Choline Transporter Immunohistochemistry

Kapur, Raj P.; Raess, Philipp W.; Hwang, Samuel T; Winter, Conrad

doi:10.1177/1093526617697060

Cited by 24 publications

(2 citation statements)

References 25 publications

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“…AChE histochemical staining has demonstrated hypertrophic submucosal plexuses and nerve fibers, which have been used as a useful ancillary diagnostic tool for the interpretation of suction biopsies and have gradually replaced conventional full-thickness biopsy at many institutions. [8,10,11] FFPE H&E stained section along with AChE is a perfect combination for making a conclusive diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Acetylcholinesterase histochemistry: A very useful technique in the diagnosis of Hirschsprung’s disease

et al. 2022

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Hirschsprung’s disease (HD) is a common congenital paediatric disorder. The gold standard for its diagnosis is the demonstration of the absence of ganglion cells on H&E stained sections from a spastic segment of the bowel, still at times; conclusive diagnosis of HD is difficult. This study was done to assess the accuracy of rapid Hematoxylin & Eosin (H&E) staining and AChE histochemistry in combination for the diagnosis of HD, especially in frozen section specimens. Samples from 36 clinically suspected HD cases were evaluated for the presence or absence of ganglion cells on H&E staining on both fresh-frozen and paraffin-embedded sections, whereas AChE staining was done on frozen sections only. Of the 36 cases of frozen section specimens from the spastic region of the colon, GCs were absent in 28 cases on H&E staining while positive staining patterns on AChE histochemistry were observed in 29 cases. Formalin-fixed paraffin-embedded sections showed the absence of GC on H&E staining in 28 cases. The sensitivity and specificity of frozen sections with rapid H&E were 77.78% and 81.82% while the sensitivity and specificity of AChE histochemistry were 80.56% and 81.82% respectively in the diagnosis of HD. Application of AChE histochemistry as an ancillary technique on frozen sections specimens of HD in combination with rapid H&E staining is very useful for definitive diagnosis of HD.

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Section: Discussionmentioning

confidence: 99%

Acetylcholinesterase histochemistry: A very useful technique in the diagnosis of Hirschsprung’s disease

et al. 2022

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“…The histological diagnosis usually requires surveying dozens of slides (and possible use of immunostains) in search of ganglion cells, making the diagnosis of HSCR only in their absence. This process requires a significant investment of time and effort [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners

Greenberg,

Samueli,

Farkash

et al. 2024

Diagn Pathol

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Background Differences in the preparation, staining and scanning of digital pathology slides create significant pre-analytic variability. Algorithm-assisted tools must be able to contend with this variability in order to be applicable in clinical practice. In a previous study, a decision support algorithm was developed to assist in the diagnosis of Hirschsprung's disease. In the current study, we tested the robustness of this algorithm while assessing for pre-analytic factors which may affect its performance. Methods The decision support algorithm was used on digital pathology slides obtained from four different medical centers (A-D) and scanned by three different scanner models (by Philips, Hamamatsu and 3DHISTECH). A total of 192 cases and 1782 slides were used in this study. RGB histograms were constructed to compare images from the various medical centers and scanner models and highlight the differences in color and contrast. Results The algorithm was able to correctly identify ganglion cells in 99.2% of cases, from all medical centers (All scanned by the Philips slide scanner) as well as 95.5% and 100% of the slides scanned by the 3DHISTECH and Hamamatsu brand slide scanners, respectively. The total error rate for center D was lower than the other medical centers (3.9% vs 7.1%, 10.8% and 6% for centers A-C, respectively), the vast majority of errors being false positives (3.45% vs 0.45% false negatives). The other medical centers showed a higher rate of false negatives in relation to false positives (6.81% vs 0.29%, 9.8% vs 1.2% and 5.37% vs 0.63% for centers A-C, respectively). The total error rates for the Philips, Hamamatsu and 3DHISTECH brand scanners were 3.9%, 3.2% and 9.8%, respectively. RGB histograms demonstrated significant differences in pixel value distribution between the four medical centers, as well as between the 3DHISTECH brand scanner when compared to the Philips and Hamamatsu brand scanners. Conclusions The results reported in this paper suggest that the algorithm-based decision support system has sufficient robustness to be applicable for clinical practice. In addition, the novel method used in its development – Hierarchial-Contexual Analysis (HCA) may be applicable to the development of algorithm-assisted tools in other diseases, for which available datasets are limited. Validation of any given algorithm-assisted support system should nonetheless include data from as many medical centers and scanner models as possible.

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Anatomic Pathology of Hirschsprung Disease

Kapur

2019

Hirschsprung's Disease and Allied Disorders

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Choline Transporter Immunohistochemistry

Cited by 24 publications

References 25 publications

Acetylcholinesterase histochemistry: A very useful technique in the diagnosis of Hirschsprung’s disease

Acetylcholinesterase histochemistry: A very useful technique in the diagnosis of Hirschsprung’s disease

Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners

Anatomic Pathology of Hirschsprung Disease

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