Faculty Bibliography

OBJECTIVE:To provide a critical overview of current radiation modalities for keloid management. BACKGROUND:Despite multimodal therapies, keloids that can develop following injury are poorly controlled. A number of studies have suggested that post-excisional radiation therapy can reduce rates of keloid recurrence. However, existing reports span multiple radiation modalities, including brachytherapy, electron beam radiation, and photon radiation. In this review, we describe the advantages and disadvantages of commonly used radiation techniques and highlight their efficacy in keloid management. RESULTS:Electron beam radiation and high-dose rate brachytherapy are the two most commonly used modalities for adjuvant radiotherapeutic management of keloids and can provide effective keloid control but may be suited for different kinds of keloid growth patterns. Increasing biologically equivalent dose (BED) likely improves rates of control, though the clinical significance of this finding remains to be elucidated. Though radiation treatments are associated with acute and chronic side effects, the risk of developing a secondary malignancy is minimal. CONCLUSIONS:While radiation therapy is a promising modality for treating keloids, more studies of a prospective, randomized nature are needed to standardize its utility.

Current breast cancer care involves a multidisciplinary clinical approach for diagnosis and treatment including input from radiology, surgery, pathology, radiation, and medical oncology. Radiation is an integral part of the treatment for locoregionally confined breast cancer, and has well-recognized long-term risks of secondary malignancies, such as angiosarcomas. Basal cell carcinoma (BCC), a common skin malignancy, is not typically considered a radiation-induced carcinoma following breast cancer treatment. Our recent experience with 4 patients with vastly different presentations of BCC in previous radiation fields prompts the current report in order to alert clinicians to this entity.

Importance/UNASSIGNED:Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accuracy and consistency of wound area and PGT measurement, while improving efficiency of wound care workflows. Objective/UNASSIGNED:To develop a quantitative and qualitative method to evaluate AI-based wound assessment tools compared with expert human assessments. Design, Setting, and Participants/UNASSIGNED:This diagnostic study was performed across 2 independent wound centers using deidentified wound photographs collected for routine care (site 1, 110 photographs taken between May 1 and 31, 2018; site 2, 89 photographs taken between January 1 and December 31, 2019). Digital wound photographs of patients were selected chronologically from the electronic medical records from the general population of patients visiting the wound centers. For inclusion in the study, the complete wound edge and a ruler were required to be visible; circumferential ulcers were specifically excluded. Four wound specialists (2 per site) and an AI-based wound assessment service independently traced wound area and granulation tissue. Main Outcomes and Measures/UNASSIGNED:The quantitative performance of AI tracings was evaluated by statistically comparing error measure distributions between test AI traces and reference human traces (AI vs human) with error distributions between independent traces by 2 humans (human vs human). Quantitative outcomes included statistically significant differences in error measures of false-negative area (FNA), false-positive area (FPA), and absolute relative error (ARE) between AI vs human and human vs human comparisons of wound area and granulation tissue tracings. Six masked attending physician reviewers (3 per site) viewed randomized area tracings for AI and human annotators and qualitatively assessed them. Qualitative outcomes included statistically significant difference in the absolute difference between AI-based PGT measurements and mean reviewer visual PGT estimates compared with PGT estimate variability measures (ie, range, standard deviation) across reviewers. Results/UNASSIGNED:A total of 199 photographs were selected for the study across both sites; mean (SD) patient age was 64 (18) years (range, 17-95 years) and 127 (63.8%) were women. The comparisons of AI vs human with human vs human for FPA and ARE were not statistically significant. AI vs human FNA was slightly elevated compared with human vs human FNA (median [IQR], 7.7% [2.7%-21.2%] vs 5.7% [1.6%-14.9%]; P < .001), indicating that AI traces tended to slightly underestimate the human reference wound boundaries compared with human test traces. Two of 6 reviewers had a statistically higher frequency in agreement that human tracings met the standard area definition, but overall agreement was moderate (352 yes responses of 583 total responses [60.4%] for AI and 793 yes responses of 1166 total responses [68.0%] for human tracings). AI PGT measurements fell in the typical range of variation in interreviewer visual PGT estimates; however, visual PGT estimates varied considerably (mean range, 34.8%; mean SD, 19.6%). Conclusions and Relevance/UNASSIGNED:This study provides a framework for evaluating AI-based digital wound assessment tools that can be extended to automated measurements of other wound features or adapted to evaluate other AI-based digital image diagnostic tools. As AI-based wound assessment tools become more common across wound care settings, it will be important to rigorously validate their performance in helping clinicians obtain accurate wound assessments to guide clinical care.

Hidradenitis suppurativa (HS) is a severe chronic inflammatory skin disease affecting human apocrine sweat gland-bearing skin regions. The overall prevalence of HS ranges from 0.05-4.1% with higher occurrence among females and African Americans, and strong associations with smoking and obesity. One unique feature of HS is the development of highly immunogenic keratinized sinus tracts that grow deeply in the dermis which further complicate HS pathogenesis and treatment. Using single cell transcriptomic analyses, we finely dissected different epidermal cell types in the HS lesional skin and revealed significant dysregulation of skin barrier function in the sinus tracts. We demonstrated that sinus tract keratinocytes exhibit dual cell fates of surface epidermis and skin appendages, and derived from progenitors in infundibulum of the apocrine-pilosebaceous unit. By analyzing ligand-receptor expressions between different skin appendages and immune cells, we highlighted Th17 and TNF responses at early and late stages during HS progression, respectively. Our work provides unprecedented understanding of pathological epidermal remodeling in human inflammatory diseases and important implications for therapeutics.
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Hidradenitis suppurativa (HS) is a severe chronic inflammatory skin disease lacking effective therapeutic options due to little understanding of the complex immune response within the lesional skin. Using single-cell transcriptomic analyses, we examined the signature changes in each immune cell types during HS progression, as well as in silico ligand-receptor predictions between different immune cell types to construct the interaction network that contribute to HS pathogenesis. Our results revealed a predominant Th17 response, as well as a distinct regulatory T cells existing in the lesional skin. We found that M1-polarized macrophages likely facilitate chemotaxis and IL1B responses in perilesional skin, while regulate lymphocyte activation and tissue remodeling in the lesional skin. In addition, we identified a significant increase of CCR7 expressing dendritic cells, as well as activated stromal fibroblasts expressing CCR7-ligand CCL19, which together support the organization of tertiary lymphoid organ (TLO)-like aggregates that contribute to persistent local inflammation. Importantly, we demonstrated a dense infiltration of plasma cells near sinus tracts, and that clonal expansion of the plasma cells frequently exists in HS patients. Together, our work provides a comprehensive understanding of immune responses and cytokine networks defining disease chronicity in HS, as well as significant implications for future therapeutics.
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BACKGROUND:Occipital neuralgia (ON) is a primary headache disorder characterized by severe, paroxysmal, shooting or stabbing pain in the distribution of the greater occipital, lesser occipital, and/or third occipital nerves. Both medical and surgical options exist for treating headaches related to ON. The purposes of this study are to summarize the current state of surgical ON management through a systematic review of the literature and, in doing so, objectively identify future directions of investigation. METHODS:We performed a systematic review of primary literature on surgical management for ON of at least level IV evidence. Included studies were analyzed for level of evidence, therapeutic intervention, study design, sample size, follow-up duration, outcomes measured, results, and risk of bias. RESULTS:Twenty-two studies met the inclusion criteria. All 22 studies used patient-reported pain scores as an outcome metric. Other outcome metrics included complication rates (7 studies; 32%), patient satisfaction (7 studies; 32%), quality of life (7 studies; 18%), and analgesic usage (3 studies; 14%). Using the ROBINS-I tool for risk of bias in nonrandomized studies, 7 studies (32%) were found to be at critical risk of bias, whereas the remaining 15 studies (68%) were found to be at serious risk of bias. CONCLUSIONS:Greater occipital nerve decompression seems to be a useful treatment modality for medically refractory ON, but further prospective, randomized data are required.

BACKGROUND:The coronavirus disease 2019 (COVID-19) global pandemic has led to a halt in elective surgeries throughout the United States and many other countries throughout the world. Early reports suggest that COVID-19 patients undergoing surgery have an increased risk of requiring intensive care unit (ICU) admission and overall mortality. MATERIALS AND METHODS/METHODS:A retrospective review was performed of all COVID-19, positive with polymerase chain reaction confirmation, patients who had surgery between February 17, 2020 and April 26, 2020 at a major New York City hospital. Clinical characteristics and outcomes including ICU admission, ventilator requirement, and mortality were analyzed. RESULTS:Thirty-nine COVID-19 surgical patients were identified. Mean age was 53.9 y, and there were more men than women in the cohort (56.4% versus 43.6%). Twenty-two patients (56.4%) had a confirmed positive COVID-19 test preoperatively, and the remainder tested positive after their procedure. The majority (59%) of patients had an American Society of Anesthesiologists (ASA) class of 3 or higher. Postoperatively, 7 patients (17.9%) required ICU level care with a mean length of stay of 7.7 d. There were 4 deaths (10.3%) in this patient population, all of which occurred in patients who were ASA class 3 or 4. CONCLUSIONS:This study represents the largest study to date, that objectively analyzes the outcomes of COVID-19 positive patients who underwent surgery. Overall, ICU admission rates and mortality are similar to reported rates in the literature for nonsurgical COVID-19 patients. Notably, in COVID-19 patients with ASA 1 or 2, there was a 0% mortality rate in the postoperative period.