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  1. Article ; Online: Computational analysis of effects of clot length on Acute ischemic stroke recanalization under different cyclic aspiration loading conditions.

    Patki, Priyanka / Simon, Scott / Manning, Keefe B / Costanzo, Francesco

    International journal for numerical methods in biomedical engineering

    2022  Volume 39, Issue 2, Page(s) e3667

    Abstract: Acute ischemic stroke, the second leading cause of death worldwide, results from occlusion of a cerebral artery by a blood clot. Application of cyclic aspiration using an aspiration catheter is a current therapy for the removal of lodged clots. In this ... ...

    Abstract Acute ischemic stroke, the second leading cause of death worldwide, results from occlusion of a cerebral artery by a blood clot. Application of cyclic aspiration using an aspiration catheter is a current therapy for the removal of lodged clots. In this study, we perform finite element simulations to analyze deformation of long clots, having length to radius ratio of 2-10, which corresponds to clot-length of 2.85-14.25 mm, under peak-to-peak cyclic aspiration pressures of 10-50 mmHg, and frequencies of 0.5, 1, and 2 Hz. Our computational system comprises of a nonlinear viscoelastic solid clot, a hyperelastic artery, and a nonlinear viscoelastic cohesive zone, the latter modeling the clot-artery interface. We observe that clots having length-to-radius ratio approximately greater than two separate from the inner arterial surface somewhere between the axial and distal ends, irrespective of the cyclic aspiration loading conditions. The stress distribution within the clot shows large tensile stresses in the clot interior, indicating the possibility of simultaneous fragmentation of the clot. Thus, this study shows us the various failure mechanisms simultaneously present in the clot during cyclic aspiration. Similarly, the stress distribution within the artery implies a possibility of endothelial damage to the arterial wall near the end where the aspiration pressure is applied. This framework provides a foundation for further investigation to clot fracture and adhesion characterization.
    MeSH term(s) Humans ; Ischemic Stroke ; Thrombectomy/methods ; Thrombosis ; Arteries ; Stroke/therapy ; Treatment Outcome
    Language English
    Publishing date 2022-12-20
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2540968-2
    ISSN 2040-7947 ; 2040-7939
    ISSN (online) 2040-7947
    ISSN 2040-7939
    DOI 10.1002/cnm.3667
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Materials swelling revealed through automated semantic segmentation of cavities in electron microscopy images.

    Jacobs, Ryan / Patki, Priyam / Lynch, Matthew J / Chen, Steven / Morgan, Dane / Field, Kevin G

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 5178

    Abstract: Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice is for ... ...

    Abstract Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice is for radiation-induced defects in electron microscopy images of alloys to be manually quantified by domain-expert researchers. Here, we employ an end-to-end deep learning approach using the Mask Regional Convolutional Neural Network (Mask R-CNN) model to detect and quantify nanoscale cavities in irradiated alloys. We have assembled a database of labeled cavity images which includes 400 images, > 34 k discrete cavities, and numerous alloy compositions and irradiation conditions. We have evaluated both statistical (precision, recall, and F1 scores) and materials property-centric (cavity size, density, and swelling) metrics of model performance, and performed targeted analysis of materials swelling assessments. We find our model gives assessments of material swelling with an average (standard deviation) swelling mean absolute error based on random leave-out cross-validation of 0.30 (0.03) percent swelling. This result demonstrates our approach can accurately provide swelling metrics on a per-image and per-condition basis, which can provide helpful insight into material design (e.g., alloy refinement) and impact of service conditions (e.g., temperature, irradiation dose) on swelling. Finally, we find there are cases of test images with poor statistical metrics, but small errors in swelling, pointing to the need for moving beyond traditional classification-based metrics to evaluate object detection models in the context of materials domain applications.
    Language English
    Publishing date 2023-03-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-32454-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: A mixture theory-based finite element formulation for the study of biodegradation of poroelastic scaffolds

    Patki, Priyanka / Costanzo, Francesco

    2019  

    Abstract: We derive a mixture theory-based mathematical model of the degradation of a poroelastic solid immersed in a fluid bath. The evolution of the solid's mechanical and transport properties are also modeled. The inspiration for the model is the study of the ... ...

    Abstract We derive a mixture theory-based mathematical model of the degradation of a poroelastic solid immersed in a fluid bath. The evolution of the solid's mechanical and transport properties are also modeled. The inspiration for the model is the study of the temporal evolution of biodegradable Tissue Engineered Nerve Guides (TENGs), which are surgical implants supporting the alignment and re-growth of damaged nerves. The model comprises of the degrading solid, the degradation reaction products, and the fluid in which the solid is immersed. The weak formulation of the partial differential equations (PDEs) so derived is numerically implemented using a Finite Element Method (FEM). The numerical model is studied for stability and convergence rates using the Method of Manufactured Solutions.
    Keywords Physics - Biological Physics ; Computer Science - Computational Engineering ; Finance ; and Science ; Physics - Computational Physics
    Publishing date 2019-11-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Use of partial drying and freezing pre-treatments for development of vacuum fried papaya (Carica papaya L.) chips

    Pandey, A. K / Kumar, Sunny / Ravi, N / Chauhan, O. P / Patki, P. E

    Journal of food science and technology. 2020 June, v. 57, no. 6

    2020  

    Abstract: The study reveals effect of pre-treatments, i.e., partial drying (PD), partial drying + freezing (PDF) and freezing (F) on physico-chemical, structural and sensory quality of vacuum fried papaya chips (100 °C for 28 min at 13.33 kPa). Pre-treatments ... ...

    Abstract The study reveals effect of pre-treatments, i.e., partial drying (PD), partial drying + freezing (PDF) and freezing (F) on physico-chemical, structural and sensory quality of vacuum fried papaya chips (100 °C for 28 min at 13.33 kPa). Pre-treatments significantly (p < 0.05) influenced the quality parameters of vacuum fried papaya chips. Partial drying pre-treated sample showed significantly (p < 0.05) higher reduction in oil uptake, i.e., 19.61% (d.b.) besides retaining significantly (p < 0.05) higher total phenolics content (394.07 mg/100 g gallic acid equivalent) as compared to other samples. Ascorbic acid content was retained significantly (p < 0.05) high in untreated control samples (209.81 mg/100 g). Freezing pre-treatment was found better in retaining total flavonoids, total carotenoids and antioxidant activity. The SEM micrographs of papaya chips showed dense and shriveled structure due to partial drying pre-treatment, however, more porous structure was observed in freezing pre-treated sample as compared to control. Freezing pre-treated samples were also rated high on hedonic scale for their sensory parameters, i.e., colour, crispness, taste, mouth feel, appearance and overall acceptability, which were in agreement with instrumental CIE colour values, firmness and microstructural characteristics of samples. The percent moisture, fat, protein, total carbohydrate, and ash content of freezing pre-treated vacuum fried papaya chips was found to be 1.51 ± 0.13%, 23.68 ± 0.12%, 3.42 ± 0.14%, 67.64 ± 1.78% and 3.75 ± 0.08%, respectively.
    Keywords Carica papaya ; antioxidant activity ; ascorbic acid ; ash content ; carotenoids ; color ; drying ; firmness ; flavonoids ; freezing ; gallic acid ; hardness ; hedonic scales ; mouthfeel ; oils ; scanning electron microscopy ; taste
    Language English
    Dates of publication 2020-06
    Size p. 2310-2320.
    Publishing place Springer India
    Document type Article
    ZDB-ID 242498-8
    ISSN 0975-8402 ; 0022-1155
    ISSN (online) 0975-8402
    ISSN 0022-1155
    DOI 10.1007/s13197-020-04269-w
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Cystoscopic removal of a JJ stent using a suture 'lasso'.

    Patki, Prasad

    BJU international

    2006  Volume 97, Issue 2, Page(s) 414

    MeSH term(s) Cystoscopy/methods ; Device Removal/methods ; Equipment Design ; Humans ; Stents ; Suture Techniques ; Sutures
    Language English
    Publishing date 2006-02
    Publishing country England
    Document type Comment ; Letter
    ZDB-ID 1462191-5
    ISSN 1464-410X ; 1464-4096 ; 1358-8672
    ISSN (online) 1464-410X
    ISSN 1464-4096 ; 1358-8672
    DOI 10.1111/j.1464-410X.2006.06081_3.x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Materials Swelling Revealed Through Automated Semantic Segmentation of Cavities in Electron Microscopy Images

    Jacobs, Ryan / Patki, Priyam / Lynch, Matthew / Chen, Steven / Morgan, Dane / Field, Kevin G.

    2022  

    Abstract: Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice is for ... ...

    Abstract Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice is for radiation-induced defects in electron microscopy images of alloys to be manually quantified by domain-expert researchers. Here, we employ an end-to-end deep learning approach using the Mask Regional Convolutional Neural Network (Mask R-CNN) model to detect and quantify nanoscale cavities in irradiated alloys. We have assembled the largest database of labeled cavity images to date, which includes 400 images, >34k discrete cavities, and numerous alloy compositions and irradiation conditions. We have evaluated both statistical (precision, recall, and F1 scores) and materials property-centric (cavity size, density, and swelling) metrics of model performance, and performed in-depth analysis of materials swelling assessments. We find our model gives assessments of material swelling with an average (standard deviation) swelling mean absolute error based on random leave-out cross-validation of 0.30 (0.03) percent swelling. This result demonstrates our approach can accurately provide swelling metrics on a per-image and per-condition basis, which can provide helpful insight into material design (e.g., alloy refinement) and impact of service conditions (e.g., temperature, irradiation dose) on swelling. Finally, we find there are cases of test images with poor statistical metrics, but small errors in swelling, pointing to the need for moving beyond traditional classification-based metrics to evaluate object detection models in the context of materials domain applications.
    Keywords Condensed Matter - Materials Science
    Subject code 669
    Publishing date 2022-08-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Use of partial drying and freezing pre-treatments for development of vacuum fried papaya (

    Pandey, A K / Kumar, Sunny / Ravi, N / Chauhan, O P / Patki, P E

    Journal of food science and technology

    2020  Volume 57, Issue 6, Page(s) 2310–2320

    Abstract: The study reveals effect of pre-treatments, i.e., partial drying (PD), partial drying + freezing (PDF) and freezing (F) on physico-chemical, structural and sensory quality of vacuum fried papaya chips (100 °C for 28 min at 13.33 kPa). Pre-treatments ... ...

    Abstract The study reveals effect of pre-treatments, i.e., partial drying (PD), partial drying + freezing (PDF) and freezing (F) on physico-chemical, structural and sensory quality of vacuum fried papaya chips (100 °C for 28 min at 13.33 kPa). Pre-treatments significantly (
    Language English
    Publishing date 2020-01-28
    Publishing country India
    Document type Journal Article
    ZDB-ID 242498-8
    ISSN 0975-8402 ; 0022-1155
    ISSN (online) 0975-8402
    ISSN 0022-1155
    DOI 10.1007/s13197-020-04269-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams.

    Patki, Siddhant / Nathan, Arjun / Lyness, Craig / Nadarajah, Premala / Sevastru, Stefan / Mahrous, Ahmed / De-Silva, Pedro / Shoniwa, Angeline / Undre, Shabnam / Patki, Prasad

    Journal of robotic surgery

    2023  Volume 17, Issue 5, Page(s) 2019–2025

    Abstract: Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery, can be challenging. We aimed to present a full immersion simulation module to train robotic surgical teams to manage a crisis scenario, enhance teamwork, ...

    Abstract Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery, can be challenging. We aimed to present a full immersion simulation module to train robotic surgical teams to manage a crisis scenario, enhance teamwork, establish clear lines of communication, improve coordination and speed of response. Start time of cardiopulmonary resuscitation (CPR), first defibrillator shock and robotic de-docking time from the first 'cardiac arrest call' were recorded. Observational Teamwork Assessment for Surgery (OTAS) scores were used in control and test simulations to assess performance along with a participant survey. Repeat scenarios and assessment were conducted at a 6-month interval for the same team to validate knowledge retention and an additional scenario was run with a new anaesthetic team to validate modular design. OTAS scores improved across all specialty teams after training with emergency algorithm and at retention validity re-test (p = 0.0181; p = 0.0063). There was an overall reduction in time to CPR (101-48 s), first defibrillator shock (> 302 s to 86 s) and robot de dock time (86-25 s) Improvement remained constant at retention validity re-test. Replacing the anaesthetic team showed improvement in time to CPR, first shock and robotic de-dock times and did not affect OTAS scores (p = 0.1588). The module was rated highly for realism and crisis training by all teams. This high-fidelity simulation training module is realistic and feasible to deliver. Its modular design allows for efficient assessment and feedback, optimising staff training time and making it a valuable addition to robotic team training.
    MeSH term(s) Humans ; Robotic Surgical Procedures/methods ; Robotics ; Patient Care Team ; Heart Arrest/surgery ; Simulation Training ; Clinical Competence
    Language English
    Publishing date 2023-05-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2268283-1
    ISSN 1863-2491 ; 1863-2483
    ISSN (online) 1863-2491
    ISSN 1863-2483
    DOI 10.1007/s11701-023-01612-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Not-so-simple nephrectomy: Comparative analysis of radical and simple nephrectomy in a high-volume tertiary referral center.

    Papadopoulou, Ariadni / Campain, Nicholas / Abu-Ghanem, Yasmin / Shanmugathas, Nimlan / Poullas, Marios / Mumtaz, Faiz / Barod, Ravi / Tran, Maxine / Bex, Axel / Patki, Prasad

    International journal of urology : official journal of the Japanese Urological Association

    2023  Volume 31, Issue 2, Page(s) 160–168

    Abstract: Objectives: Simple nephrectomies can be challenging with significant morbidity. To prove the hypothesis of "not-so-simple" nephrectomy, we compared demographics, perioperative outcomes, and complications between simple and radical nephrectomy in a ... ...

    Abstract Objectives: Simple nephrectomies can be challenging with significant morbidity. To prove the hypothesis of "not-so-simple" nephrectomy, we compared demographics, perioperative outcomes, and complications between simple and radical nephrectomy in a tertiary referral center.
    Methods: We analyzed 473 consecutive radical nephrectomies (January 2018-October 2020) and simple nephrectomies (January 2016-October 2020). Univariate and multivariate analysis of perioperative outcomes utilized the Mann-Whitney U test, Chi-squared test, Mantel-Haenszel test of trend, and multiple linear regression. Radical nephrectomies were classified in cT1, cT2a, and cT2b-T3 subgroups and compared to simple nephrectomies. Minimally invasive and open techniques were compared between the two groups. Infected versus non-infected simple nephrectomies were compared.
    Results: A total of 344 radical and 129 simple nephrectomies were included. Simple nephrectomy was an independent predictor of increased operative time (p = 0.001), length of stay (p = 0.049), and postoperative complications (p < 0.001). Simple nephrectomies had higher operative time (p < 0.001), length of stay (p = 0.014), and postoperative morbidity (p < 0.001) than cT1 radical nephrectomies and significantly more Clavien 1-2 complications than cT2a radical nephrectomies (p = 0.001). The trend was similar in minimally invasive operations. However, conversion to open rates was not significantly different. Infected simple nephrectomies had increased operative time (p < 0.001), length of stay (p = 0.005), blood loss (p = 0.016), and intensive care stay (p = 0.019).
    Conclusions: Patients undergoing simple nephrectomy experienced increased operative time and morbidity. Simple nephrectomy carries higher morbidity than radical nephrectomy in tumors ≤10 cm. Robotic simple nephrectomies may reduce open conversion rates. Postoperative intensive care and enhanced recovery may be essential in simple nephrectomy planning with infected pathology.
    MeSH term(s) Humans ; Tertiary Care Centers ; Length of Stay ; Treatment Outcome ; Kidney Neoplasms/surgery ; Nephrectomy/adverse effects ; Nephrectomy/methods ; Retrospective Studies ; Laparoscopy/adverse effects ; Laparoscopy/methods
    Language English
    Publishing date 2023-11-06
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1328401-0
    ISSN 1442-2042 ; 0919-8172
    ISSN (online) 1442-2042
    ISSN 0919-8172
    DOI 10.1111/iju.15330
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Epitheloid Angiomyolipomas of the Kidney: Rare Renal Tumors Associated With Poor Prognoses.

    Aquilina, Julian / Neves, Joana B / El-Sheikh, Soha / Tran-Dang, My-Anh / Walkden, Miles / Barod, Ravi / Patki, Prasad / Mumtaz, Faiz / Bex, Axel / Tran, Maxine G B

    Urology

    2023  Volume 176, Page(s) 102–105

    Abstract: Objective: To demonstrate the clinical spectrum and challenges associated with clinical management of epitheloid angiomyolipomas (eAML).: Methods: We retrospectively reviewed the surgical database of a high-volume tertiary kidney cancer center from ... ...

    Abstract Objective: To demonstrate the clinical spectrum and challenges associated with clinical management of epitheloid angiomyolipomas (eAML).
    Methods: We retrospectively reviewed the surgical database of a high-volume tertiary kidney cancer center from 2015 to 2020 to identify cases with a final histological diagnosis of eAML. Descriptive analysis of all cases was conducted.
    Results: Five surgical cases of eAMLs were identified. Two of which have had no tumor recurrence since surgery, and three patients passed away due to disease progression.
    Conclusion: eAML are rare renal tumors which the World Health Organisation (5th Edition, 2022) and International Classification of Diseases for Oncology classify as having unspecified, borderline, or uncertain behavior. Here, we report that can also demonstrate aggressive behavior with fatal consequences. Post-operative follow-up should be recommended for all, with shorter intervals for patients with poor prognostic factors.
    MeSH term(s) Humans ; Angiomyolipoma/complications ; Angiomyolipoma/surgery ; Angiomyolipoma/diagnosis ; Retrospective Studies ; Kidney Neoplasms/complications ; Kidney Neoplasms/surgery ; Kidney Neoplasms/diagnosis ; Kidney/pathology ; Prognosis
    Language English
    Publishing date 2023-04-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 192062-5
    ISSN 1527-9995 ; 0090-4295
    ISSN (online) 1527-9995
    ISSN 0090-4295
    DOI 10.1016/j.urology.2023.03.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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