2019
DOI: 10.1002/pros.23943
|View full text |Cite
|
Sign up to set email alerts
|

Automated approach for estimation of grade groups for prostate cancer based on histological image feature analysis

Abstract: Background: There is low reproducibility of the grade group of prostate cancer due to the intra-and interobserver variability among pathologists. This study aimed to develop an automated approach for estimating prostate cancer grade groups based on features obtained from histological image analysis. Methods: Fifty-nine patients who underwent radical prostatectomy were selected under the approval of the institutional review board of our university hospital. For estimation, we followed the grade group criteria p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 32 publications
0
3
0
Order By: Relevance
“…Our ratiometric approach used a combination of red, green, and blue pixel intensity values. Automated histological studies using different wavelengths of light have primarily been applied in cancer applications 33 , 34 . One breast cancer study used multispectral (16-wavelengths) and RGB data to spectrally unmix breast cancer markers 33 .…”
Section: Discussionmentioning
confidence: 99%
“…Our ratiometric approach used a combination of red, green, and blue pixel intensity values. Automated histological studies using different wavelengths of light have primarily been applied in cancer applications 33 , 34 . One breast cancer study used multispectral (16-wavelengths) and RGB data to spectrally unmix breast cancer markers 33 .…”
Section: Discussionmentioning
confidence: 99%
“…All 44 patients with prostate cancer who underwent radical prostatectomy were retrospectively selected in this study with the approval of the institutional review board of Kyushu University Hospital, Japan. The radical prostatectomy specimens were processed as described previously 26 . Table 1 shows the patient characteristics and the significant differences between the training and test datasets in this study.…”
Section: Methodsmentioning
confidence: 99%
“…The radical prostatectomy specimens were processed as described previously. 26 Table 1 shows the patient characteristics and the significant differences between the training and test datasets in this study. The ISUP GGs and contours of all prostate cancer regions were determined as references based on the consensus between two pathologists (Fumio Kinoshita and Kenjiro Imada) on hematoxylin and eosin-stained histological images digitized using a digital whole slide scanner (Nanozoomer-SQ; Hamamatsu Photonics KK) at 20× magnification with a pixel size of 0.4 μm.…”
Section: Clinical Casesmentioning
confidence: 99%