Artificial Intelligent Stenosis Diagnosis in Coronary CTA: Effect on the Performance and Consistency of Readers with Less Cardiovascular Experience

Abstract Background: To investigate the influence of artificial intelligent (AI) based on deep learning on the diagnostic performance and consistency of inexperienced cardiovascular radiologists.Methods: We enrolled 196 patents who had undergone both CCTA and invasive coronary angiography (ICA) within 6 months. Four readers with less cardiovascular experience (Reader 1 to Reader 4) and two cardiovascular radiologists (level II, Reader 5 and Reader 6) evaluated all images for ≥50% coronary artery stenosis, with ICA as the gold standard. Reader 3 and Reader 4 interpreted with aid from an AI system, and the other four readers interpreted without the AI system. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy (area under the receiver operating characteristic curve (AUC)) of six readers were calculated at the patient and vessel levels. Additionally, we evaluated interobserver consistency between Reader 1 and Reader 2, Reader 3 and Reader 4, and Reader 5 and Reader 6.Results: The AI system had 94% and 78% sensitivity at the patient and vessel levels, respectively, which were higher than Reader 5 and Reader 6. Reader 3 and Reader 4 aided by AI had a higher sensitivity (range: +7.2%~ +16.6% and +5.9%~ +16.1%, respectively) and NPV (range: +3.7%~ +13.4% and +2.7%~ +4.2%, respectively) than Reader 1 and Reader 2 without AI. There was good interobserver consistency between Reader 3 and Reader 4 in interpreting ≥50% stenosis (Kappa value= 0.75 and 0.80 at the patient and vessel levels, respectively). Only Reader 1 and Reader 2 had poor consistency (Kappa value= 0.25 and 0.37). Reader 5 and Reader 6 had moderate agreement (Kappa value= 0.55 and 0.61).Conclusions: Our study showed that using AI could effectively increase the sensitivity of inexperienced readers and significantly improve consistency in diagnosing coronary stenosis via CCTA.Trial registration: The clinical trial registration number: ChiCTR1900021867Name of registry: Diagnostic performance of artificial intelligence assisted coronary computed tomography angiography for the assessment of coronary atherosclerotic stenosis

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The value of S-Detect in improving the diagnostic performance of radiologists for the differential diagnosis of thyroid nodules

Medical Ultrasonography ◽

10.11152/mu-2501 ◽

2020 ◽

Vol 22 (4) ◽

pp. 415

Author(s):

Qi Wei ◽

Shu-E Zeng ◽

Li-Ping Wang ◽

Yu-Jing Yan ◽

Ting Wang ◽

...

Keyword(s):

Diagnostic Accuracy ◽

Predictive Value ◽

Diagnostic Performance ◽

Thyroid Nodules ◽

Characteristic Curve ◽

Diagnostic Value ◽

Ultrasound Images ◽

Experienced Radiologist ◽

Before And After ◽

Sensitivity Specificity

Aims: To compare the diagnostic value of S-Detect (a computer aided diagnosis system using deep learning) in differentiating thyroid nodules in radiologists with different experience and to assess if S-Detect can improve the diagnostic performance of radiologists.Materials and methods: Between February 2018 and October 2019, 204 thyroid nodules in 181 patients were included. An experienced radiologist performed ultrasound for thyroid nodules and obtained the result of S-Detect. Four radiologists with different experience on thyroid ultrasound (Radiologist 1, 2, 3, 4 with 1, 4, 9, 20 years, respectively) analyzed the conventional ultrasound images of each thyroid nodule and made a diagnosis of “benign” or “malignant” based on the TI-RADS category. After referring to S-Detect results, they re-evaluated the diagnoses. The diagnostic performance of radiologists was analyzed before and after referring to the results of S-Detect.Results: The accuracy, sensitivity, specificity, positive predictive value and negative predictive value of S-Detect were 77.0, 91.3, 65.2, 68.3 and 90.1%, respectively. In comparison with the less experienced radiologists (radiologist 1 and 2), S-Detect had a higher area under receiver operating characteristic curve (AUC), accuracy and specificity (p <0.05). In comparison with the most experienced radiologist, the diagnostic accuracy and AUC were lower (p<0.05). In the less experienced radiologists, the diagnostic accuracy, specificity and AUC were significantly improved when combined with S-Detect (p<0.05), but not for experienced radiologists (radiologist 3 and 4) (p>0.05).Conclusions: S-Detect may become an additional diagnostic method for the diagnosis of thyroid nodules and improve the diagnostic performance of less experienced radiologists.

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Diagnostic performance of D-dimer in predicting pulmonary embolism in tuberculous pleural effusion patients

BMC Pulmonary Medicine ◽

10.1186/s12890-021-01546-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xiaoming Li ◽

Yajing Qin ◽

Wenjing Ye ◽

Xi Chen ◽

Dezhi Sun ◽

...

Keyword(s):

Pulmonary Embolism ◽

Pleural Effusion ◽

Predictive Value ◽

Diagnostic Performance ◽

Characteristic Curve ◽

Pulmonary Angiography ◽

Potential Mechanism ◽

Tuberculous Pleural Effusion ◽

Sensitivity Specificity ◽

D Dimer

Abstract Background Tuberculous pleural effusion (TPE) patients usually have elevated D-dimer levels. The diagnostic performance of D-dimer in predicting pulmonary embolism (PE) in the TPE population is unclear. This study aimed to assess the diagnostic performance of D-dimer for PE in the TPE population and explore its potential mechanism. Methods We retrospectively analysed patients who were admitted to Xinhua Hospital and Weifang Respiratory Disease Hospital with confirmed TPE between March 2014 and January 2020. D-dimer levels were compared between patients with and without PE. To test the diagnostic performance of D-dimer in predicting PE, receiver operating characteristic curve analysis was performed. Positive predictive value (PPV) and negative predictive value (NPV) were also reported. To explore the potential mechanism of PE in TPE, inflammatory biomarkers were compared between PE and non-PE patients. Results This study included 248 patients (170 males and 78 females) aged 43 ± 20.6 years. Elevated D-dimer levels (≥ 0.5 mg/L) were detected in 186/248 (75%) patients. Of the 150 patients who underwent computed tomography pulmonary angiography, 29 were diagnosed with PE. Among the TPE population, the PE patients had significantly higher D-dimer levels than the non-PE patients (median, 1.06 mg/L vs. 0.84 mg/L, P < 0.05). The optimal cut-off value for D-dimer in predicting PE in TPE was 1.18 mg/L, with a sensitivity of 89.7% and a specificity of 77.8% (area under curve, 0.893; 95% confidence interval 0.839–0.947; P < 0.01). The PPV was 49.1%, while the NPV was 96.9% at a D-dimer cut-off of 1.18 mg/L for PE. PE patients had lower median WBC and interleukin (IL)-8 values (5.14 × 109/L vs. 6.1 × 109/L, P < 0.05; 30.2 pg/ml vs. 89.7 pg/ml, P < 0.05) but a higher median IL-2 receptor value (1964.8 pg/ml vs. 961.2 pg/ml, P < 0.01) than those in the non-PE patients. Conclusions D-dimer is an objective biomarker for predicting PE in patients with TPE. A D-dimer cut-off of 1.18 mg/L in the TPE population may reduce unnecessary radiological tests due to its excellent sensitivity, specificity, and NPV for PE. The imbalance of prothrombotic and antithrombotic cytokines may partly be attributed to the formation of pulmonary emboli in patients with TPE.

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A case-control clinical trial on the diagnostic performance for Alzheimer’s Disease of a deep learning-based classification system using brain magnetic resonance imaging

10.21203/rs.3.rs-754254/v1 ◽

2021 ◽

Author(s):

Jong Bin Bae ◽

Subin Lee ◽

Hyunwoo Oh ◽

Jinkyeong Sung ◽

Dongsoo Lee ◽

...

Keyword(s):

Predictive Value ◽

Diagnostic Performance ◽

Operating Characteristic ◽

Control Clinical Trial ◽

Characteristic Curve ◽

Brain Mri ◽

Case Control ◽

Operating Characteristic Curve ◽

Sensitivity Specificity ◽

Normal Controls

Abstract Objective To investigate diagnostic performance of a deep learning-based classification system using structural brain MRI (DLCS) for Alzheimer’s disease (AD). Methods A single-center, case-control clinical trial was conducted. T1-weighted brain MRI scans of 188 patients with mild cognitive impairment or dementia due to AD and 162 cognitively normal controls were retrospectively collected. The patients were amyloid beta (Aβ)-positive, whereas the controls were Aβ-negative, on 18F-florbetaben positron emission tomography. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve were calculated to evaluate the performance of DLCS in the classification of Aβ-positive AD patients from Aβ-negative controls. Results The DLCS was excellent in classifying AD patients from normal controls; sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve for AD were 85.6% (95%CI, 79.8–90), 90.1% (95%CI, 84.5–94.2), 91.0% (95%CI, 86.3–94.1), 84.4% (95%CI, 79.2–88.5), and 0.937 (95%CI, 0.911–0.963), respectively. Conclusion The DLCS shows promise in clinical settings where it may improve early detection of AD in any individual who has undergone an MRI scan regardless of purpose. Trial registration: Korean Clinical Trials Registry, KCT0004758. Registered 21 February 2020, https://cris.nih.go.kr/cris/search/detailSearch.do/17665.

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Transvaginal Ultrasonography and Saline Infusion Sonography Compared to Hysteroscopy for Diagnosis of Intracavity Lesion: A 4-Year Experience in Suburban Referral Hospital

Journal of the Medical Association of Thailand ◽

10.35755/jmedassocthai.2020.06.10240 ◽

2020 ◽

Vol 103 (6) ◽

pp. 585-593

Keyword(s):

Predictive Value ◽

Final Diagnosis ◽

Saline Infusion ◽

Transvaginal Ultrasonography ◽

Histopathological Diagnosis ◽

Endometrial Polyps ◽

Saline Infusion Sonography ◽

Submucous Myoma ◽

Kappa Value ◽

Sensitivity Specificity

Objective: To evaluate the accuracy of transvaginal ultrasonography (TVS) and saline infusion sonography (SIS) in use for the diagnosis of endometrial polyps and submucous myoma compared to hysteroscopy. Histopathology was considered as the gold standard for final diagnosis. Materials and Methods: The present retrospective study was conducted at Bhumibol Adulyadej Hospital, Bangkok, Thailand between January 2014 and December 2017. Medical records of 150 patients who attended for hysteroscopy and histopathological diagnosis were reviewed. The accuracy of TVS and SIS for the diagnosis of endometrial polyps and submucous myoma were determined. Results: Out of 150 enrolled cases, endometrial polyp was the most frequent hysteroscopic finding in participants of the present study (92/150). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of TVS, SIS, and hysteroscopy compared to pathologic reports for detection endometrial polyps were 71.7% versus 93.5% versus 97.8%, 38.5% versus 52.2% versus 68.2%, 80.5% versus 88.7% versus 92.8%, 27.8% versus 66.7% versus 88.2%, and 64.4% versus 85.2% versus 92.1%, respectively. The sensitivity, specificity, PPV, NPV, and accuracy of TVS, SIS, and hysteroscopy for detection of submucous myoma were 81.6% versus 92.1% versus 94.7%, 66.7% versus 86.9% versus 100%, 77.5% versus 92.1% versus 100%, 72.0% versus 86.9% versus 90.9%, and 75.4% versus 90.2% versus 96.6%, respectively. The kappa value from TVS, SIS, and hysteroscopy when the histopathologic reports were overall intrauterine abnormalities, endometrial polyps and submucous myoma were 0.45/0.43/0.72, 0.77/0.76/0.89, and 0.92/0.92/1.00, respectively. Conclusion: Sensitivity, specificity, PPV, NPV, accuracy, and kappa value of SIS for detecting endometrial polyps and submucous myoma were better than TVS. Keywords: Ultrasonography, Saline infusion sonography, Hysteroscopy, Accuracy

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Predictive Evaluation on Cytological Sample of Metastatic Melanoma: The Role of BRAF Immunocytochemistry in the Molecular Era

Diagnostics ◽

10.3390/diagnostics11061110 ◽

2021 ◽

Vol 11 (6) ◽

pp. 1110

Author(s):

Andrea Ronchi ◽

Marco Montella ◽

Federica Zito Marino ◽

Michele Caraglia ◽

Anna Grimaldi ◽

...

Keyword(s):

Metastatic Melanoma ◽

Molecular Analysis ◽

Predictive Value ◽

Diagnostic Performance ◽

Cost Effective ◽

Needle Aspiration ◽

Braf V600e ◽

Mutational Status ◽

Needle Aspiration Cytology ◽

Sensitivity Specificity

Background: Cutaneous malignant melanoma is an aggressive neoplasm. In advanced cases, the therapeutic choice depends on the mutational status of BRAF. Fine needle aspiration cytology (FNA) is often applied to the management of patients affected by melanoma, mainly for the diagnosis of metastases. The evaluation of BRAF mutational status by sequencing technique on cytological samples may be inconvenient, as it is a time and biomaterial-consuming technique. Recently, BRAF immunocytochemistry (ICC) was applied for the evaluation of BRAF V600E mutational status. Although it may be useful mainly in cytological samples, data about BRAF ICC on cytological samples are missing. Methods: We performed BRAF ICC on a series of 50 FNA samples of metastatic melanoma. BRAF molecular analysis was performed on the same cytological samples or on the corresponding histological samples. Molecular analysis was considered the gold standard. Results: BRAF ICC results were adequate in 49 out of 50 (98%) cases, positive in 15 out of 50 (30%) cases and negative in 34 out of 50 (68%) of cases. Overall, BRAF ICC sensitivity, specificity, positive predictive value and negative predictive value results were 88.2%, 100%, 100% and 94.1%, respectively. The diagnostic performance of BRAF ICC results was perfect when molecular evaluation was performed on the same cytological samples. Hyperpigmentation represents the main limitation of the technique. Conclusions: BRAF ICC is a rapid, cost-effective method for detecting BRAF V600E mutation in melanoma metastases, applicable with high diagnostic performance to cytological samples. It could represent the first step to evaluate BRAF mutational status in cytological samples, mainly in poorly cellular cases.

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Predicting 1p/19q codeletion status using diffusion-, susceptibility-, perfusion-weighted, and conventional MRI in IDH-mutant lower-grade gliomas

Acta Radiologica ◽

10.1177/0284185120973624 ◽

2020 ◽

pp. 028418512097362

Author(s):

Xiefeng Yang ◽

Yu Lin ◽

Zhen Xing ◽

Dejun She ◽

Yan Su ◽

...

Keyword(s):

Predictive Value ◽

Operating Characteristic ◽

Cerebral Blood Volume ◽

Characteristic Curve ◽

Lower Grade ◽

Dynamic Susceptibility ◽

Dynamic Susceptibility Contrast ◽

Conventional Mri ◽

Susceptibility Contrast ◽

Sensitivity Specificity

Background Isocitrate dehydrogenase (IDH)-mutant lower-grade gliomas (LGGs) are further classified into two classes: with and without 1p/19q codeletion. IDH-mutant and 1p/19q codeleted LGGs have better prognosis compared with IDH-mutant and 1p/19q non-codeleted LGGs. Purpose To evaluate conventional magnetic resonance imaging (cMRI), diffusion-weighted imaging (DWI), susceptibility-weighted imaging (SWI), and dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) for predicting 1p/19q codeletion status of IDH-mutant LGGs. Material and Methods We retrospectively reviewed cMRI, DWI, SWI, and DSC-PWI in 142 cases of IDH mutant LGGs with known 1p/19q codeletion status. Features of cMRI, relative ADC (rADC), intratumoral susceptibility signals (ITSSs), and the value of relative cerebral blood volume (rCBV) were compared between IDH-mutant LGGs with and without 1p/19q codeletion. Receiver operating characteristic curve and logistic regression were used to determine diagnostic performances. Results IDH-mutant and 1p/19q non-codeleted LGGs tended to present with the T2/FLAIR mismatch sign and distinct borders ( P < 0.001 and P = 0.038, respectively). Parameters of rADC, ITSSs, and rCBVmax were significantly different between the 1p/19q codeleted and 1p/19q non-codeleted groups ( P < 0.001, P = 0.017, and P < 0.001, respectively). A combination of cMRI, SWI, DWI, and DSC-PWI for predicting 1p/19q codeletion status in IDH-mutant LGGs resulted in a sensitivity, specificity, positive predictive value, negative predictive value, and an AUC of 80.36%, 78.57%, 83.30%, 75.00%, and 0.88, respectively. Conclusion 1p/19q codeletion status of IDH-mutant LGGs can be stratified using cMRI and advanced MRI techniques, including DWI, SWI, and DSC-PWI. A combination of cMRI, rADC, ITSSs, and rCBVmax may improve the diagnostic performance for predicting 1p/19q codeletion status.

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Utility of Thrombin Time in Management of Patients with Green Pit Vipers Bite

SAGE Open Medicine ◽

10.1177/2050312120966468 ◽

2020 ◽

Vol 8 ◽

pp. 205031212096646

Author(s):

Achara Tongpoo ◽

Pimjai Niparuck ◽

Charuwan Sriapha ◽

Winai Wananukul ◽

Satariya Trakulsrichai

Keyword(s):

Positive Predictive Value ◽

Predictive Value ◽

Operating Characteristic ◽

Fibrinogen Level ◽

Characteristic Curve ◽

International Normalized Ratio ◽

Thrombin Time ◽

Coagulation Tests ◽

Sensitivity Specificity ◽

Gold Standards

Objectives: GGreen pit vipers (GPV) envenomation causes consumptive coagulopathy mainly by thrombin-like enzymes. Fibrinogen levels are generally investigated to help evaluate systemic envenomation. However, tests of fibrinogen levels may not be available in every hospital. This study aimed to determine the sensitivity, specificity and accuracy for a range of various coagulation tests (20 minute whole blood clotting test (20WBCT), prothrombin time, international normalized ratio and thrombin time (TT)), comparing to the two gold standards performed in patients with GPV bite. Methods: This was the pilot study which we retrospectively reviewed fibrinogen level results including the hospital records of 24 GPV ( Trimeresurus albolabris or macrops) bite patients visiting Ramathibodi Hospital, Thailand during 2013–2017 with 65 results of fibrinogen levels. The fibrinogen levels <164 and <100 mg/dL were used as the standard cut-off points or gold standards as the abnormal low and critical levels, respectively. Results: Most were male. All had local effects. For fibrinogen levels <164 and <100 mg/dL, prolonged TT had the highest sensitivity of 57.1% and 82.4%; the negative predictive value of 74.5% and 93.6%; the accuracy of 81.0% and 92.1%; and the area under a receiver operating characteristic curve of 0.762 and 0.873, respectively. For fibrinogen levels <164, unclotted 20WBCT and prolonged TT had the highest specificity and positive predictive value of 100% all. For fibrinogen levels <100, unclotted 20WBCT had the highest specificity and positive predictive value of 100% both, while prolonged TT had the specificity and positive predictive value of 95.7% and 87.5%, respectively. One patient developed isolated thrombocytopenia without hypofibrinogenemia and coagulopathy. Conclusions: Among four coagulation tests, TT was the most sensitive and accurate test to indicate hypofibrinogenemia in GPV bite patients. In case of unavailable fibrinogen levels thrombin time might be investigated to help evaluate patients’ fibrinogen status. Isolated thrombocytopenia could occur in GPV envenomation.

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Accuracy of computational pressure-fluid dynamics applied to coronary angiography to derive fractional flow reserve: FLASH FFR

Cardiovascular Research ◽

10.1093/cvr/cvz289 ◽

2019 ◽

Vol 116 (7) ◽

pp. 1349-1356 ◽

Cited By ~ 5

Author(s):

Jianping Li ◽

Yanjun Gong ◽

Weimin Wang ◽

Qing Yang ◽

Bin Liu ◽

...

Keyword(s):

Fluid Dynamics ◽

Coronary Artery ◽

Coronary Angiography ◽

Fractional Flow Reserve ◽

Predictive Value ◽

Diagnostic Performance ◽

Characteristic Curve ◽

Fractional Flow ◽

Performance Goal ◽

Flow Reserve

Abstract Aims Conventional fractional flow reserve (FFR) is measured invasively using a coronary guidewire equipped with a pressure sensor. A non-invasive derived FFR would eliminate risk of coronary injury, minimize technical limitations, and potentially increase adoption. We aimed to evaluate the diagnostic performance of a computational pressure-flow dynamics derived FFR (caFFR), applied to coronary angiography, compared to invasive FFR. Methods and results The FLASH FFR study was a prospective, multicentre, single-arm study conducted at six centres in China. Eligible patients had native coronary artery target lesions with visually estimated diameter stenosis of 30–90% and diagnosis of stable or unstable angina pectoris. Using computational pressure-fluid dynamics, in conjunction with thrombolysis in myocardial infarction (TIMI) frame count, applied to coronary angiography, caFFR was measured online in real-time and compared blind to conventional invasive FFR by an independent core laboratory. The primary endpoint was the agreement between caFFR and FFR, with a pre-specified performance goal of 84%. Between June and December 2018, matched caFFR and FFR measurements were performed in 328 coronary arteries. Total operational time for caFFR was 4.54 ± 1.48 min. caFFR was highly correlated to FFR (R = 0.89, P = 0.76) with a mean bias of −0.002 ± 0.049 (95% limits of agreement −0.098 to 0.093). The diagnostic performance of caFFR vs. FFR was diagnostic accuracy 95.7%, sensitivity 90.4%, specificity 98.6%, positive predictive value 97.2%, negative predictive value 95.0%, and area under the receiver operating characteristic curve of 0.979. Conclusions Using wire-based FFR as the reference, caFFR has high accuracy, sensitivity, and specificity. caFFR could eliminate the need of a pressure wire, technical error and potentially increase adoption of physiological assessment of coronary artery stenosis severity. Clinical Trial Registration URL: http://www.chictr.org.cn Unique Identifier: ChiCTR1800019522.

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Prognostic accuracy of qSOFA in predicting 28-day mortality among infected patients in an emergency department: a prospective validation study

Emergency Medicine Journal ◽

10.1136/emermed-2019-208456 ◽

2019 ◽

pp. emermed-2019-208456

Author(s):

S M Osama Bin Abdullah ◽

Rune Husås Sørensen ◽

Ram Benny Christian Dessau ◽

Saifullah Muhammed Rafid Us Sattar ◽

Lothar Wiese ◽

...

Keyword(s):

Emergency Department ◽

Predictive Value ◽

Characteristic Curve ◽

Likelihood Ratios ◽

Registration System ◽

Civil Registration ◽

Prognostic Accuracy ◽

Observational Cohort ◽

Sensitivity Specificity ◽

Sirs Criteria

BackgroundFew prospective studies have evaluated the quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA) criteria in emergency department (ED)settings. The aim of this study was to determine the prognostic accuracy of qSOFA compared with systemic inflammatory response syndrome (SIRS) in predicting the 28-day mortality of infected patients admitted to an ED.MethodsA prospective observational cohort study of all adult (≥18 years) infected patients admitted to the ED of Slagelse Hospital, Denmark, was conducted from 1 October 2017 to 31 March 2018. Patients were enrolled consecutively and data related to SIRS and qSOFA criteria were obtained from electronic triage record. Information regarding mortality was obtained from the Danish Civil Registration System. The original cut-off values of ≥2 was used to determine the prognostic accuracy of SIRS and qSOFA criteria for predicting 28-day mortality and was assessed by analyses of sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratios and area under the receiver operating characteristic curve (AUROC) with 95% confidence intervals (CI).ResultsA total of 2112 patients were included in this study. A total of 175 (8.3%) patients met at least two qSOFA criteria, while 1012 (47.9%) met at least two SIRS criteria on admission. A qSOFA criteria of at least two for predicting 28-day mortality had a sensitivity of 19.5% (95% CI 13.6% to 26.5%) and a specificity of 92.6% (95% CI 91.4% to 93.7%). A SIRS criteria of at least two for predicting 28-day mortality had a sensitivity of 52.8% (95% CI 44.8% to 60.8%) and a specificity of 52.5% (95% CI 50.2% to 54.7%). The AUROC values for qSOFA and SIRS were 0.63 (95% CI 0.59 to 0.67) and 0.52 (95% CI 0.48 to 0.57), respectively.ConclusionBoth SIRS and qSOFA had poor sensitivity for 28-day mortality. qSOFA improved the specificity at the expense of the sensitivity resulting in slightly higher prognostic accuracy overall.

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Diagnostic Performance of Nanoparticle-Enhanced Magnetic Resonance Imaging in the Diagnosis of Lymph Node Metastases in Patients With Endometrial and Cervical Cancer

Journal of Clinical Oncology ◽

10.1200/jco.2005.07.166 ◽

2005 ◽

Vol 23 (12) ◽

pp. 2813-2821 ◽

Cited By ~ 259

Author(s):

Andrea G. Rockall ◽

Syed A. Sohaib ◽

Mukesh G. Harisinghani ◽

Syed A. Babar ◽

Naveena Singh ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Lymph Node ◽

Magnetic Resonance ◽

Lymph Node Metastases ◽

Predictive Value ◽

Diagnostic Performance ◽

Resonance Imaging ◽

Lymph Node Sampling ◽

Node Metastases ◽

Sensitivity Specificity

Purpose Lymph node metastases affect management and prognosis of patients with gynecologic malignancies. Preoperative nodal assessment with computed tomography or magnetic resonance imaging (MRI) is inaccurate. A new lymph node–specific contrast agent, ferumoxtran-10, composed of ultrasmall particles of iron oxide (USPIO), may enhance the detection of lymph node metastases independent of node size. Our aim was to compare the diagnostic performance of MRI with USPIO against standard size criteria. Methods Forty-four patients with endometrial (n = 15) or cervical (n = 29) cancer were included. MRI was performed before and after administration of USPIO. Two independent observers viewed the MR images before lymph node sampling. Lymph node metastases were predicted using size criteria and USPIO criteria. Lymph node sampling was performed in all patients. Results Lymph node sampling provided 768 pelvic or para-aortic nodes for pathology, of which 335 were correlated on MRI; 17 malignant nodes were found in 11 of 44 patients (25%). On a node-by-node basis, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) by size criteria were 29%*, 99%, 56%, and 96%, and by USPIO criteria (reader 1/reader 2) were 93%/82%* (*P = .008/.004), 97%/97%, 61%/59%, and 100%/99%, respectively (where [*] indicates the statistical difference of P = x/x between the two results marked by the asterisk). On a patient-by-patient basis, sensitivity, specificity, PPV, and NPV by size criteria were 27%*, 94%, 60%, and 79%, and by USPIO criteria (reader 1/reader 2) were 100%/91%* (*P = .031/.06), 94%/87%, 82%/71%, and 100%/96%, respectively. The κ statistic was 0.93. Conclusion Lymph node characterization with USPIO increases the sensitivity of MRI in the prediction of lymph node metastases, with no loss of specificity. This may greatly improve preoperative treatment planning.

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