Gastrointestinal Stromal Tumor—Single-Center Experience with Review of the Literature

Borgaonkar, Vijay; Deshpande, Sushil; Borgaonkar, Viraj; Rarthod, Mukesh

doi:10.1007/s12262-013-0976-3

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…47 Yacob et al reviewed their experience of treating 150 patients of GIST at their centre 48 , while Borgaonkar et al shared their experience of successfully treating 15 such patients. 49 We experienced a good response to surgery followed by imatinib therapy in most of our patients.…”

Section: Indian Datamentioning

confidence: 79%

Gastrointestinal Stromal Tumor - Experience From A Tertiary Care Center

Biswas¹

2018

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Gastrointestinal stromal tumor(GIST) is an uncommon entity in clinical practice. Though It is the commonest mesenchymal smooth muscle tumor, it accounts for only <1% of all GI malignancies. Any part of gastrointestinal tract (GIT) may be involved. Stomach is the commonest site for this tumor. Other sites of GIT are also affected in this disease. Increasing awareness, newer diagnostic modalities and novel chemotherapeutic agents make the disease diagnosed earlier and successfully treated. Imatinib mesylate has changed the outcome of the disease .In Eastern part of India we have seen some cases over the years and expressed our observation here. Most of the patients were operated and later required Imatinib.

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Section: Indian Datamentioning

confidence: 79%

Gastrointestinal Stromal Tumor - Experience From A Tertiary Care Center

Biswas¹

2018

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“…Gastrointestinalni stromalni tumor (GIST) rijedak je i čini svega 1 % tumora u gastrointestinalnom traktu (GIT), no najčešći je mezenhimalni tumor tog područja [1][2][3][4][5][6] . Po svojim patohistološkim karakteristikama nalikuje drugim tumorima iz skupine mezenhimalnih tumora (lejomiom, lejomiosarkom, švanom, sinovijalni sarkom) pa je imunohistokemija neophodna za postavljanje dijagnoze 6 .…”

Section: Uvodunclassified

“…Oko 1/4 tumora malignog je potencijala, dok su preostali benigni ili su nesigurnog malignog potencijala 1,6 . GIST se u pacijenata klinički može manifestirati kao abdominalni bol i nelagoda, akutno/kronično krvarenje sa ili bez posljedične anemije, slabost, mučnina, povraćanje, a rijetko i opstruktivnim tegobama 1,3,4,6 . Zbog vrlo nespecifične prezentacije obično se otkriva slučajno endoskopski, tijekom operacije ili pri kompjutoriziranoj tomografiji 6 .…”

Section: Uvodunclassified

Review of gastrointestinal stromal tumors and contribution of dog1 immunohistochemical marker in diagnostics: A single tertiary centerb experience

et al. 2017

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Sažetak. Cilj: Prikazati patohistološko dijagnostičko iskustvo Kliničkog bolničkog centra (KBC)Rijeka u pacijenata s gastrointestinalnim stromalnim tumorom (GIST) dijagnosticiranim u razdoblju od 10 godina te pružiti pregled temeljnih karakteristika ovog mezenhimalnog tumora. Cilj je bio i prikazati osjetljivost DOG1 markera (engl. Discovered on GIST) te ga usporediti s osjetljivošću CD117 i vimentina. Materijali i metode: Iz baze podataka Zavoda za patologiju od 2005. do 2015. godine prikupljeni su podaci o 89 pacijenata s dijagnozom GIST-a. Podaci koje smo statistički analizirali obuhvaćali su dob, spol, lokalizaciju tumora, vrstu stanica (vretenaste ili epiteloidne), imunohistokemijske karakteristike te veličinu i mitotički indeks kao dva najvažnija parametra za određivanje prognostičke skupine. Rezultati: Medijan dobi iznosio je 64 godine, s rasponom od 17 do 93 godine. Značajna razlika u incidenciji među spolovima nije pronađena. Najčešća lokalizacija bio je želudac s postotkom od 48,3 %. Vretenastu morfologiju imalo je 84,3 % tumora, epiteloidnu 3.4 %, a miješanu (epiteloidno-vretenastu) 12,3 %. Podjelom GIST-ova u prognostičke skupine ustanovili smo da je 65,2 % tumora bilo benigno, 33,7 % maligno, a 1,1 % imalo je nesigurni maligni potencijal. Na uzorku od 25 tumora određivali smo osjetljivost imunohistokemijskih markera i dobili sljedeće rezultate: DOG1 imao je osjetljivost 100 %, CD117 88 %, a vimentin 60 %. Zaključci: DOG1 najosjetljiviji je imunohistokemijski marker korišten za GIST. Njegovo uvođenje u rutinsku imunohistokemijsku analizu pružilo je snažan doprinos u postavljanju dijagnoze. Prikazano iskustvo našeg centra moglo bi pružiti doprinos u napredovanju patološkodijagnostičke obrade GIST-ova na razini Republike Hrvatske.Ključne riječi: CD117 antigen; DOG1; gastrointestinalni stromalni tumori; imunohistokemija Abstract. Aim: To present the experience of Clinical Hospital Center (CHC) Rijeka, Department of Pathology in diagnosing gastrointestinal stromal tumors (GIST) in a 10-year period and to demonstrate consequential characteristics of this mesenchymal tumor. Also the aim was to present the sensitivity of DOG1 (Discovered on GIST) immunohistochemical marker, and to compare it with CD117 and vimentin results. Materials and methods: Searching the Pathology Department database, 89 GISTs were found in the period from 2005 to 2015. Epidemiologic and clinicopathological data: age, gender, dimension, localization, immunohistochemical charachteristics, also mitotic rate and malignant potential as two most important parameters for prognostic group estimation, were statistically analyzed. Results: Median age was 64, range from 17 to 93. 48.3 % of patients were male and 51.7 % were female. Most GISTs (48.3 %) were localized in stomach. Spindle cell morphology was present in 84.3 % GISTs, epitheloid in 3.4 % and mixed in 12.3 % tumors. According to the prognostic groups, malignant potential was assigned. The biggest portion, 65.2 % of tumors, were benign. Malignant potential was present

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“… 2 - 4 Therefore, it is crucial to differentiate gastric GISTs from other benign gastric GIMTs, such as schwannomas and leiomyomas. 5 …”

Section: Introductionmentioning

confidence: 99%

Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors

Lv,

Chen,

Huang

et al. 2024

Turkish Journal of Gastroenterology

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Background/Aims: Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors. The study investigated the efficacy of texture features extracted from endoscopic ultrasonography images to differentiate gastrointestinal stromal tumors from gastric mesenchymal tumors. Materials and Methods: The endoscopic ultrasonography examinations of 120 patients with confirmed gastric gastrointestinal stromal tumors, leiomyoma, or schwannoma were evaluated. Histology was considered the gold standard. Three feature combinations were extracted from endoscopic ultrasonography images of each lesion: 48 gray-level co-occurrence matrix-based features, 48 gray-level co-occurrence matrix-based features plus 3 global gray features, and 15 gray-gradient co-occurrence matrix-based features. Support vector machine classifiers were constructed by using feature combinations to diagnose gastric gastrointestinal stromal tumors. The area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were used to evaluate the diagnostic performance. The support vector machine model’s diagnostic performance was compared with the endoscopists. Results: The 3 feature combinations had better performance in differentiating gastrointestinal stromal tumors: gray-gradient co-occurrence matrix-based features yielded an area under the receiver operating characteristic curve of 0.90, which was significantly greater than an area under the receiver operating characteristic curve of 0.83 in gray-level co-occurrence matrix-based features and an area under the receiver operating characteristic curve of 0.84 in the texture features plus 3 global features. The support vector machine model (81.67% accuracy, 81.36% sensitivity, and 81.97% specificity) was also better than endoscopists (an average of 69.31% accuracy, 65.54% sensitivity, and 72.95% specificity) Conclusion: Texture features in computer-assisted endoscopic ultrasonography diagnosis are useful to differentiate gastrointestinal stromal tumors from benign gastric mesenchymal tumors and compare favorably with endoscopists. Support vector machine model using gray-gradient co-occurrence matrix-based texture features revealed the best diagnostic performance in diagnosing gastric gastrointestinal stromal tumors.

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Gastrointestinal Stromal Tumor—Single-Center Experience with Review of the Literature

Cited by 5 publications

References 7 publications

Gastrointestinal Stromal Tumor - Experience From A Tertiary Care Center

Gastrointestinal Stromal Tumor - Experience From A Tertiary Care Center

Review of gastrointestinal stromal tumors and contribution of dog1 immunohistochemical marker in diagnostics: A single tertiary centerb experience

Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors

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