Search

Background: Psoriasis is a chronic inflammatory skin disease associated with several important medical comorbidities. There are scant data available on the comorbidities of patients with psoriasis in South America. Aim: To examine the comorbidity profile of adult patients with psoriasis in Chile and its association with severity of psoriasis. Methods: This was a multicentre, cross-sectional study involving 16 hospitals and clinics in Chile, which used a 48-item questionnaire to study clinician- and patient-reported outcomes and comorbidities. Inferential analyses were performed by psoriasis severity, using Fisher exact test, Student t-test and multivariable logistic regression. Results: In total, 598 adult patients with psoriasis were included (51.1% male; mean age 49.2 ± 15.1 years); 48.5% mild and 51.4% moderate to severe; Psoriasis Area and Severity Index 11.6 ± 11.5; body surface area 14.7 ± 18.2%. Plaque psoriasis was the most common phenotype (90.2%), followed by guttate (13.4%). Psoriatic arthritis occurred in 27.3% of patients. Comorbidities were reported in 60.2% of all patients with psoriasis. Frequent concomitant diseases were obesity (25.3%), hypertension (24.3%), Type 2 diabetes mellitus (T2DM) (18.7%), dyslipidaemia (17.4%), metabolic syndrome (16.7%) and depression (14.4%). After adjustment, significant associations were found between moderate to severe psoriasis and obesity, T2DM and nonalcoholic fatty liver disease (NAFLD) compared with mild psoriasis. Conclusions: We report a large study of comorbidities, including depression, dyslipidaemia, T2DM and NAFLD, in people with psoriasis in Chile. The prevalence of comorbidities with psoriasis in Chile appears similar to that found in Western countries, and emphasizes the importance of assessing patients with psoriasis for risk factors for and presence of, comorbid disease in a multidisciplinary setting.

Background: Prolonged systemic antibiotic treatment is often a part of management of hidradenitis suppurativa (HS). Although biologic therapies are now available, the patient’s treatment journey leading to biologic therapy is unclear. Objectives: To examine treatment patterns and duration of systemic treatment use in patients with HS preceding biologic therapy. Methods: We identified all patients with HS receiving treatment with biologics in the Danish National Patient Registry from 2010 to 2018 and extracted their entire prescription history of specific systemic treatments from the Danish National Prescription Registry since its inception in 1995. The patients’ treatment journeys are graphically displayed through Sankey diagrams and box plots generated to show temporal distributions. Descriptive patient characteristics were presented as frequencies with percentages for categorical variables and as means with SDs or medians with interquartile ranges (IQRs) for continuous variables. Results: A total of 225 patients with HS were included. Patients had most frequently been treated with penicillin (n = 214; 95·1%), dicloxacillin (n = 194; 86·2%), tetracycline (n = 145; 64·4%) and rifampicin/clindamycin (n = 111; 49·3%), as well as the retinoids isotretinoin and acitretin, and dapsone. Prior to biologic therapy, patients received a mean of 4·0 (SD 1·3) different systemic therapies, across a mean of 16·9 (SD 11·3) different treatment series. The mean time from first systemic therapy until biologic therapy was initiated was 15·3 (SD 5·1) years [8·2 (SD 5·9) years when excluding penicillin and dicloxacillin]. Conclusions: Patients with HS who receive biologic therapy have long preceding treatment histories with multiple drug classes and treatment series, many of which are supported by relatively weak evidence in HS. Delay in the initiation of biologic therapy may represent a missed opportunity to prevent disease progression. What is already known about this topic? The tr

BACKGROUND: Use of Janus kinase 1 inhibitors in moderate-to-severe atopic dermatitis (AD) is associated with incident acne in adolescent and adults that is mostly mild, transient and treatable. There is a need for more knowledge about the risk and severity of acne in patients with AD.OBJECTIVES: To examine the prevalence, incidence and risk of acne in adolescents and adults with AD using nationwide prescription data.METHODS: A matched cohort study of 6600 adults with AD and 66 000 controls was conducted using routinely and prospectively collected nationwide administrative data. Adjusted hazard ratios (HR) are reported with 95% confidence intervals (CIs).RESULTS: The 12-month prevalence of acne was 3.7% in the general population and 3.9% among AD patients. The incidence rate of acne was highest among 12- to 18-year-old AD patients, and overall slightly higher in women with AD compared with males. The overall risk in patients with AD was similar with that of the general population (HR 0.96; 95% CI 0.88-1.06), whereas the risk of being treated for severe acne was reduced in AD patients (HR 0.59; 95% CI 0.47-0.73) and mainly among adolescents and young adults. The HR of acne increased with age reaching 1.41 (95% CI 1.07-1.87) for ages 30-39 years, and 2.07 (95% CI 1.42-3.03) for patients ≥40 years compared with controls.CONCLUSIONS: The risk and severity of acne in AD patients change with age and sex, which may be used for the risk assessment of acne following treatment with Janus kinase 1 inhibitors.

Importance: Four distinct rosacea subtypes have traditionally been recognized, but the frequency of these subtypes among patients with rosacea remains unknown. Objective: To assess the frequency of 4 rosacea subtypes. Data Sources: This systemic review and meta-analysis included a search of 2 databases, PubMed and Embase, from inception of the databases to November 2, 2021. The search was filtered to include only studies of human participants published in English, French, and German. Study Selection: Studies were screened independently by 2 of the authors and were included if they were original with a sample size of 25 or more patients and reported absolute numbers or frequency of patients affected by rosacea subtypes. Studies that did not report sufficient data to calculate the proportions of subtypes were excluded. Data Extraction and Synthesis: Data extraction was performed independently and in duplicate by 2 of the authors, using the search term rosacea, according to the Preferred Reporting items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search term, objectives, and study protocol methods were defined before the study was initiated. A total of 292 studies were included for full-text assessment. Owing to the heterogeneity of the included studies, a random-effects model was used. Main Outcome and Measures: The main outcome was the proportion of patients with rosacea in each of the 4 major subtype groups defined by the 2002 National Rosacea Society classification system. Measures were absolute numbers or frequency of patients affected by each of the 4 rosacea subtypes. Results: A total of 39 studies examining 9190 patients with rosacea were included. The pooled proportion of erythematotelangiectatic rosacea was 56.7% (95% CI, 51.4%-62.0%), of papulopustular rosacea was 43.2% (95% CI, 38.8%-47.6%), of phymatous rosacea was 7.4% (95% CI, 6.1%-8.9%), and of ocular rosacea was 11.1% (95% CI, 6.7%-16.3%). Subtype distribution occurred equally

IMPORTANCE Identifying the optimal long-term biologic therapy for patients with psoriasis is often done through trial and error. OBJECTIVE To identify the optimal biologic therapy for individual patients with psoriasis using predictive statistical and machine learning models. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used data from Danish nationwide registries, primarily DERMBIO, and included adult patients treated for moderate-to-severe psoriasis with biologics. Data were processed and analyzed between spring 2021 and spring 2022. MAIN OUTCOMES AND MEASURES Patient clusters of clinical relevance were identified and their success rates estimated for each drug. Furthermore, predictive prognostic models to identify optimal biologic treatment at the individual level based on data from nationwide registries were evaluated. RESULTS Assuming a success criterion of 3 years of sustained treatment, this study included 2034 patients with a total of 3452 treatment series. Most treatment series involved male patients (2147 [62.2%]) originating from Denmark (3190 [92.4%]), and 2414 (69.9%) had finished an education longer than primary school. The average ages were 24.9 years at psoriasis diagnosis and 45.5 years at initiation of biologic therapy. Gradient-boosted decision trees and logistic regression were able to predict a specific cytokine target (eg, interleukin-17 inhibition) associated with a successful treatment with accuracies of 63.6% and 59.2%, and top 2 accuracies of 95.9% and 93.9%. When predicting specific drugs resulting in success, gradient boost and logistic regression had accuracies of 48.5% and 44.4%, top 2 accuracies of 77.6% and 75.9%, and top 3 accuracies of 89.9% and 89.0%. CONCLUSIONS AND RELEVANCE Of the treatment prediction models used in this cohort study of patients with psoriasis, gradient-boosted decision trees performed significantly, IMPORTANCE Identifying the optimal long-term biologic therapy for patients with psoriasis is often done through trial and error. OBJECTIVE To identify the optimal biologic therapy for individual patients with psoriasis using predictive statistical and machine learning models. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used data from Danish nationwide registries, primarily DERMBIO, and included adult patients treated for moderate-to-severe psoriasis with biologics. Data were processed and analyzed between spring 2021 and spring 2022. MAIN OUTCOMES AND MEASURES Patient clusters of clinical relevance were identified and their success rates estimated for each drug. Furthermore, predictive prognostic models to identify optimal biologic treatment at the individual level based on data from nationwide registries were evaluated. RESULTS Assuming a success criterion of 3 years of sustained treatment, this study included 2034 patients with a total of 3452 treatment series. Most treatment series involved male patients (2147 [62.2%]) originating from Denmark (3190 [92.4%]), and 2414 (69.9%) had finished an education longer than primary school. The average ages were 24.9 years at psoriasis diagnosis and 45.5 years at initiation of biologic therapy. Gradient-boosted decision trees and logistic regression were able to predict a specific cytokine target (eg, interleukin-17 inhibition) associated with a successful treatment with accuracies of 63.6% and 59.2%, and top 2 accuracies of 95.9% and 93.9%. When predicting specific drugs resulting in success, gradient boost and logistic regression had accuracies of 48.5% and 44.4%, top 2 accuracies of 77.6% and 75.9%, and top 3 accuracies of 89.9% and 89.0%. CONCLUSIONS AND RELEVANCE Of the treatment prediction models used in this cohort study of patients with psoriasis, gradient-boosted decision trees performed significantly

IMPORTANCE Biologics are important in treating patients with hidradenitis suppurativa (HS). However, to our knowledge, data on their real-life performance and treatment patterns in HS are limited.OBJECTIVE To examine the drug survival of biologic therapies for HS in a real-world setting.DESIGN, SETTING, PARTICIPANTS This cohort study included all patients with HS between January 1, 2005, and December 31, 2018, who were treated with biologics at the 5 academic hospital clinics where all biologic treatment for HS is conducted in Denmark. Biologics included adalimumab, anakinra, certolizumab pegol, etanercept, golimumab, infliximab, secukinumab, and ustekinumab. Data were analyzed between June 1, 2021, and June 20, 2021.MAIN OUTCOMES AND MEASURES Drug survival was depicted through Kaplan-Meier curves, and Cox regression models were used to calculate adjusted (age, sex, previous number of biologic treatment series) hazard ratios (aHRs) with 95% CIs for the risk of treatment discontinuation. Switching patterns were visualized through a Sankey diagram.RESULTS The study comprised 241 patients (176 women [61.8%]; total of 386 treatment series) with a mean (SD) age of 41.8 (12.6) years at initiation of first biologic therapy. There were a total of 256 (189 [73.8%] biologic naive), 66 (32 [48.5%] biologic naive), 23 (9 [39.1%] biologic naive), and 22 (9 [40.9%] biologic naive) treatment series with adalimumab, infliximab, etanercept, and ustekinumab, respectively. The median time to discontinuation was 36.0 (IQR, 21.9-63.0), 28.7 (IQR, 15.1-62.9), 26.0 (IQR, 16.9-155.9), and 17.9 weeks (IQR, 12.9-41.0) for adalimumab, infliximab, ustekinumab and etanercept, respectively. The risk of drug discontinuation was significantly higher for etanercept compared with adalimumab (aHR, 1.81; 95% CI, 1.16-2.82), infliximab (aHR, 1.77; 95% CI, 1.03-3.05), and ustekinumab (aHR, 2.49; 95% CI, 1.12-5.52), whereas no difference was observed when comparing these 3

Background: Prolonged systemic antibiotic treatment is often a part of management of hidradenitis suppurativa (HS). Although biologic therapies are now available, the patient's treatment journey leading to biologic therapy is unclear. Objectives: To examine treatment patterns and duration of systemic treatment use in patients with HS preceding biologic therapy. Methods: We identified all patients with HS receiving treatment with biologics in the Danish National Patient Registry from 2010 to 2018 and extracted their entire prescription history of specific systemic treatments from the Danish National Prescription Registry since its inception in 1995. The patients' treatment journeys are graphically displayed through Sankey diagrams and box plots generated to show temporal distributions. Descriptive patient characteristics were presented as frequencies with percentages for categorical variables and as means with SDs or medians with interquartile ranges (IQRs) for continuous variables. Results: A total of 225 patients with HS were included. Patients had most frequently been treated with penicillin (n = 214; 95·1%), dicloxacillin (n = 194; 86·2%), tetracycline (n = 145; 64·4%) and rifampicin/clindamycin (n = 111; 49·3%), as well as the retinoids isotretinoin and acitretin, and dapsone. Prior to biologic therapy, patients received a mean of 4·0 (SD 1·3) different systemic therapies, across a mean of 16·9 (SD 11·3) different treatment series. The mean time from first systemic therapy until biologic therapy was initiated was 15·3 (SD 5·1) years [8·2 (SD 5·9) years when excluding penicillin and dicloxacillin]. Conclusions: Patients with HS who receive biologic therapy have long preceding treatment histories with multiple drug classes and treatment series, many of which are supported by relatively weak evidence in HS. Delay in the initiation of biologic therapy may represent a missed opportunity to prevent disease progression. What is already known about this topic? The treat

Background: The exact location of skin lesions is key in clinical dermatology. On one hand, it supports differential diagnosis (DD) since most skin conditions have specific predilection sites. On the other hand, location matters for dermatosurgical interventions. In practice, lesion evaluation is not well standardized and anatomical descriptions vary or lack altogether. Automated determination of anatomical location could benefit both situations. Objective: Establish an automated method to determine anatomical regions in clinical patient pictures and evaluate the gain in DD performance of a deep learning model (DLM) when trained with lesion locations and images. Methods: Retrospective study based on three datasets: macro-anatomy for the main body regions with 6000 patient pictures partially labelled by a student, micro-anatomy for the ear region with 182 pictures labelled by a student and DD with 3347 pictures of 16 diseases determined by dermatologists in clinical settings. For each dataset, a DLM was trained and evaluated on an independent test set. The primary outcome measures were the precision and sensitivity with 95% CI. For DD, we compared the performance of a DLM trained with lesion pictures only with a DLM trained with both pictures and locations. Results: The average precision and sensitivity were 85% (CI 84-86), 84% (CI 83-85) for macro-anatomy, 81% (CI 80-83), 80% (CI 77-83) for micro-anatomy and 82% (CI 78-85), 81% (CI 77-84) for DD. We observed an improvement in DD performance of 6% (McNemar test P-value 0.0009) for both average precision and sensitivity when training with both lesion pictures and locations. Conclusion: Including location can be beneficial for DD DLM performance. The proposed method can generate body region maps from patient pictures and even reach surgery relevant anatomical precision, e.g. the ear region. Our method enables automated search of large clinical databases and make targeted anatomical image retrieval possible.

Background: Psoriasis is a chronic inflammatory skin disease associated with several important medical comorbidities. There are scant data available on the comorbidities of patients with psoriasis in South America. Aim: To examine the comorbidity profile of adult patients with psoriasis in Chile and its association with severity of psoriasis. Methods: This was a multicentre, cross-sectional study involving 16 hospitals and clinics in Chile, which used a 48-item questionnaire to study clinician- and patient-reported outcomes and comorbidities. Inferential analyses were performed by psoriasis severity, using Fisher exact test, Student t-test and multivariable logistic regression. Results: In total, 598 adult patients with psoriasis were included (51.1% male; mean age 49.2 ± 15.1 years); 48.5% mild and 51.4% moderate to severe; Psoriasis Area and Severity Index 11.6 ± 11.5; body surface area 14.7 ± 18.2%. Plaque psoriasis was the most common phenotype (90.2%), followed by guttate (13.4%). Psoriatic arthritis occurred in 27.3% of patients. Comorbidities were reported in 60.2% of all patients with psoriasis. Frequent concomitant diseases were obesity (25.3%), hypertension (24.3%), Type 2 diabetes mellitus (T2DM) (18.7%), dyslipidaemia (17.4%), metabolic syndrome (16.7%) and depression (14.4%). After adjustment, significant associations were found between moderate to severe psoriasis and obesity, T2DM and nonalcoholic fatty liver disease (NAFLD) compared with mild psoriasis. Conclusions: We report a large study of comorbidities, including depression, dyslipidaemia, T2DM and NAFLD, in people with psoriasis in Chile. The prevalence of comorbidities with psoriasis in Chile appears similar to that found in Western countries, and emphasizes the importance of assessing patients with psoriasis for risk factors for and presence of, comorbid disease in a multidisciplinary setting.

Vitiligo-like depigmentation (VLD) is an immune-related adverse event (irAE) of checkpoint-inhibitor (CPI) treatment, which has previously been associated with a favourable outcome. The aim of this study was to explore clinical, biological and prognostic features of melanoma patients with VLD under CPI-treatment and to explore whether they exhibit a characteristic immune response profile in peripheral blood. Melanoma patients developing VLD under CPI were included in a prospective observational single-center cohort study. We collected and analysed clinical parameters, photographs and serum from 28 VLD patients. They received pembrolizumab (36%), nivolumab (11%), ipilimumab/nivolumab (32%) or clinical trial medications (21%). We performed a high-throughput proteomics assay (Olink), in which we identified a distinct proteomic signature in VLD patients in comparison to non-VLD CPI patients. Our clinical assessments revealed that VLD lesions had a predominantly symmetrical distribution pattern, with mostly smaller “freckle-like” macules and a preferential distribution in UV-exposed areas. Patients with previous targeted therapy showed a significantly longer time lapse between CPI initiation and VLD onset compared to non-pre-treated patients (12.5 vs. 6.25 months). Therapy responders exhibited a distinct proteomic profile when compared with non-responders in VLD such as upregulation of EDAR and downregulation of LAG3. ITGA11 was elevated in the VLD-group when compared to non-VLD-CPI-treated melanoma patients. Our findings demonstrate that on a proteomic level, VLD is characterized by a distinct immune signature when compared to CPI-treated patients without VLD and that therapy responsiveness is reflected by a characteristic immune profile. The pathomechanisms underlying these findings and how they could relate to the antitumoral response in melanoma remain to be elucidated.

The exponential increase in algorithm-based mobile health (mHealth) applications (apps) for melanoma screening is a reaction to a growing market. However, the performance of available apps remains to be investigated. In this prospective study, we investigated the diagnostic accuracy of a class 1 CE-certified smartphone app in melanoma risk stratification and its patient and dermatologist satisfaction. Pigmented skin lesions ≥ 3 mm and any suspicious smaller lesions were assessed by the smartphone app SkinVision® (SkinVision® B.V., Amsterdam, the Netherlands, App-Version 6.8.1), 2D FotoFinder ATBM® master (FotoFinder ATBM® Systems GmbH, Bad Birnbach, Germany, Version 3.3.1.0), 3D Vectra® WB360 (Canfield Scientific, Parsippany, NJ, USA, Version 4.7.1) total body photography (TBP) devices, and dermatologists. The high-risk score of the smartphone app was compared with the two gold standards: histological diagnosis, or if not available, the combination of dermatologists’, 2D and 3D risk assessments. A total of 1204 lesions among 114 patients (mean age 59 years; 51% females (55 patients at high-risk for developing a melanoma, 59 melanoma patients)) were included. The smartphone app’s sensitivity, specificity, and area under the receiver operating characteristics (AUROC) varied between 41.3–83.3%, 60.0–82.9%, and 0.62–0.72% according to two study-defined reference standards. Additionally, all patients and dermatologists completed a newly created questionnaire for preference and trust of screening type. The smartphone app was rated as trustworthy by 36% (20/55) of patients at high-risk for melanoma, 49% (29/59) of melanoma patients, and 8.8% (10/114) of dermatologists. Most of the patients rated the 2D TBP imaging (93% (51/55) resp. 88% (52/59)) and the 3D TBP imaging (91% (50/55) resp. 90% (53/59)) as trustworthy. A skin cancer screening by combination of dermatologist and smartphone app was favored by only 1.8% (1/55) resp. 3.4% (2/59) of the patients; no patient preferr

At the early stages of the COVID-19 outbreak in 2020, Switzerland was among the countries with the highest number of SARS-CoV2-infections per capita in the world. Lockdowns had a remarkable impact on primary care access and resulted in postponed cancer screenings. The aim of this study was to investigate the effects of the COVID-19 lockdown on the diagnosis of melanomas and stage of melanomas at diagnosis. In this retrospective, exploratory cohort study, 1240 patients with a new diagnosis of melanoma were analyzed at five tertiary care hospitals in German-speaking Switzerland over a period of two years and three months. We compared the pre-lockdown (01/FEB/19–15/MAR/20, n = 655) with the lockdown (16/MAR/20–22/JUN/20, n = 148) and post-lockdown period (23/JUN/20–30/APR/21, n = 437) by evaluating patients’ demographics and prognostic features using Breslow thickness, ulceration, subtype, and stages. We observed a short-term, two-week rise in melanoma diagnoses after the major lift of social lockdown restrictions. The difference of mean Breslow thicknesses was significantly greater in older females during the lockdown compared to the pre-lockdown (1.9 ± 1.3 mm, p = 0.03) and post-lockdown period (1.9 ± 1.3 mm, p = 0.048). Thickness increase was driven by nodular melanomas (2.9 ± 1.3 mm, p = 0.0021; resp. 2.6 ± 1.3 mm, p = 0.008). A proportional rise of advanced melanomas was observed during lockdown (p = 0.047). The findings provide clinically relevant insights into lockdown-related gender- and age-dependent effects on melanoma diagnosis. Our data highlight a stable course in new melanomas with a lower-than-expected increase in the post-lockdown period. The lockdown period led to a greater thickness in elderly women driven by nodular melanomas and a proportional shift towards stage IV melanoma. We intend to raise awareness for individual cancer care in future pandemic management strategies.

Background: Primary localized cutaneous amyloidosis (PLCA) is defined by the deposition of amyloid protein in the skin without systemic involvement. There are four subtypes of PLCA: lichen amyloidosis (LA), macular amyloidosis (MA), biphasic amyloidosis (BA), and nodular amyloidosis (NA). PLCA occurs most frequently in Latin Americans and Asians. Treatment is not standardized. Objectives: To identify subtypes, demographic and clinical features and treatment efficacy in patients with histopathologically confirmed PLCA. Materials and Methods: Data of PLCA patients were extracted from the electronic hospital database and included if diagnosis of PLCA was histopathologically confirmed and if sufficient information regarding treatment and follow-up was available. The evaluation of the treatment efficacy was based on a novel score to assess the reduction of itch and skin lesions. Results: In this retrospective, monocentric study, 37 cases of PLCA diagnosed between 2000 and 2020 were included (21 females) with a mean age of 52 years. LA was the most frequent subtype found in 21 patients (56.8%), followed by MA in 10 patients (28%) and BA in 6 patients (16.2%). No cases of NA were included. 22 patients (59.4%) had skin phototype II or III. Regarding treatment, a combination of UVA1 phototherapy with high-potency topical corticosteroids seemed to show the highest efficacy with complete clearance of symptoms in 4 patients (10.8%). A substantial improvement of symptoms was found in 5 patients (12.7%) treated with high-potency topical corticosteroids alone or in combination either with UVA1 or bath PUVA or monotherapy with UVA1 phototherapy or capsaicin (0.075%) cream. Low-/medium-potency topical corticosteroids alone or in combination with UVBnb (311 nm) phototherapy showed a lower efficacy. Conclusion: Our data show that PCLA is a rare disease in central Europe but can also be expected in a predominantly Caucasian population. The best treatment response was achieved with a co

Lung nodules are frequent findings in chest computed tomography (CT) in patients with metastatic melanoma. In this study, we assessed the frequency and compared morphologic differences of metastases and benign nodules. We retrospectively evaluated 85 patients with melanoma (AJCC stage III or IV). Inclusion criteria were ≤20 lung nodules and follow-up using CT ≥183 days after baseline. Lung nodules were evaluated for size and morphology. Nodules with significant growth, nodule regression in line with RECIST assessment or histologic confirmation were judged to be metastases. A total of 438 lung nodules were evaluated, of which 68% were metastases. At least one metastasis was found in 78% of patients. A 10 mm diameter cut-off (used for RECIST) showed a specificity of 95% and a sensitivity of 20% for diagnosing metastases. Central location (n = 122) was more common in metastatic nodules (p = 0.009). Subsolid morphology (n = 53) was more frequent (p < 0.001), and calcifications (n = 13) were solely found in non-metastatic lung nodules (p < 0.001). Our data show that lung nodules are prevalent in about two-thirds of melanoma patients (AJCC stage III/IV) and the majority are metastases. Even though we found a few morphologic indicators for metastatic or non-metastatic lung nodules, morphology has limited value to predict the presence of lung metastases.