| Literature DB >> 35626371 |
Andreas Kirschbaum1, Jan Jonas2, Thomas M Surowiec3, Anika Pehl4, Nikolas Mirow5.
Abstract
BACKGROUND: As an unwanted side effect, lateral thermal expansion in bipolar tissue sealing may lead to collateral tissue damage.Entities:
Keywords: bipolar sealing; lateral thermal spread; thermal necrosis; thermography
Year: 2022 PMID: 35626371 PMCID: PMC9141216 DOI: 10.3390/diagnostics12051217
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1(A): Experimental setup, with the position of the thermal camera towards the sealed vessel (B): Example of a measurement by thermal camera (own pictures).
Figure 2Example of a temperature curve, demonstrating the different zones for necrosis and potential thermal damage (print from the MATLAB program).
Figure 3(A) Vessel just sealed by marSeal 5 plus (B) Vessel sealed by BiCision (HE staining) (magnification 4.5×).
Overview of the expansion of the critical zone, the necrosis zone, the height of the temperature at the end of the necrosis zone, and the indices (n = 15 per group) for the instruments marSeal® 5 plus and BiCision®.
| marSeal® | Critical Zone above (µm) | Necrosis Zone (µm) | Frontier Temperature (°C) | Rilate |
|---|---|---|---|---|
| 1 | 2070 | 421.9 | 57.5 | 20.3 |
| 2 | 2830 | 442.6 | 66.5 | 15.6 |
| 3 | 2630 | 439.7 | 66.0 | 16.7 |
| 4 | 2570 | 535.3 | 68.7 | 20.8 |
| 5 | 2660 | 461.5 | 64.7 | 17.3 |
| 6 | 1900 | 285.7 | 63.5 | 15.0 |
| 7 | 1360 | 327.8 | 59.4 | 24.1 |
| 8 | 1620 | 385.1 | 63.0 | 23.7 |
| 9 | 2500 | 316.2 | 71.3 | 12.6 |
| 10 | 2630 | 373.5 | 67.5 | 14.2 |
| 11 | 1830 | 486.8 | 68.3 | 26.6 |
| 12 | 2050 | 521.7 | 58.2 | 25.4 |
| 13 | 3310 | 492.8 | 64.7 | 15.7 |
| 14 | 2290 | 374.6 | 70.1 | 16.3 |
| 15 | 2470 | 322.8 | 64.6 | 13.1 |
| mean | 2315 | 412.5 | 64.93 | 17.8 |
| SD | 509.2 | 79.0 | 4.1 | 4.6 |
|
|
|
|
| |
| 1 | 1990 | 416.2 | 59.6 | 20.9 |
| 2 | 1580 | 497.6 | 65.1 | 31.5 |
| 3 | 1540 | 385.9 | 63.1 | 25.0 |
| 4 | 1590 | 562.2 | 60.7 | 35.4 |
| 5 | 1220 | 606.8 | 57.9 | 49.7 |
| 6 | 1590 | 384.4 | 61.3 | 24.1 |
| 7 | 2030 | 522.7 | 66.8 | 25.7 |
| 8 | 1430 | 494.5 | 62.1 | 34.5 |
| 9 | 1980 | 332.6 | 67.5 | 16.8 |
| 10 | 1660 | 331.7 | 62.6 | 19.9 |
| 11 | 2480 | 407.1 | 70.5 | 16.4 |
| 12 | 1330 | 514.4 | 59.9 | 38.6 |
| 13 | 1520 | 373.2 | 64.6 | 24.5 |
| 14 | 2010 | 295.7 | 65.8 | 14.7 |
| 15 | 1550 | 275.6 | 63.8 | 17.8 |
| mean |
|
|
|
|
| SD |
|
|
|
|
|
|
|
|
|
|
| 1 | 1600 | 886.6 | 56.5 | 55.4 |
| 2 | 1480 | 733.8 | 56.0 | 49.6 |
| 3 | 2750 | 956.8 | 65.2 | 34.8 |
| 4 | 1950 | 654.8 | 58.7 | 33.6 |
| 5 | 1760 | 479.1 | 57.9 | 27.2 |
| 6 | 1650 | 518.4 | 57.3 | 31.4 |
| 7 | 2600 | 497.9 | 64.0 | 19.2 |
| 8 | 1560 | 654.8 | 60.6 | 42.0 |
| 9 | 2270 | 768.1 | 60.9 | 33.8 |
| 10 | 2340 | 597.0 | 61.7 | 25.5 |
| 11 | 1730 | 499.5 | 59.3 | 28.9 |
| 12 | 2970 | 567.0 | 64.6 | 19.0 |
| 13 | 1400 | 582.9 | 55.4 | 41.6 |
| 14 | 3090 | 811.1 | 70.6 | 26.2 |
| 15 | 1330 | 431.5 | 57.6 | 33.4 |
| mean | 2032 | 642.6 | 60.42 | 31.62 |
| SD | 592.4 | 158.2 | 4.2 | 10.3 |
|
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|
|
| |
| 1 | 1270 | 694.7 | 52 | 54.7 |
| 2 | 1440 | 688.3 | 56.6 | 47.8 |
| 3 | 2010 | 973.6 | 51.2 | 48.4 |
| 4 | 730 | 618.2 | 52.1 | 84.7 |
| 5 | 720 | 535.4 | 52 | 74.4 |
| 6 | 1530 | 542.8 | 59.8 | 34.5 |
| 7 | 1490 | 596.4 | 64.7 | 40.0 |
| 8 | 820 | 603.1 | 54.2 | 73.5 |
| 9 | 1280 | 696.9 | 54.7 | 54.4 |
| 10 | 920 | 556.8 | 53.8 | 60.5 |
| 11 | 820 | 592.8 | 53.3 | 72.3 |
| 12 | 890 | 588.5 | 53 | 66.1 |
| 13 | 870 | 748.8 | 51.3 | 86.1 |
| 14 | 1550 | 682.3 | 62.4 | 44.0 |
| 15 | 1390 | 561.3 | 58.1 | 40.4 |
| mean | 1182 | 645.3 | 55.28 | 54.59 |
| SD | 386.9 | 111.9 | 4.1 | 16.8 |
SD = Standard Deviation.