Transrectal Ultrasound of the Prostate

Trabulsi, Edouard J.; Liu, Xiaolong S.; Das, Akhil

doi:10.1007/978-1-59745-351-6_10

Cited by 4 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 80 ] In select cases, transrectal ultrasound can be beneficial, particularly in differentiating solid from cystic lesions and evaluating the tumor’s proximity to the rectum. [ 85 ]…”

Section: Discussionmentioning

confidence: 99%

Presacral tumors: A systematic review of literature

Otote,

Butnari,

Ravichandran

et al. 2024

JCIS

View full text Add to dashboard Cite

Presacral/Retrorectal tumors (RRT) are rare lesions that comprise a multitude of histological types. Data on surgical management are limited to case reports and small case series. The aim of the study was to provide a comprehensive review of the epidemiology, pathological subtypes, surgical approaches, and clinical outcomes. A PubMed search using terms “retrorectal tumor” and “presacral tumor” was used to identify articles reporting RRT of non-urological, non-gynecologic, and non-metastatic origin. Articles included were between 2015 and 2023. A total of 68 studies were included, comprising 570 patients. About 68.2% of patients were female, and the mean overall age of both sexes was 48.6 years. Based on histopathology, 466 patients (81.8%) had benign lesions, and 104 (18.2%) were malignant. In terms of surgical approach, 191 (33.5%) were treated anteriorly, 240 (42.1%) through a posterior approach, and 66 (11.6%) combined. The mean length of stay was 7.6 days. Patients treated using the posterior approach had a shorter length of stay (5.7 days) compared to the anterior and combined approaches. RRT are rare tumors of congenital nature with prevalence among the female sex. R0 resection is crucial in its management, and minimal access surgery appears to be a safer option in appropriate case selection.

show abstract

“…[ 80 ] In select cases, transrectal ultrasound can be beneficial, particularly in differentiating solid from cystic lesions and evaluating the tumor’s proximity to the rectum. [ 85 ]…”

Section: Discussionmentioning

confidence: 99%

Presacral tumors: A systematic review of literature

Otote,

Butnari,

Ravichandran

et al. 2024

JCIS

View full text Add to dashboard Cite

show abstract

“…At present, accurate prostate segmentation is usually obtained manually from TRUS images, on which many modern clinical applications rely. The most prominent examples include brachytherapy (which requires segmenting the prostate boundary pre-operatively to calculate the prostate volume and construct the treatment plan) [2], biopsy needle placement [3], [4] as well as the localization of malignant tissues by fusing with MRI [5], [6]. Pengfei Wu and *Yiguang Liu are with the Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China (e-mail: wpfnihao@gmail.com; liuyg@scu.edu.cn).…”

Section: Introductionmentioning

confidence: 99%

Robust Prostate Segmentation Using Intrinsic Properties of TRUS Images

Liu

et al. 2015

IEEE Trans. Med. Imaging

View full text Add to dashboard Cite

Accurate segmentation is usually crucial in transrectal ultrasound (TRUS) image based prostate diagnosis; however, it is always hampered by heavy speckles. Contrary to the traditional view that speckles are adverse to segmentation, we exploit intrinsic properties induced by speckles to facilitate the task, based on the observations that sizes and orientations of speckles provide salient cues to determine the prostate boundary. Since the speckle orientation changes in accordance with a statistical prior rule, rotation-invariant texture feature is extracted along the orientations revealed by the rule. To address the problem of feature changes due to different speckle sizes, TRUS images are split into several arc-like strips. In each strip, every individual feature vector is sparsely represented, and representation residuals are obtained. The residuals, along with the spatial coherence inherited from biological tissues, are combined to segment the prostate preliminarily via graph cuts. After that, the segmentation is fine-tuned by a novel level sets model, which integrates (1) the prostate shape prior, (2) dark-to-light intensity transition near the prostate boundary, and (3) the texture feature just obtained. The proposed method is validated on two 2-D image datasets obtained from two different sonographic imaging systems, with the mean absolute distance on the mid gland images only 1.06±0.53 mm and 1.25±0.77 mm, respectively. The method is also extended to segment apex and base images, producing competitive results over the state of the art.

show abstract

“…Various patterns of origin of the PA exist with classifications established by different teams from all around the world, suggesting differences in arterial supply in the prostate gland between and within a population [, 10 , 12 , [15] , [16] , [17] , [18] , [19] ]. However, PAs classification by de Assis et al(10) provides a framework for standardizing the origin of the prostate arteries.…”

Section: Introductionmentioning

confidence: 99%