The Use of Artificial Intelligence in Head and Neck Cancers: A Multidisciplinary Survey.

Artificial intelligence (AI) approaches have been introduced in various disciplines but remain rather unused in head and neck (H&N) cancers. This survey aimed to infer the current applications of and attitudes toward AI in the multidisciplinary care of H&N cancers. From November 2020 to June 2022, a web-based questionnaire examining the relationship between AI usage and professionals' demographics and attitudes was delivered to different professionals involved in H&N cancers through social media and mailing lists. A total of 139 professionals completed the questionnaire. Only 49.7% of the respondents reported having experience with AI. The most frequent AI users were radiologists (66.2%). Significant predictors of AI use were primary specialty (V = 0.455; p < 0.001), academic qualification and age. AI's potential was seen in the improvement of diagnostic accuracy (72%), surgical planning (64.7%), treatment selection (57.6%), risk assessment (50.4%) and the prediction of complications (45.3%). Among participants, 42.7% had significant concerns over AI use, with the most frequent being the 'loss of control' (27.6%) and 'diagnostic errors' (57.0%). This survey reveals limited engagement with AI in multidisciplinary H&N cancer care, highlighting the need for broader implementation and further studies to explore its acceptance and benefits.

Mapping the research landscape of HPV-positive oropharyngeal cancer: a bibliometric analysis.

OBJECTIVE: The aim of the study is to evaluate the scientific interest, the collaboration patterns and the emerging trends regarding HPV+ OPSCC diagnosis and treatment. MATERIALS AND METHODS: A cross-sectional bibliometric analysis of articles reporting on HPV+ OPSCC within Scopus database was performed and all documents published up to December 31th, 2022 were eligible for analysis. Outcomes included the exploration of key characteristics (number of manuscripts published per year, growth rate, top productive countries, most highly cited papers, and the most well-represented journals), collaboration parameters (international collaboration ratio and networks, co-occurrence networks), keywords analysis (trend topics, factorial analysis). RESULTS: A total of 5200 documents were found, published from March, 1987 to December, 2022. The number of publications increased annually with an average growth rate of 19.94%, reaching a peak of 680 documents published in 2021. The 10 most cited documents (range 1105-4645) were published from 2000 to 2012. The keywords factorial analysis revealed two main clusters: one on epidemiology, diagnosis, prevention and association with other HPV tumors; the other one about the therapeutic options. According to the frequency of keywords, new items are emerging in the last three years regarding the application of Artifical Intelligence (machine learning and radiomics) and the diagnostic biomarkers (circulating tumor DNA). CONCLUSIONS: This bibliometric analysis highlights the importance of research efforts in prevention, diagnostics, and treatment strategies for this disease. Given the urgency of optimizing treatment and improving clinical outcomes, further clinical trials are needed to bridge unaddressed gaps in the management of HPV+ OPSCC patients.

Radiological Versus Clinical 1-Year Outcomes of Dupilumab in Refractory CRSwNP: A Real-Life Study.

OBJECTIVE: To provide real-life evidence on long-term radiological changes in patients with severe chronic rhinosinusitis with nasal polyps (CRSwNP) treated with dupilumab, and to assess possible differences between radiological and clinical results in terms of endoscopic findings and Patient-Reported-Outcomes (PROs). METHODS: Consecutive patients treated with dupilumab for recalcitrant CRSwNP were required to undergo CT scan at baseline (T0) and after 12 (T1) since first administration. A group of patients also performed CT scan at 52 weeks (T2) to assess long-term outcomes. At each timepoint, patients underwent nasal endoscopy, assessment of Nasal-Polyp-Score (NPS), Lund-Kennedy-Score (LKS), and had to fill in the 22-item Sinonasal-Outcome-Test (SNOT-22) and Visual-Analogue-Scales (VAS) for sinonasal symptoms. RESULTS: In fifty-three included patients, from T0 to T1 we detected a significant reduction in mean Lund-Mackay score (LM), PROs (SNOT-22, VAS) and endoscopic (NPS, LKS) scores (p < 0.05). In the subset of patients that reached T2 (n = 30), compared to T1, we observed a further significant decrease in mean LM, SNOT-22, VAS, and NPS scores, but not in LKS (p = 0.420). At T1, the highest improvement was observed in PROs (SNOT-22: 56.26%), and polyp size (NPS: 49.83%). Conversely, between T1 and T2, sinus opacification was shown to be the most improved outcome (LM: 36.86%). CONCLUSIONS: Our experience showed that poorly controlled CRSwNP patients treated with dupilumab experienced significant improvement in radiologic, endoscopic and clinical disease severity. While in the initial 3 months, PROs garnered attention for showing earlier effectiveness, radiological outcomes revealed sustained and gradual efficacy in a longer term. LEVEL OF EVIDENCE: Level 4. According to the Oxford Center for Evidence-Based Medicine 2011 level of evidence guidelines, this non-randomized retrospective cohort study is classified as level 4 evidence Laryngoscope, 134:2626-2633, 2024.

Impact of inter-observer variability on first axillary level dosimetry in breast cancer radiotherapy: An AIRO multi-institutional study.

This study quantified the incidental dose to the first axillary level (L1) in locoregional treatment plan for breast cancer. Eighteen radiotherapy centres contoured L1-L4 on three different patients (P1,2,3), created the L2-L4 planning target volume (single centre planning target volume, SC-PTV) and elaborated a locoregional treatment plan. The L2-L4 gold standard clinical target volume (CTV) along with the gold standard L1 contour (GS-L1) were created by an expert consensus. The SC-PTV was then replaced by the GS-PTV and the incidental dose to GS-L1 was measured. Dosimetric data were analysed with Kruskal-Wallis test. Plans were intensity modulated radiotherapy (IMRT)-based. P3 with 90° arm setup had statistically significant higher L1 dose across the board than P1 and P2, with the mean dose (Dmean) reaching clinical significance. Dmean of P1 and P2 was consistent with the literature (77.4% and 74.7%, respectively). The incidental dose depended mostly on L1 proportion included in the breast fields, underlining the importance of the setup, even in case of IMRT.

Image-Guided Intraoperative Assessment of Surgical Margins in Oral Cavity Squamous Cell Cancer: A Diagnostic Test Accuracy Review.

(1) Background: The assessment of resection margins during surgery of oral cavity squamous cell cancer (OCSCC) dramatically impacts the prognosis of the patient as well as the need for adjuvant treatment in the future. Currently there is an unmet need to improve OCSCC surgical margins which appear to be involved in around 45% cases. Intraoperative imaging techniques, magnetic resonance imaging (MRI) and intraoral ultrasound (ioUS), have emerged as promising tools in guiding surgical resection, although the number of studies available on this subject is still low. The aim of this diagnostic test accuracy (DTA) review is to investigate the accuracy of intraoperative imaging in the assessment of OCSCC margins. (2) Methods: By using the Cochrane-supported platform Review Manager version 5.4, a systematic search was performed on the online databases MEDLINE-EMBASE-CENTRAL using the keywords "oral cavity cancer, squamous cell carcinoma, tongue cancer, surgical margins, magnetic resonance imaging, intraoperative, intra-oral ultrasound". (3) Results: Ten papers were identified for full-text analysis. The negative predictive value (cutoff < 5 mm) for ioUS ranged from 0.55 to 0.91, that of MRI ranged from 0.5 to 0.91; accuracy analysis performed on four selected studies showed a sensitivity ranging from 0.07 to 0.75 and specificity ranging from 0.81 to 1. Image guidance allowed for a mean improvement in free margin resection of 35%. (4) Conclusions: IoUS shows comparable accuracy to that of ex vivo MRI for the assessment of close and involved surgical margins, and should be preferred as the more affordable and reproducible technique. Both techniques showed higher diagnostic yield if applied to early OCSCC (T1-T2 stages), and when histology is favorable.

Analysis of Risk Factors for Tracheal Stenosis Managed during COVID-19 Pandemic: A Retrospective, Case-Control Study from Two European Referral Centre.

INTRODUCTION: Benign subglottic/tracheal stenosis (SG/TS) is a life-threatening condition commonly caused by prolonged endotracheal intubation or tracheostomy. Invasive mechanical ventilation was frequently used to manage severe COVID-19, resulting in an increased number of patients with various degrees of residual stenosis following respiratory weaning. The aim of this study was to compare demographics, radiological characteristics, and surgical outcomes between COVID-19 and non-COVID patients treated for tracheal stenosis and investigate the potential differences between the groups. MATERIALS AND METHODS: We retrospectively retrieved electronical medical records of patients managed at two referral centers for airways diseases (IRCCS Humanitas Research Hospital and Avicenne Hospital) with tracheal stenosis between March 2020 and May 2022 and grouped according to SAR-CoV-2 infection status. All patients underwent a radiological and endoscopic evaluation followed by multidisciplinary team consultation. Follow-up was performed through quarterly outpatient consultation. Clinical findings and outcomes were analyzed by using SPPS software. A significance level of 5% (p < 0.05) was adopted for comparisons. RESULTS: A total of 59 patients with a mean age of 56.4 (±13.4) years were surgically managed. Tracheal stenosis was COVID related in 36 (61%) patients. Obesity was frequent in the COVID-19 group (29.7 ± 5.4 vs. 26.9 ± 3, p = 0.043) while no difference was found regarding age, sex, number, and types of comorbidities between the two groups. In the COVID-19 group, orotracheal intubation lasted longer (17.7 ± 14.5 vs. 9.7 ± 5.8 days, p = 0.001), tracheotomy (80%, p = 0.003) as well as re-tracheotomy (6% of cases, p = 0.025) were more frequent and tracheotomy maintenance was longer (21.5 ± 11.9 days, p = 0.006) when compared to the non-COVID group. COVID-19 stenosis was located more distal from vocal folds (3.0 ± 1.86 vs. 1.8 ± 2.03 cm) yet without evidence of a difference (p = 0.07). The number of tracheal rings involved was lower in the non-COVID group (1.7 ± 1 vs. 2.6 ± 0.8 p = 0.001) and stenosis were more frequently managed by rigid bronchoscopy (74% vs. 47%, p = 0.04) when compared to the COVID-19 group. Finally, no difference in recurrence rate was detected between the groups (35% vs. 15%, p = 0.18). CONCLUSIONS: Obesity, a longer time of intubation, tracheostomy, re-tracheostomy, and longer decannulation time occurred more frequently in COVID-related tracheal stenosis. These events may explain the higher number of tracheal rings involved, although we cannot exclude the direct role of SARS-CoV-2 infection in the genesis of tracheal stenosis. Further studies with in vitro/in vivo models will be helpful to better understand the role of inflammatory status caused by SARS-CoV-2 in upper airways.

Functional outcomes and complications of total glossectomy with laryngeal preservation and flap reconstruction: A systematic review and meta-analysis.

OBJECTIVE: To analyze the functional outcomes and complications of total glossectomy with laryngeal preservation and reconstruction with free or pedicled flaps. METHODS: A search was conducted using Pubmed/MEDLINE, Cochrane Library, Scopus, and Google Scholar databases. A single arm meta-analysis was performed for feeding tube dependence (FTD), tracheostomy dependence (TD), and speech intelligibility (SI) rates. Peri-operative sequels and complications were evaluated as secondary outcomes. RESULTS: A total number of 642 patients (median age: 54.2 years; 95% CI 52.1-58) were included. Functional assessment was performed after a median of 12 months (n = 623/642; 95% CI 10.6-12). Overall, the cumulative FTD rate was 22.9% (n = 188/627; 95% CI 10.2-38.7), the TD rate was 7.3% (n = 95/549; 95% CI 1.9-15.8), and the SI was 91.1% (n = 314/409; 95% CI 80.7%-97.8). The cumulative complication rate was 33.1% (n = 592/642). Eighteen patients (n = 18/592; 3.0%) experienced a major fistula, while aspiration pneumonia occurred in 17 cases (n = 17/592; 2.8%). CONCLUSIONS: Total glossectomy with laryngeal preservation and pedicled/free flaps reconstruction may guarantee good functional results and an acceptable quality of life. Further prospective studies are advised to define clinical guidelines about proper patients' and flaps' selection.

Radiomics-based machine learning for the diagnosis of lymph node metastases in patients with head and neck cancer: Systematic review.

Machine learning (ML) is increasingly used to detect lymph node (LN) metastases in head and neck (H&N) carcinoma. We systematically reviewed the literature on radiomic-based ML for the detection of pathological LNs in H&N cancer. A systematic review was conducted in PubMed, EMBASE, and the Cochrane Library. Baseline study characteristics and methodological quality items (modeling, performance evaluation, clinical utility, and transparency items) were extracted and evaluated. The qualitative synthesis is presented using descriptive statistics. Seven studies were included in this study. Overall, the methodological quality items were generally favorable for modeling (57% of studies). The studies were mostly unsuccessful in terms of transparency (85.7%), evaluation of clinical utility (71.3%), and assessment of generalizability employing independent or external validation (72.5%). ML may be able to predict LN metastases in H&N cancer. Further studies are warranted to improve the generalizability assessment, clinical utility evaluation, and transparency items.

Three-dimensional exoscope-assisted single-stage tracheal resection.

The three-dimensional (3D) 4K exoscope is a surgical tool recently introduced in numerous fields of otolaryngology, such as microvascular surgery, otology, and laryngology. However, other surgical fields may also benefit from this technology. In this case, a single-stage tracheal resection was planned with the aid of the 3D 4K exoscope, in a 75-year-old female with post-tracheostomy tracheal stenosis. High-quality magnification of the surgical field was obtained, with facilitated skeletonization of the laryngotracheal axis. The exoscope provided greater involvement in surgery and allowed more interactions among all operating room personnel and learners, as they could access the same field of view of the first surgeon, as well as perceiving depth of the surgical field with 3D technology. The exoscope represents a valid application in open surgery performed for laryngotracheal stenosis, with advantages of enhancing training and education, allowing precise surgical dissection, and reducing risks of iatrogenic damage to surrounding structures.

Circumferential pharyngeal reconstruction after total laryngopharyngectomy: A systematic review and network meta-analysis.

OBJECTIVE: To compare the functional outcomes of different reconstructive techniques for circumferential pharyngeal reconstruction. METHODS: A comprehensive electronic search was performed on PubMed/MEDLINE, Cochrane Library, and Google Scholar databases. Retrospective and prospective studies were included. Two independent reviewers extracted thirty-four studies after applying the eligibility criteria. An arm-based network analysis was conducted using a Bayesian hierarchical model. The main outcomes were pharyngo-cutaneous fistula (PCF) incidence, stenosis incidence and feeding tube dependence (FTD) incidence. Network estimates from outcome variables were presented as absolute risks, odds ratio [OR] with 95% credible intervals (CIs), and ranking probability. RESULTS: A total of 1357 patients were included for 5 different interventions (tubed pectoralis muscle myocutaneous flap, t-PMMCF; tubed anterolateral tight flap, t-ALTF; tubed radial forearm free flap, t-RFFF; free jejunal flap, FJF; U-shaped pectoralis muscle myocutaneous flap, u-PMMCF). FJF showed a 92.8% chance of ranking first in terms of pharyngo-cutaneous fistula prevention (absolute risk: 10%), while the highest PCF incidence (42%) was measured for t-PMMCF. u-PMMCF showed the lowest absolute risk (11%) of stenosis incidence (62.2% chance of ranking first). t-PMMCF (5%), FJF (8%), and u-PMMCF (8%) showed similar results in terms of feeding tube dependence, with a 53.2%, 23.1% and 18.9% chance of ranking first, respectively. CONCLUSIONS: FJF seems to be the best reconstructive choice after total laryngo-pharyngectomy in terms of PCF, stenosis and FTD incidence. If this reconstructive method is not feasible, a u-PMMCF should be favored over tubed free and pedicled flaps. Further comparative studies are needed to confirm these results.

An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals.

OBJECTIVES: To evaluate the quality of the reports of loco-regional staging computed tomography (CT) or magnetic resonance imaging (MRI) in head and neck (H&N) cancer. METHODS: Consecutive reports of staging CT and MRI of all H&N cancer cases from 2018 to 2020 were collected. We created lists of quality indicators for tumor (T) for each district and for node (N). We marked these as 0 or 1 in the report calculating a report score (RS) and a maximum sum (MS) of each list. Two radiologists and two otolaryngologists in consensus classified reports as low quality (LQ) if the RS fell in the percentage range 0-59% of MS and as high quality (HQ) if it fell in the range 60-100%, annotating technique and district. We evaluated the distribution of reports in these categories. RESULTS: Two hundred thirty-seven reports (97 CT and 140 MRI) of 95 oral cavity, 52 laryngeal, 47 oropharyngeal, 19 hypo-pharyngeal, 14 parotid, and 10 nasopharyngeal cancers were included. Sixty-six percent of all the reports were LQ for T, 66% out of all the MRI reports, and 65% out of all CT reports were LQ. Eight-five percent of reports were HQ for N, 85% out of all the MRI reports, and 82% out of all CT reports were HQ. Reports of oral cavity, oro-nasopharynx, and parotid were LQ, respectively, in 76%, 73%, 100% and 92 out of cases. CONCLUSION: Reports of staging CT/MRI in H&N cancer were LQ for T description and HQ for N description.

A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy.

Clinically relevant postoperative pancreatic fistula (CR-POPF) is a life-threatening complication following pancreaticoduodenectomy (PD). Individualized preoperative risk assessment could improve clinical management and prevent or mitigate adverse outcomes. The aim of this study is to develop a machine learning risk model to predict occurrence of CR-POPF after PD from preoperative computed tomography (CT) scans. A total of 100 preoperative high-quality CT scans of consecutive patients who underwent pancreaticoduodenectomy in our institution between 2011 and 2019 were analyzed. Radiomic and morphological features extracted from CT scans related to pancreatic anatomy and patient characteristics were included as variables. These data were then assessed by a machine learning classifier to assess the risk of developing CR-POPF. Among the 100 patients evaluated, 20 had CR-POPF. The predictive model based on logistic regression demonstrated specificity of 0.824 (0.133) and sensitivity of 0.571 (0.337), with an AUC of 0.807 (0.155), PPV of 0.468 (0.310) and NPV of 0.890 (0.084). The performance of the model minimally decreased utilizing a random forest approach, with specificity of 0.914 (0.106), sensitivity of 0.424 (0.346), AUC of 0.749 (0.209), PPV of 0.502 (0.414) and NPV of 0.869 (0.076). Interestingly, using the same data, the model was also able to predict postoperative overall complications and a postoperative length of stay over the median with AUCs of 0.690 (0.209) and 0.709 (0.160), respectively. These findings suggest that preoperative CT scans evaluated by machine learning may provide a novel set of information to help clinicians choose a tailored therapeutic pathway in patients candidated to pancreatoduodenectomy.

Clinical outcome and quality of life of lacrimal sac mucocele treated via endoscopic posterior approach.

OBJECTIVE: Dacryocystorhinostomy (DCR) is the surgical treatment for lacrimal sac mucoceles (LSM), yet variants of the procedure are several. Since LSM causes bone remodeling and thinning, especially of the lacrimal bone, osteotomy at that site is reasonably the easiest. The aim of the study is to support treatment of LSM via a posterior DCR approach, in a large cohort of cases, and report patients' quality of life after the procedure with validated questionnaires. METHODS: Single-center observational retrospective study on a specific methodology (endoscopic-DCR via posterior approach). Consecutive patients with LSM were enrolled in 2008-2020; CT scans were reviewed, bone thickness was measured bilaterally and compared. Resolution of mucocele, epiphora and infection were analyzed after 6-months. Patients were administered the Munk Score and Lacrimal Symptom Questionnaire (Lac-Q). Statistical analysis was done to compare bone thickness between the two sides; descriptive analysis of the questionnaires results was presented. RESULTS: Forty-four patients with LSM were enrolled. The LSM side showed frontal process thickness of 4.00 ± 1.06 mm (vs 3.90 ± 1.03 on the unaffected side; p = 0.23) and a lacrimal bone of 0.32 ± 0.12 mm (vs 0.41 ± 0.12; p < 0.001). Resolution of infection was achieved in 97.4% cases, anatomical patency in 87.2%. After 5 years, 84.6% of patients reported no relevant epiphora (Munk score 0-1). Social impact (Lac-Q) due to lacrimal malfunctioning was still noted in 30.8% patients. CONCLUSIONS: Adult LSM is a rare condition and DCR remains the mainstay of treatment. LSM physiopathology may support a preferred surgical choice via a posterior approach. Despite objective patency, some lacrimal way malfunctioning may be experienced in a minority of cases.

Discrepancies between UICC and AJCC TNM classifications for oral cavity tumors in the 8th editions and following versions.

PURPOSE: To underline discrepancies between the Union for International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC) Tumor-Node-Metastasis (TNM) classifications in oral cavity cancer. METHODS: Comparison between the UICC and AJCC TNM classifications of oral cavity cancer in their 8th editions and following versions. RESULTS: The most important update was the introduction of the depth of infiltration (DOI), which reflects the proximity of the tumor to the underlying lymphovascular tissues and was associated to the presence of nodal metastases. Since the first publication of the 8th edition of the AJCC Cancer Staging Manual on March 30, 2017, two further versions have been published, while the UICC TNM classification was left unchanged until a document containing modifications to the 8th edition of the UICC TNM Classification of Malignant Tumours was published online on October 6, 2020. CONCLUSION: Different versions of the TNM classification can be confounding for the scientific community. Citing the 8th edition of the UICC TNM Classification of Malignant Tumours or the AJCC Cancer Staging Manual without specifying the precise version used for classification may be insufficient. Clinicians and researchers are invited to always refer to the latest update of each classification.

Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results.

BACKGROUND: A surgical margin is the apparently healthy tissue around a tumor which has been removed. In oral cavity carcinoma, a negative margin is considered ≥ 5 mm, a close margin between 1 and 5 mm, and a positive margin ≤ 1 mm. Currently, the intraoperative surgical margin status is based on the visual inspection and tissue palpation by the surgeon and intraoperative histopathological assessment of the resection margins by frozen section analysis (FSA). FSA technique is limited and susceptible to sampling errors. Definitive information on the deep resection margins requires postoperative histopathological analysis. METHODS: We described a novel approach for the assessment of intraoperative surgical margins by examining a surgical specimen oriented through a 3D-printed specific patient tongue with real-time Magnetic Resonance Imaging (MRI). We reported the preliminary results of a case series of 10 patients, prospectively enrolled, with oral tongue carcinoma who underwent surgery between February 2020 and April 2021. Two radiologists with 5 and 10 years of experience, respectively, in Head and Neck radiology in consensus evaluated specimen MRI and measured the distance between the tumor and the specimen surface. We performed intraoperative bedside FSA. To compare the performance of bedside FSA and MRI in predicting definitive margin status we computed the weighted sensitivity (SE), specificity (SP), accuracy (ACC), area under the ROC curve (AUC), F1-score, Positive Predictive Value (PPV), and Negative Predictive Value (NPV). To express the concordance between FSA and ex-vivo MRI we reported the jaccard index. RESULTS: Intraoperative bedside FSA showed SE of 90%, SP of 100%, F1 of 95%, ACC of 0.9%, PPV of 100%, NPV (not a number), and jaccard of 90%, and ex-vivo MRI showed SE of 100%, SP of 100%, F1 of 100%, ACC of 100%, PPV of 100%, NPV of 100%, and jaccard of 100%. These results needed to be validated in a larger sample size of 21- 44 patients. CONCLUSION: The presented method allows a more accurate evaluation of surgical margin status, and the first clinical experiences underline the high potential of integrating FSA with ex-vivo MRI of the fresh surgical specimen.

Preoperative predictors of difficult oropharyngeal exposure for transoral robotic surgery: The Pharyngoscore.

BACKGROUND: Insufficient exposure may require termination of procedure in transoral robotic surgery (TORS). The aim of study was to develop a "Pharyngoscore" to quantify the risk of difficult oropharyngeal exposure (DOE) before TORS. METHODS: Three-hundred six patients undergoing any surgical procedure at one Academic Hospital were prospectively enrolled. Oropharynx was exposed with Feyh-Kastenbauer retractor. Exposure was evaluated by direct and endoscopic visualization of the four oropharyngeal subsites. Preoperative clinical/anthropometric parameters were studied in good oropharyngeal exposure and DOE groups. Logistic regression was performed to explore association between clinical/anthropometric parameters and DOE. Statistically significant parameters at multivariate analysis were incorporated into a nomogram. RESULTS: Sixty-five (21.2%) subjects were characterized by DOE. Variables associated with DOE at univariate analysis were male (p = 0.031), modified Mallampati Class (MMC) ≥ III (p < 0.001), smaller interincisor gap (p < 0.001), and larger neck circumference (p = 0.006). MMC, interincisor gap, and neck circumference were significant at multivariate analysis and were presented with a nomogram for creating the Pharyngoscore. CONCLUSIONS: The Pharyngoscore is a promising tool for calculating DOE probability before TORS.

Pseudo-pneumatosis of the gastrointestinal tract: its incidence and the accuracy of a checklist supported by artificial intelligence (AI) techniques to reduce the misinterpretation of pneumatosis.

PURPOSE: To assess the incidence of erroneous diagnosis of pneumatosis (pseudo-pneumatosis) in patients who underwent an emergency abdominal CT and to verify the performance of imaging features, supported by artificial intelligence (AI) techniques, to reduce this misinterpretation. METHODS: We selected 71 radiological reports where the presence of pneumatosis was considered definitive or suspected. Surgical findings, clinical outcomes, and reevaluation of the CT scans were used to assess the correct diagnosis of pneumatosis. We identified four imaging signs from literature, to differentiate pneumatosis from pseudo-pneumatosis: gas location, dissecting gas in the bowel wall, a circumferential gas pattern, and intramural gas beyond a gas-fluid/faecal level. Two radiologists reevaluated in consensus all the CT scans, assessing the four above-mentioned variables. Variable discriminative importance was assessed using the Fisher exact test. Accurate and statistically significant variables (p-value < 0.05, accuracy > 75%) were pooled using boosted Random Forests (RFs) executed using a Leave-One-Out cross-validation (LOO cv) strategy to obtain unbiased estimates of individual variable importance by permutation analysis. After the LOO cv, the comparison of the variable importance distribution was validated by one-sided Wilcoxon test. RESULTS: Twenty-seven patients proved to have pseudo-pneumatosis (error: 38%). The most significant features to diagnose pneumatosis were presence of dissecting gas in the bowel wall (accuracy: 94%), presence of intramural gas beyond a gas-fluid/faecal level (accuracy: 86%), and a circumferential gas pattern (accuracy: 78%). CONCLUSION: The incidence of pseudo-pneumatosis can be high. The use of a checklist which includes three imaging signs can be useful to reduce this overestimation.

Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment.

Since December 2019, the world has been devastated by the Coronavirus Disease 2019 (COVID-19) pandemic. Emergency Departments have been experiencing situations of urgency where clinical experts, without long experience and mature means in the fight against COVID-19, have to rapidly decide the most proper patient treatment. In this context, we introduce an artificially intelligent tool for effective and efficient Computed Tomography (CT)-based risk assessment to improve treatment and patient care. In this paper, we introduce a data-driven approach built on top of volume-of-interest aware deep neural networks for automatic COVID-19 patient risk assessment (discharged, hospitalized, intensive care unit) based on lung infection quantization through segmentation and, subsequently, CT classification. We tackle the high and varying dimensionality of the CT input by detecting and analyzing only a sub-volume of the CT, the Volume-of-Interest (VoI). Differently from recent strategies that consider infected CT slices without requiring any spatial coherency between them, or use the whole lung volume by applying abrupt and lossy volume down-sampling, we assess only the "most infected volume" composed of slices at its original spatial resolution. To achieve the above, we create, present and publish a new labeled and annotated CT dataset with 626 CT samples from COVID-19 patients. The comparison against such strategies proves the effectiveness of our VoI-based approach. We achieve remarkable performance on patient risk assessment evaluated on balanced data by reaching 88.88%, 89.77%, 94.73% and 88.88% accuracy, sensitivity, specificity and F1-score, respectively.

Geometric contour variation in clinical target volume of axillary lymph nodes in breast cancer radiotherapy: an AIRO multi-institutional study.

OBJECTIVES: To determine interobserver variability in axillary nodal contouring in breast cancer (BC) radiotherapy (RT) by comparing the clinical target volume of participating single centres (SC-CTV) with a gold-standard CTV (GS-CTV). METHODS: The GS-CTV of three patients (P1, P2, P3) with increasing complexity was created in DICOM format from the median contour of axillary CTVs drawn by BC experts, validated using the simultaneous truth and performance-level estimation and peer-reviewed. GS-CTVs were compared with the correspondent SC-CTVs drawn by radiation oncologists, using validated metrics and a total score (TS) integrating all of them. RESULTS: Eighteen RT centres participated in the study. Comparative analyses revealed that, on average, the SC-CTVs were smaller than GS-CTV for P1 and P2 (by -29.25% and -27.83%, respectively) and larger for P3 (by +12.53%). The mean Jaccard index was greater for P1 and P2 compared to P3, but the overlap extent value was around 0.50 or less. Regarding nodal levels, L4 showed the highest concordance with the GS. In the intra-patient comparison, L2 and L3 achieved lower TS than L4. Nodal levels showed discrepancy with GS, which was not statistically significant for P1, and negligible for P2, while P3 had the worst agreement. DICE similarity coefficient did not exceed the minimum threshold for agreement of 0.70 in all the measurements. CONCLUSIONS: Substantial differences were observed between SC- and GS-CTV, especially for P3 with altered arm setup. L2 and L3 were the most critical levels. The study highlighted these key points to address. ADVANCES IN KNOWLEDGE: The present study compares, by means of validated geometric indexes, manual segmentations of axillary lymph nodes in breast cancer from different observers and different institutions made on radiotherapy planning CT images. Assessing such variability is of paramount importance, as geometric uncertainties might lead to incorrect dosimetry and compromise oncological outcome.

Sudden neck swelling with rash as late manifestation of COVID-19: a case report.

BACKGROUND: Although there are reports of otolaryngological symptoms and manifestations of CoronaVirus Disease 19 (COVID-19), there have been no documented cases of sudden neck swelling with rash in patients with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection described in literature. CASE PRESENTATION: We report a case of a sudden neck swelling and rash likely due to late SARS-CoV-2 in a 64-year-old woman. The patient reported COVID-19 symptoms over the previous three weeks. Computed Tomography (CT) revealed a diffuse soft-tissue swelling and edema of subcutaneous tissue, hypodermis, and muscular and deep fascial planes. All the differential diagnoses were ruled out. Both the anamnestic history of the patient's husband who had died of COVID-19 with and the collateral findings of pneumonia and esophageal wall edema suggested the association with COVID-19. This was confirmed by nasopharyngeal swab polymerase chain reaction. The patient was treated with lopinavir/ritonavir, hydroxychloroquine and piperacillin/tazobactam for 7 days. The neck swelling resolved in less than 24 h, while the erythema was still present up to two days later. The patient was discharged after seven days in good clinical condition and with a negative swab. CONCLUSION: Sudden neck swelling with rash may be a coincidental presentation, but, in the pandemic context, it is most likely a direct or indirect complication of COVID-19.