Stability and Reproducibility of Radiomic Features Based Various Segmentation Technique on MR Images of Hepatocellular Carcinoma (HCC)

Hepatocellular carcinoma (HCC) is considered as a complex liver disease and ranked as the eighth-highest mortality rate with a prevalence of 2.4% in Malaysia. Magnetic resonance imaging (MRI) has been acknowledged for its advantages, a gold technique for diagnosing HCC, and yet the false-negative diagnosis from the examinations is inevitable. In this study, 30 MR images from patients diagnosed with HCC is used to evaluate the robustness of semi-automatic segmentation using the flood fill algorithm for quantitative features extraction. The relevant features were extracted from the segmented MR images of HCC. Four types of features extraction were used for this study, which are tumour intensity, shape feature, textural feature and wavelet feature. A total of 662 radiomic features were extracted from manual and semi-automatic segmentation and compared using intra-class relation coefficient (ICC). Radiomic features extracted using semi-automatic segmentation utilized flood filling algorithm from 3D-slicer had significantly higher reproducibility (average ICC = 0.952 ± 0.009, p < 0.05) compared with features extracted from manual segmentation (average ICC = 0.897 ± 0.011, p > 0.05). Moreover, features extracted from semi-automatic segmentation were more robust compared to manual segmentation. This study shows that semi-automatic segmentation from 3D-Slicer is a better alternative to the manual segmentation, as they can produce more robust and reproducible radiomic features.

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Magnetic resonance imaging of the cirrhotic liver: diagnosis of hepatocellular carcinoma and evaluation of response to treatment – Part 2

Radiologia Brasileira ◽

10.1590/0100-3984.2015.0140 ◽

2017 ◽

Vol 50 (2) ◽

pp. 115-125 ◽

Cited By ~ 8

Author(s):

Miguel Ramalho ◽

António P. Matos ◽

Mamdoh AlObaidy ◽

Fernanda Velloni ◽

Ersan Altun ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Magnetic Resonance ◽

Diagnostic Algorithm ◽

Response To Treatment ◽

Locoregional Therapy ◽

Liver Imaging ◽

Imaging Features ◽

Resonance Imaging ◽

Magnetic Resonance Imaging Mri

Abstract In the second part of this review, we will describe the ancillary imaging features of hepatocellular carcinoma (HCC) that can be seen on standard magnetic resonance imaging (MRI) protocol, and on novel and emerging protocols such as diffusion weighted imaging and utilization of hepatocyte-specific/hepatobiliary contrast agent. We will also describe the morphologic sub-types of HCC, and give a simplified non-invasive diagnostic algorithm for HCC, followed by a brief description of the liver imaging reporting and data system (LI-RADS), and MRI assessment of tumor response following locoregional therapy.

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Pathobiological and Radiological Approach For Hepatocellular Carcinoma Subclassification

Scientific Reports ◽

10.1038/s41598-019-51303-9 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 2

Author(s):

Francesco Vasuri ◽

Matteo Renzulli ◽

Silvia Fittipaldi ◽

Stefano Brocchi ◽

Alfredo Clemente ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Magnetic Resonance ◽

Histopathological Analysis ◽

Resonance Imaging ◽

Imaging Diagnosis ◽

Mri Features ◽

Histopathological Evaluation ◽

Magnetic Resonance Imaging Mri ◽

Made In

Abstract Many advances have been made in the imaging diagnosis and in the histopathological evaluation of HCC. However, the classic imaging and histopathological features of HCC are still inadequate to define patient’s prognosis. We aimed to find the link between new proposed morphovascular patterns of hepatocellular carcinoma (HCC) and magnetic resonance imaging (MRI) features to identify pre-operatory markers of biologically aggressive HCC. Thirty-nine liver nodules in 22 patients were consecutively identified. Histopathological analysis and immunohistochemistry for CD34 and Nestin were performed to identify the four different HCC morphovascular patterns. MRI was performed using gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid. Three out of four morphovascular HCC patterns showed peculiar MRI features: in particular Pattern D (solid aggressive HCCs with CD34+/Nestin+ new-formed arteries) were isointense on T1-WI in 83% of cases and hyperintense on T2-WI in 50%. Five histologically-diagnosed HCC were diagnosed as non-malignant nodules on MRI due to their early vascularization and low aggressiveness (Pattern A). The comparison between histology and MRI confirms that a subclassification of HCC is possible in a pre-operatory setting. MRI seems to reinforce once more the identity of the different morphovascular HCC patterns and the possibility to pre-operatively identify HCCs with features of biological aggressiveness.

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GH-Producing Pituitary Adenoma and Concomitant Rathke’s Cleft Cyst: A Case Report and Short Review

Case Reports in Neurological Medicine ◽

10.1155/2015/948025 ◽

2015 ◽

Vol 2015 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

Ryota Tamura ◽

Satoshi Takahashi ◽

Katsura Emoto ◽

Hideaki Nagashima ◽

Masahiro Toda ◽

...

Keyword(s):

Pituitary Adenoma ◽

Sella Turcica ◽

Short Review ◽

Pituitary Hormones ◽

Rathke’S Cleft Cyst ◽

Resonance Imaging ◽

Mr Images ◽

Rathke's Cleft Cyst ◽

Magnetic Resonance Imaging Mri ◽

Rathke's Cleft

Concomitant pituitary adenoma (PA) and Rathke’s cleft cyst (RCC) are rare. In some cases, such PA is known to produce pituitary hormones. A 53-year-old man was admitted to our hospital with a diagnosis of lacunar infarction in the left basal ganglia. Magnetic resonance imaging (MRI) incidentally showed a suprasellar mass with radiographic features of RCC. When he consulted with a neurosurgical outpatient clinic, acromegaly was suspected based on his appearance. A diagnosis of growth hormone- (GH-) producing PA was confirmed from hormonal examinations and additional MRI. Retrospectively, initial MR images also showed intrasellar mass that is compatible with the diagnosis of PA other than suprasellar RCC. The patient underwent endonasal-endoscopic removal of the PA. Since we judged that the RCC of the patient was asymptomatic, only the PA was completely removed. The postoperative course of the patient was uneventful and GH levels gradually normalized. Only 40 cases of PA with concomitant RCC have been reported to date, including 13 cases of GH-producing PA. In those 13 cases, RCC tended to be located in the sella turcica, and suprasellar RCC like this case appears rare. In a few cases, concomitant RCCs were fenestrated, but GH levels normalized postoperatively as in the cases without RCC fenestration. If radiographic imaging shows typical RCC, and PA is not obvious at first glance, the possibility of concomitant PA still needs to be considered. In terms of treatment, removal of the RCC is not needed to achieve hormone normalization.

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Magnetic Resonance Imaging of the Facial Nerve

Otolaryngology ◽

10.1177/019459988910100301 ◽

1989 ◽

Vol 101 (3) ◽

pp. 295-301 ◽

Cited By ~ 15

Author(s):

Donald G. Wortham ◽

Louis M. Teresi ◽

Robert B. Lufkin ◽

William N. Hanafee ◽

Paul H. Ward

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Facial Nerve ◽

Temporal Bone ◽

Resonance Imaging ◽

Mr Images ◽

Beam Hardening ◽

Parotid Tumors ◽

Seventh Nerve ◽

Magnetic Resonance Imaging Mri

Magnetic resonance imaging (MRI) of the facial nerve was evaluated by studying normal volunteers and patients with diseases of the facial nerve with a 0.3 Tesla permanent-magnet MRI system with special surface colls. The normal MR images were correlated with the anatomy of thin cryosection specimens of fresh cadavers. The seventh nerve was followed from its nucleus in the brainstem through the temporal bone to the parotid gland bed. The entire labyrinth and tympanic portions, as well as the geniculate ganglion, could be shown with appropriate scan planes. Examples of brainstem diseases affecting the facial nerve and nucleus, facial neuromas, parotid tumors involving the facial nerve, and other diseases were studied. MRI is a technique that allows unique evaluation of the entire course of the facial nerve. It produces superior Images of the facial nerve with high-contrast resolution. Unlike computed tomography, there is no beam-hardening artifact from the temporal bone or exposure to ionizing radiation and contrast agents. MRI also allows visualization of the main trunks of the facial nerve in the parotid bed not possible with any other imaging technique.

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Sequential MR Images and Radiographs of Epiphyseal Osteomyelitis in the Distal Femur of an Infant

Case Reports in Radiology ◽

10.1155/2013/672815 ◽

2013 ◽

Vol 2013 ◽

pp. 1-4

Author(s):

Hitomi Hara ◽

Toshihiro Akisue ◽

Teruya Kawamoto ◽

Masahiro Kurosaka

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Early Diagnosis ◽

Early Phase ◽

Therapeutic Response ◽

Distal Femur ◽

Acute Osteomyelitis ◽

Resonance Imaging ◽

Mr Images ◽

Magnetic Resonance Imaging Mri

Magnetic resonance imaging (MRI) plays an important role in the diagnosis of osteomyelitis, especially during the early phase of the disease. The findings of sequential MRIs during the course of treatment in acute osteomyelitis in children have not yet been reported in the literature. We present a case of acute epiphyseal osteomyelitis in the distal femur of an infant. We monitored imaging changes by sequential MRIs and radiographs. MRI was more useful than radiograph for early diagnosis and evaluation of therapeutic response.

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Magnetic resonance imaging of the cirrhotic liver: diagnosis of hepatocellular carcinoma and evaluation of response to treatment - Part 1

Radiologia Brasileira ◽

10.1590/0100-3984.2015.0132 ◽

2017 ◽

Vol 50 (1) ◽

pp. 38-47 ◽

Cited By ~ 10

Author(s):

Miguel Ramalho ◽

António P. Matos ◽

Mamdoh AlObaidy ◽

Fernanda Velloni ◽

Ersan Altun ◽

...

Keyword(s):

Magnetic Resonance Imaging ◽

Hepatocellular Carcinoma ◽

Liver Cirrhosis ◽

Magnetic Resonance ◽

Cirrhotic Liver ◽

Response To Treatment ◽

Arterial Phase ◽

Resonance Imaging ◽

Regenerative Nodules ◽

Magnetic Resonance Imaging Mri

Abstract Magnetic resonance imaging (MRI) is the modern gold standard for the noninvasive evaluation of the cirrhotic liver. The combination of arterial phase hyperenhancement and delayed wash-out allows a definitive diagnosis of hepatocellular carcinoma (HCC) in patients with liver cirrhosis or chronic liver disease, without the requirement for confirmatory biopsy. That pattern is highly specific and has been endorsed in Western and Asian diagnostic guidelines. However, the sensitivity of the combination is relatively low for small HCCs. In this two-part review paper, we will address MRI of the cirrhotic liver. In this first part, we provide a brief background on liver cirrhosis and HCC, followed by descriptions of imaging surveillance of liver cirrhosis and the diagnostic performance of the different imaging modalities used in clinical settings. We then describe some of the requirements for the basic MRI technique, as well as the standard MRI protocol, and provide a detailed description of the appearance of various types of hepatocellular nodules encountered in the setting of the carcinogenic pathway in the cirrhotic liver, ranging from regenerative nodules to HCC.

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Segmentation of elongated structures processed on breast MRI for the detection of vessels

tm - Technisches Messen ◽

10.1515/teme-2021-0017 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Marco Gierlinger ◽

Dinah M. Brandner ◽

Bernhard G. Zagar

Keyword(s):

Breast Magnetic Resonance Imaging ◽

Breast Mri ◽

Region Growing ◽

Seed Region ◽

Resonance Imaging ◽

Mr Images ◽

Pixel Intensity ◽

Breast Magnetic Resonance ◽

Magnetic Resonance Imaging Mri ◽

Diagnosis Of Diseases

Abstract The multi-seed region growing (MSRG) algorithm from previous work is extended to extract elongated segments from breast Magnetic Resonance Imaging (MRI) stacks. A model is created to adjust the MSRG parameters such that the elongated segments may reveal vessels that can support clinicians in their diagnosis of diseases or provide them with useful information before surgery during e. g. a neoadjuvant therapy. The model is a pipeline of tasks and contains user-defined parameters that influence the segmentation result. A crucial task of the model relies on a skeletonization-like algorithm that collects useful information about the segments’ thickness, length, etc. Length, thickness, and gradient information of the pixel intensity along the segment helps to determine whether the extracted segments have a tubular structure, which is assumed to be the case for vessels. In this work, we show how the results are derived and that the MSRG algorithm is capable of extracting vessel-like segments even from noisy MR images.

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Brain Structures Segmentation by using Statistical Models

Medical Technologies Journal ◽

10.26415/2572-004x-vol1iss3p59-59 ◽

2017 ◽

Vol 1 (3) ◽

pp. 59

Author(s):

Abdelfettah Meziane ◽

Saïd MAHMOUDI ◽

Mohammed Amine CHIKH

Keyword(s):

Automatic Segmentation ◽

Brain Structures ◽

Segmentation Method ◽

Resonance Imaging ◽

Active Appearance Models ◽

Active Shape Models ◽

Shape Models ◽

Appearance Models ◽

Magnetic Resonance Imaging Mri ◽

Aided Diagnosis

Automatic segmentation of brain structures is a fundamental step for quantitative analysis of images in many brain’s pathologies such as Alzheimer’s, brain’s tumors or multiple sclerosis. The large variation of brain structures requires the development of efficient and specific methods, often by using Magnetic Resonance Imaging (MRI) modality. The goal of our work is to implement an automatic brain’s structures segmentation method that uses the active shape models (ASM) and active appearance models (AAM) techniques. Another goal of this work is to compare the performances of these segmentation approaches, and also to evaluate their use in a computer aided diagnosis tools and to compare their performances.

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Deep Learning-Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects

Computational and Mathematical Methods in Medicine ◽

10.1155/2021/3628179 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Bin Zhao ◽

Zhiyang Liu ◽

Guohua Liu ◽

Chen Cao ◽

Song Jin ◽

...

Keyword(s):

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Segmentation Method ◽

Lesion Segmentation ◽

Resonance Imaging ◽

Mr Images ◽

Dice Coefficient ◽

Automatic Methods ◽

Stroke Lesion ◽

Magnetic Resonance Imaging Mri

Acute ischemic stroke (AIS) has been a common threat to human health and may lead to severe outcomes without proper and prompt treatment. To precisely diagnose AIS, it is of paramount importance to quantitatively evaluate the AIS lesions. By adopting a convolutional neural network (CNN), many automatic methods for ischemic stroke lesion segmentation on magnetic resonance imaging (MRI) have been proposed. However, most CNN-based methods should be trained on a large amount of fully labeled subjects, and the label annotation is a labor-intensive and time-consuming task. Therefore, in this paper, we propose to use a mixture of many weakly labeled and a few fully labeled subjects to relieve the thirst of fully labeled subjects. In particular, a multifeature map fusion network (MFMF-Network) with two branches is proposed, where hundreds of weakly labeled subjects are used to train the classification branch, and several fully labeled subjects are adopted to tune the segmentation branch. By training on 398 weakly labeled and 5 fully labeled subjects, the proposed method is able to achieve a mean dice coefficient of 0.699 ± 0.128 on a test set with 179 subjects. The lesion-wise and subject-wise metrics are also evaluated, where a lesion-wise F1 score of 0.886 and a subject-wise detection rate of 1 are achieved.

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Can MRI quantify the volume changes of denervated facial muscles?

European Journal of Translational Myology ◽

10.4081/ejtm.2019.8918 ◽

2020 ◽

Vol 30 (1) ◽

pp. 144-149 ◽

Cited By ~ 1

Author(s):

Valeria Mastryukova ◽

Dirk Arnold ◽

Daniel Güllmar ◽

Orlando Guntinas-Lichius ◽

Gerd Fabian Volk

Keyword(s):

Magnetic Resonance ◽

Facial Paralysis ◽

Magnetic Resonance Images ◽

Manual Segmentation ◽

Facial Muscle ◽

Resonance Imaging ◽

Volume Changes ◽

Time Points ◽

Facial Muscles ◽

Magnetic Resonance Imaging Mri

Could manual segmentation of magnetic resonance images be used to quantify the effects of transcutaneous electrostimulation and reinnervation of denervated facial muscle? Five patients with unilateral facial paralysis were scanned during the study while receiving a daily surface electrostimulation of the paralytic cheek region, but also after reinnervation. Their facial muscles were identified in 3D (coronal, sagittal, and axial) and segmented in magnetic resonance imaging (MRI) data for in total 28 time points over the 12 months of study. A non-significant trend of increasing muscle volume were detected after reinnervation. MRI is a valuable technique in the facial paralysis research.

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