Paper · 37679641
Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma.
Ma X and 9 others. Radiol Med, 2023. Cited by 40 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma. Papers, record 37679641. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/37679641
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma.
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Cholangiocarcinoma | Major topic |
| Bile Duct Neoplasms | Major topic |
| Humans | |
| Nomograms | |
| Retrospective Studies | |
| Neoplasm Invasiveness | |
| Magnetic Resonance Imaging | |
| Bile Ducts, Intrahepatic |
Source PubMed
Grants4
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by |
|---|---|---|---|---|
| No.M2021014 | Medical Scientific Research Program of Jiangsu Commission of Health | PubMed | ||
| No. YFM2020020 | "the Development Research Foundation of Affiliated Hospital" of Xuzhou Medical University | PubMed | ||
| No. XWRCHT20210030 | Xuzhou Medical Leading Talents Training Project | PubMed | ||
| No. 2020ZSLC61 | Clinical Research Project of Zhongshan Hospital, Fudan University | PubMed |
Source PubMed
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References40
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 28,693,792 | Cholangiocarcinoma. | Crit Rev Oncol Hematol | 2017 | https://conductscience.org/library/papers/28693792 | PubMed |
| 2 | 33,538,338 | Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. | CA Cancer J Clin | 2021 | https://conductscience.org/library/papers/33538338 | PubMed |
| 3 | 24,614,916 | Long-term trends in incidence and mortality of intrahepatic and extrahepatic bile duct cancer in Japan. | J Epidemiol | 2014 | https://conductscience.org/library/papers/24614916 | PubMed |
| 4 | 25,966,423 | Epidemiology of cholangiocarcinoma. | Best Pract Res Clin Gastroenterol | 2015 | https://conductscience.org/library/papers/25966423 | PubMed |
| 5 | 12,933,488 | Cholangiocarcinoma: morphologic classification according to growth pattern and imaging findings. | AJR Am J Roentgenol | 2003 | https://conductscience.org/library/papers/12933488 | PubMed |
| 6 | 11,995,443 | Macroscopic types of intrahepatic cholangiocarcinoma: clinicopathologic features and surgical outcomes. | Hepatogastroenterology | 2002 | https://conductscience.org/library/papers/11995443 | PubMed |
| 7 | 19,245,868 | Burden of digestive diseases in the United States Part III: Liver, biliary tract, and pancreas. | Gastroenterology | 2009 | https://conductscience.org/library/papers/19245868 | PubMed |
| 8 | 28,503,555 | Surgical options for intrahepatic cholangiocarcinoma. | Hepatobiliary Surg Nutr | 2017 | https://conductscience.org/library/papers/28503555 | PubMed |
| 9 | 28,317,403 | Intrahepatic cholangiocarcinoma: current management and emerging therapies. | Expert Rev Gastroenterol Hepatol | 2017 | https://conductscience.org/library/papers/28317403 | PubMed |
| 10 | 25,410,716 | Model to predict survival after surgical resection of intrahepatic cholangiocarcinoma: the Mayo Clinic experience. | HPB (Oxford) | 2015 | https://conductscience.org/library/papers/25410716 | PubMed |
1 to 10 of 40
See all 40 referencesCited by31
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 40 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,870,891 | Magnetic resonance imaging-based radiomics for predicting P53-mutated hepatocellular carcinoma: intratumoral and peritumoral analysis. | Transl Cancer Res | 2026 | https://conductscience.org/library/papers/42870891 | PubMed |
| 42,857,487 | Noninvasive prediction of microvascular invasion in hepatocellular carcinoma using a fusion model of 5-mm optimal peritumoral radiomics and imaging features based on multiphasic gadoxetic acid-enhanced MRI. | Front Oncol | 2026 | https://conductscience.org/library/papers/42857487 | PubMed |
| 42,323,535 | Radiomics analysis of CT imaging for predicting MIT family translocation renal cell carcinoma: a multicenter retrospective clinical study. | BMC Cancer | 2026 | https://conductscience.org/library/papers/42323535 | PubMed |
| 41,882,552 | Interpretable stacking model integrating intra-/peritumoral CT-radiomics and serum biomarkers for predicting microvascular invasion in HCC: a dual-center retrospective study. | BMC Gastroenterol | 2026 | https://conductscience.org/library/papers/41882552 | PubMed |
| 41,731,409 | Construction of novel radiomics nomogram model based on preoperative CT to predict lymphovascular tumor embolus and recurrence-free survival in early T1-2a stage lung adenocarcinomas. | BMC Med Imaging | 2026 | https://conductscience.org/library/papers/41731409 | PubMed |
| 41,366,360 | Preoperative MVI prediction in intrahepatic cholangiocarcinoma via deep learning analysis of intratumoral and peritumoral features on multi-sequence MRI. | BMC Med Imaging | 2025 | https://conductscience.org/library/papers/41366360 | PubMed |
| 41,205,141 | Clinical MRI-radiomics model based on support vector machine to predict the efficacy of first transarterial chemoembolization for unresectable intrahepatic cholangiocarcinoma. | Radiol Med | 2026 | https://conductscience.org/library/papers/41205141 | PubMed |
| 41,128,868 | A predictive model for differentiating PFA and PFB subtypes of posterior fossa ependymoma using multi-sequence MRI radiomics: a two-center study. | Neuroradiology | 2026 | https://conductscience.org/library/papers/41128868 | PubMed |
| 41,127,018 | MRI management of focal liver lesions: what a beginner cannot fail to know. | Front Oncol | 2025 | https://conductscience.org/library/papers/41127018 | PubMed |
| 41,114,107 | Artificial intelligence in the diagnosis and prognosis of intrahepatic cholangiocarcinoma: Applications and challenges. | World J Gastrointest Oncol | 2025 | https://conductscience.org/library/papers/41114107 | PubMed |
1 to 10 of 31
See all 31 cited byGenes2
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
| Gene | NCBI Gene ID | Linked by | In Genes | Source |
|---|---|---|---|---|
| AFP | 174 | PubTator's text mining | https://conductscience.org/library/genes/174 | NCBI Gene |
| CEACAM3 | 1,084 | PubTator's text mining | https://conductscience.org/library/genes/1084 | NCBI Gene |
Drugs0
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None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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