Prediction of post-TACE necrosis of hepatocellular carcinoma usingvolumetric enhancement on MRI and volumetric oil deposition on CT, with pathological correlation

Varzaneh, Farnaz Najmi; Pandey, Ankur; Ghasabeh, Mounes Aliyari; Shao, Nan; Khoshpouri, Pegah; Pandey, Pallavi; Zarghampour, Manijeh; Fouladi, Daniel Fadaei; Liddell, Robert P.; Anders, Robert A.; Kamel, Ihab R.

doi:10.1007/s00330-017-5198-9

Cited by 41 publications

(23 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The disruption of deoxyribonucleic acid (DNA) structure in the nuclei of cancer cells is a major mechanism for chemotherapy- and radiotherapy-induced apoptosis, and mitotic catastrophe is a molecular event prior to apoptosis [12,13,14]. Additionally, necrosis, as a passive form of cell death following injury and ischemia, can also be induced by chemotherapy, radiotherapy, ablation, and transcatheter arterial chemoembolization (TACE) [15,16,17,18].…”

Section: Introductionmentioning

confidence: 99%

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed

Wang

Liu

Feng

et al. 2019

Cancers

View full text Add to dashboard Cite

Cancer remains a major cause of death globally. Given its relapsing and fatal features, curing cancer seems to be something hardly possible for the majority of patients. In view of the development in cancer therapies, this article summarizes currently available cancer therapeutics and cure potential by cancer type and stage at diagnosis, based on literature and database reviews. Currently common cancer therapeutics include surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy. However, treatment with curative intent by these methods are mainly eligible for patients with localized disease or treatment-sensitive cancers and therefore their contributions to cancer curability are relatively limited. The prognosis for cancer patients varies among different cancer types with a five-year relative survival rate (RSR) of more than 80% in thyroid cancer, melanoma, breast cancer, and Hodgkin’s lymphoma. The most dismal prognosis is observed in patients with small-cell lung cancer, pancreatic cancer, hepatocellular carcinoma, oesophagal cancer, acute myeloid leukemia, non-small cell lung cancer, and gastric cancer with a five-year RSR ranging between 7% and 28%. The current review is intended to provide a general view about how much we have achieved in curing cancer as regards to different therapies and cancer types. Finally, we propose a small molecule dual-targeting broad-spectrum anticancer strategy called OncoCiDia, in combination with emerging highly sensitive liquid biopsy, with theoretical curative potential for the management of solid malignancies, especially at the micro-cancer stage.

show abstract

Section: Introductionmentioning

confidence: 99%

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed

Wang

Liu

Feng

et al. 2019

Cancers

View full text Add to dashboard Cite

show abstract

“…The role of Lipiodol as potential imaging biomarker has been previously suggested with evidence from both retrospective and prospective data. Previous studies indicate that Lipiodol coverage on CT is correlated with subsequent necrosis on follow-up imaging and histopathology [10][11][12][13]28,32,33 . Unlike particulate-form embolic agents that usually fail to effectively penetrate the small intra-tumoral vasculature and tissue, Lipiodol, due to its oily nature, enters the tumor more readily and is retained within the tissue in a likely tumor-specific manner.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike particulate-form embolic agents that usually fail to effectively penetrate the small intra-tumoral vasculature and tissue, Lipiodol, due to its oily nature, enters the tumor more readily and is retained within the tissue in a likely tumor-specific manner. Theoretically, the quantification of density and spatial distribution of Lipiodol on 24 h CT could enable the assessment of drug delivery success, identification of undertreated areas and prediction of response 10 , 11 , 22 , 32 . Our methods translate this hypothesis into practice and provide proof-of-concept for density and pattern-based prediction of tumor tissue devascularization in areas of Lipiodol deposition throughout several tumor entities.…”

Section: Discussionmentioning

confidence: 99%

“…However, clinical implications of varying Lipiodol density and its spatial distribution on imaging have not yet been studied and their impact on tumor response remains unclear. Previous studies quantified Lipiodol deposition using manual segmentations or semi-automatic threshold-based techniques that were coarse, reader-dependent and potentially prone to bias given significant pattern heterogeneity and radiomic complexity of Lipiodol, limiting their effectiveness as predictable imaging biomarkers 10 , 11 , 18 . Translating Lipiodol deposition on imaging into a reliable surrogate marker for tumor response requires robust automated techniques that provide efficient, standardized methods for analyzing and describing its appearance on CT.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer

Stark

Wang

Savic

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Conventional transarterial chemoembolization (cTACE) is a guideline-approved image-guided therapy option for liver cancer using the radiopaque drug-carrier and micro-embolic agent Lipiodol, which has been previously established as an imaging biomarker for tumor response. To establish automated quantitative and pattern-based image analysis techniques of Lipiodol deposition on 24 h post-cTACE CT as biomarker for treatment response. The density of Lipiodol deposits in 65 liver lesions was automatically quantified using Hounsfield Unit thresholds. Lipiodol deposition within the tumor was automatically assessed for patterns including homogeneity, sparsity, rim, and peripheral deposition. Lipiodol deposition was correlated with enhancing tumor volume (ETV) on baseline and follow-up MRI. ETV on baseline MRI strongly correlated with Lipiodol deposition on 24 h CT (p < 0.0001), with 8.22% ± 14.59 more Lipiodol in viable than necrotic tumor areas. On follow-up, tumor regions with Lipiodol showed higher rates of ETV reduction than areas without Lipiodol (p = 0.0475) and increasing densities of Lipiodol enhanced this effect. Also, homogeneous (p = 0.0006), non-sparse (p < 0.0001), rim deposition within sparse tumors (p = 0.045), and peripheral deposition (p < 0.0001) of Lipiodol showed improved response. This technical innovation study showed that an automated threshold-based volumetric feature characterization of Lipiodol deposits is feasible and enables practical use of Lipiodol as imaging biomarker for therapeutic efficacy after cTACE.

show abstract

“…inside a tumour [22,23] . Despite this application of DWI, it also has many disadvantages such as technical aspects which need to be considered.…”

Section: Supplementary Imaging Techniques 21 Diffusion Weighted Imamentioning

confidence: 99%

A Recent Short Review in Non-Invasive Magnetic Resonance Imaging on Assessment of HCC Stages: MRI Findings and Pathological Diagnosis

Ahmad

Suardi

Shukri

et al. 2020

Journal of Gastroenterology and Hepatology Research

View full text Add to dashboard Cite

Prediction of post-TACE necrosis of hepatocellular carcinoma usingvolumetric enhancement on MRI and volumetric oil deposition on CT, with pathological correlation

Cited by 41 publications

References 29 publications

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed

Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer

A Recent Short Review in Non-Invasive Magnetic Resonance Imaging on Assessment of HCC Stages: MRI Findings and Pathological Diagnosis

Contact Info

Product

Resources

About