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Al Bulushi Y, Cruz-Romero C, Kavandi H, Brook A, Brook OR. Predicting successful ultrasound-guided biopsy of liver lesions. Abdom Radiol (NY) 2023; 48:3498-3505. [PMID: 37605034 DOI: 10.1007/s00261-023-04017-6] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/28/2023] [Accepted: 07/28/2023] [Indexed: 08/23/2023]
Abstract
OBJECTIVES To determine the factors that affect successful ultrasound-guided biopsy of liver lesions and build a model predicting feasibility of US-guided liver biopsy. METHODS This is IRB-approved HIPAA-compliant retrospective review of consecutive ultrasound-guided targeted liver biopsies performed or attempted between 1/2018 and 9/2020 at a single tertiary academic institution with a total of 501 patients included. Mann-Whitney and chi-square tests were used to compare continuous and categorical variables, respectively. Logistic regression model was built to predict feasibility of successful ultrasound-guided biopsy. RESULTS Liver lesion biopsy was successfully performed with US guidance in 429/501 (86%) patients. Lesions not amenable for US biopsy were smaller (median size 1.6 cm vs 3.3 cm, p < 0.0001) and deeper within the liver (median depth 9.0 cm vs 5.8 cm, p < 0.0001). The technical success rate was lowest for lesions in segment II (40/53, 75%), while lesions in segment IVb (87/91, 96%) had highest success rate (p < 0.003). US targeting in patients with 1 or 2 lesions was less feasible than in patients with 3 or more lesions, 126/180 (70%) vs. 303/321 (94%), (p < 0.0001). Model including lesion size, depth, location, and number of lesions predicts feasibility of US-guided biopsy with Area under the ROC curve (AUC) = 0.92. CONCLUSIONS Linear logistic regression model that includes lesion size, depth and location, and number of lesions is highly successful in predicting feasibility of ultrasound-guided biopsy for liver lesions. Smaller lesions, deeper lesions, and lesions in segment II and VIII in patients with less than 3 lesions were less feasible for ultrasound-guided biopsy of liver lesions.
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Affiliation(s)
- Yarab Al Bulushi
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA
| | - Cinthia Cruz-Romero
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA
| | - Hadiseh Kavandi
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA
| | - Alexander Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA
| | - Olga R Brook
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.
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Kavandi H, Wei JL, Al Bulushi Y, Brook A, Brook OR, Siewert B. Factors Affecting Adherence to Outpatient Radiology Report Recommendations. J Am Coll Radiol 2023:S1546-1440(23)00260-0. [PMID: 36990192 DOI: 10.1016/j.jacr.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/25/2023] [Accepted: 03/03/2023] [Indexed: 03/29/2023]
Abstract
PURPOSE To identify factors associated with adherence to radiology follow-up recommendations by the referring physicians. MATERIALS AND METHODS In this retrospective study, CT, US, and MRI reports with the keyword "recommend" and synonyms between 3/11/2019-3/29/2019 were included. ED and inpatient examinations, and routine surveillance recommendations, such as lung nodules, were excluded. Performance of follow-up examinations was correlated with the strength of recommendation, conditionality of recommendation, direct communication of results to ordering provider, and history of cancer. Outcomes included adherence to recommendations and time to follow-up. Statistical comparison between groups was performed using Chi-squared, Kruskal-Wallis, and Spearman correlation. RESULTS Qualifying recommendations were provided in 255 reports (age 60.1 ± 16.5 years, females 151/255, 59.22%). Imaging follow-up was performed in 166/255 (65%) reports: 148/166 (89.15%) non-conditional vs. 18/166 (10.48%) conditional recommendations (p=0.008), and more frequently in the patients with a strong follow-up recommendation (138/166, 83.13%, vs. 28/166, 16.86% p=0.009). The median time to follow-up was: 28 days vs. 82 days in patients without /with a history of cancer (p = 0.00057), 28 days vs. 70 days with direct communication with the provider vs. without (p = 0.0069), 82.5 vs. 21 days for reports in which a specific follow-up interval was provided (86/255, 33.72%) vs. those without (169/255, 66.27%) (p<0.001). CONCLUSION The adherence rate for radiological non-routine recommendations was 65%. Reports with strongly worded and non-conditional follow-up recommendations were followed more frequently. Direct communication with providers, patients without a known cancer history, and recommendations with no specified time interval identified were followed up earlier.
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Shen J, Mastrodicasa D, Al Bulushi Y, Lin MC, Tse JR, Watkins AC, Lee JT, Fleischmann D. Thoracic Endovascular Aortic Repair for Chronic Type B Aortic Dissection: Pre- and Postprocedural Imaging. Radiographics 2022; 42:1638-1653. [PMID: 36190862 DOI: 10.1148/rg.220028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Aortic dissection is a chronic disease that requires lifelong clinical and imaging surveillance, long after the acute event. Imaging has an important role in prognosis, timing of repair, device sizing, and monitoring for complications, especially in the endovascular therapy era. Important anatomic features at preprocedural imaging include the location of the primary intimal tear and aortic zonal and branch vessel involvement, which influence the treatment strategy. Challenges of repair in the chronic phase include a small true lumen in conjunction with a stiff intimal flap, complex anatomy, and retrograde perfusion from distal reentry tears. The role of thoracic endovascular aortic repair (TEVAR) remains controversial for treatment of chronic aortic dissection. Standard TEVAR is aimed at excluding the primary intimal tear to decrease false lumen perfusion, induce false lumen thrombosis, promote aortic remodeling, and prevent aortic growth. In addition to covering the primary intimal tear with an endograft, several adjunctive techniques have been developed to mitigate retrograde false lumen perfusion. These techniques are broadly categorized into false lumen obliteration and landing zone optimization strategies, such as the provisional extension to induce complete attachment (PETTICOAT), false lumen embolization, cheese-wire fenestration, and knickerbocker techniques. Familiarity with these techniques is important to recognize expected changes and complications at postintervention imaging. The authors detail imaging options, provide examples of simple and complex endovascular repairs of aortic dissections, and highlight complications that can be associated with various techniques. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Jody Shen
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Domenico Mastrodicasa
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Yarab Al Bulushi
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Margaret C Lin
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Justin R Tse
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Amelia C Watkins
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Jason T Lee
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
| | - Dominik Fleischmann
- From the Departments of Radiology (J.S., D.M., Y.A.B., M.C.L., J.R.T., D.F.); Cardiothoracic Surgery (A.C.W.), and Vascular Surgery (J.T.L.), Stanford University School of Medicine, 453 Quarry Rd, Mail Code 5659, Palo Alto, CA 94304
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Al Bulushi Y, Saint-Martin C, Muthukrishnan N, Maleki F, Reinhold C, Forghani R. Radiomics and machine learning for the diagnosis of pediatric cervical non-tuberculous mycobacterial lymphadenitis. Sci Rep 2022; 12:2962. [PMID: 35194075 PMCID: PMC8863781 DOI: 10.1038/s41598-022-06884-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/09/2022] [Indexed: 01/01/2023] Open
Abstract
Non-tuberculous mycobacterial (NTM) infection is an emerging infectious entity that often presents as lymphadenitis in the pediatric age group. Current practice involves invasive testing and excisional biopsy to diagnose NTM lymphadenitis. In this study, we performed a retrospective analysis of 249 lymph nodes selected from 143 CT scans of pediatric patients presenting with lymphadenopathy at the Montreal Children’s Hospital between 2005 and 2018. A Random Forest classifier was trained on the ten most discriminative features from a set of 1231 radiomic features. The model classifying nodes as pyogenic, NTM, reactive, or proliferative lymphadenopathy achieved an accuracy of 72%, a precision of 68%, and a recall of 70%. Between NTM and all other causes of lymphadenopathy, the model achieved an area under the curve (AUC) of 89%. Between NTM and pyogenic lymphadenitis, the model achieved an AUC of 90%. Between NTM and the reactive and proliferative lymphadenopathy groups, the model achieved an AUC of 93%. These results indicate that radiomics can achieve a high accuracy for classification of NTM lymphadenitis. Such a non-invasive highly accurate diagnostic approach has the potential to reduce the need for invasive procedures in the pediatric population.
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Affiliation(s)
- Yarab Al Bulushi
- Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of McGill University Health Centre, 5252 Boulevard de Maisonneuve O, Montréal, QC, H4A 3S9, Canada.,Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.,Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Christine Saint-Martin
- Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Nikesh Muthukrishnan
- Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of McGill University Health Centre, 5252 Boulevard de Maisonneuve O, Montréal, QC, H4A 3S9, Canada
| | - Farhad Maleki
- Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of McGill University Health Centre, 5252 Boulevard de Maisonneuve O, Montréal, QC, H4A 3S9, Canada
| | - Caroline Reinhold
- Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of McGill University Health Centre, 5252 Boulevard de Maisonneuve O, Montréal, QC, H4A 3S9, Canada.,Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada
| | - Reza Forghani
- Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of McGill University Health Centre, 5252 Boulevard de Maisonneuve O, Montréal, QC, H4A 3S9, Canada. .,Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada. .,Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and Division of Medical Physics, University of Florida, PO Box 100374, Gainesville, FL, 32610-0374, USA.
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Almarzouq A, Kool R, Al Bulushi Y, Marcq G, Souhami L, Cury FL, Brimo F, Chong J, Kassouf W. Impact of sarcopenia on outcomes of patients treated with trimodal therapy for muscle invasive bladder cancer. Urol Oncol 2021; 40:194.e15-194.e22. [PMID: 34862117 DOI: 10.1016/j.urolonc.2021.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 08/05/2021] [Revised: 10/04/2021] [Accepted: 11/01/2021] [Indexed: 01/11/2023]
Abstract
OBJECTIVE We sought to investigate the incidence of sarcopenia and its impact on main oncological outcomes in patients with muscle invasive bladder cancer (MIBC) treated with trimodal therapy (TMT). PATIENTS AND METHODS This was a retrospective analysis of 141 MIBC patients treated with TMT in the period 2002 to 2018. Sarcopenia was identified through pretreatment computed tomography scans and defined as a skeletal muscle index of <55 cm2/m2 for men and <39 cm2/m2 for women. Body mass index (BMI)-adjusted definition of sarcopenia was used to evaluate for sarcopenic obesity. Uni- and multivariable analyses were performed to assess the impact of sarcopenia on initial complete response and overall survival (OS) to TMT. RESULTS Median age at diagnosis was 73 years [range: 65-81] and median follow up was 32 months (Inter Quartile Range: 18-66). Median OS was 67 months (95% CI: 53-83). The incidence of sarcopenia and BMI-adjusted sarcopenia was 56.7% and 40.4%, respectively. On multivariable analysis, Eastern Cooperative Oncology Group performance status (HR = 2.37, 95% CI: 2.1-5.67, P = 0.001) and complete response to treatment (HR = 0.26, 95% CI: 0.14-0.049, P = 0.001] were independently associated with improved OS. Sarcopenia and BMI-adjusted sarcopenia were not independently associated with either complete response to TMT or OS. Similarly, in a subpopulation of 74 patients considered fit for radical cystectomy, we found that neither sarcopenia (P = 0.49) nor BMI-adjusted sarcopenia (P = 0.22) had an impact on OS. CONCLUSION Sarcopenia and BMI-adjusted sarcopenia are prevalent in patients with MIBC undergoing TMT. TMT is a suitable treatment modality for patients with MIBC irrespective of their sarcopenia status.
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Affiliation(s)
- Ahmad Almarzouq
- Division of Urology, McGill University Health Centre, Montreal, Canada
| | - Ronald Kool
- Division of Urology, McGill University Health Centre, Montreal, Canada
| | - Yarab Al Bulushi
- Department of Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| | - Gautier Marcq
- Division of Urology, McGill University Health Centre, Montreal, Canada; Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, Lille, France; Urology Department, Claude Huriez Hospital, Lille, France
| | - Luis Souhami
- Department of Radiation Oncology, McGill University Health Centre, Montreal, Canada
| | - Fabio L Cury
- Department of Radiation Oncology, McGill University Health Centre, Montreal, Canada
| | - Fadi Brimo
- Department of Pathology, McGill University Health Centre, Montreal, Canada
| | - Jaron Chong
- Department of Medical Imaging, Western University, London, Ontario, Canada
| | - Wassim Kassouf
- Division of Urology, McGill University Health Centre, Montreal, Canada.
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