Cited by 3Radiomics and Machine Learning in Medical ImagingAdrenal and Paraganglionic TumorsMedical Image Segmentation Techniques

The DOI matches its DataCite record.

Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-ACC-Ki67-Seg)

Open access
Moawad, Ahmed W., Ahmed, Ayahallah A., ElMohr, Mohab, Eltaher, Mohamed, Habra, Mouhammed Amir, Fisher, Sarah, Perrier, Nancy, Zhang, Miao, Fuentes, David, Elsayes, Khaled·2023·The Cancer Imaging Archive

Abstract

Adrenocortical carcinoma (ACC) is a rare tumor of the adrenal cortex with a reported annual incidence of one case per million population. ACC is highly aggressive, highly fatal tumor with 5-year overall survival rates ranging from 14% to 44%. Diagnosis of ACC is primarily based on histopathological parameters from resected tumors, which include Ki-67. The Ki-67 index is one of the most important established prognostic markers for local recurrence of ACC. Radiomic feature extraction showed a significant association between radiomic signature and Ki-67 expression status in ACC. This retrospectively acquired data includes contrast enhanced CT imaging studies of 53 confirmed ACC patients between 2006 to 2018 with available clinical, pathological data includes Ki-67 index. Semi-automatic segmentation of the adrenal tumor created using AMIRA, then manually refined by experienced radiologist. The segmentations of each contrast-enhanced CT were done for purpose of radiomic features extraction.

Overview

Integrity signals

Registry

DataCite · 10.7937/1fpg-vm46

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Citations

Cited by

Sorted by citations

See all 3

Metadata

Authors
Moawad, A. W., Ahmed, A. A., ElMohr, M., Eltaher, M., Habra, M. A., Fisher, S., Perrier, N., Zhang, M., Fuentes, D., & Elsayes, K.
Venue
The Cancer Imaging Archive
Publisher
The Cancer Imaging Archive
Published
2023
OpenAlex
W6978086260
Cited by
3
References
0
Citations by year
2025: 2 · 2024: 1
Type
dataset
Language
en
Open access
Locations
The Cancer Imaging Archive (cc-by)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
  • Health Sciences › Medicine › Surgery › Adrenal and Paraganglionic Tumors
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
adrenocortical carcinoma, Ki-67 expression, adrenal tumors, contrast-enhanced CT, radiomic features, prognostic factors, local recurrence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-ACC-Ki67-Seg). https://app.cochat.ai/papers/10.7937/1fpg-vm46
The paper
Moawad, A. W., Ahmed, A. A., ElMohr, M., Eltaher, M., Habra, M. A., Fisher, S., Perrier, N., Zhang, M., Fuentes, D., & Elsayes, K. (2023). Voxel-level segmentation of pathologically-proven Adrenocortical carcinoma with Ki-67 expression (Adrenal-ACC-Ki67-Seg). The Cancer Imaging Archive. https://doi.org/10.7937/1fpg-vm46