Kritsana Sutthisri
Bangkok Hospital
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Featured researches published by Kritsana Sutthisri.
THE BANGKOK MEDICAL JOURNAL | 2017
Sawang Saenghirunvattana; Rabih Bechara; Chao Saenghirunvattana; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangpro
RATIONALE: Clinical physicians commonly find pulmonary nodules difficult tointerpret when these are found in radiographic images. This finding requires specialskills to use the correct diagnostic method to properly distinguish between malignantand benign nodules. Prompt identification of a nodule or tumor is necessary so treatmentstrategies essential for prognosis can be implemented. Over the past few years, the MayoClinic lung cancer probability formula has been validated by several researchers todetermine if this equation is an effective tool in helping to identify lung cancer. Thepurpose of this study is to verify whether this formula is applicable to patients living inAsian countries where tuberculosis (TB) is prevalent. MATERIALS AND METHODS: Between 2012 and 2014, we retrospectivelycollected and reviewed the medical records of 54 patients in Bangkok Hospital MedicalCenter who tested positive with lung nodules or mass, measuring 4.5- 88 mm in diameteras reported from their chest computed tomography (CT) scan. Data gathered included:patient age, gender (male or female), race (Asian or Non-Asian), smoking history(smoker, previous smoker or never having smoked), extrathoracic cancer for more than5 years prior to the consultation, lung nodule or tumor location (upper, middle, lower),spiculated morphology and final definite tissue diagnosis as collected through Fiberopticbronchoscopy (FOB), Endobronchial Ultrasound (EBUS), Electromagnetic NavigationBronchoscopy (ENB) and Video Assisted Thoracoscopic Surgery (VATS). We evaluatedthe accuracy of the Mayo Clinic formula for estimating the probability of lung cancerby computing then comparing the lung cancer probability result versus the final diagnosis. RESULTS: For the 54 patients with a confirmed final diagnosis, lung cancer was foundin 16 patients, tuberculosis with non-tuberculous mycobacteria (NTM) infection in 24patients, 11 cases were diagnosed with lung cancer with tuberculosis and 3 casesappeared to be a benign tumor. In the first category, in patients diagnosed with lungcancer, the result from the Mayo Clinic formula was 74.7%. In Category 2 (TB andNTM infection), lung cancer probability was 27.8%, in category 3 (lung cancer and TB)the probability was 76% and in category 4 (benign) the probability was 17.9%. CONCLUSION: The Mayo Clinic formula is an effective and useful tool in predictinglung cancer probability even among Asian communities where there is high incidenceof tuberculosis. However, we must also consider that this formula though beneficial,should not be the sole basis of diagnosis when screening for lung cancer.
THE BANGKOK MEDICAL JOURNAL | 2016
Sawang Saenghirunvattana; Noriaki Kurimoto; Chokchai Suwanakijboriharn; Chittisak Napairee; Vitoon Pitiguagool; Chao Saenghirunvattana; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangproh
OBJECTIVE: To determine whether the American College of Chest Physicians’ lungnodule screening recommendation is an effective tool in diagnosing Asian patientswith pulmonary nodules. MATERIALS AND METHODS: This is a retrospective study of 36 patients from2012-2014 that were identified to have had pulmonary nodules through chest CT scanresults. The data collected from patients were evaluated then illustrated to find out thenature of lung nodules among Asian population. The pulmonary nodule is based onsize alone regardless of other morphology for instance border, calcification etc.RESULTS: Out of 36 patients, 23 were diagnosed with tuberculosis (TB), 19 testedpositive for lung malignancy, 5 cases of TB co existing with cancer and 6 cases ofnon-tuberculous mycobacterium (NTM) infection. The types of lung cancer foundwere 7% small cell lung cancer, 7% squamous cell lung cancer and 86% adenocarcinoma.Nodule sizes were classified into 3 groups according to measurement. 4.5-11 mm (100%TB and 0% cancer), 12-20 mm (60% TB and 40% cancer) and 21-88 mm (52% TBand 48% cancer). CONCLUSION: Lung nodule evaluation among Asian patients requires specific guidelinesthat consider the high prevalence of tuberculosis and other infections. The statisticalresults from our study proves that the American College of Chest Physicians’ lung nodulescreening recommendation, if practiced by Asian physicians, should be revised accordingto the current health status and presence of other diseases of the Asian population.
THE BANGKOK MEDICAL JOURNAL | 2013
Sawang Saenghirunvattana; Chanawat Tesavibul; Rungsima Saenghirunvattana; Cecille Lorraine Castillon; Kritsana Sutthisri; Pongsepeera Suwangool
The Journal of respiratory diseases | 2014
Sawang Saenghirunvattana; Vitoon Pitiguagool; Chokchai Suwanakijboriharn; Pakorn Pupipat; Bhudsadee Saenghirunvattana; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangproh; Wannipa Kodkaew; Assarin Inkum; Vimonsiri Matitopanum
THE BANGKOK MEDICAL JOURNAL | 2016
Sawang Saenghirunvattana; Chao Saenghirunvattana; Chittisak Napairee; Pakorn Pupipat; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangpro
Chest | 2016
Sawang Saenghirunvattana; Chao Saenghirunvattana; Kritsana Sutthisri; Maria Christina Gonzales; Chitchamai Siangproh
THE BANGKOK MEDICAL JOURNAL | 2015
Sawang Saenghirunvattana; Chittisak Napairee; Panthep Suttinont; Chao Saenghirunvattana; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangpro
THE BANGKOK MEDICAL JOURNAL | 2015
Sawang Saenghirunvattana; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangpro; Pat Saenghirunvattana
THE BANGKOK MEDICAL JOURNAL | 2014
Sawang Saenghirunvattana; Cheewantorn Boonpeng; Thomas Lodi; Chittisak Napairee; Supada Chusaktrakul; Cecille Lorraine Castillon; Kritsana Sutthisri; Chitchamai Siangproh; Maria Christina Gonzales
THE BANGKOK MEDICAL JOURNAL | 2014
Sawang Saenghirunvattana; Vitoon Pitiguagool; Chokchai Suwanakijboriharn; Pakorn Pupipat; Maria Christina Gonzales; Kritsana Sutthisri; Chitchamai Siangproh; Wannipa Kodkaew; Assarin Inkum; Vimonsiri Matitopanum