1
|
Pillai AK, Steigner ML, Aghayev A, Ahmad S, Ferencik M, Kandathil A, Kirsch DS, Lee YJ, Nagpal P, O'Neil K, Partovi S, Revels S, Ripley B, Russell RR, Saboo SS, Tannenbaum A, Thomas R, Wells BJ, Yu HS, Kalva SP. ACR Appropriateness Criteria® Pulmonary Arteriovenous Malformation (PAVM): 2023 Update. J Am Coll Radiol 2024; 21:S268-S285. [PMID: 38823949 DOI: 10.1016/j.jacr.2024.02.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
Pulmonary arteriovenous malformations (PAVMs) occur in 30% to 50% of patients with hereditary hemorrhagic telangiectasia. Clinical presentations vary from asymptomatic disease to complications resulting from the right to left shunting of blood through the PAVM such as paradoxical stroke, brain abscesses, hypoxemia, and cardiac failure. Radiology plays an important role both in the diagnosis and treatment of PAVM. Based on different clinical scenarios, the appropriate imaging study has been reviewed and is presented in this document. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
Collapse
Affiliation(s)
- Anil K Pillai
- University of Texas Southwestern Medical Center, Dallas, Texas.
| | | | - Ayaz Aghayev
- Panel Vice Chair, Brigham & Women's Hospital, Boston, Massachusetts
| | - Sarah Ahmad
- University of Toronto, Toronto, Ontario, Canada; American College of Physicians
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; Society of Cardiovascular Computed Tomography
| | - Asha Kandathil
- University of Texas Southwestern Medical Center, Dallas, Texas; Commission on Nuclear Medicine and Molecular Imaging
| | | | - Yoo Jin Lee
- University of California San Francisco, San Francisco, California
| | - Prashant Nagpal
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Kevin O'Neil
- Wilmington Health, Wilmington, North Carolina; American College of Chest Physicians
| | | | - Sha'Shonda Revels
- UCLA Medical Center, Los Angeles, California; The Society of Thoracic Surgeons
| | - Beth Ripley
- VA Puget Sound Health Care System and University of Washington, Seattle, Washington
| | - Raymond R Russell
- The Warren Alpert School of Medicine at Brown University, Providence, Rhode Island; Nuclear cardiology expert
| | | | | | - Richard Thomas
- Lahey Hospital and Medical Center, Burlington, Massachusetts
| | - Bryan J Wells
- Emory University, Atlanta, Georgia; American Society of Echocardiography
| | - Hei Shun Yu
- Brigham & Women's Hospital, Boston, Massachusetts; Committee on Emergency Radiology-GSER
| | - Sanjeeva P Kalva
- Specialty Chair, Massachusetts General Hospital, Boston, Massachusetts
| |
Collapse
|
2
|
Clough A, Sanders J, Banfill K, Faivre-Finn C, Price G, Eccles CL, Aznar MC, Van Herk M. A novel use for routine CBCT imaging during radiotherapy to detect COVID-19. Radiography (Lond) 2022; 28:17-23. [PMID: 34332857 PMCID: PMC8299223 DOI: 10.1016/j.radi.2021.07.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/21/2021] [Accepted: 07/11/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Thoracic CT is a useful tool in the early diagnosis of patients with COVID-19. Typical appearances include patchy ground glass shadowing. Thoracic radiotherapy uses daily cone beam CT imaging (CBCT) to check for changes in patient positioning and anatomy prior to treatment through a qualitative assessment of lung appearance by radiographers. Observation of changes related to COVID-19 infection during this process may facilitate earlier testing improving patient management and staff protection. METHODS A tool was developed to create overview reports for all CBCTs for each patient throughout their treatment. Reports contain coronal maximum intensity projection (MIP's) of all CBCTs and plots of lung density over time. A single therapeutic radiographer undertook a blinded off-line audit that reviewed 150 patient datasets for tool optimisation in which medical notes were compared to image findings. This cohort included 75 patients treated during the pandemic and 75 patients treated between 2014 and 2017. The process was repeated retrospectively on a subset of the 285 thoracic radiotherapy patients treated between January-June 2020 to assess the efficiency of the tool and process. RESULTS Three patients in the n = 150 optimisation cohort had confirmed COVID-19 infections during their radiotherapy. Two of these were detected by the reported image assessment process. The third case was not detected on CBCT due to minimal density changes in the visible part of the lungs. Within the retrospective cohort four patients had confirmed COVID-19 based on RT-PCR tests, three of which were retrospectively detected by the reported process. CONCLUSION The preliminary results indicate that the presence of COVID-19 can be detected on CBCT by therapeutic radiographers. IMPLICATIONS FOR PRACTICE This process has now been extended to clinical service with daily assessments of all thoracic CBCTs. Changes noted are referred for oncologist review.
Collapse
Affiliation(s)
- A Clough
- The Christie NHSFT, Manchester, United Kingdom.
| | - J Sanders
- The Christie NHSFT, Manchester, United Kingdom
| | - K Banfill
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C Faivre-Finn
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - G Price
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - C L Eccles
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - M Van Herk
- The Christie NHSFT, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| |
Collapse
|
3
|
Liang TI, Lee EY. Pediatric Pulmonary Nodules: Imaging Guidelines and Recommendations. Radiol Clin North Am 2021; 60:55-67. [PMID: 34836566 DOI: 10.1016/j.rcl.2021.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Incidental pulmonary nodules are not infrequently identified on computed tomography imaging in the pediatric population and can be a challenge in suggesting appropriate follow-up recommendations. An evidence-based and practical imaging approach for diagnosis and appropriate directed management is essential for optimal patient care. This article provides an up-to-date review of the pediatric pulmonary nodule literature and suggests a practical algorithm to manage pulmonary nodules in the pediatric population.
Collapse
Affiliation(s)
- Teresa I Liang
- Department of Radiology & Diagnostic Imaging, Stollery Children's Hospital and University of Alberta, 8440 112 Street NW, Edmonton, AB T6G 2B7, Canada.
| | - Edward Y Lee
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, 330 Longwood Avenue, Boston, MA 02115, USA
| |
Collapse
|
4
|
Comparison of 0.3-mSv CT to Standard-Dose CT for Detection of Lung Nodules in Children and Young Adults With Cancer. AJR Am J Roentgenol 2021; 217:1444-1451. [PMID: 34232694 DOI: 10.2214/ajr.21.26183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: CT is the imaging modality of choice to identify lung metastasis. Objective: The purpose of this study was to evaluate the performance of reduced-dose CT for detection of lung nodules in children and young adults with cancer. Methods: This prospective study enrolled patients 4-21 years old with known or suspected malignancy who were undergoing clinically indicated chest CT. Study participants underwent an additional investigational reduced-dose chest CT in the same imaging encounter. Separated deidentified CT examinations were reviewed in blinded fashion by three independent radiologists. One reviewer performed a subsequent secondary review to match nodules between the standard- and reduced-dose examinations. Diagnostic performance was computed for the reduced-dose examinations, using clinical examinations as reference standard. Intraobserver and interobserver agreement were calculated using Cohen's Kappa. Results: A total of 78 patients (44 male, 34 female; mean age 15.2±3.8 years) were enrolled. Mean estimated effective dose was 1.8±1.1 mSv for clinical CT and 0.3±0.1 mSv for reduced-dose CT, an 83% reduction. Forty-five (58%) patients had 162 total lung nodules (mean size 3.4±3.3 mm) detected on the clinical CT examinations. A total of 92% of nodules were visible on reduced-dose CT. Sensitivity and specificity of reduced-dose CT for nodules ranged from 63%-77% and 80%-90% respectively across the three reviewers. Intraobserver agreement between clinical and reduced-dose CT was moderate to substantial for presence of nodules (κ=0.45-0.67), and good to excellent for number of nodules (κ=0.68-0.84) and nodule size (κ=0.69-0.86). Interobserver agreement for the presence of nodules was moderate for both reduced-dose (κ=0.53) and clinical (κ=0.54) CT. A median of 1 nodule was present on clinical CT in patients with a falsely negative reduced-dose CT examination. Conclusion: Reduced-dose CT depicts greater than 90% of lung nodules in children and young adults with cancer. Reviewers identified the presence of nodules with moderate sensitivity and high specificity. Clinical Impact: CT performed at 0.3 mSv mean effective dose has acceptable diagnostic performance for lung nodule detection in children and young adults and has the potential to reduce patient dose or expand CT utilization (e.g., to replace radiography in screening or monitoring protocols).
Collapse
|
5
|
Naeem MQ, Darira J, Ahmed MS, Hamid K, Ali M, Shazlee MK. Comparison of Maximum Intensity Projection and Volume Rendering in Detecting Pulmonary Nodules on Multidetector Computed Tomography. Cureus 2021; 13:e14025. [PMID: 33898115 PMCID: PMC8057938 DOI: 10.7759/cureus.14025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Introduction Lung cancer is the most common cancer overall, and the foremost cause of cancer-related mortality. Almost all lung cancers evolve from pulmonary nodules. As multidetector CT (MDCT) scanners are now widely available, there is an increased rate of detection of pulmonary nodules. It is of utmost importance to evaluate pulmonary nodules to rule out the possibility of neoplastic diseases. With advancements in technology, there are various manual and automatic analytic software providing a wide range of post-processing techniques. Maximum intensity projection (MIP) and volume rendering (VR) techniques have been analyzed previously regarding pulmonary nodules but there is a scarcity of data in terms of low-density nodules. This study aims to delineate the comparison and supremacy of both techniques in terms of low-density nodules. Methodology The current prospective study was conducted from June 2019 to June 2020 in the Radiology Department at Dr. Ziauddin Hospital, Karachi. Chest CT scans were performed on 16 slice MDCT (Alexion 16 Multi-slice, Toshiba Medical System Corporation, Houston, TX). A consultant radiologist of six years experience and a postgraduate trainee of three years experience analyzed each patient on a workstation (Vitrea 6.2.0, Vital Images, Minnetonka, MN). SPSS 23.0 (SPSS Inc., Chicago, IL) was incorporated for data analysis. Data were expressed in the median and interquartile range (IQR). Data collected for this study were analyzed using analyzing the median difference in nodule count using Wilcoxon's signed-rank test. A p-value of <0.05 was considered significant. Results After informed consent, 236 patients were recruited for the study. MIP outperformed VR in terms of nodule detection and low-density nodules at each evaluated slab thicknesses (p<0.001). A 10-mm MIP was superior to all other techniques in terms of detection of pulmonary nodules and low-density nodules (p<0.001). MIP was also considered an easier technique as there was excellent inter-rater reliability and agreement. Conclusion This study is robust evidence regarding the supremacy of MIP. MIP outperformed VR on every slab thicknesses. The 10-mm MIP technique was superior to all others evaluated and was recorded to be an easier analyzing technique.
Collapse
Affiliation(s)
| | - Jaideep Darira
- Diagnostic Radiology, Dr. Ziauddin Hospital, Karachi, PAK
| | | | - Kamran Hamid
- Diagnostic Radiology, Dr. Ziauddin Hospital, Karachi, PAK
| | - Muhammad Ali
- Diagnostic Radiology, Dr. Ziauddin Hospital, Karachi, PAK
| | | |
Collapse
|
6
|
Jabeen N, Qureshi R, Sattar A, Baloch M. Diagnostic Accuracy of Maximum Intensity Projection in Diagnosis of Malignant Pulmonary Nodules. Cureus 2019; 11:e6120. [PMID: 31886058 PMCID: PMC6903899 DOI: 10.7759/cureus.6120] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Introduction Pulmonary nodules are frequently encountered during chest imaging, and its evaluation is usually done by chest radiograph and computed tomography (CT) scan of chest. High resolution of multidetector CT (MDCT) has improved the nodule detection. Post processing techniques such as maximum intensity projection (MIP) can further improve the sensitivity of MDCT for nodule detection. Failure to diagnose malignancy in pulmonary nodules can delay the treatment. Therefore, the aim of this study was to determine the diagnostic accuracy of MIP in the diagnosis of malignant pulmonary nodules taking histopathology findings as gold standard. Materials and methods A retrospective cross-sectional study was conducted at Dow Institute of Radiology, Dow University of Health Sciences, from 1 December 2018 till 30 June 2019. Both male and female patients aged 18 years and above who underwent CT scan of chest with suspicion of pulmonary nodules were included. Patients already diagnosed with malignant pulmonary nodules and presenting for follow-up were excluded. Contrast-enhanced CT chest was performed on a multi-slice scanner. MIP reconstruction and evaluation was performed on the workstation. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of MIP were calculated taking histopathology findings as gold standard. Results A total of 202 patients were included in this study. The mean age of the patients was 55.87 ± 13.08 years. A total of 103 patients (51.0%) were males and 99 patients (49.0%) were females. There were 131 (64.9%) nodules with smooth margins and 71 (35.1%) nodules with irregular margins. The mean size of nodule was 3.1 ± 0.7 cm. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of MIP in diagnosing malignant pulmonary nodules were found to be 85.82%, 82.35%, 90.55%, 74.67%, and 84.65%, respectively, taking histopathology findings as gold standard. The nodules >3 cm in size had a higher sensitivity for diagnosing malignant pulmonary nodules. Smooth margin nodule had high sensitivity, specificity, and diagnostic accuracy for diagnosing malignant pulmonary nodules. Conclusion MIP images have high sensitivity, specificity, and diagnostic accuracy in the diagnosis of malignant pulmonary nodules. The utilization of MIP images can aid in the detection of malignant pulmonary nodules and help in formulating early treatment strategies for the patients. Other post processing techniques such as volume rendering and computer-aided detection can help in further improving patient care.
Collapse
Affiliation(s)
- Naila Jabeen
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Ruby Qureshi
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Amjad Sattar
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Musarat Baloch
- Internal Medicine, Liaquat University of Medical and Health Sciences, Hyderabad/Jamshoro, PAK
| |
Collapse
|
7
|
Shim J, Yoon M, Lee Y. Feasibility of fast non local means filter in pediatric chest x-ray for increasing of pulmonary nodule detectability with 3D printed lung nodule phantom. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2019; 39:872-890. [PMID: 31167171 DOI: 10.1088/1361-6498/ab2755] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
General x-ray images have a lower probability of nodule detection than other modalities. Especially in children, the probability of nodule detection can likely drop due to poor image quality from using low radiation dose. To demonstrate the effectiveness of fast non-local means (FNLM) filter to increase the probability of nodule detection in pediatric chest x-ray images and reduce radiation dose while maintaining image quality. Quantitative assessment of normalised noise power spectrum (NNPS), coefficient of variation (COV) and contrast to noise ratio (CNR) were performed after applying four filters (median, Wiener, total variation and FNLM) on a 1-year-old child phantom. A 3D-printed patient nodule phantom was inserted into the phantom. Assessment was performed on AP and LAT view images acquired with the tube voltage reduced to 38 and 27%, and tube current reduced to 84 and 61%, respectively. The results showed the lowest NNPS and COV values and the highest CNR value when the FNLM filter applied. Moreover, the AP view results showed 37% decrease in COV and 30% increase in CNR in images with the FNLM filter applied (images exposed with the tube voltage and current reduced to 29% and 50%, respectively). The LAT view results showed 5% decrease in COV and 36% increase in CNR in images with the FNLM filter applied (images exposed with the tube current reduced by 27%). By applying the FNLM filter, the probability of nodule detection could be increased by denoising and contrast enhancement. Moreover, using the FNLM filter could reduce cancer risk in pediatric patients by reducing radiation dose about 30% to 44%.
Collapse
Affiliation(s)
- Jina Shim
- Department of Bio-Convergence Engineering, Korea University, Seoul, Republic of Korea. Department of Diagnostic Radiology, Severance Hospital, Seoul, Republic of Korea
| | | | | |
Collapse
|
8
|
Effect of Slab Thickness on the Detection of Pulmonary Nodules by Use of CT Maximum and Minimum Intensity Projection. AJR Am J Roentgenol 2019; 213:562-567. [PMID: 31063429 DOI: 10.2214/ajr.19.21325] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
|
9
|
Vaarwerk B, Bisogno G, McHugh K, Brisse HJ, Morosi C, Corradini N, Jenney M, Orbach D, Chisholm JC, Ferrari A, Zanetti I, De Salvo GL, van Rijn RR, Merks JH. Indeterminate Pulmonary Nodules at Diagnosis in Rhabdomyosarcoma: Are They Clinically Significant? A Report From the European Paediatric Soft Tissue Sarcoma Study Group. J Clin Oncol 2019; 37:723-730. [DOI: 10.1200/jco.18.01535] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Purpose To evaluate the clinical significance of indeterminate pulmonary nodules at diagnosis (defined as ≤ 4 pulmonary nodules < 5 mm or 1 nodule measuring ≥ 5 and < 10 mm) in patients with pediatric rhabdomyosarcoma (RMS). Patients and Methods We selected patients with supposed nonmetastatic RMS treated in large pediatric oncology centers in the United Kingdom, France, Italy, and the Netherlands, who were enrolled in the European Soft Tissue Sarcoma Study Group (E pSSG) RMS 2005 study. Patients included in the current study received a diagnosis between September 2005 and December 2013, and had chest computed tomography scans available for review that were done at time of diagnosis. Local radiologists were asked to review the chest computed tomography scans for the presence of pulmonary nodules and to record their findings on a standardized case report form. In the E pSSG RMS 2005 Study, patients with indeterminate pulmonary nodules were treated identically to patients without pulmonary nodules, enabling us to compare event-free survival and overall survival between groups by log-rank test. Results In total, 316 patients were included; 67 patients (21.2%) had indeterminate pulmonary nodules on imaging and 249 patients (78.8%) had no pulmonary nodules evident at diagnosis. Median follow-up for survivors (n = 258) was 75.1 months; respective 5-year event-free survival and overall survival rates (95% CI) were 77.0% (64.8% to 85.5%) and 82.0% (69.7% to 89.6%) for patients with indeterminate nodules and 73.2% (67.1% to 78.3%) and 80.8% (75.1% to 85.3%) for patients without nodules at diagnosis ( P = .68 and .76, respectively). Conclusion Our study demonstrated that indeterminate pulmonary nodules at diagnosis do not affect outcome in patients with otherwise localized RMS. There is no need to biopsy or upstage patients with RMS who have indeterminate pulmonary nodules at diagnosis.
Collapse
Affiliation(s)
- Bas Vaarwerk
- University of Amsterdam, Amsterdam, the Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Kieran McHugh
- Great Ormond Street Hospital for Children, London, United Kingdom
| | | | | | | | - Meriel Jenney
- Children's Hospital for Wales, Heath Park, Cardiff, United Kingdom
| | | | | | | | | | | | | | - Johannes H.M. Merks
- University of Amsterdam, Amsterdam, the Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | |
Collapse
|
10
|
Weber NM, Koo CW, Yu L, Bartholmai BJ, Halaweish AF, McCollough CH, Fletcher JG. Breathe New Life Into Your Chest CT Exams: Using Advanced Acquisition and Postprocessing Techniques. Curr Probl Diagn Radiol 2019; 48:152-160. [DOI: 10.1067/j.cpradiol.2018.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 10/06/2018] [Accepted: 10/16/2018] [Indexed: 11/22/2022]
|
11
|
Liu GT, Ryan E, Gustafson E, VanPelt MD, Raspovic KM, Lalli T, Wukich DK, Xi Y, Chhabra A. Three-Dimensional Computed Tomographic Characterization of Normal Anatomic Morphology and Variations of the Distal Tibiofibular Syndesmosis. J Foot Ankle Surg 2019; 57:1130-1136. [PMID: 30197255 DOI: 10.1053/j.jfas.2018.05.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Indexed: 02/03/2023]
Abstract
Malreduction of distal tibiofibular syndesmosis (DTFS) leads to poor functional outcomes after ankle fracture surgery. Difficulty achieving anatomic alignment of the syndesmosis is due to variable morphology of the fibular incisura of the tibia and a paucity of literature regarding its morphologic characteristics. We surveyed 775 consecutive ankle computed tomography (CT) scans performed from June 2008 to December 2011, and 203 (26.2%) were included for evaluation. Two observers performed quantitative measurements and qualitative evaluated fibular incisura morphology. Tang ratios for fibular rotation, anterior and posterior tibiofibular distances, fibular incisura depth, and subjective morphologies on CT were assessed using conventional multiplanar reconstruction (MPR) and maximum intensity projections (MIPs). On conventional CT, the mean Tang ratio was 0.97 ± 0.06; the mean anterior tibiofibular distance was 2.17 ± 0.87 mm; the mean posterior tibiofibular distance was 3.52 ± 0.94 mm; and the mean depth of fibular incisura was 3.29 ± 1.19 mm. Five morphologic variations of the fibular incisura were identified: crescentic, trapezoid, flat, chevron, and widow's peak. The most common fibular incisura morphology was crescentic (61.3%), followed by trapezoid shape (25.1%); the least common morphology was flat (3.1%). Interobserver variability with intraclass correlation coefficient (ICC) was slightly higher for all quantitative measures on MPR (ICC = 0.72 to .81) versus MIP (ICC = 0.64 to 0.75). ICC for incisura shape and depth assessments was poor on both modalities (0.13 to 0.38). This comprehensive CT study reports on quantitative and qualitative descriptive measures to evaluate fibular incisura morphologies and fibular orientation. It also defines the frequency of DTFS measures and the interobserver performance on 2 CT evaluation methods.
Collapse
Affiliation(s)
- George T Liu
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Easton Ryan
- Medical Student, University of Texas Southwestern Medical School, Dallas, TX
| | - Eric Gustafson
- Medical Student, University of Texas Southwestern Medical School, Dallas, TX
| | - Michael D VanPelt
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Katherine M Raspovic
- Assistant Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Trapper Lalli
- Assistant Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Dane K Wukich
- Professor and Chairman, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Yin Xi
- Associate Professor, Radiology, and Chief, Division of Musculoskeletal Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Avneesh Chhabra
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX; Assistant Professor, Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| |
Collapse
|
12
|
Yoon BC, Saad AF, Rezaii P, Wintermark M, Zaharchuk G, Iv M. Evaluation of Thick-Slab Overlapping MIP Images of Contrast-Enhanced 3D T1-Weighted CUBE for Detection of Intracranial Metastases: A Pilot Study for Comparison of Lesion Detection, Interpretation Time, and Sensitivity with Nonoverlapping CUBE MIP, CUBE, and Inversion-Recovery-Prepared Fast-Spoiled Gradient Recalled Brain Volume. AJNR Am J Neuroradiol 2018; 39:1635-1642. [PMID: 30093483 DOI: 10.3174/ajnr.a5747] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Accepted: 06/16/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Early and accurate identification of cerebral metastases is important for prognostication and treatment planning although this process is often time consuming and labor intensive, especially with the hundreds of images associated with 3D volumetric imaging. This study aimed to evaluate the benefits of thick-slab overlapping MIPs constructed from contrast-enhanced T1-weighted CUBE (overlapping CUBE MIP) for the detection of brain metastases in comparison with traditional CUBE and inversion-recovery prepared fast-spoiled gradient recalled brain volume (IR-FSPGR-BRAVO) and nonoverlapping CUBE MIP. MATERIALS AND METHODS A retrospective review of 48 patients with cerebral metastases was performed at our institution from June 2016 to October 2017. Brain MRIs, which were acquired on multiple 3T scanners, included gadolinium-enhanced T1-weighted IR-FSPGR-BRAVO and CUBE, with subsequent generation of nonoverlapping CUBE MIP and overlapping CUBE MIP. Two blinded radiologists identified the total number and location of metastases on each image type. The Cohen κ was used to determine interrater agreement. Sensitivity, interpretation time, and lesion contrast-to-noise ratio were assessed. RESULTS Interrater agreement for identification of metastases was fair-to-moderate for all image types (κ = 0.222-0.598). The total number of metastases identified was not significantly different across the image types. Interpretation time for CUBE MIPs was significantly shorter than for CUBE and IR-FSPGR-BRAVO, saving at least 50 seconds per case on average (P < .001). The mean lesion contrast-to-noise ratio for both CUBE MIPs was higher than for IR-FSPGR-BRAVO. The mean contrast-to-noise ratio for small lesions (<4 mm) was lower for nonoverlapping CUBE MIP (1.55) than for overlapping CUBE MIP (2.35). For both readers, the sensitivity for lesion detection was high for all image types but highest for overlapping CUBE MIP and CUBE (0.93-0.97). CONCLUSIONS This study suggests that the use of overlapping CUBE MIP or nonoverlapping CUBE MIP for the detection of brain metastases can reduce interpretation time without sacrificing sensitivity, though the contrast-to-noise ratio of lesions is highest for overlapping CUBE MIP.
Collapse
Affiliation(s)
- B C Yoon
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California
| | - A F Saad
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California
| | - P Rezaii
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California
| | - M Wintermark
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California
| | - G Zaharchuk
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California
| | - M Iv
- From the Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University, Stanford, California.
| |
Collapse
|
13
|
Verhagen MV, Smets AMJB, van Schuppen J, Deurloo EE, Schaefer-Prokop C. The impact of reconstruction techniques on observer performance for the detection and characterization of small pulmonary nodules in chest CT of children under 13 years. Eur J Radiol 2018; 100:142-146. [PMID: 29496073 DOI: 10.1016/j.ejrad.2018.01.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Revised: 11/29/2017] [Accepted: 01/15/2018] [Indexed: 11/16/2022]
Abstract
OBJECTIVE To compare three different reconstruction techniques of CT data for the detection of pulmonary nodules in children under 13 years. Secondly to assess the prevalence of perifissural nodular opacities. MATERIALS AND METHODS The study consisted of chest CTs of 31 children (median age 6.9 years, range 2.1-12.7), of whom 17 had known extra-thoracic malignancies. Four observers assessed three techniques for the presence of nodules: axial 5 mm maximum intensity projections (MIPs) used in conjunction with 1 mm slices (mode A), 1 mm slices alone (mode B) and 3 mm slices (mode C). All modes were available in 3D. Per mode sensitivities were determined above a certain threshold of reader agreement. Confidence level and reader agreement for identification of an opacity as nodule served as surrogate for quality of nodule characterization. RESULTS 103 nodules (median size 2.0 mm) were detected. Mode A yielded the highest interreader agreement (κ 0.336) and a superior sensitivity (71%, p = 0.003) compared to mode B and C (κ 0.218, sensitivity 57% and κ 0.247, sensitivity 56%, respectively). Mode B provided the highest confidence level and interreader agreement with respect to nodule identification (mean 4.3/5, κw 0.508). Double reading improved and evened interreader agreement for all modes (κ 0.450), mode A maintained the highest sensitivity (89.1%, p = 0.05-0.08). A median of 1 intrapulmonary lymph node/patient was seen in children with and without malignancy. CONCLUSION MIP improves the detection of pulmonary nodules in chest CTs of children, but overall interreader agreement is only fair. Double reading represents a powerful tool to increase diagnostic reliability in chest CTs of children with a malignancy. Nodule characterization is best with 1 mm slices. Intrapulmonary lymph nodes occur in children with and without malignancy.
Collapse
Affiliation(s)
- Martijn V Verhagen
- Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands.
| | - Anne M J B Smets
- Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands.
| | - Joost van Schuppen
- Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands.
| | - Eline E Deurloo
- Academic Medical Center, Meibergdreef 9, Amsterdam 1105 AZ, Netherlands.
| | | |
Collapse
|
14
|
Bae YJ, Choi BS, Lee KM, Yoon YH, Sunwoo L, Jung C, Kim JH. Efficacy of Maximum Intensity Projection of Contrast-Enhanced 3D Turbo-Spin Echo Imaging with Improved Motion-Sensitized Driven-Equilibrium Preparation in the Detection of Brain Metastases. Korean J Radiol 2017; 18:699-709. [PMID: 28670165 PMCID: PMC5447646 DOI: 10.3348/kjr.2017.18.4.699] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 01/16/2017] [Indexed: 11/15/2022] Open
Abstract
Objective To evaluate the diagnostic benefits of 5-mm maximum intensity projection of improved motion-sensitized driven-equilibrium prepared contrast-enhanced 3D T1-weighted turbo-spin echo imaging (MIP iMSDE-TSE) in the detection of brain metastases. The imaging technique was compared with 1-mm images of iMSDE-TSE (non-MIP iMSDE-TSE), 1-mm contrast-enhanced 3D T1-weighted gradient-echo imaging (non-MIP 3D-GRE), and 5-mm MIP 3D-GRE. Materials and Methods From October 2014 to July 2015, 30 patients with 460 enhancing brain metastases (size > 3 mm, n = 150; size ≤ 3 mm, n = 310) were scanned with non-MIP iMSDE-TSE and non-MIP 3D-GRE. We then performed 5-mm MIP reconstruction of these images. Two independent neuroradiologists reviewed these four sequences. Their diagnostic performance was compared using the following parameters: sensitivity, reading time, and figure of merit (FOM) derived by jackknife alternative free-response receiver operating characteristic analysis. Interobserver agreement was also tested. Results The mean FOM (all lesions, 0.984; lesions ≤ 3 mm, 0.980) and sensitivity ([reader 1: all lesions, 97.3%; lesions ≤ 3 mm, 96.2%], [reader 2: all lesions, 97.0%; lesions ≤ 3 mm, 95.8%]) of MIP iMSDE-TSE was comparable to the mean FOM (0.985, 0.977) and sensitivity ([reader 1: 96.7, 99.0%], [reader 2: 97, 95.3%]) of non-MIP iMSDE-TSE, but they were superior to those of non-MIP and MIP 3D-GREs (all, p < 0.001). The reading time of MIP iMSDE-TSE (reader 1: 47.7 ± 35.9 seconds; reader 2: 44.7 ± 23.6 seconds) was significantly shorter than that of non-MIP iMSDE-TSE (reader 1: 78.8 ± 43.7 seconds, p = 0.01; reader 2: 82.9 ± 39.9 seconds, p < 0.001). Interobserver agreement was excellent (κ > 0.75) for all lesions in both sequences. Conclusion MIP iMSDE-TSE showed high detectability of brain metastases. Its detectability was comparable to that of non-MIP iMSDE-TSE, but it was superior to the detectability of non-MIP/MIP 3D-GREs. With a shorter reading time, the false-positive results of MIP iMSDE-TSE were greater. We suggest that MIP iMSDE-TSE can provide high diagnostic performance and low false-positive rates when combined with 1-mm sequences.
Collapse
Affiliation(s)
- Yun Jung Bae
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Byung Se Choi
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Kyung Mi Lee
- Department of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul 02447, Korea
| | - Yeon Hong Yoon
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| |
Collapse
|
15
|
Samim A, Littooij AS, van den Heuvel-Eibrink MM, Wessels FJ, Nievelstein RAJ, de Jong PA. Frequency and characteristics of pulmonary nodules in children at computed tomography. Pediatr Radiol 2017; 47:1751-1758. [PMID: 28871322 PMCID: PMC5693979 DOI: 10.1007/s00247-017-3946-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 06/28/2017] [Accepted: 07/10/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND Normative data on pulmonary nodules in children without malignancy are limited. Knowledge of the frequency and characteristics of pulmonary nodules in healthy children can influence care decisions in children with malignant disease. OBJECTIVE To provide normative data concerning the frequency and characteristics of pulmonary nodules on computed tomography (CT) in young children. MATERIALS AND METHODS All children ages 1 year-12 years who underwent chest CT after high-energy trauma were retrospectively investigated. Exclusion criteria were a history of malignancy, thick image slices, motion artefacts and extensive post-traumatic pulmonary changes. Two radiologists were asked to independently identify all nodules and to characterize each nodule with respect to location, size, perifissural location and calcification. Discrepancies were adjudicated by a third reader, who set the reference standard in this study. Interobserver agreement in detection and characterization was assessed using the kappa coefficient (κ). RESULTS Identified were 120 patients, of whom 72 (75% male; median age: 8.0 years [interquartile range: 4-11]) were included. A total of 59 pulmonary nodules were present in 27 patients (38%; 95% confidence interval: 26-49%; range: 1-5 nodules per patient, with a mean diameter of 3.2 mm [standard deviation: 0.9 mm]). For nodule detection, the per-patient interobserver agreement was substantial (κ=0.78) and per-lobe agreement was moderate (κ=0.40). For characterization, there was fair to substantial agreement (κ=0.36-0.74). CONCLUSION Small pulmonary nodules on chest CT are a common finding in otherwise healthy children, but detection and characterization have only moderate interobserver agreement.
Collapse
Affiliation(s)
- Atia Samim
- Department of Radiology, University Medical Centre Utrecht/Wilhelmina Children’s Hospital, HP E01.132, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Annemieke S. Littooij
- Department of Radiology, University Medical Centre Utrecht/Wilhelmina Children’s Hospital, HP E01.132, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Marry M. van den Heuvel-Eibrink
- Department of Pediatric Oncology, Princess Máxima Centre for Pediatric Oncology, Lundlaan 6, 3584 EA Utrecht, The Netherlands
| | - Frank J. Wessels
- Department of Radiology, University Medical Centre Utrecht/Wilhelmina Children’s Hospital, HP E01.132, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Rutger A. J. Nievelstein
- Department of Radiology, University Medical Centre Utrecht/Wilhelmina Children’s Hospital, HP E01.132, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Pim A. de Jong
- Department of Radiology, University Medical Centre Utrecht/Wilhelmina Children’s Hospital, HP E01.132, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| |
Collapse
|
16
|
Secrest S, Bugbee A, Waller K, Jiménez DA. COMPARISON OF TRANSVERSE COMPUTED TOMOGRAPHIC EXCRETORY UROGRAPHY IMAGES AND MAXIMUM INTENSITY PROJECTION IMAGES FOR DIAGNOSING ECTOPIC URETERS IN DOGS. Vet Radiol Ultrasound 2016; 58:163-168. [DOI: 10.1111/vru.12461] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/13/2016] [Accepted: 10/25/2016] [Indexed: 11/28/2022] Open
Affiliation(s)
- Scott Secrest
- Department of Veterinary Biosciences and Diagnostic Imaging; University of Georgia; Athens GA 30602
| | - Andrew Bugbee
- Department of Small Animal Medicine and Surgery; University of Georgia; Athens GA 30602
| | - Kenneth Waller
- Department of Surgical Sciences; University of Wisconsin; Madison WI 53706
| | - David A. Jiménez
- Department of Veterinary Biosciences and Diagnostic Imaging; University of Georgia; Athens GA 30602
| |
Collapse
|
17
|
Burak Özkan M, Tscheuner S, Ozkan E. Diagnostic accuracy of MIP slice modalities for small pulmonary nodules in paediatric oncology patients revisited: What is additional from the paediatric radiologist approach? THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
|
18
|
Barras H, Dunet V, Hachulla AL, Grimm J, Beigelman-Aubry C. Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT. Acta Radiol Open 2016; 5:2058460116662299. [PMID: 27635253 PMCID: PMC5012508 DOI: 10.1177/2058460116662299] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 07/06/2016] [Indexed: 11/16/2022] Open
Abstract
Background Model-based iterative reconstruction (MBIR) reduces image noise and improves image quality (IQ) but its influence on post-processing tools including maximal intensity projection (MIP) and minimal intensity projection (mIP) remains unknown. Purpose To evaluate the influence on IQ of MBIR on native, mIP, MIP axial and coronal reformats of reduced dose computed tomography (RD-CT) chest acquisition. Material and Methods Raw data of 50 patients, who underwent a standard dose CT (SD-CT) and a follow-up RD-CT with a CT dose index (CTDI) of 2–3 mGy, were reconstructed by MBIR and FBP. Native slices, 4-mm-thick MIP, and 3-mm-thick mIP axial and coronal reformats were generated. The relative IQ, subjective IQ, image noise, and number of artifacts were determined in order to compare different reconstructions of RD-CT with reference SD-CT. Results The lowest noise was observed with MBIR. RD-CT reconstructed by MBIR exhibited the best relative and subjective IQ on coronal view regardless of the post-processing tool. MBIR generated the lowest rate of artefacts on coronal mIP/MIP reformats and the highest one on axial reformats, mainly represented by distortions and stairsteps artifacts. Conclusion The MBIR algorithm reduces image noise but generates more artifacts than FBP on axial mIP and MIP reformats of RD-CT. Conversely, it significantly improves IQ on coronal views, without increasing artifacts, regardless of the post-processing technique.
Collapse
Affiliation(s)
- Heloise Barras
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Vincent Dunet
- Division of Radiology, Geneva University Hospital, Geneva, Switzerland
| | | | - Jochen Grimm
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| | - Catherine Beigelman-Aubry
- Department of Radiodiagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
| |
Collapse
|
19
|
Jensen CT, Vicens-Rodriguez RA, Wagner-Bartak NA, Fox PS, Faria SC, Carrion I, Qayyum A, Tamm EP. Multidetector CT detection of peritoneal metastases: evaluation of sensitivity between standard 2.5 mm axial imaging and maximum-intensity-projection (MIP) reconstructions. ACTA ACUST UNITED AC 2016; 40:2167-72. [PMID: 25666971 DOI: 10.1007/s00261-015-0370-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Our purpose was to evaluate the sensitivity of multidetector CT for the detection of peritoneal metastases between standard 2.5 mm axial imaging and maximum-intensity-projection (MIP) reconstructions. MATERIALS AND METHODS The Institutional Review Board approved this retrospective study and waived the need to obtain patient consent. We retrospectively identified 36 patients with pancreatic adenocarcinoma and peritoneal metastatic disease who underwent a pancreatic protocol CT examination of the abdomen and pelvis between January 2012 and January 2014. Three independent radiologists reviewed a randomized combination of standard axial (2.5 mm reconstructed thickness, 2.5 mm interval) and axial MIP reconstructions (6, 3 mm interval) over two sessions. Each reader recorded metastasis location in PACS. Subsequent consensus review by two radiologists determined the final number and size of metastases. RESULTS The reviewers found 328 peritoneal implants in 36 patients. After accounting for the size, location, and number of lesions as well as multiple readers, a generalized estimating equations model showed that the statistical combination of MIP with standard technique significantly increased the odds of correctly identifying a lesion (OR 2.16; 95% CI 1.86-2.51; p value < 0.0001) compared to standard technique alone. MIP reconstruction as a standalone technique was less sensitive compared to standard technique alone (OR 0.81; 95% CI 0.65-0.99; p value = 0.0468). When compared to standard axial imaging, evaluation via MIP reconstructions resulted in the identification of an additional 50 (15%), 45 (14%), and 55 (17%) lesions by Readers 1-3, respectively. CONCLUSION The axial 6 mm MIP series is complimentary in the CT evaluation of peritoneal metastases. MIP reconstruction evaluation identified a significant number of additional lesions, but is not adequate as a standalone technique for peritoneal cavity assessment.
Collapse
Affiliation(s)
- Corey T Jensen
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA.
| | - Rafael A Vicens-Rodriguez
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Nicolaus A Wagner-Bartak
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Patricia S Fox
- Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Silvana C Faria
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Ivan Carrion
- University Hospital Joan XXIII (Tarragona), Avda. Jaume Balmes, XX, X-X, Vilanova i la Geltru Barcelona, 08800, Spain
| | - Aliya Qayyum
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Eric P Tamm
- Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| |
Collapse
|
20
|
Advanced imaging tools in pulmonary nodule detection and surveillance. Clin Imaging 2016; 40:296-301. [PMID: 26916752 DOI: 10.1016/j.clinimag.2016.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2015] [Revised: 01/27/2016] [Accepted: 01/29/2016] [Indexed: 11/23/2022]
Abstract
Lung cancer is a leading cause of death worldwide. The National Lung Screening Trial has demonstrated that lung cancer screening can reduce lung cancer specific and all cause mortality. With approval of national coverage for lung cancer screening, it is expected that an increase in exams related to pulmonary nodule detection and surveillance will ensue. Advanced imaging technologies for nodule detection and surveillance will be more important than ever. While computed tomography (CT) remains the modality of choice, other emerging modalities such as magnetic resonance imaging provides viable alternatives to CT.
Collapse
|
21
|
Utility of MDCT MIP Postprocessing Reconstruction Images in Children With Hereditary Hemorrhagic Telangiectasia. J Comput Assist Tomogr 2016; 40:375-9. [DOI: 10.1097/rct.0000000000000385] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
22
|
Mediastinal Lymph Nodes and Pulmonary Nodules in Children: MDCT Findings in a Cohort of Healthy Subjects. AJR Am J Roentgenol 2015; 204:35-7. [DOI: 10.2214/ajr.14.12773] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
|