Prognostic value of automated assessment of interstitial lung disease on CT in systemic sclerosis.

OBJECTIVE: Stratifying the risk of death in SSc-related interstitial lung disease (SSc-ILD) is a challenging issue. The extent of lung fibrosis on high-resolution CT (HRCT) is often assessed by a visual semiquantitative method that lacks reliability. We aimed to assess the potential prognostic value of a deep-learning-based algorithm enabling automated quantification of ILD on HRCT in patients with SSc. METHODS: We correlated the extent of ILD with the occurrence of death during follow-up, and evaluated the additional value of ILD extent in predicting death based on a prognostic model including well-known risk factors in SSc. RESULTS: We included 318 patients with SSc, among whom 196 had ILD; the median follow-up was 94 months (interquartile range 73-111). The mortality rate was 1.6% at 2 years and 26.3% at 10 years. For each 1% increase in the baseline ILD extent (up to 30% of the lung), the risk of death at 10 years was increased by 4% (hazard ratio 1.04, 95% CI 1.01, 1.07, P = 0.004). We constructed a risk prediction model that showed good discrimination for 10-year mortality (c index 0.789). Adding the automated quantification of ILD significantly improved the model for 10-year survival prediction (P = 0.007). Its discrimination was only marginally improved, but it improved prediction of 2-year mortality (difference in time-dependent area under the curve 0.043, 95% CI 0.002, 0.084, P = 0.040). CONCLUSION: The deep-learning-based, computer-aided quantification of ILD extent on HRCT provides an effective tool for risk stratification in SSc. It might help identify patients at short-term risk of death.

Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.

Background Longitudinal follow-up of interstitial lung diseases (ILDs) at CT mainly relies on the evaluation of the extent of ILD, without accounting for lung shrinkage. Purpose To develop a deep learning-based method to depict worsening of ILD based on lung shrinkage detection from elastic registration of chest CT scans in patients with systemic sclerosis (SSc). Materials and Methods Patients with SSc evaluated between January 2009 and October 2017 who had undergone at least two unenhanced supine CT scans of the chest and pulmonary function tests (PFTs) performed within 3 months were retrospectively included. Morphologic changes on CT scans were visually assessed by two observers and categorized as showing improvement, stability, or worsening of ILD. Elastic registration between baseline and follow-up CT images was performed to obtain deformation maps of the whole lung. Jacobian determinants calculated from the deformation maps were given as input to a deep learning-based classifier to depict morphologic and functional worsening. For this purpose, the set was randomly split into training, validation, and test sets. Correlations between mean Jacobian values and changes in PFT measurements were evaluated with the Spearman correlation. Results A total of 212 patients (median age, 53 years; interquartile range, 45-62 years; 177 women) were included as follows: 138 for the training set (65%), 34 for the validation set (16%), and 40 for the test set (21%). Jacobian maps demonstrated lung parenchyma shrinkage of the posterior lung bases in patients found to have worsened ILD at visual assessment. The classifier detected morphologic and functional worsening with an accuracy of 80% (32 of 40 patients; 95% confidence interval [CI]: 64%, 91%) and 83% (33 of 40 patients; 95% CI: 67%, 93%), respectively. Jacobian values correlated with changes in forced vital capacity (R = -0.38; 95% CI: -0.25, -0.49; P < .001) and diffusing capacity for carbon monoxide (R = -0.42; 95% CI: -0.27, -0.54; P < .001). Conclusion Elastic registration of CT scans combined with a deep learning classifier aided in the diagnosis of morphologic and functional worsening of interstitial lung disease in patients with systemic sclerosis. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Verschakelen in this issue.

Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.

PURPOSE: To develop a deep learning algorithm for the automatic assessment of the extent of systemic sclerosis (SSc)-related interstitial lung disease (ILD) on chest CT images. MATERIALS AND METHODS: This retrospective study included 208 patients with SSc (median age, 57 years; 167 women) evaluated between January 2009 and October 2017. A multicomponent deep neural network (AtlasNet) was trained on 6888 fully annotated CT images (80% for training and 20% for validation) from 17 patients with no, mild, or severe lung disease. The model was tested on a dataset of 400 images from another 20 patients, independently partially annotated by three radiologist readers. The ILD contours from the three readers and the deep learning neural network were compared by using the Dice similarity coefficient (DSC). The correlation between disease extent obtained from the deep learning algorithm and that obtained by using pulmonary function tests (PFTs) was then evaluated in the remaining 171 patients and in an external validation dataset of 31 patients based on the analysis of all slices of the chest CT scan. The Spearman rank correlation coefficient (ρ) was calculated to evaluate the correlation between disease extent and PFT results. RESULTS: The median DSCs between the readers and the deep learning ILD contours ranged from 0.74 to 0.75, whereas the median DSCs between contours from radiologists ranged from 0.68 to 0.71. The disease extent obtained from the algorithm, by analyzing the whole CT scan, correlated with the diffusion lung capacity for carbon monoxide, total lung capacity, and forced vital capacity (ρ = -0.76, -0.70, and -0.62, respectively; P < .001 for all) in the dataset for the correlation with PFT results. The disease extents correlated with diffusion lung capacity for carbon monoxide, total lung capacity, and forced vital capacity were ρ = -0.65, -0.70, and -0.57, respectively, in the external validation dataset (P < .001 for all). CONCLUSION: The developed algorithm performed similarly to radiologists for disease-extent contouring, which correlated with pulmonary function to assess CT images from patients with SSc-related ILD.Supplemental material is available for this article.© RSNA, 2020.

Construction of an ICF core set and ICF-based questionnaire assessing activities and participation in patients with systemic sclerosis.

OBJECTIVES: To develop an International Classification of Functioning, Disability and Health (ICF) core set for SSc and to conceive a patient-centred ICF-based questionnaire assessing activities and participation in patients with SSc. METHODS: The construction of the ICF core set followed two steps. In the first step, meaningful concepts related to SSc were collected using data source triangulation from patients (n = 18), experts (n = 10) and literature (n = 174 articles). In the second step, concepts were linked to the best-matching ICF categories by one reviewer according to prespecified linking rules. Finally, patient-reported activities and participation categories of the ICF core set were translated into understandable questions. RESULTS: After linking concepts to ICF categories, 150 ICF categories were collected from focus groups, 22 from experts and 82 from literature. After fusion of the sources and removal of duplicates, the ICF core set included 164 categories: one at the first level, 157 at the second level and six at the third level, with 50 categories on body functions, 15 on body structures, 52 on activities and participation, and 47 on environmental factors. Patient-reported ICF categories on activities and participation were translated into a patient-centred ICF-based 65-item questionnaire. CONCLUSION: The present study proposes an ICF core set that offers a conceptual framework for SSc patients' care and health policy. Using a patient-centred approach, a patient-centred ICF-based questionnaire, the Cochin Scleroderma ICF-65 questionnaire, assessing activities and participation in patients with SSc, was conceived. TRIAL REGISTRATION: ClinicalTrials.gov, http://clinicaltrials.gov, NCT01848418.

Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis.

Background Current imaging methods are not sensitive to changes in pulmonary function resulting from fibrosis. MRI with ultrashort echo time can be used to image the lung parenchyma and lung motion. Purpose To evaluate elastic registration of inspiratory-to-expiratory lung MRI for the assessment of pulmonary fibrosis in study participants with systemic sclerosis (SSc). Materials and Methods This prospective study was performed from September 2017 to March 2018 and recruited healthy volunteers and participants with SSc and high-resolution CT (within the previous 3 months) of the chest for lung MRI. Two breath-hold, coronal, three-dimensional, ultrashort-echo-time, gradient-echo sequences of the lungs were acquired after full inspiration and expiration with a 3.0-T unit. Images were registered from inspiration to expiration by using an elastic registration algorithm. Jacobian determinants were calculated from deformation fields and represented on color maps. Similarity between areas with marked shrinkage and logarithm of Jacobian determinants less than -0.15 were compared between healthy volunteers and study participants with SSc. Receiver operating characteristic curve analysis was performed to determine the best Dice similarity coefficient threshold for diagnosis of fibrosis. Results Sixteen participants with SSc (seven with pulmonary fibrosis at high-resolution CT) and 11 healthy volunteers were evaluated. Areas of marked shrinkage during expiration with logarithm of Jacobian determinants less than -0.15 were found in the posterior lung bases of healthy volunteers and in participants with SSc without fibrosis, but not in participants with fibrosis. The sensitivity and specificity of MRI for presence of fibrosis at high-resolution CT were 86% and 75%, respectively (area under the curve, 0.81; P = .04) by using a threshold of 0.36 for Dice similarity coefficient. Conclusion Elastic registration of inspiratory-to-expiratory MRI shows less lung base respiratory deformation in study participants with systemic sclerosis-related pulmonary fibrosis compared with participants without fibrosis. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Biederer in this issue.

Haemodynamics and serial risk assessment in systemic sclerosis associated pulmonary arterial hypertension.

The prognostic importance of follow-up haemodynamics and the validity of multidimensional risk assessment are not well established for systemic sclerosis (SSc)-associated pulmonary arterial hypertension (PAH).We assessed incident SSc-PAH patients to determine the association between clinical and haemodynamic variables at baseline and first follow-up right heart catheterisation (RHC) with transplant-free survival. RHC variables included cardiac index, stroke volume index (SVI), pulmonary arterial compliance and pulmonary vascular resistance. Risk assessment was performed according to the number of low-risk criteria: functional class I or II, 6-min walking distance (6MWD) >440 m, right atrial pressure <8 mmHg and cardiac index ≥2.5 L·min-1·m-2Transplant-free survival from diagnosis (n=513) was 87%, 55% and 35% at 1, 3 and 5 years, respectively. At baseline, 6MWD was the only independent predictor. A follow-up RHC was available for 353 patients (median interval 4.6 months, interquartile range 3.9-6.4 months). The 6MWD, functional class, cardiac index, SVI, pulmonary arterial compliance and pulmonary vascular resistance were independently associated with transplant-free survival at follow-up, with SVI performing better than other haemodynamic variables. 1-year outcomes were better with increasing number of low-risk criteria at baseline (area under the curve (AUC) 0.63, 95% CI 0.56-0.69) and at first follow-up (AUC 0.71, 95% CI 0.64-0.78).Follow-up haemodynamics and multidimensional risk assessment had greater prognostic significance than at baseline in SSc-PAH.

Disability, fatigue, pain and their associates in early diffuse cutaneous systemic sclerosis: the European Scleroderma Observational Study.

Objectives: Our aim was to describe the burden of early dcSSc in terms of disability, fatigue and pain in the European Scleroderma Observational Study cohort, and to explore associated clinical features. Methods: Patients completed questionnaires at study entry, 12 and 24 months, including the HAQ disability index (HAQ-DI), the Cochin Hand Function Scale (CHFS), the Functional Assessment of Chronic Illness Therapy-fatigue and the Short Form 36 (SF36). Associates examined included the modified Rodnan skin score (mRSS), current digital ulcers and internal organ involvement. Correlations between 12-month changes were also examined. Results: The 326 patients recruited (median disease duration 11.9 months) displayed high levels of disability [mean (s.d.) HAQ-DI 1.1 (0.83)], with 'grip' and 'activity' being most affected. Of the 18 activities assessed in the CHFS, those involving fine finger movements were most affected. High HAQ-DI and CHFS scores were both associated with high mRSS (ρ = 0.34, P < 0.0001 and ρ = 0.35, P < 0.0001, respectively). HAQ-DI was higher in patients with digital ulcers (P = 0.004), pulmonary fibrosis (P = 0.005), cardiac (P = 0.005) and muscle involvement (P = 0.002). As anticipated, HAQ-DI, CHFS, the Functional Assessment of Chronic Illness Therapy and SF36 scores were all highly correlated, in particular the HAQ-DI with the CHFS (ρ = 0.84, P < 0.0001). Worsening HAQ-DI over 12 months was strongly associated with increasing mRSS (ρ = 0.40, P < 0.0001), decreasing hand function (ρ = 0.57, P < 0.0001) and increasing fatigue (ρ = -0.53, P < 0.0001). Conclusion: The European Scleroderma Observational Study highlights the burden of disability in early dcSSc, with high levels of disability and fatigue, associating with the degree of skin thickening (mRSS). Impaired hand function is a major contributor to overall disability.

Patients' views and needs about systemic sclerosis and its management: a qualitative interview study.

BACKGROUND: Systemic sclerosis (SSc) is a chronic connective-tissue disease responsible for reduced life expectancy, disability and a decreased quality of life. In order to optimize patients-physicians relationship and care strategy we aimed to survey views of patients on SSc and its management to reveal potential hurdles and improve health care strategies. METHODS: A qualitative study combined semi-structured interviews, focus groups, and a direct observation of an information session was performed between November 2008 and January 2009. RESULTS: Twenty-five patients with SSc were included. They encounter difficulties to have a clear representation of their disease. Physical, psychological, and social repercussions of SSc may lead to a psychological distress and different coping strategies, which widely differ among interviewed patients. Patients' views on their therapeutic journey and the management of their disease highlighted strong expectations about patient-physician relationship. These expectations were numerous, complex and sometimes ambivalent. Patients expected physicians to be human and attentive but also involved in research in the field and to provide psychological and affective support to help them to accept the uncertainty of disease evolution and lack of curative treatment. They also expected more individualized management, improvements in diagnosis and follow-up organization, more efforts in education and information, comprehensive behaviors and support from working colleagues and relatives, and increased funding from the health care system. CONCLUSIONS: Our results suggest that SSc management could be optimized, particularly with more attention to the patient-practitioner relationship. Patient profiles should be more precisely defined in terms of coping strategies and treatment preferences to propose more individualized options.

Employment, work disability and quality of life in patients with ANCA-associated vasculitides. The EXPOVAS study.

OBJECTIVES: Improved therapeutic strategies for ANCA-associated vasculitis (AAV) have transformed acute and life-threatening diseases into chronic ones responsible for marked morbidity that could impact employment, work disability and quality of life (QoL). We aimed to analyse work, handicaps and QoL of AAV patients and identify their determinants. METHODS: Patients with AAV were included in a cross-sectional study assessing employment, work disability and QoL. Specific and non-specific questionnaires, including SF-36, were sent to patients, and clinical-biological data that could affect QoL and their determinants were analysed. RESULTS: Questionnaires were completed by 189 patients. Among 94 working-age (<60 years) patients, 57% had jobs, consistent with their qualifications for 81%, 77% were stably employed; 23% of workers felt that their disease qualitatively limited the nature of their work, while 43% felt it limited the quantity of work they could do; 50% thought their disease had hindered their careers and 43% that it had led to a salary reduction. These results were comparable for the different vasculitides. QoL was significantly impaired for AAV patients compared to the general population (p<0.0001). Physical health determinants for our population were diagnosis of eosinophilic granulomatosis with polyangiitis (EGPA), long disease duration and its neurological involvement, whereas mental health determinants tended to be ear, nose and throat and cardiovascular involvement, and unemployment. CONCLUSIONS: Our findings showed that AAV patients' QoL was impaired compared to the general population, mainly for patients with EGPA and long-standing disease. In contrast, normal employment seemed to be preserved for the majority of the patients.

New directions for patient-centred care in scleroderma: the Scleroderma Patient-centred Intervention Network (SPIN).

Systemic sclerosis (SSc), or scleroderma, is a chronic multisystem autoimmune disorder characterised by thickening and fibrosis of the skin and by the involvement of internal organs such as the lungs, kidneys, gastrointestinal tract, and heart. Because there is no cure, feasibly-implemented and easily accessible evidence-based interventions to improve health-related quality of life (HRQoL) are needed. Due to a lack of evidence, however, specific recommendations have not been made regarding non-pharmacological interventions (e.g. behavioural/psychological, educational, physical/occupational therapy) to improve HRQoL in SSc. The Scleroderma Patient-centred Intervention Network (SPIN) was recently organised to address this gap. SPIN is comprised of patient representatives, clinicians, and researchers from Canada, the USA, and Europe. The goal of SPIN, as described in this article, is to develop, test, and disseminate a set of accessible interventions designed to complement standard care in order to improve HRQoL outcomes in SSc.

The Five-Factor Score revisited: assessment of prognoses of systemic necrotizing vasculitides based on the French Vasculitis Study Group (FVSG) cohort.

The 1996 Five-Factor Score (FFS) for systemic necrotizing vasculitides (polyarteritis nodosa [PAN], microscopic polyangiitis [MPA], and Churg-Strauss syndrome [CSS]) is used to evaluate prognosis at diagnosis. In the current study we revisited the FFS, this time including Wegener granulomatosis (WG).We analyzed clinical, laboratory, and immunologic manifestations present at diagnosis of systemic necrotizing vasculitides for 1108 consecutive patients registered in the French Vasculitis Study Group database. All patients met the American College of Rheumatology and Chapel Hill nomenclature criteria. Univariable and multivariable analyses yielded the 2009 FFS for the 4 systemic necrotizing vasculitides.Overall mortality was 19.8% (219/1108); mortality for each of the SNV is listed in descending order: MPA (60/218, 27.5%), PAN (86/349, 24.6%), CSS (32/230, 13.9%), and WG (41/311, 13.2%) (p < 0.001). The following factors were significantly associated with higher 5-year mortality: age >65 years, cardiac symptoms, gastrointestinal involvement, and renal insufficiency (stabilized peak creatinine ≥150 µmol/L). All were disease-specific (p < 0.001); the presence of each was accorded +1 point. Ear, nose, and throat (ENT) symptoms, affecting patients with WG and CSS, were associated with a lower relative risk of death, and their absence was scored +1 point (p < 0.001). Only renal insufficiency was retained (not proteinuria or microscopic hematuria) as impinging on outcome. According to the 2009 FFS, 5-year mortality rates for scores of 0, 1, and ≥2 were 9%, 21% (p < 0.005), and 40% (p < 0.0001), respectively.The revised FFS for the 4 systemic necrotizing vasculitides now comprises 4 factors associated with poorer prognosis and 1 with better outcome. The retained items demonstrate that visceral involvement weighs heavily on outcome. The better WG prognosis for patients with ENT manifestations, even for patients with other visceral involvement, compared with the prognosis for those without ENT manifestations, probably reflects WG phenotype heterogeneity.

Employment status and socio-economic burden in systemic sclerosis: a cross-sectional survey.

OBJECTIVE: To assess employment status and socio-economic burden in SSc patients. METHODS: Eighty-seven SSc patients (72 females), fulfilling the ACR or the Leroy and Medsger criteria, or both, were evaluated for employment status, socio-economic burden and handicap. Statistical analysis involved Mann-Whitney U-test and Fisher's exact test and backward stepwise regression analysis. RESULTS: In total, 60.9% of the SSc patients were on full-time sick leave and 35.6% were receiving a disability pension. On univariate analysis, myalgia was the only clinical manifestation more frequently encountered in sick-leave patients than others (73.6 vs 47.1%; P = 0.012). Karnofsky performance status (KPS) was lower in SSc patients who were on sick leave or were receiving a disability pension than others [78.5 (10.6) vs 85.8 (9.0); P = 0.004 and 78.1 (8.7) vs 83.1 (11.2); P = 0.016, respectively]. In addition, greater global, hand and mouth handicaps and depression were observed in patients on sick leave [HAQ 0.9 (0.7) vs 0.6 (0.5); P = 0.021; Cochin Hand Function Scale 21.7 (18.9) vs 10.7 (12.1); P = 0.003; mouth handicap scale 20.2 (10.8) vs 14.6 (10.0); P = 0.014; and depression dimension of the hospital anxiety and depression scale 7.1 (3.9) vs 4.8 (3.4); P = 0.003]. On multivariate analysis, factors associated with sick leave were KPS [odds ratio (OR) 0.92; 95%CI 0.88, 0.98] and myalgias (OR 3.19; 95% CI 1.19, 8.58), and the factor associated with receiving a disability pension was decreased income (OR 8.19; 95% CI 2.67, 25.12). CONCLUSIONS: SSc patients commonly have to take full-time sick leave from work. Despite such patients receiving disability pensions, the socio-economic burden is considerable.

Assessing disability and quality of life in systemic sclerosis: construct validities of the Cochin Hand Function Scale, Health Assessment Questionnaire (HAQ), Systemic Sclerosis HAQ, and Medical Outcomes Study 36-Item Short Form Health Survey.

OBJECTIVE: To assess the construct validity of the Cochin Hand Function Scale (CHFS) and the relevance of using aggregate scores for the scleroderma Health Assessment Questionnaire (sHAQ) and Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) in systemic sclerosis (SSc). METHODS: We evaluated 50 patients with SSc (mean +/- SD age and disease duration 54 +/- 12 years and 9 +/- 8 years, respectively), of which 26 had limited cutaneous SSc (lcSSc) and 23 diffuse SSc (dSSc). Quality of life was assessed by the SF-36, global disability by the Health Assessment Questionnaire (HAQ) and sHAQ, and hand disability by the CHFS. Construct validity was assessed by convergent and divergent validity (Spearman's rank correlation coefficient) and factor analysis. RESULTS: The CHFS had good construct validity and its total score explained 75% of the variance of the HAQ. The HAQ had better construct validity than the aggregate sHAQ and their scores correlated well (r = 0.88). The aggregate sHAQ was no better than the HAQ in discriminating between lcSSc and dSSc. SF-36 physical and mental components had acceptable convergent and divergent validity. Factor analysis of the 8 subscales extracted 3 factors explaining 72% of the variance, which differed from the a priori stratification with physical and mental subscales extracted in the same factor. CONCLUSION: In patients with SSc, the CHFS has good construct validity, the HAQ should be preferred over the aggregate sHAQ for assessing physical functioning, and use of SF-36 physical and mental components aggregate scores is questionable.