Percutaneous Robotics in Interventional Radiology.

The accuracy of the robotic device not only relies on a reproducible needle advancement, but also on the possibility to correct target movement at chosen checkpoints and to deviate from a linear to a nonlinear trajectory. We report our experience in using the robotic device for the insertion of trocar needles in CT guided procedures. The majority of procedures were targeted organ biopsies in the chest abdomen or pelvis. The accuracy of needle placement after target adjustments did not significantly differ from those patients where a linear trajectory could be used. The steering capabilities of the robot allow correction of target movement of the fly.

Feasibility and Accuracy of a Novel Hands-Free Robotic System for Percutaneous Needle Insertion and Steering.

PURPOSE: To assess the performance and accuracy of CT-guided needle insertion for clinical biopsies using a novel, hands-free robotic system that balances accuracy with the duration of the procedure and radiation dose. MATERIALS AND METHODS: A prospective, multi-center study was conducted on 60 clinically indicated biopsies of abdominal lesions at two centers (Center 1, n=26; Center 2, n=34). CT datasets were obtained for planning and controlled placement of 17g and 18g needles using a patient-mounted, CT-guided robotic system with 5 degrees of freedom. Planning included target selection, skin entry point, and predetermined checkpoints where additional imaging was performed to permit stepwise correction of the needle trajectory. Success rate, needle tip-to-target distance, number of checkpoints used, number of trajectory corrections, procedure duration, and effective radiation dose were recorded and compared between centers. RESULTS: In 55 of 60 procedures (91.7%), the robot positioned the trocar needle successfully on target. In the remaining 5 patients, the procedure was manually performed by the operator due to technical failure (n=3) or patient-related factors (n=2). The average lesion size was 2.8 ± 1.7cm with a lesion depth from the skin of 8.7 ± 2.6cm, and there was no difference between centers. The overall accuracy (needle tip-to-target distance) was 1.71 ± 1.49 (range 0.05-7.20mm), with an accuracy of 2.06 ± 1.45 mm at Center 1 and 1.45 ± 1.52 mm at Center 2 (p=0.1358). Center 1 used significantly more checkpoints (4.96 ± 1.08) and performed target adjustments in 20 of 24 (83%) cases compared to Center 2 (2.77 ± 0.6 checkpoints and target adjustments in 13 of 31 cases, 42%) (p=0.0024). Accordingly, the steering duration from skin entry to the target varied between Centers 1 and 2; 13.1min ± 4.25min vs. 5.7min ± 2.7min, respectively (p <0.001). The average DLP for the entire procedure was 1147 ± 820 mGycm, with a slightly lower average at Center 2 (1031 ± 724 mGycm) compared to Center 1 (1297 ± 925 mGycm) (p=0.236). CONCLUSION: Accurate needle-targeting within an error of 2mm can be achieved in patients using a CT-guided robotic system. The variation in the number of checkpoints did not affect system accuracy but was related to shorter steering times and may contribute to a lower radiation dose. Accurate needle insertion using a hands-free CT-guided robotic system may facilitate difficult needle placement and enhance the performance of less-experienced interventionalists.

Clinical evaluation of a robotic system for precise CT-guided percutaneous procedures.

PURPOSE: To assess accuracy and compare protocols for CT-guided needle insertion for clinical biopsies using a hands-free robotic system, balancing system accuracy with duration of procedure and radiation dose. METHODS: Thirty-two percutaneous abdominal and pelvic biopsies were performed and analyzed at two centers (Center 1 n = 11; Center 2 n = 21) as part of an ongoing prospective, multi-center study. CT datasets were obtained for planning and controlled placement of 17 g needles using a patient-mounted, CT-guided robotic system. Planning included target selection, skin entry point, and predetermined checkpoints. Additional CT imaging was performed at checkpoints to confirm needle location and permit stepwise correction of the trajectory. Center 1 used a more conservative approach with multiple checkpoints, whereas Center 2 used fewer checkpoints. Scanning and needle advancement were performed under respiratory gating. Accuracy, radiation dose, and steering duration were compared. RESULTS: Overall accuracy was 1.6 ± 1.5 mm (1.9 ± 1.2 mm Center 1; 1.5 ± 1.6 mm Center 2; p = 0.55). Mean distance to target was 86.2 ± 27.1 mm (p = 0.18 between centers). Center 1 used 4.6 ± 0.8 checkpoints, whereas Center 2 used 1.8 ± 0.6 checkpoints (p < 0.001). Effective radiation doses were lower for Center 1 than for Center 2 (22.2 ± 12.6 mSv vs. 11.7 ± 4.3 mSv; p = 0.002). Likewise, steering duration (from planning to target) was significantly reduced in relation to the number of checkpoints from 43.8 ± 15.9 min for Center 1 to 30.5 ± 10.2 min for Center 2 (p = 0.008). CONCLUSIONS: Accurate needle targeting with < 2 mm error can be achieved in patients when using a CT-guided robotic system. Judicious selection of the number of checkpoints may substantially reduce procedure time and radiation dose without sacrificing accuracy.

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.

PURPOSE: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and large population studies have indicated that low-dose computed tomography (CT) screening of the chest can significantly reduce this death rate. Recently, the usefulness of Deep Learning (DL) models for lung cancer risk assessment has been demonstrated. However, in many cases model performances are evaluated on small/medium size test sets, thus not providing strong model generalization and stability guarantees which are necessary for clinical adoption. In this work, our goal is to contribute towards clinical adoption by investigating a deep learning framework on larger and heterogeneous datasets while also comparing to state-of-the-art models. METHODS: Three low-dose CT lung cancer screening datasets were used: National Lung Screening Trial (NLST, n = 3410), Lahey Hospital and Medical Center (LHMC, n = 3154) data, Kaggle competition data (from both stages, n = 1397 + 505) and the University of Chicago data (UCM, a subset of NLST, annotated by radiologists, n = 132). At the first stage, our framework employs a nodule detector; while in the second stage, we use both the image context around the nodules and nodule features as inputs to a neural network that estimates the malignancy risk for the entire CT scan. We trained our algorithm on a part of the NLST dataset, and validated it on the other datasets. Special care was taken to ensure there was no patient overlap between the train and validation sets. RESULTS AND CONCLUSIONS: The proposed deep learning model is shown to: (a) generalize well across all three data sets, achieving AUC between 86% to 94%, with our external test-set (LHMC) being at least twice as large compared to other works; (b) have better performance than the widely accepted PanCan Risk Model, achieving 6 and 9% better AUC score in our two test sets; (c) have improved performance compared to the state-of-the-art represented by the winners of the Kaggle Data Science Bowl 2017 competition on lung cancer screening; (d) have comparable performance to radiologists in estimating cancer risk at a patient level.

External Fixation Devices Within the Magnetic Resonance Imaging Bore: A Safety and Radiologic Analysis.

OBJECTIVES: To (1) report the thermal changes encountered at the pin/skin interface in a cadaver with a knee-spanning external fixator inside the magnetic resonance imaging (MRI) bore and (2) report on the quality of the MRI sequences collected. METHODS: Three commonly used external fixation systems were placed on cadaveric lower extremities to simulate knee external fixation. Fiber optic thermal probes were placed at the pin/skin interface of a femoral and tibial pin. A control probe was embedded in the soft tissues of the thigh. Full knee MRI scans were performed using a 1.5-Tesla magnet. Real-time thermal data were collected. A clinically significant increase in temperature compared with the control was defined as 2°C. Two blinded radiologists evaluated the images for image quality and overall diagnostic utility using a standardized 5-point grading scale. RESULTS: There were statistically significant differences in the temperature changes between the femoral/tibial pin sites and the control probe sites during each phase of the MRI scan. However, there was only one clinically significant difference in temperature change during a single sequence of one MRI scan of one of the external fixator devices. Overall image quality was graded as a 4 for each image set with 100% interobserver agreement (k = 1.0). CONCLUSIONS: Despite significant differences in temperature changes between the pin sites and controls over multiple MRI sequences in commonly used external fixator devices, the differences in temperature change are likely not clinically relevant. Overall image quality and interpretability of the images were excellent.

Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling, Simulation, and Optimization Techniques.

Identifying areas for workflow improvement and growth is essential for an interventional radiology (IR) department to stay competitive. Deployment of traditional methods such as Lean and Six Sigma helped in reducing the waste in workflows at a strategic level. However, achieving efficient workflow needs both strategic and tactical approaches. Uncertainties about patient arrivals, staff availability, and variability in procedure durations pose hindrances to efficient workflow and lead to delayed patient care and staff overtime. We present an alternative approach to address both tactical and strategic needs using discrete event simulation (DES) and simulation based optimization methods. A comprehensive digital model of the patient workflow in a hospital-based IR department was modeled based on expert interviews with the incumbent personnel and analysis of 192 days' worth of electronic medical record (EMR) data. Patient arrival patterns and process times were derived from 4393 individual patient appointments. Exactly 196 unique procedures were modeled, each with its own process time distribution and rule-based procedure-room mapping. Dynamic staff schedules for interventional radiologists, technologists, and nurses were incorporated in the model. Stochastic model simulation runs revealed the resource "computed tomography (CT) suite" as the major workflow bottleneck during the morning hours. This insight compelled the radiology department leadership to re-assign time blocks on a diagnostic CT scanner to the IR group. Moreover, this approach helped identify opportunities for additional appointments at times of lower diagnostic scanner utilization. Demand for interventional service from Outpatients during late hours of the day required the facility to extend hours of operations. Simulation-based optimization methods were used to model a new staff schedule, stretching the existing pool of resources to support the additional 2.5 h of daily operation. In conclusion, this study illustrates that the combination of workflow modeling, stochastic simulations, and optimization techniques is a viable and effective approach for identifying workflow inefficiencies and discovering and validating improvement options through what-if scenario testing.

A Novel Technique of Ureteral Stricture Measurement: Impact on Diagnosis and Subsequent Management.

Background: Appropriate surgical management of ureteral strictures is dependent on not only the etiology of the stricture but also its location and characteristics. Stricture length and location play a significant role in potential surgical options, yet accurate evaluation of these features is limited. We present a case of a complex ureteral stricture where employment of an endoscopic tool in a novel manner helped to better evaluate the patient and provide more precise counseling in the preoperative setting. Case Presentation: A 65-year-old Caucasian man with a history of nephrolithiasis developed a complex ureteral stricture secondary to his calculus disease and prior instrumentation. His stricture was causing obstruction of his left collecting system and the patient was interested in a reconstructive procedure. We present a novel use for a pre-existing endoscopic tool that helped to more accurately delineate the characteristics of his ureteral stricture and improved preoperative planning. Conclusion: Determination of precise stricture length and location is of utmost importance for preoperative patient counseling and surgical planning. Where more sophisticated calibration technology is not available, use of an angiographic catheter during diagnostic endoscopy can improve preoperative assessment and surgical planning for complex ureteral reconstructive procedures.

The Use of Penile Computed Tomography Cavernosogram in the Evaluation of Peyronie's Disease: A Pilot Study.

BACKGROUND: Clinical assessment of Peyronie disease (PD) is unreliable and difficult to reproduce. AIM: To assess the utility of the computed tomography cavernosography (CTC) in evaluating the penile functional abnormalities of PD. METHODS: Men were placed in the Philips IQon Spectral CT scanner (Phillips, Cambridge, MA, USA) in the supine position. The penis was injected with trimix (papaverine 30 mg/cc, phentolamine 2 mg/cc, and prostaglandin 20 mcg/cc) in the left proximal base using a 27-gauge syringe. Clinical effect was assessed after 5 minutes. If penile erection was less rigid than adequate for penetration, the dose was repeated until a satisfactory result was achieved. A subcutaneous injection of 1% lidocaine for local analgesia was then injected into the left subcoronal corpora. After the maximum erection was obtained, a 20-gauge angiocatheter was inserted into the anesthetized area. The angiocatheter was connected via intravenous tubing to a 60-cc luer lock syringe of 50% mixture of iodinated contrast in normal saline. The penis was manually inflated until maximum erection was achieved as per the patient's report. The patient then underwent computed tomography scan. Upon completion, a reversal dose of phenylephrine was administered through the angiocatheter. The angiocatheter was then removed, and a penile compression dressing was applied. OUTCOMES: Images were assessed for degree of curvature, presence of corporal involvement, and location of corporal involvement. RESULTS: 63 men underwent CTC. The average age was 57 years (95% confidence interval [CI]: 54, 60). Duration of PD was 5.2 years (95% CI: 3, 7). Diabetes and hypogonadism were found in 15% and 50% of men, respectively. The primary angulation was 52° (95% CI: 40, 60). Multiple angulations were found in 80% of men with 3 or more degrees of angulation in 14%. Bilateral corporal involvement was found in 87%, and proximal involvement was found in 64%. Dorsal/dorsolateral, ventral/ventrolateral, lateral, and hourglass/corkscrew deformities were seen in 58%, 23%, 12%, and 7%, respectively. Average dose of trimix (mg-papaverine + mg-phentolamine + mcg-PGE-1), contrast dose, and radiation dose per scan were 26 (22, 31), 55 cc (47, 63), and 770 mGy∗cm (902, 638), respectively. CLINICAL IMPLICATIONS: CTC may reveal additional information regarding the anatomy of the penis in men with PD which is not readily available by existing methods of evaluation. STRENGTHS & LIMITATIONS: We evaluated a small cohort of men with CTC which allowed for detailed visualization and assessment of their PD. This study is limited by the small sample of patients, retrospective nature, and absence of clinical outcomes which will require further study in the future. CONCLUSION: The CTC may be useful in clearly defining the corporal abnormalities in men with PD. McCullough AR, Trussler J, Alnammi M, et al. The Use of Penile Computed Tomography Cavernosogram in the Evaluation of Peyronie's Disease: A Pilot Study. J Sex Med 2020;17:1041-1043.

Percutaneous Transjejunal Biliary Access in 60 Patients with Bilioenteric Anastomoses.

PURPOSE: To determine success and complication rates of percutaneous transjejunal biliary access (PTJBA) in patients with bilioenteric anastomoses. MATERIALS AND METHODS: In a single-center, retrospective study, 169 PTJBA procedures were performed over a 13.8-y period in 60 subjects (47 male; mean age, 54.5 y). Indications for biliary interventions were cholangitis (137 cases, 45 subjects) or hyperbilirubinemia (32 cases, 18 subjects). All patients had antecolic bilioenteric anastomoses without surgical fixation to the peritoneum (liver transplantation with hepaticojejunostomy, n = 37; hepatectomy with hepaticojejunostomy, n = 8; hepaticojejunostomy only, n = 12; pancreaticoduodenectomy, n = 3). RESULTS: Initial PTJBA was successful in 140 cases (82.8%) in 35 subjects (58.3%). Twenty-one additional PTJBAs (12.4%) in 18 subjects (30.0%) were performed secondarily following a conventional transhepatic approach. Radiographic markers on the Roux-en-Y limb (P = .14, odds ratio [OR] = 2.98) or preprocedural imaging (P = .13, OR = 10.00) did not increase the odds of successful PTJBA. There were 7 major complications (4.3%) in 6 patients (10.0%) requiring hospitalization longer than 5 d, and 37 minor complications (23.0%) in 19 patients (31.7%). No procedure-related mortality was observed. Minor and major complication rates were not affected by time between bilioenteric anastomosis creation and PTJBA (P = .70, OR = 1.00; P = .62, OR = 1.00), longer dwell time of a transjejunal drain (P = .68, OR = 1.02; P = .49, OR = 0.71), or access size (P = .40, OR = 0.85; P = .23, OR = 0.59). CONCLUSIONS: PTJBA is a relatively safe technique with a high success rate in patients with bilioenteric loops that are not surgically fixed to the peritoneum.

Adherence to Radiology Recommendations in a Clinical CT Lung Screening Program.

BACKGROUND: Assess patient adherence to radiologist recommendations in a clinical CT lung cancer screening program. METHODS: Patients undergoing CT lung cancer screening between January 12, 2012, and June 12, 2013, were included in this institutional review board-approved retrospective review. Patients referred from outside our institution were excluded. All patients met National Comprehensive Cancer Network Guidelines Lung Cancer Screening high-risk criteria. Full-time program navigators used a CT lung screening program management system to schedule patient appointments, generate patient result notification letters detailing the radiologist follow-up recommendation, and track patient and referring physician notification of missed appointments at 30, 60, and 90 days. To be considered adherent, patients could be no more than 90 days past due for their next recommended examination as of September 12, 2014. Patients who died, were diagnosed with cancer, or otherwise became ineligible for screening were considered adherent. Adherence rates were assessed across multiple variables. RESULTS: During the study interval, 1,162 high-risk patients were screened, and 261 of 1,162 (22.5%) outside referrals were excluded. Of the remaining 901 patients, 503 (55.8%) were male, 414 (45.9%) were active smokers, 377 (41.8%) were aged 65 to 73, and >95% were white. Of the 901 patients, 772 (85.7%) were adherent. Most common reasons for nonadherence were patient refusal of follow-up exam (66.7%), inability to successfully contact the patient (20.9%), and inability to obtain the follow-up order from the referring provider (7.8%); 23 of 901 (2.6%) were discharged for other reasons. CONCLUSIONS: High rates of adherence to radiologist recommendations are achievable for in-network patients enrolled in a clinical CT lung screening program.

Automatic Lung-RADS™ classification with a natural language processing system.

BACKGROUND: Our aim was to train a natural language processing (NLP) algorithm to capture imaging characteristics of lung nodules reported in a structured CT report and suggest the applicable Lung-RADS™ (LR) category. METHODS: Our study included structured, clinical reports of consecutive CT lung screening (CTLS) exams performed from 08/2014 to 08/2015 at an ACR accredited Lung Cancer Screening Center. All patients screened were at high-risk for lung cancer according to the NCCN Guidelines®. All exams were interpreted by one of three radiologists credentialed to read CTLS exams using LR using a standard reporting template. Training and test sets consisted of consecutive exams. Lung screening exams were divided into two groups: three training sets (500, 120, and 383 reports each) and one final evaluation set (498 reports). NLP algorithm results were compared with the gold standard of LR category assigned by the radiologist. RESULTS: The sensitivity/specificity of the NLP algorithm to correctly assign LR categories for suspicious nodules (LR 4) and positive nodules (LR 3/4) were 74.1%/98.6% and 75.0%/98.8% respectively. The majority of mismatches occurred in cases where pulmonary findings were present not currently addressed by LR. Misclassifications also resulted from the failure to identify exams as follow-up and the failure to completely characterize part-solid nodules. In a sub-group analysis among structured reports with standardized language, the sensitivity and specificity to detect LR 4 nodules were 87.0% and 99.5%, respectively. CONCLUSIONS: An NLP system can accurately suggest the appropriate LR category from CTLS exam findings when standardized reporting is used.

Magnetic Resonance Imaging of Trauma Patients Treated With Contemporary External Fixation Devices: A Multicenter Case Series.

OBJECTIVES: To report the safety and clinical outcomes of placing current magnetic resonance imaging (MRI) components inside and outside the MRI bore during MRIs. DESIGN: Retrospective case series. SETTING: Four trauma centers (3 Level I and 1 Level II), from January 2005 to January 2015. PATIENTS: All patients who had MRIs with external fixators in place either inside or outside the MRI bore. INTERVENTION: MRI of patients with external fixator in place. MAIN OUTCOME MEASUREMENTS: Adverse events were defined as catastrophic pullout of the external fixator during the MRI, thermal injury to the skin, severe field distortions precluding the intended imaging, alterations of the magnetic field, or visible structural damage to the magnet casing. RESULTS: Thirty-eight patients with 44 external fixators were identified who had MRI with the fixator inside or outside the MRI bore. Twelve patients with 13 external fixators had MRI with the external fixator inside the MRI bore. Twenty-seven patients with 32 external fixators had MRI with the external fixator outside the MRI bore. There were no adverse events. CONCLUSIONS: Although no universal guidelines exist, there are circumstances in which obtaining MRIs of patients with external fixators can be safe. This is the first clinical series with the primary outcome of safety when placing modern external components both inside and outside an MRI bore during a scan. LEVEL OF EVIDENCE: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Inpatient Complexity in Radiology-a Practical Application of the Case Mix Index Metric.

With ongoing healthcare payment reforms in the USA, radiology is moving from its current state of a revenue generating department to a new reality of a cost-center. Under bundled payment methods, radiology does not get reimbursed for each and every inpatient procedure, but rather, the hospital gets reimbursed for the entire hospital stay under an applicable diagnosis-related group code. The hospital case mix index (CMI) metric, as defined by the Centers for Medicare and Medicaid Services, has a significant impact on how much hospitals get reimbursed for an inpatient stay. Oftentimes, patients with the highest disease acuity are treated in tertiary care radiology departments. Therefore, the average hospital CMI based on the entire inpatient population may not be adequate to determine department-level resource utilization, such as the number of technologists and nurses, as case length and staffing intensity gets quite high for sicker patients. In this study, we determine CMI for the overall radiology department in a tertiary care setting based on inpatients undergoing radiology procedures. Between April and September 2015, CMI for radiology was 1.93. With an average of 2.81, interventional neuroradiology had the highest CMI out of the ten radiology sections. CMI was consistently higher across seven of the radiology sections than the average hospital CMI of 1.81. Our results suggest that inpatients undergoing radiology procedures were on average more complex in this hospital setting during the time period considered. This finding is relevant for accurate calculation of labor analytics and other predictive resource utilization tools.

Smoking cessation results in a clinical lung cancer screening program.

BACKGROUND: Lung cancer screening may provide a "teachable moment" for promoting smoking cessation. This study assessed smoking cessation and relapse rates among individuals undergoing follow-up low-dose chest computed tomography (CT) in a clinical CT lung screening program and assessed the influence of initial screening results on smoking behavior. METHODS: Self-reported smoking status for individuals enrolled in a clinical CT lung screening program undergoing a follow-up CT lung screening exam between 1st February, 2014 and 31st March, 2015 was retrospectively reviewed and compared to self-reported smoking status using a standardized questionnaire at program entry. Point prevalence smoking cessation and relapse rates were calculated across the entire population and compared with exam results. All individuals undergoing screening fulfilled the National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology: Lung Cancer Screening v1.2012(®) high-risk criteria and had an order for CT lung screening. RESULTS: A total of 1,483 individuals underwent a follow-up CT lung screening exam during the study interval. Smoking status at time of follow-up exam was available for 1,461/1,483 (98.5%). A total of 46% (678/1,461) were active smokers at program entry. The overall point prevalence smoking cessation and relapse rates were 20.8% and 9.3%, respectively. Prior positive screening exam results were not predictive of smoking cessation (OR 1.092; 95% CI, 0.715-1.693) but were predictive of reduced relapse among former smokers who had stopped smoking for 2 years or less (OR 0.330; 95% CI, 0.143-0.710). Duration of program enrollment was predictive of smoking cessation (OR 0.647; 95% CI, 0.477-0.877). CONCLUSIONS: Smoking cessation and relapse rates in a clinical CT lung screening program rates are more favorable than those observed in the general population. Duration of participation in the screening program correlated with increased smoking cessation rates. A positive exam result correlated with reduced relapse rates among smokers recently quit smoking.

Performance of ACR Lung-RADS in a Clinical CT Lung Screening Program.

PURPOSE: The aim of this study was to assess the effect of applying ACR Lung-RADS in a clinical CT lung screening program on the frequency of positive and false-negative findings. METHODS: Consecutive, clinical CT lung screening examinations performed from January 2012 through May 2014 were retroactively reclassified using the new ACR Lung-RADS structured reporting system. All examinations had initially been interpreted by radiologists credentialed in structured CT lung screening reporting following the National Comprehensive Cancer Network's Clinical Practice Guidelines in Oncology: Lung Cancer Screening (version 1.2012), which incorporated positive thresholds modeled after those in the National Lung Screening Trial. The positive rate, number of false-negative findings, and positive predictive value were recalculated using the ACR Lung-RADS-specific positive solid/part-solid nodule diameter threshold of 6 mm and nonsolid (ground-glass) threshold of 2 cm. False negatives were defined as cases reclassified as benign under ACR Lung-RADS that were diagnosed with malignancies within 12 months of the baseline examination. RESULTS: A total of 2,180 high-risk patients underwent baseline CT lung screening during the study interval; no clinical follow-up was available in 577 patients (26%). ACR Lung-RADS reduced the overall positive rate from 27.6% to 10.6%. No false negatives were present in the 152 patients with >12-month follow-up reclassified as benign. Applying ACR Lung-RADS increased the positive predictive value for diagnosed malignancy in 1,603 patients with follow-up from 6.9% to 17.3%. CONCLUSIONS: The application of ACR Lung-RADS increased the positive predictive value in our CT lung screening cohort by a factor of 2.5, to 17.3%, without increasing the number of examinations with false-negative results.

Experience With a CT Screening Program for Individuals at High Risk for Developing Lung Cancer.

PURPOSE: The aim of this study was to compare results of National Comprehensive Cancer Network (NCCN) high-risk group 2 with those of NCCN high-risk group 1 in a clinical CT lung screening program. METHODS: The results of consecutive clinical CT lung screening examinations performed from January 2012 through December 2013 were retrospectively reviewed. All examinations were interpreted by radiologists credentialed in structured CT lung screening reporting, following the NCCN Clinical Practice Guidelines in Oncology: Lung Cancer Screening (version 1.2012). Positive results required a solid nodule ≥4 mm, a ground-glass nodule ≥5 mm, or a mediastinal or hilar lymph node >1 cm, not stable for >2 years. Significant incidental findings and findings suspicious for pulmonary infection were also recorded. RESULTS: A total of 1,760 examinations were performed (464 in group 2, 1,296 in group 1); no clinical follow-up was available in 432 patients (28%). Positive results, clinically significant incidental findings, and suspected pulmonary infection were present in 25%, 6%, and 6% in group 2 and 28.2%, 6.2%, and 6.6% in group 1, respectively. Twenty-three cases of lung cancer were diagnosed (6 in group 2, 17 in group 1), for annualized rates of malignancy of 1.8% in group 2 and 1.6% in group 1. CONCLUSION: NCCN group 2 results were substantively similar to those for group 1 and closely resemble those reported in the National Lung Screening Trial. Similar rates of positivity and lung cancer diagnosis in both groups suggest that thousands of additional lives may be saved each year if screening eligibility is expanded to include this particular high-risk group.

Surgical Outcomes in a Large, Clinical, Low-Dose Computed Tomographic Lung Cancer Screening Program.

BACKGROUND: Lung cancer screening with low-dose computed tomography is proven to reduce lung cancer mortality among high-risk patients. However, critics raise concern over the potential for unnecessary surgical procedures performed for benign disease as a result of screening. We reviewed our outcomes in a large clinical lung cancer screening program to assess the number of surgical procedures done for benign disease, as we believe this is an important quality metric. METHODS: We retrospectively reviewed our surgical outcomes of consecutive patients who underwent low-dose computed tomography lung cancer screening from January 2012 through June 2014 using a prospectively collected database. All patients met the National Comprehensive Cancer Network lung cancer screening guidelines high-risk criteria. RESULTS: There were 1,654 screened patients during the study interval with clinical follow-up at Lahey Hospital & Medical Center. Twenty-five of the 1,654 (1.5%) had surgery. Five of 25 had non-lung cancer diagnoses: 2 hamartomas, 2 necrotizing granulomas, and 1 breast cancer metastasis. The incidence of surgery for non-lung cancer diagnosis was 0.30% (5 of 1,654), and the incidence of surgery for benign disease was 0.24% (4 of 1,654). Twenty of 25 had lung cancer, 18 early stage and 2 late stage. There were no surgery-related deaths, and there was 1 major surgical complication (4%) at 30 days. CONCLUSIONS: The incidence of surgical intervention for non-lung cancer diagnosis was low (0.30%) and is comparable to the rate reported in the National Lung Screening Trial (0.62%). Surgical intervention for benign disease was rare (0.24%) in our experience.

Experience with a CT screening program for individuals at high risk for developing lung cancer.

PURPOSE: The aim of this study was to compare results of National Comprehensive Cancer Network (NCCN) high-risk group 2 with those of NCCN high-risk group 1 in a clinical CT lung screening program. METHODS: The results of consecutive clinical CT lung screening examinations performed from January 2012 through December 2013 were retrospectively reviewed. All examinations were interpreted by radiologists credentialed in structured CT lung screening reporting, following the NCCN Clinical Practice Guidelines in Oncology: Lung Cancer Screening (version 1.2012). Positive results required a solid nodule ≥4 mm, a ground-glass nodule ≥5 mm, or a mediastinal or hilar lymph node >1 cm, not stable for >2 years. Significant incidental findings and findings suspicious for pulmonary infection were also recorded. RESULTS: A total of 1,760 examinations were performed (464 in group 2, 1,296 in group 1); no clinical follow-up was available in 432 patients (28%). Positive results, clinically significant incidental findings, and suspected pulmonary infection were present in 25%, 6%, and 6% in group 2 and 28.2%, 6.2%, and 6.6% in group 1, respectively. Twenty-three cases of lung cancer were diagnosed (6 in group 2, 17 in group 1), for annualized rates of malignancy of 1.8% in group 2 and 1.6% in group 1. CONCLUSION: NCCN group 2 results were substantively similar to those for group 1 and closely resemble those reported in the National Lung Screening Trial. Similar rates of positivity and lung cancer diagnosis in both groups suggest that thousands of additional lives may be saved each year if screening eligibility is expanded to include this particular high-risk group.