Center between 1/1/2005-6/30/2018, were evaluated in three groups: group 1, MH/VMT (n = 136); group 2, epiretinal membrane (ERM) without VMT (n = 270); and group 3, diagnostic vitrectomy (DV) or vitreous opacities (n = 35). Statistical analyses were conducted using SAS.

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Background: The international Intermediate Clinical Endpoints in Cancer of the Prostate working group has established metastasis-free survival as a surrogate for overall survival in localised prostate cancer based on the findings of 19 predominantly radiotherapy-based trials. We sought to comprehensively assess aggregate trial-level performance of commonly reported intermediate clinical endpoints across all randomised trials in localised prostate cancer.

Methods: For this meta-analysis, we searched PubMed for all trials in localised or biochemically recurrent prostate cancer published between Jan 1, 1970, and Jan 15, 2020.

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Skin cutaneous melanoma is characterized by significant heterogeneity in its molecular, genomic and immunologic features. Whole transcriptome RNA sequencing data from The Cancer Genome Atlas of skin cutaneous melanoma (n = 328) was utilized. CIBERSORT was used to identify immune cell type composition, on which unsupervised hierarchical clustering was performed.

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Context: Molecular biomarkers aim to address the established limitations of clinicopathologic factors to accurately risk stratify patients with prostate cancer (PCa). Questions remain as to whether sufficient evidence supports adoption of these biomarkers for clinical use.

Objective: To perform a systematic review of the available evidence supporting the clinical utility of the Decipher genomic classifier (GC).

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Purpose: Hepatocellular carcinoma (HCC) is characterized by a poor prognosis and a high recurrence rate. The tumor immune microenvironment in HCC has been characterized as shifted toward immunosuppression. We conducted a genomic data-driven classification of immune microenvironment HCC subtypes.

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Importance: Cancer treatment delay has been reported to variably impact cancer-specific survival and coronavirus disease 2019 (COVID-19)-specific mortality during the severe acute respiratory syndrome coronavirus 2 pandemic. During the pandemic, treatment delay is being recommended in a nonquantitative, nonobjective, and nonpersonalized manner, and this approach may be associated with suboptimal outcomes. Quantitative integration of cancer mortality estimates and data on the consequences of treatment delay is needed to aid treatment decisions and improve patient outcomes.

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