MR classification of renal masses with pathologic correlation.
To perform a feature analysis of malignant renal tumors evaluated with magnetic resonance (MR) imaging and to investigate the correlation between MR imaging features and histopathological findings. MR examinations in 79 malignant renal masses were retrospectively evaluated, and a feature analysis wa...
| Publicado en: | European Radiology Vol. 18; no. 2; pp. 365 - 376 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105753418&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105753418 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Feb2008 vid: 18 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105753418 NLM17899106 2009813995 10.1007/s00330-007-0757-0 NLM17899106 105753418 ppf: 365 ppct: 11 formats: fmt: @attributes: type: P tig: atl: MR classification of renal masses with pathologic correlation. aug: au: Pedrosa I Chou MT Ngo L H Baroni R Genega EM Galaburda L Dewolf WC Rofsky NM Pedrosa, Ivan Chou, Mary T Ngo, Long H Baroni, Ronaldo Genega, Elizabeth M Galaburda, Laura DeWolf, William C Rofsky, Neil M affil: Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02118, USA sug: subj: Carcinoma, Renal Cell Diagnosis Kidney Neoplasms Diagnosis Kidney Pathology Magnetic Resonance Imaging Methods Adult Aged Aged, 80 and Over Carcinoma, Renal Cell Pathology Contrast Media Administration and Dosage Female Image Enhancement Methods Kidney Neoplasms Pathology Male Middle Age Neoplasm Staging Observer Bias Predictive Value of Tests Relative Risk Retrospective Design Sensitivity and Specificity Human Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: To perform a feature analysis of malignant renal tumors evaluated with magnetic resonance (MR) imaging and to investigate the correlation between MR imaging features and histopathological findings. MR examinations in 79 malignant renal masses were retrospectively evaluated, and a feature analysis was performed. Each renal mass was assigned to one of eight categories from a proposed MRI classification system. The sensitivity and specificity of the MRI classification system to predict the histologic subtype and nuclear grade was calculated. Subvoxel fat on chemical shift imaging correlated to clear cell type (p < 0.05); sensitivity = 42%, specificity = 100%. Large size, intratumoral necrosis, retroperitoneal vascular collaterals, and renal vein thrombosis predicted high-grade clear cell type (p < 0.05). Small size, peripheral location, low intratumoral SI on T2-weighted images, and low-level enhancement were associated with low-grade papillary carcinomas (p < 0.05). The sensitivity and specificity of the MRI classification system for diagnosing low grade clear cell, high-grade clear cell, all clear cell, all papillary, and transitional carcinomas were 50% and 94%, 93% and 75%, 92% and 83%, 80% and 94%, and 100% and 99%, respectively. The MRI feature analysis and proposed classification system help predict the histological type and nuclear grade of renal masses. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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