Literature DB >> 33040177

Sclerotic bone lesions caused by non-infectious and non-neoplastic diseases: a review of the imaging and clinicopathologic findings.

Vaibhav Gulati1, Majid Chalian2, Jaehyuck Yi3, Uma Thakur4, Avneesh Chhabra5,6,7,8,9.   

Abstract

Bone sclerosis is a focal, multifocal, or diffuse increase in the density of the bone matrix on radiographs or computed tomography (CT) imaging. This radiological finding can be caused by a broad spectrum of diseases, such as congenital and developmental disorders, depositional disorders, and metabolic diseases. The differential diagnosis can be effectively narrowed by an astute radiologist in the light of the clinical picture and typical findings on imaging. Some of these lesions are rare and have been described as case reports and series in the literature. This article aims to collate the clinical-radiologic findings of non-infectious and non-neoplastic causes of bone sclerosis with relevant imaging illustrations.

Entities:  

Keywords:  Bone sclerosis; Fluorosis; Gaucher’s disease; Pyknodysostosis; Renal osteodystrophy; Ribbing disease

Mesh:

Year:  2020        PMID: 33040177     DOI: 10.1007/s00256-020-03644-0

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  67 in total

Review 1.  An Approach to the Evaluation of Incidentally Identified Bone Lesions Encountered on Imaging Studies.

Authors:  Stephanie Bernard; Eric Walker; Meera Raghavan
Journal:  AJR Am J Roentgenol       Date:  2017-05       Impact factor: 3.959

2.  Radiological, biochemical and hereditary evidence of two types of autosomal dominant osteopetrosis.

Authors:  J Bollerslev; P E Andersen
Journal:  Bone       Date:  1988       Impact factor: 4.398

Review 3.  Skull base manifestations of Camurati-Engelmann disease.

Authors:  Matthew L Carlson; Charles W Beatty; Brian A Neff; Michael J Link; Colin L W Driscoll
Journal:  Arch Otolaryngol Head Neck Surg       Date:  2010-06

Review 4.  Camurati-Engelmann disease: review of the clinical, radiological, and molecular data of 24 families and implications for diagnosis and treatment.

Authors:  K Janssens; F Vanhoenacker; M Bonduelle; L Verbruggen; L Van Maldergem; S Ralston; N Guañabens; N Migone; S Wientroub; M T Divizia; C Bergmann; C Bennett; S Simsek; S Melançon; T Cundy; W Van Hul
Journal:  J Med Genet       Date:  2005-05-13       Impact factor: 6.318

Review 5.  Osteopetrosis.

Authors:  Zornitza Stark; Ravi Savarirayan
Journal:  Orphanet J Rare Dis       Date:  2009-02-20       Impact factor: 4.123

Review 6.  Newer PET application with an old tracer: role of 18F-NaF skeletal PET/CT in oncologic practice.

Authors:  Sarah Bastawrous; Puneet Bhargava; Fatemeh Behnia; David S W Djang; David R Haseley
Journal:  Radiographics       Date:  2014 Sep-Oct       Impact factor: 5.333

Review 7.  Genetics, pathogenesis and complications of osteopetrosis.

Authors:  Andrea Del Fattore; Alfredo Cappariello; Anna Teti
Journal:  Bone       Date:  2007-08-30       Impact factor: 4.398

Review 8.  Applications of PET-MRI in musculoskeletal disease.

Authors:  Feliks Kogan; Stephen M Broski; Daehyun Yoon; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2018-07       Impact factor: 4.813

9.  Clinical, genetic, and cellular analysis of 49 osteopetrotic patients: implications for diagnosis and treatment.

Authors:  A Del Fattore; B Peruzzi; N Rucci; I Recchia; A Cappariello; M Longo; D Fortunati; P Ballanti; M Iacobini; M Luciani; R Devito; R Pinto; M Caniglia; E Lanino; C Messina; S Cesaro; C Letizia; G Bianchini; H Fryssira; P Grabowski; N Shaw; N Bishop; D Hughes; R P Kapur; H K Datta; A Taranta; R Fornari; S Migliaccio; A Teti
Journal:  J Med Genet       Date:  2005-08-23       Impact factor: 6.318

10.  Metastatic mimics on bone scan: "All that glitters is not metastatic".

Authors:  Archi Agrawal; Nilendu Purandare; Sneha Shah; Venkatesh Rangarajan
Journal:  Indian J Nucl Med       Date:  2016 Jul-Sep
View more
  2 in total

1.  Frequency and imaging features of the adjacent osseous changes of salivary gland carcinomas in the head and neck region.

Authors:  Daisuke Horiuchi; Taro Shimono; Hiroyuki Tatekawa; Taro Tsukamoto; Hirotaka Takita; Masahiro Okazaki; Yukio Miki
Journal:  Neuroradiology       Date:  2022-05-07       Impact factor: 2.995

2.  Can AI distinguish a bone radiograph from photos of flowers or cars? Evaluation of bone age deep learning model on inappropriate data inputs.

Authors:  Paul H Yi; Anirudh Arun; Nima Hafezi-Nejad; Garry Choy; Haris I Sair; Ferdinand K Hui; Jan Fritz
Journal:  Skeletal Radiol       Date:  2021-08-05       Impact factor: 2.199

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.