The added value of an AI-based body composition analysis in a lung cancer screening population: preliminary results.

BACKGROUND AND AIMS: Body composition has been linked with clinical and prognostic outcomes in patients with cancer and cardiovascular diseases. Body composition analysis in lung cancer screening (LCS) is very limited. This study aimed at assessing the association of subcutaneous fat volume (SFV) and subcutaneous fat density (SFD), measured on chest ultra-low dose computed tomography (ultra-LDCT) images by a fully automated artificial intelligence (AI)-based software, with clinical and anthropometric characteristics in a LCS population. METHODS AND RESULTS: Demographic, clinical, and dietary data were obtained from the written questionnaire completed by each participant at the first visit, when anthropometric measurements, blood sample collection and chest ultra-LDCT were performed. Images were analyzed for automated 3D segmentation of subcutaneous fat and muscle. The analysis included 938 volunteers (372 females); men with a smoking history of ≥40 pack-years had higher SFV (p = 0.0009), while former smokers had lower SFD (p = 0.0019). In female participants, SFV and SFD differed significantly according to age. SFV increased with rising BMI, waist circumference, waist-hip ratio, and CRP levels ≥2 mg/L (p < 0.0001), whereas SFD decreased with rising BMI, waist circumference, waist-hip ratio, and CRP levels ≥2 mg/L (p < 0.001) in both sexes. SFV was associated with glycemia and triglycerides levels (p = 0.0067 and p=<0.0001 in males, p = 0.0074 and p < 0.0001 in females, respectively), while SFD with triglycerides levels (p < 0.0001). CONCLUSION: We observed different associations of SFV and SFD with age and smoking history between men and women, whereas the association with anthropometric data, CRP, glycemia and triglycerides levels was similar in the two sexes.

Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology.

Smoking is the main risk factor for lung cancer (LC), which is the leading cause of cancer-related death worldwide. Independent randomized controlled trials, governmental and inter-governmental task forces, and meta-analyses established that LC screening (LCS) with chest low dose computed tomography (LDCT) decreases the mortality of LC in smokers and former smokers, compared to no-screening, especially in women. Accordingly, several Italian initiatives are offering LCS by LDCT and smoking cessation to about 10,000 high-risk subjects, supported by Private or Public Health Institutions, envisaging a possible population-based screening program. Because LDCT is the backbone of LCS, Italian radiologists with LCS expertise are presenting this position paper that encompasses recommendations for LDCT scan protocol and its reading. Moreover, fundamentals for classification of lung nodules and other findings at LDCT test are detailed along with international guidelines, from the European Society of Thoracic Imaging, the British Thoracic Society, and the American College of Radiology, for their reporting and management in LCS. The Italian College of Thoracic Radiologists produced this document to provide the basics for radiologists who plan to set up or to be involved in LCS, thus fostering homogenous evidence-based approach to the LDCT test over the Italian territory and warrant comparison and analyses throughout National and International practices.

Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval.

OBJECTIVES: The 2019 Lung CT Screening Reporting & Data System version 1.1 (Lung-RADS v1.1) introduced volumetric categories for nodule management. The aims of this study were to report the distribution of Lung-RADS v1.1 volumetric categories and to analyse lung cancer (LC) outcomes within 3 years for exploring personalized algorithm for lung cancer screening (LCS). METHODS: Subjects from the Multicentric Italian Lung Detection (MILD) trial were retrospectively selected by National Lung Screening Trial (NLST) criteria. Baseline characteristics included selected pre-test metrics and nodule characterization according to the volume-based categories of Lung-RADS v1.1. Nodule volume was obtained by segmentation with dedicated semi-automatic software. Primary outcome was diagnosis of LC, tested by univariate and multivariable models. Secondary outcome was stage of LC. Increased interval algorithms were simulated for testing rate of delayed diagnosis (RDD) and reduction of low-dose computed tomography (LDCT) burden. RESULTS: In 1248 NLST-eligible subjects, LC frequency was 1.2% at 1 year, 1.8% at 2 years and 2.6% at 3 years. Nodule volume in Lung-RADS v1.1 was a strong predictor of LC: positive LDCT showed an odds ratio (OR) of 75.60 at 1 year (p < 0.0001), and indeterminate LDCT showed an OR of 9.16 at 2 years (p = 0.0068) and an OR of 6.35 at 3 years (p = 0.0042). In the first 2 years after negative LDCT, 100% of resected LC was stage I. The simulations of low-frequency screening showed a RDD of 13.6-21.9% and a potential reduction of LDCT burden of 25.5-41%. CONCLUSIONS: Nodule volume by semi-automatic software allowed stratification of LC risk across Lung-RADS v1.1 categories. Personalized screening algorithm by increased interval seems feasible in 80% of NLST eligible. KEY POINTS: • Using semi-automatic segmentation of nodule volume, Lung-RADS v1.1 selected 10.8% of subjects with positive CT and 96.87 relative risk of lung cancer at 1 year, compared to negative CT. • Negative low-dose CT by Lung-RADS v1.1 was found in 80.6% of NLST eligible and yielded 40 times lower relative risk of lung cancer at 2 years, compared to positive low-dose CT; annual screening could be preference sensitive in this group. • Semi-automatic segmentation of nodule volume and increased screening interval by volumetric Lung-RADS v1.1 could retrospectively suggest a 25.5-41% reduction of LDCT burden, at the cost of 13.6-21.9% rate of delayed diagnosis.

Contrast-Enhanced Ultrasound-Guided Percutaneous Biopsy of the Peritoneum: A Series of 3 Cases.

In the presence of peritoneal disease, patients often should undergo biopsy of the peritoneum for acquiring a specific pathologic diagnosis. Ultrasound is ideal for guiding peritoneal biopsy, although in some situations, it can be technically challenging. The addition of a contrast agent can improve the visualization of lesions and adjacent organs, providing radiologists increased confidence. A contrast agent can identify perfused areas within the target lesion, improving diagnostic accuracy. We present 3 cases of contrast-enhanced ultrasound-guided peritoneal biopsy. In all cases, we gained a specific diagnosis. No immediate or delayed complications occurred. Contrast-enhanced ultrasound-guided biopsy proved to be a simple, safe, and accurate diagnostic method.

Development of a prognostic score to predict response to Yttrium-90 radioembolization for hepatocellular carcinoma with portal vein invasion.

BACKGROUND & AIMS: Yttrium-90 transarterial radioembolization (TARE) has shown promising efficacy in the treatment of patients with hepatocellular carcinoma (HCC), associated with portal vein tumor thrombus (PVTT). The aim of this study is to identify prognostic factors for survival in patients with HCC and PVTT undergoing TARE, and build a prognostic classification for these patients. METHODS: This is a single center retrospective study conducted over six years (2010-2015), on consecutive patients undergoing TARE. Patients were included if they met the following criteria: presence of at least one measurable HCC, presence of PVTT not occluding the main portal trunk, absence of extrahepatic metastases, Child-Pugh score within B7, Eastern Cooperative Oncology Group performance status 0-1. Uni- and multivariable analysis was used to explore the variables that showed an independent relationship with survival. A prognostic score was then derived, and three prognostic categories were identified. RESULTS: A total of 120 patients were included in the study. Median overall survival (OS) was 14.1 months (95% CI 10.7-17.5) and median progression-free survival (PFS) was 6.5 months (95% CI 3.8-9.2). The only variables independently correlated with OS were bilirubin, extension of PVTT and tumor burden. Three prognostic categories were identified: favourable prognosis (0 points), intermediate prognosis (2-3 points) and dismal prognosis (>3 points). Median OS in the three categories was 32.2 months, 14.9 months and 7.8 months respectively (p <0.0001). PFS (p = 0.045) and the risk of liver decompensation (p <0.0001) also significantly differed along the same prognostic categories. CONCLUSIONS: Radioembolization with Yttrium-90 is an effective therapy for patients with HCC and PVTT. The proposed prognostic stratification may help to better identify good candidates for the treatment, and those for whom TARE may be futile. LAY SUMMARY: Yttrium-90 transarterial radioembolization (TARE) is a microembolic procedure that minimizes alterations to hepatic arterial flow, and thus can be safely performed in patients with hepatocellular carcinoma (HCC) and portal vein tumor thrombus (PVTT). In this study, we retrospectively evaluated the independent predictors of long-term outcomes in patients with HCC and PVTT treated with TARE. Bilirubin level, extension of PVTT and tumor burden were independently related to post-treatment survival: the combination of these factors allowed us to build a prognostic stratification that may help to better identify good candidates for the treatment, and those for whom TARE may be futile.

Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.

PURPOSE: To assess the feasibility of grading soft tissue sarcomas (STSs) using MRI features (radiomics). MATERIALS AND METHODS: MRI (echo planar SE, 1.5T) from 19 patients with STSs and a known histological grading, were retrospectively analyzed. The apparent diffusion coefficient (ADC) maps, obtained by diffusion-weighted imaging acquisitions, were analyzed through 65 radiomic features, intensity-based (first order statistics, FOS) and texture (gray level co-occurrence matrix, GLCM; and gray level run length matrix, GLRLM) features. Feature selection (sequential forward floating search) and classification (k-nearest neighbor classifier) were performed to distinguish intermediate- from high-grade STSs. Classification was performed using the three different sub-groups of features separately as well as all the features together. The entire dataset was divided in three subsets: the training, validation and test set, containing, respectively, 60, 30, and 10% of the data. RESULTS: Intermediate-grade lesions had a higher and less disperse ADC values compared with high-grade ones: most of FOS related to intensity are higher for the intermediate-grade STSs, while FOS related to signal variability were higher in the high grade (e.g., the feature variance is 2.6*105 ± 0.9*105 versus 3.3*105 ± 1.6*105 , P = 0.3). The GLCM features related to entropy and dissimilarity were higher in the high-grade. When performing classification, the best accuracy is obtained with a maximum of three features for each subgroup, FOS features being those leading to the best classification (validation set: FOS accuracy 0.90 ± 0.11, area under the curve [AUC] 0.85 ± 0.16; test set: FOS accuracy 0.88 ± 0.25, AUC 0.87 ± 0.34). CONCLUSION: Good accuracy and AUC could be obtained using only few Radiomic features, belonging to the FOS class. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:829-840.

Different pixel pitch and maximum luminance of medical grade displays may result in different evaluations of digital radiography images.

AIM: To evaluate the effects of display pixel pitch and maximum luminance on intra- and inter-observer reproducibility and observer performance when evaluating chest lesions and bone fractures. MATERIALS AND METHODS: This was a multi-institutional study for a retrospective interpretation of selected digital radiography images. Overall, 82 images were selected by senior radiologists, including 50 cases of chest lesions and 32 cases of bone fractures. These images were displayed at two pixel pitches (0.212 and 0.165 mm size pixels) and two maximum luminance values (250 and 500 cd/m2) and reviewed twice by senior and junior radiologists. All the observers had to indicate the likelihood of the presence of the lesions and to rate the relative confidence of their assessment. Cohen Kappa statistic was computed to estimate the reproducibility in correctly identifying lesions; for multi-reader-multi-case (MRMC) analysis, weighted Jackknife Alternative Free-response Receiver Operating Characteristic (wJAFROC) statistical tools was applied. RESULTS: The intra-radiologist and inter-observer reproducibility values were the highest for the 0.165 mm size pixel at 500 cd/m2 display, for both chest lesions and bone fractures evaluations. As regards chest lesions, observer performances were significantly greater with 0.165 mm size pixel display at 500 cd/m2 than with lower maximum luminance and/or larger pixel pitch displays. Concerning bone fractures, the performance obtained with 0.212 mm size pixel display at 250 cd/m2 was statistically lower than that obtained with 0.165 mm sixe pixel display at 500 cd/m2. CONCLUSION: Our results indicate that an increased maximum luminance level and a decreased pixel pitch of medical-grade display improve the accuracy of detecting both chest lesions and bone fractures.

Pleural plaques in lung cancer screening by low-dose computed tomography: prevalence, association with lung cancer and mortality.

BACKGROUND: To report the prevalence of pleural plaques in a lung cancer screening trial by low-dose computed tomography (LDCT) and to test the association with incidence of lung cancer and mortality. METHODS: The LDCT of 2303 screenees were retrospectively reviewed with the specific aim of describing the prevalence and features of pleural plaques. Self-administered questionnaire was used to assess asbestos exposure. Frequency of lung cancer, lung cancer mortality, and overall mortality were detailed according to presence of pleural findings. Statistical analyses included comparison of mean or median, contingency tables, and Cox model for calculation of hazard ratio (HR) and its 95% confidence interval (CI). RESULTS: Among male screenees, 31/1570 (2%) showed pleural abnormalities, 128/1570 (8.2%) disclosed asbestos exposure, 23/31 (74.2%) subjects with pleural plaques consistently denied exposure to asbestos. There was a trend for higher frequency of lung cancer among subjects with pleural plaques (9.7% vs 4.2%). Lung cancer in subjects with pleural plaques was always diagnosed in advanced stage. Subjects with pleural plaques showed HR 5.48 (95% CI 1.61-18.70) for mortality from lung cancer. CONCLUSIONS: Pleural plaques are a risk factor for lung cancer mortality that can be detected in lung cancer screening by LDCT, also in subjects that are not aware of asbestos exposure. TRIAL REGISTRATION: NCT02837809 - Retrospectively registered July 1, 2016 - Enrolment of first participant September 2005.

Drug-eluting beads versus conventional chemoembolization for the treatment of unresectable hepatocellular carcinoma.

BACKGROUND AND AIM: Solid demonstrations of superior efficacy of drug-eluting beads transarterial chemoembolization with respect to conventional chemoembolization in hepatocellular carcinoma patients are lacking. The aim of the study was to compare these two techniques in two large cohorts of unresectable hepatocellular carcinoma patients. METHODS: A single center series of 249 early/intermediate hepatocellular carcinoma patients who underwent "on demand" chemoembolization in the period 2007-2011 was analyzed. Overall survival, time to progression, tumor response rate, and safety were compared between 104 patients who underwent conventional chemoembolization and 145 who underwent drug-eluting beads chemoembolization. Time-to-event data were analyzed using the Cox univariate and multivariate regression. RESULTS: The two cohorts resulted balanced for liver function and tumor stages. Objective response rate was 85.3% after conventional and 74.8% after drug-eluting beads chemoembolization (P = 0.039), and median time to progression was 17 (95% confidence interval: 14-21) versus 11 months (9-12), respectively (P < 0.001). Treatment regimen was the sole independent predictor of progression at multivariate analysis (hazard ratio = 2.01; 1.45-2.80; P < 0.001). Median survival was 39 (32-47) and 32 (24-39) months in the two groups, respectively (hazard ratio = 1.33; 0.94-1.87; P = 0.10), but conventional chemoembolization was significantly associated with a survival advantage in patients with bilobar neoplasia, portal hypertension and alpha fetoprotein above normal limits. No significant differences in severe adverse events were found. CONCLUSION: In a large series of Western hepatocellular carcinoma patients, drug-eluting beads chemoembolization with 100-300 µm particles did not seem to improve survival in comparison with conventional chemoembolization, which in turn provided better tumor responses and time to progression.

[Lung cancer screening in high-risk subjects: early detection with LDCT and risk stratification using miRNA-based blood test]. / Screening per il tumore polmonare in soggetti ad alto rischio: diagnosi precoce con TC spirale associata a stratificazione del rischio con miRNA circolanti.

Lung cancer still remains a high mortality disease in the face of developments in diagnostic and therapeutic methods that occurred in the last 20 years. The analysis of the experiences from the first studies - in which chest X-ray (CXR) was adopted, associated or not with sputum cytology - has failed to show a reduction in lung cancer specific mortality. Subsequent screening studies that have introduced the use of low-dose computed tomography (LDCT) have revealed a large number of early-stage lung cancers, thus potentially curable; however, this has not allowed us to demonstrate a decrease in lung cancer-specific mortality. With the results of the American study National Lung ScreeningTrial (NLST), published in 2011, for the first time a lung cancer-specific mortality reduction by 20% thanks to the use of LDCT compared to RXT, was highlighted. However, a false discovery rate of 96.4% was also described with an overdiagnosis that can be up to 78.9% for bronchioalveolar lung cancer. Due to the high sensitivity of LDCT, able to identify a non-calcified pulmonary nodule in one subject on two, it becomes necessary to avail instruments to more accurately identify suspicious nodules. Until some time ago, the possible use of lung tumour markers was not viable in view of the poor organ specificity. The study and development was, then, pushed to organ- and tissue-specific markers such as microRNA (miRNA), noncoding RNA sequences involved in many processes and expression of oncogenic activity of the microenvironment. The use of biomarkers such as circulating miRNA implemented in LDCT screening has highlighted a reduction of 5 times for the rate of false positives, going from 19.4% to 3.7%, with a sensitivity of 87%, a specificity of 81%, and a negative predictive value of 99%. The need to appropriately use the available resources commensurate with the disease to treat will push more and more towards the implementation of LDCT biomarkers based screenings, stable and easily reproducible, as circulating miRNAs, obviating to problems such as false positives, unnecessary procedures of invasive surgery for benign lesions, and optimizing the cost benefit ratios.The development of new specific biomarkers appears to offer new promising prospects.

Yttrium-90 radioembolization for intermediate-advanced hepatocellular carcinoma: a phase 2 study.

UNLABELLED: Yttrium-90 radioembolization (Y90RE) is a novel approach to radiation therapy for hepatocellular carcinoma (HCC), never tested in phase 2 studies. Fifty-two patients with intermediate (n.17) to advanced (n.35) HCC were prospectively recruited to assess, as the primary endpoint, efficacy of Y90RE on time-to-progression (TTP). Secondary endpoints were tumor response, safety, and overall survival (OS). All patients were Eastern Cooperative Oncology Group (ECOG) score 0-1, Child-Pugh class A-B7. Y90RE treatments aimed at a lobar delivery of 120 Gy. Retrospective dosimetric correlations were conducted and related to response. Fifty-eight treatments were performed on 52 patients. The median follow-up was 36 months. The median TTP was 11 months with no significant difference between portal vein thrombosis (PVT) versus no PVT (7 versus 13 months). The median OS was 15 months (95% confidence interval [CI], 12-18 months) with a nonsignificant trend in favor of non-PVT versus PVT patients (18 versus 13 months). Five complete responses occurred (9.6%), and the 2 year-progression rate was 62%. Objective response was 40.4%, whereas the disease control rate (78.8%) significantly affected survival (responders versus nonresponders: 18.4% versus 9.1%; P = 0.009). Tumor response significantly correlated with absorbed dose in target lesions (r = 0.60, 95% CI, 0.41-0.74, P < 0.001) and a threshold of 500 Gy predicted response (area under the curve, 0.78). Mortality at 30-90 days was 0%-3.8%. Various grades of reduction in liver function occurred within 6 months in 36.5% of patients, with no differences among stages. On multivariate analysis, tumor response was the sole variable affecting TTP (P < 0.001) and the second affecting survival (after Child-Pugh class). CONCLUSION: Y90RE is an effective treatment in intermediate to advanced HCC, particularly in the case of PVT. Further prospective evaluations comparing Y90RE with conventional treatments are warranted.

Is postoperative computed tomography evaluation a prognostic indicator in patients with optimally debulked advanced ovarian cancer?

OBJECTIVE: To compare the surgeon's intraoperative assessment of residual tumor (RT) disease with that identified on postoperative computed tomography (CT) in patients undergoing optimal primary surgical cytoreduction (RT <1 cm) and to identify the prognostic significance of postoperative CT scan of RT. METHODS: Patients with FIGO stage III-IV ovarian cancer treated at the Gynecologic Oncology Unit of the National Cancer Institute between November 2011 and March 2013, who underwent optimal primary cytoreduction and were entered in prospective controlled clinical trials requiring a baseline postoperative CT evaluation within 30 days, were enrolled. All CT scans were reviewed by a dedicated radiologist to evaluate RT. Median follow-up was 16 months. RESULTS: 64 out of 160 patients met the eligibility criteria. RT = 0, 0.1 < RT < 0.5 cm, and 0.6 < RT < 1 cm was reported in 53 (82.8%), 9 (14.1%) and 2 (3.1%) cases, respectively. Postoperative CT disagreed with RT in 13 out of 64 (20.3%) cases. Progression-free survival (PFS) of patients with a positive and negative postoperative CT scan of RT was 5 months (95% CI 1-15 months) and 28 months (95% CI 2-46 months), respectively (p < 0.0001). Evidence of the disease using postoperative CT was an independent prognostic factor in multivariate analysis (HR = 8.87, 95% CI = 3.23-24.31, p < 0.0001). CONCLUSIONS: Evidence of the disease using postoperative CT was associated with a significant decrease in PFS in patients who underwent optimal primary cytoreduction. RT status as evaluated with early postoperative CT may have an important role in prognostic assessment.

Cylindrical TGR as early radiological predictor of RLT progression in GEPNETs: a proof of concept.

This study aims to assess the predictive capability of cylindrical Tumor Growth Rate (cTGR) in the prediction of early progression of well-differentiated gastro-entero-pancreatic tumours after Radio Ligand Therapy (RLT), compared to the conventional TGR. Fifty-eight patients were included and three CT scans per patient were collected at baseline, during RLT, and follow-up. RLT response, evaluated at follow-up according to RECIST 1.1, was calculated as a percentage variation of lesion diameters over time (continuous values) and as four different RECIST classes. TGR between baseline and interim CT was computed using both conventional (approximating lesion volume to a sphere) and cylindrical (called cTGR, approximating lesion volume to an elliptical cylinder) formulations. Receiver Operating Characteristic (ROC) curves were employed for Progressive Disease class prediction, revealing that cTGR outperformed conventional TGR (area under the ROC equal to 1.00 and 0.92, respectively). Multivariate analysis confirmed the superiority of cTGR in predicting continuous RLT response, with a higher coefficient for cTGR (1.56) compared to the conventional one (1.45). This study serves as a proof of concept, paving the way for future clinical trials to incorporate cTGR as a valuable tool for assessing RLT response.

Surveillance of subsolid nodules avoids unnecessary resections in lung cancer screening: long-term results of the prospective BioMILD trial.

Background: The management of subsolid nodules (SSNs) in lung cancer screening (LCS) is still a topic of debate, with no current uniform strategy to deal with these lesions at risk of overdiagnosis and overtreatment. The BioMILD LCS trial has implemented a prospective conservative approach for SSNs, managing with annual low-dose computed tomography nonsolid nodules (NSNs) and part-solid nodules (PSNs) with a solid component <5 mm, regardless of the size of the nonsolid component. The present study aims to determine the lung cancer (LC) detection and survival in BioMILD volunteers with SSNs. Materials and methods: Eligible participants were 758 out of 4071 (18.6%) BioMILD volunteers without baseline LC and at least one SSN detected at the baseline or further low-dose computed tomography rounds. The outcomes of the study were LC detection and long-term survival. Results: A total of 844 NSNs and 241 PSNs were included. LC detection was 3.7% (31 out of 844) in NSNs and 7.1% (17 out of 241) in PSNs, being significantly greater in prevalent than incident nodules (8.4% versus 1.3% in NSNs; 14.1% versus 2.1% in PSNs; p-value for both nodule types p<0.01). Most LCs from SSNs were stage I (42/48, 87.5%), resectable (47/48, 97.9%), and caused no deaths. The 8-year cumulative survival of volunteers with LC derived from SSNs and not derived from SSNs was 93.8% and 74.9%, respectively. Conclusion: Conservative management of SSNs in LCS enables timely diagnosis and treatment of LCs arising from SSNs while ensuring the resection of more aggressive LCs detected away from SSNs.

Blood microRNA testing in participants with suspicious low-dose CT findings: follow-up of the BioMILD lung cancer screening trial.

Background: The proper management of suspicious radiologic findings is crucial to optimize the effectiveness of low-dose computed tomography (LDCT) lung cancer screening trials. In the BioMILD study, we evaluated the utility of combining a plasma 24-microRNA signature classifier (MSC) and LDCT to define the individual risk and personalize screening strategies. Here we aim to assess the utility of repeated MSC testing during annual screening rounds in 1024 participants with suspicious LDCT findings. Methods: The primary outcome was two-year lung cancer incidence in relation to MSC test results, reported as relative risk (RR) with 95% confidence interval (CI). Lung cancer incidence and mortality were estimated using extended Cox models for time-dependent covariates, yielding the respective hazard ratios (HR). Clinicaltrials.gov ID: NCT02247453. Findings: With a median follow-up of 8.5 years, the full study set included 1403 indeterminate LDCT (CTind) and 584 positive LDCT (CT+) results. A lung cancer RR increase in MSC+ compared to MSC- participants was observed in both the CTind (RR: 2.5; 95% CI: 1.4-4.32) and CT+ (RR: 2.6; 95% CI: 1.81-3.74) groups and was maintained when considering stage I or resectable tumors only. A 98% negative predictive value in CTind/MSC- and a 30% positive predictive value in CT+/MSC+ lesions were recorded. At seven years' follow-up, MSC+ participants had a cumulative HR of 4.4 (95% CI: 3.0-6.4) for lung cancer incidence and of 8.1 (95% CI: 2.7-24.5) for lung cancer mortality. Interpretation: Our study shows that MSC can be reliably performed during LDCT screening rounds to increase the accuracy of lung cancer risk and mortality prediction and supports its clinical utility in the management of LDCT findings of uncertain malignancy. Funding: Italian Association for Cancer Research; Italian Ministry of Health; Horizon2020; National Cancer Institute (NCI); Gensignia LifeScience.

Clinical and immunologic responses in melanoma patients vaccinated with MAGE-A3-genetically modified lymphocytes.

Cancer vaccines have recently been shown to induce some clinical benefits. The relationship between clinical activity and anti-vaccine T cell responses is somewhat controversial. Indeed, in many trials it has been documented that the induction of vaccine-specific T cells exceeds the clinical responses observed. Here, we evaluate immunological and clinical responses in 23 MAGE-A3(+) melanoma patients treated with autologous lymphocytes genetically engineered to express the tumor antigen MAGE-A3 and the viral gene product thymidine kinase of the herpes simplex virus (HSV-TK). HSV-TK was used as safety system in case of adverse events and as tracer antigen to monitor the immune competence of treated patients. The increase of anti-TK and anti-MAGE-A3 T-cells after vaccination was observed in 90 and 27% of patients, respectively. Among 19 patients with measurable disease, we observed a disease control rate of 26.3%, with one objective clinical response, and four durable, stable diseases. Three patients out of five with no evidence of disease (NED) at the time of vaccination remained NED after 73+, 70+ and 50+ months. Notably, we report that only patients experiencing MAGE-A3-specific immune responses showed a clinical benefit. Additionally, we report that responder and non-responder patients activate and expand T cells against the tracer antigen TK in a similar way, suggesting that local rather than systemic immune suppression might be involved in limiting clinically relevant antitumor immune responses.

Automated Coronary Artery Calcium and Quantitative Emphysema in Lung Cancer Screening: Association With Mortality, Lung Cancer Incidence, and Airflow Obstruction.

PURPOSE: To assess automated coronary artery calcium (CAC) and quantitative emphysema (percentage of low attenuation areas [%LAA]) for predicting mortality and lung cancer (LC) incidence in LC screening. To explore correlations between %LAA, CAC, and forced expiratory value in 1 second (FEV 1 ) and the discriminative ability of %LAA for airflow obstruction. MATERIALS AND METHODS: Baseline low-dose computed tomography scans of the BioMILD trial were analyzed using an artificial intelligence software. Univariate and multivariate analyses were performed to estimate the predictive value of %LAA and CAC. Harrell C -statistic and time-dependent area under the curve (AUC) were reported for 3 nested models (Model survey : age, sex, pack-years; Model survey-LDCT : Model survey plus %LAA plus CAC; Model final : Model survey-LDCT plus selected confounders). The correlations between %LAA, CAC, and FEV 1 and the discriminative ability of %LAA for airflow obstruction were tested using the Pearson correlation coefficient and AUC-receiver operating characteristic curve, respectively. RESULTS: A total of 4098 volunteers were enrolled. %LAA and CAC independently predicted 6-year all-cause (Model final hazard ratio [HR], 1.14 per %LAA interquartile range [IQR] increase [95% CI, 1.05-1.23], 2.13 for CAC ≥400 [95% CI, 1.36-3.28]), noncancer (Model final HR, 1.25 per %LAA IQR increase [95% CI, 1.11-1.37], 3.22 for CAC ≥400 [95%CI, 1.62-6.39]), and cardiovascular (Model final HR, 1.25 per %LAA IQR increase [95% CI, 1.00-1.46], 4.66 for CAC ≥400, [95% CI, 1.80-12.58]) mortality, with an increase in concordance probability in Model survey-LDCT compared with Model survey ( P <0.05). No significant association with LC incidence was found after adjustments. Both biomarkers negatively correlated with FEV 1 ( P <0.01). %LAA identified airflow obstruction with a moderate discriminative ability (AUC, 0.738). CONCLUSIONS: Automated CAC and %LAA added prognostic information to age, sex, and pack-years for predicting mortality but not LC incidence in an LC screening setting. Both biomarkers negatively correlated with FEV 1 , with %LAA enabling the identification of airflow obstruction with moderate discriminative ability.

Ultra-low dose computed tomography protocols using spectral shaping for lung cancer screening: Comparison with low-dose for volumetric LungRADS classification.

PURPOSE: To compare Low-Dose Computed Tomography (LDCT) with four different Ultra-Low-Dose Computed Tomography (ULDCT) protocols for PN classification according to the Lung Reporting and Data System (LungRADS). METHODS: Three hundred sixty-one participants of an ongoing lung cancer screening (LCS) underwent single-breath-hold double chest Computed Tomography (CT), including LDCT (120kVp, 25mAs; CTDIvol 1,62 mGy) and one ULDCT among: fully automated exposure control ("ULDCT1"); fixed tube-voltage and current according to patient size ("ULDCT2"); hybrid approach with fixed tube-voltage ("ULDCT3") and tube current automated exposure control ("ULDCT4"). Two radiologists (R1, R2) assessed LungRADS 2022 categories on LDCT, and then after 2 weeks on ULDCT using two different kernels (R1: Qr49ADMIRE 4; R2: Br49ADMIRE 3). Intra-subject agreement for LungRADS categories between LDCT and ULDCT was measured by the k-Cohen Index with Fleiss-Cohen weights. RESULTS: LDCT-dominant PNs were detected in ULDCT in 87 % of cases on Qr49ADMIRE 4 and 88 % on Br49ADMIRE 3. The intra-subject agreement was: κULDCT1 = 0.89 [95 %CI 0.82-0.96]; κULDCT2 = 0.90 [0.81-0.98]; κULDCT3 = 0.91 [0.84-0.99]; κULDCT4 = 0.88 [0.78-0.97] on Qr49ADMIRE 4, and κULDCT1 = 0.88 [0.80-0.95]; κULDCT2 = 0.91 [0.86-0.96]; κULDCT3 = 0.87 [0.78-0.95]; and κULDCT4 = 0.88 [0.82-0.94] on Br49ADMIRE 3. LDCT classified as LungRADS 4B were correctly identified as LungRADS 4B at ULDCT3, with the lowest radiation exposure among the tested protocols (median effective doses were 0.31, 0.36, 0.27 and 0.37 mSv for ULDCT1, ULDCT2, ULDCT3, and ULDCT4, respectively). CONCLUSIONS: ULDCT by spectral shaping allows the detection and characterization of PNs with an excellent agreement with LDCT and can be proposed as a feasible approach in LCS.

Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial.

Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-year mortality in the Multicentric Italian Lung Detection (MILD) LCS trial. The study included 2239 volunteers of the MILD trial who underwent a baseline LDCT from September 2005 to January 2011, with a median follow-up of 190 months. The CAC score was measured by a commercially available fully automated artificial intelligence (AI) software and stratified into five strata: 0, 1-10, 11-100, 101-400, and > 400. Twelve-year all-cause mortality was 8.5% (191/2239) overall, 3.2% with CAC = 0, 4.9% with CAC = 1-10, 8.0% with CAC = 11-100, 11.5% with CAC = 101-400, and 17% with CAC > 400. In Cox proportional hazards regression analysis, CAC > 400 was associated with a higher 12-year all-cause mortality both in a univariate model (hazard ratio, HR, 5.75 [95% confidence interval, CI, 2.08-15.92] compared to CAC = 0) and after adjustment for baseline confounders (HR, 3.80 [95%CI, 1.35-10.74] compared to CAC = 0). All-cause mortality significantly increased with increasing CAC (7% in CAC ≤ 400 vs. 17% in CAC > 400, Log-Rank p-value <0.001). Non-cancer at 12 years mortality was 3% (67/2239) overall, 0.8% with CAC = 0, 1.0% with CAC = 1-10, 2.9% with CAC = 11-100, 3.6% with CAC = 101-400, and 8.2% with CAC > 400 (Grey's test p < 0.001). In Fine and Gray's competing risk model, CAC > 400 predicted 12-year non-cancer mortality in a univariate model (sub-distribution hazard ratio, SHR, 10.62 [95% confidence interval, CI, 1.43-78.98] compared to CAC = 0), but the association was no longer significant after adjustment for baseline confounders. In conclusion, fully automated CAC scoring was effective in predicting all-cause mortality at 12 years in a LCS setting.