Result 1 - 10 of total 60
| Keywords | covid19 |
|---|---|
| Publisher | PMC |
| Document type | Article ; Online |
| DOI | 10.1016/j.jidi.2020.04.002 |
| Database | COVID19 |
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Diagnostic and interventional imaging
2022 Volume 103, Issue 11, Page(s) 499–509
Abstract: Thermal tumor ablation techniques including radiofrequency, microwave, LASER, high-intensity focused ultrasound and cryoablation are routinely used to treated liver, kidney, bone, or lung tumors. However, all these techniques are thermal and can ... ...
| Abstract | Thermal tumor ablation techniques including radiofrequency, microwave, LASER, high-intensity focused ultrasound and cryoablation are routinely used to treated liver, kidney, bone, or lung tumors. However, all these techniques are thermal and can therefore be affected by heat sink effect, which can lead to incomplete ablation, and thermal injuries of non-targeted tissues are possible. Under certain conditions, high voltage pulsed electric field can induce formation of pores in the cell membrane. This phenomenon, called electropermeabilization, is also known as "electroporation". Under certain conditions, electroporation can be irreversible, leading to cell death. Irreversible electroporation has demonstrated efficacy for the treatment of liver and prostate cancers, whereas data are scarce regarding pancreatic and renal cancers. During reversible electroporation, transient cell permeability can be used to introduce cytotoxic drugs into tumor cells (commonly bleomycin or cisplatin). Reversible electroporation used in conjunction with cytotoxic drugs shows promise in terms of oncological response, particularly for solid cutaneous and subcutaneous tumors such as melanoma. Irreversible and reversible electroporation are both not thermal ablation techniques and therefore open a new promising horizon for tumor ablation. |
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| MeSH term(s) | Humans ; Electrochemotherapy/methods ; Medical Oncology ; Electroporation/methods ; Neoplasms/surgery ; Antineoplastic Agents |
| Chemical Substances | Antineoplastic Agents |
| Language | English |
| Publishing date | 2022-10-17 |
| Publishing country | France |
| Document type | Journal Article ; Review |
| ZDB-ID | 2648283-6 |
| ISSN | 2211-5684 ; 2211-5684 |
| ISSN (online) | 2211-5684 |
| ISSN | 2211-5684 |
| DOI | 10.1016/j.diii.2022.09.009 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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AJR. American journal of roentgenology
2020 Volume 215, Issue 3, Page(s) W39
| MeSH term(s) | Betacoronavirus ; COVID-19 ; Coronavirus ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; Prevalence ; SARS-CoV-2 ; Tomography, X-Ray Computed |
|---|---|
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-07-09 |
| Publishing country | United States |
| Document type | Letter ; Comment |
| ZDB-ID | 82076-3 |
| ISSN | 1546-3141 ; 0361-803X ; 0092-5381 |
| ISSN (online) | 1546-3141 |
| ISSN | 0361-803X ; 0092-5381 |
| DOI | 10.2214/AJR.20.23530 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Ue I Zs.57: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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2024 Volume 113, Page(s) 102356
Abstract: The extraction of abdominal structures using deep learning has recently experienced a widespread interest in medical image analysis. Automatic abdominal organ and vessel segmentation is highly desirable to guide clinicians in computer-assisted diagnosis, ...
| Abstract | The extraction of abdominal structures using deep learning has recently experienced a widespread interest in medical image analysis. Automatic abdominal organ and vessel segmentation is highly desirable to guide clinicians in computer-assisted diagnosis, therapy, or surgical planning. Despite a good ability to extract large organs, the capacity of U-Net inspired architectures to automatically delineate smaller structures remains a major issue, especially given the increase in receptive field size as we go deeper into the network. To deal with various abdominal structure sizes while exploiting efficient geometric constraints, we present a novel approach that integrates into deep segmentation shape priors from a semi-overcomplete convolutional auto-encoder (S-OCAE) embedding. Compared to standard convolutional auto-encoders (CAE), it exploits an over-complete branch that projects data onto higher dimensions to better characterize anatomical structures with a small spatial extent. Experiments on abdominal organs and vessel delineation performed on various publicly available datasets highlight the effectiveness of our method compared to state-of-the-art, including U-Net trained without and with shape priors from a traditional CAE. Exploiting a semi-overcomplete convolutional auto-encoder embedding as shape priors improves the ability of deep segmentation models to provide realistic and accurate abdominal structure contours. |
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| MeSH term(s) | Neural Networks, Computer ; Tomography, X-Ray Computed/methods ; Abdomen/diagnostic imaging ; Diagnosis, Computer-Assisted |
| Language | English |
| Publishing date | 2024-02-09 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 639451-6 |
| ISSN | 1879-0771 ; 0895-6111 |
| ISSN (online) | 1879-0771 |
| ISSN | 0895-6111 |
| DOI | 10.1016/j.compmedimag.2024.102356 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 1323: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG) |
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Diagnostic and interventional imaging
2023 Volume 104, Issue 6, Page(s) 307–308
| MeSH term(s) | Humans ; Insulinoma/diagnostic imaging ; Insulinoma/surgery ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/therapy ; Pancreas ; Electroporation ; Treatment Outcome |
|---|---|
| Language | English |
| Publishing date | 2023-03-28 |
| Publishing country | France |
| Document type | Letter |
| ZDB-ID | 2648283-6 |
| ISSN | 2211-5684 ; 2211-5684 |
| ISSN (online) | 2211-5684 |
| ISSN | 2211-5684 |
| DOI | 10.1016/j.diii.2023.03.006 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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AJR Am J Roentgenol
| Keywords | covid19 |
|---|---|
| Publisher | WHO |
| Document type | Article |
| Note | WHO #Covidence: #695822 |
| Database | COVID19 |
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Physics in medicine and biology
2022 Volume 67, Issue 6
Abstract: Objective. ...
| Abstract | Objective. |
|---|---|
| MeSH term(s) | Algorithms ; Artifacts ; Image Processing, Computer-Assisted/methods ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods |
| Language | English |
| Publishing date | 2022-03-04 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 208857-5 |
| ISSN | 1361-6560 ; 0031-9155 |
| ISSN (online) | 1361-6560 |
| ISSN | 0031-9155 |
| DOI | 10.1088/1361-6560/ac4c32 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 199: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG) |
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2024
Abstract: Objectives: The aim of the IRECAP study was to evaluate the rate of locally advanced pancreas cancer patients (LAPC) who could undergo R0 or R1 surgery after irreversible electroporation (IRE).: Materials and methods: IRECAP study is a phase II, ... ...
| Abstract | Objectives: The aim of the IRECAP study was to evaluate the rate of locally advanced pancreas cancer patients (LAPC) who could undergo R0 or R1 surgery after irreversible electroporation (IRE). Materials and methods: IRECAP study is a phase II, single-center, open-label, prospective, non-randomized trial registered at clinicaltrials.gov (NCT03105921). Patients with LAPC were first treated by 3-month neo-adjuvant chemotherapy in order to avoid inclusion of either patients with LAPC having become resectable after chemotherapy or patients with rapid disease progression. In cases of stable disease, IRE was performed percutaneously under CT guidance. Surgery was planned between 28 and 90 days after IRE. Tumor specimens were studied to evaluate the resection margins (R0/R1/R2). Results: Six men and 11 women were included (median age 61 years, range 37-77 years). No IRE-related death was observed. Ten patients (58%, 10/17) experienced 25 serious adverse events related to IRE. Four patients progressed between IRE and surgery and were excluded from surgery. Thirteen patients were finally operated, six withheld for pancreas resection, three for diffuse peritoneal carcinosis, two for massive vascular entrapment, and one for hepato-cellular carcinoma not diagnosed before surgery. Rate of R1-R0 was 35% (n = 6/17). Median overall survival was 31 months (95% CI; 4-undefined) for the six patients with R0/R1 resection and 21 months (95% CI; 4-25) for the 11 patients without resection or R2 resection (logrank p = 0.044). Conclusion: After neoadjuvant chemotherapy, IRE could provide R0 or R1 resection in 35% of LAPC, which seems to be associated with higher OS. Clinical relevance statement: After induction chemotherapy, stable locally advanced pancreatic cancers can be treated by irreversible electroporation, which could lead to a secondary 35% rate of R0 or R1 surgical resection which may be associated with a significantly higher overall survival. Key points: • In cases of unresectable LAPC (locally advanced pancreatic cancer), percutaneous irreversible electroporation (pIRE) is feasible (100% success rate of the procedure), but is associated with a 58% rate of grade 3-4 adverse events. • In patients with unresectable LAPC, pIRE could lead 35% of patients to R0-R1 surgical resection. • From IRE, median overall survival was 31 months (95% CI; 4-undefined) for the patients with R0/R1 resection and 21 months (95% CI; 4-25) for the patients without resection or R2 resection (logrank p = 0.044). |
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| Language | English |
| Publishing date | 2024-03-18 |
| Publishing country | Germany |
| Document type | Journal Article |
| ZDB-ID | 1085366-2 |
| ISSN | 1432-1084 ; 0938-7994 ; 1613-3749 |
| ISSN (online) | 1432-1084 |
| ISSN | 0938-7994 ; 1613-3749 |
| DOI | 10.1007/s00330-024-10613-x |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 3300: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG) |
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2022 Volume 14, Issue 23
Abstract: Purpose: We aimed to assess the ability of radiomics features extracted from baseline (PET/CT0) and follow-up PET/CT scans, as well as their evolution (delta-radiomics), to predict clinical outcome (durable clinical benefit (DCB), progression, response ... ...
| Abstract | Purpose: We aimed to assess the ability of radiomics features extracted from baseline (PET/CT0) and follow-up PET/CT scans, as well as their evolution (delta-radiomics), to predict clinical outcome (durable clinical benefit (DCB), progression, response to therapy, OS and PFS) in non-small cell lung cancer (NSCLC) patients treated with immunotherapy. Methods: 83 NSCLC patients treated with immunotherapy who underwent a baseline PET/CT were retrospectively included. Response was assessed at 6−8 weeks (PET/CT1) using PERCIST criteria and at 3 months with iPERCIST (PET/CT2) or RECIST 1.1 criteria using CT. The predictive performance of clinical parameters (CP), standard PET metrics (SUV, Metabolic Tumor volume, Total Lesion Glycolysis), delta-radiomics and PET and CT radiomics features extracted at baseline and during follow-up were studied. Seven multivariate models with different combinations of CP and radiomics were trained on a subset of patients (75%) using least absolute shrinkage, selection operator (LASSO) and random forest classification with 10-fold cross-validation to predict outcome. Model validation was performed on the remaining patients (25%). Overall and progression-free survival was also performed by Kaplan−Meier survival analysis. Results: Numerous radiomics and delta-radiomics parameters had a high individual predictive value of patient outcome with areas under receiver operating characteristics curves (AUCs) >0.80. Their performance was superior to that of CP and standard PET metrics. Several multivariate models were also promising, especially for the prediction of progression (AUCs of 1 and 0.96 for the training and testing subsets with the PET-CT model (PET/CT0)) or DCB (AUCs of 0.85 and 0.83 with the PET-CT-CP model (PET/CT0)). Conclusions: Delta-radiomics and radiomics features extracted from baseline and follow-up PET/CT images could predict outcome in NSCLC patients treated with immunotherapy and identify patients who would benefit from this new standard. These data reinforce the rationale for the use of advanced image analysis of PET/CT scans to further improve personalized treatment management in advanced NSCLC. |
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| Language | English |
| Publishing date | 2022-11-30 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2527080-1 |
| ISSN | 2072-6694 |
| ISSN | 2072-6694 |
| DOI | 10.3390/cancers14235931 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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2022 Volume 304, Issue 1, Page(s) 123–125
Abstract: Online supplemental material is available for this article. ...
| Abstract | Online supplemental material is available for this article. |
|---|---|
| MeSH term(s) | COVID-19 ; Humans ; Radiology ; Radiology Department, Hospital ; Surveys and Questionnaires |
| Language | English |
| Publishing date | 2022-03-08 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 80324-8 |
| ISSN | 1527-1315 ; 0033-8419 |
| ISSN (online) | 1527-1315 |
| ISSN | 0033-8419 |
| DOI | 10.1148/radiol.212440 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Ue I Zs.106: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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