Usefulness of a Pretreatment CT-Based Modified RENAL Nephrometry Score in Predicting Renal Function After Cryotherapy for T1a Renal Mass

Yoshiki Asayama, Akihiro Nishie, yasuhiro ushijima, Daisuke Okamoto, Koichiro Morita, Seiichiro Takao, Daisuke Kakihara, Keisuke Ishimatsu, Kousei Ishigami, Nobuhiro Fujita, Hiroshi Honda

Research output: Contribution to journalArticle

Abstract

Purpose: We investigated the usefulness of the modified RENAL nephrometry (mRN) scoring system for predicting post-cryotherapy renal function in patients with T1a renal mass. Patients and Methods: A total of 75 patients with a T1a renal mass were enrolled. The mRN score was determined based on the tumor size, the tumor’s exophytic/endophytic properties, the tumor’s nearness to the collecting system, and the anterior/posterior location of the kidney. The change in the estimated glomerular filtration rate (ΔeGFR) was calculated as follows: ΔeGFR = 100 × ([pretreatment eGFR − eGFR at 6 months after cryotherapy]/pretreatment eGFR). Based on the ΔeGFR results, we classified the patients into two groups: a preserved renal function group (ΔeGFR < 10%) and an impaired renal function group (ΔeGFR ≥ 10%). We then analyzed the relationships between the mRN score and ΔeGFR and between the mRN score and the chronic kidney disease (CKD) stage. Results: The mean ΔeGFR for all patients was 5.5%. The mRN scores of the preserved renal function group (5.8 ± 0.3) were significantly lower than those of the impaired group (7.4 ± 0.3) (p < 0.001). When the mRN score cutoff value was set at 7 points, the mRN had 67.7% sensitivity, 72.7% specificity, 61.8% positive predictive value (PPV), 76.1% negative predictive value (NPV), and 70.7% accuracy for predicting impaired renal function. For predicting a deterioration of CKD stage, the mRN had 92.9% sensitivity, 67.2% specificity, 39.4% PPV, 97.6% NPV, and 72% accuracy. Conclusion: Our newly proposed modified RENAL nephrometry score was suggested to be useful for predicting renal function after renal cryotherapy.

Original languageEnglish
Pages (from-to)1128-1134
Number of pages7
JournalCardioVascular and Interventional Radiology
Volume42
Issue number8
DOIs
Publication statusPublished - Aug 15 2019

Fingerprint

Cryotherapy
Glomerular Filtration Rate
Kidney
Chronic Renal Insufficiency
Sensitivity and Specificity
Neoplasms

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Usefulness of a Pretreatment CT-Based Modified RENAL Nephrometry Score in Predicting Renal Function After Cryotherapy for T1a Renal Mass. / Asayama, Yoshiki; Nishie, Akihiro; ushijima, yasuhiro; Okamoto, Daisuke; Morita, Koichiro; Takao, Seiichiro; Kakihara, Daisuke; Ishimatsu, Keisuke; Ishigami, Kousei; Fujita, Nobuhiro; Honda, Hiroshi.

In: CardioVascular and Interventional Radiology, Vol. 42, No. 8, 15.08.2019, p. 1128-1134.

Research output: Contribution to journalArticle

Asayama, Yoshiki ; Nishie, Akihiro ; ushijima, yasuhiro ; Okamoto, Daisuke ; Morita, Koichiro ; Takao, Seiichiro ; Kakihara, Daisuke ; Ishimatsu, Keisuke ; Ishigami, Kousei ; Fujita, Nobuhiro ; Honda, Hiroshi. / Usefulness of a Pretreatment CT-Based Modified RENAL Nephrometry Score in Predicting Renal Function After Cryotherapy for T1a Renal Mass. In: CardioVascular and Interventional Radiology. 2019 ; Vol. 42, No. 8. pp. 1128-1134.
@article{28608298e5c64909877e3411e32b3f06,
title = "Usefulness of a Pretreatment CT-Based Modified RENAL Nephrometry Score in Predicting Renal Function After Cryotherapy for T1a Renal Mass",
abstract = "Purpose: We investigated the usefulness of the modified RENAL nephrometry (mRN) scoring system for predicting post-cryotherapy renal function in patients with T1a renal mass. Patients and Methods: A total of 75 patients with a T1a renal mass were enrolled. The mRN score was determined based on the tumor size, the tumor’s exophytic/endophytic properties, the tumor’s nearness to the collecting system, and the anterior/posterior location of the kidney. The change in the estimated glomerular filtration rate (ΔeGFR) was calculated as follows: ΔeGFR = 100 × ([pretreatment eGFR − eGFR at 6 months after cryotherapy]/pretreatment eGFR). Based on the ΔeGFR results, we classified the patients into two groups: a preserved renal function group (ΔeGFR < 10{\%}) and an impaired renal function group (ΔeGFR ≥ 10{\%}). We then analyzed the relationships between the mRN score and ΔeGFR and between the mRN score and the chronic kidney disease (CKD) stage. Results: The mean ΔeGFR for all patients was 5.5{\%}. The mRN scores of the preserved renal function group (5.8 ± 0.3) were significantly lower than those of the impaired group (7.4 ± 0.3) (p < 0.001). When the mRN score cutoff value was set at 7 points, the mRN had 67.7{\%} sensitivity, 72.7{\%} specificity, 61.8{\%} positive predictive value (PPV), 76.1{\%} negative predictive value (NPV), and 70.7{\%} accuracy for predicting impaired renal function. For predicting a deterioration of CKD stage, the mRN had 92.9{\%} sensitivity, 67.2{\%} specificity, 39.4{\%} PPV, 97.6{\%} NPV, and 72{\%} accuracy. Conclusion: Our newly proposed modified RENAL nephrometry score was suggested to be useful for predicting renal function after renal cryotherapy.",
author = "Yoshiki Asayama and Akihiro Nishie and yasuhiro ushijima and Daisuke Okamoto and Koichiro Morita and Seiichiro Takao and Daisuke Kakihara and Keisuke Ishimatsu and Kousei Ishigami and Nobuhiro Fujita and Hiroshi Honda",
year = "2019",
month = "8",
day = "15",
doi = "10.1007/s00270-019-02238-1",
language = "English",
volume = "42",
pages = "1128--1134",
journal = "CardioVascular and Interventional Radiology",
issn = "7415-5101",
publisher = "Springer Verlag",
number = "8",

}

TY - JOUR

T1 - Usefulness of a Pretreatment CT-Based Modified RENAL Nephrometry Score in Predicting Renal Function After Cryotherapy for T1a Renal Mass

AU - Asayama, Yoshiki

AU - Nishie, Akihiro

AU - ushijima, yasuhiro

AU - Okamoto, Daisuke

AU - Morita, Koichiro

AU - Takao, Seiichiro

AU - Kakihara, Daisuke

AU - Ishimatsu, Keisuke

AU - Ishigami, Kousei

AU - Fujita, Nobuhiro

AU - Honda, Hiroshi

PY - 2019/8/15

Y1 - 2019/8/15

N2 - Purpose: We investigated the usefulness of the modified RENAL nephrometry (mRN) scoring system for predicting post-cryotherapy renal function in patients with T1a renal mass. Patients and Methods: A total of 75 patients with a T1a renal mass were enrolled. The mRN score was determined based on the tumor size, the tumor’s exophytic/endophytic properties, the tumor’s nearness to the collecting system, and the anterior/posterior location of the kidney. The change in the estimated glomerular filtration rate (ΔeGFR) was calculated as follows: ΔeGFR = 100 × ([pretreatment eGFR − eGFR at 6 months after cryotherapy]/pretreatment eGFR). Based on the ΔeGFR results, we classified the patients into two groups: a preserved renal function group (ΔeGFR < 10%) and an impaired renal function group (ΔeGFR ≥ 10%). We then analyzed the relationships between the mRN score and ΔeGFR and between the mRN score and the chronic kidney disease (CKD) stage. Results: The mean ΔeGFR for all patients was 5.5%. The mRN scores of the preserved renal function group (5.8 ± 0.3) were significantly lower than those of the impaired group (7.4 ± 0.3) (p < 0.001). When the mRN score cutoff value was set at 7 points, the mRN had 67.7% sensitivity, 72.7% specificity, 61.8% positive predictive value (PPV), 76.1% negative predictive value (NPV), and 70.7% accuracy for predicting impaired renal function. For predicting a deterioration of CKD stage, the mRN had 92.9% sensitivity, 67.2% specificity, 39.4% PPV, 97.6% NPV, and 72% accuracy. Conclusion: Our newly proposed modified RENAL nephrometry score was suggested to be useful for predicting renal function after renal cryotherapy.

AB - Purpose: We investigated the usefulness of the modified RENAL nephrometry (mRN) scoring system for predicting post-cryotherapy renal function in patients with T1a renal mass. Patients and Methods: A total of 75 patients with a T1a renal mass were enrolled. The mRN score was determined based on the tumor size, the tumor’s exophytic/endophytic properties, the tumor’s nearness to the collecting system, and the anterior/posterior location of the kidney. The change in the estimated glomerular filtration rate (ΔeGFR) was calculated as follows: ΔeGFR = 100 × ([pretreatment eGFR − eGFR at 6 months after cryotherapy]/pretreatment eGFR). Based on the ΔeGFR results, we classified the patients into two groups: a preserved renal function group (ΔeGFR < 10%) and an impaired renal function group (ΔeGFR ≥ 10%). We then analyzed the relationships between the mRN score and ΔeGFR and between the mRN score and the chronic kidney disease (CKD) stage. Results: The mean ΔeGFR for all patients was 5.5%. The mRN scores of the preserved renal function group (5.8 ± 0.3) were significantly lower than those of the impaired group (7.4 ± 0.3) (p < 0.001). When the mRN score cutoff value was set at 7 points, the mRN had 67.7% sensitivity, 72.7% specificity, 61.8% positive predictive value (PPV), 76.1% negative predictive value (NPV), and 70.7% accuracy for predicting impaired renal function. For predicting a deterioration of CKD stage, the mRN had 92.9% sensitivity, 67.2% specificity, 39.4% PPV, 97.6% NPV, and 72% accuracy. Conclusion: Our newly proposed modified RENAL nephrometry score was suggested to be useful for predicting renal function after renal cryotherapy.

UR - http://www.scopus.com/inward/record.url?scp=85065637182&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065637182&partnerID=8YFLogxK

U2 - 10.1007/s00270-019-02238-1

DO - 10.1007/s00270-019-02238-1

M3 - Article

C2 - 31073824

AN - SCOPUS:85065637182

VL - 42

SP - 1128

EP - 1134

JO - CardioVascular and Interventional Radiology

JF - CardioVascular and Interventional Radiology

SN - 7415-5101

IS - 8

ER -