Cendakimab in Patients With Moderate to Severe Atopic Dermatitis: A Randomized Clinical Trial.

Importance: Cendakimab selectively targets interleukin (IL)-13, a type 2 cytokine implicated in atopic dermatitis (AD) pathogenesis, by inhibiting binding to its receptors (IL13R-α1 and IL13R-α2). Proof-of-concept work in AD supports using cendakimab for type 2 inflammatory diseases. Objective: To evaluate the efficacy and safety of cendakimab compared with placebo in patients with moderate to severe AD. Design, Setting, and Participants: This phase 2, randomized, double-blind, placebo-controlled, parallel-group, dose-ranging clinical trial was conducted from May 2021 to November 2022. Adult patients with moderate to severe AD and inadequate response to topical medications were enrolled at 69 sites in 5 countries (US [n = 26], Japan [n = 17], Canada [n = 9], Poland [n = 9], and Czech Republic [n = 8]). Data were analyzed between April 25, 2023, and October 16, 2023. Interventions: Patients were randomized (1:1:1:1) to receive subcutaneous cendakimab, 360 mg, every 2 weeks; 720 mg, every 2 weeks; 720 mg, once weekly; or placebo. Main Outcome and Measure: Mean percentage change in Eczema Area and Severity Index scores from baseline to week 16. Hierarchical testing with multiplicity adjustment was performed for 720 mg, once weekly vs placebo, then 720 mg, every 2 weeks vs placebo, and then 360 mg, every 2 weeks vs placebo. Results: Overall, 221 patients were randomized, and 220 received study drug (95 women [43%]; mean [SD] age, 37.7 [13.9] years; 720 mg, once weekly [54 (24%)]; 720 mg, every 2 weeks [55 (25%)]; 360 mg, every 2 weeks [55 (25%)]; placebo [56 (26%)]). The primary efficacy end point was met for cendakimab, 720 mg, once weekly vs placebo (-84.4 vs -62.7; P = .003) but missed statistical significance for 720 mg, every 2 weeks (-76.0 vs -62.7; P = .06). The treatment effect for 360 mg, every 2 weeks (-16.3; nominal P = .03 vs placebo) was comparable with 720 mg, once weekly (-21.8); however, significance was not claimed because the hierarchical testing sequence was interrupted. Of patients with treatment-emergent adverse events leading to discontinuation, 4 (7.4%) received 720 mg, once weekly; 2 (3.6%) 720 mg, every 2 weeks; 1 (1.8%) 360 mg, every 2 weeks; and 2 (3.6%) placebo. Conclusions and Relevance: The results of this randomized clinical trial indicated that cendakimab was effective, generally safe, and well-tolerated in patients with moderate to severe AD. The primary end point was met with a significant reduction in Eczema Area and Severity Index scores with 720 mg, once weekly at week 16. Cendakimab demonstrated progressive AD improvement at all doses during 16 weeks of treatment. Trial Registration: ClinicalTrials.gov Identifier: NCT04800315.

Addition of constitutional symptoms to the SLEDAI-2K improves overall disease activity assessment: A pilot study.

OBJECTIVE: Constitutional symptoms (fatigue, lymphadenopathy, and weight loss) are not included in the SLE disease activity index-2000 (SLEDAI-2K). In this pilot study, we assessed the concurrent and construct validity of a revised SLEDAI-2K (SLED-R) that included these symptoms with the original SLEDAI-2K (SLED-O), using the physician global assessment of disease activity (PGA) as the reference. METHODS: Our revised SLED-R substituted the SLED-O's fever descriptor with a constitutional descriptor that included fever, fatigue, lymphadenopathy, and/or weight loss. SLED-O, SLED-R, PGA and patient global assessment (PtGA) scores were collected prospectively. Bland-Altman correlations for repeated measures were calculated and Meng's z-test was used to compare correlations between dependent and overlapping correlation coefficients. Associations between constitutional symptoms and disease activity measures were analyzed using Mann-Whitney U, Kruskal-Wallis, Chi-square tests and repeated measures correlations. RESULTS: 1123 SLED-O, SLED-R, PGA, and 1066 PtGA were collected in 239 subjects. The new descriptor was scored in 45 subjects (18.8%) and 92 instances (8.1%), while the original descriptor, fever, was scored in only 4 subjects (1.7%) and 5 instances (0.4%). Mean SLED-O, PGA and PtGA scores were higher when the constitutional descriptor was scored versus not (p < .001). The correlation between SLED-R and PGA was marginally higher than between SLED-O and PGA (p < .001). Fatigue contributed most to this increase (p = .001) and associated with both higher PGA and PtGA scores (p < .001). Mean SLED-O and PGA scores were higher when ≥1 constitutional symptom(s) were scored versus not (p < .002). Correlations between PGA and PtGA when the new descriptor was scored versus not were similar (p = .860). The frequency of concordance between PGA and PtGA was lower when the new descriptor was scored (55%) versus not (72.5%), with PGA > PtGA when the new descriptor was scored (p < .001). CONCLUSION: The addition of constitutional symptoms to SLEDAI-2K, particularly fatigue, resulted in a marginal increase in its correlation with PGA, and new constitutional symptoms associated with higher SLED-O and PGA scores. As fatigue is subjective and difficult to attribute to SLE, its validity and inter-rater reliability in scoring remains uncertain. The clinical utility of SLED-R remains unclear, and further studies of its validity and reliability are needed.

Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.

OBJECTIVES: Deep learning-based auto-segmentation of head and neck cancer (HNC) tumors is expected to have better reproducibility than manual delineation. Positron emission tomography (PET) and computed tomography (CT) are commonly used in tumor segmentation. However, current methods still face challenges in handling whole-body scans where a manual selection of a bounding box may be required. Moreover, different institutions might still apply different guidelines for tumor delineation. This study aimed at exploring the auto-localization and segmentation of HNC tumors from entire PET/CT scans and investigating the transferability of trained baseline models to external real world cohorts. METHODS: We employed 2D Retina Unet to find HNC tumors from whole-body PET/CT and utilized a regular Unet to segment the union of the tumor and involved lymph nodes. In comparison, 2D/3D Retina Unets were also implemented to localize and segment the same target in an end-to-end manner. The segmentation performance was evaluated via Dice similarity coefficient (DSC) and Hausdorff distance 95th percentile (HD95). Delineated PET/CT scans from the HECKTOR challenge were used to train the baseline models by 5-fold cross-validation. Another 271 delineated PET/CTs from three different institutions (MAASTRO, CRO, BERLIN) were used for external testing. Finally, facility-specific transfer learning was applied to investigate the improvement of segmentation performance against baseline models. RESULTS: Encouraging localization results were observed, achieving a maximum omnidirectional tumor center difference lower than 6.8 cm for external testing. The three baseline models yielded similar averaged cross-validation (CV) results with a DSC in a range of 0.71-0.75, while the averaged CV HD95 was 8.6, 10.7 and 9.8 mm for the regular Unet, 2D and 3D Retina Unets, respectively. More than a 10% drop in DSC and a 40% increase in HD95 were observed if the baseline models were tested on the three external cohorts directly. After the facility-specific training, an improvement in external testing was observed for all models. The regular Unet had the best DSC (0.70) for the MAASTRO cohort, and the best HD95 (7.8 and 7.9 mm) in the MAASTRO and CRO cohorts. The 2D Retina Unet had the best DSC (0.76 and 0.67) for the CRO and BERLIN cohorts, and the best HD95 (12.4 mm) for the BERLIN cohort. CONCLUSION: The regular Unet outperformed the other two baseline models in CV and most external testing cohorts. Facility-specific transfer learning can potentially improve HNC segmentation performance for individual institutions, where the 2D Retina Unets could achieve comparable or even better results than the regular Unet.

LINE-1 hypomethylation is associated with poor outcomes in locoregionally advanced oropharyngeal cancer.

BACKGROUND AND PURPOSE: Currently, human papillomavirus (HPV) positivity represents a strong prognostic factor for both reduced risk of relapse and improved survival in patients with oropharyngeal squamous cell carcinoma (OPSCC). However, a subset of HPV-positive OPSCC patients still experience poor outcomes. Furthermore, HPV-negative OPSCC patients, who have an even higher risk of relapse, are still lacking suitable prognostic biomarkers for clinical outcome. Here, we evaluated the prognostic value of LINE-1 methylation level in OPSCC patients and further addressed the relationship between LINE-1 methylation status and p53 protein expression as well as genome-wide/gene-specific DNA methylation. RESULTS: In this study, DNA was extracted from 163 formalin-fixed paraffin-embedded tissue samples retrospectively collected from stage III-IVB OPSCC patients managed with curative intent with up-front treatment. Quantitative methylation-specific PCR revealed that LINE-1 hypomethylation was directly associated with poor prognosis (5-year overall survival-OS: 28.1% for LINE-1 methylation < 35% vs. 69.1% for ≥ 55%; p < 0.0001). When LINE-1 methylation was dichotomized as < 55% versus ≥ 55%, interaction with HPV16 emerged: compared with hypermethylated HPV16-positive patients, subjects with hypomethylated HPV16-negative OPSCC reported an adjusted higher risk of death (HR 4.83, 95% CI 2.24-10.38) and progression (HR 4.54, 95% CI 2.18-9.48). Tumor protein p53 (TP53) gene is often mutated and overexpressed in HPV-negative OPSCC. Since p53 has been reported to repress LINE-1 promoter, we then analyzed the association between p53 protein expression and LINE-1 methylation levels. Following p53 immunohistochemistry, results indicated that among HPV16-negative patients with p53 ≥ 50%, LINE-1 methylation levels declined and remained stable at approximately 43%; any HPV16-positive patient reported p53 ≥ 50%. Finally, DNA methylation analysis demonstrated that genome-wide average methylation level at cytosine-phosphate-guanine sites was significantly lower in HPV16-negative OPSCC patients who relapsed within two years. The subsequent integrative analysis of gene expression and DNA methylation identified 20 up-regulated/hypomethylated genes in relapsed patients, and most of them contained LINE-1 elements in their promoter sequences. CONCLUSIONS: Evaluation of the methylation level of LINE-1 may help in identifying the subset of OPSCC patients with bad prognosis regardless of their HPV status. Aberrant LINE-1 hypomethylation might occur along with TP53 mutations and lead to altered gene expression in OPSCC.

Radiation recall dermatitis induced by COVID-19 vaccination in breast cancer patients treated with postoperative radiation therapy.

BACKGROUND: and purpose: Radiation recall dermatitis is an adverse event predominantly due to systemic therapy administration after a previous radiation therapy course. Few case reports describe radiation recall dermatitis in breast cancer patients treated with postoperative radiation therapy following COVID-19 vaccination. In this study we investigated the incidence and severity of radiation recall dermatitis after COVID-19 vaccination in irradiated breast cancer patients. METHODS: Patients that received at least one COVID-19 vaccination dose during the year after the end of postoperative breast radiation therapy were included in this observational monocentric study. Local symptoms occurring inside the radiation field after vaccination were patient-reported and scored according to the PRO-CTCAE questionnaire. Descriptive data of radiation recall dermatitis incidence and severity, and potential risk factors were evaluated. RESULTS: A cohort of 361 patients with 756 administered COVID-19 vaccinations was analyzed. Breast symptoms were reported by 7.5% of patients, while radiation recall dermatitis was considered for 5.5%. The incidence of radiation recall dermatitis per single dose of vaccine was 2.6%, with a higher risk for the first dose compared to the second/third (4.4% vs 1%, p = 0.003), especially when administered within the first month after the end of irradiation (12.5% vs 2.2%, p = 0.0004). Local symptoms were generally self-limited and a few cases required anti-inflammatory drugs. CONCLUSIONS: Radiation recall dermatitis is an uncommon but not rare phenomenon in breast cancer patients that received COVID-19 vaccination within one year after breast irradiation. However, symptoms severity were generally low/mild and reversible. These findings can be useful for patient counseling.

Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.

OBJECTIVES: Recent studies have shown that deep learning based on pre-treatment positron emission tomography (PET) or computed tomography (CT) is promising for distant metastasis (DM) and overall survival (OS) prognosis in head and neck cancer (HNC). However, lesion segmentation is typically required, resulting in a predictive power susceptible to variations in primary and lymph node gross tumor volume (GTV) segmentation. This study aimed at achieving prognosis without GTV segmentation, and extending single modality prognosis to joint PET/CT to allow investigating the predictive performance of combined- compared to single-modality inputs. METHODS: We employed a 3D-Resnet combined with a time-to-event outcome model to incorporate censoring information. We focused on the prognosis of DM and OS for HNC patients. For each clinical endpoint, five models with PET and/or CT images as input were compared: PET-GTV, PET-only, CT-GTV, CT-only, and PET/CT-GTV models, where -GTV indicates that the corresponding images were masked using the GTV contour. Publicly available delineated CT and PET scans from 4 different Canadian hospitals (293) and the MAASTRO clinic (74) were used for training by 3-fold cross-validation (CV). For independent testing, we used 110 patients from a collaborating institution. The predictive performance was evaluated via Harrell's Concordance Index (HCI) and Kaplan-Meier curves. RESULTS: In a 5-year time-to-event analysis, all models could produce CV HCIs with median values around 0.8 for DM and 0.7 for OS. The best performance was obtained with the PET-only model, achieving a median testing HCI of 0.82 for DM and 0.69 for OS. Compared with the PET/CT-GTV model, the PET-only still had advantages of up to 0.07 in terms of testing HCI. The Kaplan-Meier curves and corresponding log-rank test results also demonstrated significant stratification capability of our models for the testing cohort. CONCLUSION: Deep learning-based DM and OS time-to-event models showed predictive capability and could provide indications for personalized RT. The best predictive performance achieved by the PET-only model suggested GTV segmentation might be less relevant for PET-based prognosis.

Tissue and circulating PD-L2: moving from health and immune-mediated diseases to head and neck oncology.

Amongst the chief targets of immune-checkpoint inhibitors (ICIs), namely the Programmed cell death protein 1 (PD-1)/PD-Ligands (Ls) axis, most research has focused on PD-L1, while to date PD-L2 is still under-investigated. However, emerging data support PD-L2 relevant expression in malignancies of the head and neck area, mostly in head and neck squamous cell carcinoma (HNSCC) and salivary gland cancers (SGCs). In this context, ICIs have achieved highly heterogeneous outcomes, emphasizing an urgent need for the identification of predictive biomarkers. With the present review, we aimed at describing PD-L2 biological significance by focusing on its tissue expression, its binding to PD-1 and RGMb receptors, and its impact on physiological and anti-cancer immune response. Specifically, we reported PD-L2 expression rates and significant clinical correlates among different head and neck cancer histotypes. Finally, we described the biology of soluble PD-L2 form and its potential application as a prognostic and/or predictive circulating biomarker.

Prevalence of occult nodal metastases in squamous cell carcinoma of the temporal bone: a systematic review and meta-analysis.

PURPOSE: Primary: To determine the rate of occult cervical metastases in primary temporal bone squamous cell carcinomas (TBSSC). Secondary: to perform a subgroup meta-analysis of the risk of occult metastases based on the clinical stage of the tumour and its risk based on corresponding levels of the neck. METHODS: A systematic review and meta-analysis of papers searched through Medline, Cochrane, Embase, Scopus and Web of Science up to November 2021 to determine the pooled rate of occult lymph node/parotid metastases. Quality assessment of the included studies was assessed through the Newcastle-Ottawa scale. RESULTS: Overall, 13 out of 3301 screened studies met the inclusion criteria, for a total of 1120 patients of which 550 had TBSCC. Out of the 267 patients who underwent a neck dissection, 33 had positive lymph nodes giving a pooled rate of occult metastases of 14% (95% CI 10-19%). Occult metastases rate varied according to Modified Pittsburg staging system, being 0% (0-16%) among 12 pT1, 7% (2-20%) among 43 pT2 cases, 21% (11-38%) among 45 pT3, and 18% (11-27%) among 102 pT4 cases. Data available showed that most of the positive nodes were in Level II. CONCLUSION: The rate of occult cervical metastases in TBSCC increases with pathological T category with majority of nodal disease found in level II of the neck.

Knee Arthrocentesis in Adults.

Arthrocentesis of the knee is a procedure in which a needle is inserted into the knee joint, and synovial fluid is aspirated. An arthrocentesis can be diagnostic or therapeutic. Synovial fluid may be removed for testing to determine the nature of the knee effusion. If septic arthritis is suspected, urgent arthrocentesis before initiation of antibiotic treatment is indicated. Moreover, arthrocentesis can also aid in diagnosing crystal-induced arthritis such as gout or pseudogout, or non-inflammatory arthritis such as osteoarthritis. Identifying the cause of the knee effusion can guide treatment. Furthermore, removing fluid from a knee can reduce intraarticular pressure to decrease pain and improve range of motion. There is no absolute contraindication to performing this procedure, but in selecting the needle entry site, an area of skin that is infected should be avoided. Therefore, caution should be exercised when a patient presents with suspected cellulitis over the knee joint to avoid the potential risk of causing iatrogenic septic arthritis. A knee that has undergone arthroplasty should be assessed for arthrocentesis by an orthopedic surgeon. Arthrocentesis of the knee is typically performed with the patient supine. The site for needle insertion is marked, and then the skin is disinfected. After a local anesthetic is administered, a needle is inserted along the pathway that was anesthetized. Synovial fluid is aspirated, and then the needle is withdrawn. Pressure is applied until any bleeding stops. The synovial fluid can be analyzed for infection and inflammation but cannot directly confirm a diagnosis of internal derangement or autoimmune causes of arthritis. In addition to the history and physical examination, laboratory findings and imaging can clarify the etiology of a knee effusion.

Use of Monoclonal Antibodies Therapy for Treatment of Mild to Moderate COVID-19 in 4 Patients with Rheumatologic Disorders.

BACKGROUND The use of monoclonal antibodies therapy (MAT) in early mild to moderate Coronavirus disease 2019 (COVID-19) has gained importance in recent times. However, there is limited information on the safety and efficacy of MAT in treating COVID-19 in patients with underlying rheumatologic diseases. Patients with rheumatologic diseases are usually on long-term corticosteroids and immunosuppressive therapy, which increases their risk for progressing to more severe forms of COVID-19. We report a case series of 4 patients with rheumatologic diseases who were treated with MAT for COVID-19. MATERIAL AND METHODS A retrospective observational study was conducted in our institution on patients with underlying rheumatological disorders who received MAT as per the EUA protocol of the FDA. RESULTS Two of the 4 patients were on immunosuppresive therapy at the time of receiving MAT. They recovered from COVID-19 without any adverse outcomes. No flare of underlying rheumatologic disease was noted. CONCLUSIONS MAT was observed to be a safe and effective therapy in 4 patients with rheumatological illnesses and COVID-19 treated at our hospital.

Cetuximab in locally advanced head and neck squamous cell carcinoma: Biological mechanisms involved in efficacy, toxicity and resistance.

Since its introduction, the use of cetuximab in the treatment of head and neck squamous cell carcinoma (HNSCC) has experienced an evolution. Currently, cetuximab associated with radiotherapy is limited to the treatment of patients affected by a locally advanced malignancy and unfit for cisplatin. However, reliable biomarkers of cetuximab efficacy in this cancer setting are still lacking. This review focuses on the mechanisms of action of cetuximab, highlighting, in particular, the consequences of the binding to EGFR, and the pathways involved in the development of adverse events or acquired resistance. Indeed, adverse events, such as skin rash, have been associated with cetuximab efficacy in HNSCC several times. Acquired resistance is associated with microenvironment plasticity, which is, in turn, characterized by an increased immune infiltrate. The better definition of patients eligible for this kind of therapy could improve HNSCC management, possibly proposing a combined treatment with radiotherapy, cetuximab and immune checkpoint inhibitors as recently investigated.

miR-9 modulates and predicts the response to radiotherapy and EGFR inhibition in HNSCC.

Radiotherapy (RT) plus the anti-EGFR monoclonal antibody Cetuximab (CTX) is an effective combination therapy for a subset of head and neck squamous cell carcinoma (HNSCC) patients. However, predictive markers of efficacy are missing, resulting in many patients treated with disappointing results and unnecessary toxicities. Here, we report that activation of EGFR upregulates miR-9 expression, which sustains the aggressiveness of HNSCC cells and protects from RT-induced cell death. Mechanistically, by targeting KLF5, miR-9 regulates the expression of the transcription factor Sp1 that, in turn, stimulates tumor growth and confers resistance to RT+CTX in vitro and in vivo. Intriguingly, high miR-9 levels have no effect on the sensitivity of HNSCC cells to cisplatin. In primary HNSCC, miR-9 expression correlated with Sp1 mRNA levels and high miR-9 expression predicted poor prognosis in patients treated with RT+CTX. Overall, we have discovered a new signaling axis linking EGFR activation to Sp1 expression that dictates the response to combination treatments in HNSCC. We propose that miR-9 may represent a valuable biomarker to select which HNSCC patients might benefit from RT+CTX therapy.

Atypical Sjögren's Syndrome Initially Presenting as Lymphocytic Interstitial Pneumonitis followed by Immune Thrombocytopenia.

BACKGROUND: Sjögren's syndrome is an autoimmune disease characterized primarily by decreased exocrine gland function leading to eye and mouth dryness. Extraglandular manifestations occur less frequently. Case Report. A 74-year-old man with hypertension was admitted with productive cough and fever. On physical examination, he had bilateral lower lung decreased breath sounds. A chest radiograph showed bibasilar patchy infiltrate. Laboratory studies revealed hemoglobin of 11.9 g/dL, white blood cell count of 16,000/uL, and platelet count of 250,000/uL. Empiric antibiotic therapy was begun for suspected community acquired pneumonia, and then he was discharged home. However, his cough recurred. Chest computed tomography demonstrated adenopathy throughout the mediastinum and multiple ill-defined patchy groundglass opacities with a lower lobe prominence. He underwent a transbronchial biopsy to rule out malignancy; however, it showed lymphocytic interstitial pneumonitis. Antinuclear antibody was 1 : 80 homogeneous, and anti-SSA antibody was 6.3 AI (normal <1.0 AI). The patient was treated with prednisone 20 mg/day with marked improvement in his symptoms. Repeat chest computed tomography showed decreased groundglass opacities and decreased mediastinal lymph nodes. After more than a year, he was readmitted due to petechiae on his buccal mucosa and a platelet count of 2000/µL. The patient was started on prednisone 80 mg/d and intravenous immunoglobulin 80 g/d for 2 consecutive days. The platelet count eventually increased to 244,000/µL. CONCLUSION: We report a rare presentation of Sjogren's syndrome manifesting as acute lymphocytic interstitial pneumonitis and followed by immune thrombocytopenia. Both extraglandular manifestations responded well to corticosteroid therapy.

Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy.

BACKGROUND: The Prognostic Nutritional Index (PNI) is a parameter of nutritional and inflammation status related to toxicity in cancer treatment. Since data for head and neck cancer are scanty, this study aims to investigate the association between PNI and acute and late toxicity for this malignancy. METHODS: A retrospective cohort of 179 head and neck cancer patients treated with definitive radiotherapy with induction/concurrent chemotherapy was followed-up (median follow-up: 38 months) for toxicity and vital status between 2010 and 2017. PNI was calculated according to Onodera formula and low/high PNI levels were defined according to median value. Odds ratio (OR) for acute toxicity were calculated through logistic regression model; hazard ratios (HR) for late toxicity and survival were calculated through the Cox proportional hazards model. RESULTS: median PNI was 50.0 (interquartile range: 45.5-53.5). Low PNI was associated with higher risk of weight loss > 10% during treatment (OR = 4.84, 95% CI: 1.73-13.53 for PNI < 50 versus PNI ≥ 50), which was in turn significantly associated with worse overall survival, and higher risk of late mucositis (HR = 1.84; 95% CI:1.09-3.12). PNI predicts acute weight loss >10% and late mucositis. CONCLUSIONS: PNI could help clinicians to identify patients undergoing radiotherapy who are at high risk of acute and late toxicity.

Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.

Deep learning models based on medical images play an increasingly important role for cancer outcome prediction. The standard approach involves usage of convolutional neural networks (CNNs) to automatically extract relevant features from the patient's image and perform a binary classification of the occurrence of a given clinical endpoint. In this work, a 2D-CNN and a 3D-CNN for the binary classification of distant metastasis (DM) occurrence in head and neck cancer patients were extended to perform time-to-event analysis. The newly built CNNs incorporate censoring information and output DM-free probability curves as a function of time for every patient. In total, 1037 patients were used to build and assess the performance of the time-to-event model. Training and validation was based on 294 patients also used in a previous benchmark classification study while for testing 743 patients from three independent cohorts were used. The best network could reproduce the good results from 3-fold cross validation [Harrell's concordance indices (HCIs) of 0.78, 0.74 and 0.80] in two out of three testing cohorts (HCIs of 0.88, 0.67 and 0.77). Additionally, the capability of the models for patient stratification into high and low-risk groups was investigated, the CNNs being able to significantly stratify all three testing cohorts. Results suggest that image-based deep learning models show good reliability for DM time-to-event analysis and could be used for treatment personalisation.

Feasibility and Oncological Outcome of Preoperative Chemoradiation With IMRT Dose Intensification for Locally Advanced Esophageal and Gastroesophageal Cancer.

PURPOSE: To explore the feasibility and efficacy of a dose intensification with Intensity Modulated Radiation Therapy and Simultaneous Integrated Boost (IMRT-SIB) in locally advanced esophageal and gastroesophageal cancer (GEJ). METHODS AND MATERIALS: We retrospectively analyzed a series of 69 patients with esophageal or GEJ cancer treated at our Institute, between 2016 and 2019, with preoperative IMRT and SIB up to 52.5-54 Gy in 25 fractions in 5 weeks and concurrent carboplatin (AUC2) and paclitaxel (50 mg/m2), as in the CROSS regimen. RESULTS: All patients completed the planned IMRT-SIB program with a median of four (range 1-5) cycles of concurrent paclitaxel/carboplatin. Compliance to IMRT-SIB was 93%, whereas 54% of patients received four to five cycles and 87% at least three cycles of concurrent carboplatin/paclitaxel. Grade 3 toxicity was reported in 19% of patients. Complete clinical response (cCR) was achieved in 48%, and 13% had disease progression after chemoradiation (CRT). Overall, 49% of patients underwent surgery; reasons for non-operation included cCR in cervical tumor location (10%) or cCR and patient decision (13%). A pathologic complete response (pCR) was achieved in 44% of resected patients. Postoperative complications and mortality rates were 21 and 6%, respectively. At a median follow-up of 12 months (6-25), 2-year overall and progression-free (PFS) survival rates were 81 and 54%, respectively. No difference in PFS by histologic type in operated patients was reported. Non-operated cCR patients had higher PFS, including cervical locations and selected cCR patients who decided for non-operation (75 vs 30%, p < 0.01). CONCLUSION: The study reported favorable results in safety and feasibility of the IMRT-SIB dose intensification in our preoperative CRT program. The toxicity was acceptable, allowing a high compliance to intensified radiation doses with dose reduction of concurrent paclitaxel/carboplatin in some patients. The high rate of cCR and pCR suggested this intensified program is effective in the preoperative CRT and, for selected responsive patients, in the non-operative approach to esophageal and GEJ cancer. The 2-year survival rates were promising. A prospective study is being planned to confirm these observations.

A pre-operative prognostic score for the selection of patients for salvage surgery after recurrent head and neck squamous cell carcinomas.

Salvage surgery in recurrent head and neck squamous cell carcinoma has a poor outcome, both in terms of survival and quality of life. Therefore, the identification of pre-operative prognostic factors to improve the selection of patients who could benefit the most from salvage surgery is clinically relevant. The present study is a single-center retrospective analysis of 164 patients treated with salvage surgery after recurrence of head and neck cancer. Progression free survival and overall survival were calculated through Kaplan-Meier method. Hazard risk (HR) and corresponding confidence intervals (CI) were estimated through Cox proportional hazard model, adjusting for potential confounders. Significant predictors were combined into a prognostic score, attributing one point to each factor. Progression-free survival and overall survival were respectively 50.3% and 56.5% at 2 years, and 36.6% and 44.2% at 5 years. Four pre-operative factors were independently associated with poor prognosis: age > 70 years (HR = 2.18; 95% CI 1.27-3.73), initial stage IV (HR = 2.37; 95% CI 1.18-4.76), disease free interval < 12 months (HR = 1.72; 95% CI 1.01-2.94), and loco-regional recurrence (HR = 2.22; 95% CI 1.22-4.04). No post operative factor was associated with oncologic outcomes. Patients with 3-4 unfavorable factors showed a 5-year overall survival of 0.0% compared to 65.7% in those with 0-1 unfavorable factors (HR = 5.61; 95% CI 2.89-10.92). Despite the low number of patients, 3-4 unfavorable factors were associated to worse prognosis in all sub-sites. In conclusion, age > 70 years, initial stage IV, disease-free interval < 12 months, and loco-regional recurrence are strong independent pre-operative predictors of poor outcome in patients undergoing salvage surgery. Patients with two or more of these factors should be informed about the low success rate after salvage surgery and alternative treatments should be considered.

A Rare Case of Concomitant Septic Arthritis, Osteomyelitis, and Pyomyositis Caused by Salmonella.

A common causative organism in osteomyelitis in sickle cell disease is Salmonella. Septic arthritis and muscle infection due to Salmonella are much less common. We present a case of a 28-year-old woman with sickle cell disease who presented with left shoulder and elbow pain for two days. Physical examination revealed swelling of the left upper arm. The patient was initially treated for a sickle cell pain crisis. On hospital day 4, the patient developed a fever. She empirically started intravenous vancomycin and cefepime before her blood culture showed Salmonella. Subsequently, the antibiotic was changed to ceftriaxone. Synovial fluid analysis of the left shoulder revealed a white blood cell count of 53,250/mm3 with mostly neutrophils, and this led to a presumptive diagnosis of septic arthritis. She underwent a left shoulder arthroscopic irrigation and debridement. The synovial fluid culture was negative. Magnetic resonance imaging (MRI) revealed osteomyelitis in the left humerus, a 4.4 x 5 cm intramuscular abscess near the distal anterior humerus, and pyomyositis. Percutaneous abscess drainage was done. The patient was discharged home on ceftriaxone but returned 12 days later with worsening pain in her shoulder. Repeat MRI showed a complex glenohumeral joint effusion. She had an incision and drainage of her left shoulder. The patient was discharged on an eight-week course of ceftriaxone. Prompt diagnosis and early treatment are essential in reducing the mortality and morbidity associated with these joint, bone, and muscle infections.