Correction: Cancer Imaging 22, 74 (2022)
https://doi.org/10.1186/s40644-022-00509-8
The original publication of this article [1] contained several consistency errors. The incorrect and correct information is shown below
Abstract
Incorrect
The study participants included 184 patients who had undergone RARP at our institution, 26% of whom were pECE + (i.e., pECE positive). Significant predictors of pECE + were TCCL, capsular disruption, measurable ECE on MRI, and a GS of ≥ 7(4 + 3) on a prostate biopsy.
Correct
The study participants included 185 patients who had undergone RARP at our institution, 26% of whom were pECE + (i.e., pECE positive). Significant predictors of pECE + were TCCL, capsular disruption, measurable ECE on MRI, and a GS of ≥ 7(4 + 3) on a prostate biopsy.
Materials and methods
Incorrect
This study included 257 participants, all of whom were patients diagnosed with PCa between 2015 and 2018.
The exclusion criteria (Fig. 1) led to 72 patients being excluded, leaving only 185 patients for analysis.
Correct
This study included 237 participants, all of whom were patients diagnosed with PCa between 2015 and 2018.
The exclusion criteria (Fig. 1) led to 52 patients being excluded, leaving only 185 patients for analysis.
Results
Incorrect
For every increase of one millimeter in the capsular contact length, the odds of presenting pECE + increases by 9% compared with patients with no contact capsular length.
Correct
For every increase of one millimeter in the capsular contact length, the odds of presenting pECE + increases by 9.7% compared with patients with no contact capsular length.
Incorrect
The odds of presenting pECE + were 3.3, 5.5, and 6.2 times higher in patients with capsular disruption, measurable ECE on MRI, and a GSs of ≥ (4 + 3), respectively, compared to patients without these characteristics.
Correct
The odds of presenting pECE + were 3.0, 5.2, and 6.2 times higher in patients with capsular disruption, measurable ECE on MRI, and a GSs of ≥ (4 + 3), respectively, compared to patients without these characteristics.
Incorrect
To evaluate the performance of the multivariable logistic regression model, we computed the ROC curve and the AUC. The estimated model shows a good performance in distinguishing pECE + patients from pECE − patients, with an AUC of 0.90 (86.0–95.8%), a high sensitivity (93%), and moderate specificity (70%) (Table 3).
Correct
To evaluate the performance of the multivariable logistic regression model, we computed the ROC curve and the AUC. The estimated model shows a good performance in distinguishing pECE + patients from pECE − patients, with an AUC of 0.91 (85.3–94.5%), a high sensitivity (86%), and moderate specificity (78%) (Table 3).
Figure 4 caption
Incorrect
Gleason score less aggressive: < 7(3 + 4)
Correct
Gleason score less aggressive: < 7 (4 + 3)
Reference
- 1.Guerra Adalgisa, et al. Early biomarkers of extracapsular extension of prostate cancer using MRI-derived semantic features. Cancer Imaging. 2022;22:74. doi: 10.1186/s40644-022-00509-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
