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1.
Article in English | MEDLINE | ID: mdl-38997123

ABSTRACT

BACKGROUND AND PURPOSE: Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion classify adult-type diffuse gliomas into three tumor subtypes with distinct prognosis. We aimed to evaluate the performance of edited magnetic resonance spectroscopy (MRS) for glioma subtyping in a clinical setting, via the quantification of D-2-hydroxyglutarate (2HG) and cystathionine. The delay between this noninvasive classification and the integrated histomolecular analysis was also quantified. MATERIALS AND METHODS: Subjects with presumed low-grade glioma, eligible for surgery (cohort 1), and subjects with IDH-mutant glioma, previously treated and with progressive disease (cohort 2) were prospectively examined with a singlevoxel Mescher-Garwood point-resolved spectroscopy sequence at 3 T. Spectra were quantified using LCModel. The Cramér-Rao lower bounds (CRLB) threshold was set to 20%. Integrated histomolecular analysis according to the 2021 WHO classification was considered as a ground truth. RESULTS: Thirty-four consecutive subjects were enrolled. Due to poor spectra quality and lack of histological specimen, data from 26 subjects was analyzed. Twenty-one belonged to cohort 1 [11 females; median age: 42 years] and 5 to cohort 2 [3 females; median age: 48 years]. Edited MRS showed 100% specificity for detection of IDH mutation and 91% specificity for prediction of 1p/19q codeletion status. Sensitivities for prediction of IDH and 1p/19q codeletion were 62% and 33%, respectively. The median CRLB values were 14% (13 - 32) for IDH-mutant and 572% (554 - 999) for IDH-wild-type tumors. The time between MRS and surgery was longer for low-grade than high-grade gliomas (p = .03), yet the time between MRS and WHO diagnosis did not differ between grades (p = .07), possibly reflecting molecular analyses induced delays in high-grade gliomas. CONCLUSIONS: Our results, acquired in a clinic setting, confirmed that edited MRS is highly specific for both IDH mutation and 1p/19q codeletion predictions and can provide a faster prognosis stratification. In the upcoming IDH-inhibitor treatment era, incorporation of edited MRS into clinical workflow is desirable. ABBREVIATIONS: 2HG = D-2-hydroxyglutarate; Cth = cystathionine. CRLB: Cramér-Rao lower bound; IDH: isocitrate dehydrogenase.

2.
PLoS One ; 17(6): e0270111, 2022.
Article in English | MEDLINE | ID: mdl-35709213

ABSTRACT

BACKGROUND: COVID-19 prognostic factors include age, sex, comorbidities, laboratory and imaging findings, and time from symptom onset to seeking care. PURPOSE: The study aim was to evaluate indices combining disease severity measures and time from disease onset to predict mortality of COVID-19 patients admitted to the emergency department (ED). MATERIALS AND METHODS: All consecutive COVID-19 patients who underwent both computed tomography (CT) and chest X-ray (CXR) at ED presentation between 27/02/2020 and 13/03/2020 were included. CT visual score of disease extension and CXR Radiographic Assessment of Lung Edema (RALE) score were collected. The CT- and CXR-based scores, C-reactive protein (CRP), and oxygen saturation levels (sO2) were separately combined with time from symptom onset to ED presentation to obtain severity/time indices. Multivariable regression age- and sex-adjusted models without and with severity/time indices were compared. For CXR-RALE, the models were tested in a validation cohort. RESULTS: Of the 308 included patients, 55 (17.9%) died. In multivariable logistic age- and sex-adjusted models for death at 30 days, severity/time indices showed good discrimination ability, higher for imaging than for laboratory measures (AUCCT = 0.92, AUCCXR = 0.90, AUCCRP = 0.88, AUCsO2 = 0.88). AUCCXR was lower in the validation cohort (0.79). The models including severity/time indices performed slightly better than models including measures of disease severity not combined with time and those including the Charlson Comorbidity Index, except for CRP-based models. CONCLUSION: Time from symptom onset to ED admission is a strong prognostic factor and provides added value to the interpretation of imaging and laboratory findings at ED presentation.


Subject(s)
COVID-19 , COVID-19/diagnostic imaging , Cohort Studies , Humans , Prognosis , Radiography, Thoracic , Respiratory Sounds , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index
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