Pseudo-3D HSQC, a method to create a true 2D HSQC-plane. Application to softwood extract analysis.

Pseudo-3D HSQC provides an alternative and easy way to record and analyze quantitative HSQC-data. In the original time-zero extrapolated H-C HSQC (HSQC), three separate 2D constant-time (CT) HSQC-experiments (HSQC, i = 1-3) are acquired, where either 1,2 or 3 consecutive CT-HSQC-propagators are repeated in each pulse sequence, and the 2D integral data from the three 2D experiments is analyzed via linear regression. In the presented pseudo-3D HSQC, HSQC is one of the dimensions and all data is contained within one dataset, which is recorded in interleaved manner by acquiring the same t-value for each HSQC-point before t-incrementation.

Cancer incidence following non-neoplastic medical conditions: a prospective population-based cohort study.

Background And Purpose: Many non-neoplastic diseases have been established to be tumorigenic, and cancers are sometimes misdiagnosed as non-neoplastic diseases. We conducted a comprehensive registry-based study of site-specific cancer diagnosis risk following the diagnosis of any preceding medical condition (PMC) encoded by the International Classification of Diseases (ICD)-10 classification.

Material And Methods: We analyzed healthcare data and cancer data for a random population-based sample of 2.

Convection compensation in 3D iDOSY-HMBC H-C-correlation experiments.

3D iDOSY-HMBC (3D incorporated Diffusion Ordered SpectroscopY-Heteronuclear Multiple Bond Correlation) pulse sequences were modified to incorporate convection compensation element. No additional delays were required, and convection compensation was directly constructed within the existing delay periods in 3D iDOSY-HMBC pulse sequence. Convection compensation was achieved by pulsed field gradient double echo, thus avoiding the intensity loss normally related to stimulated echo methods.