"Usual" interstitial pneumonia with autoimmune features: a prospective study on a cohort of idiopathic pulmonary fibrosis patients.

OBJECTIVES: The classification interstitial pneumonia with autoimmune features (IPAF) includes patients with interstitial lung disease (ILD) associated with autoimmune characteristics insufficient to reach classification criteria for a specific autoimmune disease (SAD). These criteria are divided into three domains: clinical, serological and morphological. The latter domain does not include the usual interstitial pneumonia (UIP) pattern, which is deemed not to be significantly associated with SAD. Therefore, the enrolment of these patients is more difficult, requiring at least one item from both of the other domains. The objective of this study is to evaluate the rate of progression towards SAD of a cohort of UIP patients satisfying only one IPAF domain (we called this group "UIPAF") compared with classic idiopathic pulmonary fibrosis (IPF). METHODS: We prospectively enrolled IPF patients with radiologic and/or histologic UIP pattern, followed jointly by rheumatologists and pulmonologists from January 2017 to January 2021, with a minimum follow-up of 12 months. RESULTS: We enrolled 190 IPF patients, 38 (20%) of whom were classified as UIPAF. IPF and UIPAF patients were similar for general characteristics, severity and prognosis, at presentation and at annual check-up. However, 28.9% of UIPAF patients progressed towards SAD, compared with 2% of IPF patients (χ2=30.4, p≤0.0001). CONCLUSIONS: The association between a single clinical or serological domain of IPAF and UIP pattern is predictive for the development of a SAD if compared with isolated UIP. ILD can be the first manifestation of SAD, even with a UIP pattern, therefore, the morphological domain of IPAF criteria could be removed.

PerFECT 2.0: A Web-Based Platform Designed to Facilitate and Support the Diagnosis of Patients with Idiopathic Pulmonary Fibrosis in Italy.

INTRODUCTION: Timely and accurate diagnosis of idiopathic pulmonary fibrosis (IPF) is challenging, requiring specific tests including chest high-resolution computed tomography (HRCT), and limited by access to specialist centres with a multidisciplinary team (MDT). Here we describe PerFECT 2.0, an Italian web-based platform designed to create a network between tertiary centres with an MDT (hubs) and secondary centres (spokes), aiming to facilitate the diagnosis of IPF. METHODS: PerFECT 2.0 went live on 1 November 2016. Spoke centres submit anonymised documentation (HRCT images, pathological samples, clinical data) for a second opinion on the potential diagnosis of IPF from a hub centre. HRCT images are quickly uploaded, with patient-identifying information automatically removed. The hub centre views documentation online (no downloads allowed), makes any further information requests, then returns their second opinion as free text. An e-learning area contains educational material and simulated training clinical cases. Metrics were collected for 2017-2019; a user survey was conducted from 30 June-31 July 2020. RESULTS: Ten hub centres and 137 spoke centres have registered. The requests for a second opinion numbered 251 in 2017, 270 in 2018 and 265 in 2019 (overall mean 19.9 requests per month). The proportion of requests answered was 100.0% (251) in 2017, 100.0% (270) in 2018 and 97.7% (259) in 2019. The mean response time was 15.7 days. In the user survey, of nine hub responders and 19 spoke responders, 78% and 74%, respectively, reported that the platform is easy to use, and 100% and 89%, respectively, would recommend the platform to colleagues. CONCLUSION: The PerFECT 2.0 web-based platform has created a network that enables secondary centres to gain quick and easy access to a second opinion from a tertiary centre with an MDT through online evaluation of anonymised documentation, thereby facilitating and supporting the timely and accurate diagnosis of IPF.

HRCT Patterns of Drug-Induced Interstitial Lung Diseases: A Review.

Interstitial Lung Diseases (ILDs) represent a heterogeneous group of pathologies, which may be related to different causes. A low percentage of these lung diseases may be secondary to the administration of drugs or substances. Through the PubMed database, an extensive search was performed in the fields of drug toxicity and interstitial lung disease. We have evaluated the different classes of drugs associated with pulmonary toxicity. Several different high resolution computed tomography (HRCT) patterns related to pulmonary drug toxicity have been reported in literature, and the most frequent ILDs patterns reported include Nonspecific Interstitial Pneumonia (NSIP), Usual Interstitial Pneumonia (UIP), Hypersensitivity Pneumonitis (HP), Organizing Pneumonia (OP), Acute Respiratory Distress Syndrome (ARDS), and Diffuse Alveolar Damage (DAD). Finally, from the electronic database of our Institute we have selected and commented on some cases of drug-induced lung diseases related to the administration of common drugs. As the imaging patterns are rarely specific, an accurate evaluation of the clinical history is required and a multidisciplinary approach-involving pneumologists, cardiologists, radiologists, pathologists, and rheumatologists-is recommended.

Assessment of Lung Cancer Development in Idiopathic Pulmonary Fibrosis Patients Using Quantitative High-Resolution Computed Tomography: A Retrospective Analysis.

PURPOSE: The purpose of this study was to investigate histogram-based quantitative high-resolution computed tomography (HRCT) indexes in the assessment of lung cancer (LC) development in idiopathic pulmonary fibrosis (IPF) patients. MATERIALS AND METHODS: From IPF databases of 2 national respiratory centers, we retrospectively studied patients with and without LC development-respectively, divided into Group A (n=16) and Group B (n=33). The extent of fibrotic disease was quantified on baseline and follow-up HRCT examinations using kurtosis, skewness, percentage of high attenuation area (HAA%), and percentage of fibrotic area (FA%). These indexes were compared between the 2 groups using the Mann-Whitney U test. In the prediction of LC development, receiver operating characteristic analysis was performed to assess threshold values of HRCT indexes. RESULTS: At baseline, no difference was reported among groups for kurtosis, skewness, HAA%, and FA%, with P-values of 0.0881, 0.0606, 0.0578, and 0.0606, respectively. On follow-up, significant differences were reported, with P-values of 0.0174 for kurtosis, 0.0313 for skewness, 0.0297 for HAA%, and 0.0407 for FA%.On baseline HRCT, in the prediction of LC development, receiver operating characteristic analysis reported sensibility and specificity of 87.5% and 45.45% for kurtosis, 68.75% and 63.64% for skewness, 81.25% and 54.55% for FA%, and 75% and 60.61% for HAA%. CONCLUSIONS: LC development is associated with progression of fibrosis; at baseline, FA% and HAA% reported more convenient sensitivity/specificity ratios in the prediction of LC development.

Quantitative assessment of interstitial lung disease in Sjögren's syndrome.

BACKGROUND: Interstitial lung disease (ILD) is a frequent manifestation of Sjögren's syndrome (SS), an autoimmune disease of salivary and lacrimal glands, and affects approximately 20% of patients. No clinical or serological features appear to be useful to predict its presence, severity or progression, and chest high-resolution computed tomography (CT) remains the gold standard for diagnosis. Semiquantitative CT (SQCT) based on visual assessment (Goh and Taouli scoring) can estimate ILD extent, although it is burdened by relevant intra- and interobserver variability. Quantitative chest CT (QCT) is a promising alternative modality to assess ILD severity. AIM: To determine whether QCT assessment can identify extensive or limited lung disease in patients with SS and ILD. METHODS: This multi-center, cross-sectional and retrospective study enrolled patients with SS and a chest CT scan. SQCT assessment was carried out in a blinded and centralized manner to calculate both Goh and Taouli scores. An operator-independent analysis of all CT scans with the open-source software platform Horos was used to evaluate the QCT indices. Patients were classified according to the extent of ILD and differences in QCT index distribution were investigated with non-parametric tests. RESULTS: From a total of 102 consecutive patients with SS, the prevalence of ILD was 35.3% (36/102). There was a statistically significant difference in QCT index distribution between the SS with ILD and SS without ILD groups (p<0.001). Moreover, SS-ILD patients with ILD >20% (by Goh score) had a QCT index statistically different from those with limited ILD extent (p<0.001). Finally, QCT indices showed a moderate-to-good correlation with the Goh and Taouli scores (from 0.44 to 0.65; p<0.001). CONCLUSIONS: QCT indices can identify patients with SS and ILD and discriminate those with lesser or greater lung disease.