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Imaging and Management of Subsolid Lung Nodules
Raad, Roy A; Garrana, Sherief; Moreira, Andre L; Moore, William H; Ko, Jane P
Subsolid nodules (SSNs) are increasingly encountered in chest computed tomography (CT) imaging and clinical practice, as awareness of their significance and CT utilization grows. Either part-solid or solely ground-glass in attenuation, SSNs are shown to correlate with lung adenocarcinomas and their precursors, although a differential diagnosis is to be considered that includes additional neoplastic and inflammatory etiologies. This review discusses the differential diagnosis for SSNs, imaging and clinical features, and pathology that are helpful when making management decisions that may include PET/CT, biopsy, or surgery. Potential pitfalls in nodule characterization and management will be highlighted, to aid in managing SSNs appropriately.
PMID: 40409933
ISSN: 1557-8275
CID: 5853772
Pulmonary Calcification and Ossification: Pathogenesis, CT Appearance, and Specific Disorders
Toussie, Danielle; Azour, Lea; Garrana, Sherief; Platt, Samantha; Osei, Kendrah; Asare, Belinda; Zinzuwadia, Shuchi; Voutsinas, Nicholas; Zhou, Fang; Czum, Julianna M
Pulmonary high attenuation may be caused by calcification or ossification, both of which are common phenomena with distinct pathogeneses, histologies, and radiologic appearances. Pulmonary calcification is divided into metastatic pulmonary calcification (MPC), caused by systemic hypercalcemia, and dystrophic pulmonary calcification (DPC), caused by local lung injury. MPC often demonstrates diffuse calcified nodules, which can be subtle and amorphous on CT images, with associated sandlike, fine ground-glass, or consolidative opacities. Conversely, DPC often appears nodular and is localized to areas of lung injury and thus is associated with other signs of lung damage, such as prior infection, fibrosis, or scarring. In contrast to calcification, pulmonary ossification is not a consequence of a localized or systemic metabolic abnormality but instead is found in the setting of chronic lung disease, which induces fibroblast-to-osteoblast transformation and bone deposition. Pulmonary ossification can be divided into nodular (NPO) and dendriform (DPO) patterns. NPO often appears as multiple small well-defined round nodules that are uniform in size and appearance. NPO classically is seen with chronic venous congestion in a subpleural predominant distribution and increasingly is recognized in pathologic findings in the setting of fibrosing interstitial lung disease (ILD). DPO appears more commonly as peripheral irregular branching opacities and can be seen with ILD. Additionally, pulmonary calcification or ossification can occur in association with protein deposition disease, including pulmonary amyloidosis, or in benign neoplasms or metastatic malignancies. Pulmonary alveolar microlithiasis is a distinct entity relating to phosphate metabolism. Pulmonary calcification and ossification can provide insight into patients' underlying disease processes and clinical context for radiologic study interpretation. ©RSNA, 2025 Supplemental material is available for this article.
PMID: 40338797
ISSN: 1527-1323
CID: 5839402
Trends in coronary calcium score and coronary CT angiography imaging volume during the COVID-19 pandemic
An, Thomas J; Kim, Nicole; King, Alexander H; Panzarini, Bruno; Little, Brent P; Goiffon, Reece J; Meyersohn, Nandini; Garrana, Sherief; Stowell, Justin; Saini, Sanjay; Ghoshhajra, Brian B; Hedgire, Sandeep; Succi, Marc D
OBJECTIVES/OBJECTIVE:The COVID-19 pandemic disrupted the delivery of preventative care and management of acute diseases. This study assesses the effect of the COVID-19 pandemic on coronary calcium score and coronary CT angiography imaging volume. MATERIALS AND METHODS/METHODS:A single institution retrospective review of consecutive patients presenting for coronary calcium score or coronary CT angiography examinations between January 1, 2020 to January 4, 2022 was performed. The weekly volume of calcium score and coronary CT angiogram exams were compared. RESULTS:In total, 1,817 coronary calcium score CT and 5,895 coronary CT angiogram examinations were performed. The average weekly volume of coronary CTA and coronary calcium score CT exams decreased by up to 83% and 100%, respectively, during the COVID-19 peak period compared to baseline (P < 0.0001). The post-COVID recovery through 2020 saw weekly coronary CTA volumes rebound to 86% of baseline (P = 0.024), while coronary calcium score CT volumes remained muted at only a 53% recovery (P < 0.001). In 2021, coronary CTA imaging eclipsed pre-COVID rates (P = 0.012), however coronary calcium score CT volume only reached 67% of baseline (P < 0.001). CONCLUSIONS:A significant decrease in both coronary CTA and coronary calcium score CT volume occurred during the peak-COVID-19 period. In 2020 and 2021, coronary CTA imaging eventually superseded baseline rates, while coronary calcium score CT volumes only reached two thirds of baseline. These findings highlight the importance of resumption of screening exams and should prompt clinicians to be aware of potential undertreatment of patients with coronary artery disease.
PMCID:9673185
PMID: 36473800
ISSN: 1535-6302
CID: 5646712
Imaging Patterns of Pneumonia
Cook, Alex E; Garrana, Sherief H; Martínez-Jiménez, Santiago; Rosado-de-Christenson, Melissa L
Imaging findings of pneumonia are diverse, with frequent overlap between the various infectious etiologies of pneumonia, as well as various other disease conditions, including inflammatory conditions, vasculitis, and malignancy. In the appropriate clinical context, a number of imaging findings and the patterns that they form on imaging may provide clues that enable radiologists and clinicians to narrow the differential diagnostic considerations. Although a definite diagnosis can rarely be provided based on imaging findings alone, the combination of clinical, imaging, and laboratory findings are usually sufficient for accurate diagnosis and management decisions. It is important for radiologists to recognize the wide variety of imaging patterns that occur with different causes of pneumonia, and recognize specific imaging signs of certain infections when present, thereby facilitating diagnosis and optimizing patient care.
PMID: 35090705
ISSN: 1558-4658
CID: 5646702
Comparison of Chest CT Findings of COVID-19, Influenza, and Organizing Pneumonia: A Multireader Study
Garrana, Sherief H; Som, Avik; Ndakwah, Gabrielle S; Yeung, Tristan; Febbo, Jennifer; Heeger, Allen P; Lang, Min; McDermott, Shaunagh; Mendoza, Dexter P; Zhang, Eric W; Sharma, Amita; Narayan, Anand K; Little, Brent P
PMID: 33852360
ISSN: 1546-3141
CID: 5646682
Comparison of Baseline, Bone-Subtracted, and Enhanced Chest Radiographs for Detection of Pneumothorax
Homayounieh, Fatemeh; Digumarthy, Subba R; Febbo, Jennifer A; Garrana, Sherief; Nitiwarangkul, Chayanin; Singh, Ramandeep; Khera, Ruhani Doda; Gilman, Matthew; Kalra, Mannudeep K
PURPOSE/OBJECTIVE:To assess and compare detectability of pneumothorax on unprocessed baseline, single-energy, bone-subtracted, and enhanced frontal chest radiographs (chest X-ray, CXR). METHOD AND MATERIALS/METHODS:Our retrospective institutional review board-approved study included 202 patients (mean age 53 ± 24 years; 132 men, 70 women) who underwent frontal CXR and had trace, moderate, large, or tension pneumothorax. All patients (except those with tension pneumothorax) had concurrent chest computed tomography (CT). Two radiologists reviewed the CXR and chest CT for pneumothorax on baseline CXR (ground truth). All baseline CXR were processed to generate bone-subtracted and enhanced images (ClearRead X-ray). Four radiologists (R1-R4) assessed the baseline, bone-subtracted, and enhanced images and recorded the presence of pneumothorax (side, size, and confidence for detection) for each image type. Area under the curve (AUC) was calculated with receiver operating characteristic analyses to determine the accuracy of pneumothorax detection. RESULTS:< .01). Most false-positive and false-negative pneumothoraces were detected on the bone-subtracted images and the least numbers on the enhanced radiographs. Highest detection rates and confidence were noted for the enhanced images (empiric AUC for R1-R4 0.96-0.99). CONCLUSION/CONCLUSIONS:Enhanced CXRs are superior to bone-subtracted and unprocessed radiographs for detection of pneumothorax. CLINICAL RELEVANCE/APPLICATION/CONCLUSIONS:Enhanced CXRs improve detection of pneumothorax over unprocessed images; bone-subtracted images must be cautiously reviewed to avoid false negatives.
PMID: 32186414
ISSN: 1488-2361
CID: 5646652
Coronary Artery Disease Reporting and Data System (CAD-RADS) Adoption: Analysis of Local Trends in a Large Academic Medical Center
Takigami, Angelo K; Thondapu, Vikas; Goiffon, Reece J; Depetris, Jena; Gupta, Sumit; Garrana, Sherief; Knyazev, Veniamin; Tower-Rader, Albree; Lu, Michael T; Meyersohn, Nandini; Hoffmann, Udo; Hedgire, Sandeep; Ghoshhajra, Brian
PURPOSE/OBJECTIVE:To perform a retrospective review of Coronary Artery Disease Reporting and Data System (CAD-RADS) adoption at a high-volume cardiac CT service. MATERIALS AND METHODS/METHODS:In this retrospective study, the adoption of CAD-RADS in 6562 coronary CT angiography (CTA) reports from January 1, 2017, to February 13, 2020, was evaluated. Reports without CAD-RADS were classified as opt-outs or exceptions to CAD-RADS. CAD-RADS classifications were retrospectively assigned to the opt-outs and the clinical indications for coronary CTA. RESULTS:= 126) included coronary dissections (44%), anomalous coronary arteries (41%), coronary artery aneurysms or pseudoaneurysms (10%), vasculitis (2%), stent complications (2%), and extrinsic compression of grafts (2%). CONCLUSION/CONCLUSIONS:Coronary Arteries, CT Angiography© RSNA, 2021.
PMCID:8250406
PMID: 34235445
ISSN: 2638-6135
CID: 5646692
Imaging of the Anterior/Prevascular Mediastinum
Garrana, Sherief H; Rosado-de-Christenson, Melissa L
Prevascular mediastinal masses include a wide range of benign and malignant entities. Localization of mediastinal masses to specific compartments together with characteristic imaging findings and demographic and clinical information allows formulation of a focused differential diagnosis. Radiologists may use these methods to distinguish between surgical and nonsurgical cases and thus inform patient management and have an impact on outcomes. Treatment of choice varies based on the pathology, ranging from no intervention or serial imaging follow-up to surgical excision, chemotherapy, and/or radiation.
PMID: 33551078
ISSN: 1557-8275
CID: 5646672
Clinical and Imaging Features of Non-Small-Cell Lung Cancer in Young Patients
Garrana, Sherief H; Dagogo-Jack, Ibiayi; Cobb, Rosemary; Kuo, Anderson H; Mendoza, Dexter P; Zhang, Eric W; Heeger, Allen; Sequist, Lecia V; Digumarthy, Subba R
BACKGROUND:Non-small-cell lung cancer (NSCLC) in young adult patients is rare, with scarce data available in patients aged < 40 years and even less in those aged < 35 years. Our goal was to determine the presenting symptoms, clinicopathologic characteristics, and imaging features of young patients with NSCLC at time of diagnosis and compare them to those of older adults. PATIENTS AND METHODS:We retrospectively analyzed the medical records and imaging of young patients (≤ 40 years old) with NSCLC treated at our institution between 1998 and 2018. Patients < 35 years old were compared to those between 35 and 40 years old. Characteristics of patients ≤ 40 years old were compared to older patients (> 40 years) from publicly available data sets. RESULTS:We identified 166 young patients with NSCLC (median age, 36.6 years; range, 18-40 years). Most presented with nonspecific respiratory symptoms and were diagnosed with pneumonia (84/136, 62%). Compared to patients < 35 years old, patients 35-40 years old were more likely to have malignancy detected incidentally (15% vs. 5%, P = .04). Patients < 35 years old were more likely to have central tumors (55% vs. 33%, P = .02) and to have bone (38% vs. 19%, P = .007) and lung (39% vs. 24%, P = .03) metastases. Compared to older patients (> 40 years), young patients were more likely to be never smokers (65.0% vs. 14.7%, P < .001) and to have advanced disease (88% vs. 66%, P < .001). CONCLUSION:Young patients with NSCLC often present with nonspecific symptoms and have advanced disease at diagnosis, often mimicking other pathologies. Awareness of the clinical presentation and imaging features of NSCLC in young patients may help minimize delays in diagnoses.
PMID: 33189594
ISSN: 1938-0690
CID: 5646662
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study
Som, Avik; Lang, Min; Yeung, Tristan; Carey, Denston; Garrana, Sherief; Mendoza, Dexter P; Flores, Efren J; Li, Matthew D; Sharma, Amita; McDermott, Shaunagh; Shepard, Jo-Anne O; Little, Brent P
BACKGROUND:RSNA expert consensus guidelines provide a framework for reporting CT findings related to COVID-19, but have had limited multireader validation. PURPOSE/OBJECTIVE:To assess the performance of the RSNA guidelines and quantify interobserver variability in application of the guidelines in patients undergoing chest CT for suspected COVID-19 pneumonia. MATERIALS AND METHODS/METHODS:A retrospective search from 1/15/20 to 3/30/20 identified 89 consecutive CT scans whose radiological report mentioned COVID-19. One positive or two negative RT-PCR tests for COVID-19 were considered the gold standard for diagnosis. Each chest CT scan was evaluated using RSNA guidelines by 9 readers (6 fellowship trained thoracic radiologists and 3 radiology resident trainees). Clinical information was obtained from the electronic medical record. RESULTS:There was strong concordance of findings between radiology training levels with agreement ranging from 60 to 86% among attendings and trainees (kappa 0.43 to 0.86). Sensitivity and specificity of "typical" CT findings for COVID-19 per the RSNA guidelines were on average 86% (range 72%-94%) and 80.2% (range 75-93%), respectively. Combined "typical" and "indeterminate" findings had a sensitivity of 97.5% (range 94-100%) and specificity of 54.7% (range 37-62%). A total of 163 disagreements were seen out of 801 observations (79.6% total agreement). Uncertainty in classification primarily derived from difficulty in ascertaining peripheral distribution, multiple dominant disease processes, or minimal disease. CONCLUSION/CONCLUSIONS:The "typical appearance" category for COVID-19 CT reporting has an average sensitivity of 86% and specificity rate of 80%. There is reasonable interreader agreement and good reproducibility across various levels of experience.
PMCID:7484923
PMID: 33778625
ISSN: 2638-6135
CID: 5603082