Literature DB >> 30964422

Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome.

Amandine Crombé1, Pierre-Jean Marcellin1, Xavier Buy1, Eberhard Stoeckle1, Véronique Brouste1, Antoine Italiano1, François Le Loarer1, Michèle Kind1.   

Abstract

Background Managing soft-tissue sarcoma (STS) relies on histologic grade, which is the strongest prognostic factor and a routine assessment at biopsy. However, underestimation of histologic grade may occur because of tumor heterogeneity. Purpose To identify MRI features that are associated with high-grade STS (grade III) and to determine the relationship between MRI features and patient survival. Materials and Methods In this retrospective single-center study, patients (age ≥16 years) were included if they presented with STS diagnosed between 2008 and 2015, had a baseline contrast material-enhanced MRI study, had a pathologic grade assessed on the whole surgical specimen, and had no history of neoadjuvant treatment. Visceral sarcomas, well-differentiated liposarcomas, and angiosarcomas were excluded. Images were evaluated for size, heterogeneity, architecture, margins, and surrounding tissue at T2-weighted, T1-weighted precontrast, and T1-weighted postcontrast MRI. χ2 tests, Fisher tests, and multivariable binary logistic regression were performed to identify features associated with a final grade of III. The associations between combinations of these features and overall survival and metastasis-free survival were investigated with Kaplan-Meier curves and multivariable Cox models. Results A total of 130 patients were included (53 women [mean age ± standard deviation, 60.7 years ± 19.2]); 72 of the 130 (55.4%) STSs were grade III. At multivariable analysis, three MRI features were associated with grade III STS: peritumoral enhancement (odds ratio [OR], 3.4; P = .003), presence of an area compatible with necrosis (OR, 2.4; P = .03), and heterogeneous signal intensities greater than or equal to 50% at T2-weighted imaging (OR, 2.3; P = .04). The presence of at least two of these three features was an independent predictor of metastasis-free survival (hazard ratio, 4.5; P = .01) and overall survival (hazard ratio, 4.2; P = .04). Conclusion MRI features including necrosis, heterogeneity, and peritumoral enhancement of soft-tissue sarcomas were associated with grade III tumors, metastasis-free survival, and overall survival. © RSNA, 2019 Online supplemental material is available for this article.

Entities:  

Mesh:

Year:  2019        PMID: 30964422     DOI: 10.1148/radiol.2019181659

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  23 in total

Review 1.  An update in musculoskeletal tumors: from quantitative imaging to radiomics.

Authors:  Vito Chianca; Domenico Albano; Carmelo Messina; Gabriele Vincenzo; Stefania Rizzo; Filippo Del Grande; Luca Maria Sconfienza
Journal:  Radiol Med       Date:  2021-05-19       Impact factor: 3.469

2.  Comparison of ferumoxytol- and gadolinium chelate-enhanced MRI for assessment of sarcomas in children and adolescents.

Authors:  Florian Siedek; Anne M Muehe; Ashok J Theruvath; Raffi Avedian; Allison Pribnow; Sheri L Spunt; Tie Liang; Crystal Farrell; Heike E Daldrup-Link
Journal:  Eur Radiol       Date:  2019-12-16       Impact factor: 5.315

3.  Can radiomics improve the prediction of metastatic relapse of myxoid/round cell liposarcomas?

Authors:  Amandine Crombé; François Le Loarer; Maxime Sitbon; Antoine Italiano; Eberhard Stoeckle; Xavier Buy; Michèle Kind
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

4.  Soft tissue sarcoma: DWI and DCE-MRI parameters correlate with Ki-67 labeling index.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Sung Wook Seo; Yoon-La Choi; Hyun Su Kim
Journal:  Eur Radiol       Date:  2019-10-18       Impact factor: 5.315

Review 5.  Magnetic resonance imaging of soft tissue sarcoma: features related to prognosis.

Authors:  Giulia Scalas; Anna Parmeggiani; Claudia Martella; Gianmarco Tuzzato; Giuseppe Bianchi; Giancarlo Facchini; Roberta Clinca; Paolo Spinnato
Journal:  Eur J Orthop Surg Traumatol       Date:  2021-05-29

6.  Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors.

Authors:  Brandon K K Fields; Natalie L Demirjian; Darryl H Hwang; Bino A Varghese; Steven Y Cen; Xiaomeng Lei; Bhushan Desai; Vinay Duddalwar; George R Matcuk
Journal:  Eur Radiol       Date:  2021-04-23       Impact factor: 5.315

7.  Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy.

Authors:  Silin Chen; Ning Li; Yuan Tang; Bo Chen; Hui Fang; Shunan Qi; Ninging Lu; Yong Yang; Yongwen Song; Yueping Liu; Shulian Wang; Ye-Xiong Li; Jing Jin
Journal:  Front Oncol       Date:  2021-09-17       Impact factor: 6.244

Review 8.  Multimodality imaging features of USP6-associated neoplasms.

Authors:  Stephen M Broski; Doris E Wenger
Journal:  Skeletal Radiol       Date:  2022-08-13       Impact factor: 2.128

9.  Prognostic factors of the synovial sarcoma of the extremities: imaging does matter.

Authors:  Mickael Tordjman; Charles Honoré; Amandine Crombé; Amine Bouhamama; Antoine Feydy; Laurent Dercle; Leila Haddag; Pierre-Alban Bouché; Carine Ngo; Axel Le Cesne; Jean-Yves Blay; Olivier Mir; Mehdi Brahmi; Charlotte Martin; Marie Karanian; Samy Ammari; Michele Kind; Virginie Audard; François Le Loarer; Behnam Rabiee; Antoine Italiano; Pascaline Boudou-Rouquette; David Biau; Corinne Balleyguier; Frederique Larousserie; Jean-Luc Drapé; Fadila Mihoubi
Journal:  Eur Radiol       Date:  2022-08-18       Impact factor: 7.034

10.  Carcinoma Lung Presenting with Skeletal Muscle Metastasis: Case Report with Review of Literature.

Authors:  Ankit Lalchandani; Yogeshwar Shukla; Mohammad Masoom Parwez
Journal:  Surg J (N Y)       Date:  2021-06-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.