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Improving Accuracy, Reliability, and Efficiency of the RENAL Nephrometry Score With 3D Reconstructed Virtual Imaging.
Yoshitomi, Kasumi Kaneko; Komai, Yoshinobu; Yamamoto, Tatsuya; Fukagawa, Eri; Hamada, Kosuke; Yoneoka, Yusuke; Fujiwara, Motohiro; Fujiwara, Ryo; Oguchi, Tomohiko; Numao, Noboru; Yuasa, Takeshi; Yamamoto, Shinya; Fukui, Iwao; Yonese, Junji.
Afiliação
  • Yoshitomi KK; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Komai Y; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan. Electronic address: yoshinobu.komai@jfcr.or.jp.
  • Yamamoto T; Department of Diagnostic Radiology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Fukagawa E; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Hamada K; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Yoneoka Y; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Fujiwara M; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Fujiwara R; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Oguchi T; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Numao N; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Yuasa T; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Yamamoto S; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Fukui I; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Yonese J; Department of Urology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
Urology ; 164: 286-292, 2022 06.
Article em En | MEDLINE | ID: mdl-35093400
ABSTRACT

OBJECTIVE:

To clarify the diagnostic performance of the three-dimensional reconstructed virtual image (3D-RVI) in evaluating RENAL nephrometry score (RENAL-NS).

METHODS:

This study included 130 patients who underwent preoperative contrast-enhanced computed tomography followed by partial nephrectomy for renal tumors suggestive of renal cell carcinoma. RENAL-NS was calculated prior to the surgery, and tumor resection was performed referring to the score. We retrospectively reviewed preoperative contrast-enhanced computed tomography images. We calculated the inter-observer variability of RENAL-NS using 3D-RVI vs two-dimensional (2D) imaging and compared the ability of RENAL-NS using 3D-RVI vs 2D imaging to predict the risk of opening of the urinary collecting system. We also compared the two modalities for the time required to evaluate RENAL-NS.

RESULTS:

RENAL-NS evaluated using 3D-RVI showed a higher inter-observer agreement compared to 2D-imaging (rs = 0.85 vs rs = 0.65). The "nearness to sinus" score was more strongly associated with the opening of the urinary collecting system when evaluated using 3D-RVI than 2D-imaging (AUC = 0.71 vs AUC = 0.57, P = .016). RENAL-NS using 2D-imaging required a significantly longer time compared to 3D-RVI (P = .036).

CONCLUSION:

Using 3D-RVI improves the accuracy, reliability and efficiency of RENAL-NS evaluation in preoperative assessment and can play an important role in preoperative assessment and intraoperative navigation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Renais / Nefrectomia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Renais / Nefrectomia Idioma: En Ano de publicação: 2022 Tipo de documento: Article