Subtle changes in benign tissue adjacent to prostate neoplasia detected with a Bayesian belief network

Montironi, Rodolfo; Diamanti, L.; Pomante, Roberto; Thompson, Deborah; Bartels, Peter H.

doi:10.1002/(sici)1096-9896(199708)182:4<442::aid-path866>3.0.co;2-p

Cited by 25 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image analysis has also been employed to identify consistent changes in "normal appearing" prostate tissue adjacent to tumor [17,18]. In one study cases of prostatic adenocarcinoma was consistently detected by examining histologically normal tissue using high-resolution image cytometry [18], and in another, combined highly sensitive and discriminating Fourier transform-infrared spectroscopy with statistical analysis was used to detect damaged DNA in normal appearing prostate tissue adjacent to cancer [34].…”

Section: Discussionmentioning

confidence: 99%

“…However, a variety of methods such as chromosomal analysis [13], SAGE [14] and ploidy analysis [15,16] have shown molecular abnormalities in normal appearing prostate adjacent to tumor. Even the term "normal appearing" prostate tissue adjacent to tumor may be misleading, as morphologic researchers using quantitative imaging analysis [17-19], have identified morphologic changes in the epithelial nuclei and blood vessels architecture in prostate tissue adjacent to tumor that are not routinely commented upon by pathologists. This suggests that, in some cases, tissues adjacent to cancer, although appearing morphologically normal by traditional microscopic examination, may contain genetic changes associated with the genesis of or reaction to cancer.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

et al. 2005

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

et al. 2005

View full text Add to dashboard Cite

show abstract

“…In particular, the possibility of identifying cases with subtle alterations may be applicable to specific clinical situations, such as the detection of malignancy in the prostate when only benign-appearing tissue is observed in a biopsy due to inadequate sampling [23].…”

Section: Discussionmentioning

confidence: 99%

Nuclear changes in the normal-looking columnar epithelium adjacent to and distant from prostatic intraepithelial neoplasia and prostate cancer

et al. 2000

Self Cite

View full text Add to dashboard Cite

Subtle morphological changes and molecular alterations have been reported in normal-appearing tissue in prostates with high-grade prostatic intraepithelial neoplasia (PIN) and prostate cancer (PCa). The severity and the distribution of these changes and alterations within the prostate gland have not been addressed in previous publications. The aim of this study was to investigate morphometrically the nuclear changes of the normal-looking columnar epithelium adjacent to and distant from high-grade PIN and PCa. Karyometry was performed on the whole-mount histological sections of three radical prostatectomy (RP) specimens. Two concentrical lines, one corresponding to the outer surface (or capsule) of the prostate and the other corresponding to one centimeter towards the center, were drawn with a black pen on each whole-mount section. The part of the prostate tissue between these two boundaries was then divided into twelve equal sectors or regions. The part within the inner line was divided into two regions. The analysis was also performed on the slides of the apex and base of the prostate. One prostate contained normal-looking epithelium only (case no. 1). Another contained both high-grade PIN and PCa, the former occupying larger areas than the latter (case no. 2). Both high-grade PIN and PCa were present in the third sample, in which PCa was more widely distributed than PIN (case no. 3). The lesion measured in each region was always the most severe, e.g., either high-grade PIN or PCa. When neither were identifiable, then the normal-looking columnar epithelium was analyzed. For each sector, the mean and standard deviation of the nuclear area, maximum nuclear diameter, nuclear roundness factor, and nucleolar area were calculated. In normal-looking columnar epithelium, the mean of the mean nuclear area of the sectors of case no. 1 was 35.19 microm2 (SD 4.14). The mean nuclear areas in cases no. 2 and no. 3 were 37.94 microm2 (SD 4.65) and 37.31 microm2 (SD 4.36), respectively. The mean of the mean nuclear area of the sectors with high-grade PIN of case no. 2 was 49.85 microm2 (SD 8.44), whereas it was 54.26 microm2 (SD 2.91) in case no. 3. The mean of the nuclear area values obtained in the sectors of cases no. 2 and no. 3 with PCa was 56.74 microm2 (SD 6.56) and 61.17 microm2 (SD 8.13), respectively. When considering the normal-looking tissue of the second and third case, 79% and 90%, respectively, of the regions showed nuclear area values greater than 34.94 microm2 (e.g., the 50th percentile of the mean nuclear area values of the regions of the first case). Sectors with normal-looking epithelium, whose nuclear area was above this threshold, were both adjacent to and at a distance of more than 1 cm from those with PIN or PCa. The other nuclear features showed a similar trend of value changes. This study demonstrates that the normal-looking ducts and acini from prostate harboring preneoplastic and neoplastic lesions show morphological nuclear abnormalities that are not seen by the human eyes but that can be detected w...

show abstract

“…The CP matrices were based on personal probabilities. 11,13 BBN 1 (cancer/not cancer) was devised for the identification of cancer foci. BBN 2 (Gleason grade) was specifically constructed for the identification of the Gleason system-based grade of cancer foci (five diagnostic outcomes corresponding to the five Gleason histological grades or patterns).…”

Section: Bayesian Belief Network (Bbns)mentioning

confidence: 99%

“…This has been shown previously to enhance the reproducibility of diagnostic classifications. 13 The aim of the present study was to apply a BBNbased methodology for the diagnosis and grading of prostatic cancer in patients treated with androgen deprivation before RP.…”

Section: Introductionmentioning

confidence: 99%

Inference network-based analyses of the histopathological effects of androgen deprivation on prostate cancer

et al. 1999

Self Cite

View full text Add to dashboard Cite

The evaluation of prostate cancer histology following hormonal therapy often represents a diagnostic problem for the pathologist. Previous studies have shown that an inference or Bayesian belief network (BBN) offers a descriptive classifier useful for the accurate analysis of morphological changes in individual cases of prostate neoplasia. Three different BBNs were evaluated in 94 cancer foci present in 20 radical prostatectomy (RP) specimens and in the matching biopsies in which the initial diagnosis of prostatic adenocarcinoma was made. Ten RP specimens were from patients treated with total androgen ablation or combination endocrine therapy (CET) before surgery. The first and second BBN allowed the identification with high certainty of the cancer foci present in the biopsies and RP specimens, as well as their Gleason grade, the belief value often being close to 1·0. The results of the second BBN showed a good correspondence between the Gleason grade given in the biopsies and that in the RP specimens, except in the surgical material of the treated patients, in which upgrading was always present. The third BBN showed the existence of three subgroups in treated RP specimens, one with morphological effect, another with poor effect, and the third with the histology of untreated (i.e. unaffected) cancer. In conclusion, an inference network‐based analysis allows the characterization of treated prostate cancers according to the degree of histopathological change. Copyright © 1999 John Wiley & Sons, Ltd.

show abstract

Subtle changes in benign tissue adjacent to prostate neoplasia detected with a Bayesian belief network

Cited by 25 publications

References 10 publications

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors

Nuclear changes in the normal-looking columnar epithelium adjacent to and distant from prostatic intraepithelial neoplasia and prostate cancer

Inference network-based analyses of the histopathological effects of androgen deprivation on prostate cancer

Contact Info

Product

Resources

About