Reproducibility of Grading in Chronic Intervillositis of Unknown Etiology

2019 ◽  
Vol 23 (3) ◽  
pp. 210-214
Author(s):  
Deidre Ongaro ◽  
Jefferson Terry

Chronic intervillositis of unknown etiology (CIUE) is a rare placental inflammatory process associated with pregnancy loss and recurrence. We conducted a quality assurance study to assess the diagnostic accuracy and reproducibility of CIUE grading at our institution. Hematoxylin and eosin-stained slides from 20 CIUE cases (31 slides) were reviewed by 7 perinatal pathologists in 2 sequential rounds. Reviewers were instructed to use the diagnostic criteria they were presently following for CIUE and to grade each slide according to the Rota scheme. In the first round, 20 slides were assessed. The diagnostic accuracy was 94%, the average percent agreement of Rota grade was 79%, and the Fleiss’ kappa value for interobserver variability was 0.54. The results were reviewed by all pathologists with diagnostic and grading criteria agreed upon prior to the second round. In round 2, the remaining 11 slides were assessed. Diagnostic accuracy was 83%, the average percent agreement on Rota grade was 70%, and the Fleiss’ kappa value for interobserver variability was 0.36. Overall, diagnostic accuracy was high and agreement on Rota grade was moderate. Group review did not appear to improve accuracy. Simplifying CIUE grading to a low-grade/high-grade scheme (<50% or ≥50%) might improve grading reproducibility.

2006 ◽  
Vol 45 (01) ◽  
pp. 49-56 ◽  
Author(s):  
N. Özdemir-Sahin ◽  
P. Hipp ◽  
W. Mier ◽  
M. Eisenhut ◽  
J. Debus ◽  
...  

Summary Aim was to evaluates the diagnostic accuracy of the SPECTtracers 3-123I-α-methyl-L-tyrosine (IMT) and 99mTc(I)- hexakis(2-methoxyisobutylisonitrile) (MIBI) as well as the PET-tracer 2-18F-2-deoxyglucose (FDG) for detecting tumour progression in irradiated low grade astrocytomas (LGA). Patients, methods: We examined 91 patients (56 males; 35 females; 44.7 ± 11.5 years), initially suffering from histologically proven LGAs (mean WHO grade II) and treated by stereotactic radiotherapy (59.0 ± 4.6 Gy). On average 21.9 ± 11.2 months after radiotherapy, patients presented new Gd-DTPA enhancing lesions on MRI, which did not allow a differentiation between progressive tumour (PT) and non-PT (nPT) at this point of time. PET scans (n=82) were acquired 45 min after injection of 208 ± 32 MBq FDG. SPECT scans started 10 min after injection of 269 ± 73 MBq IMT (n=68) and 15 min after injection of 706 ± 63 MBq MIBI (n=34). Lesions were classified as PT and nPT based on prospective follow-up (clinically, MRI) for 17.2 ± 9.9 months after PET/SPECT. Lesion-to-normal ratios (L/N) were calculated using contra lateraly mirrored reference regions for the SPECT examinations and reference regions in the contra lateral grey (GM) and white matter (WM) for FDG PET. Ratios were evaluated by Receiver Operating Characteristic (ROC) analysis. Results: In the patient groups nPT and PT, L/N ratios for FDG (GS) were 0.6 ± 0.3 vs. 1.2 ± 0.5 (p = 0.003), for FDG (WS) 1.2 ± 0.4 vs. 2.6 ± 0.4 (p <0.001), for IMT 1.1 ± 0.1 vs. 1.8 ± 0.4 (p <0.001) and for MIBI 1.6 ± 0.7 vs. 2.6 ± 2.2 (p = 0.554). Areas under the non-parametric ROC-curves were: 0.738 ± 0.059 for FDG (GS), 0.790 ± 0.057 for FDG (WS), 0.937 ± 0.037 for IMT and 0.564 ± 0.105 for MIBI. Conclusion: MIBI-SPECT examinations resulted in a low accuracy and especially in a poor sensitivity even at modest specificity values. A satisfying diagnostic accuracy was reached with FDG PET. Using WM as reference region for FDG PET, a slightly higher AUC as compared to GM was calculated. IMT yielded the best ROC characteristics and the highest diagnostic accuracy for differentiating between PT and nPT in irradiated LGA.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bei Zhang ◽  
Shuhui Hong ◽  
Guihui Zhang ◽  
Fengnian Rong

Abstract Background Colposcopy offers an accurate way to the diagnose of cervical precancerous lesions. However, the diagnostic accuracy of colposcopy is unsatisfied. This study was to evaluate colposcopic accuracy according to the 2011 International Federation of Cervical Pathology and Colposcopy (IFCPC) terminology. Methods A retrospective cohort study was performed in 1,838 patients who underwent colposcopy in Shandong Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University from October 2013 to April 2018. Using conization or cervical biopsy pathology as the gold standard, the agreement between colposcopic diagnosis and pathologic diagnosis was calculated, and correlations between variables were analyzed. Results As an authoritative and widely used terminology for colposcopy diagnosis, the 2011 IFCPC terminology has certain clinical practicality and diagnostic accuracy. However, some signs such as mosaic, punctation, sharp border, inner border sign and ridge sign had high specificity but unsatisfactory sensitivity, which limited the diagnostic value. Therefore, we discussed the Lugol’s staining, a very common sign in colposcopy, and analyzed the diagnostic significance of bright yellow staining in low-grade squamous intraepithelial lesion (LSIL) and mustard yellow staining in high-grade squamous intraepithelial lesion (HSIL). The results showed that mustard yellow may be a valuable indicator in the diagnosis of HSIL. Conclusion The 2011 IFCPC colposcope terminology has standardized interpretations of the colposcopic findings and improved the accuracy of colposcopy diagnosis. The aceto-white epithelium still has important diagnostic value; however, the value of a few signs is needed to be discussed and new signs are expected to be discovered. Although the significance of Lugol’s staining was diminishing, mustard yellow might be a valuable indicator for the diagnosis of HSIL.


2021 ◽  
pp. 1-8
Author(s):  
Haimei Cao ◽  
Xiang Xiao ◽  
Jun Hua ◽  
Guanglong Huang ◽  
Wenle He ◽  
...  

Objectives: The present study aimed to study whether combined inflow-based vascular-space-occupancy (iVASO) MR imaging (MRI) and diffusion-weighted imaging (DWI) improve the diagnostic accuracy in the preoperative grading of gliomas. Methods: Fifty-one patients with histopathologically confirmed diffuse gliomas underwent preoperative structural MRI, iVASO, and DWI. We performed 2 qualitative consensus reviews: (1) structural MR images alone and (2) structural MR images with iVASO and DWI. Relative arteriolar cerebral blood volume (rCBVa) and minimum apparent diffusion coefficient (mADC) were compared between low-grade and high-grade gliomas. Receiver operating characteristic (ROC) curve analysis was performed to compare the tumor grading efficiency of rCBVa, mADC, and the combination of the two parameters. Results: Two observers diagnosed accurate tumor grade in 40 of 51 (78.4%) patients in the first review and in 46 of 51 (90.2%) in the second review. Both rCBVa and mADC showed significant differences between low-grade and high-grade gliomas. ROC analysis gave a threshold value of 1.52 for rCBVa and 0.85 × 10−3 mm2/s for mADC to provide a sensitivity and specificity of 88.0 and 81.2% and 100.0 and 68.7%, respectively. The area under the ROC curve (AUC) was 0.87 and 0.85 for rCBVa and mADC, respectively. The combination of rCBVa and mADC values increased the AUC to 0.92. Conclusion: The combined application of iVASO and DWI may improve the diagnostic accuracy of glioma grading.


2021 ◽  
Vol 22 (13) ◽  
pp. 6763
Author(s):  
Thijs W. de Vos ◽  
Dian Winkelhorst ◽  
Hans J. Baelde ◽  
Kyra L. Dijkstra ◽  
Rianne D. M. van Bergen ◽  
...  

Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a disease that causes thrombocytopenia and a risk of bleeding in the (unborn) child that result from maternal alloantibodies directed against fetal, paternally inherited, human platelet antigens (HPA). It is hypothesized that these alloantibodies can also bind to the placenta, causing placental damage. This study aims to explore signs of antibody-mediated placental damage in FNAIT. We performed a retrospective study that included pregnant women, their newborns, and placentas. It comprised 23 FNAIT cases, of which nine were newly diagnosed (14 samples) and 14 were antenatally treated with intravenous immune globulins (IVIg) (21 samples), and 20 controls, of which 10 had anti-HLA-class I antibodies. Clinical information was collected from medical records. Placental samples were stained for complement activation markers (C1q, C4d, SC5b-9, and mannose-binding lectin) using immunohistochemistry. Histopathology was examined according to the Amsterdam criteria. A higher degree of C4d deposition was present in the newly diagnosed FNAIT cases (10/14 samples), as compared to the IVIg-treated FNAIT cases (2/21 samples, p = 0.002) and anti-HLA-negative controls (3/20 samples, p = 0.006). A histopathological examination showed delayed maturation in four (44%) placentas in the newly diagnosed FNAIT cases, five (36%) in the IVIg-treated FNAIT cases, and one in the controls (NS). C4d deposition at the syncytiotrophoblast was present in combination with low-grade villitis of unknown etiology in three newly diagnosed FNAIT cases that were born SGA. We conclude that a higher degree of classical pathway-induced complement activation is present in placentas from pregnancies with untreated FNAIT. This may affect placental function and fetal growth.


2009 ◽  
Vol 48 (04) ◽  
pp. 173-178 ◽  
Author(s):  
H. Ham ◽  
A. Dobbeleir ◽  
P. Santens ◽  
Y. D'Asseler ◽  
I. Goethals

SummaryThe aim of our study was to evaluate the value of a pictorial atlas of 123I FP-CIT SPECT images for aid in the visual diagnosis. Patients, materials, methods: Sixty patients, of whom 20 were clinically diagnosed as ‘non-parkinsonian’ and 40 as having Parkinson's disease or any related disorder, were included in the study. An atlas consisting of 12 123I FP-CIT SPECT images was constructed first. Validity of the atlas was investigated by performing a receiver operating characteristic (ROC) analysis with the clinical diagnosis as the gold standard. The remaining 48 SPECT images were visually assessed twice by 5 observers, first with and secondly without consulting the atlas, or vice versa. The added value of the atlas was investigated by comparing the diagnostic accuracy and the interobserver variability for both methods. Results: ROC analysis performed on the atlas yielded an area under the curve of 1 for a threshold discriminating between clinically non-parkinsonian and parkinsonian patients that was situated between image 4 and 5 of the atlas. For the diagnostic accuracy, we found that the area under the ROC curve was systematically higher if observers had access to the atlas compared to when they had not (Wilcoxon's test, p<0.05). Also, the interobserver variability was significantly lower when observers used the atlas when compared to when they did not (p = 0.05). Conclusion: Diagnostic accuracy was significantly higher and interobserver variability significantly lower if observers had access to the atlas compared to when they had not. Hence, having a pictorial atlas available may facilitate the visual assessment of 123I FP-CIT SPECT scans.


2020 ◽  
Author(s):  
Xinyue Ge ◽  
Zhong-Kai Lan ◽  
Jing Chen ◽  
Shang-Yong Zhu

Aim: The study retrospectively analysed the accuracy of preoperative contrast-enhanced ultrasound (CEUS) in differenti-ating stage Ta-T1 or low-grade bladder cancer (BC) from stage T2 or high-grade bladder cancer. Material and methods: We systematically searched the literature indexed in PubMed, Embase, and the Cochrane Library for original diagnostic articles of bladder cancer. The diagnostic accuracy of CEUS was compared with cystoscopy and/or transurethral resection of bladder tumors (TURBT). The bivariate logistic regression model was used for data pooling, couple forest plot, diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC). Results: Five studies met the selection criteria; the overall number of reported bladder cancers patients were 436. The pooled-sensitivity (P-SEN), pooled-specificity (P-SPE), pooled-positive likelihood ratio (PLR+), pooled-negative likelihood ratio (PLR−), DOR, and area under the SROC curve were 94.0% (95%CI: 85%–98%), 90% (95%CI: 83%–95%), 9.5 (95%CI: 5.1–17.6), 0.06 (95%CI: 0.02–0.17), 147 (95%CI: 35–612) and 97% (95% CI: 95%–98%) respectively. Conclusion: CEUS reaches a high efficiency in discriminating Ta-T1 or low-grade bladder cancer from stage T2 or high-grade bladder cancer. It can be a promising method in patients to distinguish T staging and grading of bladder cancer because of its high sensitivity, specificity and diagnostic accuracy.


2021 ◽  
Vol 11 ◽  
Author(s):  
Dehua Tang ◽  
Jie Zhou ◽  
Lei Wang ◽  
Muhan Ni ◽  
Min Chen ◽  
...  

Background and AimsPrediction of intramucosal gastric cancer (GC) is a big challenge. It is not clear whether artificial intelligence could assist endoscopists in the diagnosis.MethodsA deep convolutional neural networks (DCNN) model was developed via retrospectively collected 3407 endoscopic images from 666 gastric cancer patients from two Endoscopy Centers (training dataset). The DCNN model’s performance was tested with 228 images from 62 independent patients (testing dataset). The endoscopists evaluated the image and video testing dataset with or without the DCNN model’s assistance, respectively. Endoscopists’ diagnostic performance was compared with or without the DCNN model’s assistance and investigated the effects of assistance using correlations and linear regression analyses.ResultsThe DCNN model discriminated intramucosal GC from advanced GC with an AUC of 0.942 (95% CI, 0.915–0.970), a sensitivity of 90.5% (95% CI, 84.1%–95.4%), and a specificity of 85.3% (95% CI, 77.1%–90.9%) in the testing dataset. The diagnostic performance of novice endoscopists was comparable to those of expert endoscopists with the DCNN model’s assistance (accuracy: 84.6% vs. 85.5%, sensitivity: 85.7% vs. 87.4%, specificity: 83.3% vs. 83.0%). The mean pairwise kappa value of endoscopists was increased significantly with the DCNN model’s assistance (0.430–0.629 vs. 0.660–0.861). The diagnostic duration reduced considerably with the assistance of the DCNN model from 4.35s to 3.01s. The correlation between the perseverance of effort and diagnostic accuracy of endoscopists was diminished using the DCNN model (r: 0.470 vs. 0.076).ConclusionsAn AI-assisted system was established and found useful for novice endoscopists to achieve comparable diagnostic performance with experts.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Nicole Nourié ◽  
Hussein Nassereddine ◽  
Micheline Mia Kotait ◽  
Sarah Mouawad ◽  
Hiba Azar

Abstract Background and Aims 2, 8 dihydroxyadenine (DHA) deposition is a less known etiology of crystal-induced nephropathy, caused by a deficiency in a purine salvage enzyme, the adenine phosphoribosyl transferase (APRT). DHA is an insoluble molecule in urine leading to crystal formation, tubular obstruction or stone formation. The disease manifests as a history of urolithiasis, chronic kidney disease and even loss of renal allograft when the disease is undiagnosed in native kidneys. The cornerstone of treatment is the inhibition of xanthine dehydrogenase reducing thus the formation of 2,8-DHA and its renal excretion. Method A 59-year-old obese Lebanese male patient, born to a consanguineously married couple, was admitted to another hospital with desaturation, a history of progressive shortness of breath and a creatinine level of 2,8 mg/dl. He had no hypertension nor diabetes. His family history was positive for a sister with ESRD of unknown etiology. He was discharged on oxygen and continuous airway positive pressure therapy for severe obstructive sleep apnea. His renal function deteriorated leading to a creatinine level of 9.8 mg/dl three months later. There were no signs of systemic disease, no gross hematuria, no fluid overload. His blood pressure was normal. Laboratory work up showed anemia, low grade proteinuria, intermittent microscopic hematuria and negative serological and immunological workup. Kidney ultrasound showed normal size kidneys with no evidence of collecting system dilatation or urolithiasis. Due to this atypical presentation, the patient was admitted for a renal biopsy with a creatinine level of 11 mg/dl upon admission. Results The renal biopsy showed tubulo-interstitial nephritis associated with numerous brown-green crystals by Haematoxylin and eosin of various shapes birefringent under polarized light with the characteristic “maltese cross”. Crystals were found within tubular lumens and cytoplasm, interstitium, and macrophages. These findings were characteristic of 2,8 DHA crystals deposition in the kidney. The patient was started on 120 mg of Febuxostat with a low purine and high fluid diet. A genetic testing showed a pathogenic homozygous variant in the APRT gene which causes an amino acid change from Glycine to Aspartate at position 63. Two weeks later the patient was admitted to the ICU with pneumonia, respiratory failure, a creatinine of 9 mg/dl and severe metabolic encephalopathy. He received 4 sessions of hemodialysis followed by an improvement in his kidney function with a creatinine level down to 3.2 mg/dl a month after his discharge and he remains off dialysis until now. Conclusion Around 400 cases are currently recognized worldwide, emphasizing the under recognition of this autosomal recessive disease. Considering that the homozygoty causing a complete APRT deficiency should range between 1/50 000 and 1/100 000 cases, this would translate in at least 80 000 cases worldwide. The variant found in our patient has previously been described as disease causing for APRT deficiency in four cases. Reviewing the phenotype of these cases we find differences in terms of presentation and evolution, highlighting the variability in the APRT deficiency phenotype and underlining the fact that no correlation between phenotype and genotype was reported to date even for the same type of mutation. This case report shows us that the initiation of an adequate therapy is necessary even at advanced stages of the disease since it can improve our kidney outcome.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Curtis K. Sohn ◽  
Sotirios Bisdas

Purpose. This study aimed to estimate the diagnostic accuracy of machine learning- (ML-) based radiomics in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG) and to identify potential covariates that could affect the diagnostic accuracy of ML-based radiomic analysis in classifying gliomas. Method. A primary literature search of the PubMed database was conducted to find all related literatures in English between January 1, 2009, and May 1, 2020, with combining synonyms for “machine learning,” “glioma,” and “radiomics.” Five retrospective designed original articles including LGG and HGG subjects were chosen. Pooled sensitivity, specificity, their 95% confidence interval, area under curve (AUC), and hierarchical summary receiver-operating characteristic (HSROC) models were obtained. Result. The pooled sensitivity when diagnosing HGG was higher (96% (95% CI: 0.93, 0.98)) than the specificity when diagnosing LGG (90% (95% CI 0.85, 0.93)). Heterogeneity was observed in both sensitivity and specificity. Metaregression confirmed the heterogeneity in sample sizes ( p = 0.05 ), imaging sequence types ( p = 0.02 ), and data sources ( p = 0.01 ), but not for the inclusion of the testing set ( p = 0.19 ), feature extraction number ( p = 0.36 ), and selection of feature number ( p = 0.18 ). The results of subgroup analysis indicate that sample sizes of more than 100 and feature selection numbers less than the total sample size positively affected the diagnostic performance in differentiating HGG from LGG. Conclusion. This study demonstrates the excellent diagnostic performance of ML-based radiomics in differentiating HGG from LGG.


2019 ◽  
Vol 153 (3) ◽  
pp. 360-367 ◽  
Author(s):  
Sarah A Alghamdi ◽  
Kritika Krishnamurthy ◽  
Sofia A Garces Narvaez ◽  
Khaled J Algashaamy ◽  
Jessica Aoun ◽  
...  

Abstract Objectives We aimed to determine the interobserver reproducibility in diagnosing low-grade ductal carcinoma in situ (DCIS). We also aimed to compare the interobserver variability using a proposed two-tiered grading system as opposed to the current three-tiered system. Methods Three expert breast pathologists and one junior pathologist identified low-grade DCIS from a set of 300 DCIS slides. Months later, participants were asked to grade the 300 cases using the standard three-tiered system. Results Using the two-tiered system, interobserver agreement among breast pathologists was considered moderate (κ = 0.575). The agreement was similar (κ = 0.532) with the junior pathologist included. Using the three-tiered system, pathologists’ agreement was poor (κ = 0.235). Conclusions Pathologists’ reproducibility on diagnosing low-grade DCIS showed moderate agreement. Experience does not seem to influence reproducibility. Our proposed two-tiered system of low vs nonlow grade, where the intermediate grade is grouped in the nonlow category has shown improved concordance.


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