Literature DB >> 24965897

MRI for differentiation of renal cell carcinoma with sarcomatoid component from other renal tumor types.

Mitsuru Takeuchi1, Tatsuya Kawai, Tomohiro Suzuki, Taku Naiki, Noriyasu Kawai, Yukio Fujiyoshi, Hiroshi Inagaki, Kenjiro Kohri, Masaki Hara, Yuta Shibamoto.   

Abstract

PURPOSE: To investigate the usefulness of MRI for detection of sarcomatoid renal cell carcinoma (SRCC) components within RCC and differentiation from other renal tumors.
METHODS: Two observers independently interpreted T2-weighted images of 10 patients with pathologically confirmed RCCs with SRCC and 131 with non-SRCC renal tumors, with special reference to conspicuously low signal intensity (SI) areas (T2LIA) compared to the renal cortex. SRCC probability was classified as (1) definitely non-SRCC, no T2LIA; (2) probably non-SRCC, <1 cm T2LIA; (3) low probability of SRCC, homogeneous tumor with 1-3 cm T2LIA; (4) probably SRCC, heterogeneous tumor with 1-3 cm T2LIA; and (5) definitely SRCC, >3 cm T2LIA, multiple >1 cm T2LIAs, or showing disruption of the pseudocapsule. The observers used chemical shift imaging to exclude the area representing hemorrhage or hemosiderin deposition from T2LIA. Scores of 4/5 were regarded as positive for evaluating the accuracy and area under the receiver operating characteristic curve. The SI ratio of the lowest SI in the tumor to that of the renal cortex in the 1 and ≥2 score groups was compared using Mann-Whitney's U test.
RESULTS: Sensitivity, specificity, accuracy, and positive and negative predictive values were 90%, 95%, 94%, 56%, and 99%, respectively, and area under the receiver operating characteristic curve was 0.93. The mean SI ratio of the lowest SI in the tumor to that of the renal cortex was significantly lower in the ≥2 score group (0.58) than in the 1 score group (1.36).
CONCLUSIONS: MRI predicted RCC with SRCC with a moderate positive predictive value and a high negative predictive value.

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Year:  2015        PMID: 24965897     DOI: 10.1007/s00261-014-0185-y

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  7 in total

1.  Outcomes of Patients with Renal Cell Carcinoma and Sarcomatoid Dedifferentiation Treated with Nephrectomy and Systemic Therapies: Comparison between the Cytokine and Targeted Therapy Eras.

Authors:  Sarp K Keskin; Pavlos Msaouel; Kenneth R Hess; Kai-Jie Yu; Surena F Matin; Kanishka Sircar; Pheroze Tamboli; Eric Jonasch; Christopher G Wood; Jose A Karam; Nizar M Tannir
Journal:  J Urol       Date:  2017-04-11       Impact factor: 7.450

2.  Magnetic resonance imaging (MRI) helps differentiate renal cell carcinoma with sarcomatoid differentiation from renal cell carcinoma without sarcomatoid differentiation.

Authors:  Mitsuru Takeuchi; Adam T Froemming; Akira Kawashima; Prabin Thapa; Rickey E Carter; John C Cheville; R Houston Thompson; Naoki Takahashi
Journal:  Abdom Radiol (NY)       Date:  2022-04-05

3.  Quantification of sarcomatoid differentiation in renal cell carcinoma on magnetic resonance imaging.

Authors:  Daniel Jeong; Natarajan Raghunand; Diego Hernando; Michael Poch; Katherine Jeong; Brendan Eck; Jasreman Dhillon
Journal:  Quant Imaging Med Surg       Date:  2018-05

4.  Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI.

Authors:  Asim Mazin; Samuel H Hawkins; Olya Stringfield; Jasreman Dhillon; Brandon J Manley; Daniel K Jeong; Natarajan Raghunand
Journal:  Sci Rep       Date:  2021-02-15       Impact factor: 4.379

Review 5.  Sarcomatoid renal cell carcinoma: a case report and literature review.

Authors:  Xiang Liang; Yupin Liu; Pengcheng Ran; Meili Tang; Changlei Xu; Yazhen Zhu
Journal:  BMC Nephrol       Date:  2018-04-10       Impact factor: 2.388

6.  A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma.

Authors:  Xiaoli Meng; Jun Shu; Yuwei Xia; Ruwu Yang
Journal:  Biomed Res Int       Date:  2020-07-24       Impact factor: 3.411

Review 7.  Sarcomatoid renal cell carcinoma: biology, natural history and management.

Authors:  Jose A Karam; A Ari Hakimi; Kyle A Blum; Sounak Gupta; Satish K Tickoo; Timothy A Chan; Paul Russo; Robert J Motzer
Journal:  Nat Rev Urol       Date:  2020-10-13       Impact factor: 14.432

  7 in total

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