Associations between radiographic features, clinical features and ultrasound of thumb‐base osteoarthritis: A secondary analysis of the COMBO study

ObjectiveTo present the current terminology and natural history of neurofibromatosis 1 (NF1) cutaneous neurofibromas (cNF).MethodsNF1 experts from various research and clinical backgrounds reviewed the terms currently in use for cNF as well as the clinical, histologic, and radiographic features of these tumors using published and unpublished data.ResultsNeurofibromas develop within nerves, soft tissue, and skin. The primary distinction between cNF and other neurofibromas is that cNF are limited to the skin whereas other neurofibromas may involve the skin, but are not limited to the skin. There are important cellular, molecular, histologic, and clinical features of cNF. Each of these factors is discussed in consideration of a clinicopathologic framework for cNF.ConclusionThe development of effective therapies for cNF requires formulation of diagnostic criteria that encompass the clinical and histologic features of these tumors. However, there are several areas of overlap between cNF and other neurofibromas that make distinctions between cutaneous and other neurofibromas more difficult, requiring careful deliberation with input across the multiple disciplines that encounter these tumors and ultimately, prospective validation. The ultimate goal of this work is to facilitate accurate diagnosis and meaningful therapeutics for cNF.

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Spinal Tuberculosis (Pott's disease) Mimicking Paravertebral Malignant Tumor in a Child Presenting with Spinal Cord Compression

Journal of Laboratory Physicians ◽

10.4103/0974-2727.105590 ◽

2012 ◽

Vol 4 (02) ◽

pp. 098-100 ◽

Cited By ~ 1

Author(s):

Suna Emir ◽

Arzu Y Erdem ◽

Hacı A Demir ◽

Ayper Kaçar ◽

Bahattin Tunç

Keyword(s):

Spinal Cord ◽

Clinical Features ◽

Spinal Cord Compression ◽

Malignant Tumor ◽

Spinal Tuberculosis ◽

Delayed Diagnosis ◽

Cord Compression ◽

Radiographic Features ◽

Pott’S Disease ◽

Clinical Conditions

ABSTRACTParavertebral tumors may interfere with the radiological and clinical features of spinal tuberculosis. We report a case of a 3-year-old boy with spinal tuberculosis who was initially misdiagnosed as having a paraspinal tumor. The diagnosis of tuberculosis was made on the basis of intraoperative findings and confirmed by histopathology. This case highlights the importance of awareness of the different radiographic features of spinal tuberculosis, which can mimic a spinal malignancy. In order to avoid delayed diagnosis, pediatricians and radiologists must be aware of spinal tuberculosis, which may interfere with other clinical conditions.

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The diagnostic challenge of progressive pseudorheumatoid dysplasia (PPRD): A review of clinical features, radiographic features, and WISP3 mutations in 63 affected individuals

American Journal of Medical Genetics Part C Seminars in Medical Genetics ◽

10.1002/ajmg.c.31333 ◽

2012 ◽

Vol 160C (3) ◽

pp. 217-229 ◽

Cited By ~ 42

Author(s):

Nuria Garcia Segarra ◽

Laureane Mittaz ◽

Ana Belinda Campos-Xavier ◽

Cynthia F. Bartels ◽

Beyhan Tuysuz ◽

...

Keyword(s):

Clinical Features ◽

Diagnostic Challenge ◽

Radiographic Features ◽

Progressive Pseudorheumatoid Dysplasia

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Radiographic features, better than clinical features, represent actual joint degeneration and inflammation: considerations for total knee replacement surgery

Osteoarthritis and Cartilage ◽

10.1016/j.joca.2012.02.250 ◽

2012 ◽

Vol 20 ◽

pp. S166

Author(s):

T.N. de Boer ◽

S.C. Mastbergen ◽

A.M. Huisman ◽

A.A. Polak ◽

W.H. Noort-vanderLaan ◽

...

Keyword(s):

Total Knee Replacement ◽

Clinical Features ◽

Knee Replacement ◽

Joint Degeneration ◽

Knee Replacement Surgery ◽

Radiographic Features ◽

Replacement Surgery ◽

Total Knee Replacement Surgery ◽

Total Knee ◽

Better Than

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IDH-Based Radiogenomic Characterization of Glioma Using Local Ternary Pattern Descriptor Integrated with Radiographic Features and Random Forest Classifier

International Journal of Image and Graphics ◽

10.1142/s0219467821400131 ◽

2021 ◽

pp. 2140013

Author(s):

Sonal Gore ◽

Jayant Jagtap

Keyword(s):

Random Forest ◽

Clinical Features ◽

Random Forest Classifier ◽

The Cancer Genome Atlas ◽

Molecular Diagnostic ◽

Low Grade ◽

Wild Type ◽

Radiographic Features ◽

Local Ternary Pattern

Mutations in family of Isocitrate Dehydrogenase (IDH) gene occur early in oncogenesis, especially with glioma brain tumor. Molecular diagnostic of glioma using machine learning has grabbed attention to some extent from last couple of years. The development of molecular-level predictive approach carries great potential in radiogenomic field. But more focused efforts need to be put to develop such approaches. This study aims to develop an integrative genomic diagnostic method to assess the significant utility of textures combined with other radiographic and clinical features for IDH classification of glioma into IDH mutant and IDH wild type. Random forest classifier is used for classification of combined set of clinical features and radiographic features extracted from axial T2-weighted Magnetic Resonance Imaging (MRI) images of low- and high-grade glioma. Such radiogenomic analysis is performed on The Cancer Genome Atlas (TCGA) data of 74 patients of IDH mutant and 104 patients of IDH wild type. Texture features are extracted using uniform, rotation invariant Local Ternary Pattern (LTP) method. Other features such as shape, first-order statistics, image contrast-based, clinical data like age, histologic grade are combined with LTP features for IDH discrimination. Proposed random forest-assisted model achieved an accuracy of 85.89% with multivariate analysis of integrated set of feature descriptors using Glioblastoma and Low-Grade Glioma dataset available with The Cancer Imaging Archive (TCIA). Such an integrated feature analysis using LTP textures and other descriptors can effectively predict molecular class of glioma as IDH mutant and wild type.

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