Post-COVID steroid induced avascular necrosis of the jaw: Emerging challenge in India.

The COVID-19 pandemic continues to evolve and spread with new variants of SARS-CoV-2 across the globe, as well as bring to clinical attention several post-COVID conditions. We report a post-COVID condition observed at our tertiary care center: spontaneous de novo development of steroid induced avascular necrosis in patients who have recently recovered from COVID-19 following high dose steroid usage in a short span of time. Pre-COVID published literature indicates that these lesions were seen very rarely in the jaws and were related to long-term usage of steroids and recent tooth extraction. They were considered under the broad spectrum of medication-related osteonecrosis of the jaws. Present authors believe that the post-COVID-19 steroid-induced avascular necrosis of the jaws is a distinct new entity. It is analogous to the avascular necrosis noticed in the femoral head of individuals recuperating from COVID-19, a condition conventionally known to be strongly associated with steroid therapy. Rapid progression, associated morbidity and mortality, and its possible differential diagnosis require pathologists to be vigilant regarding the chance encounter of such cases in jaws. Further reporting of such cases is required to gain additional insight into its features.

Split-bolus, single-phase contrast enhanced CT: a one-stop shop for invasive fungal sinusitis.

Contrast-enhanced magnetic resonance imaging is considered the imaging modality of choice for invasive fungal sinusitis (IFS); however, it is not feasible to perform emergency CEMRI especially in the setting of COVID-19. The CECT protocol for evaluation of suspected IFS can be modified by using split-bolus, single-phase CT as it provides an optimal soft tissue demonstration of sinonasal disease; extrasinus spread to orbit, and intracranial involvement along with simultaneous opacification of the internal carotid artery and cavernous sinus. The extent of bone erosion can also be well delineated on the multiplanar reconstructions (MPRs) in the bone window. Further a structured reporting format can help provide optimal surgical guidance in cases of IFS.

Radiation Exposure and Lifetime Attributable Risk of Cancer Incidence and Mortality from Low- and Standard-Dose CT Chest: Implications for COVID-19 Pneumonia Subjects.

Since the novel coronavirus disease 2019 (COVID-19) outbreak, there has been an unprecedented increase in the acquisition of chest computed tomography (CT) scans. Nearly 616 million people have been infected by COVID-19 worldwide to date, of whom many were subjected to CT scanning. CT exposes the patients to hazardous ionizing radiation, which can damage the genetic material in the cells, leading to stochastic health effects in the form of heritable genetic mutations and increased cancer risk. These probabilistic, long-term carcinogenic effects of radiation can be seen over a lifetime and may sometimes take several decades to manifest. This review briefly describes what is known about the health effects of radiation, the lowest dose for which there exists compelling evidence about increased radiation-induced cancer risk and the evidence regarding this risk at typical CT doses. The lifetime attributable risk (LAR) of cancer from low- and standard-dose chest CT scans performed in COVID-19 subjects is also discussed along with the projected number of future cancers that could be related to chest CT scans performed during the COVID-19 pandemic. The LAR of cancer Incidence from chest CT has also been compared with those from other radiation sources, daily life risks and lifetime baseline risk.

Non-coding RNA in idiopathic interstitial pneumonia and Covid-19 pulmonary fibrosis.

Pulmonary fibrosis is the key feature of majority of idiopathic interstitial pneumonias (IIPs) as well as many patients with post-COVID-19. The pathogenesis of pulmonary fibrosis is a complex molecular process that involves myriad of cells, proteins, genes, and regulatory elements. The non-coding RNA mainly miRNA, circRNA, and lncRNA are among the key regulators of many protein coding genes and pathways that are involved in pulmonary fibrosis. Identification and molecular mechanisms, by which these non-coding RNA molecules work, are crucial to understand the molecular basis of the disease. Additionally, elucidation of molecular mechanism could also help in deciphering a potential diagnostic/prognostic marker as well as therapeutic targets for IIPs and post-COVID-19 pulmonary fibrosis. In this review, we have provided the latest findings and discussed the role of these regulatory elements in the pathogenesis of pulmonary fibrosis associated with Idiopathic Interstitial Pneumonia and Covid-19.

Non-Coding RNA in Idiopathic Interstitial Pneumonia and Covid-19 Pulmonary Fibrosis (preprint)

Pulmonary fibrosis is the major manifestation of idiopathic interstitial pneumonia as well as post-COVID-19 complications. The pathogenesis of PF is a complex molecular process that involves many types of cells, proteins, genes, and regulatory elements. The non-coding RNA is the main regulatory element in this process which mainly includes;miRNA, circRNA, and lncRNA. These regulatory elements control the expression of many important genes and various pathways that are involved in the pathogenesis of pulmonary fibrosis. Identification and molecular mechanisms by which these non-coding RNA molecules works are very important because they do not only help to understand the molecular basis of the disease but could also serve as a potential diagnostic/prognostic marker as well as therapeutic targets. In this review, we have provided the latest findings and discussed the role of these regulatory elements in various biological processes and pathways involved in the pathogenesis of pulmonary fibrosis associated with IIPs and Covid-19.

Definition, diagnosis, and management of COVID-19-associated pulmonary mucormycosis: Delphi consensus statement from the Fungal Infection Study Forum and Academy of Pulmonary Sciences, India.

COVID-19-associated pulmonary mucormycosis (CAPM) remains an underdiagnosed entity. Using a modified Delphi method, we have formulated a consensus statement for the diagnosis and management of CAPM. We selected 26 experts from various disciplines who are involved in managing CAPM. Three rounds of the Delphi process were held to reach consensus (≥70% agreement or disagreement) or dissensus. A consensus was achieved for 84 of the 89 statements. Pulmonary mucormycosis occurring within 3 months of COVID-19 diagnosis was labelled CAPM and classified further as proven, probable, and possible. We recommend flexible bronchoscopy to enable early diagnosis. The experts proposed definitions to categorise dual infections with aspergillosis and mucormycosis in patients with COVID-19. We recommend liposomal amphotericin B (5 mg/kg per day) and early surgery as central to the management of mucormycosis in patients with COVID-19. We recommend response assessment at 4-6 weeks using clinical and imaging parameters. Posaconazole or isavuconazole was recommended as maintenance therapy following initial response, but no consensus was reached for the duration of treatment. In patients with stable or progressive disease, the experts recommended salvage therapy with posaconazole or isavuconazole. CAPM is a rare but under-reported complication of COVID-19. Although we have proposed recommendations for defining, diagnosing, and managing CAPM, more extensive research is required.

Imaging of Pulmonary Superinfections and Co-Infections in COVID-19.

New challenges in imaging and management of COVID-19 pneumonia emerge as the pandemic continues across the globe. These arise not only due to the COVID-19 pneumonia but also related to various superinfections and co-infections. Limited use of bronchoscopic and other aerosol generating procedures to obtain representative lower respiratory samples from these patient groups for accurate identification of organism, increases the responsibility of radiologists in suggesting the most likely cause of secondary infection. Imaging features of many of these infections overlap with features of COVID-19 pneumonia. In this review, we highlight imaging findings that can aid in the diagnosis of superinfections and co-infections in patients with COVID-19 pneumonia, and also help in predicting the likely causative organism.

Revisiting rhino-orbito-cerebral acute invasive fungal sinusitis in the era of COVID-19: pictorial review.

COVID-19 patients have been found to have an increased incidence of superadded fungal infections because of multiple factors such as impaired cell-mediated immunity, immunosuppressive therapy, and coexistent diabetes mellitus. Recently, there has been a significant rise in the COVID-19-associated mucormycosis and aspergillosis cases involving the sinonasal cavity and the lungs. Rhino-orbito-cerebral acute invasive fungal rhinosinusitis (AIFR) is a potentially life-threatening, invasive fungal infection. Early diagnosis followed by prompt medical management and surgical intervention is crucial for patient survival. The role of cross-sectional imaging (CT/MRI) is not only to suggest a diagnosis of invasive fungal sinusitis but also to delineate the complete extent of disease. Mapping the extent of orbital and intracranial disease has prognostic as well as management implications, as involvement of these sites marks a worse prognosis. A stepwise approach to evaluation of imaging of AIFR along with a pictorial depiction of the key imaging findings is presented.

The Conundrum of 'Long-COVID-19': A Narrative Review.

COVID-19 is an ongoing pandemic with many challenges that are now extending to its intriguing long-term sequel. 'Long-COVID-19' is a term given to the lingering or protracted illness that patients of COVID-19 continue to experience even in their post-recovery phase. It is also being called 'post-acute COVID-19', 'ongoing symptomatic COVID-19', 'chronic COVID-19', 'post COVID-19 syndrome', and 'long-haul COVID-19'. Fatigue, dyspnea, cough, headache, brain fog, anosmia, and dysgeusia are common symptoms seen in Long-COVID-19, but more varied and debilitating injuries involving pulmonary, cardiovascular, cutaneous, musculoskeletal and neuropsychiatric systems are also being reported. With the data on Long-COVID-19 still emerging, the present review aims to highlight its epidemiology, protean clinical manifestations, risk predictors, and management strategies. With the re-emergence of new waves of SARS-CoV-2 infection, Long-COVID-19 is expected to produce another public health crisis on the heels of current pandemic. Thus, it becomes imperative to emphasize this condition and disseminate its awareness to medical professionals, patients, the public, and policymakers alike to prepare and augment health care facilities for continued surveillance of these patients. Further research comprising cataloging of symptoms, longer-ranging observational studies, and clinical trials are necessary to evaluate long-term consequences of COVID-19, and it warrants setting-up of dedicated, post-COVID care, multi-disciplinary clinics, and rehabilitation centers.

Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.

OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)-positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. To identify subgroups of patients where artificial intelligence (AI) can be of particular value and analyse what imaging features may have contributed to the performance of AI by means of visualisation techniques. METHODS: CXR of 487 patients were classified into [4] categories-normal, classical COVID, indeterminate, and non-COVID by consensus opinion of 2 radiologists. CXR which were classified as "normal" and "indeterminate" were then subjected to analysis by AI, and final categorisation provided as guided by prediction of the network. Precision and recall of the radiologist alone and radiologist assisted by AI were calculated in comparison to reverse transcriptase-polymerase chain reaction (RT-PCR) as the gold standard. Attention maps of the CNN were analysed to understand regions in the CXR important to the AI algorithm in making a prediction. RESULTS: The precision of radiologists improved from 65.9 to 81.9% and recall improved from 17.5 to 71.75 when assistance with AI was provided. AI showed 92% accuracy in classifying "normal" CXR into COVID or non-COVID. Analysis of attention maps revealed attention on the cardiac shadow in these "normal" radiographs. CONCLUSION: This study shows how deployment of an AI algorithm can complement a human expert in the determination of COVID status. Analysis of the detected features suggests possible subtle cardiac changes, laying ground for further investigative studies into possible cardiac changes. KEY POINTS: • Through an ambispective clinical study, we show how assistance with an AI algorithm can improve recall (sensitivity) and precision (positive predictive value) of radiologists in assessing CXR for possible COVID in comparison to RT-PCR. • We show that AI achieves the best results in images classified as "normal" by radiologists. We conjecture that possible subtle cardiac in the CXR, imperceptible to the human eye, may have contributed to this prediction. • The reported results may pave the way for a human computer collaboration whereby the expert with some help from the AI algorithm achieves higher accuracy in predicting COVID status on CXR than previously thought possible when considering either alone.

Computed tomography chest in COVID-19: When & why?

Computed tomography (CT) of the chest plays an important role in the diagnosis and management of coronavirus disease 2019 (COVID-19), but it should not be used indiscriminately. This review provides indications of CT chest in COVID-19 suspect, positive and recovered patients based on the current scientific evidence and our personal experience. CT chest is not indicated as a routine screening modality due to its poor sensitivity and specificity. However, it is useful in a small subset of COVID-19 suspects who test negative on reverse transcription-polymerase chain reaction (RT-PCR) with normal/indeterminate chest X-ray (CXR) but have moderate-to-severe respiratory symptoms and high index of clinical suspicion. CT chest is not indicated in every RT-PCR-positive patient and should be done only in specific clinical scenarios, where it is expected to significantly contribute in the clinical management such as COVID-19 patients showing unexplained clinical deterioration and/or where other concurrent lung pathology or pulmonary thromboembolism needs exclusion. Serial CXR and point-of-care ultrasound are usually sufficient to evaluate the progression of COVID-19 pneumonia. CT chest is also indicated in COVID-19-positive patients with associated co-morbidities (age >65 yr, diabetes, hypertension, obesity, cardiovascular disease, chronic respiratory disease, immune-compromise, etc.) who, despite having mild symptoms and normal/indeterminate CXR, record oxygen saturation of <93 per cent at rest while breathing room air or de-saturate on six-minute walk test. Finally, CT chest plays a crucial role to rule out lung fibrosis in patients recovered from COVID-19 infection who present with hypoxia/impaired lung function on follow up. In conclusion, though CT chest is an indispensable diagnostic tool in COVID-19, it should be used judiciously and only when specifically indicated.