Literature DB >> 30379727

Native T1 Mapping as an In Vivo Biomarker for the Identification of Higher-Grade Renal Cell Carcinoma: Correlation With Histopathological Findings.

Lisa C Adams1, Bernhard Ralla2, Philipp Jurmeister3, Keno K Bressem1, Ute L Fahlenkamp1, Bernd Hamm1, Jonas Busch2, Marcus R Makowski1.   

Abstract

OBJECTIVES: The aims of this study were to identify higher-grade clear cell renal cell carcinoma (cRCC) with native T1 mapping and to histologically correlate the results with the collagen volume fraction.
MATERIALS AND METHODS: For this institutional review board-approved, single-center prospective study, 68 consecutive patients received abdominal magnetic resonance imaging scans at 1.5 T between January 2017 and July 2018, using a Modified Look-Locker Inversion Recovery (MOLLI) sequence. Thirty patients with cRCC (20 men; mean age, 61.9 ± 13.1 years) who underwent partial or radical nephrectomy and histological grading according to the International Society of Urological Pathology (ISUP) classification and a separate healthy cohort of 30 individuals without renal malignancies or complex cysts (16 men; mean age, 59.7 ± 14.6 years) met the eligibility criteria. T1 values were quantitatively measured with region of interest measurements in T1 maps. Quantification of the collagen volume fraction was performed on histological sections (picrosirius red staining).
RESULTS: Native T1 values were significantly lower for lower-grade cRCC (ISUP 1 and 2) compared with higher-grade cRCC (ISUP 3 and 4; P < 0.001). A cutoff value of 1101 milliseconds distinguished higher-grade from lower-grade tumors with a sensitivity of 100% (95% confidence interval [CI], 0.69-1.00), a specificity of 85% (95% CI, 0.62-0.97), and an accuracy of 90% (95% CI, 0.73-0.98). Native T1 values were significantly associated with the histological collagen volume fraction (P < 0.05). Furthermore, T1 times in the renal cortex, medulla, and tumor tissue showed an excellent interobserver agreement.
CONCLUSIONS: Native T1 mapping could represent an in vivo biomarker for the differentiation of lower- and higher-grade cRCCs, providing incremental diagnostic value beyond qualitative magnetic resonance imaging features.

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Year:  2019        PMID: 30379727     DOI: 10.1097/RLI.0000000000000515

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  5 in total

1.  T1 and ADC histogram parameters may be an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma.

Authors:  Tiexin Cao; Rifeng Jiang; Lingmin Zheng; Rufei Zhang; Xiaodan Chen; Zongmeng Wang; Peirong Jiang; Yilin Chen; Tianjin Zhong; Hu Chen; PuYeh Wu; Yunjing Xue; Lin Lin
Journal:  Eur Radiol       Date:  2022-08-12       Impact factor: 7.034

2.  Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study.

Authors:  Juan Li; Xuemei Gao; Marcel Dominik Nickel; Jingliang Cheng; Jinxia Zhu
Journal:  Cancer Imaging       Date:  2022-06-17       Impact factor: 5.605

3.  Multiparametric Assessment of Changes in Renal Tissue after Kidney Transplantation with Quantitative MR Relaxometry and Diffusion-Tensor Imaging at 3 T.

Authors:  Lisa C Adams; Keno K Bressem; Sonja Scheibl; Max Nunninger; Andre Gentsch; Ute L Fahlenkamp; Kai-Uwe Eckardt; Bernd Hamm; Marcus R Makowski
Journal:  J Clin Med       Date:  2020-05-21       Impact factor: 4.241

4.  Native T1-mapping and diffusion-weighted imaging (DWI) can be used to identify lung cancer pathological types and their correlation with Ki-67 expression.

Authors:  Guangzheng Li; Renjun Huang; Mo Zhu; Mingzhan Du; Jingfen Zhu; Zongqiong Sun; Kaili Liu; Yonggang Li
Journal:  J Thorac Dis       Date:  2022-02       Impact factor: 2.895

5.  Contrast-enhanced magnetic resonance (MR) T1 mapping with low-dose gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) is promising in identifying clear cell renal cell carcinoma histopathological grade and differentiating fat-poor angiomyolipoma.

Authors:  Shuai Wang; Junheng Li; Diru Zhu; Ting Hua; Binghui Zhao
Journal:  Quant Imaging Med Surg       Date:  2020-05
  5 in total

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