1. Study on calculating the curative care expenditure of injury in Gansu Province based on "A System of Health Accounts 2011"
Meitao ZHAO ; Yuansheng HU ; Lei QI ; Ning WANG ; Quanmiao CUI ; Ya CUI ; Lixia WANG ; Xiaobin HU
Chinese Journal of Preventive Medicine 2019;53(9):900-906
Objective:
To study the distribution and related factors of curative care expenditure (CCE) of injury in Gansu Province in 2017.
Methods:
Based on the "A System of Health Accounts 2011 (SHA 2011)", the curative care expenditure of injury in Gansu Province was calculated and analyzed. The five-stage stratified cluster sampling method was adopted to extract 149 medical and health institutions, 120 township hospitals (including community health service centers), 150 individual clinics and 600 village clinics (including community health service stations). The top-down allocation method was used to calculate the cost of injury treatment in Gansu Province, and the influencing factors were analyzed by multiple linear regression.
Results:
In 2017, the CCE of injury in Gansu province was 3.831 billion yuan, and the expense in general hospitals was 2.708 billion yuan. Among them, the cost of lower limb injury and head injury were 1.090 and 0.847 billion yuan. People aged 40 to 69 years old spent 1.901 billion yuan on injury treatment, and the CCE of injury treatment for men and women were 2.422 and 1.409 billion yuan respectively. The results of multiple linear regression showed that hospitalization expenditure was significantly associated with length of stay, operation, hospital grade, age, payment method and gender (
2.Value for combination of T1WI star -VIBE with TWIST -VIBE dynamic contrast -enhanced MRI in distinguishing lung nodules.
Junjiao HU ; Meitao LIU ; Wei ZHAO ; Ziyan DING ; Fang WU ; Wen HU ; Hu GUO ; Huiting ZHANG ; Pei HU ; Yiyang LI ; Minjie OU ; Danqi HAN ; Xiangyu CHEN
Journal of Central South University(Medical Sciences) 2023;48(4):581-593
OBJECTIVES:
With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T1 weighted free-breathing star-volumetric interpolated breath hold examination (T1WI star-VIBE) in identifying benign and malignant lung nodules.
METHODS:
We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T1WI-VIBE, the contrast-enhanced T1WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared.
RESULTS:
There were significant differences in unenhanced T1WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T1WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001).
CONCLUSIONS
T1WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult
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Humans
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Retrospective Studies
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Magnetic Resonance Imaging
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Plasma
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Tomography, X-Ray Computed
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Lung