Literature DB >> 17377023

Detection of bladder tumors with dynamic contrast-enhanced MDCT.

Masahiro Jinzaki1, Akihiro Tanimoto, Hiroshi Shinmoto, Yutaka Horiguchi, Kozo Sato, Sachio Kuribayashi, Stuart G Silverman.   

Abstract

OBJECTIVE: In a small pilot study, we assessed whether early-phase dynamic contrast-enhanced MDCT can be used to detect bladder tumors and whether thin reconstruction improves the detection rate. SUBJECTS AND METHODS: Thirty-six patients (30 with 59 cystoscopy-proven bladder cancers and six with normal bladders) underwent dynamic contrast-enhanced MDCT of the pelvis and abdomen. Images were obtained from the symphysis pubis to the diaphragm 70 seconds after injection of 100 mL of contrast medium. McNemar test was used to compare sensitivity per patient, segment, and tumor and specificity per patient and segment for each of three reconstruction methods: 5-mm sections with no overlap (i.e., 5-mm axial images), 2.5-mm sections with 1.25-mm overlap (i.e., thin-section axial images), and 2.5-mm sections with 1.25-mm overlap and multiplanar reformation (MPR) (i.e., thin-section axial images with MPR).
RESULTS: MDCT with a combination of thin, overlapped sections and MPR depicted all but one of 47 bladder tumors larger than 5 mm but only five of 12 tumors 5 mm or smaller. There were no false-positive findings. Per-tumor sensitivity was significantly better with thin-section images with MPR (90%) and thin-section images alone (86%) than with 5-mm axial images (80%) (p < 0.05). Per-segment sensitivity was significantly better with thin-section images with MPR (95%) and thin-section axial images alone (87%) than with 5-mm axial images (79%) (p < 0.05). Per-patient sensitivity and per-patient and per-segment specificity did not differ with the three methods.
CONCLUSION: Dynamic contrast-enhanced MDCT of the pelvis shows promise for the detection of bladder tumors. Use of thin-section images with MPR and thin-section axial images alone had a significantly better rate of detection of bladder tumors than use of 5-mm axial images.

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Year:  2007        PMID: 17377023     DOI: 10.2214/AJR.06.0511

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

Review 1.  Imaging angiogenesis of genitourinary tumors.

Authors:  Ying-Kiat Zee; James P B O'Connor; Geoff J M Parker; Alan Jackson; Andrew R Clamp; M Ben Taylor; Noel W Clarke; Gordon C Jayson
Journal:  Nat Rev Urol       Date:  2010-01-19       Impact factor: 14.432

2.  Natural course of asymptomatic abnormal prostate findings incidentally detected by CT after intravesical BCG therapy.

Authors:  Masashi Matsushima; Eiji Kikuchi; Hirotaka Akita; Akira Miyajima; Mototsugu Oya; Masahiro Jinzaki
Journal:  Int J Clin Oncol       Date:  2017-02-10       Impact factor: 3.402

3.  Accuracy of contrast-enhanced ultrasound in the detection of bladder cancer.

Authors:  C Nicolau; L Bunesch; L Peri; R Salvador; J M Corral; C Mallofre; C Sebastia
Journal:  Br J Radiol       Date:  2010-12-01       Impact factor: 3.039

4.  CT urography: definition, indications and techniques. A guideline for clinical practice.

Authors:  Aart J Van Der Molen; Nigel C Cowan; Ullrich G Mueller-Lisse; Claus C A Nolte-Ernsting; Satoru Takahashi; Richard H Cohan
Journal:  Eur Radiol       Date:  2007-11-01       Impact factor: 5.315

5.  Accuracy and factors affecting the outcome of multi-detector computerized tomography urography for bladder tumors in the clinical setting.

Authors:  Eu Chang Hwang; Jun Seok Kim; Sun-Ouck Kim; Seung Il Jung; Taek Won Kang; Dong Deuk Kwon; Kwangsung Park; Soo Bang Ryu; Jin Woong Kim; Lu Ji Wan
Journal:  Korean J Urol       Date:  2011-01-24

Review 6.  Urinary bladder: normal appearance and mimics of malignancy at CT urography.

Authors:  Atul B Shinagare; Cheryl A Sadow; V Anik Sahni; Stuart G Silverman
Journal:  Cancer Imaging       Date:  2011-06-28       Impact factor: 3.909

7.  Deceptive muscle invasive bladder cancer recurrence with benign biopsy foci after bladder sparing treatment.

Authors:  Chuanliang Xu; Shuxiong Zeng; Zhensheng Zhang; Ruixiang Song; Chong Ma; Xin Chen; Yinghao Sun
Journal:  Medicine (Baltimore)       Date:  2015-06       Impact factor: 1.889

8.  Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.

Authors:  Kenny H Cha; Lubomir Hadjiiski; Heang-Ping Chan; Alon Z Weizer; Ajjai Alva; Richard H Cohan; Elaine M Caoili; Chintana Paramagul; Ravi K Samala
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

9.  Usefulness of advanced monoenergetic reconstruction technique in dual-energy computed tomography for detecting bladder cancer.

Authors:  Motoo Nakagawa; Taku Naiki; Aya Naiki-Ito; Yoshiyuki Ozawa; Masashi Shimohira; Masahiro Ohnishi; Yuta Shibamoto
Journal:  Jpn J Radiol       Date:  2021-09-13       Impact factor: 2.374

10.  Differentiation between high- and low-grade urothelial carcinomas using contrast enhanced ultrasound.

Authors:  Qiuyang Li; Jie Tang; Enhui He; Yanmi Li; Yun Zhou; Baojun Wang
Journal:  Oncotarget       Date:  2017-08-10
  10 in total

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