cristian(ibarra(duprat int nodulo&pulmonar& · biopsia número hamartoma 5 granuloma 1...
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Definiciones
Nodulo Pulmonar Solitario(NPS) Lesión dentro y rodeada por parenquima
pulmonar. Menos de 3 cm NO asociado a atelectasia, crecimiento del
hilio o derrame pleural
Masa Lesión Mayor de 3 cm
Definiciones NODULO? Múltiples NODULOS NODULOS NO completamente rodeados de pulmón
aireado Nódulos Subcentimétricos: Nodulos ≤ 8 mm esféricos
o NO esféricos Patrón de Opacificación:
VIDRIO (NO SOLIDOS) SOLIDOS MIXTOS (VIDRIO y SOLIDO)
Causas de NPS
• Neoplasicas – Carcinoma(Broncogenico – Tumor(Carcinoide – Metastasis – Sarcoma(Primario(
Pulmonar – Plasmocitoma
• Neoplasicas(benignas – Hamartoma – Condroma – Lipoma – Leiomyoma – Hemangioma
Vasculares Infarto((organización) Malformación(AV
Enfermedad(del(Tejido(Conectivo Nódulo(Reumatoideo Granulomatosis(Wegener
Causas de NPS
Inflamatorias Granuloma
TBC Histoplasmosis Coccidiomycosis Cryptococcosis Nocardiosis Dirofilaria immitis
Quiste Hidatidico Mycetoma Neumonía en Organización Pseudotumor Inflamatorio Neumonia Redonda
• Otros – Linfonodo(Intrapulmonar – Amyloidosis – Silicosis – Neumonia(Lipoidea – Cuerpo(extraño – Hematopoiesis(Extramedular – Atelectasis(redonda – Impactación(Mucoide – Opacidades(artificiales
• Fluidos(en(la(cisura • Opacidades(de(la(pared(torácica • Artefacto
Etiologias MáS comunes de NPS
• Malignas – Cancer(Pulmonar(primario – Carcinoide – Metastasis
• Melanoma,(sarcoma,(colon,(mama,(riñon,(testicular • Múltiples(nódulos
• Benignas – Granulomas(Infeccioso
• Mycobacteria,(Histoplasmosis,(coccidiomycosis.( – Hamartomas
Anatomía(Patológica(en(70(pacientes(con(Nódulos(pulmonares(sometidos(a(resección(durante(el(año(2010
Biopsia Número
Adenocarcinom(/(BAC 3((5.3%)
ADENOCARCINOMA 17((30.3%)
CARCINOMA(ESCAMOSO 3((5.3%)
CARCINOIDE 4((7.1%)
METASTASIS 29((51.8%)
TOTAL 56((100%)
Biopsia Número
HAMARTOMA 5
GRANULOMA 1
TUBERCULOMA 1
SILICOMA 2
Neumonía(en(Organización 1
Nódulo(Eosiniofílico 1
AMILOIDOMA 1
Fibrosis 1
Neumonía(descamativa 1
TOTAL 14
Evaluación NPS
Edad A mayor edad mayor probabilidad de
Malignidad 3% 35 – 39 años 15% 40 – 49 años 43% 50 – 59 años 50% ≥ 60 años
Factores de Riesgo Tabaquismo, Asbestosis, historia familiar Historia de cáncer previo o concomitante
CASOS%CLINICO
IM(73(AÑOS Tabaquismo(suspendido(hace(10(años TABACO(previo(25(paq/año Cx(resección(Cáncer(Pulmonar(T1aN0M0(LII TBC((f);(NAC((f);(EPD((f)
(Control(Tomografico(2009(Nódulo(Pulmonar(……..(
using the available information, including the patient’s clinical riskfactors and CT characteristics.
Clinical Risk Factors
The clinical assessment includes the patient’s history and phys-ical examination. Clinical risk factors associated with a higherprobability of malignancy are shown in Table 1 (1, 11, 13, 15).The physician should estimate the pretest probability of cancerby evaluating these risk factors and using clinical judgment.
Alternatively, models using logistic regression (16–18) can beused to estimate this probability. The logistic model of Swensenand coworkers (16) was developed using data from patients withnewly discovered solitary pulmonary nodules that were 4–30 mmin diameter and radiologically indeterminate. The model usesage, smoking history, history of cancer greater than or equal to 5years before the nodule was discovered, diameter, spiculation,and upper lobe location to estimate the probability of malig-nancy. No significant difference was found between results fromthe logistic model and the predictions of physicians (17). Free
Internet-based and mobile device applications are now avail-able that facilitate such calculations. A similar model was de-veloped and subsequently validated in a population witha higher prevalence of malignancy (18, 19).
CT Characteristics
The variables to assess with CT are the nodule’s size, bordercharacteristics, and density.
The probability of malignancy varies with size. For subcentim-eter pulmonary nodules, the overall prevalence of malignancy isrelatively low. In seven studies of nodules detected in lung cancerscreening trials, the prevalence of malignancy was 0–1% inpatients with nodules less than 5 mm in diameter, 6–28% for5- to 10-mm nodules, 33–64% for 11- to 20-mm nodules, and64–82% for nodules measuring greater than 20 mm (20).
Border characteristics can also be used to help estimate theprobability of malignancy. Nodules with irregular, lobulated, orspiculated borders are associatedwith a progressively higher prob-ability of malignancy than those with a smooth border. Similarly,nodules with a pure ground-glass or semisolid appearance havea higher probability of malignancy than pure solid lesions (20).
The density of nodules is also useful to discriminate betweenbenign and malignant nodules. Benign calcification patterns (dif-fuse, central, laminated, or popcorn patterns) and intranodularfat density (i.e., hamartoma) are associated with an extremelylow probability of malignancy, and nodules with these character-istics warrant careful (or even no) observation rather than addi-tional diagnostic testing (Figure 2) (21). Stippled and eccentriccalcification patterns do not exclude malignancy, and furtherwork-up is required.
Ground Glass Opacities (subsolid nodules)
Over the last 20 years, studies of screening-detected and inciden-tally detected peripheral adenocarcinomas have clarified associa-tions betweenCT characteristics, histopathology, growth rates, andclinical outcomes (22–25). In general, the prevalence of malig-nancy is especially high in nodules with pure ground-glass atten-uation (Figure 1A). Small, ground-glass lesions typically representadenocarcinoma in situ, previously referred to as bronchioloalveo-lar cell carcinoma (BAC), or its putative precursor lesion, atypicaladenomatous hyperplasia. These lesions tend to grow slowly andare associated with a very favorable prognosis, even when resec-tion is delayed by a period of observation (26, 27). Acceleratedgrowth or development of a solid component (Figure 1B) isstrongly associated with transition to invasive adenocarcinoma,so either of these findings should prompt surgical consultation.
Pre-test Probability and Post-test Probability
The pretest probability of cancer can be estimated from the clin-ical risk factors and theCT characteristics, as described previously.The posttest probability of cancer can be determined by combin-ing the pretest probability with test results, provided that the testcharacteristics (sensitivity and specificity) are known, by usingBayes’ theorem (see online supplement). However, even if onecan determine the posttest probability of cancer, one then has toask the following questions: Is this probability high enough towarrant surgery? Is it low enough to warrant careful observation?
CONCEPTUAL FRAMEWORK FOR DECISION MAKING
To answer these questions and evaluate management strategies,a conceptual framework is needed that facilitates comparison ofoptions. When selecting and interpreting tests for pulmonarynodule evaluation, it is important to consider not only the likelihood
Figure 1. (A) Ground-glassopacity. (B) Mixed ground-glass and solid nodule, alsocalled a semisolid nodule.(C) Solid lung nodule.
364 AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE VOL 185 2012
using the available information, including the patient’s clinical riskfactors and CT characteristics.
Clinical Risk Factors
The clinical assessment includes the patient’s history and phys-ical examination. Clinical risk factors associated with a higherprobability of malignancy are shown in Table 1 (1, 11, 13, 15).The physician should estimate the pretest probability of cancerby evaluating these risk factors and using clinical judgment.
Alternatively, models using logistic regression (16–18) can beused to estimate this probability. The logistic model of Swensenand coworkers (16) was developed using data from patients withnewly discovered solitary pulmonary nodules that were 4–30 mmin diameter and radiologically indeterminate. The model usesage, smoking history, history of cancer greater than or equal to 5years before the nodule was discovered, diameter, spiculation,and upper lobe location to estimate the probability of malig-nancy. No significant difference was found between results fromthe logistic model and the predictions of physicians (17). Free
Internet-based and mobile device applications are now avail-able that facilitate such calculations. A similar model was de-veloped and subsequently validated in a population witha higher prevalence of malignancy (18, 19).
CT Characteristics
The variables to assess with CT are the nodule’s size, bordercharacteristics, and density.
The probability of malignancy varies with size. For subcentim-eter pulmonary nodules, the overall prevalence of malignancy isrelatively low. In seven studies of nodules detected in lung cancerscreening trials, the prevalence of malignancy was 0–1% inpatients with nodules less than 5 mm in diameter, 6–28% for5- to 10-mm nodules, 33–64% for 11- to 20-mm nodules, and64–82% for nodules measuring greater than 20 mm (20).
Border characteristics can also be used to help estimate theprobability of malignancy. Nodules with irregular, lobulated, orspiculated borders are associatedwith a progressively higher prob-ability of malignancy than those with a smooth border. Similarly,nodules with a pure ground-glass or semisolid appearance havea higher probability of malignancy than pure solid lesions (20).
The density of nodules is also useful to discriminate betweenbenign and malignant nodules. Benign calcification patterns (dif-fuse, central, laminated, or popcorn patterns) and intranodularfat density (i.e., hamartoma) are associated with an extremelylow probability of malignancy, and nodules with these character-istics warrant careful (or even no) observation rather than addi-tional diagnostic testing (Figure 2) (21). Stippled and eccentriccalcification patterns do not exclude malignancy, and furtherwork-up is required.
Ground Glass Opacities (subsolid nodules)
Over the last 20 years, studies of screening-detected and inciden-tally detected peripheral adenocarcinomas have clarified associa-tions betweenCT characteristics, histopathology, growth rates, andclinical outcomes (22–25). In general, the prevalence of malig-nancy is especially high in nodules with pure ground-glass atten-uation (Figure 1A). Small, ground-glass lesions typically representadenocarcinoma in situ, previously referred to as bronchioloalveo-lar cell carcinoma (BAC), or its putative precursor lesion, atypicaladenomatous hyperplasia. These lesions tend to grow slowly andare associated with a very favorable prognosis, even when resec-tion is delayed by a period of observation (26, 27). Acceleratedgrowth or development of a solid component (Figure 1B) isstrongly associated with transition to invasive adenocarcinoma,so either of these findings should prompt surgical consultation.
Pre-test Probability and Post-test Probability
The pretest probability of cancer can be estimated from the clin-ical risk factors and theCT characteristics, as described previously.The posttest probability of cancer can be determined by combin-ing the pretest probability with test results, provided that the testcharacteristics (sensitivity and specificity) are known, by usingBayes’ theorem (see online supplement). However, even if onecan determine the posttest probability of cancer, one then has toask the following questions: Is this probability high enough towarrant surgery? Is it low enough to warrant careful observation?
CONCEPTUAL FRAMEWORK FOR DECISION MAKING
To answer these questions and evaluate management strategies,a conceptual framework is needed that facilitates comparison ofoptions. When selecting and interpreting tests for pulmonarynodule evaluation, it is important to consider not only the likelihood
Figure 1. (A) Ground-glassopacity. (B) Mixed ground-glass and solid nodule, alsocalled a semisolid nodule.(C) Solid lung nodule.
364 AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE VOL 185 2012
using the available information, including the patient’s clinical riskfactors and CT characteristics.
Clinical Risk Factors
The clinical assessment includes the patient’s history and phys-ical examination. Clinical risk factors associated with a higherprobability of malignancy are shown in Table 1 (1, 11, 13, 15).The physician should estimate the pretest probability of cancerby evaluating these risk factors and using clinical judgment.
Alternatively, models using logistic regression (16–18) can beused to estimate this probability. The logistic model of Swensenand coworkers (16) was developed using data from patients withnewly discovered solitary pulmonary nodules that were 4–30 mmin diameter and radiologically indeterminate. The model usesage, smoking history, history of cancer greater than or equal to 5years before the nodule was discovered, diameter, spiculation,and upper lobe location to estimate the probability of malig-nancy. No significant difference was found between results fromthe logistic model and the predictions of physicians (17). Free
Internet-based and mobile device applications are now avail-able that facilitate such calculations. A similar model was de-veloped and subsequently validated in a population witha higher prevalence of malignancy (18, 19).
CT Characteristics
The variables to assess with CT are the nodule’s size, bordercharacteristics, and density.
The probability of malignancy varies with size. For subcentim-eter pulmonary nodules, the overall prevalence of malignancy isrelatively low. In seven studies of nodules detected in lung cancerscreening trials, the prevalence of malignancy was 0–1% inpatients with nodules less than 5 mm in diameter, 6–28% for5- to 10-mm nodules, 33–64% for 11- to 20-mm nodules, and64–82% for nodules measuring greater than 20 mm (20).
Border characteristics can also be used to help estimate theprobability of malignancy. Nodules with irregular, lobulated, orspiculated borders are associatedwith a progressively higher prob-ability of malignancy than those with a smooth border. Similarly,nodules with a pure ground-glass or semisolid appearance havea higher probability of malignancy than pure solid lesions (20).
The density of nodules is also useful to discriminate betweenbenign and malignant nodules. Benign calcification patterns (dif-fuse, central, laminated, or popcorn patterns) and intranodularfat density (i.e., hamartoma) are associated with an extremelylow probability of malignancy, and nodules with these character-istics warrant careful (or even no) observation rather than addi-tional diagnostic testing (Figure 2) (21). Stippled and eccentriccalcification patterns do not exclude malignancy, and furtherwork-up is required.
Ground Glass Opacities (subsolid nodules)
Over the last 20 years, studies of screening-detected and inciden-tally detected peripheral adenocarcinomas have clarified associa-tions betweenCT characteristics, histopathology, growth rates, andclinical outcomes (22–25). In general, the prevalence of malig-nancy is especially high in nodules with pure ground-glass atten-uation (Figure 1A). Small, ground-glass lesions typically representadenocarcinoma in situ, previously referred to as bronchioloalveo-lar cell carcinoma (BAC), or its putative precursor lesion, atypicaladenomatous hyperplasia. These lesions tend to grow slowly andare associated with a very favorable prognosis, even when resec-tion is delayed by a period of observation (26, 27). Acceleratedgrowth or development of a solid component (Figure 1B) isstrongly associated with transition to invasive adenocarcinoma,so either of these findings should prompt surgical consultation.
Pre-test Probability and Post-test Probability
The pretest probability of cancer can be estimated from the clin-ical risk factors and theCT characteristics, as described previously.The posttest probability of cancer can be determined by combin-ing the pretest probability with test results, provided that the testcharacteristics (sensitivity and specificity) are known, by usingBayes’ theorem (see online supplement). However, even if onecan determine the posttest probability of cancer, one then has toask the following questions: Is this probability high enough towarrant surgery? Is it low enough to warrant careful observation?
CONCEPTUAL FRAMEWORK FOR DECISION MAKING
To answer these questions and evaluate management strategies,a conceptual framework is needed that facilitates comparison ofoptions. When selecting and interpreting tests for pulmonarynodule evaluation, it is important to consider not only the likelihood
Figure 1. (A) Ground-glassopacity. (B) Mixed ground-glass and solid nodule, alsocalled a semisolid nodule.(C) Solid lung nodule.
364 AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE VOL 185 2012
Características Radiográficas • Tamaño(y(probabilidad(de(Malignidad
– <(3(mm:(0.2% – 4f7(mm:(0.9% – 8f20(mm:(18% – >(20(mm:(50%
• Bordes(y(probabilidad(de(Malignidad – Lisos:(20% – Lobulados:(60% – Espiculados:(90% – Corona(radiada:(95%
Características Radiográficas • Calcificación
– Sugerente(de(benignidad • Difusa,(homogenea • Central • Laminada((concentrica) • Popcorn
– No((sugerente(de(benignidad • Reticular • Punteado • Amorfo • Exentrico
• Atenuación – No(útil(in(general – Grasa(sugiere(Hamartoma
CASOS%CLINICOS%
EC(62(años Tabaco:(5(cig/día(por(20(años TBC((f);(NAC((f);(EPD((f) VEF1(78% Hcto(34% PCR(40(mg/L Derivado(desde(consultorio(por(Nodulo(pulmonar(que(se(observaen(control(radiológico(por(cuadro(de(�Resfrio(refuerte�.
Características Radiográficas
CT=relative=attenuation=coefficients=(Hounsfield=units,=HU)
Fat f50(to(f100
Water 0
Cyst 0(to(20
Fresh(blood(clot 40(to(60
Noncalcified(nodule 40(to(160
Calcified(nodule( >200
Bone 1000
Air f1000
CASOS%CLINICOS%
GL(68(años Antecedente(de(Cáncer(Renal(operado(hace(8(años TABACO(Activo(=(Más(30(paq/año TBC((f);(NAC((f);(EPD((f) VEF1(80% Hcto(37% Derivado(desde(Urología(por(Nódulo(Pulmonar(en(control(TAC(de(Abdomen
Características Radiográficas
Morfología Nódulos de bordes lisos, adheridos o
próximos a la pleura o adheridos a Cisuras, localizados juxtavascularmente, y <10 mm probablemente son benignos Linfonodos Intrapulmonares Cicatrices Nodulares Granulomas Placas pleurales Nodulares
Características Radiográficas • Morfología
– (Nodulos(Cavitados • Pared(Fina(<=1=mm:(usualmente(benigno • Grosor(Pared((1K4=mm:(Frecuentemente(benigno • Grosor(Pared(>=5=mm:(usualmente(maligno
– Nodulos(rodeados(por(un(halo • Aspergilosis(Angioinvasora(o(zygomicosis • Linfoma • Carcinoma(Bronquioalveolar( • Coccidiomicosis • Infeccion(bacteriana
Características Radiográficas
Quistes paredes delgadas Coccidiomicosis Neumocistis Jiroveci Metastasis de Cancer de Vejiga, menos
comunmente Sarcoma o Cáncer Tiroideo Laceración pulmonar Traumatica
Nodulos rodeados por pequeñas lesiones satélites son usualmente benignas.
Características Radiográficas
• Crecimiento – Revisar(Rx(o(TAC(previos – Lesiones(Malignas(tienden(a(tener(tiempos(de(doblaje((entre(20(y(400(dias.
– Lesiones(Benignas(generalmente(tienen(tiempos(de(doblaje(<(20(dias(a(>(400(días
– Doblaje(de(Volumen(=(30%(incremento(en(el(diametro – Una(guía(general(es(que(2(años(de(estabilidad,(fuertemente,(sugiere(benignidad • NO(aplicable(para(Opacidades(en(Vidrio(Deslustrado • NO(aplicable(para(Carcinoide
CASOS%CLINICOS%
HRU(75(años Trabaja(en(pinturas(y(barnices TABACO(1(cig/día(por(7(años DM(tipo(2((+)(–(HTA((+)( TVP(hace(6(años.(Disnea(de(Esfuerzo.(Disminucion(apetito TBC((f);(NAC((f);(EPD((f) VEF1(96%(
PET- NPS • PET(es(más(preciso(que(el(CT(en(distinguir(entre(
lesiones(benignas(y(malignas
• Sensibilidad(90%,(Especificidad(80% • MENOS=SENSIBLE=EN=NODULOS=<=8=–=10=mm
• Falsos=positivos:(Infecciosos((Micosis(endémicas(o(infecciones(por(micobacterias,(Sarcoidosis,(Nòdulos(reumatoideos(y(otras(lesiones(granulomatosas
• Falsos=negativos:(Adenocarcinoma(in(situ,(Tumor(Carcinoide,(y(algunos(Adenocarcinomas(bien(diferenciados((Mucinoso)
• SUVmax=>=2.5=sugiere=Cáncer=o=inflamación=activa
BIOPSIA=GUIADA=POR=CT:
Sensibilidad(90%.
La(Sensibilidad(varía(ampliamente((65(–(94%)
Riesgo(de(Neumotórax(varía:(15(–(43%((Mediana(27%).(El(Riesgo(de(requerir(tubo(de(Drenaje(es(de(4(–(18%
Factores(de(riesgo(para(Neumotórax: Lesiones(pequeñas Localización(profunda Enfisema
Sitio(de(punción(lateral Cercanía(con(las(cisuras Ángulo(de(entrada(en(la(pleura(bajo.
Wahidi MM, Govert JA, Goudar RK, Gould MK, McCrory DC. Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer? ACCP evidence-based clinical practice guidelines (2nd edition). Chest 2007;132:94S–107S.
ESTIMAR(LA(PROBABILIDAD(DE(CANCER
Swensen(SJ,(Silverstein(MD,(Edell(ES,(Trastek(VF,(Aughenbaugh(GL,(Ilstrup(DM,(Schleck(CD.(Solitary(pulmonary(nodules:(clinical(prediction(model(versus(physicians.(Mayo=Clin=Proc=1999;74:319–329.
Gould(MK,(Ananth(L,(Barnett(PG.(A(clinical(model(to(estimate(the(pretest(probability(of(lung(cancer(in(patients(with(solitary(pulmonary(nodules.(Chest=2007;131:383–388.
Schultz(EM,(Sanders(GD,(Trotter(PR,(Patz(EF(Jr,(Silvestri(GA,(Owens(DK,(Gould(MK.(Validation(of(two(models(to(estimate(the(probability(of(malignancy(in(patients(with(solitary(pulmonary(nodules.(Thorax=2008;63:335–341.
Manejo 1
• Nodulo que está claramente creciendo debe ser biopsiado o resecado.
• Si está estable por más de 2 años debe ser considerado benigno a menos que tenga morfología de vidrio esmerilado.
• Nodulo con baja probabilidad de cáncer pueden ser seguidos con TAC seriados.
• Nodulos < 1 cm y probabilidad intermediaria de cáncer pueden ser seguidos con TAC seriados.
Manejo 2
• Nodulos(>(1(cm(o(probabilidad(intermedia(de(cáncer(puede(ser(evaluado(con(PET(or(biopsiado – PET(negativo:(CT(tórax(seriado – PET(positivo:(Resección(or(biopsia,(si(no(es(candidato(a(cirugia.
• Nodulo(con(alta(probabilidad(de(cáncer(debe(ser(resecado.
• CT(Tórax(seriado – Fleischner(Society(guidelines – NO(aplicable(a(posibles(cánceres(extratorácicos
• Screening(con(TAC(Tórax(ha(demostrado(un(significativo(número(de(nuevos(nódulos,(la(mayoría(son(benignos.(
Original(Ar*cle((Reduced(Lung1Cancer(Mortality(with(Low1Dose(Computed(
Tomographic(Screening(
N'Engl'J'Med'Volume'365(5):395A409'
August'4,'2011'
Cumula8ve'Numbers'of'Lung'Cancers'and'of'Deaths'from'Lung'Cancer'
Protocolo&de&pesquisa&precoz&de&cáncer&pulmonar&% Criterios=de=inclusión: 1.(Edad(≥(de(55(años(que(fuman(≥(15(paquetes(año(o(que(dejaron(de(fumar(esa(cantidad(hace(<(15(años
2.(Edad(≥(40(años,(fumadores(habituales(con(antecedentes(familiares(de(cáncer(pulmonar
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(
Clasificación=de=los=nódulos=en=TAC=de=tórax 1.=Benignos:=
• 1A.(Con(calcificación(central,(en(toda(la(periferia(o(uniforme.(
• 1B.(Con(grasa(
• 1C.(Nódulo(sólido(sin(cambios(en(tamaño(por(2(años
• 1D.(Diámetro((en(cualquier(medición)(<(4(mm(
2.=Indeterminados:
• 2A.(Diámetro(entre(4(y(10(mm
• 2B.(Nódulo(que(crece(sin(alcanzar(los(7(mm
3.=Sospechosos:
• 3A.(Diámetro(>10(mm
• 3B.(Nódulo(que(crece(alcanzando((7(mm
• 3C.(Diámetro(entre(4(y(10(mm(con(bordes(espiculados (
Nódulo'pulmonar'
Nódulo'benigno'
Calcificaciones'con'patrón'de'benignidad'
Densidad'grasa'
Ausencia'de'crecimiento'en'2'años'
Nódulo'maligno'
Nódulo''sólido'>'2'cm'
Nódulo'sólido'contorno'espiculado'
Nódulo'sólido'con'broncograma'aéreo'
Nódulo'no'sólido'persistente'>'1'cm'
Nódulo'mixto''persistente'
Calcificaciones'punteadas'o'excéntrica'
Nódulo'indeterminado'
Nódulo'sólido'<'2'cm':'
''Asin'espiculaciones'
'''Asin'broncograma'
'''Asin'calcificaciones''''''''malignas''
''A'sin'calcificaciones''''''benignas'o'grasa''
Nódulo'no'solido''persistente'<'1'cm'
resecar Controlar,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,abandonar
Dr. Juan Carlos Diaz Hospital Clínico Universidad de Chile Clínica Alemana de Santiago
NODULO(PULMONAR
Radiología(previa( (Rx(o(TAC(Tórax)
EVALUAR(RIESGO(DE(CANCER(PULMONAR
BAJO INTERMEDIO ALTO
EDAD((años) <(45( 45f60 >60 Ant(Cáncer NO SI Uso(TABACO NUNCA <(1(Paq/día ≥(1(paq/día Cese(habito ≥(7(años <(7(años NUNCA EPOC NO SI SI Expo(Asbesto NO SI TAMAÑO <(8 8f20 >(20 Bordes Lisos Lobulados Espiculados
Antecedentes=de=RIESGO=DE=CANCER=PULMONAR: f(HISTORIA(DE(TABAQUISMO(ACTUAL(O(PREVIO f(CONTACTO(CON(ASBESTO f(HISTORIA(PERSONAL(DE(CANCER f(HISTORIA(FAMILIAR(DE(CANCER(PULMONAR f(ANTECEDENTES(DE(EPOC(O(FIBROSIS(PULMONAR f(TABAQUISMO(PASIVO
TAC=TORAX=dosis=plena
ALGORITMO(NODULOS(SOLIDOS
NODULO=SOLIDO =≤=4=mm
NODULO=BENIGNO
NO=REQUIERE=CONTROL
NO=REQUIERE=CONTROL=
CONTROL ANUAL=POR=2=AÑOS TAC=BAJA=DOSIS
BAJO=RIESGO
RIESGO=INTERMEDIO
ALTO=RIESGO
NODULO=SOLIDO =5=–=10=mm
TAC(TORAX(BAJA(DOSIS (3(–(6(meses
Paciente(factores(de(riesgo((+) Tamaño(nódulo Contorno(espiculado Presencia(de(Broncograma(aéreo Calcificaciones(punteadas(o(excéntricas
NO=CRECE=o=se=resuelve
CONTROL ANUAL=POR=2=AÑOS TAC=BAJA=DOSIS
CRECE(=(Aumento(de(10%(diametro(
CRECE=
<=7=mm
CONTROL TAC=3=meses
≥=7=mm BIOPSIA Tasa(de(malignidad(de(acuerdo(al(tamaño(del(nodulo(Mayo(Clinic(Study'
Tamaño'de'la'lesión'
Tasa'de'malignidad'
<'4'mm' 0%'
4'–'7'mm' 1%'
7'–'20'mm' 15%'
>'20'mm' 81%'
NODULO=SOLIDO NO=CALCIFICADO >=10=mm
• (Factores(de(riesgo((+) • (Antecedente(personal(de(Cáncer
TAC(TORAX(CONTRASTADO
<=15=HU >=15=HU
BIOPSIA
TAC(TORAX(BAJA(DOSIS(EN(6(MESES CRECE(¡¡
Nódulos Sólidos
• Creció=en=control=============3K6=meses
Sólido
5f8(mm
Sólido
>8(mm
PET=/=CT
SUV=<=1==============Probablemente(Benigno
Control(Anual((((((((((((((((TAC(de(baja(Dosis
Programa(Detección(Precoz
SUV=>=1===============Probablemente(Maligno
BIOPSIA
ALGORITMO(NODULOS((((NO=SOLIDOS
• Probablemente(Benignos VE(<(5(mm
• TAC(en(((((((((((6(meses VE(5f10(mm
No=crece================================================= (o=crece=<=10%=de=su=diámetro)
CONTROL(ANUAL(TAC(TORAX(BAJA(DOSIS
CRECE=>=10% o=Aparece=componente=Sólido
BIOPSIA
ALGORITMO(NODULOS((((NO=SOLIDOS
• TAC=en=6=meses
VE(>(10(mm
• TAC=en=6=meses
Mixto((M) >(10(mm
PERSISTE=o=
Cambia=densidad
BIOPSIA
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(
Conducta=frente=al=hallazgo=de=nódulos = 1. Benignos:=Control(con(TAC(de(baja(dosis(a(los(12(y(24(meses.
(
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(
Conducta=frente=al=hallazgo=de=nódulos =2.=Indeterminados:=control(de(TAC((baja(dosis(excepto(para(los(no(sólidos)(entre(3(y(6(meses(de(acuerdo(al(nivel(de(sospecha:
• 2A.(Si(no(hay(crecimiento(nuevo(control(de(TAC(a(los(12(y(24(meses((se(cuentan(desde(el(primer(TAC(indeterminado).(
• 2B.(Si(crece(sin(sobrepasar(los(7(mm(nuevo(control(de(TAC(entre(3(y(6(meses.
• 2C.(Si(crece(alcanzando((7(mm(pasa(a(categoría(de(sospechoso
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(
Conducta=frente=al=hallazgo=de=nódulos =3.=Sospechosos 3A.=Realizar(biopsia(percutánea,(broncoscópica(o(
quirúrgica( 3B.(Realizar(TAC(con(protocolo(de(medición(de(densidad(
pre(y(post(administración(de(medio(de(contraste. 3B1.(Aumentan((<15(HU(de(densidad:(control(con(TAC(de(
baja(dosis(entre(6(y(12(meses 3B2.(Aumentan((15(HU(de(densidad:(biopsia 3C.(Realizar(PETfCT 3C1.(Sin(captación(anormal:(control(con(TAC(de(baja(dosis(entre(6(y(12(meses
3C2.(Captación(anormal:(biopsia
Conducta=frente=al=hallazgo=de=nódulos =3.=Sospechosos 3D.(Para(aquellos(nódulos(que(se(consideran(con(alta(probabilidad(de(ser(benignos:(Control(de(TAC((baja(dosis(o(alta(resolución(localizada(en(el(nódulo)(entre(3(y(6(meses(de(acuerdo(al(nivel(de(sospecha,(y(luego(a(los(12(y(24(meses(de(acuerdo(al(nivel(de(sospecha.
Berg(C,.(Reduced(LungfCancer(mortality(with(low(dose(computed(tomographic(Screening.(NLSTRT.(N(Engl(J(Med(2011;(365:395f409(