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  1. Article ; Online: Work-related musculoskeletal disorders affecting diagnostic radiologists and prophylactic physical therapy regimen.

    Ho, Erwin / Tran, Julia / Fateri, Cameron / Sahagian, Christopher / Sarton, Kyle / Glavis-Bloom, Justin / Houshyar, Roozbeh

    Current problems in diagnostic radiology

    2024  

    Abstract: The shift from film to PACS in reading rooms, coupled with escalating case volumes, exposes radiologists to the issues of the modern computer workstation including computer work posture and work-related musculoskeletal disorders (WMSD). Common WMSDs ... ...

    Abstract The shift from film to PACS in reading rooms, coupled with escalating case volumes, exposes radiologists to the issues of the modern computer workstation including computer work posture and work-related musculoskeletal disorders (WMSD). Common WMSDs affecting the neck and upper extremities include cervical myofascial pain, shoulder tendonitis, lateral epicondylitis, carpal tunnel syndrome, and cubital tunnel syndrome. This review examines each pathology along with its pathogenesis, clinical features, physical exam findings, and potential risk factors. Furthermore, a comprehensive 11-part physical therapy regimen that is both prophylactic and therapeutic is illustrated and described in detail. One of the objectives of this review is to advocate for the inclusion of a physical therapy regimen in the working routine of diagnostic radiologists to prevent WMSDs. A brief daily commitment to this regimen can help radiologists remain healthy and productive in order to deliver optimal patient care throughout their careers.
    Language English
    Publishing date 2024-03-09
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 198954-6
    ISSN 1535-6302 ; 0363-0188
    ISSN (online) 1535-6302
    ISSN 0363-0188
    DOI 10.1067/j.cpradiol.2024.03.008
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  2. Article ; Online: Utilization of Re-VASC, the Novel Retroperitoneal Neovascularity Scoring System, for Characterization of T1a Small Renal Masses.

    Fateri, Cameron / Roth, Bradley / Rao, Sriram / Peta, Akhil / Limfueco, Luke / Bui, Thanh-Lan / Kar, Nina / Glavis-Bloom, Justin / Cumpanas, Andrei / Landman, Jaime / Houshyar, Roozbeh

    Journal of endourology

    2024  Volume 38, Issue 3, Page(s) 301–305

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Humans ; Carcinoma, Renal Cell/pathology ; Retrospective Studies ; Kidney Neoplasms/pathology ; Nephrectomy ; Angiomyolipoma/surgery ; Diagnosis, Differential
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Multicenter Study ; Journal Article
    ZDB-ID 356931-7
    ISSN 1557-900X ; 0892-7790
    ISSN (online) 1557-900X
    ISSN 0892-7790
    DOI 10.1089/end.2023.0421
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    Zs.A 2628: Show issues Location:
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  3. Article ; Online: Automated detection of IVC filters on radiographs with deep convolutional neural networks.

    Mongan, John / Kohli, Marc D / Houshyar, Roozbeh / Chang, Peter D / Glavis-Bloom, Justin / Taylor, Andrew G

    Abdominal radiology (New York)

    2022  Volume 48, Issue 2, Page(s) 758–764

    Abstract: Purpose: To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval.: Methods: A primary dataset of 5225 images, ... ...

    Abstract Purpose: To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval.
    Methods: A primary dataset of 5225 images, 30% of which included IVC filters, was assembled and annotated. 85% of the data was used to train a Cascade R-CNN (Region Based Convolutional Neural Network) object detection network incorporating a pre-trained ResNet-50 backbone. The remaining 15% of the data, independently annotated by three radiologists, was used as a test set to assess performance. The algorithm was also assessed on an independently constructed 1424-image dataset, drawn from a different institution than the primary dataset.
    Results: On the primary test set, the algorithm achieved a sensitivity of 96.2% (95% CI 92.7-98.1%) and a specificity of 98.9% (95% CI 97.4-99.5%). Results were similar on the external test set: sensitivity 97.9% (95% CI 96.2-98.9%), specificity 99.6 (95% CI 98.9-99.9%).
    Conclusion: Fully automated detection of IVC filters on radiographs with high sensitivity and excellent specificity required for an automated screening system can be achieved using object detection neural networks. Further work will develop a system for identifying patients for IVC filter retrieval based on this algorithm.
    MeSH term(s) Humans ; Retrospective Studies ; Vena Cava Filters ; Radiography ; Neural Networks, Computer ; Algorithms
    Language English
    Publishing date 2022-11-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2839786-1
    ISSN 2366-0058 ; 2366-004X
    ISSN (online) 2366-0058
    ISSN 2366-004X
    DOI 10.1007/s00261-022-03734-8
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  4. Article ; Online: Novel Retroperitoneal Neovascularity Scoring System in Renal Cell Carcinoma Tumor Staging.

    Fateri, Cameron / Peta, Akhil / Limfueco, Luke / Bui, Thanh-Lan / Kar, Nina / Glavis-Bloom, Justin / Roth, Bradley / Landman, Jaime / Houshyar, Roozbeh

    Journal of endourology

    2022  Volume 37, Issue 3, Page(s) 367–373

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Humans ; Carcinoma, Renal Cell/diagnostic imaging ; Carcinoma, Renal Cell/pathology ; Neoplasm Staging ; Retrospective Studies ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/pathology ; Kidney/pathology ; Nephrectomy
    Language English
    Publishing date 2022-11-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 356931-7
    ISSN 1557-900X ; 0892-7790
    ISSN (online) 1557-900X
    ISSN 0892-7790
    DOI 10.1089/end.2022.0338
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    Zs.MO 208: Show issues

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  5. Article ; Online: Comparing Accuracy of Night Radiology Interpretations for Pediatric Trauma: Radiology Residents Versus Attending Teleradiologists.

    Martino, Alice M / Yeates, Eric O / Grigorian, Areg / Chinn, Justine / Young, Hayley / Colin Escobar, Jessica / Glavis-Bloom, Justin / Anavim, Arash / Yaghmai, Vahid / Nguyen, Ninh T / Dolich, Matthew / Schubl, Sebastian D / Goodman, Laura F / Guner, Yigit S / Nahmias, Jeffry

    The American surgeon

    2024  , Page(s) 31348241248794

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 202465-2
    ISSN 1555-9823 ; 0003-1348
    ISSN (online) 1555-9823
    ISSN 0003-1348
    DOI 10.1177/00031348241248794
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  6. Article ; Online: Developing a Technologist-Focused Quality Improvement Program.

    Glavis-Bloom, Justin / Rizzo, Ruth / Sura, Amit

    Journal of the American College of Radiology : JACR

    2017  Volume 14, Issue 12, Page(s) 1598–1602

    MeSH term(s) Diagnostic Errors/prevention & control ; Hospitals, Pediatric ; Humans ; Quality Control ; Quality Improvement ; Technology, Radiologic/standards ; Trauma Centers
    Language English
    Publishing date 2017-05-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2017.04.011
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  7. Article ; Online: A 61-year-old woman with jejunal lymphatic malformation visualized on computed tomography: a case report.

    Rupasinghe, Mark / Houshyar, Roozbeh / Chahine, Chantal / Bui, Thanh-Lan / Glavis-Bloom, Justin / Cheng, Caleb / Tseng, Jill

    Journal of medical case reports

    2021  Volume 15, Issue 1, Page(s) 302

    Abstract: Background: Jejunal lymphatic malformations are congenital lesions that are seldom diagnosed in adults and rarely seen on imaging.: Case presentation: A 61-year-old Caucasian woman was initially diagnosed and treated for mucinous ovarian carcinoma. ... ...

    Abstract Background: Jejunal lymphatic malformations are congenital lesions that are seldom diagnosed in adults and rarely seen on imaging.
    Case presentation: A 61-year-old Caucasian woman was initially diagnosed and treated for mucinous ovarian carcinoma. After an exploratory laparotomy with left salpingo-oophorectomy, a computed tomography scan of the abdomen and pelvis demonstrated suspicious fluid-containing lesions involving a segment of jejunum and adjacent mesentery. Resection of the lesion during subsequent debulking surgery revealed that the lesion seen on imaging was a jejunal lymphatic malformation and not a cancerous implant.
    Conclusions: Abdominal lymphatic malformations are difficult to diagnose solely on imaging but should remain on the differential in adult cancer patients with persistent cystic abdominal lesions despite chemotherapy and must be differentiated from metastatic implants.
    MeSH term(s) Adenocarcinoma, Mucinous ; Adult ; Female ; Humans ; Jejunum/diagnostic imaging ; Jejunum/surgery ; Laparotomy ; Mesentery ; Middle Aged ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-05-27
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2269805-X
    ISSN 1752-1947 ; 1752-1947
    ISSN (online) 1752-1947
    ISSN 1752-1947
    DOI 10.1186/s13256-021-02872-9
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  8. Article: Congenital neuroglial choristoma of the foot.

    Glavis-Bloom, Justin / Nahl, Daniel / Rubin, Elyssa M / Nael, Ali / Dao, Tuan

    Radiology case reports

    2019  Volume 14, Issue 6, Page(s) 718–722

    Abstract: Neuroglial choristomas are rare malformations of heterotopic neural tissue that have been previously reported predominantly in the head and neck. Competing theories of embryogenesis propose their origin as encephaloceles that have undergone resorption of ...

    Abstract Neuroglial choristomas are rare malformations of heterotopic neural tissue that have been previously reported predominantly in the head and neck. Competing theories of embryogenesis propose their origin as encephaloceles that have undergone resorption of their cranial connection or displaced neuroectodermal cells which have undergone ectopic proliferation. Most cases occur in midline or para-midline structures. There have been no prior published cases of a neuroglial choristoma in the extremities. We present a case of a 13-month-old otherwise healthy child who presented to our institution with a slowly growing foot mass who was found to have a neuroglial choristoma. This case suggests an early embryological migration defect as the etiology and offers a unique differential consideration for a benign extremity mass.
    Language English
    Publishing date 2019-04-02
    Publishing country Netherlands
    Document type Case Reports
    ZDB-ID 2406300-9
    ISSN 1930-0433
    ISSN 1930-0433
    DOI 10.1016/j.radcr.2019.03.025
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  9. Article ; Online: Ensuring Appropriateness of Pediatric Second Opinion Consultations.

    Glavis-Bloom, Justin / Yang, Unikora / Nahl, Daniel / Goodarzian, Fariba / Sura, Amit

    Current problems in diagnostic radiology

    2019  Volume 49, Issue 2, Page(s) 82–84

    Abstract: Purpose: We sought to evaluate discrepancy rates between outside interpretations, radiology trainee preliminary reports, and subspecialist attending final interpretations for pediatric second opinion consultations on plain film and computed tomography ... ...

    Abstract Purpose: We sought to evaluate discrepancy rates between outside interpretations, radiology trainee preliminary reports, and subspecialist attending final interpretations for pediatric second opinion consultations on plain film and computed tomography imaging and to evaluate the impact of a process improvement for second opinion consultations.
    Methods: Of a total of 572 requests for second opinion consultations during 1-year preintervention period, we utilized RADPEER to score concurrence of 158 requests which occurred overnight and included outside radiologist interpretations and resident preliminary reports. In consultation with clinician committees, we developed new guidelines for requesting second opinion consultations. We evaluated the impact on the number of consultations for the 1-year period following implementation of this process improvement.
    Results: There was concurrence between the outside interpretation and pediatric subspecialist second opinion in 146 of 158 cases (92%). There was concurrence between the radiology resident and pediatric subspecialist second opinion in 145 of 158 cases (92%). During the 1-year period following our process improvement implementation, the total number of second opinion consultations decreased to 185 (from 572, a decrease of 68%) and the number of overnight requests for resident preliminary reports decreased to 11 (from 158, a decrease of 93%).
    Conclusions: There was a high degree of concurrence between interpretations provided by outside radiologists, overnight radiology residents, and attending pediatric radiologists at our institution. Analyzing institutional-specific discrepancy rates is a valuable first step in partnering with clinicians to develop appropriate guidelines for second opinion consultations.
    MeSH term(s) Humans ; Internship and Residency ; Observer Variation ; Pediatrics/methods ; Radiologists ; Radiology/methods ; Referral and Consultation
    Language English
    Publishing date 2019-05-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 198954-6
    ISSN 1535-6302 ; 0363-0188
    ISSN (online) 1535-6302
    ISSN 0363-0188
    DOI 10.1067/j.cpradiol.2019.05.009
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  10. Article ; Online: Artificial Intelligence for Improved Hepatosplenomegaly Diagnosis.

    Rao, Sriram / Glavis-Bloom, Justin / Bui, Thanh-Lan / Afzali, Kasra / Bansal, Riya / Carbone, Joseph / Fateri, Cameron / Roth, Bradley / Chan, William / Kakish, David / Cortes, Gillean / Wang, Peter / Meraz, Jeanette / Chantaduly, Chanon / Chow, Dan S / Chang, Peter D / Houshyar, Roozbeh

    Current problems in diagnostic radiology

    2023  Volume 52, Issue 6, Page(s) 501–504

    Abstract: Hepatosplenomegaly is commonly diagnosed by radiologists based on single dimension measurements and heuristic cut-offs. Volumetric measurements may be more accurate for diagnosing organ enlargement. Artificial intelligence techniques may be able to ... ...

    Abstract Hepatosplenomegaly is commonly diagnosed by radiologists based on single dimension measurements and heuristic cut-offs. Volumetric measurements may be more accurate for diagnosing organ enlargement. Artificial intelligence techniques may be able to automatically calculate liver and spleen volume and facilitate more accurate diagnosis. After IRB approval, 2 convolutional neural networks (CNN) were developed to automatically segment the liver and spleen on a training dataset comprised of 500 single-phase, contrast-enhanced CT abdomen and pelvis examinations. A separate dataset of ten thousand sequential examinations at a single institution was segmented with these CNNs. Performance was evaluated on a 1% subset and compared with manual segmentations using Sorensen-Dice coefficients and Pearson correlation coefficients. Radiologist reports were reviewed for diagnosis of hepatomegaly and splenomegaly and compared with calculated volumes. Abnormal enlargement was defined as greater than 2 standard deviations above the mean. Median Dice coefficients for liver and spleen segmentation were 0.988 and 0.981, respectively. Pearson correlation coefficients of CNN-derived estimates of organ volume against the gold-standard manual annotation were 0.999 for the liver and spleen (P < 0.001). Average liver volume was 1556.8 ± 498.7 cc and average spleen volume was 194.6 ± 123.0 cc. There were significant differences in average liver and spleen volumes between male and female patients. Thus, the volume thresholds for ground-truth determination of hepatomegaly and splenomegaly were determined separately for each sex. Radiologist classification of hepatomegaly was 65% sensitive, 91% specific, with a positive predictive value (PPV) of 23% and an negative predictive value (NPV) of 98%. Radiologist classification of splenomegaly was 68% sensitive, 97% specific, with a positive predictive value (PPV) of 50% and a negative predictive value (NPV) of 99%. Convolutional neural networks can accurately segment the liver and spleen and may be helpful to improve radiologist accuracy in the diagnosis of hepatomegaly and splenomegaly.
    Language English
    Publishing date 2023-05-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 198954-6
    ISSN 1535-6302 ; 0363-0188
    ISSN (online) 1535-6302
    ISSN 0363-0188
    DOI 10.1067/j.cpradiol.2023.05.005
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