Cardiac T2 star mapping: standardized inline analysis of long and short axis at three identical 1.5 T MRI scanners

MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia

BACKGROUND

The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.

PURPOSE

To develop a deep learning-based method for automatic septum segmentation from black-blood MR images for the myocardial T2* measurement of thalassemia patients.

STUDY TYPE

Retrospective.

POPULATION/SUBJECTS

One hundred forty-six transfusion-dependent thalassemia patients with cardiac MR examinations from two centers. Data from Center 1 (1.5 T) were assigned to the training (100 examinations) and internal testing (20 examinations) sets; data from Center 2 were assigned to the external testing set (26 examinations; 10 at 1.5 T and 16 at 3.0 T).

FIELD STRENGTH/SEQUENCE

1.5 T and 3.0 T, multiecho gradient-echo sequence.

ASSESSMENT

A modified attention U-Net for septum segmentation was constructed and trained, and its performance evaluated on unseen internal and external datasets. T2* was measured by fitting the average septum signal, separately segmented by automatic and manual methods.

STATISTICAL TESTS

Agreement between manual and automatic septum segmentations was assessed with the Dice coefficient, and T2* agreement was assessed using the Bland-Altman plot and the coefficient of variation (CoV).

RESULTS

The median Dice coefficient of deep network-based septum segmentation was 0.90 [0.05] on the internal dataset, 0.82 [0.10] on the external 1.5 T dataset, and 0.86 [0.14] on the external 3.0 T dataset. T2* measurements using automatic segmentation corresponded with those from manual segmentation, with a mean difference of 0.02 (95% LoA: -0.74 to 0.79) msec, 0.43 (95% LoA: -2.1 to 3.0) msec, and 0.36 (95% LoA: -0.72 to 1.4) msec on the three datasets. The CoVs between the two methods were 3.1%, 7.0%, and 6.1% on the internal and two external datasets, respectively.

DATA CONCLUSIONS

The proposed septum segmentation yielded myocardial T2* measurements which were highly consistent with those obtained by manual segmentation. This automatic approach may facilitate data processing and avoid operator-dependent variability in practice.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY: Stage 1.

Cardiac T2 * mapping: Techniques and clinical applications

Cardiac T₂* mapping is a noninvasive MRI method that is used to identify myocardial iron accumulation in several iron storage diseases such as hereditary hemochromatosis, sickle cell disease, and β‐thalassemia major. The method has improved over the years in terms of MR acquisition, focus on relative artifact‐free myocardium regions, and T₂* quantification. Several improvement factors involved include blood pool signal suppression, the reproducibility of T₂* measurement as affected by scanner hardware, and acquisition software. Regarding the T₂* quantification, improvement factors include the applied curve‐fitting method with or without truncation of the signals acquired at longer echo times and whether or not T₂* measurement focuses on multiple segmental regions or the midventricular septum only. Although already widely applied in clinical practice, data processing still differs between centers, contributing to measurement outcome variations. State of the art T₂* measurement involves pixelwise quantification providing better spatial iron loading information than region of interest‐based quantification. Improvements have been proposed, such as on MR acquisition for free‐breathing mapping, the generation of fast mapping, noise reduction, automatic myocardial contour delineation, and different T₂* quantification methods. This review deals with the pro and cons of different methods used to quantify T₂* and generate T₂* maps. The purpose is to recommend a combination of MR acquisition and T₂* mapping quantification techniques for reliable outcomes in measuring and follow‐up of myocardial iron overload. The clinical application of cardiac T₂* mapping for iron overload's early detection, monitoring, and treatment is addressed. The prospects of T₂* mapping combined with different MR acquisition methods, such as cardiac T₁ mapping, are also described.

Level of Evidence: 4

Technical Efficacy Stage: 5

J. Magn. Reson. Imaging 2019.

Androgen-deprivation therapy impairs left ventricle functions in prostate cancer patients

BACKGROUND

Androgen-deprivation therapy (ADT) is a treatment option for locally advanced and metastatic prostate cancer (PCA). The aim of the study was to evaluate the effect of ADT on left ventricular (LV) functions assessed by speckle-tracking echocardiography (STE) in prostate cancer (PCA) patients.

METHODS

Forty-nine consecutive PCA patients (mean age 71.5 ± 6.7 years) who would be treated with radiotherapy and ADT and 32 consecutive PCA patients (mean age 71.9 ± 7.0 years) who would be treated with radical or partial prostatectomy and 42 age-matched healthy men (mean age 70.5 ± 9.1 years) were included in our study. The left ventricular functions were assessed by both conventional echocardiography and STE at baseline and 6 months later.

RESULTS

There were not any significant difference in characteristics of the patients and controls. There were not any significant differences in conventional echocardiographic measures at baseline and at 6th month among the PCA patients and controls. Although there were not any significant differences in STE measures at baseline among the PCA patients and controls, the strain measures of the PCA patients receiving ADT decreased significantly at the 6th month and were significantly lower compared to strain measures of PCA patients undergoing prostatectomy and controls. There was not any statistically significant difference in baseline and 6th-month strain measures of the PCA patients undergoing prostatectomy.

CONCLUSIONS

ADT might be associated with decrease in LV longitudinal, circumferential, and radial strain measures in patients with PCA. STE might be useful for early identification of LV subclinical impairment in PCA patients treated with ADT.