Results 11 to 20 of about 6,050 (126)

Correlation between ADC, ADC ratio, and Gleason Grade group in prostate cancer patients undergoing radical prostatectomy: Retrospective multicenter study with different MRI scanners

Frontiers in Oncology, 2023
BackgroundMRI is an important tool in the prostate cancer work-up, with special emphasis on the ADC sequence. This study aimed to investigate the correlation between ADC and ADC ratio compared to tumor aggressiveness determined by a histopathological ...
Johan Bengtsson, Johan Bengtsson, Erik Thimansson, Erik Thimansson, Erik Baubeta, Erik Baubeta, Sophia Zackrisson, Sophia Zackrisson, Pia Charlotte Sundgren, Pia Charlotte Sundgren, Pia Charlotte Sundgren, Anders Bjartell, Anders Bjartell, Despina Flondell-Sité, Despina Flondell-Sité   +14 more
doaj   +1 more source

Time to castration-resistant prostate cancer and prostate cancer death according to PSA response in men with non-metastatic prostate cancer treated with gonadotropin releasing hormone agonists

Scandinavian Journal of Urology, 2022
Objectives: To predict castration-resistant prostate cancer (CRPC) and prostate cancer (Pca) death by use of clinical variables at Pca diagnosis and PSA levels after start of gonadotropin-releasing hormone agonists (GnRH) in men with non-metastatic ...
Tiago M. Bonde, Marcus Westerberg, Markus Aly, Martin Eklund, Jan Adolfsson, Anna Bill-Axelson, Hans Garmo, Pär Stattin, David Robinson   +8 more
doaj   +1 more source

Risk of metastatic disease using [18F]PSMA-1007 PET/CT for primary prostate cancer staging

EJNMMI Research, 2021
Background Accurate prostate cancer imaging is critical for patient management. Multiple studies have demonstrated superior diagnostic accuracy of [68Ga]-PSMA-11 PET/CT over conventional imaging for disease detection, with validated clinical and ...
Venkata Avinash Chikatamarla, Satomi Okano, Peter Jenvey, Alexander Ansaldo, Matthew J. Roberts, Stuart C. Ramsay, Paul A. Thomas, David A. Pattison   +7 more
doaj   +1 more source

A Neural Network Model Based on Enhanced CT for Distinguishing ISUP Grade of Clear Cell Renal Cell Carcinoma

Zhongliu Fangzhi Yanjiu, 2021
Objective To establish a neural network model based on enhanced CT for distinguishing ISUP grade of clear cell renal cell carcinoma (ccRCC). Methods We collected 131 cases of ccRCC, with 92 cases of low ISUP grade and 39 cases of high ISUP grade ...
HAN Dong, ZHANG Xirong, JIA Yongjun, REN Ge, LYU Ruihua, SHI Linna, HE Taiping   +6 more
doaj   +1 more source

Prostate cancer detection rate and Gleason score in relation to prostate volume as assessed by magnetic resonance imaging cognitive biopsy and standard biopsy

Urology Research and Practice, 2020
Objective: This study aimed to assess the relationship of the prostate cancer and Gleason scores (GSs) or ISUP Grade system with prostate volume (PV) as assessed by magnetic resonance imaging (MRI) cognitive biopsy and standard biopsy.
Sat Prasad Nepal, Ryosuke Kato, Tatsuki Inoue, Tsutomu Unoki, Kazuhiko Oshinomi, Jun Morita, Yoshiko Maeda, Takeshi Shichijo, Michio Naoe, Yoshio Ogawa, Takehiko Nakasato, Madoka Omizu   +11 more
doaj   +1 more source

WHO/ISUP grading of clear cell renal cell carcinoma and papillary renal cell carcinoma; validation of grading on the digital pathology platform and perspectives on reproducibility of grade

Diagnostic Pathology, 2021
Background There are recognised potential pitfalls in digital diagnosis in urological pathology, including the grading of dysplasia. The World Health Organisation/International Society of Urological Pathology (WHO/ISUP) grading system for renal cell ...
Lisa Browning, Richard Colling, Clare Verrill   +2 more
doaj   +1 more source

Prognostic Value of the New Prostate Cancer International Society of Urological Pathology Grade Groups

Frontiers in Medicine, 2017
Gleason grading is the best independent predictor for prostate cancer (PCa) progression. Recently, a new PCa grading system has been introduced by the International Society of Urological Pathology (ISUP) and is recommended by the World Health ...
Anne Offermann, Silke Hohensteiner, Christiane Kuempers, Julika Ribbat-Idel, Felix Schneider, Finn Becker, Marie Christine Hupe, Stefan Duensing, Axel S. Merseburger, Jutta Kirfel, Markus Reischl, Verena Lubczyk, Rainer Kuefer, Sven Perner   +13 more
doaj   +1 more source

Use of PIRADS 2.1 to predict capsular invasion in patients with radiologic T3a prostate cancer

Frontiers in Oncology, 2023
ObjectiveUsing multi-parametric magnetic resonance imaging (mpMRI) to identify patients with clinical T3a (cT3a) who were overestimated on mpMRI with final pathological T2 (pT2).
Wan Song, Kwang Jin Ko, Jae Kyung Lee, Minyong Kang, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong IL. Seo, Seong Soo Jeon, Jae Hoon Chung   +9 more
doaj   +1 more source

Influence of Biopsy Gleason Score on the Risk of Lymph Node Invasion in Patients With Intermediate-Risk Prostate Cancer Undergoing Radical Prostatectomy

Frontiers in Surgery, 2021
Objective: To analyze the influence of biopsy Gleason score on the risk for lymph node invasion (LNI) during pelvic lymph node dissection (PLND) in patients undergoing radical prostatectomy (RP) for intermediate-risk prostate cancer (PCa).Materials and ...
Mike Wenzel, Mike Wenzel, Felix Preisser, Benedikt Hoeh, Maria N. Welte, Clara Humke, Clarissa Wittler, Christoph Würnschimmel, Christoph Würnschimmel, Andreas Becker, Pierre I. Karakiewicz, Felix K. H. Chun, Philipp Mandel, Luis A. Kluth   +13 more
doaj   +1 more source

Application of Spectral Algorithm Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study

Diagnostics, 2023
Background: Current prostate cancer evaluation can be inaccurate and burdensome. Quantitative evaluation of Magnetic Resonance Imaging (MRI) sequences non-invasively helps prostate tumor assessment.
Rulon Mayer, Baris Turkbey, Peter L. Choyke, Charles B. Simone   +3 more
doaj   +1 more source