How Effective Are Noninvasive Tests for Diagnosing Malignant Peripheral Nerve Sheath Tumors in Patients with Neurofibromatosis Type 1? Diagnosing MPNST in NF1 Patients Article Swipe
Maria Schwabe
,
Stanislav I. Spiridonov
,
Elizabeth L. Yanik
,
Jack W. Jennings
,
Travis J. Hillen
,
Maria Rosana Ponisio
,
Douglas J. McDonald
,
Farrokh Dehdashti
,
Cara A. Cipriano
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/4627521
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1155/2019/4627521
Background . Distinguishing between benign and malignant peripheral nerve sheath tumors (MPNSTs) in neurofibromatosis 1 (NF1) patients prior to excision can be challenging. How can MPNST be most accurately diagnosed using clinical symptoms, magnetic resonance imaging (MRI) findings (tumor size, depth, and necrosis), positron emission tomography (PET) measures (SUV peak , SUV max , SUV max tumor /SUV mean liver , and qualitative scale), and combinations of the above? Methods . All NF1 patients who underwent PET imaging at our institution (January 1, 2007–December 31, 2016) were included. Medical records were reviewed for clinical findings; MR images and PET images were interpreted by two fellowship-trained musculoskeletal and nuclear medicine radiologists, respectively. Receiver operating characteristic (ROC) curves were created for each PET measurement; the area under the curve (AUC) and thresholds for diagnosing malignancy were calculated. Logistic regression determined significant predictors of malignancy. Results . Our population of 41 patients contained 34 benign and 36 malignant tumors. Clinical findings did not reliably predict MPNST. Tumor depth below fascia was highly sensitive; larger tumors were more likely to be malignant but without a useful cutoff for diagnosis. Necrosis on MRI was highly accurate and was the only significant variable in the regression model. PET measures were highly accurate, with AUCs comparable and cutoff points consistent with prior studies. A diagnostic algorithm was created using MRI and PET findings. Conclusions . MRI and PET were more effective at diagnosing MPNST than clinical features. We created an algorithm for preoperative evaluation of peripheral nerve sheath tumors in NF1 patients, for which additional validation will be indicated.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2019/4627521
- https://downloads.hindawi.com/journals/sarcoma/2019/4627521.pdf
- OA Status
- hybrid
- Cited By
- 22
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2953955304
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- OpenAlex ID
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https://openalex.org/W2953955304Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2019/4627521Digital Object Identifier
- Title
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How Effective Are Noninvasive Tests for Diagnosing Malignant Peripheral Nerve Sheath Tumors in Patients with Neurofibromatosis Type 1? Diagnosing MPNST in NF1 PatientsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-07-01Full publication date if available
- Authors
-
Maria Schwabe, Stanislav I. Spiridonov, Elizabeth L. Yanik, Jack W. Jennings, Travis J. Hillen, Maria Rosana Ponisio, Douglas J. McDonald, Farrokh Dehdashti, Cara A. CiprianoList of authors in order
- Landing page
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https://doi.org/10.1155/2019/4627521Publisher landing page
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https://downloads.hindawi.com/journals/sarcoma/2019/4627521.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/sarcoma/2019/4627521.pdfDirect OA link when available
- Concepts
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Medicine, Neurofibromatosis, Malignancy, Malignant peripheral nerve sheath tumor, Magnetic resonance imaging, Radiology, Receiver operating characteristic, Positron emission tomography, Cutoff, Pathology, Internal medicine, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
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2025: 1, 2024: 2, 2023: 3, 2022: 6, 2021: 6Per-year citation counts (last 5 years)
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34Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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