Limitations of Computerized Tomography in Staging Invasive Bladder Cancer Before Radical Cystectomy

Paik, Michael L.; Scolieri, Michael J.; Brown, Scott L.; Spirnak, J. Patrick; Resnick, Martin I.

doi:10.1097/00005392-200006000-00014

Cited by 30 publications

(36 citation statements)

References 13 publications

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“…Patients with muscle-invasive BC are known to have a 10–30% risk of metastatic LNs, with an increase in LN metastases of up to 50% in patients with tumors extending into the perivesical fatty tissue [3, 4]. In patients with LN involvement, 5-year recurrence-free survival rates drop to 35% regardless of the T stage [5, 6].…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic Accuracy of F-18 FDG PET/CT for Preoperative Lymph Node Staging in Newly Diagnosed Bladder Cancer Patients: A Systematic Review and Meta-Analysis

Koo

Kim

2018

Oncology

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Aims: We aimed to assess the diagnostic accuracy of F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) for preoperative lymph node (LN) staging in newly diagnosed bladder cancer (BC) patients through a systematic review and meta-analysis. Patients and Methods: MEDLINE, Embase, and the Cochrane Library database, from the earliest available date of indexing through June 30, 2017, were searched for studies evaluating the diagnostic performance of F-18 FDG PET/CT for preoperative LN staging in newly diagnosed BC. We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios (LR+ and LR–), and constructed summary receiver operating characteristic curves. Results: Across 14 studies (785 patients), the pooled sensitivity was 0.57 (95% CI: 0.49–0.64) and the pooled specificity was 0.92 (95% CI: 0.87–0.95). The LR syntheses gave an overall LR+ of 7.4 (95% CI: 4.4–12.3) and an LR– of 0.47 (95% CI: 0.39–0.56). The pooled diagnostic odds ratio was 16 (95% CI: 9–28). Conclusions: F-18 FDG PET/CT shows a low sensitivity and high specificity for the detection of metastatic LNs in patients with newly diagnosed BC.

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Section: Introductionmentioning

confidence: 99%

“…These imaging techniques have proven not to be accurate enough in the evaluation of preoperative LN involvement of BC [3, 10]. …”

Section: Introductionmentioning

confidence: 99%

Diagnostic Accuracy of F-18 FDG PET/CT for Preoperative Lymph Node Staging in Newly Diagnosed Bladder Cancer Patients: A Systematic Review and Meta-Analysis

Koo

Kim

2018

Oncology

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“…Histopathological approaches are very time consuming, need biopsy, and may be costly. Hence, scientists attempt to optimize detection methods and create novel tools [55,61–68]. …”

Section: Cancer Detection Using Ramanmentioning

confidence: 99%

Application of nanoparticles in cancer detection by Raman scattering based techniques

Ravanshad

Zadeh

Amani

et al. 2017

Nano Reviews & Experiments

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In vitro detection technique Raman spectroscopy (Rs), in one number times another Rs based expert ways of art and so on, are useful instruments for cancer discovery. top gave greater value to Raman spectroscopy sers is a relatively new careful way for in vitro and in vivo discovery that takes away bad points of simple Raman spectroscopy (Rs). Raman spectroscopy (RS) and in particular, multiple RS-based techniques are useful for cancer detection. Surface enhanced Raman spectroscopy (SERS) is a relatively new method for both in vitro and in vivo detection, which eliminates the drawbacks of simple RS. Using nanoparticles has elevated the sensitivity and specificity of SERS. SERS has the potential to increase sensitivity, specificity and spatial resolution in cancer detection, especially in cooperation with other diagnostic imaging tools such as magnetic resonance imaging (MRI) and PET-scan polyethylene terephthalate. Developing a hand held instrument for detecting cancer or other illnesses may also be feasible by using SERS. Frequently, novel nanoparticles are used in SERS. With a focus on nanoparticle utilization, we review the benefits of RS in cancer detection and related biomarkers. With a focus on nanoparticles utilizations, the benefits of RS in cancer detection and related biomarkers were reviewed. In addition, Raman applications to detect some of prevalent were discussed. Also more investigated cancers such as breast and colorectal cancer, multiple nanostructures and their possible special biomarkers, especially as SERS nano-tag have been reviewed. The main purpose of this article is introducing of most popular nanotechnological approaches in cancer detection by using Raman techniques. Moreover, have been caught up on detection and reviewed some of the most prevalent and also more investigated cancers such as breast, colorectal cancer, multiple intriguing nanostructures, especially as SERS nano-tag, special cancer biomarkers and related approaches. The main purpose of this article is to introduce the most popular nanotechnological approaches in cancer detection by using Raman techniques.

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“…In an overview by Husband [15], CT has an accuracy of 64–92% for pelvic lymph node staging, while the equivalent figure for MRI is between 72 and 96%. In a study by Paik et al [16]CT had an accuracy of 55%, although extravesical tumor spread and lymph node involement were each detected in only 5% of all the cases examined. The most serious diagnostic limitations of CT result from the underestimation of tumor spread, both locally and in the case of locoregional lymph node involvement.…”

Section: Bladder Cancermentioning

confidence: 99%

Diagnosis and Monitoring of Urological Tumors Using Positron Emission Tomography

et al. 2001

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Limitations of Computerized Tomography in Staging Invasive Bladder Cancer Before Radical Cystectomy

Cited by 30 publications

References 13 publications

Diagnostic Accuracy of F-18 FDG PET/CT for Preoperative Lymph Node Staging in Newly Diagnosed Bladder Cancer Patients: A Systematic Review and Meta-Analysis

Diagnostic Accuracy of F-18 FDG PET/CT for Preoperative Lymph Node Staging in Newly Diagnosed Bladder Cancer Patients: A Systematic Review and Meta-Analysis

Application of nanoparticles in cancer detection by Raman scattering based techniques

Diagnosis and Monitoring of Urological Tumors Using Positron Emission Tomography

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