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Dive into the research topics where Hsian-He Hsu is active.

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Featured researches published by Hsian-He Hsu.


Digestive Diseases and Sciences | 2005

Gastrointestinal stromal tumor (GIST) of the esophagus detected by positron emission tomography/computed tomography

Wei-Chou Chang; Ching Tzao; Daniel Hueng-yuan Shen; Cheng-yi Cheng; Cheng-Ping Yu; Hsian-He Hsu

Although rare elsewhere in the gastrointestinal tract, leiomyoma (LM) is the most common esophageal mesenchymal neoplasm. As a comparison, gastrointestinal stromal tumor (GIST) predominates in the stomach and intestines, but esophageal GIST has been reported less frequently. In contrast to other esophageal mesenchymal tumors, GIST is typically immunoreactive for KIT protein (CD117) in more than 95% of cases and is frequently coexpressed with CD34 (60 to 70%) (1, 2). Mutation of the c-kit proto-oncogene is associated with increasing risk for malignant transformation (3). Positron emission tomography (PET) has recently been employed to monitor progression of GIST from gastrointestinal tracts other than the esophagus (4–6) but its role in the diagnosis of GIST remains unclear. Herein we present a case of GIST of the esophagus confirmed by immunohistochemical stain. Conventional radiological studies including barium meal and computed tomography (CT) were unable to differentiate reliably LM or leiomyosarama (LMS) from GIST of the esophagus. Fused PET/CT was performed in this patient and provided additional information preoperatively in terms of its metabolic activity and the likelihood of a submucosal tumor other than LM.


Korean Journal of Radiology | 2011

Incidentally Detected Enhancing Breast Lesions on Chest Computed Tomography

Wen-Chiung Lin; Hsian-He Hsu; Chao-Shiang Li; Jyh-Cherng Yu; Giu-Cheng Hsu; Cheng-Ping Yu; Tsun-Hou Chang; Guo-Shu Huang

Objective To evaluate the nature and imaging appearance of incidental enhancing breast lesions detected on a routine contrast-enhanced chest CT. Materials and Methods Twenty-three patients with incidental enhancing breast lesions on contrast-enhanced chest CT were retrospectively reviewed. The breast lesions were reviewed by unenhanced and enhanced CT, and evaluated by observing the shapes, margins, enhancement patterns and backgrounds of breast lesions. A histopathologic diagnosis or long-term follow-up served as reference standard. Results Sixteen (70%) patients had malignant breast lesions and seven (30%) had benign lesions. In 10 patients, the breast lesions were exclusively detected on contrast-enhanced CT. Using unenhanced CT, breast lesions with fibroglandular backgrounds were prone to be obscured (p < 0.001). Incidental primary breast cancer showed an non-significant trend of a higher percentage irregular margin (p = 0.056). All of the four incidental breast lesions with non-mass-like enhancement were proven to be malignant. Conclusion Routine contrast-enhanced chest CT can reveal sufficient details to allow for the detection of unsuspected breast lesions, in which some cases may be proven as malignant. An irregular margin of incidental enhancing breast lesion can be considered a suggestive sign of malignancy.


PLOS ONE | 2014

Hematoma Shape, Hematoma Size, Glasgow Coma Scale Score and ICH Score: Which Predicts the 30-Day Mortality Better for Intracerebral Hematoma?

Chih-Wei Wang; Yi-Jui Liu; Yi-Hsiung Lee; Dueng-Yuan Hueng; Hueng-Chuen Fan; Fu-Chi Yang; Chun-Jen Hsueh; Hung-Wen Kao; Chun-Jung Juan; Hsian-He Hsu

Purpose To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality. Materials and Methods This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant. Results The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P = 0.0018), 0.715 (P = 0.0008) (by ABC/2) to 0.738 (P = 0.0002) (by CAVA), 0.877 (P<0.0001) (by ABC/2) to 0.882 (P<0.0001) (by CAVA), and 0.912 (P<0.0001), respectively. Conclusion Our study shows that hematoma shape, hematoma size, ICH scores and GCS score all significantly predict the 30-day mortality in an increasing order of AUC. The effect of overestimation of hematoma size by ABC/2 formula in predicting the 30-day mortality could be remedied by using ICH score.


Breast Journal | 2008

A Late Complication of Augmentation Mammoplasty by Polyacrylamide Hydrogel Injection: Ultrasound and Magnetic Resonance Imaging Findings of Huge Galactocele Formation in a Puerperal Woman with Pathological Correlation

Wen-Chiung Lin; Giu-Cheng Hsu; Yi-Chih Hsu; Hsian-He Hsu; Chao-Shiang Li; Tom Yun-Cheng Chen; Guo-Shu Huang

Abstract:  Polyacrylamide hydrogel (PAAG) was widely used for injection augmentation mammoplasty in Eastern Europe and China although uncommon in the western countries. However, the safety of this procedure remained controversial. Herein, we report a 30‐year‐old woman with a history of augmentation mammoplasty by PAAG injection developed galactoceles during her pregnancy. Ultrasound and magnetic resonance imaging showed huge cystic lesions in bilateral breasts; as a result, the normal breast tissue was almost completely replaced. On the basis of the imaging findings, the patient underwent mastectomy as well as immediate breast reconstruction with satisfactory outcome. It is important to be familiar with the imaging findings of this rare yet severe complication after augmentation mammoplasty in order to make an accurate diagnosis and a proper management.


European Journal of Radiology | 2015

Non-mass-like breast lesions at ultrasonography: Feature analysis and BI-RADS assessment ☆

Kai-Hsiung Ko; Hsian-He Hsu; Jyh-Cherng Yu; Yi-Jen Peng; Ho-Jui Tung; Chi-Ming Chu; Tsun-Hou Chang; Wei-Chou Chang; Yu-Cheng Wu; Yu-Pang Lin; Giu-Cheng Hsu

OBJECTIVE To analyze the features of non-mass-like (NML) breast lesions on ultrasound (US) and determine their corresponding malignancy rate and to stratify these lesion patterns according to US BI-RADS categories. MATERIALS AND METHODS One hundred sixty-four consecutive lesions were retrospectively classified into four types according to the US features, the corresponding positive predictive values (PPVs) were obtained. Clinical, imaging, and histopathological findings were reviewed. RESULTS Among the 164 lesions, 39 (24%) were classified as type Ia, 14 (8%) as type Ib, 39 (24%) as type IIa, 19 (12%) as type IIb, 19 (12%) as type III, and 34 (21%) as type IV. The PPVs for malignancy were 21% for type Ia, 79% for type Ib, 10% for type IIa, 58% for type IIb, 16% for type III, and 21% for type IV. All NML lesions were classified as BI-RADS category 4a (type IIa), 4b (type Ia, III and IV) and 4c (type Ib and IIb) according to their PPVs. There was a significantly higher frequency of malignancy among lesions of type Ib and type IIb compared with the other types (P<0.01 for each). Lesions with associated calcifications, presence of abnormal axillary nodes, or a mammographic finding of suspected malignancy had a higher probability of malignancy (P<0.05 for each). CONCLUSION US is useful in clarifying the indication for biopsy of NML lesions. The types of US classifications used in our study establish reliable references for the NML patterns when stratified according to the BI-RADS categories.


European Journal of Radiology | 2011

The value of multidetector-row computed tomography for localization of obscure acute gastrointestinal bleeding ☆

Wei-Chou Chang; Shih-Hung Tsai; Wei-Kuo Chang; Chang-Hsien Liu; Ho-Jui Tung; Chung-Bao Hsieh; Guo-Shu Huang; Hsian-He Hsu; Chih-Yung Yu

PURPOSE There are no simple guidelines on when to perform multidetector-row computed tomography (MDCT) for diagnosis of obscure acute gastrointestinal bleeding (AGIB). We used a risk scoring system to evaluate the diagnostic power of MDCT for patients with obscure AGIB. MATERIALS AND METHODS Ninety-two patients with obscure AGIB who were referred for an MDCT scan after unsuccessful endoscopic treatment at presentation were studied. We recorded clinical data and calculated Blatchford score for each patient. Patients who required transfusion more than 500mL of blood to maintain the vital signs were classified as high-risk patients. Two radiologists independently reviewed and categorized MDCT signs of obscure AGIB. Discordant findings were resolved by consensus. One-way ANOVA was used to compare clinical data between two groups; kappa statistics were used to estimate agreement on MDCT findings between radiologists. RESULTS Of the 92 patients, 62 (67.4%) were classified as high-risk patients. Blatchford scores of high-risk patients were significantly greater than those of low-risk patients. Sensitivity for MDCT diagnosing obscure AGIB was 81% in high-risk patients, as compared with 50% in the low-risk. When used in conjunction with selection of the cut-off value of 13 in Blatchford scoring system, the sensitivity and specificity of MDCT were 70.9% and 73.7%, respectively. Contrast extravasation was the most specific sign of AGIB (k=.87), recognition of which would have improved diagnostic accuracy. CONCLUSIONS With the aid of Blatchford scoring system for evaluating the disease severity, MDCT can localize the bleeders of obscure AGIB more efficiently.


Ultraschall in Der Medizin | 2010

Influence of Age on PPV of Sonographic BI-RADS Categories 3, 4, and 5

C.-Y. Fu; Hsian-He Hsu; J.-C. Yu; G.-C. Hsu; K.-F. Hsu; D.-C. Chan; C.-H. Ku; T.-C. Lu; C.-H. Chu

PURPOSE The purpose of this retrospective study was to calculate the positive predictive value (PPV) of sonographic Breast Imaging Reporting and Data System (BI-RADS) categories 3, 4, and 5 in different age groups to investigate whether age influences the PPV of the BI-RADS category in breast ultrasound. MATERIALS AND METHODS From our sonography-guided core biopsy database of breasts between 2006 and 2008, we identified 2817 BI-RADS category 3, 4, and 5 lesions with known pathological diagnosis in 2587 women, all of whom underwent the earlier breast assessment via ultrasound with a sonographic BI-RADS lexicon and later sonography-guided core biopsy. All lesions were classified into three age groups (< 45, 45 - 59, and > 59 years). The age-related PPVs of each BI-RADS category among three age groups were calculated on the basis of pathological diagnoses and were compared using a χ(2)-test. RESULTS The overall PPV of each BI-RADS category was 2.2 % in category 3, 6.5 % in category 4a, 35.2 % in category 4b, 79.6 % in category 4c, and 99.6 % in category 5. The age-related PPVs of category 3 varied significantly among the three age groups (0.9 % versus 3.9 % versus 2.0 % p = 0.048), and notably, the age-related PPV in group 2 was higher than the others. Additionally, there was a significant positive association between the age-related PPVs and increasing age in categories 4a and 4b (4a, p < 0.0001 and 4b, p = 0.0139), but not in categories 4c and 5 (4c, p = 0.1853 and 5, p = 0.2871). CONCLUSION The incidence of female breast cancer differs not only in different sonographic BI-RADS categories, but also in different age groups. Therefore, more attention should be paid to the special age group that we found for sonographic BI-RADS categories 3, 4a, and 4b.


Computerized Medical Imaging and Graphics | 2009

Contrast enhancement and tissues classification of breast MRI using Kalman filter-based linear mixing method

Sheng-Chih Yang; Chuin-Mu Wang; Hsian-He Hsu; Pau-Choo Chung; Giu-Cheng Hsu; Chun-Jung Juan; Chien-Shun Lo

Much attention is currently focused on one of the newest breast examination techniques, breast MRI. Contrast-enhanced breast MRIs acquired by contrast injection have been shown to be very sensitive in the detection of breast cancer, but are also time-consuming and cause waste of medical resources. This paper therefore proposes the use of spectral signature detection technology, the Kalman filter-based linear mixing method (KFLM), which can successfully present the results as high-contrast images and classify breast MRIs into major tissues from four bands of breast MRIs. A series of experiments using phantom and real MRIs was conducted and the results compared with those of the commonly used c-means (CM) method and dynamic contrast-enhanced (DCE) breast MRIs for performance evaluation. After comparison with the CM algorithm and DCE breast MRIs, the experimental results showed that the high-contrast images generated by the spectral signature detection technology, the KFLM, were of superior quality.


international conference of the ieee engineering in medicine and biology society | 2005

3D ROC Analysis for Medical Imaging Diagnosis

Su Wang; Chein-I Chang; Sheng-Chih Yang; Giu-Cheng Hsu; Hsian-He Hsu; Pau-Choo Chung; Shu-Mei Guo; San-Kan Lee

Receiver operating characteristics (ROC) has been widely used as a performance evaluation tool to measure effectiveness of medical modalities. It is derived from a standard detection theory with false alarm and detection power interpreted as false positive (FP) and true positive (TP) respectively in terms of medical diagnosis. The ROC curve is plotted based on TP versus FP via hard decisions. This paper presents a three dimensional (3D) ROC analysis which extends the traditional two-dimensional (2D) ROC analysis by including a threshold parameter in a third dimension resulting from soft decisions, (SD). As a result, a 3D ROC curve can be plotted based on three parameters, TP, FP and SD. By virtue of such a 3D ROC curve three two-dimensional (2D) ROC curves can be derived, one of which is the traditional 2D ROC curve of TP versus FP with SD reduced to hard decision. In order to illustrate its utility in medical diagnosis, its application to magnetic resonance (MR) image classification is demonstrated


PLOS ONE | 2014

Features on MDCT that predict surgery in patients with adhesive-related small bowel obstruction.

Wei-Chou Chang; Kai-Hsiung Ko; Chun-Shu Lin; Hsian-He Hsu; Shih-Hung Tsai; Hsiu-Lung Fan; Ho-Jui Tung; Guo-Shu Huang; Ran-Chou Chen

Purpose The purpose of this study was to determine the contribution of multidetector-row computed tomography (MDCT) in the management of adhesion-related small bowel obstruction (SBO) and to identify its predictive value for surgery. Methods We conducted a retrospective review of 151 patients over a 5-year period with the diagnosis of SBO caused by adhesion. These patients were divided into two groups: surgery (n =  63) and observation group (n =  88). Two radiologists blinded to the outcome of the patients evaluated MDCT images retrospectively, recording the bowel diameter, bowel wall thickness, degree of obstruction, air-fluid level, mesenteric fatty stranding, transitional zone, intraperitoneal fluid, close loop, whirl sign, and faeces sign. Statistical analyses were performed using univariate and multivariable analyses. Results Multivariable analysis showed that MDCT demonstrated presence of intraperitoneal fluid (Odds ratio, OR, 4.38), high-grade or complete obstruction (OR, 3.19) and mesenteric fatty stranding (OR, 2.81), and absence of faeces sign (OR, 2.11) were the most significant predictors. When all of the four criteria were used in combination, high sensitivity of 98.4% and specificity of 90.9% were achieved for the prediction for surgery. Conclusion MDCT is useful to evaluate adhesion-related SBO and to predict accurately patients who require surgery. Use of the four MDCT features in combination is highly suggestive of the need for early surgical intervention.

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Guo-Shu Huang

National Defense Medical Center

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Wei-Chou Chang

National Defense Medical Center

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Chun-Jung Juan

National Defense Medical Center

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Kai-Hsiung Ko

National Defense Medical Center

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Giu-Cheng Hsu

Tri-Service General Hospital

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Jyh-Cherng Yu

National Defense Medical Center

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Shih-Chun Lee

National Defense Medical Center

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Tsun-Hou Chang

National Defense Medical Center

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Tsai-Wang Huang

National Defense Medical Center

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Hung Chang

National Defense Medical Center

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