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Cavion CC, Altmayer S, Forte GC, Feijó Andrade RG, Hochhegger DQDR, Zaguini Francisco M, Camargo C, Patel P, Hochhegger B. Diagnostic Performance of MRI for the Detection of Pulmonary Nodules: A Systematic Review and Meta-Analysis. Radiol Cardiothorac Imaging 2024; 6:e230241. [PMID: 38634743 DOI: 10.1148/ryct.230241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Purpose To perform a meta-analysis of the diagnostic performance of MRI for the detection of pulmonary nodules, with use of CT as the reference standard. Materials and Methods PubMed, Embase, Scopus, and other databases were systematically searched for studies published from January 2000 to March 2023 evaluating the performance of MRI for diagnosis of lung nodules measuring 4 mm or larger, with CT as reference. Studies including micronodules, nodules without size stratification, or those from which data for contingency tables could not be extracted were excluded. Primary outcomes were the per-lesion sensitivity of MRI and the rate of false-positive nodules per patient (FPP). Subgroup analysis by size and meta-regression with other covariates were performed. The study protocol was registered in the International Prospective Register of Systematic Reviews, or PROSPERO (no. CRD42023437509). Results Ten studies met inclusion criteria (1354 patients and 2062 CT-detected nodules). Overall, per-lesion sensitivity of MRI for nodules measuring 4 mm or larger was 87.7% (95% CI: 81.1, 92.2), while the FPP rate was 12.4% (95% CI: 7.0, 21.1). Subgroup analyses demonstrated that MRI sensitivity was 98.5% (95% CI: 90.4, 99.8) for nodules measuring at least 8-10 mm and 80.5% (95% CI: 71.5, 87.1) for nodules less than 8 mm. Conclusion MRI demonstrated a good overall performance for detection of pulmonary nodules measuring 4 mm or larger and almost equal performance to CT for nodules measuring at least 8-10 mm, with a low rate of FPP. Systematic review registry no. CRD42023437509 Keywords: Lung Nodule, Lung Cancer, Lung Cancer Screening, MRI, CT Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- César Campagnolo Cavion
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Stephan Altmayer
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Gabriele Carra Forte
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Rubens Gabriel Feijó Andrade
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Daniela Quinto Dos Reis Hochhegger
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Martina Zaguini Francisco
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Capitulino Camargo
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Pratik Patel
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
| | - Bruno Hochhegger
- From the Department of Radiology, Pontifícia Universidade Católica do Rio Grande do Sul, Av Ipiranga, 6681 - Partenon, Porto Alegre, Rio Grande do Sul, Brazil, 90619-900 (C.C.C., G.C.F., R.G.F.A.); Department of Radiology, Stanford University, Stanford, Calif (S.A.); Department of Radiology, College of Medicine, University of Florida, Gainesville, Fla (D.Q.d.R.H., P.P., B.H.); and Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil (M.Z.F., C.C.J.)
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Altmayer S, Armelin LM, Pereira JS, Carvalho LV, Tse J, Balthazar P, Francisco MZ, Watte G, Hochhegger B. MRI with DWI improves detection of liver metastasis and selection of surgical candidates with pancreatic cancer: a systematic review and meta-analysis. Eur Radiol 2024; 34:106-114. [PMID: 37566274 DOI: 10.1007/s00330-023-10069-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/07/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVE To perform a systematic review and meta-analysis to evaluate if magnetic resonance imaging (MRI) with diffusion weighted imaging (DWI) adds value compared to contrast-enhanced computed tomography (CECT) alone in the preoperative evaluation of pancreatic cancer. METHODS MEDLINE, EMBASE, and Cochrane databases were searched for relevant published studies through October 2022. Studies met eligibility criteria if they evaluated the per-patient diagnostic performance of MRI with DWI in the preoperative evaluation of newly diagnosed pancreatic cancer compared to CECT. Our primary outcome was the number needed to treat (NNT) to prevent one futile surgery using MRI with DWI, defined as those in which CECT was negative and MRI with DWI was positive for liver metastasis (i.e., surgical intervention in metastatic disease missed by CECT). The secondary outcomes were to determine the diagnostic performance and the NNT of MRI with DWI to change management in pancreatic cancer. RESULTS Nine studies met the inclusion criteria with a total of 1121 patients, of whom 172 had liver metastasis (15.3%). The proportion of futile surgeries reduced by MRI with DWI was 6.0% (95% CI, 3.0-11.6%), yielding an NNT of 16.6. The proportion of cases that MRI with DWI changed management was 18.1% (95% CI, 9.9-30.7), corresponding to an NNT of 5.5. The per-patient sensitivity and specificity of MRI were 92.4% (95% CI, 87.4-95.6%) and 97.3% (95% CI, 96.0-98.1). CONCLUSION MRI with DWI may prevent futile surgeries in pancreatic cancer by improving the detection of occult liver metastasis on preoperative CECT with an NNT of 16.6. CLINICAL RELEVANCE STATEMENT MRI with DWI complements the standard preoperative CECT evaluation for liver metastasis in pancreatic cancer, improving the selection of surgical candidates and preventing unnecessary surgeries. KEY POINTS • The NNT of MRI with DWI to prevent potential futile surgeries due to occult liver metastasis on CECT, defined as those in which CECT was negative and MRI with DWI was positive for liver metastasis, in patients with pancreatic cancer was 16.6. • The higher performance of MRI with DWI to detect liver metastasis occult on CECT can be attributed to an increased detection of subcentimeter liver metastasis.
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Affiliation(s)
- Stephan Altmayer
- Department of Radiology, Stanford University, 300 Pasteur Drive, Suite H1330, Stanford, USA.
| | - Larissa Maria Armelin
- Faculdade de Medicina, Universidade Federal de Minas Gerais, 190 Prof Alfredo Balena Ave, Belo Horizonte, Brazil
| | | | - Lis Vitoria Carvalho
- Faculdade de Medicina, Universidade de São Paulo, 455 Dr Arnaldo Ave, São Paulo, Brazil
| | - Justin Tse
- Department of Radiology, Stanford University, 300 Pasteur Drive, Suite H1330, Stanford, USA
| | | | - Martina Zaguini Francisco
- Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil
| | - Guilherme Watte
- Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil
| | - Bruno Hochhegger
- Department of Radiology, University of Florida, 1600 SW Archer Rd, Gainesville, USA
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Boanova LG, Altmayer S, Watte G, Raupp AA, Francisco MZ, De Oliveira GS, Hochhegger B, Andrade RGF. Detection of Liver Lesions in Colorectal Cancer Patients Using 18F-FDG PET/CT Dual-Time-Point Scan Imaging. Cancers (Basel) 2023; 15:5403. [PMID: 38001662 PMCID: PMC10670707 DOI: 10.3390/cancers15225403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/24/2023] [Accepted: 11/03/2023] [Indexed: 11/26/2023] Open
Abstract
OBJECTIVE The aim of this study was to evaluate the diagnostic performance of dual-time-point fluorine-18-fluorodeoxyglucose positron emission computed tomography/computed tomography (18F-FDG PET/CT) compared to conventional early imaging for detecting colorectal liver metastases (CRLM) in colorectal cancer (CRC) patients. METHODS One hundred twenty-four consecutive CRC patients underwent dual-time-point imaging scans on a retrospective basis. Histopathological confirmation and/or clinical follow-up were accepted as the gold standard. Standard uptake values (SUV), signal-to-noise ratio (SNR), retention index (RI), tumor-to-normal liver ratio (TNR), and lesion sizes were measured for early and delayed PET scans. The diagnostic performance of early and delayed images was calculated on a per-patient basis and compared using McNemar's test. RESULTS Among the 124 patients, 57 (46%) had CRLM, 6 (4.8%) had benign lesions, and 61 (49.2%) had no concerning lesions detected. Smaller CRLM lesions (<5 cm3) showed significantly higher uptake in the delayed scans relative to early imaging (p < 0.001). The SUV and TNR increased significantly in delayed imaging of all metastatic lesions (p < 0.001). The retention index of all CRLM was high (40.8%), especially for small lesions (54.8%). A total of 177 lesions in delayed images and 124 in standard early images were identified. In a per-patient analysis, delayed imaging had significantly higher sensitivity (100% vs. 87.7%) and specificity (91.0% vs. 94.0%) compared to early imaging (p-value = 0.04). CONCLUSIONS The detection of liver lesions using dual-time-point PET/CT scan improves the sensitivity and specificity for the detection of colorectal liver metastasis.
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Affiliation(s)
- Luciane G. Boanova
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
- Department of Nuclear Medicine, Hospital Mae de Deus, Av. Jose de Alencar 286, Porto Alegre 90880-481, Brazil;
| | - Stephan Altmayer
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
| | - Guilherme Watte
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre, Rua Sarmento Leite 245, Porto Alegre 90050-170, Brazil; (G.W.); (M.Z.F.)
| | - Ana Amelia Raupp
- Department of Nuclear Medicine, Hospital Mae de Deus, Av. Jose de Alencar 286, Porto Alegre 90880-481, Brazil;
| | - Martina Zaguini Francisco
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre, Rua Sarmento Leite 245, Porto Alegre 90050-170, Brazil; (G.W.); (M.Z.F.)
| | - Guilherme Strieder De Oliveira
- School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2400—Santa Cecília, Porto Alegre 90035-003, Brazil;
| | - Bruno Hochhegger
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
| | - Rubens G. F. Andrade
- Faculty of Medicine, Pontificial Catholic University of Rio Grande do Sul, Av. Ipiranga 6690, Porto Alegre 90619-900, Brazil (B.H.)
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Campello CA, Castanha EB, Vilardo M, Staziaki PV, Francisco MZ, Mohajer B, Watte G, Moraes FY, Hochhegger B, Altmayer S. Machine learning for malignant versus benign focal liver lesions on US and CEUS: a meta-analysis. Abdom Radiol (NY) 2023; 48:3114-3126. [PMID: 37365266 DOI: 10.1007/s00261-023-03984-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/28/2023]
Abstract
OBJECTIVES To perform a meta-analysis of the diagnostic performance of learning (ML) algorithms (conventional and deep learning algorithms) for the classification of malignant versus benign focal liver lesions (FLLs) on US and CEUS. METHODS Available databases were searched for relevant published studies through September 2022. Studies met eligibility criteria if they evaluate the diagnostic performance of ML for the classification of malignant and benign focal liver lesions on US and CEUS. The pooled per-lesion sensitivities and specificities for each modality with 95% confidence intervals were calculated. RESULTS A total of 8 studies on US, 11 on CEUS, and 1 study evaluating both methods met the inclusion criteria with a total of 34,245 FLLs evaluated. The pooled sensitivity and specificity of ML for the malignancy classification of FLLs were 81.7% (95% CI, 77.2-85.4%) and 84.8% (95% CI, 76.0-90.8%) for US, compared to 87.1% (95% CI, 81.8-91.0%) and 87.0% (95% CI, 83.1-90.1%) for CEUS. In the subgroup analysis of studies that evaluated deep learning algorithms, the sensitivity and specificity of CEUS (n = 4) increased to 92.4% (95% CI, 88.5-95.0%) and 88.2% (95% CI, 81.1-92.9%). CONCLUSIONS The diagnostic performance of ML algorithms for the malignant classification of FLLs was high for both US and CEUS with overall similar sensitivity and specificity. The similar performance of US may be related to the higher prevalence of DL models in that group.
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Affiliation(s)
- Carlos Alberto Campello
- School of Medicine, Universidade Federal do Mato Grosso, 2367 Quarenta e Nove St, Cuiabá, Brazil
| | - Everton Bruno Castanha
- School of Medicine, Universidade Federal de Pelotas, 538 Prof. Dr. Araújo St. Pelotas, Pelotas, Brazil
| | - Marina Vilardo
- School of Medicine, Universidade Catolica de Brasilia, QS 07, Brasília, Brazil
| | - Pedro V Staziaki
- Department of Radiology, University of Vermont Medical Center, 111 Colchester Ave, Burlington, USA
| | - Martina Zaguini Francisco
- Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil
| | - Bahram Mohajer
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, Baltimore, USA
| | - Guilherme Watte
- Department of Radiology, Universidade Federal de Ciencias da Saude de Porto Alegre, 245 Sarmento Leite St, Porto Alegre, Brazil
| | - Fabio Ynoe Moraes
- Department of Oncology, Queen's University, 76 Stuart St, Kingston, Canada
| | - Bruno Hochhegger
- Department of Radiology, University of Florida, 1600 SW Archer Rd, Gainesville, USA
| | - Stephan Altmayer
- Department of Radiology, Stanford University, 300 Pasteur Drive, Suite H1330, Stanford, USA.
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Francisco MZ, Altmayer S, Verma N, Watte G, Brandao MDC, Barros MC, Mohammed TL, Hochhegger B. Appropriateness of Computed Tomography and Ultrasound for Abdominal Complaints in the Emergency Department. Curr Probl Diagn Radiol 2020; 50:799-802. [PMID: 33250295 DOI: 10.1067/j.cpradiol.2020.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/04/2020] [Accepted: 11/09/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the appropriateness of ultrasound (US) and computed tomography (CT) examinations ordered in the emergency department (ED) for abdominal complaints. MATERIALS AND METHODS We reviewed 154 CTs and 154 US orders for appropriateness using evidence-based recommendations by the American College of Radiology. The sample was powered to show a prevalence of inappropriate orders of 25% with a margin of error of 7.5%. Findings in the final reports were compared to the initial clinical diagnosis classified in 4 categories: normal, compatible with initial diagnosis, alternative diagnosis, and inconclusive. We also evaluated the frequency in which a second imaging modality was ordered on the same visit. RESULTS A total of 135 CT and 143 US examinations had complete clinical information to allow evaluation of order appropriateness. The rate of inappropriate orders was 36.3% for CT and 84.4% for US. The final report of appropriate orders was significantly more likely to demonstrate findings compatible with the initial diagnosis for both CT (76.7% vs 20.4%, P < 0.0001) and US (38.9% vs 14.4%, P = 0.0093). Inappropriately ordered CT scans were more likely to show no abnormalities (46.9 vs 16.3%, P = 0.0001). An additional imaging order with a secondary modality was requested in 20% of the inappropriate US orders, and 8.2% of the inappropriate CT orders. CONCLUSION The prevalence of inappropriate examinations in the ED was 36.3% for CT and 84.4% for US. Appropriately ordered exams were more likely to yield imaging findings compatible with the initial diagnosis for both modalities.
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Affiliation(s)
| | - Stephan Altmayer
- Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Nupur Verma
- Department of Radiology, University of Florida, Gainesville, FL
| | - Guilherme Watte
- Universidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Marina de Campos Brandao
- Universidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Marcelo Cardoso Barros
- Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Bruno Hochhegger
- Universidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
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Altmayer S, Verma N, Francisco MZ, Almeida RF, Mohammed TL, Hochhegger B. Classification and Imaging Findings of Lung Neoplasms. Semin Roentgenol 2019; 55:41-50. [PMID: 31964479 DOI: 10.1053/j.ro.2019.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Stephan Altmayer
- Department of Radiology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Nupur Verma
- Department of Radiology, University of Florida, Gainesville, FL
| | - Martina Zaguini Francisco
- Department of Radiology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Renata Fragomeni Almeida
- Department of Pathology, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Bruno Hochhegger
- Department of Radiology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
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