Prognostic value of hepatic volumetry in fulminant hepatic failure

Sekiyama, Kazuhiko; Yoshiba, Makoto; Inoue, Kazuaki; Sugata, Fumio

doi:10.1007/bf02090192

Cited by 51 publications

(29 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sekiyama et al [19] demonstrated that the computed tomography (CT)-derived liver volume (CTLV) of survivors of ALF was significantly greater than that of non-survivors. CTLV alone cannot reflect individual physical differences such as body weight and height, and it was therefore necessary to standardize individual liver volume in the healthy state.…”

Section: Introductionmentioning

confidence: 99%

A new prognostic formula for adult acute liver failure using computer tomography-derived hepatic volumetric analysis

et al. 2009

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

A new prognostic formula for adult acute liver failure using computer tomography-derived hepatic volumetric analysis

et al. 2009

View full text Add to dashboard Cite

show abstract

“…The development of computer-based image processing techniques now allows for rapid and accurate assessment of spleen volumes on radiologic data [36] and their inclusion in the radiologist’s interpretation and report. While several papers have investigated spleen size nomograms using the volume [27,28,29,30,43,44,50], our study proposes and evaluates the systematic definition of a volumetric threshold to detect and grade splenomegaly.…”

Section: Introductionmentioning

confidence: 99%

Assessing Splenomegaly

Linguraru¹,

Sandberg²,

Jones³

et al. 2013

Academic Radiology

View full text Add to dashboard Cite

Rationale and Objectives To define systematic volumetric thresholds to identify and grade splenomegaly, and retrospectively evaluate the performance of radiologists to assess splenomegaly in computed tomography image data. Materials and Methods A clinical tool was developed to segment spleens from 172 contrast-enhanced clinical CT studies. There were 45 normal and 127 splenomegaly cases confirmed by radiological reports. Spleen volumes were compared to manual measurements using overlap/error. Volumetric thresholds for mild/massive splenomegaly were defined at 1/2.5 standard deviations above the average splenic volume of the healthy population. The thresholds were validated against consensus reports. The performance of radiologists in assessing splenomegaly was retrospectively evaluated. Results The automated segmentation of spleens was robust with volume overlap/error of 95.2/3.3%. There were no significant differences (p>0.2) between manual and automated segmentations for either normal/splenomegaly subgroups. Comparable correlations between interobserver and manual-automated measurements were found (R=0.99 for all). The average volume of normal spleens was 236.89±77.58 ml. For splenomegaly, average volume was 1004.75±644.27 ml. Volumetric thresholds of 314.47/430.84 ml were used to define mild/massive splenomegaly (+/−18.86 ml 95% CI). Radiologists disagreed in 23.25% (n=40) of the diagnosed cases. The area under the ROC curve of the volumetric criterion for splenomegaly detection was 0.96. Using the volumetric thresholds as the reference standard, the sensitivity of radiologists in detecting all/mild/massive splenomegaly was 95.0/66.6/99.0% at 78.0% specificity, respectively. Conclusion Thresholds for the identification and grading of splenomegaly from automatic volumetric spleen assessment were introduced. The volumetric thresholds match well with clinical interpretations for splenomegaly and may improve splenomegaly detection compared with splenic cephalocaudal height measurements or visual inspection commonly used in current clinical practice.

show abstract

“…[1][2][3][4][5][6][7] In addition to diagnosis, organ volume/height measurements have also been found to be important in making surgical decisions involving organ transplantation. [8][9][10] In traditional clinical practice, 3D organ analysis is performed via time-consuming manual measurements; alternatively, the evaluation is based on 2D projection images, which introduces bias.…”

Section: Introductionmentioning

confidence: 99%

Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation

et al. 2010

View full text Add to dashboard Cite

Purpose:To investigate the potential of the normalized probabilistic atlases and computer-aided medical image analysis to automatically segment and quantify livers and spleens for extracting imaging biomarkers ͑volume and height͒. Methods: A clinical tool was developed to segment livers and spleen from 257 abdominal contrastenhanced CT studies. There were 51 normal livers, 44 normal spleens, 128 splenomegaly, 59 hepatomegaly, and 23 partial hepatectomy cases. 20 more contrast-enhanced CT scans from a public site with manual segmentations of mainly pathological livers were used to test the method. Data were acquired on a variety of scanners from different manufacturers and at varying resolution. Probabilistic atlases of livers and spleens were created using manually segmented data from ten noncontrast CT scans ͑five male and five female͒. The organ locations were modeled in the physical space and normalized to the position of an anatomical landmark, the xiphoid. The construction and exploitation of liver and spleen atlases enabled the automated quantifications of liver/spleen volumes and heights ͑midhepatic liver height and cephalocaudal spleen height͒ from abdominal CT data. The quantification was improved incrementally by a geodesic active contour, patient specific contrast-enhancement characteristics passed to an adaptive convolution, and correction for shape and location errors. Results: The livers and spleens were robustly segmented from normal and pathological cases. For the liver, the Dice/Tanimoto volume overlaps were 96.2%/92.7%, the volume/height errors were 2.2%/2.8%, the root-mean-squared error ͑RMSE͒ was 2.3 mm, and the average surface distance ͑ASD͒ was 1.2 mm. The spleen quantification led to 95.2%/91% Dice/Tanimoto overlaps, 3.3%/ 1.7% volume/height errors, 1.1 mm RMSE, and 0.7 ASD. The correlations ͑R 2 ͒ with clinical/ manual height measurements were 0.97 and 0.93 for the spleen and liver, respectively ͑p Ͻ 0.0001͒. No significant difference ͑p Ͼ 0.2͒ was found comparing interobserver and automaticmanual volume/height errors for liver and spleen. Conclusions: The algorithm is robust to segmenting normal and enlarged spleens and livers, and in the presence of tumors and large morphological changes due to partial hepatectomy. Imaging biomarkers of the liver and spleen from automated computer-assisted tools have the potential to assist the diagnosis of abdominal disorders from routine analysis of clinical data and guide clinical management.

show abstract

Prognostic value of hepatic volumetry in fulminant hepatic failure

Cited by 51 publications

References 16 publications

A new prognostic formula for adult acute liver failure using computer tomography-derived hepatic volumetric analysis

A new prognostic formula for adult acute liver failure using computer tomography-derived hepatic volumetric analysis

Assessing Splenomegaly

Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation

Contact Info

Product

Resources

About