Systematic review on the accuracy of positron emission tomography/computed tomography and positron emission tomography/magnetic resonance imaging in the management of ovarian cancer: Is functional information really needed?

Suppiah, Subapriya; Chang, Wing Liong; Hassan, Hasyma Abu; Kaewput, Chalermrat; Asri, Andi Anggeriana Andi; Saad, Fathinul Fikri Ahmad; Nordin, Abdul Jalil; Vinjamuri, Sobhan

doi:10.4103/wjnm.wjnm_31_17

Cited by 33 publications

(21 citation statements)

References 68 publications

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“…Conventional imaging techniques are not considered sufficiently adequate to assess LN involvement in AOC . Functional imaging techniques such as positron emission tomography/computed tomography and diffusion‐weighted magnetic resonance imaging seem to be the most accurate techniques for predicting the pathological status of retroperitoneal LNs in OC …”

Section: Discussionmentioning

confidence: 99%

“…22,23 Functional imaging techniques such as positron emission tomography/computed tomography and diffusion-weighted magnetic resonance imaging seem to be the most accurate techniques for predicting the pathological status of retroperitoneal LNs in OC. [23][24][25] Currently, no intraoperative imaging technique exists that can be used to accurately detect involved LNs either intraoperatively, by guiding lymphadenectomy, or after lymphadenectomy (ex vivo), guiding the pathologist for operative specimen analysis. 23 FI using IV injection of ICG has been reported to be a new promising noninvasive technology for the detection of metastatic tumor cell deposits in LNs of head and neck cancer, hepatocellular carcinoma, colorectal cancer, and prostate cancer.…”

Section: Discussionmentioning

confidence: 99%

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Ex vivo indocyanine green fluorescence imaging for the detection of lymph node involvement in advanced‐stage ovarian cancer

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Veys

Galdón

et al. 2018

Journal of Surgical Oncology

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Background and objectives The aim of this study was to evaluate the role of indocyanine green (ICG) fluorescence imaging (FI) for the ex vivo detection of metastatic lymph nodes (LNs) in advanced stage ovarian cancer (AOC). Methods Paraffin‐embedded LNs from patients included in a previous ICG‐FI study (Protocol NCT01834469) were further assessed for fluorescence. Intravenous injection of ICG was delivered intraoperatively. Tumor‐to‐background ratios (TBRs) were calculated. Results A total of 675 LNs from 19 patients were analyzed. The mean LN number per patient was 29.3 (median: 24; range 2‐77). Seventy‐three LNs were malignant (10.8%), 602 were benign (89.2%). The mean TBR of all LNs was 1.5 (SD 0.8). With a cut‐off TBR of 1.3, the sensitivity, specificity, positive predictive, and negative predictive values of ICG‐FI for retroperitoneal LNs were 80%, 41%, 2.8%, and 99%, respectively. On univariate analysis, only the fluorescence ratio (TBR ≥ 1.3) was correlated with malignancy at pathology (P = 0.03). No predictive factors of pathological LN status were found on multivariate analysis. Conclusions Ex vivo ICG‐FI of retroperitoneal LNs in AOC had good sensitivity but poor specificity. However, its high negative predictive value could make it an appropriate complementary tool to focus pathological analysis on fluorescent LNs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Ex vivo indocyanine green fluorescence imaging for the detection of lymph node involvement in advanced‐stage ovarian cancer

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Veys

Galdón

et al. 2018

Journal of Surgical Oncology

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“…Furthermore, sophisticated sequences such as diffusion-weighted imaging, functional MRI, and MR spectroscopy can all be incorporated with molecular imaging, giving further information but with less radiation exposure. This can provide a significant reduction in radiation dose and exposure in patients who require follow-up imaging [3].…”

Section: Other Research-based Imaging Techniques and Work In Progressmentioning

confidence: 99%

“…This chapter regarding diagnostic imaging aims to guide multidisciplinary teams to decide on further investigation of ovarian cancer (OC), by proposing a diagnostic imaging algorithm (Figure 1) for the detection and staging of this disease [1,2]. Furthermore, it provides a special focus on the evolving utility of molecular imaging, specifically PET/CT imaging in the management of ovarian cancer [3].…”

Section: Introductionmentioning

confidence: 99%

The Past, Present and Future of Diagnostic Imaging in Ovarian Cancer

Suppiah¹

2018

Ovarian Cancer - From Pathogenesis to Treatment

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Ovarian cancers (OC) include a group of diseases with variable prognoses. While most conventional imaging techniques rely on the detection of tumour burden and distant spread to identify treatment plans, more emphasis is now being placed on screening for early detection and also for more accurate staging using molecular imaging techniques. It is generally accepted that there are some incremental benefits of using serum CA125 levels coupled with cross-sectional diagnostic imaging to aid in the diagnosis, staging and treatment planning of OC. This chapter provides a review of tests and diagnostic imaging modalities that aid in the detection and staging of OC with a particular focus on F18-Fluorodeoxyglucose positron emission tomography/computed tomography (F18-FDG PET/CT) imaging. This chapter also proposes a diagnostic algorithm for the management of ovarian cancer. F18-FDG PET/CT imaging can act as a catalyst for the development of personalised medicine by stimulating advancements in targeted therapy. In conclusion, diagnostic imaging with particular focus in molecular imaging has the potential for altering management plans, which can ultimately help improve the prognosis of ovarian cancer.

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“…The use of functional imaging in clinical practice, such as technetium99mhexamethylpropylene amine oxime SPECT and 18F-FDG positron emission tomography/computed tomography (PET/CT), as well as amyloid imaging PET/CT, is gaining momentum as noninvasive imaging biomarkers to provide a better diagnostic accuracy. [8][9][10] Molecular imaging using 18F-FDG PET/CT has been widely used for oncology imaging, 8,11 and also for diagnosing infection,12 neurology, and cardiology cases.13 Previous research has shown that 18F-FDG PET/CT can act as a noninvasive biomarker of cognitive decline and this imaging technique is widely available in several centers.14 Measurement of cerebral glucose hypometabolism acts as a surrogate biomarker for NCDs, wherein reduced activity in the temporoparietal lobes of the brain is a hallmark of Alzheimer's disease. 15 The quantitative measurement for PET/CT uses standardized uptake values (SUVs) that take into account the ratio of FDG distribution in the body.…”

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confidence: 99%

Voxel-wise analysis of 18F-fluorodeoxyglucose metabolism in correlation with variations in the presentation of Alzheimer’s disease: a clinician’s guide

et al. 2019

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BACKGROUND Diagnostic imaging can be applied in the management of Alzheimer’s disease as it provides structural and functional information to exclude possible secondary causes and offers additional information, especially in atypical cases of Alzheimer’s disease. The utility of positron emission tomography/computed tomography (PET/CT) can help in the noninvasive diagnosis of Alzheimer’s disease by voxel-wise quantification of cerebral 18F-fluorodeoxyglucose (FDG) metabolism. METHODS This prospective study was conducted among 10 subjects with Alzheimer’s disease and 10 healthy control subjects who underwent neuropsychological testing and 18F-FDG PET/CT scans. Images of the brain were postprocessed using voxel-wise analysis and segmented into 20 regions of interest. The standardized uptake value (SUV)max/SUVmean/standard deviation of SUVmean results were analyzed accordingly and correlated with the subjects’ Montreal cognitive assessment (MoCA) results that were adjusted for age and education level. RESULTS Hypometabolism at the right parietal lobe significantly correlated with increasing age and lower MoCA scores. Global hypometabolism was observed in subjects who had advanced Alzheimer’s disease but preserved primary somatosensory cortices (S1) region metabolism. Predominance of frontal lobe hypometabolism was a feature of subjects with Alzheimer’s disease having associated depressive symptoms. CONCLUSIONS 18F-FDG PET/CT voxel-wise analysis can be used for quantitative assessment and can assist clinicians in the diagnosis of Alzheimer’s disease and other variations of the disease spectrum.

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Systematic review on the accuracy of positron emission tomography/computed tomography and positron emission tomography/magnetic resonance imaging in the management of ovarian cancer: Is functional information really needed?

Cited by 33 publications

References 68 publications

Ex vivo indocyanine green fluorescence imaging for the detection of lymph node involvement in advanced‐stage ovarian cancer

Ex vivo indocyanine green fluorescence imaging for the detection of lymph node involvement in advanced‐stage ovarian cancer

The Past, Present and Future of Diagnostic Imaging in Ovarian Cancer

Voxel-wise analysis of 18F-fluorodeoxyglucose metabolism in correlation with variations in the presentation of Alzheimer’s disease: a clinician’s guide

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