Placenta: Difference between revisions

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→Gross processing: Significant
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[[File:Gross pathology of severe intervillositis.jpg|thumb|190px|center|Placental tissue after cutting, here showing severe intervillositis, with dark red and soggy tissue.]]
[[File:Gross pathology of severe intervillositis.jpg|thumb|190px|center|Placental tissue after cutting, here showing severe intervillositis, with dark red and soggy tissue.]]
*'''Palpate''' the parencyhmal sections for areas of induration.
*'''Palpate''' the parencyhmal sections for areas of induration.
*Note the '''color''' of the parenchyma and describe any pale areas, cysts, infarcts (estimate total amount of infarcted tissue), thrombi, increased fibrin and calcifications
*Note the '''color''' of the parenchyma and describe any pale areas, cysts, thrombi, increased fibrin, calcifications and infarcts. For possible infarcts, estimate the total amount of infarcted tissue as a percentage of the placental volume. Infarction is clinically significant if it involves at least 5-10% of the placental volume.
[[File:Gross pathology of placental disorders.jpg|thumb|520px|center|Gross pathology of placental disorders.<ref name="ChenZhang2020">{{cite journal|last1=Chen|first1=Yukun|last2=Zhang|first2=Zhuomin|last3=Wu|first3=Chenyan|last4=Davaasuren|first4=Dolzodmaa|last5=Goldstein|first5=Jeffery A.|last6=Gernand|first6=Alison D.|last7=Wang|first7=James Z.|title=AI-PLAX: AI-based placental assessment and examination using photos|journal=Computerized Medical Imaging and Graphics|volume=84|year=2020|pages=101744|issn=08956111|doi=10.1016/j.compmedimag.2020.101744}}<br>- Fig 5- available via license: Creative Commons Attribution 4.0 International.</ref>]]
[[File:Gross pathology of placental disorders.jpg|thumb|520px|center|Gross pathology of placental disorders.<ref name="ChenZhang2020">{{cite journal|last1=Chen|first1=Yukun|last2=Zhang|first2=Zhuomin|last3=Wu|first3=Chenyan|last4=Davaasuren|first4=Dolzodmaa|last5=Goldstein|first5=Jeffery A.|last6=Gernand|first6=Alison D.|last7=Wang|first7=James Z.|title=AI-PLAX: AI-based placental assessment and examination using photos|journal=Computerized Medical Imaging and Graphics|volume=84|year=2020|pages=101744|issn=08956111|doi=10.1016/j.compmedimag.2020.101744}}<br>- Fig 5- available via license: Creative Commons Attribution 4.0 International.</ref>]]


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